Abstract
T cell receptor phosphorylation by Lck is an essential step in T cell activation. It is known that the conformational states of Lck control enzymatic activity; however, the underlying principles of how Lck finds its substrate over the plasma membrane remain elusive. Here, single-particle tracking is paired with photoactivatable localization microscopy to observe the diffusive modes of Lck in the plasma membrane. Individual Lck molecules switched between free and confined diffusion in both resting and stimulated T cells. Lck mutants locked in the open conformation were more confined than Lck mutants in the closed conformation. Further confinement of kinase-dead versions of Lck suggests that Lck confinement was not caused by phosphorylated substrates. Our data support a model in which confined diffusion of open Lck results in high local phosphorylation rates, and inactive, closed Lck diffuses freely to enable long-range distribution over the plasma membrane.
Significance
Phosphorylation of the TCR-CD3 complex by the kinase Lck is an essential step in T cell activation, but how membrane-bound Lck finds and phosphorylates its substrates is not well understood. Here, we examined the diffusive behavior of individual Lck molecules by single-particle tracking in conjunction with photoactivatable localization microscopy. Our data demonstrate that Lck molecules frequently switch between confined and free diffusion and spend a prolonged time in the confined diffusion mode in stimulated T cells when the kinase is in the open conformation. This may underpin a dual-state search strategy in which open Lck exhibits confined diffusion, resulting in high local phosphorylation rates, and closed Lck diffuses freely to enable wide-range scanning of the plasma membrane.
Introduction
T cell signaling is a tightly controlled process of simultaneous and sequential spatiotemporal events involving membrane remodeling and the redistribution of signaling proteins (1). Engagement of the T cell receptor (TCR) with an antigenic pMHC on the surface of an antigen-presenting cell leads to the formation of immunological synapses (2) and initiates downstream signaling events that lead to T cell activation (3). The Src family kinase Lck plays a crucial role in the signaling cascade. TCR engagement results in the membrane release (4) and phosphorylation of the immunoreceptor tyrosine-based motifs located in the cytoplasmic tails of the CD3ζ chain by Lck (5). Phosphorylated sites on the TCR-CD3 complex become docking sites for ZAP70, which is further phosphorylated by Lck (6), before recruiting other proteins in the signaling cascade that are necessary for complete T cell activation.
The kinase Lck, an essential TCR signaling protein, is a 56-kDa protein composed of an Src homology (SH) 4 domain at the N-terminus, followed by a unique domain, an SH3 domain, an SH2 domain, a kinase domain, and a short C-terminal tail. Lck is anchored to the plasma membrane through its SH4 domain via post-translational acylation on three specific sites: a myristoylated Gly2 (7) and a palmitoylated Cys3 and Cys5. The latter two enable membrane binding and, thus, Lck diffusion in the inner leaflet of the plasma membrane (8). Notably, Lck is also found in the cytoplasm, because the palmitoylation is reversible (9), and is recruited to the immunological synapse. The unique domain interacts with the CD3ε subunit in the TCR-CD3 complex (10), as well as the coreceptors CD4 and CD8 (11), via zinc-mediated bonds. However, Lck does not require the coreceptors for recruitment to the immunological synapse or for TCR triggering (12), suggesting that freely diffusing Lck is sufficient for T cell activation.
Lck conformation is regulated by the phosphorylation of two tyrosine residues: Tyr394, whose phosphorylation increases Lck activity, and Tyr505, whose phosphorylation reduces Lck activity (13,14). Intramolecular interactions between the phosphorylated Tyr505 and the SH3 and SH2 domains cause rearrangements that keep Lck in an inactive state (15,16). When dephosphorylated by CD45, Lck exists in an open, primed conformation. When Tyr394 is trans-autophosphorylated (14), rearrangements in the activation loop stabilize the active conformation (17). The diffusion behavior (18) and conformational state of Lck (19,20) are thought to be regulated by the activation state of the cell. The conformational state also influences Lck clustering (21). This means that the Lck conformational state not only regulates Lck enzymatic activity but also aids in its diffusive search strategy.
