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. 2020 Nov 9;9:e54916. doi: 10.7554/eLife.54916

Control of Slc7a5 sensitivity by the voltage-sensing domain of Kv1 channels

Shawn M Lamothe 1,, Nazlee Sharmin 2,, Grace Silver 1, Motoyasu Satou 3,4, Yubin Hao 1, Toru Tateno 4, Victoria A Baronas 1, Harley T Kurata 1,
Editors: Kenton J Swartz5, Baron Chanda6
PMCID: PMC7690953  PMID: 33164746

Abstract

Many voltage-dependent ion channels are regulated by accessory proteins. We recently reported powerful regulation of Kv1.2 potassium channels by the amino acid transporter Slc7a5. In this study, we report that Kv1.1 channels are also regulated by Slc7a5, albeit with different functional outcomes. In heterologous expression systems, Kv1.1 exhibits prominent current enhancement ('disinhibition') with holding potentials more negative than −120 mV. Knockdown of endogenous Slc7a5 leads to larger Kv1.1 currents and strongly attenuates the disinhibition effect, suggesting that Slc7a5 regulation of Kv1.1 involves channel inhibition that can be reversed by supraphysiological hyperpolarizing voltages. We investigated chimeric combinations of Kv1.1 and Kv1.2, demonstrating that exchange of the voltage-sensing domain controls the sensitivity and response to Slc7a5, and localize a specific position in S1 with prominent effects on Slc7a5 sensitivity. Overall, our study highlights multiple Slc7a5-sensitive Kv1 subunits, and identifies the voltage-sensing domain as a determinant of Slc7a5 modulation of Kv1 channels.

Research organism: None

Introduction

A wide array of ion channels underlie distinct and regulated patterns of electrical signaling in excitable cells (Gutman et al., 2005; Yu et al., 2005). Ion channel subtypes possess different voltage dependence, kinetics, sensitivity to signaling cascades, regulation by physiological ions, and other stimuli that contribute to the moment-to-moment and long-term adaptability of electrical signaling in the body. In contrast to the rich complexity of multi-protein complexes known to regulate many synaptic neurotransmitter receptors (Jacobi and von Engelhardt, 2018; Tomita, 2019), the majority of research on voltage-dependent potassium (Kv) channels has focused on mechanisms of voltage sensitivity. Studies of the Drosophila Shaker channel, the first cloned Kv channel, have generated a detailed understanding of core principles of voltage-dependent regulation (Bezanilla, 2008; Bezanilla, 2006; Tempel et al., 1988; Timpe et al., 1988). In comparison, regulation of mammalian Kv channels by extrinsic factors such as accessory proteins or signaling cascades is less understood. It is noteworthy that the Kv channels are the most diverse ion channel gene family, with nearly 50 human genes known to encode pore-forming subunits, but there are a relatively small number of recognized and well-studied accessory proteins (Gutman et al., 2005).

Based on prior observations of variable Kv1.2 function in different cell types, we hypothesized that Kv1.2 is influenced by a variety of unidentified regulators (Abraham et al., 2019; Baronas et al., 2017, Baronas et al., 2016, Baronas et al., 2015; Rezazadeh et al., 2007). We have pursued the identification of novel regulatory proteins that may influence this Kv channel, which has served as a structural model for interpretation of functional data (Long et al., 2007; Matthies et al., 2018). We identified powerful effects of an amino acid transporter, Slc7a5, on the gating and expression of Kv1.2 (Baronas et al., 2018). Slc7a5 has been primarily studied in its role as a transporter of drugs and amino acids (Barollo et al., 2016; Dickens et al., 2017; Soares-da-Silva and Serrão, 2004), and also in the context of nutrient regulation of mTOR signaling (Nicklin et al., 2009; Wolfson et al., 2016), but is not recognized as a regulator of ion channel function. Recessively inherited Slc7a5 mutations were recently identified in patients with neurological symptoms including autism and motor delay. These traits were attributed to defective Slc7a5-mediated amino acid transport in endothelial cells in the blood–brain barrier, where it is prominently expressed (Kanai et al., 1998; Tărlungeanu et al., 2016), although Slc7a5 likely has diverse physiological roles in many cell types. For example, low levels of Slc7a5 have been reported in neurons, and other studies have suggested transport-independent functions of Slc7a5 in early development (Katada and Sakurai, 2019; Matsuo et al., 2000). In addition, Slc7a5 is essential for T cell differentiation and clonal expansion (Marchingo et al., 2020), correlated to negative outcomes and growth of many proliferating tumor cell types (Salisbury and Arthur, 2018), and causes embryonic lethality in Slc7a5 knockout mice (Poncet et al., 2020).

Several structures of Slc7a5 have been recently reported, highlighting its conserved LeuT fold comprising 12 transmembrane helices (Lee et al., 2019; Yan et al., 2019), but there are few clues into the mechanisms underlying the powerful modulation of Kv1.2 by Slc7a5. Features of Slc7a5-dependent modulation of Kv1.2 currents include a pronounced shift (~−50 mV) of the voltage-dependence of activation, along with prominent inhibition of currents that is relieved by strong negative holding voltages. This voltage-dependent relief of inhibition can be very pronounced, often exceeding 10-fold enhancement of whole cell current. Strikingly, certain epilepsy-linked mutations of Kv1.2 are hypersensitive to Slc7a5-mediated modulation, leading to extraordinarily large (sometimes >100 mV) gating shifts when co-expressed with Slc7a5 (Baronas et al., 2018; Masnada et al., 2017; EuroEPINOMICS RES consortium et al., 2015). Although these effects are very prominent, the underlying structural determinants of the Slc7a5:channel interaction, its specificity among other Kv channels, and the role of Slc7a5 modulation in vivo, remain unclear.

In this study, we expanded our investigation of Slc7a5-mediated regulation to include another prominent neuronal potassium channel, Kv1.1. This channel subunit exhibits overlapping patterns of expression with Kv1.2 in the central nervous system, and often assembles with Kv1.2 into heteromeric channels (Coleman et al., 1999; Manganas and Trimmer, 2000; Shamotienko et al., 1997). Our findings demonstrate that Kv1.1 is especially sensitive to modulation by Slc7a5, with endogenous levels of Slc7a5 having prominent regulatory effects. However, Kv1.1 exhibits different outcomes of Slc7a5 modulation relative to Kv1.2, whereas Kv1.5 is Slc7a5-insensitive. We use these differences to probe for sequence elements that influence Slc7a5 sensitivity, and identify the voltage-sensing domain as an important determinant. In summary, this study highlights a non-canonical regulatory influence of Slc7a5 on multiple Kv1 channels and identifies critical channel segments involved in these effects.

Results

Kv1.1 sensitivity to Slc7a5

We recently reported several powerful effects of Slc7a5 on the voltage-gated potassium channel Kv1.2 (Baronas et al., 2018). This included a prominent Slc7a5-mediated shift of the voltage-dependence of activation by roughly −50 mV (Figure 1A, dashed lines, data reproduced from Baronas et al., 2018 for comparison). We tested the effects of Slc7a5 co-expression with another prominent neuronal Kv1 channel, Kv1.1. Our initial characterization of Kv1.1 did not reveal a significant shift in the voltage-dependence of activation in the presence of Slc7a5 (Figure 1A,B).

Figure 1. Slc7a5 has no effect on voltage-dependent activation of Kv1.1.

Figure 1.

(A) Conductance-voltage relationships were determined for indicated combinations of Kv1.1 and Slc7a5 expressed in LM mouse fibroblasts. Cells were stepped between −130 mV and +110 mV in 10 mV increments, with a tail current voltage of −20 mV. Dashed lines indicate previously reported conductance-voltage relationship in Kv1.2±Slc7a5 (Baronas et al., 2018). Fit parameters for Kv1.1 were (co-expression with Slc7a5 in parentheses): V1/2 = -34.9 ± 0.3 mV (−37.5 ± 0.2 mV); k = 6.9 ± 0.9 mV (7.3 ± 0.9 mV). No statistical difference in voltage-dependent gating parameters were detected for Kv1.1±Slc7a5. (B) Exemplar records illustrating voltage-dependent activation of Kv1.1±Slc7a5 (20 mV interval between voltage steps). Current traces with a −30 mV step are bolded in black.

Figure 1—source data 1. Slc7a5 effects on voltage-dependence of activation of Kv1.1.

A second signature feature of Slc7a5 modulation of Kv1.2 is prominent current enhancement (‘disinhibition’) when membrane voltage is held at supraphysiological voltages near −120 mV (or more negative). This behavior arises due to an initial Slc7a5-mediated inhibition of channels, which is apparent immediately upon break-in and is then relieved by hyperpolarization. Exemplar records illustrating this relief of Slc7a5-mediated inhibition (Figure 2A,B) were generated with intermittent 50 ms depolarizations to +10 mV from a holding potential of −120 mV (note that sweeps are concatenated for illustration, the interpulse interval was 2 s). Kv1.2 expressed alone exhibits relatively large currents, and no apparent relief of inhibition (Figure 2A,C). However, Kv1.2 co-expression with Slc7a5 (Figure 2A,D) leads to baseline currents that are small shortly after whole cell break-in but increase substantially after 20–30 s at a holding potential of −120 mV. We observed an average 5.1 ± 2.2 fold (mean ± S.D.) current enhancement of Kv1.2 with Slc7a5, although this is variable and reached 11.5-fold in some cells (Figure 2C,D). In contrast, this effect was prominent for Kv1.1 (Figure 2B), even in the absence of co-transfected Slc7a5 (Figure 2B), with an average current enhancement of 3.2 ± 1.2 fold (Figure 2E). These features (inhibition of baseline current, and relief of inhibition with −120 mV holding potential) became more prominent when Slc7a5 was co-expressed with Kv1.1, with a 6.1 ± 2.6 fold change (Figure 2B,F). Taken together, these findings indicate that Slc7a5 causes prominent inhibition of both Kv1.1 and Kv1.2. Reversal of Slc7a5-mediated inhibition by strong hyperpolarizing voltages leads to enhancement of current.

Figure 2. Kv1.1 exhibits prominent disinhibition in response to hyperpolarizing (−120 mV) voltage.

Figure 2.

(A,B) Disinhibition of Kv1.2 (A) or Kv1.1 (B) was tested by delivering repetitive 50 ms depolarizations to +10 mV (every 2 s), with an interpulse holding voltage of −120 mV. When Kv1.2 is expressed alone, currents remain stable during this protocol (A), whereas Kv1.1 exhibits prominent recovery from Slc7a5-mediated inhibition (B). (C–F) Cell-by-cell currents before and after a hyperpolarizing pulse train to −120 mV is illustrated for indicated combinations of Kv1.1, Kv1.2, and Slc7a5 (1st pulse refers to current density of the first +10 mV depolarization, post-train refers to current density of the final +10 mV pulse). Data for Kv1.2±Slc7a5 is reproduced from Lamothe and Kurata, 2020. A prominent difference between Kv1.2 and Kv1.1 is that Kv1.1 exhibits disinhibition without a requirement for overexpression of Slc7a5 by co-transfection. Current density pre and post-train was compared using a paired t-test (* indicates p<0.05). Kv1.2 (n = 11, no statistical difference); Kv1.2 + Slc7a5 (n = 16, p=0.001); Kv1.1 (n = 11, p=0.004); Kv1.1 + Slc7a5 (n = 13, p=0.003).

Figure 2—source data 1. Disinhibition of Kv1.1 at hyperpolarized voltages.

Knockdown and rescue of Slc7a5-mediated modulation of Kv1.1

Slc7a5 modulation differs between Kv1.1 and Kv1.2, as there is no shift of Kv1.1 activation (Figure 1). Also, Kv1.1 channels appear more sensitive to Slc7a5, as they exhibit features of Slc7a5-dependent modulation without co-transfection of Slc7a5 cDNA. Based on these observations, we tested whether Kv1.1 is modulated by endogenous levels of Slc7a5 in LM cells. We generated several Slc7a5 shRNA knockdown cell lines, using lentiviral delivery and puromycin selection to maintain stable shRNA expression. Initial patch clamp recordings from Slc7a5 shRNA cell lines exhibited significant cell-to-cell variability, but many cells exhibited larger baseline current density (immediately after break-in) relative to the parental LM cell line, together with weak current enhancement/disinhibition (Figure 3—figure supplement 1A,B). We further isolated individual clonal cell lines by serial dilution of the ShR1 and ShR4 groups, and these clonal cell lines exhibited more consistently attenuated modulation of Kv1.1 (Figure 3—figure supplement 1C). Most of the clonal cell lines also exhibited prominent reduction of Slc7a5 protein expression (Figure 3—figure supplement 1D). We selected a cell line (ShR4-1) with prominent knockdown of Slc7a5, confirmed by qPCR and Western blot (Figure 3A–C).

Figure 3. Modulation of Kv1.1 function by knockdown and rescue of Slc7a5.

(A) Quantitative real-time PCR of RNA extracted from parental mouse LM fibroblasts or ShR4-1 (Slc7a5 knockdown cell line) (n = 4, student’s t-test). (B) Western blot of endogenous Slc7a5 in parental LM cells or ShR4-1 cells. Actin was used as a loading control. (C) Densitometry measurements of Slc7a5 expression from parental and ShR4-1 cells (statistical comparison with paired t-test, n = 5). (D,E) Exemplar current records illustrating recovery from Slc7a5 inhibition of Kv1.1 during at −120 mV, as described in Figure 2, using LM or ShR4-1 cells as indicated. In panel (E), Slc7a5 expression is rescued by overexpression with a plasmid encoding human Slc7a5. (F) Cell-by-cell currents before and after the −120 mV pulse train of Kv1.1, in parental LM cells or ShR4-1 cell line (n = 9–15, statistical comparison with paired t-test between 1 st pulse and last pulse). (G) Fold disinhibition from the first to last pulses of a −120 mV pulse train of Kv1.1 in parental LM cells (mean ± S.D.; 2.96 ± 1.29), ShR4-1 cells (1.36 ± 0.20), or ShR4-1 with Slc7a5 rescue (7.83 ± 4.12)(n = 9–15, Kruskal-Wallis multiple comparisons test, Dunn’s post-hoc test).

Figure 3—source data 1. Modulation of Kv1.1 by endogenous Slc7a5.

Figure 3.

Figure 3—figure supplement 1. Generation of Slc7a5 knockdown cell lines.

Figure 3—figure supplement 1.

(A,B) Multiple puromycin-resistant cell lines infected with shRNA1-4 constructs were transfected with Kv1.1 cDNA and tested for current disinhibition and current magnitude, as described in Figure 2. Fold disinhibition of Kv1.1 current between first and last pulses of a −120 mV pulse train, in LM cells and Slc7a5 shRNA cell lines mean +/- S.D.; LM (2.73 ± 0.91, n = 8), ShR1 (1.86 ± 0.71, n = 9), ShR2 (2.84 ± 1.93, n = 5), ShR3 (2.31 ± 1.55, n = 4), ShR4 (2.07 ± 1.05, n = 10). (C,D) Multiple clonal cell lines were generated by serial dilution of the ShR1 and ShR4 cell lines, and screened for disinhibition of current (C) and Slc7a5 expression by Western blot (D). Detailed characterization of the ShR4-1 cell line is described in the main text. Fol disinhibition of Kv1.1 current from the first to last pulses of a −120 mV pulse train of are: mean +/- S.D.; LM (2.63 ± 1.29, n = 15), ShR1-3 (1.32 ± 0.71, n = 5), ShR1-4 (1.41 ± 0.17, n = 12), ShR1-5 (1.49 ± 0.07, n = 4), ShR1-6 (1.49 ± 0.12, n = 4), ShR4-1 (1.14 ± 0.16, n = 3), ShR4-2 (1.50 ± 0.28, n = 4), ShR4-3 (1.49 ± 0.08, n = 4), ShR4-4 (1.76 ± 0.31, n = 3), ShR4-5 (1.50 ± 0.27, n = 2).
Figure 3—figure supplement 2. Knockdown of Slc7a5 does not alter voltage-dependent activation of Kv1.1.

Figure 3—figure supplement 2.

(A) Conductance-voltage relationships for combinations of Kv1.1 and Slc7a5 expressed in LM mouse fibroblasts. Cells were stepped between −130 mV and +110 mV in 10 mV increments, with a tail current voltage of −20 mV. Fit parameters for Kv1.1 were: parent LM cells (V1/2 = -38.2 ± 3.3 mV; k = 8.5 ± 1.5 mV; n = 10), ShR4-1 cells (V1/2 = -34.4 ± 2.3 mV; k = 9.2 ± 1.4 mV; n = 10). No statistical difference was detected between the two conditions. (B) Exemplar records illustrating voltage-dependent activation of Kv1.1 in parental LM or ShR4-1 cells. Current traces with step voltages of −30 mV are bolded in black (steps shown in 20 mV increments).
Figure 3—figure supplement 3. Slc7a5 suppresses current and shifts the voltage-dependence of activation of Kv1.2–1.1 heterotetramers.