Whether Lck becomes “active,” i.e., converted into the open conformation upon TCR engagement, has been controversial. There is evidence of global changes in relative populations of closed and open Lck in resting versus stimulated T cells (19,20). These studies propose that Lck undergoes conformational changes upon T cell activation, driving it from its closed state to an open state, therefore enhancing its activity. Using biochemical analyses, conformational heterogeneity was observed in resting and stimulated T cells (22), suggesting a “standby model” in which ∼40% of Lck is in the open conformation in both resting and stimulated T cells. Ballek et al. challenged these observations in a later report that used different cell lysis conditions (23). Other studies, based on measurements of fluorescence resonance energy transfer between fluorescent proteins fused to the N- and C-terminals of Lck, found that 62% of Lck was preactivated in T cells (24) and concluded that there was no significant change in open versus closed populations of Lck, even after T cell stimulation (25). Although different articles report different percentages of open Lck in prestimulated cells, constitutively active Lck was also found in CD8+ memory T cells and may account for the enhanced sensitivity to antigen in these cells (26). A pool of active Lck existing before T cell stimulation led to the idea that rapid TCR triggering postreceptor engagement may be caused by changes in Lck spatial rearrangements as opposed to, or in addition to, conformational changes. Using single-molecule localization microscopy in fixed cells, we previously showed that Lck distributed differently on the cell surface depending on its conformational state (21), with open Lck residing preferentially in clusters and inactive Lck preventing clustering. However, this study only captured the overall distribution of open or inactive Lck and the movement of Lck clusters, but to understand the search strategy of the membrane-bound kinase, the dynamic behavior of individual molecules needs to be taken into account.
The dynamic behavior of Lck was previously mapped with single-particle tracking (SPT) in live cells, revealing, for example, the differences in Lck diffusion in stimulated versus resting T cells and the formation of microclusters, but without linking dynamics to conformational states (18,27). Overall changes in diffusion constants were observed, as well as segregation into different confinement zones, attributed to actin and other proteins compartmentalizing the membrane (27,28) or to the formation of membrane microdomains (18). Recently, Lck compartmentalization upon TCR stimulation was attributed to the formation of close-contact zones between the T cell membrane and the stimulating surface, possibly because of exclusion of CD45, in line with the kinetic segregation model (29). These works, however, did not take into account the conformational change in Lck.
In the current study, we utilize SPT using photoactivatable localization microscopy (sptPALM) (30) as a tool to study the diffusion of wild-type and mutated Lck, which lacks the tyrosine residues on positions 394 and 505, to measure the dynamics of the inactive and open forms, respectively (19,20). Lck variants were tagged with photoactivatable monomeric cherry (PAmCherry) (31), expressed in Jurkat E6.1 cells, and imaged in resting and activating conditions. Single trajectories were extracted and analyzed to find periods when the proteins underwent confined diffusion, and the fraction of confined versus free proteins was determined (32). Measurements of different Lck variants showed that the open form of Lck spent more in confinements compared with the inactive form. Taken together, the data suggest that Lck continuously switched between open and closed states, a process that is likely to determine the probability of productive encounters between Lck and its substrates.
Materials and Methods
Plasmids
Lck and Lck10 were amplified by PCR and inserted within the Ecot1 and Age1 restriction sites of a pPAmCherry-N1 plasmid. Y394F, Y505F, and K273R mutations were further introduced via site-directed mutagenesis.
Sample preparation
Jurkat cells were cultured in Roswell Park Memorial Institute (RPMI) medium (Gibco, Waltham, MA) containing phenol red and supplemented with 10% (v/v) fetal bovine serum (FBS), 2 mM L-glutamine (Invitrogen, Carlsbad, CA), 1 mM penicillin (Invitrogen), and 1 mM streptomycin (Invitrogen). Cell cultures were passaged normally every ∼48 h, when the cell count reached ∼8 × 105 viable cells per milliliter. The cells were cultured for at least 1 week (three to four passages) after thawing before transfection and imaging. No cells were used after passage 20.
Cells were transfected by electroporation (Neon; Invitrogen); briefly, cells were collected before reaching a cell density of 8 × 105 cell/mL and while ≥90% viable. The cells were washed twice with 1× phosphate-buffered saline (PBS) at 37°C and resuspended in the resuspension buffer provided with the Neon kit. Three pulses of 1325 V with 10-ms durations were applied. The cells were allowed to recover in clear RPMI 1640 medium (Gibco) supplemented with 20% HI-FBS overnight. Before imaging, fresh warm (37°C) media with 40 mM HEPES (pH 7.4) was added to achieve a final concentration of 20 mM HEPES.
1.5H coverslips (Marienfeld-Superior, Lauda-Königshofen, Germany) were water-bath-sonicated in four 30-min stages: 1 M KOH, acetone, EtOH, and ultrapure (18 MΩ.cm) water. The coverslips were then allowed to adsorb 0.01% poly-L-lysine (PLL) (Sigma, St. Louis, MO) in ultrapure water for 15 min. Excess solution was later aspirated, and the coverslips were baked dry in 60°C for 1 h. Finally, after cooling down, the coverslips were coated with either 0.01 mg/mL anti-CD3 (OKT3; eBioscience, San Diego, CA) and 0.01 mg/mL anti-CD28 (CD28.2; Invitrogen) for stimulating conditions or 0.01 mg/mL α-CD90 for (Thy-1; eBioscience) for resting conditions and let rest at 4°C overnight before imaging. The coverslips were washed three times with PBS prewarmed to 37°C before the cells were transferred onto them to interact with the antibodies. For live-cell experiments, imaging took place ∼5 min after cell transfer, or cells were fixed with 4% paraformaldehyde (P6148; Sigma) in 37°C followed by three washing cycles with PBS for fixed-cell imaging.
To verify the activation status of T cells, Jurkat E6.1 cells on resting and stimulating surfaces were fixed with 4% paraformaldehyde and were immunostained with a primary antibody against CD3ζ Y142 conjugated to Alexa Fluor 647 (K25-407.69; BD Biosciences, Franklin Lakes, NJ). Fluorescence intensity was determined with total internal reflection fluorescence (TIRF) microscopy (Elyra; Zeiss, Oberkochen, Germany) and analyzed as previously described (33). For Ca2+ imaging in T cells, cells were loaded with Fluo-4, washed, incubated on the indicated surface for 15 min or kept in solution and imaged with confocal microscopy (LSM780; Zeiss). Note that Jurkat cells exhibit Ca2+ basal fluxes. To measure CD69 expression, 106 Jurkat E6.1 cells were stained with anti-human CD69 Alexa Fluor 488 (310916; BioLegend) at 4°C for 30 min, placed on resting or simulating surfaces or kept in solution, and analyzed with flow cytometry (FACSanto II and FlowJo software; BD Biosciences).
Imaging
For each sptPALM experiment, 10,000 frames were acquired at a rate of ∼50 frames per second (18-ms exposure time) on a TIRF microscope (ELYRA P1; Zeiss) at 37°C using a 100× oil immersion objective (NA = 1.46) and a 67.5° incident beam angle. The frame rate was chosen to match mean-square displacement of 160 nm for a diffusion of 2 μm2/s, which is below the size of a point spread function and fits well with our experiments in which diffusion coefficients were <2 μm2/s. PAmCherry fused to Lck variants was continuously photoactivated using a 405-nm laser radiation tuned to 0.5–5 μW (interchangeable during acquisition to maintain a low density) and continuously excited with a 561-nm laser tuned to 2.5 mW. Point density was monitored by using the ZEN (Zeiss) online processing tool.
Data analysis
All accumulated data are from three biologically independent experiments, i.e., each mutant was imaged in two or more cells (in one of the three repetitions, in which a repetition relates to a different transfection) in each cell activation state (stimulated or resting). We used Diatrack (34) for fitting the point spread functions to a Gaussian with a 1.75-pixel width (1 pixel ≈ 0.097 nm) and then to track the particles by setting the search radius to 10 pixels. The data were later analyzed by a custom MATLAB (The MathWorks, Natick, MA) adaptation of the trajectory analysis part of a previously published multitarget tracing code (32). Immobile particles (i.e., particles that had trajectories with an end-to-end distance of less than two pixels) and trajectories shorter than 15 frames were excluded from analysis. Stages of confined and free diffusion were detected according to Eq. 1, with Dfree = 2.15 μm2/s (Fig. S2 b, bottom) and W = 4, and tW was the sum of the exposure time and the CCD reading time (∼19.7 ms). To detect time spent in confinement, each sequence was segmented to nonoverlapping windows of five frames, and in each block of five frames, the ratio of confined:total particles was calculated. Each value of one five-frame window is a count in the histogram. The level of confinement, LConf, was calculated according to the following equation:
| (1) |
where Dfree is the diffusion coefficient of freely diffusing Lck in μm2 s−1, W is the window size in frames, tW is the temporal length of the window in seconds, and var(r) is the variance in μm2, which was determined for each window. All data processing and statistical analyses were performed in MATLAB.