Figure 3—figure supplement 3.

(A) Conductance-voltage relationships for the indicated combinations of Kv1.2–1.1 heterotetramers and Slc7a5 expressed in LM cells or ShR4-1 cells. Cells were stepped between −130 mV and +110 mV in 10 mV increments, followed by a tail current voltage of −30 mV. Representative current traces illustrate the protocol (20 mV increments are shown, with the step to −20 mV bolded in black). Fit parameters for Kv1.2–1.1 in parental LM cells were (with +Slc7a5 in parentheses): V1/2 = -25.5 ± 2.8 mV (−54.6 ± 3.4 mV); k = 8.6 ± 1.4 mV (9.7 ± 0.8 mV). Fit parameters for Kv1.2–1.1 in ShR4-1 were (with +Slc7a5 in parentheses): V1/2 = -24.2 ± 3.3 mV (−61.3 ± 1.6 mV); k = 8.1 ± 1.1 mV (10.5 ± 1.1 mV). (B) Exemplar current records illustrating disinhibition of Kv1.2–1.1 heteromers +/- Slc7a5 during a −120 mV hyperpolarizing voltage, as described in Figure 2. (C) Cell-by-cell current density before and after a −120 mV pulse train (30 s) of Kv1.2–1.1 heteromers alone (n = 17) or co-expressed (n = 10) with human Slc7a5. (D) Fold disinhibition of Kv1.2–1.1 currents, between the first and the last pulses of the −120 mV pulse train.

Expression of Kv1.1 in ShR4-1 cells generated larger currents relative to parental LM cells, and although some modest Kv1.1 current disinhibition persisted in ShR4-1 cells (Figure 3F), the magnitude of this effect was significantly attenuated relative to parental LM cells (Figure 3G). This was consistent with a loss of Slc7a5-mediated inhibition due to Slc7a5 knockdown. We also used ShR4-1 cells to test whether endogenous Slc7a5 influences voltage-dependent activation of Kv1.1 (which activates at significantly more negative voltages relative to Kv1.2, see Figure 1). Knockdown of Slc7a5 in the ShR4-1 cell line did not affect Kv1.1 voltage-dependent activation relative to parental LM cells (Figure 3—figure supplement 2), confirming that Kv1.1 and Kv1.2 exhibit distinct functional responses to Slc7a5. The human Slc7a5 transcript is resistant to the mouse-targeted shRNA sequence used for the ShR4-1 cell line, due to two base pair mismatches. Thus, we could rescue Slc7a5 expression in ShR4-1 cells by transfection with human Slc7a5 cDNA (~91% sequence identity, Figure 3B,E–G). This rescued Kv1.1 modulation similar to parental LM cells (Figure 3E), including suppression of baseline Kv1.1 current density, and prominent current enhancement after holding at −120 mV (Figure 3F,G, increased currents between ‘1st’ and ‘last’ pulses of a −120 mV train). These findings indicate that Slc7a5 is an important contributor to the Kv1.1 modulation observed in LM cells. Additionally, this illustrates that Kv1.1 is particularly sensitive to Slc7a5, leading to modulation by endogenous levels of Slc7a5 in a heterologous cell line.

Slc7a5 effects on Kv1.2–1.1 heterotetramers

Kv1.2 and Kv1.1 co-assemble to form heteromers (Al-Sabi et al., 2013; Coleman et al., 1999). Using a concatemeric construct of linked Kv1.2 and Kv1.1 (Baronas et al., 2015), we tested Slc7a5 modulation of Kv1.2-Kv1.1 heteromeric channels. Kv1.2-Kv1.1 dimers exhibited a V1/2 of −25.5 ± 2.8 mV in parental LM cells and −24.2 ± 3.3 mV in ShR4-1 (Figure 3—figure supplement 3A). The linked channel did not undergo any current enhancement in either cell line (Figure 3—figure supplement 3B–D) indicating that sensitivity to endogenous Slc7a5 levels is not fully retained in Kv1.2-Kv1.1 heteromers. Overexpression of Slc7a5 in LM and ShR4-1 cells shifted Kv1.2-Kv1.1 channel activation by 30–35 mV, along with pronounced inhibition that was relieved with a −120 mV holding voltage (Figure 3—figure supplement 3A–D). We have not determined the stoichiometric requirement for the full Slc7a5-mediated gating shift in Kv1.2 (~−50 mV); however, smaller effects observed in Kv1.2-Kv1.1 linked dimers relative to either homomeric channel suggests that subunit composition influences the functional outcome of Slc7a5 modulation.

Slc7a5-mediated amino acid transport is not required for Kv1 modulation

It is not known whether Kv1 modulation is due to direct physical interaction with Slc7a5, or via an intermediary or downstream signaling cascade. Slc7a5-mediated amino acid transport is an important contributor to nutrient-dependent activation of mTORC1 (Nicklin et al., 2009; Saxton and Sabatini, 2017; Wolfson et al., 2016, Wolfson et al., 2016), so a signal arising from Slc7a5-mediated transport could underlie Kv1 channel modulation (Figure 4A). We tested whether pharmacological inhibition of Slc7a5 or mTOR would influence Slc7a5 modulation of Kv1.1. We incubated Kv1.1-transfected LM cells with the Slc7a5 inhibitor BCH (2-amino-bicyclo[2,2,1]heptane-2-carboxylic acid), or the mTOR inhibitor rapamycin (Figure 4). Untreated cells exhibited hallmarks of active mTORC1 (Figure 4B), in contrast to rapamycin treatment which strongly inhibited basal mTORC1 signaling. This was most obvious as suppression of phospho-S6 (p-S6), but also apparent in reduced levels of phospho-mTOR, and the appearance of lower molecular weight forms (likely due to dephosphorylation) of 4-EBP1 (Figure 4B). However, after rapamycin treatment, electrophysiological features of Slc7a5 modulation of Kv1.1 remained prominent (Figure 4C). There was no alteration of baseline Kv1.1 current levels, and prominent relief of inhibition of Kv1.1 was observed (Figure 4C, increased currents between the 1st and last pulses of a −120 mV train). In LM or ShR4-1 cells, pharmacological suppression (by BCH) or shRNA knockdown of Slc7a5 did not influence p-S6 abundance or other markers of mTORC1 signaling (Figure 4—figure supplement 1A). However, even though Slc7a5 knockdown clearly attenuates Kv1.1 modulation (Figure 3), Slc7a5-mediated gating effects were resistant to pharmacological inhibition by BCH (Figure 4C). Lastly, BCH or rapamycin did not influence the voltage-dependence of activation of Kv1.1 (Figure 4—figure supplement 1B–D).

Figure 4. Slc7a5-mediated inhibition of Kv1.1 is resistant to suppression of the Slc7a5-mTORC1 signaling axis.

(A) Schematic model depicting distinct possibilities for Slc7a5 modulation of Kv1 channels via (a) direct interaction or (b) indirect effects arising from amino acid activation of mTOR. (B) Western blot detection of markers of mTOR activation, including total mTOR, phospho-mTOR, total S6, phospho-S6, total 4EBP, in parental LM or ShR4-1 cells treated with 10 µM rapamycin (Rapa) and/or Slc7a5 overexpression, as indicated. β-tubulin was used as a loading control. (C) Cell by cell current density before and after a −120 mV pulse train (30 s) is illustrated for Kv1.1 channels ± Slc7a5 (LM cells) treated with 1 mM BCH, or 10 µM rapamycin as indicated. (D) Emission spectra were collected from LM cells transfected with indicated combinations of Kv1.1-nanoluc, EGFP-Kv1.1, EGFP-Slc7a5, or EGFP-Slc7a6. (E) EGFP spectra (nanoluc-subtracted) were measured for the indicated EGFP-tagged acceptors co-expressed with Kv1.1-nanoluc. (F) Area under the curve (AUC) for each BRET acceptor in (E) was normalized to the positive control AUC (Kv1.1-nanoluc + EGFP-Kv1.1).

Figure 4—source data 1. Rapamycin and BCH effects on Slc7a5 modulation of Kv1.1.
elife-54916-fig4-data1.xlsx (115.2KB, xlsx)

Figure 4.

Figure 4—figure supplement 1. Slc7a5 or mTORC1 inhibition does not influence voltage-dependent gating of Kv1.1.

Figure 4—figure supplement 1.

(A) Western blot detection of markers of mTOR activation, including total mTOR, phospho-mTOR, total S6, phospho-S6, total 4EBP, in parental LM or ShR4-1 cells treated with 1 mM BCH and/or Slc7a5 overexpression, as indicated. β-tubulin was used as a loading control. (B) Exemplar records illustrating voltage-dependent activation of Kv1.1 + 1 mM BCH or 10 µM rapamycin. (C) Conductance-voltage relationships plots for Kv1.1 (parental LM) with 1 mM BCH (left), or 10 µM rapamycin (right) as indicated. Fit parameters were as follows: WT Kv1.1, V1/2 = -36.8 ± 1.2 mV; k = 5.6 ± 0.2 mV; n = 19; for Kv1.1 + BCH (3–6 hr), V1/2 = -39.5 ± 0.7 mV; k = 5.7 ± 0.4 mV; n = 20; Kv1.1 + (BCH 12–16 hr), V1/2 = -33.9 ± 0.9 mV; k = 7.2 ± 1.6 mV; n = 7; Kv1.1+ Slc7a5 + BCH (12–16 hr), V1/2 = -37.4 ± 2.3 mV; k = 8.0 ± 1.3 mV; n = 8; Kv1.1 + Rapamycin (3–6 hr), V1/2 = -36.9 ± 1.5 mV; k = 6.6 ± 0.5 mV; n = 20; Kv1.1 + Rapamycin (12–16 hr), V1/2 = -40.7 ± 1.2 mV; k = 7.9 ± 1.5 mV; n = 6; Kv1.1 + Slc7a5 + Rapamycin (12–16 hr): V1/2 = -37.6 ± 1.4 mV; k = 6.9 ± 1.4 mV; n = 7; (D) V1/2 of individual cells from data in panel C. V1/2 of untreated Kv1.1 is highlighted with a dotted line for reference.

Investigation of Slc7a5 modulation of Kv channels was originally prompted by mass spectrometry identification of proteins in proximity to Kv1.2, and we previously demonstrated proximity of heterologously expressed Kv1.2 and Slc7a5 using a BRET assay (Baronas et al., 2018). We also detect a BRET signal between heterologously expressed Kv1.1 and Slc7a5 (Figure 4D–F). Since Kv1.1 can assemble as a homotetramer, co-expression of Kv1.1-nanoluc (bioluminescent donor) with EGFP-Kv1.1 (acceptor) generates an emission with a peak wavelength of 510–520 nm, consistent with excitation of the EGFP tag by nanoluc. Although not as large as the EGFP-Kv1.1-positive control, EGFP-Slc7a5 also generated a consistent BRET signal when co-expressed with Kv1.1-nanoluc. In contrast, the closely related transporter Slc7a6 did not generate a discernible BRET signal (Figure 4F).

Taken together, Figure 4 illustrates that Slc7a5 is likely in close proximity to Kv1.1, and that amino acid transport or mTORC1 activation downstream of Slc7a5 are not required for modulation of Kv1 channels. It should be noted that we have not consistently observed co-immunoprecipitation of Kv1.1 and Slc7a5, suggesting that the association is detergent sensitive or may involve additional unknown proteins. Also, we have not explicitly ruled out involvement of mTORC2, and there are variable outcomes of mTORC2 inhibition by rapamycin in different cell types (Sarbassov et al., 2006). However, mTORC1 is considered to be the primary amino-acid-responsive mTOR complex that would be expected to be modulated by Slc7a5 (Saxton and Sabatini, 2017).

Slc7a5-mediated inhibition is distinct from C-type inactivation

Slc7a5-mediated inhibition of Kv1.1 and Kv1.2 traps channels in a non-conducting state and can be relieved by supraphysiological hyperpolarizing voltages (Figures 24). We previously demonstrated that mutations that enhance susceptibility to C-type inactivation in Kv1.2 could alter Slc7a5 modulation (Baronas et al., 2018; Lamothe and Kurata, 2020), although the detailed molecular mechanism of Slc7a5-mediated inhibition has remained unclear. We investigated the relationship between C-type inactivation and Slc7a5-mediated inhibition of Kv1.1. In ShR4-1 cells transfected with Kv1.1, currents exhibit very slow inactivation, and Slc7a5 has no consistent effect on the extent of inactivation observed during 5 s depolarizing pulses (+40 mV, Figure 5A,B). Building on previous experiments demonstrating that Kv1.1 modulation persists in the presence of the Slc7a5 inhibitor BCH (Figure 4), we also tested a transport-deficient Slc7a5[F252A] mutant (Singh and Ecker, 2018), which also has no consistent effect on Kv1.1 inactivation (Figure 5A,B). In Kv1.2, prominent acceleration of inactivation by Slc7a5 was apparent in Kv1.2[V381T] mutant channels, equivalent to Shaker position T449, which influences susceptibility to C-type inactivation in Shaker (López-Barneo et al., 1993) and Kv1.2 (Goodchild et al., 2012). We tested inactivation of the analogous mutation Kv1.1[Y379T] with Slc7a5 and Slc7a5[F252A] (Figure 5—figure supplement 1), and observed that Slc7a5 and Slc7a5[F252A] enhance the rate of inactivation, although this effect exhibited significant cell-to-cell variability (Figure 5—figure supplement 1C). We suspect this variation arises from variable expression of Slc7a5, although there may also be other regulatory factors that influence the response of Kv1.1 to Slc7a5. The absence of effects of Slc7a5 on inactivation of WT Kv1.1 suggests that accelerated C-type inactivation does not underlie Slc7a5-mediated inhibition. However, the effects of the Kv1.1[Y379T] mutation suggest that there may be some interplay between C-type inactivation and Slc7a5-mediated inhibition. It is also noteworthy that effects of Slc7a5 on the inactivation rate (and the V1/2 of activation of Kv1.2 as reported in Baronas et al., 2018) remain intact even after relieving Slc7a5-mediated inhibition of currents. We interpret this to indicate that strong hyperpolarizing stimuli allow channels to recover from an inhibited state, but do not ‘break apart’ the complex that underlies Slc7a5 modulation.

Figure 5. Slc7a5 does not accelerate WT Kv1.1 inactivation.

(A) WT Kv1.1 channels were expressed in mouse LM cells with Slc7a5 or Slc7a5[F252A], as indicated. Exemplar current traces illustrate inactivation elicited by depolarization to 40 mV for 5 s (−80 mV holding potential). Prior to this long depolarization, currents have been disinhibited with a −120 mV holding voltage, as described in Figure 2. (B) Cell-by-cell inactivation of WT Kv1.1±Slc7a5 and Slc7a5[F252A]. Current amplitude after 5 s was normalized to peak current (% of peak) on a cell-by-cell basis. No statistical difference was detected in the % residual current between all three groups.

Figure 5—source data 1. Modulation of Kv1.1 inactivation by Slc7a5.

Figure 5.

Figure 5—figure supplement 1. Slc7a5 enhances inactivation of Kv1.1[Y379T] channels.

Figure 5—figure supplement 1.

(A) Kv1.1[Y379T] channels were expressed in mouse LM fibroblasts with Slc7a5 or Slc7a5[F252A], as indicated. Exemplar traces illustrate currents elicited by depolarization to +40 mV from a holding potential of −100 mV. Prior to this experiment, currents have been disinhibited with a holding voltage of −120 mV, as described in Figure 2. (B) Mean time constant of inactivation for Kv1.1±Slc7a5 or Slc7a5[F252A], over a range of voltages (+10 mV, +40 mV and +70 mV). (C) Time constants of inactivation of Kv1.1 at +40 mV ±Slc7a5 or Slc7a5[F252A] (Kv1.1 τ = 960 ± 50 ms, n = 17; Kv1.1 + Slc7a5 τ = 460 ± 60 ms, n = 19, Kv1.1 + Slc7a5[F252A] τ = 586 ± 23 ms). Inactivation time constants were compared with a Kruskal-Wallis followed by Dunn’s post-hoc tests (* indicates p<0.001 relative to Kv1.1[Y379T]).