Statistical tests
To compare between two populations of confinement fractions that do not normally distribute, we used the Mann-Whitney U test, whereas the Kruskal-Wallis test was used for multiple data sets followed by a Bonferroni post hoc test. ∗∗∗∗ and n.s. indicate p ≤ 0.00001 and p > 0.01, respectively. Ranges around median and mean values in Supporting Material are the 95% confidence intervals calculated from bootstrapping the data by sampling 10,000 times.
Results and Discussion
The goal of this study was to determine whether the diffusion properties of individual Lck molecules were influenced by the conformational states of the kinase. Because Lck is found both in a cytosolic pool and attached to the inner leaflet of the plasma membrane (9), we chose sptPALM, as single-molecule trajectories under TIRF illumination enable the quantification of only membrane-bound Lck. Comparing Lck in different conformational states requires the expression of Lck mutants. Because these mutants also impact Lck activity, and hence the T cell activation status, it was necessary to express Lck in wild-type Jurkat cells that also express endogenous Lck (35). This allowed us, for example, to compare the diffusion of kinase-dead Lck in resting and activated cells because endogenous Lck facilitates T cell activation in cells that also express kinase-dead Lck. Notably, sptPALM experiments do not require high levels of overexpression, so the total levels of Lck can be kept within or close to the physiological range. Finally, we needed to control the T cell activation status. We chose to do this by seeding T cells onto activating and nonactivating antibody-coated surfaces. These conditions not only result in controlled T cell activation (33) but also enable the recording of long single-molecule trajectories. To determine whether individual Lck molecules switch between diffusion modes and gain statistical certainty, it is necessary to record large numbers of trajectory of sufficiently long durations. Alternative activation protocols such as protein-decorated supported lipid bilayers are not ideal for SPT experiments because cells move laterally with different speeds on activating and nonactivating bilayers and severely limit both the number of trajectories per cell and the length of each trajectory that can be recorded. Although antibody-coated surfaces result in well-controlled T cell activation statuses (Fig. S1) and enabled sptPALM experiment, it should be noted that TCR clustering and mobility is different in T cells on antibody-coated surfaces compared with T cells on laterally mobile supports, with both protocols resulting in mobile and immobile TCRs under both activating and nonactivating conditions (33). In summary, Jurkat E6.1 cells were transfected with either wild-type Lck (wtLck) fused to PAmCherry (wtLck-PAmCherry) or Lck variants, such as a truncated construct of Lck containing only the first 10 amino acids that are responsible for Lck anchoring to the membrane (Lck10-PAmCherry). T cells were incubated for 5 min at 37°C on a coverslip coated with anti-CD3 and anti-CD28 antibodies (stimulated) or anti-CD90 (resting) and then imaged either in live-cell conditions or after chemical fixation.
Identification of free and confined states of Lck in live T cells
For each SPT experiment, we acquired 10,000 frames with an 18-ms exposure for the duration of ∼197 s under TIRF illumination. Although imaging was done by continuously photoactivating and exciting the fluorophores, the rate of photoactivation, and thus density of emitting fluorophores, was kept deliberately low to ensure only individual Lck molecules were tracked. Because Lck could be cytosolic, or found in fast-moving cytosolic vesicles, which can appear briefly in the TIRF zone, we removed trajectories shorter than 15 frames. Likewise, immobile particles (see Materials and Methods) were excluded from analysis to eliminate Lck in cytosolic vesicles that were docked at the plasma membrane.
To address whether individual Lck molecules could switch between different diffusion modes, we employed a previously described post-tracking analysis that can distinguish between confined and free diffusion in each trajectory (Fig. S2; (32)). Briefly, every trajectory is first fragmented into overlapping windows. For each window, the normalized variance of the location of the particle is calculated as a measure of the level of confinement, LConf, according to the following equation:
| (2) |
where Dfree is the diffusion coefficient of freely diffusing Lck in μm2 s−1, W is the window size in frames, tW is the temporal length of the window in seconds, and var(r) is the variance in μm2. For the value of Dfree, we could not choose the diffusion coefficient of full-length Lck because of the broad distribution in diffusion coefficients and because the potential protein-protein interactions, even in resting cells, may mean that full-length Lck may not solely diffuse freely. Thus, we chose the diffusion coefficient of 2 μm2 s−1 for Lck10-PAmCherry (in resting T cells) for all versions of Lck because Lck10 is membrane anchored and does not interact with other proteins. The LConf values for wtLck-PAmCherry in stimulated T cells fall largely between the LConf values for Lck10-PAmCherry in resting cells and wtLck-PAmCherry in fixed cells (Fig. 1 A). LConf values show that Lck10-PAmCherry in resting cells diffuses essentially freely, and wtLck-PAmCherry in fixed cells is permanently immobile. The data provide evidence that wtLck-PAmCherry in stimulated T cells either has a homogeneous diffusion of intermediate speed, has two or more pools of Lck with different diffusion coefficients, or that individual Lck molecules alter between a fast/free diffusion mode and a slow/confined diffusion mode.
Figure 1.
Lck switches between free and confined states. (A) LConf acquired for Lck10-PAmCherry in resting Jurkat cells (purple), wtLck-PAmCherry in stimulated Jurkat cells (orange), and wtLck-PAmCherry in fixed cells (cyan), normalized to peak value. The dashed vertical line marks the threshold at which a particle was to be considered confined, i.e., if it had three or more consecutive steps with an LConf value greater than that threshold. (B) An experimental trajectory decomposed to free (magenta) and confined (cyan) states, with the confinements highlighted in yellow circles. (C) Time evolution of LConf values for the trajectory in (B), with the threshold marked with an orange dashed line and the confined periods marked with a yellow shade. (D) Trajectory decomposition maps of wtLck-PAmCherry in stimulated live cells (left) and fixed Jurkat cells (right). Free periods are colored magenta, whereas confined periods are colored cyan. Scale bar, 5 μm. (E) 5-by-5-μm zoomed-in regions of interest in (D) (top, live; bottom, fixed). Scale bar, 1 μm. To see this figure in color, go online.
To test which of the three scenarios apply to wtLck-PAmCherry, we defined a threshold for LConf. We followed the published procedure (32) of choosing the most common LConf value (dotted line in Fig. 1 A) of the protein of interest as the threshold. Importantly, the LConf threshold is defined in the ensemble measurement (i.e., the LConf histogram, Fig. 1 A) and then applied to individual Lck trajectories (Fig. 1 B). To distinguish between confined Lck molecules and Lck molecules that temporarily slowed down, we only regarded a molecule as confined (yellow areas in Fig. 1, B and C) if it has an LConf value above the threshold for three or more consecutive windows. If Lck diffusion is homogenous with an intermediate diffusion coefficient, this criterion would not be fulfilled, and no confinement zones would be detected in individual trajectories. If two pools of Lck exist that have different diffusion modes but Lck molecules do not switch between diffusion modes while being tracked, the entire length of the trajectory would either be contained within or excluded from the confinement zone, i.e., there would be two types of trajectories. If—and only if—a molecule switched diffusion mode would part of the trajectory lie within a confinement zone and part outside the confinement zone (Fig. 1, B and C). The latter was observed for almost all mobile trajectories of wtLck-PAmCherry in stimulated T cells (Fig. 1, B–E), providing strong evidence that individual wtLck-PAmCherry molecules in live cells on activating antibody-coated surfaces switched between free and confined diffusive states (Fig. 1, D and E). In contrast, in fixed cells, only confined or immobile molecules were observed (Fig. 1, D and E).