To further explore the mechanism of Slc7a5 inhibition of Kv1.1, we compared recovery from Slc7a5-mediated inhibition versus inactivation (Figure 6). Exemplar currents (Figure 6A, left) illustrate recovery from Slc7a5-mediated inhibition in a sequence of three depolarizations to +10 mV: point ‘a’ shortly after whole cell break-in, point ‘b’ after 30 s holding at −80 mV, and point ‘c’ after 30 s holding at −120 mV. In the absence of Slc7a5, Kv1.1 channels exhibit large currents at point ‘a’. As there is very little initial Slc7a5-mediated inhibition, very little relief is observed at holding voltages of either −80 mV or −120 mV. However, co-expression of Slc7a5 or Slc7a5[F252A] strongly suppressed initial currents (Figure 6A, left). A holding voltage of −80 mV did not effectively rescue this inhibition, but a holding voltage of −120 mV prominently recovered currents (summarized cell-by-cell in Figure 6B). These data recapitulate the relief of inhibition effect described in Figures 2 and 3, but further illustrate the requirement for repolarization to −120 mV.

Figure 6. Distinct recovery from Slc7a5 inhibition versus inactivation of Kv1.1.

(A) Exemplar patch clamp recordings of Kv1.1 and Slc7a5 combinations as indicated, in ShR4-1 cells. Left panel illustrates recovery from Slc7a5 inhibition. Currents were recorded at 10 mV after break-in, after 30 s at −80 mV holding voltage, and after 30 s at −120 mV. Right panel illustrates recovery from inactivation (measured after the recovery from Slc7a5 inhibition shown in the left panel). Cells were depolarized to 40 mV for 5 s, held at a −80 mV recovery potential (25 s) followed by a 2nd pulse to 40 mV. (B) Cell-by-cell changes in current density (at +10 mV) in response to recovery from Slc7a5 (depicted in panel A, left). Currents were measured where indicated by a, b, c, in panel A (Kv1.1, n = 11; Kv1.1 + Slc7a5, n = 11; Kv1.1 + Slc7a5[F252A], n = 17). (C) Cell-by-cell changes in peak current density in response to recovery from inactivation (depicted in panel A, right). Currents were measured where indicated by d, e, in panel A (Kv1.1, n = 14; Kv1.1 + Slc7a5, n = 15; Kv1.1 + Slc7a5[F252A], n = 17). (D) Percentage of peak current achieved during the −80 mV disinhibition protocol (calculated as b/c in panel A) versus the −80 mV recovery from inactivation protocol (calculated as e/d). See Figure supplement for additional details on Kv1.1[Y379T].

Figure 6—source data 1. Distinct voltage-dependence of recovery from inactivation versus Slc7a5-mediated inhibition.

Figure 6.

Figure 6—figure supplement 1. Distinct recovery from Slc7a5 inhibition versus inactivation of Kv1.1[Y379T].

Figure 6—figure supplement 1.

(A) Exemplar patch clamp traces of Kv1.1[Y379T] and Slc7a5 combinations as indicated, expressed in ShR4-1 cells. Traces depict recovery from inactivation by delivering a 40 mV pulse for 5 s, a −80 mV recovery potential for 25 s, followed by a 2nd pulse to 40 mV. (B) Cell-by-cell changes in current density (at +10 mV) in response to recovery from Slc7a5 (depicted in panel A, left). Currents were measured where indicated by a, b, c, in Figure 6, panel A (Kv1.1[Y379T], n = 14; Kv1.1[Y379T] + Slc7a5, n = 10; Kv1.1[Y379T] + Slc7a5[F252A], n = 12). (C) Cell-by-cell changes in peak current density in response to recovery from inactivation (depicted in panel A, right). Currents were measured where indicated by d, e, in Figure 6, panel A (Kv1.1[Y379T], n = 16; Kv1.1[Y379T] + Slc7a5, n = 15; Kv1.1[Y379T] + Slc7a5[F252A], n = 17).

Following hyperpolarizations to relieve Slc7a5-mediated inhibition, channels were inactivated with 5 s pulses to +40 mV, and held at −80 mV to recover from inactivation (exemplar currents in Figure 6A, right panels). In all conditions, Kv1.1 recovers from inactivation with a holding voltage of −80 mV, as currents measured at point ‘e’ are comparable to point ‘d’ (Figure 6C). This finding suggests that Slc7a5-induced inhibition is not equivalent to C-type inactivation, because different voltages are required for recovery from these different conditions. To test this more stringently, we carried out similar experiments using Kv1.1[Y379T] (Figure 6—figure supplement 1). Although Kv1.1[Y379T] exhibits far more prominent inactivation than WT Kv1.1, a similar outcome was observed. Strong hyperpolarization to −120 mV was required to rescue currents from Slc7a5 inhibition after break-in (Figure 6—figure supplement 1B). However, once this inhibition was relieved, channels could recover from nearly complete inactivation with a holding potential of −80 mV (Figure 6—figure supplement 1A,C). The disparity in the voltage-dependence of recovery from inactivation versus Slc7a5-mediated inhibition is summarized in Figure 6D, highlighting that nearly complete recovery from C-type inactivation (solid symbols, ratio of points e/d) is observed with a holding voltage of −80 mV, whereas this voltage does not recover Slc7a5-mediated inhibition (open symbols, ratio of points b/c). These findings indicate that Slc7a5-mediated inhibition stabilizes channels by a mechanism distinct from C-type inactivation. Nevertheless, there appears to be some interaction between these processes because Slc7a5 can influence the inactivation rate in channel mutants that are prone to C-type inactivation (Figure 5—figure supplement 1Baronas et al., 2018).

Slc7a5 sensitivity is controlled by the voltage-sensing domain

Our findings illustrate that Kv1.1 is sensitive to endogenous levels of Slc7a5, but does not exhibit a prominent gating shift. In contrast, Kv1.2 requires higher expression of Slc7a5 to observe an effect (i.e. it is less sensitive to Slc7a5), but it exhibits a ‘signature’ −50 mV shift of voltage-dependent activation. Additionally, we have reported that Kv1.5 exhibits no hallmarks of Slc7a5 modulation (i.e. no voltage shift or disinhibition; Baronas et al., 2018). We used these differences to investigate structural determinants of Slc7a5 sensitivity. Our first approach involved chimeras of Kv1.2 and Kv1.1 (Figure 7). For each chimera, Slc7a5 effects on current magnitude before and after a −120 mV holding voltage is illustrated in Figure 7A, and effects on voltage-dependent gating are presented in Figure 7B–E. The N-terminus, S1, and S2 segments of Kv1.2 can be replaced with Kv1.1 sequence, while still preserving a large Slc7a5-mediated shift in voltage-dependent gating (Figure 7A–D). Further replacement of the S3 and S4 segments (and a small portion of the pore) in the Kv1.1S5/Kv1.2 chimera led to a significant switch toward a Kv1.1-like phenotype (Figure 7A,E), with a minimal Slc7a5-mediated gating shift and prominent current enhancement, even in the absence of transfected Slc7a5.

Figure 7. Chimeric analysis of Kv1.1 and Kv1.2 sensitivity to Slc7a5-mediated disinhibition and shifts of voltage-dependent activation.

(A) Cartoons illustrate chimeric channel design, in which increasing segments of Kv1.1 (white) were introduced into Kv1.2 (grey), beginning with the N-terminus. Current disinhibition by a hyperpolarizing train to −120 mV was assessed as described in Figure 2, in the presence or absence of Slc7a5. (B–E) Conductance-voltage relationships were measured for all chimeric channels, in the presence and absence of Slc7a5. Gating parameters (+Slc7a5 in parentheses) for Kv1.1N/Kv1.2 were: V1/2 = -8.7 ± 2 mV (−61 ± 3 mV); k = 7 ± 1 mV (8.3 ± 0.5 mV); for Kv1.1S1/Kv1.2: V1/2 = -21.5 ± 0.7 mV (−42 ± 6 mV); k = 7.1 ± 0.2 mV (9 ± 1 mV), for Kv1.1S2/Kv1.2: V1/2 = -30.1 ± 0.4 mV (−53 ± 8 mV); k = 7.4 ± 0.2 mV (8.2 ± 0.4 mV), and for Kv1.1S5/Kv1.2: V1/2 = −25 ± 2 mV (−30 ± 2 mV); k = 7.4 ± 0.3 mV (7.2 ± 0.3 mV). Prominent shifts in voltage-dependent gating were observed in all chimeras except the Kv1.1S5/Kv1.2, comprising primarily the transmembrane domains of Kv1.1.

Figure 7—source data 1. Voltage sensor modulation of Slc7a5 sensitivity of Kv1.1 and Kv1.2.

Figure 7.

Figure 7—figure supplement 1. Slc7a5-mediated gating shift is preserved in I257 or S3-S4 linker mutants of Kv1.2.

Figure 7—figure supplement 1.

(A–C) Conductance-voltage relationships of WT Kv1.2 (A), Kv1.2(1.1-S3/S4) (residues 274–288 of the S3-S4 linker replaced with corresponding sequence from Kv1.1)(B), and Kv1.2[I257F] (C), with Slc7a5 as indicated. Data were collected using the voltage protocol described in Figure 1. Exemplar traces for each construct in the presence (black) or absence of Slc7a5 (green) are included above each graph 20 mV increments are shown voltage step to −20 mV is bolded in black. Gating parameters were (+ Slc7a5 in parentheses): for Kv1.2, V1/2 = -9.9 ± 2.7 mV (−50.6 ± 4.0 mV); k = 9.4 ± 2.2 mV (9.5 ± 1.8 mV); for Kv1.2(1.1-S3/S4), V1/2 = -10.9 ± 3 mV (−47.8 ± 2.6 mV); k = 8.7 ± 2.5 mV (7.4 ± 1.6 mV); for Kv1.2[I257F], V1/2 = -10.8 ± 3.2 mV (−61.1 ± 3.0 mV); k = 8.0 ± 2.0 mV (7.4 ± 1.0 mV).
Figure 7—figure supplement 2. The voltage-sensing domain influences Slc7a5 sensitivity and response.

Figure 7—figure supplement 2.

(A,C) Top: Chimera design is shown with the voltage-sensing domains of Kv1.1 (white) and Kv1.2 (grey) switched as indicated. Gating parameters for the resulting chimeras were (+Slc7a5 in parentheses), for Kv1.1(Kv1.2VSD): V1/2 = -19.7 ± 2 mV (−62 ± 2 mV); k = 7.5 ± 0.5 mV (7.7 ± 0.9 mV); for Kv1.2(Kv1.1VSD): V1/2 = −37 ± 2 mV (−53 ± 3 mV); k = 5.5 ± 0.4 mV (7.6 ± 0.9 mV). (B,D) Disinhibition of both chimeras was measured in the presence and absence of Slc7a5, in response to a −120 mV hyperpolarizing train, as described in Figure 2. Current densities pre- and post-train were compared using a paired t-test (* indicates p<0.05). Fold disinhibition of Kv1.1(Kv1.2VSD) was 1 ± 0.1 (n = 9, no statistical difference), and with Slc7a5 was 8 ± 3 (n = 7, p=0.034). Fold disinhibition of Kv1.2(Kv1.1VSD) was 4.1 ± 0.8 (n = 6, p=0.0005), and with Slc7a5 was 4.3 ± 0.9 (n = 11, p=0.0003).

We also tested more subtle chimeric replacements of segments of the Kv1.2 voltage sensor to potentially map these effects more precisely. The only sequence differences between the Kv1.1S2/Kv1.2 and the Kv1.1S5/Kv1.2 chimeras were in the S3-S4 linker, and residue I257 in S4. We replaced the S3-S4 linker of Kv1.2 with the corresponding sequence from Kv1.1 (Kv1.2(1.1-S3/S4)), and also tested the I257F mutation. However, neither of these chimeras/mutants caused Kv1.2 to switch to a Kv1.1-like response (Figure 7—figure supplement 1A–C). These findings suggest that sequence differences in isolated segments of the voltage sensor do not account for the different functional effects of Slc7a5 on Kv1.1 vs. Kv1.2.

VSD chimeras swap prominent features of Slc7a5 sensitivity

We also swapped the entire S1-S4 segments of Kv1.1 and Kv1.2 (Figure 7—figure supplement 2). Introduction of the voltage-sensing domain of Kv1.2 into Kv1.1 (Kv1.2VSD/Kv1.1) transferred characteristic features of Kv1.2 modulation by Slc7a5. These chimeric channels exhibited a prominent Slc7a5-dependent shift in voltage-dependent gating, and current disinhibition, comparable to Kv1.2 (Figure 7—figure supplement 2A,B). In addition, these features of Slc7a5 modulation were absent when the Kv1.2VSD/Kv1.1 chimera was expressed alone (Figure 7—figure supplement 2A,B). The complimentary chimera with the voltage-sensing domain of Kv1.1 transplanted into Kv1.2 (Kv1.1VSD/Kv1.2) did not have such clear cut effects, but altered the Slc7a5 sensitivity of Kv1.2 (Figure 7—figure supplement 2C,D). The Kv1.1VSD/Kv1.2 chimera exhibited prominent disinhibition of current even in the absence of Slc7a5, and an attenuated shift in voltage dependence of activation when co-expressed with Slc7a5 (Figure 7—figure supplement 2C,D). Overall, although these findings illustrate the importance of the VSD, they reinforce our finding (Figure 7—figure supplement 1) that this approach does not reveal a clear structural determinant of the different Slc7a5 responses of Kv1.1 and Kv1.2. This may be an inherent shortcoming of this chimeric approach, as both Kv1.1 and Kv1.2 are sensitive to Slc7a5.

Precise mapping of determinants of Slc7a5 sensitivity

In order to more clearly pinpoint regions of the VSD involved in Slc7a5 sensitivity, we used a chimeric strategy with Kv1.2 and Kv1.5. We believe this was a more useful approach because Kv1.5 is not sensitive to Slc7a5. The initial chimeric design is illustrated in Figure 8—figure supplement 1A. Although Slc7a5-mediated gating shifts were sometimes variable, we observed that channels became clearly resistant to Slc7a5-mediated gating shifts after the S1-S2 transmembrane helices of Kv1.2 were replaced with the sequence from Kv1.5 (Figure 8—figure supplement 1B).

We generated additional chimeric channels in which small segments of the S1-S2 region of Kv1.2 were replaced with corresponding segments of Kv1.5. We generated conductance-voltage relationships for each of these chimeric channels (Figure 8—figure supplement 2A–D). Swapping the S1-S2 linker, S2 segment, or S2-S3 linker, had no consistent effect on the Slc7a5-mediated shift of Kv1.2 gating. In contrast, replacing the S1 transmembrane segment of Kv1.2 with Kv1.5 sequence strongly attenuated the Slc7a5-mediated gating shift (Figure 8—figure supplement 2E).

Point mutations in S1 influence Slc7a5 sensitivity

We extended these chimeric analyses with point mutants based on five amino acid differences in S1 of Kv1.2 and Kv1.5 (Figure 8A). Conductance-voltage relationships for each mutant (Figure 8C–G) and a summary of V1/2 of activation (Figure 8B) reveal that most point mutants did not weaken Slc7a5-mediated effects. However, the Kv1.2[I164A] mutation near the intracellular boundary of S1 prominently attenuated the Slc7a5-mediated gating shift. (Figure 8B–G). This highlights a single amino acid position that strongly influences Slc7a5 sensitivity of Kv1 channels.

Figure 8. Amino acid residue I164 influences Kv1.2 sensitivity to Slc7a5 modulation.

(A) Top, amino acid sequence comparison of the S1 domain between Kv1.2 and Kv1.5. Different amino acid residues between the two channels are highlighted in green. Bottom, Schematic model (side view) of the Kv1.2 channel with dissimilar amino acids from Kv1.5 highlighted in green. (B) Voltage at half activation (V1/2) plots of individual cells of Kv1.2 point mutants in the S1 domain substituted with the corresponding amino acid in Kv1.5. The Kv1.2 point mutants were recorded and analyzed in the presence or absence of Slc7a5. (C–G) Conductance-voltage relationships of the Kv1.2 point mutants were measured in the presence or absence of Slc7a5. Fit parameters were (mean ± S.D., Slc7a5 in parentheses): P161S, V1/2 = -12.6 ± 3.0 mV (−55.7 ± 4.4 mV), k = 8.7 ± 1.4 mV (10 ± 2.5 mV); I164A, V1/2 = -14.4 ± 2.1 mV (−16.9 ± 1.2 mV), k = 8.4 ± 1.3 mV (11.0 ± 3.9 mV); M171L, V1/2 = -8.6 ± 2.1 mV (−49.5 ± 3.7 mV), k = 8.7 ± 1.4 mV (10.8 ± 1.2 mV); V178I, V1/2 = -8.9 ± 2.3 mV (−52.8 ± 7.2 mV), k = 8.8 ± 1.8 mV (9.2 ± 2.6 mV); S179T, V1/2 = -11.9 ± 2.0 mV (−52.5 ± 4.4 mV), k = 7.8 ± 0.5 mV (−11.9 ± 0.2 mV).