wtLck was more confined in stimulated than resting T cells
Our data strongly suggest that individual Lck molecules frequently switched between at least two diffusion modes: a more confined diffusion mode and a free diffusion mode. Because previous studies provided evidence that T cell activation decreases the overall diffusion of Lck (18,27), we asked whether T cell activation altered the Lck diffusion mode overall or altered the time spent in either diffusion mode. In our experiments, resting T cell data were generated by placing T cells expressing wtLck-PAmCherry onto coverslips coated with anti-CD90 antibodies. This resulted in good T cell adhesion (Fig. 2 A) but not TCR signaling or T cell activation (Fig. S1; (33)). On antibody-coated surfaces, T cell shape and contact size is broadly comparable for resting and stimulating conditions, with T cells often spreading more on the activating surface, but with considerable cell-cell variability under both conditions. Importantly, good cell adhesion meant that a high number of trajectories could be recorded under both cell conditions (Table 1). To visually compare the two conditions, we color-coded each trajectory according to their initial diffusion coefficient (Fig. 1 A, left with color code below) and applied the LConf threshold value to each trajectory (Fig. 1 B, right, same color code as Fig. 1). It can be seen that Lck overall diffused faster in resting cells, with diffusion coefficients of 1.16 μm2 s−1 (1.15–1.17) to 0.69 μm2 s−1 (0.68–0.7) for resting and stimulated cells, respectively (Figs. 2 A and S3 a; Video S1: resting, right; stimulated, left). Furthermore, fewer confinement zones were detected for wtLck-PAmCherry in resting than stimulated cells (Fig. 1 A). When comparing the LConf histogram of wtLck in stimulated T cells (Fig. 2 B, blue) versus resting T cells (Fig. 2 B, orange), it is noticeable that the values in activated cells are shifted to higher values, resulting in a mean LConf value of 32.9 in stimulated cells and 29.1 in resting cells.
Figure 2.
wtLck-PAmCherry is more confined in stimulated cells. (A) Representative stimulated and resting Jurkat E6-1 cells expressing wtLck-PAmCherry. The left panels show bright-field images of the cells with detected trajectories overlaid and color coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar, 5 μm. Bottom: diffusion histograms corresponding to the cells above, sharing mutual color coding. (B) LConf histograms for wtLck-PAmCherry in resting (orange) and stimulated (blue) cells. (C) Histograms of the fraction of confined wtLck-PAmCherry molecules obtained for 13 stimulated (blue) and 17 resting (orange) Jurkat cells. The box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, ∗∗∗∗p ≤ 0.00001. To see this figure in color, go online.
Table 1.
Diffusion Coefficients and Confinement of wtLck, Lck10, and Lck Mutations Obtained by Single-Particle Tracking
| Resting T Cells | Stimulated T Cells | |
|---|---|---|
| wtLck-PAmCherry | D = 1.16 μm2 s−1 (1.15–1.17) | D = 0.69 μm2 s−1 (0.68–0.7) |
| Confined: 26.4% (26.1–26.7) | Confined: 31.0% (30.6–31.3) | |
| Ntotal = 34,309 | Ntotal = 21,065 | |
| Nimmbole = 2929 (8.54%) | Nimmbole = 2508 (11.91%) | |
| Lck10-PAmCherry | D = 2.15 μm2 s−1 (2.14–2.17) | D = 2.08 μm2 s−1 (2.07–2.09) |
| Confined: 14.7% (14.5–15.0) | Confined: 14.0% (13.7–14.2) | |
| Ntotal = 53,357 | Ntotal = 67,352 | |
| Nimmobile = 805 (1.51%) | Nimmbole = 1526 (2.27%) | |
| LckY505F-PAmCherry | D = 0.95 μm2 s−1 (0.94–0.96) | D = 0.65 μm2 s−1 (0.64–0.66) |
| Confined: 30.0% (29.7–30.2) | Confined: 29.9% (29.6–30.11) | |
| Ntotal = 41,127 | Ntotal = 32,024 | |
| Nimmbole = 3650 (8.87%) | Nimmbole = 4467 (13.95%) | |
| LckY394F-PAmCherry | D = 1.24 μm2 s−1 (1.22–1.26) | D = 0.88 μm2 s−1 (0.87–0.89) |
| Confined: 26.2% (25.9–26.6) | Confined: 26.1% (25.9–26.3) | |
| Ntotal = 21,309 | Ntotal = 32,477 | |
| Nimmbole = 1350 (6.34%) | Nimmbole = 2921 (8.99%) | |
| LckK273R-PAmCherry | D = 1.13 μm2 s−1 (1.12–1.15) | D = 0.82 μm2 s−1 (0.81–0.83) |
| Confined: 25.6% (25.4–25.9) | Confined: 25.8% (25.6–26.1) | |
| Ntotal = 31,025 | Ntotal = 26,059 | |
| Nimmbole = 2251 (7.26%) | Nimmbole = 2479 (9.51%) | |
| LckK273R, Y505F-PAmCherry | D = 0.51 μm2 s−1 (0.5–0.51) | D = 0.41 μm2 s−1 (0.41–0.42) |
| Confined: 23.3% (23.1–23.5) | Confined: 27.0% (26.8–27.2) | |
| Ntotal = 35,712 | Ntotal = 50,734 | |
| Nimmbole = 4945 (13.85%) | Nimmbole = 9168 (18.07%) |
Average diffusion coefficient, D, and percentage of confinement were extracted from the single-particle analysis for Lck and Lck10 in Jurkat cells on resting and stimulating surfaces. 95% confidence values are listed in brackets. Ntotal refers to the total number of trajectories detected before analysis (including immobile trajectories), and Nimmobile is the number of immobile particles that were excluded from the analysis. The percentage is Nimmobile/Ntotal.