Figure 8—source data 1. Voltage sensor modulation of Slc7a5 sensitivity of Kv1.2 and Kv1.5.

Figure 8.

Figure 8—figure supplement 1. Chimeric analysis of Kv1.5 and Kv1.2 sensitivity to Slc7a5-mediated shifts of voltage-dependent activation.

Figure 8—figure supplement 1.

(A) Cartoons illustrate chimeric channel design, with segments of Kv1.5 (grey) introduced into Kv1.2 (white), beginning with the C-terminus. (B) Voltage at half activation (V1/2) of individual cells, for all chimeric channels, in the presence and absence of Slc7a5 (channel:Slc7a5 ratio; 1:0.5).
Figure 8—figure supplement 2. Kv1.2 sensitivity to Slc7a5 is localized to the S1 transmembrane segment.

Figure 8—figure supplement 2.

(A–D) Conductance-voltage relationships of Kv1.2 chimeras with the S1 segment (A), S1-S2 linker (B), S2 segment (C), and S2-S3 linker of Kv1.5. Chimeras were transfected in the absence or presence of Slc7a5 (channel:slc7a5 ratio; 1:0.5). (E) Voltage at half activation (V1/2) of individual cells for all chimeric channels, in the presence and absence of Slc7a5. G/V relationships and V1/2 measurements were obtained using the voltage protocol described in Figure 1. Fit parameters were (mean ± S.D., Slc7a5 in parentheses): Kv1.2[Kv1.5 S1], V1/2 = -10.2 ± 4.1 mV (−17.8 ± 3.1 mV), k = 8.3 ± 1.8 mV (10.3 ± 1.5 mV); Kv1.2[Kv1.5 S1-2L], V1/2 = -3.2 ± 5.9 mV (−52.5 ± 2.8 mV), k = 10.9 ± 2.4 mV (9.2 ± 1.1 mV); Kv1.2[Kv1.5 S2], V1/2 = -7.8 ± 2.6 mV (−38.0 ± 15.7 mV), k = 9.7 ± 1.7 mV (14.7 ± 3.9 mV); Kv1.2[Kv1.5 S2-3L], V1/2 = −9.6 ± 2.7 mV (−47 ± 11 mV), k = 8.0 ± 1.7 mV (9.8 ± 2.5 mV).

We investigated whether a role for this position would extend/generalize to Slc7a5-mediated inhibition of Kv1.1. We mutated the equivalent V168 position in Kv1.1 to I or A (from Kv1.2 or Kv1.5, respectively, Figure 9A), and tested for hallmarks of Slc7a5 modulation (Figure 9B). Recordings in parental LM cells (with Slc7a5 modulation intact) illustrate that Kv1.1[V168I] (gray symbols) retains Slc7a5 sensitivity, as these channels exhibited suppressed currents upon break-in (‘1st pulse’), along with prominent enhancement after holding at −120 mV (‘last’ pulse). In contrast, Kv1.1[V168A] (green) exhibited large basal currents and comparably little current enhancement, suggesting weaker sensitivity to Slc7a5 (Figure 9B, summarized in lower panel). In ShR4-1 cells, larger currents and negligible disinhibition were observed in all cases (Figure 9B), further emphasizing that Slc7a5 strongly influences the outcome observed for Kv1.1[V168] mutations. An alternative visualization of these data (Figure 9C,D) illustrates cell-by-cell the relationship between baseline currents (i.e. 1st pulse immediately after break-in) and disinhibition of current arising from a −120 mV holding potential. In LM cells (Figure 9C), WT or Kv1.1[V168I] currents are typically small immediately after break-in, but exhibit prominent recovery from Slc7a5-mediated inhibition (black and grey). In contrast, Kv1.1[V168A] (green) exhibits large currents and very modest disinhibition (illustrating weak inhibition by Slc7a5). In ShR4-1 cells (Figure 9D), effects of V168 mutations are blunted, illustrating that outcomes of V168 mutants are strongly influenced by the presence of Slc7a5, rather than effects on intrinsic channel function.

Figure 9. Altered Slc7a5 modulation of Kv1.1 V168 mutations.

Figure 9.

(A) Top, amino acid sequence comparison of S1 in Kv1.1, Kv1.2 and Kv1.5. Sequence variation at Kv1.1 position V168 is highlighted in green (I164 in Kv1.2, A251 in Kv1.5). Bottom, structural model of Kv1.2 channel highlighting amino acid position I164 (equivalent to Kv1.1 V168). (B) Cell-by-cell current density before and after a −120 mV pulse train of indicated channel mutants, in the parental LM cells or ShR4-1 cell line. Lower panel, fold disinhibition for Kv1.1 S1 mutant channels (fold disinhibition = last pulse/1st pulse) after a −120 mV pulse train. (C and D) Cell-by-cell correlation of baseline (1st pulse) current density and fold disinhibition after a −120 mV pulse train, for Kv1.1 mutants and cell lines as indicated.

Figure 9—source data 1. Altered Slc7a5 sensitivity in S1 mutant Kv1.1 channels.

Discussion

While the function of core α-subunits of Kv channels has been investigated in depth in the context of voltage-dependent gating, regulation of Kv channels by signaling pathways and regulatory proteins has been less widely studied. Our efforts to identify novel regulatory proteins of Kv channels revealed that Slc7a5, a widely studied amino acid transporter, exerts a powerful influence on gating and expression of Kv1.2 channels (Baronas et al., 2018; Lamothe and Kurata, 2020). Prominent effects of Slc7a5 include suppression of channel expression, a −50 mV shift of voltage-dependent activation, and marked suppression of current that can be relieved/disinhibited by negative holding potentials. While powerful, the broader significance and underlying molecular mechanisms of these varied effects remain unclear. In this study, we have continued to investigate Slc7a5 regulation of Kv channels to address some of these lingering questions.

We previously demonstrated some Kv1 subtype specificity of Slc7a5 regulation, as Kv1.2 was prominently affected by Slc7a5, while Kv1.5 was not (Baronas et al., 2018). Further investigation of other subtypes revealed that Kv1.1 exhibits some of the Slc7a5-mediated hallmark gating features observed in Kv1.2, most notably, the prominent Slc7a5-mediated inhibition relieved by holding the membrane voltage at −120 mV. Surprisingly, this effect persists in the absence of heterologous expression of Slc7a5 (Figures 2 and 3). The influence of endogenous levels of Slc7a5 on Kv1.1 was confirmed using an shRNA knockdown approach, along with rescue by shRNA-resistant Slc7a5 cDNA (Figure 3). The inhibitory effect of Slc7a5 on Kv1.1 or Kv1.2 is observed immediately upon whole-cell break-in, with current amplitudes significantly reduced compared to expression of either channel alone. It should be noted that after holding at −120 mV, channels typically remain ‘disinhibited’ such that Kv1 current suppression by Slc7a5 does not re-occur during the recording in most cells. However, other features of Slc7a5 regulation (accelerated inactivation of Kv1.1[Y379T] and Kv1.2[V381T], hyperpolarizing shift of Kv1.2 channel activation) persist even after Slc7a5 inhibition has been relieved. We have not identified a method to accelerate development of the Slc7a5-inhibited state. The underlying mechanism is not yet clear, although the requirement of strong negative voltages (−120 mV) for disinhibition is interesting as it lies outside the voltage range where most gating charge of Kv1.2 channels is displaced (Goodchild et al., 2012). At this stage, we have not ruled out whether the strong negative voltages required to relieve Slc7a5-mediated inhibition are related to voltage-dependent conformational changes of the channel, transporter, or both. Interestingly, Kv1.2’LT’ (I304L and S308T) mutant channels, with altered coupling between the VSD and the pore, prevent the Slc7a5-mediated inhibition effect but retain sensitivity to the Slc7a5-mediated gating shift in Kv1.2 (Baronas et al., 2018). Based on these effects, we hypothesize that Slc7a5-mediated inhibition involves the pore domain (and can also trigger C-type inactivation in channels that are susceptible), which is influenced by coupling to Slc7a5 interactions in the VSD.

We have taken steps to determine whether the Slc7a5-mediated effects on Kv1.1 are due to a direct interaction with the channel, or some indirect effect related to Slc7a5 function. Slc7a5 can indirectly influence mTOR activity (primarily mTORC1), due to activation of mTORC1 by amino acids like leucine (Nicklin et al., 2009; Saxton et al., 2016; Wolfson et al., 2016). Also, mTOR signaling has been shown to modulate Kv1.1 translation in dendrites, although this mechanism is unlikely to be involved here, as it was shown to rely on UTR elements that are not present in our Kv1.1 cDNA (Niere and Raab-Graham, 2017; Raab-Graham et al., 2006). We used a variety of approaches, including pharmacological inhibition of Slc7a5 (BCH) and mTORC1 (rapamycin) (Figure 4), but found no effect on Kv1.1 regulation by Slc7a5. The transport deficient Slc7a5[F252A] mutant also suppressed Kv1.1, although we occasionally observed more prominent recovery of current at −80 mV in Slc7a5[F252A] versus WT Slc7a5 effects in these experiments (Figure 5—figure supplement 1, Figure 6). Based on recent cryo-EM structures, F252 is located in TM6 of Slc7a5, in very close proximity to the substrate-binding site. Mutations of F252 or other critical sites might influence the conformations achieved by the transporter, and alter its influence on the channel, but this will require further investigation. At present, we have not determined whether there is reciprocal modulation of Slc7a5 function by Kv channels. However, this possibility will continue to be explored, as certain combinations of Kv7 channels and myo-inositol transporters exhibit mutual regulation, along with other channel:transporter combinations (Abbott et al., 2014; Lebowitz et al., 2019; Manville et al., 2017; Neverisky and Abbott, 2017).

Slc7a5 is expressed in a wide variety of cell types and undergoes prominent changes in certain physiological or pathological conditions. For example, T cell activation and proliferation requires prominent upregulation of Slc7a5, leading to protein abundance orders of magnitude larger than Kv channel expression (Marchingo et al., 2020; Sinclair et al., 2013). Slc7a5 upregulation has also been reported in a variety of tumor types (Barollo et al., 2016), and Slc7a5 inhibition attenuates proliferation of cells (Salisbury and Arthur, 2018). In most instances, the role of Slc7a5 is considered in the context of providing nutrients for cell growth and division, and also activation of mTOR signaling. However, changes in ion channel activity and cellular excitability are also linked to cell division and proliferation in normal development and cancer or other pathologies (Huang and Jan, 2014; Pardo and Stühmer, 2014; Satou et al., 2020; Serrano-Novillo et al., 2019; Yang et al., 2012). The cellular signals that control ion channel activity and expression during cell growth and division remain unestablished. We will continue to investigate how Slc7a5 or other related proteins may link cellular metabolism with electrical activity, growth, and proliferation. Recent work has also suggested that the inhibitory effect of Slc7a5 on Kv1.1 and Kv1.2 may enhance excitability in neuropathic pain (Alles et al., 2020). Gene expression (mousebrain.org) of Slc7a5 overlaps with Kv1.1/1.2 in the NF1-3 subclass of DRG neurons and INH2 subclass of spinal cord neurons, each with varying degrees of expression between cell types. Therefore, excitability in certain cell types in the nervous system may be influenced by Slc7a5-mediated regulation of Kv1 channels, and altered during pain and inflammation. Overall, differential sensitivity, expression, and assembly of Kv1 isoforms and Slc7a5 may fine tune the interplay between channel and transporter. However, physiological modulation of Kv1 channels by Slc7a5 is still under investigation.

Auxiliary subunits can interact with voltage-gated ion channels in a variety of ways. The canonical auxiliary subunits of the Kv1 channel family are the Kvβ subunits, which are soluble proteins that interact with a cytoplasmic scaffolding domain that is structurally distinct from the Kv1 transmembrane domains (Gulbis et al., 2000; Long et al., 2005). However, there is great diversity amongst known modulators of other Kv channels, including several transmembrane proteins. BK channels can be modulated simultaneously by both the BKβ and BKγ subunits, which are thought to associate with the pore-forming subunits via transmembrane domains (Gonzalez-Perez et al., 2015; Gonzalez-Perez and Lingle, 2019; Yan and Aldrich, 2012, Yan and Aldrich, 2010). Similarly, the widely studied KCNE subunits are transmembrane proteins that have been proposed to integrate into clefts between neighboring voltage-sensing domains to modulate channel function (Murray et al., 2016; Wang et al., 2012; Xu et al., 2013). Another Kv channel with prominent regulation of channel gating by multiple classes of regulatory proteins is the Kv4 family, which is sensitive to both KChIP (a soluble cytoplasmic protein) and DPP-like proteins (transmembrane), leading to modulation of channel expression and gating (Jerng et al., 2005; Kitazawa et al., 2015; Zagha et al., 2005). Although we have not yet collected direct evidence of an interaction between Slc7a5 and Kv1.1 or Kv1.2, our findings indicate that Slc7a5 sensitivity is encoded by the voltage-sensing domains of these channels, and is significantly weakened by mutations in the S1 segment. While we suspect this is a site of interaction, Slc7a5 may also influence these channels via an intermediary, or through other nearby regions of the channel that interact allosterically with mutations in S1. Our previous studies have demonstrated co-regulation of Kv1.2 by Slc7a5 and Kvβ subunits (Baronas et al., 2018; Lamothe and Kurata, 2020), indicating the possibility that Kv1 channels might assemble with multiple accessory subunits simultaneously (similar to the putative Kv4 complex with KChIP and DPP-like proteins). It is also noteworthy that we have previously identified powerful regulation of Kv1.2 gating by extracellular redox conditions, by a mechanism that is not intrinsic to the Kv1.2 α-subunit (Baronas et al., 2017). This effect is vastly different from Slc7a5 modulation, indicating an additional regulatory mechanism, and a recent study has suggested a possible role for the sigma opioid receptor (Abraham et al., 2019). Thus, there are likely multiple unrecognized regulatory mechanisms that can strongly influence Kv1 channel gating, but it remains unclear how these pathways may interact in cell lines or native tissues.

In summary, our study highlights that Slc7a5 influences multiple targets in the Kv1 family, including Kv1.1 and Kv1.2. Moreover, we map Slc7a5 sensitivity to the voltage-sensing domain of Kv1 channels, highlighting a specific residue in the S1 segment rather than a cytoplasmic signal. We are hopeful that ongoing investigation of Kv channel regulatory proteins will broaden our understanding of voltage-gated channel function and regulation in vivo.

Materials and methods

Key resources table.

Reagent type
(species) or resource
Designation Source or reference Identifiers Additional
information
Cell line
(Mus musculus)
LM(tk-) cells ATCC CCL-1.3 Fibroblast cells
(Male)
Cell line (Homo-sapiens) Human Embryonic Kidney 293T (HEK 293T) cells ATCC CRL-3216
Chemical compound, drug jetPrime Polyplus transfection reagent
Gene GFP Addgene 54705
Gene mCherry Addgene 30125
Gene (Rattus norvegicus) Kv1.2 Lab clone Accession:
NM_012970.3
Gene (Homo sapiens) Kv1.5 Lab clone Accession:
NM_002234.4
Gene (Homo sapiens) Kv1.1 Lab clone Accession:
NM_000217.3
Gene eGFP Addgene 54759
Gene (Homo sapiens) Slc7a5 DNASU Accession:
NM_003486.7
Gene (Homo sapiens) Slc7a6 DNASU Accession:
NM_001076785.3
Recombinant DNA reagent pcDNA3.1(-) Invitrogen
Recombinant DNA reagent pcDNA3.1(-)-ccdB-Nanoluc Addgene 87067
Strain (Escherichia-coli) DH5-α Prepared in lab
Antibody anti-Slc7a5 (rabbit polyclonal) Trans Genic Inc KE026 1:1000 dilution
Antibody HRP-conjugated (goat anti-rabbit) Applied Biological Materials SH012 1:15,000 dilution
Antibody Anti-β actin (mouse monoclonal) GeneTex Cat #: GTX629630 1:2000 dilution
Antibody HRP-conjugated
(goat anti-mouse)
Applied Biological Materials SH023 1:20,000 dilution
Antibody β-tubulin CST Ref: #86298, D3U1W
Antibody Mouse IgG CST Ref: #5470 DyLight 680-conjugated
Antibody Rabbit IgG CST Ref: #5151 DyLight 800-conjugated
Antibody mTOR CST Ref: #4517, L27D4
Antibody mTOR (phosphor-Ser2448) CST Ref: #5536
Antibody S6 CST Ref: #2317, 54D2
Antibody S6 (phosphor-Ser240/244) CST Ref: #5364, D68F8
Antibody 4-EBP1 CST Ref: #9644, 53H11
Reagent SuperSignal West Femto Max Sensitivity Substrate Thermo Fisher Scientific 34095 Chemiluminescent detection reagent
Chemical compound, drug 2-Amino-bicyclo[2,2,1]heptane-2-carboxylic acid (BCH) Sigma Aldrich A7902-100MG
Chemical compound, drug Rapamycin Alfa Aesar, Fisher Scientific J62473-MF
Sequence-based reagent Slc7a5Taqman probe Thermo Fisher Cat #: (Mm00441516_m1)
Sequence-based reagent GAPDH Thermo Fisher Cat #:
(Mm99999915_g1)
Commercial assay, kit Taqman Fast Advance Master Mix Applied Biosystems 4444556
Commercial assay, kit Superscript IV
First-strand synthesis system
Invitrogen 18091050
Commercial assay, kit Nano-Glo live cell assay reagent Promega N1620
Chemical compound, drug Puromycin Gibco Ref #:
A11138-03
Chemical compound, drug Polybrene Sigma Aldrich TR-1003-G
Genetic reagent pLV-RNAi vector system Biosettia Cat #: Sort-B21

Cell culture and expression

Mouse LM(tk-) fibroblast cells (ATCC CCL-1.3), referred to throughout as LM cells, were used for patch clamp experiments, Western blots, qPCR, and BRET experiments. LM cells were purchased directly from ATCC and screened periodically (3–6 months) for mycoplasma contamination with commercial real time PCR kits. LM(tk-) fibroblasts are not listed on the ICLAC register of commonly misidentified cell lines. Cells were maintained in culture in a 5% CO2 incubator at 37°C in DMEM supplemented with 10% FBS and 1% penicillin/streptomycin. Cells were split into 12-well plates to achieve 70% confluence the subsequent day, then transfected with cDNA using jetPRIME transfection reagent (Polyplus). Fluorescent proteins were co-transfected to identify transfected cells for electrophysiological recording. In 12-well plates, cells were transfected with 400 ng of total DNA plasmid, with the amount of channel DNA plasmid held constant, and either GFP plasmid or mCherry-Slc7a5 (or mEGFP-Slc7a5) in order to maintain a constant amount of DNA in the transfection mixture. For electrophysiological recordings, cells were consistently transfected with 1:1 ratios of channel DNA to eGFP or mCherry-Slc7a5 (unless otherwise indicated). 6–10 hr after transfection, cells were split onto glass coverslips at low density for electrophysiological recordings from single cells the following day. Electrophysiological recordings were done 24–36 hr after transfection.

Stable shRNA-mediated knockdown cell lines were generated by puromycin selection after lentiviral infection of parental LM cells (see ‘Lentiviral vector construction and delivery’ for details)(Satou et al., 2020). Puromycin-resistant cells were plated in serial dilutions to isolate clonal cell lines. Knockdown cell lines were maintained in the same media as parental LM fibroblasts, along with 2.5 µg/mL puromycin to maintain shRNA expression.

Potassium channel constructs

Kv1 channel cDNAs (human Kv1.1, rat Kv1.2, human Kv1.5 and various chimeras) were expressed using the pcDNA3.1(-) vector (Invitrogen).

Kv1.1/Kv1.2 chimeras

Chimeric constructs of human Kv1.1 and rat Kv1.2 were generated using overlapping PCR approaches. N-terminal fragments of Kv1.1 were amplified by PCR using a 5’ flanking primer (Kv1.1Forward) and each of the following primers (1.1/1.2-S1; 1.1/1.2-S2; 1.1/1.2-S3; 1.1/1.2-Pore). Additional channel segments from Kv1.2 were amplified using the reverse complement of primers, and a 3’ flanking primer (Kv1.2-Reverse). Primer sequences are listed in an appendix (Supplementary file 1).

Resulting full length channel fragments were then cloned into pcDNA3.1(-) using EcoRI and HindIII restriction digests and ligation. This generated chimeric Kv1.1/Kv1.2 ion channels with break points at amino acid numbers, 147, 226, 256, 350 (Kv1.1 numbering, schematics of chimera design are shown in Figure 5A). Constructs were all verified by diagnostic restriction digestion and Sanger sequencing (Genewiz, Inc, or University of Alberta Applied Genomics Core).

Chimeric switching of voltage-sensing domains was accomplished using similar overlapping PCR approaches, with break points corresponding to amino acid numbers 147 and 350 (Kv1.1) or 145 and 352 (Kv1.2). To generate the Kv1.2(Kv1.1VSD) chimera we used a previously made Kv1.1/Kv1.2 chimera (breakpoint at Kv1.1 amino acid 350, labeled Kv1.1S6/Kv1.2 in Figure 6) and replaced the N terminus with sequence from Kv1.2 using the Kv1.2-Forward and Kv1.2 N-term Reverse primers (see Appendix).

Similarly, the Kv1.1(Kv1.2VSD) chimera was made by switching the pore and C-terminus of our previously made Kv1.1N/Kv1.2 chimera (Figure 6) with corresponding Kv1.1 sequence using the Kv1.1 Reverse and Kv1.1 Pore Forward primers (see Appendix, Supplementary file 1).

The Kv1.2(1.1-S3/S4) chimera (replacing the S3-S4 linker of Kv1.2 with corresponding sequence from Kv1.1) was generated by amplifying the 3’ side of Kv1.2(Kv1.1VSD) with the Kv1.2(1.1-S3/S4)-forward and Kv1.2-Reverse primers, and the 5’ side of Kv1.2 with the Kv1.2-Forward and Kv1.2(1.1-S3/S4)-reverse primers. This generated a chimera replacing Kv1.2 residues 274–288 with corresponding sequence from Kv1.1.

Kv1.2/Kv1.5 chimeras

Chimeras described in Figure 8—figure supplement 1 were constructed by amplifying segments of Kv1.5 using the Kv1.5-Reverse primer, and each of the following primers S1 chimera; S3 chimera; Pore chimera; C-terminal chimera. These were fused to Kv1.2 sequence using overlapping PCR, and cloned into pcDNA3.1(-) using NheI and HindIII.

Segments of the Kv1.5 S1 and S2 segments were amplified with the following primer sets (1.5S1F and 1.5S1R; 1.5S1S2F and 1.5S1S2R; 1.5S2F and 1.5S2R; 1.5S2S3F and 1.5S2S3R), and used to replace corresponding sequence in Kv1.2 by overlapping PCR. This generated chimeras that replace Kv1.2 sequence with Kv1.5 between amino acid positions (Kv1.2 numbering): 153–187 (S1 chimera); 187–217 (S1-S2L chimera); 217–242 (S2 chimera); 242–269 (S2-S3L chimera).

Point mutants

Point mutations in Kv1.1 and Kv1.2 were generated with overlapping PCR approaches using the following mutagenic primers and their reverse complement (Kv1.1[Y379T]; Kv1.1[V168I]; Kv1.1[V168A]; Kv1.2[P161S]; Kv1.2[I164A]; Kv1.2[M171L]; Kv1.2[V178I]; Kv1.2[S179T]; Kv1.2[I257F]).

Electrophysiology

Patch pipettes were manufactured from soda lime capillary glass (Fisher), using a Sutter P-97 puller (Sutter Instrument). When filled with standard recording solutions, pipettes had a tip resistance of 1–3 MΩ. Recordings were filtered at 5 kHz, sampled at 10 kHz, with manual capacitance compensation and series resistance compensation between 70 and 90%, and stored directly on a computer hard drive using Clampex 10 software (Molecular Devices). Bath solution had the following composition: 135 mM NaCl, 5 mM KCl, 1 mM CaCl2, 1 mM MgCl2, 10 mM HEPES, and was adjusted to pH 7.3 with NaOH. Pipette solution had the following composition: 135 mM KCl, 5 mM K-EGTA, 10 mM HEPES and was adjusted to pH 7.2 using KOH. Chemicals for electrophysiological solutions were purchased from Sigma-Aldrich or Fisher. BCH (Slc7a5 inhibitor 2-amino-bicyclo[2,2,1]heptane-2-carboxylic acid, Sigma-Aldrich) was stored as a 100 mM stock solution in 1N NaOH, and diluted to working concentrations each experimental day. Rapamycin (Alfa Aesar, Fisher Scientific) was stored as a 10 mM stock solution in DMSO and diluted to working concentrations each experimental day.

Lentiviral vector construction and delivery

We generated shRNAs targeting four segments of mouse Slc7a5 (refseq: NM_011404), with the ShR1, ShR2, ShR3, ShR4, and Negative control primers (see Appendix). Oligos were designed for hairpin formation and cloned into pLV-RNAi vector system (Biosettia, San Diego, USA. Cat#sort-B21) according to the manufacturer’s instructions, as previously described (Satou et al., 2020). All constructs were confirmed by Sanger sequencing (Applied Genomics Core, University of Alberta). HEK293T cells were co-transfected with packaging vectors (Provided in the pLV-RNAi vector system) and an shRNA expression vector. Lentivirus was harvested by centrifugation of HEK293T cell culture supernatant 48 hr after transfection. LM fibroblasts cells were seeded in six well plate at about 30% confluence the day before viral transduction. After 24 hr, media was replaced with fresh complete medium (DMEM with 10% FBS) containing 8 µg/mL polybrene and 0.5 mL of viral supernatant. After 24 hr of incubation, the virus-containing medium was replaced with fresh complete medium. After further incubation for 48 hr, puromycin (2.5 µg/mL) was added and maintained in culture for selection of transduced cells. For the generation of clonal shRNA-expressing cell lines, transduced cells were plated by serial dilution in 96 well plates, and wells with single cells were identified by visual inspection under a microscope. After expansion of individual clones, effectiveness of knockdown was assessed using Western blot and qPCR approaches.

Western blot

Detection of Slc7a5

Cell lysates from LM fibroblasts were harvested in NP-40 lysis buffer (1% NP-40, 150 mM NaCl, 50 mM Tris-HCl) with 1% protease inhibitor cocktail (Sigma, P8340), 3 days after transfection. Samples were separated on 8% SDS-PAGE gels, and transferred to nitrocellulose membranes using standard Western blot apparatus (Bio-rad). Running buffer composition was 190 mM Glycine, 25 mM Tris, 4 mM SDS. Transfer buffer composition was 20% methanol, 3.5 mM Na2CO3, 10 mM NaHCO3. Slc7a5 was detected using a rabbit polyclonal Slc7a5 antibody (1:500 dilution, KE026; Trans Genic Inc) and HRP-conjugated goat anti-rabbit antibody (1:15 000 dilution, SH012; Applied Biological Materials). Chemiluminescence was detected using SuperSignal West Femto Max Sensitivity Substrate (Thermo Fisher Scientific) and a FluorChem SP gel imager (Alpha Innotech).

Detection of phosphorylated and total mTOR, S6 and 4-EBP1

LM fibroblasts cells (parental LM or ShR4-1) were lysed for 2 hr at 4°C in NP-40 lysis buffer (1% NP-40, 150 mM NaCl, 50 mM Tris-HCl) with 1% protease inhibitor cocktail (Sigma, P8340) and 1% phosphatase inhibitor (Sigma, P5726). 18 μg of proteins were separated using 4–20% Mini-PROTEAN precast gel (BioRad). Subsequently, these proteins were transferred onto PVDF membranes (Millipore). The membrane was blocked by 5% skim milk dissolved with a wash buffer (Tris/HCl pH 7.5, 0.05% Tween-20) for 1 hr at room temperature. The membrane was incubated with the appropriate primary antibody (listed in the corresponding table) followed by the compatible Fluorescein-conjugated secondary antibody (listed in the corresponding table). Fluorescence was detected by the Odyssey Imaging System (LI-COR Biosciences).

Target Merchandiser Remarks
β-tubulin CST #86298, D3U1W
Mouse IgG CST #5470, DyLight 680-conjugated
Rabbit IgG CST #5151, DyLight 800-conjugated
mTOR CST #4517, L27D4
mTOR (phosho-Ser2448) CST #5536
S6 CST #2317, 54D2
S6 (phospho-Ser240/244) CST #5364, D68F8
4-EBP1 CST #9644, 53H11

Quantification of Slc7a5 mRNA expression using qPCR

Total cellular RNA was extracted from LM fibroblasts stably expressing shRNA constructs using an illustra RNAspin Mini kit (GE, UK). RNA concentration was assessed using a Nanodrop 2000c spectrophotometer (Thermo Scientific). Reverse transcription was performed using the SuperScript IV First-Strand Synthesis System (Invitrogen, USA), using Oligo(dT)20 primers to make cDNA. Real-time quantitative PCR was carried out with TaqMan Fast Advance Master Mix (Applied Biosystems, USA) in an ABI 7900HT Fast Real Time PCR System (Applied Biosystems). Taqman probes used were: Slc7a5 (cat: Mm00441516_m1), and GAPDH as an internal control gene (cat: Mm99999915_g1), obtained from Thermo Fisher. The cycling protocol used an initial denaturation at 95°C for 3 min; 40 cycles of denaturation at 95°C for 3 s, annealing at 60°C for 30 s. Data were analyzed using the 2-ΔΔCT method (Livak and Schmittgen, 2001) and expressed as Slc7a5 normalized to GAPDH.

Bioluminescence resonance energy transfer

Nanoluc was amplified from pcDNA3.1-ccdB-Nanoluc (a gift from Mikko Taipale, Addgene # 87067), and fused to the C-terminus of Kv1.1 in pcDNA3.1(-) using EcoRI and HindIII restriction sites. Using standard subcloning methods, WT Kv1.1, Slc7a5 and Slc7a6 cDNAs were tagged at the N-terminus with mEGFP. Mouse LM fibroblast cells were plated at 30% confluency in 12-well plates and then transiently transfected using jetPRIME the next day with cDNAs encoding BRET donors and acceptors. 48 hr after transfection, cells were replated onto white polystyrene 96-well plates (Thermo Fisher). After 24 hr, cells were washed with PBS, and incubated with Nano-Glo live cell assay reagent (Promega). Emission spectra were measured between 400 and 700 nm in 2 or 5 nm increments, and measured for 2 s at each interval with a Synergy H4 Hybrid Reader (BioTek). All Spectral data were normalized to the peak nanoluc emission, and subtraction of the normalized Kv1.1-nanoluc spectrum (measured as a blank control) produced the EGFP emission. The area under the curve (AUC) for the integrated EGFP emissions of Slc7a5 and Slc7a6 were normalized to the integrated EGFP emission from Kv1.1 nanoluc + EGFP-Kv1.1 in each experiment.

Data analysis

Wherever possible, we have displayed data for all individual data points collected, in addition to reporting mean ±S.D. or a box plot (where shown, box plots depict the median, 25th and 75th percentile (box), and 10th and 90th percentile (whiskers)). Conductance-voltage relationships were fit with a Boltzmann equation (Equation 1), where G is the normalized conductance, V is the applied voltage, V1/2 is the half activation voltage,and k is a fitted slope factor reflecting the steepness of the curve.

G=1/(1+e(vv1/2)/k) (1)

Conductance-voltage relationships were fit for each individual cell, and the extracted fit parameters were used for statistical calculations. Statistical tests are described in corresponding figure legends throughout the manuscript.

Data files containing numerical data for each figure and their supplements have been associated with the article, along with a list of primer sequences (Figure 1—source data 1, Figure 2—source data 1, Figure 3—source data 1, Figure 4—source data 1, Figure 5—source data 1, Figure 6—source data 1, Figure 7—source data 1, Figure 8—source data 1, Figure 9—source data 1, Supplementary file 1).

Acknowledgements

This work was funded by a Canadian Institutes of Health Research Project Grant to HTK. SML was supported by a Dr. Rowland and Muriel Haryett Neuroscience Fellowship, University of Alberta Neuroscience and Mental Health Institute. VAB was supported by a Canadian Institutes of Health Research Vanier award. GS was supported by a Natural Sciences and Engineering Research Council USRA award. During early stages of this project, HTK was supported by a Canadian Institutes of Health Research Early Career Investigator award and salary support from the Alberta Diabetes Institute.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Harley T Kurata, Email: kurata@ualberta.ca.

Kenton J Swartz, National Institute of Neurological Disorders and Stroke, National Institutes of Health, United States.

Baron Chanda, Washington University in St. Louis, United States.

Funding Information

This paper was supported by the following grants:

  • Canadian Institutes of Health Research Project Grant to Harley T Kurata.

  • Canadian Institutes of Health Research Vanier Studentship to Victoria A Baronas.

  • University of Alberta Rowland and Muriel Haryett fellowship to Shawn M Lamothe.

  • Natural Sciences and Engineering Research Council of Canada USRA to Grace Silver.

  • Canadian Institutes of Health Research Early Career Investigator to Harley T Kurata.

  • Alberta Diabetes Institute Salary support to Harley T Kurata.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Formal analysis, Funding acquisition, Investigation, Writing - review and editing.

Conceptualization, Investigation, Writing - review and editing.

Investigation, Writing - review and editing.

Resources, Investigation, Methodology, Writing - review and editing.

Investigation, Methodology, Writing - review and editing.

Resources, Supervision, Investigation, Methodology, Writing - review and editing.

Conceptualization, Investigation, Writing - review and editing.

Conceptualization, Data curation, Formal analysis, Supervision, Funding acquisition, Investigation, Visualization, Methodology, Writing - original draft, Project administration, Writing - review and editing.

Additional files

Supplementary file 1. List of primers.
elife-54916-supp1.docx (10.1KB, docx)
Transparent reporting form

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for all figures.

References

  1. Abbott GW, Tai KK, Neverisky DL, Hansler A, Hu Z, Roepke TK, Lerner DJ, Chen Q, Liu L, Zupan B, Toth M, Haynes R, Huang X, Demirbas D, Buccafusca R, Gross SS, Kanda VA, Berry GT. KCNQ1, KCNE2, and na+-coupled solute transporters form reciprocally regulating complexes that affect neuronal excitability. Science Signaling. 2014;7:ra22. doi: 10.1126/scisignal.2005025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Abraham MJ, Fleming KL, Raymond S, Wong AYC, Bergeron R. The sigma-1 receptor behaves as an atypical auxiliary subunit to modulate the functional characteristics of Kv1.2 channels expressed in HEK293 cells. Physiological Reports. 2019;7:e14147. doi: 10.14814/phy2.14147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Al-Sabi A, Kaza SK, Dolly JO, Wang J. Pharmacological characteristics of Kv1.1- and Kv1.2-containing channels are influenced by the stoichiometry and positioning of their α subunits. Biochemical Journal. 2013;454:101–108. doi: 10.1042/BJ20130297. [DOI] [PubMed] [Google Scholar]
  4. Alles SRA, Gomez K, Moutal A, Khanna R. Putative roles of SLC7A5 (LAT1) transporter in pain. Neurobiology of Pain. 2020;8:100050. doi: 10.1016/j.ynpai.2020.100050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Barollo S, Bertazza L, Watutantrige-Fernando S, Censi S, Cavedon E, Galuppini F, Pennelli G, Fassina A, Citton M, Rubin B, Pezzani R, Benna C, Opocher G, Iacobone M, Mian C. Overexpression of L-Type amino acid transporter 1 (LAT1) and 2 (LAT2): Novel markers of neuroendocrine tumors. PLOS ONE. 2016;11:e0156044. doi: 10.1371/journal.pone.0156044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Baronas VA, McGuinness BR, Brigidi GS, Gomm Kolisko RN, Vilin YY, Kim RY, Lynn FC, Bamji SX, Yang R, Kurata HT. Use-dependent activation of neuronal Kv1.2 channel complexes. Journal of Neuroscience. 2015;35:3515–3524. doi: 10.1523/JNEUROSCI.4518-13.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Baronas VA, Yang R, Vilin YY, Kurata HT. Determinants of frequency-dependent regulation of Kv1.2-containing potassium channels. Channels. 2016;10:158–166. doi: 10.1080/19336950.2015.1120390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Baronas VA, Yang RY, Kurata HT. Extracellular redox sensitivity of Kv1.2 potassium channels. Scientific Reports. 2017;7:9142. doi: 10.1038/s41598-017-08718-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Baronas VA, Yang RY, Morales LC, Sipione S, Kurata HT. Slc7a5 regulates Kv1.2 channels and modifies functional outcomes of epilepsy-linked channel mutations. Nature Communications. 2018;9:4417. doi: 10.1038/s41467-018-06859-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Bezanilla F. The action potential: from voltage-gated conductances to molecular structures. Biological Research. 2006;39:425–435. doi: 10.4067/S0716-97602006000300005. [DOI] [PubMed] [Google Scholar]
  11. Bezanilla F. How membrane proteins sense voltage. Nature Reviews Molecular Cell Biology. 2008;9:323–332. doi: 10.1038/nrm2376. [DOI] [PubMed] [Google Scholar]
  12. Coleman SK, Newcombe J, Pryke J, Dolly JO. Subunit composition of Kv1 channels in human CNS. Journal of Neurochemistry. 1999;73:849–858. doi: 10.1046/j.1471-4159.1999.0730849.x. [DOI] [PubMed] [Google Scholar]
  13. Dickens D, Chiduza GN, Wright GSA, Pirmohamed M, Antonyuk SV, Hasnain SS. Modulation of LAT1 (SLC7A5) transporter activity and stability by membrane cholesterol. Scientific Reports. 2017;7:43580. doi: 10.1038/srep43580. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. EuroEPINOMICS RES consortium. Syrbe S, Hedrich UBS, Riesch E, Djémié T, Müller S, Møller RS, Maher B, Hernandez-Hernandez L, Synofzik M, Caglayan HS, Arslan M, Serratosa JM, Nothnagel M, May P, Krause R, Löffler H, Detert K, Dorn T, Vogt H, Krämer G, Schöls L, Mullis PE, Linnankivi T, Lehesjoki AE, Sterbova K, Craiu DC, Hoffman-Zacharska D, Korff CM, Weber YG, Steinlin M, Gallati S, Bertsche A, Bernhard MK, Merkenschlager A, Kiess W, Gonzalez M, Züchner S, Palotie A, Suls A, De Jonghe P, Helbig I, Biskup S, Wolff M, Maljevic S, Schüle R, Sisodiya SM, Weckhuysen S, Lerche H, Lemke JR. De novo loss- or gain-of-function mutations in KCNA2 cause epileptic encephalopathy. Nature Genetics. 2015;47:393–399. doi: 10.1038/ng.3239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Gonzalez-Perez V, Xia XM, Lingle CJ. Two classes of regulatory subunits coassemble in the same BK channel and independently regulate gating. Nature Communications. 2015;6:8341. doi: 10.1038/ncomms9341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Gonzalez-Perez V, Lingle CJ. Regulation of BK channels by beta and gamma subunits. Annual Review of Physiology. 2019;81:113–137. doi: 10.1146/annurev-physiol-022516-034038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Goodchild SJ, Xu H, Es-Salah-Lamoureux Z, Ahern CA, Fedida D. Basis for allosteric open-state stabilization of voltage-gated potassium channels by intracellular cations. Journal of General Physiology. 2012;140:495–511. doi: 10.1085/jgp.201210823. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Gulbis JM, Zhou M, Mann S, MacKinnon R. Structure of the cytoplasmic beta subunit-T1 assembly of voltage-dependent K+ channels. Science. 2000;289:123–127. doi: 10.1126/science.289.5476.123. [DOI] [PubMed] [Google Scholar]
  19. Gutman GA, Chandy KG, Grissmer S, Lazdunski M, McKinnon D, Pardo LA, Robertson GA, Rudy B, Sanguinetti MC, Stühmer W, Wang X. International union of pharmacology LIII nomenclature and molecular relationships of voltage-gated potassium channels. Pharmacological Reviews. 2005;57:473–508. doi: 10.1124/pr.57.4.10. [DOI] [PubMed] [Google Scholar]
  20. Huang X, Jan LY. Targeting potassium channels in Cancer. Journal of Cell Biology. 2014;206:151–162. doi: 10.1083/jcb.201404136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Jacobi E, von Engelhardt J. AMPA receptor complex constituents: control of receptor assembly, membrane trafficking and subcellular localization. Molecular and Cellular Neuroscience. 2018;91:67–75. doi: 10.1016/j.mcn.2018.05.008. [DOI] [PubMed] [Google Scholar]
  22. Jerng HH, Kunjilwar K, Pfaffinger PJ. Multiprotein assembly of Kv4.2, KChIP3 and DPP10 produces ternary channel complexes with ISA-like properties. The Journal of Physiology. 2005;568:767–788. doi: 10.1113/jphysiol.2005.087858. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Kanai Y, Segawa H, Miyamoto K, Uchino H, Takeda E, Endou H. Expression cloning and characterization of a transporter for large neutral amino acids activated by the heavy chain of 4f2 antigen (CD98) Journal of Biological Chemistry. 1998;273:23629–23632. doi: 10.1074/jbc.273.37.23629. [DOI] [PubMed] [Google Scholar]
  24. Katada T, Sakurai H. Xenopus slc7a5 is essential for notochord function and eye development. Mechanisms of Development. 2019;155:48–59. doi: 10.1016/j.mod.2019.01.001. [DOI] [PubMed] [Google Scholar]
  25. Kitazawa M, Kubo Y, Nakajo K. Kv4.2 and accessory dipeptidyl peptidase-like protein 10 (DPP10) subunit preferentially form a 4:2 (Kv4.2:DPP10) channel complex. Journal of Biological Chemistry. 2015;290:22724–22733. doi: 10.1074/jbc.M115.646794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Lamothe SM, Kurata HT. Slc7a5 alters Kvβ-mediated regulation of Kv1.2. Journal of General Physiology. 2020;152:e201912524. doi: 10.1085/jgp.201912524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Lebowitz JJ, Pino JA, Mackie PM, Lin M, Hurst C, Divita K, Collins AT, Koutzoumis DN, Torres GE, Khoshbouei H. Clustered Kv2.1 decreases dopamine transporter activity and internalization. Journal of Biological Chemistry. 2019;294:6957–6971. doi: 10.1074/jbc.RA119.007441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Lee Y, Wiriyasermkul P, Jin C, Quan L, Ohgaki R, Okuda S, Kusakizako T, Nishizawa T, Oda K, Ishitani R, Yokoyama T, Nakane T, Shirouzu M, Endou H, Nagamori S, Kanai Y, Nureki O. Cryo-EM structure of the human L-type amino acid transporter 1 in complex with glycoprotein CD98hc. Nature Structural & Molecular Biology. 2019;26:510–517. doi: 10.1038/s41594-019-0237-7. [DOI] [PubMed] [Google Scholar]
  29. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta delta C(T)) Method. Methods. 2001;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
  30. Long SB, Campbell EB, Mackinnon R. Crystal structure of a mammalian voltage-dependent shaker family K+ channel. Science. 2005;309:897–903. doi: 10.1126/science.1116269. [DOI] [PubMed] [Google Scholar]
  31. Long SB, Tao X, Campbell EB, MacKinnon R. Atomic structure of a voltage-dependent K+ channel in a lipid membrane-like environment. Nature. 2007;450:376–382. doi: 10.1038/nature06265. [DOI] [PubMed] [Google Scholar]
  32. López-Barneo J, Hoshi T, Heinemann SH, Aldrich RW. Effects of external cations and mutations in the pore region on C-type inactivation of shaker potassium channels. Receptors & Channels. 1993;1:61–71. [PubMed] [Google Scholar]
  33. Manganas LN, Trimmer JS. Subunit composition determines Kv1 potassium channel surface expression. Journal of Biological Chemistry. 2000;275:29685–29693. doi: 10.1074/jbc.M005010200. [DOI] [PubMed] [Google Scholar]
  34. Manville RW, Neverisky DL, Abbott GW. SMIT1 modifies KCNQ channel function and pharmacology by physical interaction with the pore. Biophysical Journal. 2017;113:613–626. doi: 10.1016/j.bpj.2017.06.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Marchingo JM, Sinclair LV, Howden AJ, Cantrell DA. Quantitative analysis of how myc controls T cell proteomes and metabolic pathways during T cell activation. eLife. 2020;9:e53725. doi: 10.7554/eLife.53725. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Masnada S, Hedrich UBS, Gardella E, Schubert J, Kaiwar C, Klee EW, Lanpher BC, Gavrilova RH, Synofzik M, Bast T, Gorman K, King MD, Allen NM, Conroy J, Ben Zeev B, Tzadok M, Korff C, Dubois F, Ramsey K, Narayanan V, Serratosa JM, Giraldez BG, Helbig I, Marsh E, O'Brien M, Bergqvist CA, Binelli A, Porter B, Zaeyen E, Horovitz DD, Wolff M, Marjanovic D, Caglayan HS, Arslan M, Pena SDJ, Sisodiya SM, Balestrini S, Syrbe S, Veggiotti P, Lemke JR, Møller RS, Lerche H, Rubboli G. Clinical spectrum and genotype-phenotype associations of KCNA2-related encephalopathies. Brain. 2017;140:2337–2354. doi: 10.1093/brain/awx184. [DOI] [PubMed] [Google Scholar]
  37. Matsuo H, Tsukada S, Nakata T, Chairoungdua A, Kim DK, Cha SH, Inatomi J, Yorifuji H, Fukuda J, Endou H, Kanai Y. Expression of a system L neutral amino acid transporter at the blood-brain barrier. NeuroReport. 2000;11:3507–3511. doi: 10.1097/00001756-200011090-00021. [DOI] [PubMed] [Google Scholar]
  38. Matthies D, Bae C, Toombes GE, Fox T, Bartesaghi A, Subramaniam S, Swartz KJ. Single-particle cryo-EM structure of a voltage-activated potassium channel in lipid nanodiscs. eLife. 2018;7:e37558. doi: 10.7554/eLife.37558. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Murray CI, Westhoff M, Eldstrom J, Thompson E, Emes R, Fedida D. Unnatural amino acid photo-crosslinking of the IKs channel complex demonstrates a KCNE1:kcnq1 stoichiometry of up to 4:4. eLife. 2016;5:e11815. doi: 10.7554/eLife.11815. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Neverisky DL, Abbott GW. KCNQ-SMIT complex formation facilitates ion channel-solute transporter cross talk. The FASEB Journal. 2017;31:2828–2838. doi: 10.1096/fj.201601334R. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Nicklin P, Bergman P, Zhang B, Triantafellow E, Wang H, Nyfeler B, Yang H, Hild M, Kung C, Wilson C, Myer VE, MacKeigan JP, Porter JA, Wang YK, Cantley LC, Finan PM, Murphy LO. Bidirectional transport of amino acids regulates mTOR and autophagy. Cell. 2009;136:521–534. doi: 10.1016/j.cell.2008.11.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Niere F, Raab-Graham KF. mTORC1 is a local, postsynaptic voltage sensor regulated by positive and negative feedback pathways. Frontiers in Cellular Neuroscience. 2017;11:152. doi: 10.3389/fncel.2017.00152. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Pardo LA, Stühmer W. The roles of K(+) channels in Cancer. Nature Reviews Cancer. 2014;14:39–48. doi: 10.1038/nrc3635. [DOI] [PubMed] [Google Scholar]
  44. Poncet N, Halley PA, Lipina C, Gierliński M, Dady A, Singer GA, Febrer M, Shi YB, Yamaguchi TP, Taylor PM, Storey KG. Wnt regulates amino acid transporter Slc7a5 and so constrains the integrated stress response in mouse embryos. EMBO Reports. 2020;21:e48469. doi: 10.15252/embr.201948469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Raab-Graham KF, Haddick PC, Jan YN, Jan LY. Activity- and mTOR-dependent suppression of Kv1.1 channel mRNA translation in dendrites. Science. 2006;314:144–148. doi: 10.1126/science.1131693. [DOI] [PubMed] [Google Scholar]
  46. Rezazadeh S, Kurata HT, Claydon TW, Kehl SJ, Fedida D. An activation gating switch in Kv1.2 is localized to a threonine residue in the S2-S3 linker. Biophysical Journal. 2007;93:4173–4186. doi: 10.1529/biophysj.107.116160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Salisbury T, Arthur S. The regulation and function of the L-Type amino acid transporter 1 (LAT1) in Cancer. International Journal of Molecular Sciences. 2018;19:2373. doi: 10.3390/ijms19082373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Sarbassov DD, Ali SM, Sengupta S, Sheen JH, Hsu PP, Bagley AF, Markhard AL, Sabatini DM. Prolonged rapamycin treatment inhibits mTORC2 assembly and akt/PKB. Molecular Cell. 2006;22:159–168. doi: 10.1016/j.molcel.2006.03.029. [DOI] [PubMed] [Google Scholar]
  49. Satou M, Wang J, Nakano-Tateno T, Teramachi M, Suzuki T, Hayashi K, Lamothe S, Hao Y, Kurata H, Sugimoto H, Chik C, Tateno T. L-type amino acid transporter 1, LAT1, in growth hormone-producing pituitary tumor cells. Molecular and Cellular Endocrinology. 2020;515:110868. doi: 10.1016/j.mce.2020.110868. [DOI] [PubMed] [Google Scholar]
  50. Saxton RA, Knockenhauer KE, Wolfson RL, Chantranupong L, Pacold ME, Wang T, Schwartz TU, Sabatini DM. Structural basis for leucine sensing by the Sestrin2-mTORC1 pathway. Science. 2016;351:53–58. doi: 10.1126/science.aad2087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Saxton RA, Sabatini DM. mTOR signaling in growth, metabolism, and disease. Cell. 2017;168:960–976. doi: 10.1016/j.cell.2017.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Serrano-Novillo C, Capera J, Colomer-Molera M, Condom E, Ferreres J, Felipe A. Implication of Voltage-Gated potassium channels in neoplastic cell proliferation. Cancers. 2019;11:287. doi: 10.3390/cancers11030287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Shamotienko OG, Parcej DN, Dolly JO. Subunit combinations defined for K+ channel Kv1 subtypes in synaptic membranes from bovine brain. Biochemistry. 1997;36:8195–8201. doi: 10.1021/bi970237g. [DOI] [PubMed] [Google Scholar]
  54. Sinclair LV, Rolf J, Emslie E, Shi Y-B, Taylor PM, Cantrell DA. Control of amino-acid transport by antigen receptors coordinates the metabolic reprogramming essential for T cell differentiation. Nature Immunology. 2013;14:500–508. doi: 10.1038/ni.2556. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Singh N, Ecker G. Insights into the structure, function, and ligand discovery of the large neutral amino acid transporter 1, LAT1. International Journal of Molecular Sciences. 2018;19:1278. doi: 10.3390/ijms19051278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Soares-da-Silva P, Serrão MP. High- and low-affinity transport of L-leucine and L-DOPA by the hetero amino acid exchangers LAT1 and LAT2 in LLC-PK1 renal cells. American Journal of Physiology. Renal Physiology. 2004;287:F252–F261. doi: 10.1152/ajprenal.00030.2004. [DOI] [PubMed] [Google Scholar]
  57. Tărlungeanu DC, Deliu E, Dotter CP, Kara M, Janiesch PC, Scalise M, Galluccio M, Tesulov M, Morelli E, Sonmez FM, Bilguvar K, Ohgaki R, Kanai Y, Johansen A, Esharif S, Ben-Omran T, Topcu M, Schlessinger A, Indiveri C, Duncan KE, Caglayan AO, Gunel M, Gleeson JG, Novarino G. Impaired amino acid transport at the blood brain barrier is a cause of autism spectrum disorder. Cell. 2016;167:1481–1494. doi: 10.1016/j.cell.2016.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Tempel BL, Jan YN, Jan LY. Cloning of a probable potassium channel gene from mouse brain. Nature. 1988;332:837–839. doi: 10.1038/332837a0. [DOI] [PubMed] [Google Scholar]
  59. Timpe LC, Schwarz TL, Tempel BL, Papazian DM, Jan YN, Jan LY. Expression of functional potassium channels from shaker cDNA in Xenopus oocytes. Nature. 1988;331:143–145. doi: 10.1038/331143a0. [DOI] [PubMed] [Google Scholar]
  60. Tomita S. Molecular constituents and localization of the ionotropic GABA receptor complex in vivo. Current Opinion in Neurobiology. 2019;57:81–86. doi: 10.1016/j.conb.2019.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Wang Y, Zhang M, Xu Y, Jiang M, Zankov DP, Cui M, Tseng GN. Probing the structural basis for differential KCNQ1 modulation by KCNE1 and KCNE2. Journal of General Physiology. 2012;140:653–669. doi: 10.1085/jgp.201210847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Wolfson RL, Chantranupong L, Saxton RA, Shen K, Scaria SM, Cantor JR, Sabatini DM. Sestrin2 is a leucine sensor for the mTORC1 pathway. Science. 2016;351:43–48. doi: 10.1126/science.aab2674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Xu Y, Wang Y, Meng XY, Zhang M, Jiang M, Cui M, Tseng GN. Building KCNQ1/KCNE1 channel models and probing their interactions by molecular-dynamics simulations. Biophysical Journal. 2013;105:2461–2473. doi: 10.1016/j.bpj.2013.09.058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Yan R, Zhao X, Lei J, Zhou Q. Structure of the human LAT1-4F2hc heteromeric amino acid transporter complex. Nature. 2019;568:127–130. doi: 10.1038/s41586-019-1011-z. [DOI] [PubMed] [Google Scholar]
  65. Yan J, Aldrich RW. LRRC26 auxiliary protein allows BK channel activation at resting voltage without calcium. Nature. 2010;466:513–516. doi: 10.1038/nature09162. [DOI] [PubMed] [Google Scholar]
  66. Yan J, Aldrich RW. BK potassium channel modulation by leucine-rich repeat-containing proteins. PNAS. 2012;109:7917–7922. doi: 10.1073/pnas.1205435109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Yang SB, Mclemore KD, Tasic B, Luo L, Jan YN, Jan LY. Kv1.1-dependent control of hippocampal neuron number as revealed by mosaic analysis with double markers. The Journal of Physiology. 2012;590:2645–2658. doi: 10.1113/jphysiol.2012.228486. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Yu FH, Yarov-Yarovoy V, Gutman GA, Catterall WA. Overview of molecular relationships in the voltage-gated ion channel superfamily. Pharmacological Reviews. 2005;57:387–395. doi: 10.1124/pr.57.4.13. [DOI] [PubMed] [Google Scholar]
  69. Zagha E, Ozaita A, Chang SY, Nadal MS, Lin U, Saganich MJ, McCormack T, Akinsanya KO, Qi SY, Rudy B. DPP10 modulates Kv4-mediated A-type potassium channels. Journal of Biological Chemistry. 2005;280:18853–18861. doi: 10.1074/jbc.M410613200. [DOI] [PubMed] [Google Scholar]

Decision letter

Editor: Baron Chanda1
Reviewed by: Baron Chanda2, Geoff Abbott3

In the interests of transparency, eLife publishes the most substantive revision requests and the accompanying author responses.

Acceptance summary:

Recent studies have shown that the activity of some families of voltage-sensing potassium channel is modulated by transporters, suggesting that they interact in hitherto unanticipated manner. This study by Lamothe et al. shows that the amino acid transporter Slc7a5 broadly modulates the activity of other potassium channel isoforms but the functional outcomes are different. These findings highlight the diversity of regulatory mechanisms and enable identification of crucial regions involved in mediating these novel interactions.

Decision letter after peer review:

Thank you for submitting your work entitled "Control of Slc7a5 sensitivity by the voltage-sensing domain of Kv1 channels" for consideration by eLife. Your article has been reviewed by three peer reviewers, including Baron Chanda as the Reviewing Editor and Reviewer #1, and the evaluation has been overseen by a Senior Editor. The following individual involved in review of your submission has agreed to reveal their identity: Geoff Abbott (Reviewer #2).

Our decision has been reached after consultation between the reviewers. Based on these discussions and the individual reviews below, we regret to inform you that your work will not be considered further for publication in eLife.

The study identifies a new target for regulation by SLC75a5 which has been previously shown to regulate Kv1.2. This study shows that this regulation extends to other Kv1 channels but in ways that are unexpectedly different. These studies provide new insights into a relatively new area of ion channel biology. From a mechanistic standpoint, the study also shows that the voltage-sensing domain is the key domain involved in mediating these disparate effects on channel function. Nonetheless, the consensus amongst reviewers is that the manuscript does not provide sufficient mechanistic insight to warrant further consideration in eLife. As you will see below, there are some differences in opinion as to what will be sufficient. I hope the reviewers' feedback will help you improve the manuscript. If you believe you will be able to address these concerns and would like to reach out to us with a planned resubmission, please do not hesitate to contact us in advance.

Reviewer #1:

The manuscript "Control of Slc7a5 sensitivity by the voltage sensing domain of Kv1 channels" by Sharmin et al., is an extension of the previous work from the same lab showing the effects of Slc7a5 co-expression on gating and expression of Kv1.2. In this manuscript the authors show that Slc7a5 can also regulate Kv1.1 with slightly different effects. Kv1.1 appears to be modulated by Slc7a5 even at the endogenous levels of expression. Furthermore, swapping the voltage sensing domains between Kv1.1 and Kv1.2 can also swap Slc7a5 sensitivity. The data presentation is transparent and the manuscript is well-written. However, this work would have been much more impactful if the authors had gone ahead and tried to identify the molecular mechanisms that contribute to differential sensitivity instead of limiting themselves to low-resolution domain level view. Given our understanding of the structure of Kv1 channel and the homology between the two isoforms, it seems this would be rather straightforward.

Some of the concerns I have regarding the manuscript are as follows:

1) Considering that kv1.1 is susceptible to endogenous levels of Slc7a5, could it be possible that the G-V curves shown in Figure 1 are already left shifted? Have the authors recorded the G-V curves from the endogenous Slc7a5 knock out cell line (shR41 used in Figure 4D and 4E)? If yes, do they see a shift in V1/2 when they rescue the cell line with human Slc7a5?

2) The authors should include in the discussion what could be the putative physiological importance of such differential sensitivity of two isoforms of Kv1. Along the same lines, have the authors tested the effects of Slc7a5 co-expression on the concatenated heterodimers of Kv1.1 and Kv1.2 that the authors have used in one of the previous manuscripts. This could be important considering the physiological existence of these isoforms potentially as heterodimers.

3) Do authors believe that 6 hours of rapamycin treatment would completely inhibit downstream mTOR signaling? Although mTORC1 activity is inhibited completely within 30 minutes of rapamycin exposure, mTORC2 inhibition would require longer incubation than 6 hours (multiple lines of evidence, for example Sarbassov et al., 2006). Have the authors done any experiments to show that the concentration used in the manuscript for 6 hours can inhibit mTOR signaling completely? If not, these details need to be mentioned in the discussion.

Reviewer #2:

The authors describe regulation of the Kv1.1 potassium channel by the sodium-coupled amino acid transporter, Slc7a5. This is a follow-up to their previous publication showing Slc7a5 regulation of Kv1.2. The main difference between the two is that Slc7a5 reduces Kv1.2 current density and negatively shifts its voltage dependence of activation; Slc7a5 does not alter Kv1.1 in this way but instead alters disinhibition from a presumed non-conducting state and speeds C-type inactivation of the hyper-inactivating Kv1.1-Y379T mutant. The voltage sensor appears to dictate which of these sets of effects occur, based on convincing chimera data. Overall this is interesting work that pushes forward the relatively new field of channel-transporter complexes.

Specific points.

1) Have the authors considered that rather than disinhibiting Kv1.1 and Kv1.2 from a non-conducting state, Slc7a5 has the opposite effect, and slows disinhibition from this state? In many of the examples they show, the channels reach an equivalent or greater peak current after the -120 mV pulses in the absence of Slc7a5 (either immediately or after a few pulses) versus in the presence. When Slc7a5 is co-expressed, the channel eventually achieves a similar current level, but it takes many more pulses. It appears more as if the transporter slows disinhibition of the channel and/or favors the equilibrium toward the inhibited state. The authors should demonstrate that they can distinguish between the two completely opposite conclusions.

2) Related to the point above, if the non-conducting state is actually a form of C-type inactivation, then slowed disinhibition (recovery) from inactivation with Slc7a5 would be consistent with the more rapid inactivation they observe for the mutant Kv1.1 channel when Slc7a5 is also present. The authors should try some inactivation recovery voltage protocols in which they vary the recovery pulse voltage and duration as this might provide answers or at least clues to points 1 and 2.

3) Still on the inactivation theme – does Slc7a5 alter the slower C-type inactivation that wild-type Kv1.1 undergoes with longer pulses? This is more important than the unnatural process shown with the Y379T mutant.

4) Some evidence of physical interaction would strengthen the manuscript.

Reviewer #3:

This research group had reported the regulation of Kv1.2 by Slc7a5. This manuscript reports the difference in the effects of Slc7a5 on the gating of Kv1.2 and Kv1.1 and found that the voltage sensor domain underlies the difference. However, this new study provides only some limited incremental insight on the mechanisms of Kv1 channel regulation by Slc7a5. The finding that the voltage sensor domain underlies the Kv1.1 and kv1.2 difference is new but without surprise. Importantly, the mechanisms on how Slc7a5 affects Kv channel gating via its impact on voltage sensor domain remains completely unknown.

1) Results section. The difference in disinhibition between Kv1.1 and Kv1.2 caused by Slc7a5 could be explained by the different effects on their inactivation. It is likely that Kv1.2 shows no inactivation in the absence of exogenous Slc7a5 co-expression while Kv1.1 undergoes partial inactivation even with endogenous Slc7a5 expression. Both Kv1.2 and Kv1.1 could be similarly inactivated with exogenous Slc7a5 expression. A comparison in inactivation rates and levels (i.e., portion of channels became inactivated) between Kv1.1 and Kv1.2 with endogenous Slc7a5 only and in the presence of exogenous Slc7a5 should be helpful to explain the difference in disinhibition which is essentially a recovery from the inactivated state at very negative membrane voltages.

2) Subsection “Inhibition of Slc7a5 transport function or signaling does not prevent Kv1 modulation”. Although inhibition of the Slc7a5 transporter activity and the downstream mTOR activity had little effect on Kv1.1 channel's sensitivity to Slc7a5, it remains unclear whether there are direct physical interactions involved. Particularly, how voltage sensor domain is involved in the Slc7a5's effects on Kv channel gating is completely unknown. It will be helpful if some biochemical experiments can be done to demonstrate physical interactions between Slc7a5 and kv1.1 or 1.2 voltage sensor domain. In addition, the amino acid sequences of voltage sensor domains between Kv1.1 and 1.2 are highly similar, it won't be difficult to identify amino acid residues involved for the 2 channels' difference in their sensitivities to Slc7a5.

[Editors’ note: further revisions were suggested prior to acceptance, as described below.]

Thank you for resubmitting your article "Control of Slc7a5 sensitivity by the voltage-sensing domain of Kv1 channels" for consideration by eLife. Your article has been reviewed by three peer reviewers, including Baron Chanda as the Reviewing Editor and Reviewer #1, and the evaluation has been overseen by Kenton Swartz as the Senior Editor. The following individuals involved in review of your submission have agreed to reveal their identity: Geoff Abbott (Reviewer #2).

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

We would like to draw your attention to changes in our revision policy that we have made in response to COVID-19 (https://elifesciences.org/articles/57162). Specifically, we are asking editors to accept without delay manuscripts, like yours, that they judge can stand as eLife papers without additional data, even if they feel that they would make the manuscript stronger. Thus the revisions requested below only address clarity and presentation.

Summary:

The manuscript "Control of Slc7a5 sensitivity by the voltage sensing domain of Kv1 channels" by Sharmin et al., is an extension of the previous work from the same lab showing the effects of Slc7a5 co-expression on gating and expression of Kv1.2. In this manuscript the authors show that Slc7a5 can also regulate Kv1.1 with slightly different effects. Kv1.1 appears to be modulated by Slc7a5 even at the endogenous levels of expression. Furthermore, swapping the voltage sensing domains between Kv1.1 and Kv1.2 can also swap Slc7a5 sensitivity. In the revised version, new data to differentiate between Slc7a5-induced inhibition and classic C-type inactivation was added. Furthermore, they have able to identify the residues that are responsible for the difference in Slc7a5's modulation of Kv1 channels' gating properties. The data clearly demonstrate that the voltage sensor domain (VSD) is relevant in the different effects of Slc7a5 on Kv1.1, 1.2 and 1.5 channels.

Revisions:

Some concerns remain.

1) It is helpful to provide some characterization or explanation of the Slc7a5-induced Kv1.1 and 1.2 channel inhibition which can be disinhibited by holding at -120 mV. How does the inhibition occur? It is not shown in the data what condition and how long needed for the inhibition to occur. After disinhibition by holding at a very negative voltage, it is unclear whether the channel can go back to the inhibited state.

2) It is possible that Slc7a5 may act on VSDs either directly via physical interactions or indirectly via another protein. However, the current data cannot rule out other possibilities, e.g., Slc7a5 may act on other parts of the channels which somehow allosterically magnifies or modifies the Kv1 channels' intrinsic voltage gating properties.

3) It is interesting that the F252A mutation on Slc7a5 exerted some effect on Kv1 gating. The observed interaction between inactivation and inhibition is also interesting. Some elaboration or thoughts on those could be helpful for readers.

eLife. 2020 Nov 9;9:e54916. doi: 10.7554/eLife.54916.sa2

Author response


[Editors’ note: The authors appealed the original decision. What follows is the authors’ response to the first round of review.]

Reviewer #1:

The manuscript "Control of Slc7a5 sensitivity by the voltage sensing domain of Kv1 channels" by Sharmin et al., is an extension of the previous work from the same lab showing the effects of Slc7a5 co-expression on gating and expression of Kv1.2. In this manuscript the authors show that Slc7a5 can also regulate Kv1.1 with slightly different effects. Kv1.1 appears to be modulated by Slc7a5 even at the endogenous levels of expression. Furthermore, swapping the voltage sensing domains between Kv1.1 and Kv1.2 can also swap Slc7a5 sensitivity. The data presentation is transparent and the manuscript is well-written. However, this work would have been much more impactful if the authors had gone ahead and tried to identify the molecular mechanisms that contribute to differential sensitivity instead of limiting themselves to low-resolution domain level view. Given our understanding of the structure of Kv1 channel and the homology between the two isoforms, it seems this would be rather straightforward.

Some of the concerns I have regarding the manuscript are as follows:

1) Considering that kv1.1 is susceptible to endogenous levels of Slc7a5, could it be possible that the G-V curves shown in Figure 1 are already left shifted? Have the authors recorded the G-V curves from the endogenous Slc7a5 knock out cell line (shR41 used in Figure 4D and 4E)? If yes, do they see a shift in V1/2 when they rescue the cell line with human Slc7a5?

This experiment is now included in the revised manuscript (Figure 3—figure supplement 2). The Kv1.1 voltage-dependence of activation is not affected by Slc7a5 overexpression or knockout in the shR4-1 cell line. This modulation of voltage-dependent activation is a clear difference between Kv1.2 and Kv1.1.

2) The authors should include in the discussion what could be the putative physiological importance of such differential sensitivity of two isoforms of Kv1. Along the same lines, have the authors tested the effects of Slc7a5 co-expression on the concatenated heterodimers of Kv1.1 and Kv1.2 that the authors have used in one of the previous manuscripts. This could be important considering the physiological existence of these isoforms potentially as heterodimers.

We have added a discussion of physiological systems where Slc7a5 modulation of Kv1 channels may arise (Discussion section). A few key points are that Slc7a5 is markedly upregulated in conditions of rapid cell growth and division (ie. tumors, T-cell activation and expansion), and may influence Kv1 channel function. A recent publication has also hypothesized a role for Slc7a5 in regulating neuronal excitability in pain and inflammation (Alles et al., 2020). The relative abundance of Kv1 subtypes with different Slc7a5 sensitivity may influence the outcome in these scenarios. These are a few potential scenarios, although a clear cut physiological system illustrating Slc7a5 modulation of Kv1 channels has not been established.

As requested we have added data from the Kv1.2-Kv1.1 tandem heterodimer described in: Baronas et al., 2015 in Figure 3—figure supplement 3. These heterodimeric channels exhibit shifted voltage-dependence of activation (but not as large as seen for Kv1.2 homomers), and attenuated Slc7a5-mediated inhibition compared to Kv1.1 homomers. We speculate that this difference is likely due to the stoichiometric requirements for these two functional outcomes.

3) Do authors believe that 6 hours of rapamycin treatment would completely inhibit downstream mTOR signaling? Although mTORC1 activity is inhibited completely within 30 minutes of rapamycin exposure, mTORC2 inhibition would require longer incubation than 6 hours (multiple lines of evidence, for example Sarbassov et al., 2006). Have the authors done any experiments to show that the concentration used in the manuscript for 6 hours can inhibit mTOR signaling completely? If not, these details need to be mentioned in the discussion.

Thank you for bringing this up, we have clarified this in the revised manuscript. Our primary aim was to investigate the possibility of a signal-mediated effect of Slc7a5 on Kv1.1. There is some consensus that mTORC1 is the primary amino acid responsive mTOR complex, so this was our primary concern (Saxton and Sabatini, 2017). We have expanded significantly on these considerations (together with some other reviewer suggestions) in the paper as follows:

In addition to rapamycin, we have now included data from a transport deficient Slc7a5[F252A] mutant, along with BCH (Slc7a5 transport inhibitor), which demonstrate that the transport function of Slc7a5 is not required for Kv1.1 modulation. These conditions recapitulate the gating effects of WT Slc7a5 on Kv1.1, suggesting that signals related to the transport function of Slc7a5 (amino acid uptake) are not essential for Kv1.1 modulation (see Figures 4, 5, 6 and accompanying supplements).

We also included western blot data demonstrating basal levels of mTORC1 activation based on phospho-S6, phospho-mTOR and 4-EBP1 detection, along with complete inhibition by rapamycin (Figure 4, and Figure 4—figure supplement 1).

We have also stated explicitly that the experiments do not absolutely rule out the involvement of mTORC2, however mTORC1 is the primary amino acid responsive mTOR complex.

Reviewer #2:

The authors describe regulation of the Kv1.1 potassium channel by the sodium-coupled amino acid transporter, Slc7a5. This is a follow-up to their previous publication showing Slc7a5 regulation of Kv1.2. The main difference between the two is that Slc7a5 reduces Kv1.2 current density and negatively shifts its voltage dependence of activation; Slc7a5 does not alter Kv1.1 in this way but instead alters disinhibition from a presumed non-conducting state and speeds C-type inactivation of the hyper-inactivating Kv1.1-Y379T mutant. The voltage sensor appears to dictate which of these sets of effects occur, based on convincing chimera data. Overall this is interesting work that pushes forward the relatively new field of channel-transporter complexes.

Specific points.

1) Have the authors considered that rather than disinhibiting Kv1.1 and Kv1.2 from a non-conducting state, Slc7a5 has the opposite effect, and slows disinhibition from this state? In many of the examples they show, the channels reach an equivalent or greater peak current after the -120 mV pulses in the absence of Slc7a5 (either immediately or after a few pulses) versus in the presence. When Slc7a5 is co-expressed, the channel eventually achieves a similar current level, but it takes many more pulses. It appears more as if the transporter slows disinhibition of the channel and/or favors the equilibrium toward the inhibited state. The authors should demonstrate that they can distinguish between the two completely opposite conclusions.

Thank you for requesting this clarification – we regret that we did not describe this aspect of our interpretation more clearly in the initial submission. We intended to convey that Slc7a5 has an inhibitory effect on Kv1.1 and Kv1.2 (causing very small initial currents after whole cell break in). This effect is then relieved by very negative holding voltages – this relief of inhibition is what we had referred to as “disinhibition”. Addition of more Slc7a5 makes this effect more prominent, (ie. Figure 2B, E, F, Figure 3E-G). This may reflect a higher stoichiometry of interaction of the channel with overexpressed Slc7a5 (i.e. occupancy of more subunits than with lower levels of endogenous Slc7a5).

We have attempted to clarify this throughout the text. For example, we switched to primarily referring to “relief of Slc7a5-mediated inhibition”. We feel this will help and is more descriptive of our observations. We have also more clearly described the effect and its voltage-dependence in our discussion of Figure 2, 3 and 6.

2) Related to the point above, if the non-conducting state is actually a form of C-type inactivation, then slowed disinhibition (recovery) from inactivation with Slc7a5 would be consistent with the more rapid inactivation they observe for the mutant Kv1.1 channel when Slc7a5 is also present. The authors should try some inactivation recovery voltage protocols in which they vary the recovery pulse voltage and duration as this might provide answers or at least clues to points 1 and 2.

This is an interesting aspect of this system. We have added significantly more detail, although we must admit that we do not yet understand completely. This information has been primarily added to Figures 5 and 6.

A clear outcome of our findings is that Slc7a5-mediated inhibition is distinct from C-type inactivation. In Figure 6 (and Figure 6—figure supplement 1), we demonstrate that relief of Slc7a5-mediated inhibition requires a strong hyperpolarization to -120 mV (hyperpolarization to -80 mV is not effective). In contrast, after channels have been rescued from Slc7a5 inhibition, they can undergo C-type inactivation, and recover readily from C-type inactivation with a holding voltage of -80 mV. This is shown in Figure 6, and more dramatically for the C-type enhanced Y379T mutant in Figure 6—figure supplement 1. This illustrates that Slc7a5-mediated inhibition is distinct from C-type inactivation, although the effects of Slc7a5 on in Kv1.1[Y379T] and Kv1.2[V381T] mutants suggest there may be some interplay between these processes.

3) Still on the inactivation theme – does Slc7a5 alter the slower C-type inactivation that wild-type Kv1.1 undergoes with longer pulses? This is more important than the unnatural process shown with the Y379T mutant.

We have reported the effects of Slc7a5 on inactivation of WT Kv1.1 in the revised manuscript. We do not observe a consistent change in the time course of C-type inactivation in WT Kv1.1, even though these channels exhibit strong inhibition by Slc7a5. This finding further supports our overall suggestion that Slc7a5-mediated inhibition is distinct from C-type inactivation. This is shown in Figure 5 of the revision (previous experiments on Kv1.1[Y379T] have been moved to Figure 5—figure supplement 1 and updated to include data from the Slc7a5[F252A] transport-deficient mutant).

4) Some evidence of physical interaction would strengthen the manuscript.

We agree and we have tried various approaches for co-immunoprecipitation with Slc7a5, but we have not been able to demonstrate this convincingly. In the revised manuscript, we have used a BRET approach to demonstrate proximity of Kv1.1 and Slc7a5 (similar to what we reported for Kv1.2 and Slc7a5 in Baronas et al., 2018). We have included this in the revision in Figure 4, although we have qualified our findings and clarified that this is not necessarily a demonstration of direct association.

We have also added considerable chimeric/mutational analysis of Slc7a5 sensitivity in this revision. Additional data in Figures 8 and 9 identify a particularly important position in S1 (Kv1.2 I164/ Kv1.1 V168). Again this does not demonstrate physical association but begins to reveal specific structural regions that influence susceptibility to Slc7a5-mediated modulation.

Reviewer #3:

This research group had reported the regulation of Kv1.2 by Slc7a5. This manuscript reports the difference in the effects of Slc7a5 on the gating of Kv1.2 and Kv1.1 and found that the voltage sensor domain underlies the difference. However, this new study provides only some limited incremental insight on the mechanisms of Kv1 channel regulation by Slc7a5. The finding that the voltage sensor domain underlies the Kv1.1 and kv1.2 difference is new but without surprise. Importantly, the mechanisms on how Slc7a5 affects Kv channel gating via its impact on voltage sensor domain remains completely unknown.

1) Results section. The difference in disinhibition between Kv1.1 and Kv1.2 caused by Slc7a5 could be explained by the different effects on their inactivation. It is likely that Kv1.2 shows no inactivation in the absence of exogenous Slc7a5 co-expression while Kv1.1 undergoes partial inactivation even with endogenous Slc7a5 expression. Both Kv1.2 and Kv1.1 could be similarly inactivated with exogenous Slc7a5 expression. A comparison in inactivation rates and levels (i.e., portion of channels became inactivated) between Kv1.1 and Kv1.2 with endogenous Slc7a5 only and in the presence of exogenous Slc7a5 should be helpful to explain the difference in disinhibition which is essentially a recovery from the inactivated state at very negative membrane voltages.

We agree this is an important question. As mentioned above, we have added experiments and clarified our writing to describe how Slc7a5-mediated inhibition is distinct from C-type inactivation. We report that WT Kv1.1 is clearly susceptible to Slc7a5-mediated inhibition, although there is not a consistent effect on inactivation (see Figure 5). We also demonstrate that relief of Slc7a5 inhibition vs. C-type inactivation occurs at very different holding voltages (see Figure 6, and Figure 6—figure supplement 1). Notably, even after nearly complete inactivation of Kv1.1[Y379T] channels (Figure 6—figure supplement 1), they recover readily with a holding voltage of -80 mV. This suggests that Slc7a5-mediated inhibition is distinct from C-type inactivation.

2) Subsection “Inhibition of Slc7a5 transport function or signaling does not prevent Kv1 modulation”. Although inhibition of the Slc7a5 transporter activity and the downstream mTOR activity had little effect on Kv1.1 channel's sensitivity to Slc7a5, it remains unclear whether there are direct physical interactions involved. Particularly, how voltage sensor domain is involved in the Slc7a5's effects on Kv channel gating is completely unknown. It will be helpful if some biochemical experiments can be done to demonstrate physical interactions between Slc7a5 and kv1.1 or 1.2 voltage sensor domain. In addition, the amino acid sequences of voltage sensor domains between Kv1.1 and 1.2 are highly similar, it won't be difficult to identify amino acid residues involved for the 2 channels' difference in their sensitivities to Slc7a5.

We agree these are important concerns and we have added additional data to address these questions, particularly in Figures 4, 7, 8 and 9 of the revised manuscript. We had initially pursued more detailed experiments of Kv1.1/1.2 chimeras. These data are now included as supplements to Figure 7, although we found these experiments to be ambiguous in that we could not isolate individual voltage sensor regions that determined a Kv1.1- vs. Kv1.2-like response. This may be because both Kv1.1 and Kv1.2 are sensitive to Slc7a5, leading to mixed effects on the gating shift and Slc7a5-mediated inhibition in these chimers. Although We could not find a clear answer using the approach of mixing segments of Kv1.1 and Kv1.2, we agree that this may be useful information and is worthwhile to include.

It turned out that a far more useful approach was to use chimeric channels comprising segments of Kv1.5 (which is insensitive to any Slc7a5 modulation, as far as we can tell). This approach was much more fruitful, and revealed a single amino acid in the S1 segment that strongly influences Slc7a5 sensitivity. This has been included in Figures 8 and 9 of the revision, highlighting that residue Kv1.2[164] or Kv1.1[168] strongly influences the response to Slc7a5.

As mentioned to reviewer #2, we have not successfully co-immunoprecipitated Kv1.1 and Slc7a5 (or Kv1.2 and Slc7a5), which may be a reflection of the interaction being detergent sensitive, or implying the involvement of additional proteins. We have used a BRET assay that illustrates proximity in the revised paper (Figure 4D-F), although we recognize that more work will need to be done to determine the structural basis for modulation. We have tried to convey this uncertainty regarding a physical association clearly in the revision.

[Editors’ note: what follows is the authors’ response to the second round of review.]

Revisions:

Some concerns remain.

1) It is helpful to provide some characterization or explanation of the Slc7a5-induced Kv1.1 and 1.2 channel inhibition which can be disinhibited by holding at -120 mV. How does the inhibition occur? It is not shown in the data what condition and how long needed for the inhibition to occur. After disinhibition by holding at a very negative voltage, it is unclear whether the channel can go back to the inhibited state.

We have now addressed this in the Results section, along with more details in the Discussion (see also point 3). We clarify that Slc7a5-mediated inhibition is observed immediately after break-in. After relief of inhibition, currents typically remain stable for the remainder of the experiment. We presume that Slc7a5-mediated inhibition occurs over longer time scales than we are able to observe in a patch clamp recording.

2) It is possible that Slc7a5 may act on VSDs either directly via physical interactions or indirectly via another protein. However, the current data cannot rule out other possibilities, e.g., Slc7a5 may act on other parts of the channels which somehow allosterically magnifies or modifies the Kv1 channels' intrinsic voltage gating properties.

We agree that although we have identified specific residues that influence the functional effects of Slc7a5 on Kv channels, this does not demonstrate that this is the specific site of interaction. We have made a note of this towards the end of the Discussion section.

3) It is interesting that the F252A mutation on Slc7a5 exerted some effect on Kv1 gating. The observed interaction between inactivation and inhibition is also interesting. Some elaboration or thoughts on those could be helpful for readers.

We agree that the channel inhibition by the F252A mutant is an interesting finding because it suggests that modulation is not dependent on signaling pathways typically related to Slc7a5. Based on our findings we favor the explanation of a direct association between the channel and transporter, although this will require deeper investigation to confirm. We have added a few additional thoughts on this topic in the Discussion. In terms of the relationship between inactivation and Slc7a5 mediated inhibition, we have alluded to this in our added discussion. Specifically, since altered pore-VSD coupling seems to abolish Slc7a5-mediated inhibition in the Kv1.2’LT’ mutant, we suspect that this effect requires intact pore-VSD coupling (rather than some immobilization of the VSD by Slc7a5 that prevents channel opening).

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 1—source data 1. Slc7a5 effects on voltage-dependence of activation of Kv1.1.
    Figure 2—source data 1. Disinhibition of Kv1.1 at hyperpolarized voltages.
    Figure 3—source data 1. Modulation of Kv1.1 by endogenous Slc7a5.
    Figure 4—source data 1. Rapamycin and BCH effects on Slc7a5 modulation of Kv1.1.
    elife-54916-fig4-data1.xlsx (115.2KB, xlsx)
    Figure 5—source data 1. Modulation of Kv1.1 inactivation by Slc7a5.
    Figure 6—source data 1. Distinct voltage-dependence of recovery from inactivation versus Slc7a5-mediated inhibition.
    Figure 7—source data 1. Voltage sensor modulation of Slc7a5 sensitivity of Kv1.1 and Kv1.2.
    Figure 8—source data 1. Voltage sensor modulation of Slc7a5 sensitivity of Kv1.2 and Kv1.5.
    Figure 9—source data 1. Altered Slc7a5 sensitivity in S1 mutant Kv1.1 channels.
    Supplementary file 1. List of primers.
    elife-54916-supp1.docx (10.1KB, docx)
    Transparent reporting form

    Data Availability Statement

    All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for all figures.


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