Next, we examined whether the decrease in local displacement variance is due to a redistribution of wtLck-PAmCherry into confinements that would result in an increase in the number of consecutive steps that fall above the LConf threshold value. Thus, we segmented the total video into segments of five frames (Fig. S4), in which we asked how many particles out of the total number of particles imaged were confined. Histograms obtained for stimulated and nonstimulated cells (Fig. 2 C) were collected. There was a clear difference in the peak value for the two populations, as well as a larger tail of high values for wtLck-PAmCherry in stimulated cells. As a consequence, the populations were statistically different (Fig. 2 C) when tested against the null hypothesis, according to which the samples are drawn from the same population, using the rank sum test, with different medians and nonoverlapping 95% confidence intervals with the values of 27.27% (26.67–27.78) and 22.22% (21.82–22.73) for stimulated and resting cells, respectively. The percentage of confined wtLck-PAmCherry were 31.0% (30.6–31.3) and 26.4% (26.1–26.7) in stimulated and resting cells, respectively.
Overall, these results show that wtLck-PAmCherry diffused slower in stimulated cells compared with resting cells because individual Lck molecules spent more time in confinement zones. These results are in agreement with an increase in wtLck-PAmCherry clustering in fixed stimulated versus fixed resting T cells (21). Confinement of Lck could be caused by lipid rafts (36,37), by microdomains (38,39), and/or because Lck became trapped in protein clusters (18), such as TCR clusters (40). In our experiments, potential Lck binding partners were not fluorescent, and the low laser intensity made it unlikely that neighboring Lck molecules were photoconverted in the same imaging frame. Thus, it is not possible to classify detected Lck molecules as belonging to a Lck cluster, bound to the TCR, or other signaling proteins. Because we also observed that individual Lck molecules experience confinement in resting T cells, it is unlikely that all confinement events were caused by TCR signaling clusters because the TCR phosphorylation levels in resting T cells on antibody-coated surfaces were hardly detectable (Fig. S1). It should be noted that we previously found that Lck clusters in stimulated cells on antibody-coated surfaces were constantly remodeled and not positionally stable (21), but it is possible that Lck confinement is caused by Lck clustering in stimulated T cells.
Membrane anchoring alone is not contributing to Lck confinement
Lck confinement may be attributed to the formation of membrane domains, i.e., changes in membrane order, as a result of TCR triggering (41). We used a truncated version of Lck, Lck10, that contained the first 10 amino acids that Lck anchors to the membrane via post-translational lipid modifications. If membrane domains are responsible for the slowdown and confinement of full-length Lck, Lck10 should also exhibit different diffusion in resting and activated T cells. Thus, we repeated the sptPALM experiments with Lck, again plotting the initial diffusion coefficient and confinement analysis for individual Lck 10 trajectories (Fig. 3 A). Particularly when compared with full-length Lck (Fig. 2 A), there was noticeably less difference in Lck10 diffusion in resting and stimulated T cells (Fig. 3 A; Video S2), although the latter appeared fully spread and activated. Indeed, the diffusion coefficients for Lck10-PAmCherry were very high and were similar in stimulating and resting conditions (Fig. S3 b; Table 1). The overall level of confinement of Lck10-PAmCherry was almost identical for both resting and stimulated cells, with a peak LConf value of 7.2 and 7.7, respectively (Fig. 3 B). These values were significantly different from the ones found for wtLck-PAmCherry, with most of the probability function having a value below the threshold. A histogram of confinement events (Fig. 3 C) shows comparable peak values for both stimulated and resting cells. No statistically significant difference was found between the two samples (Fig. 3 C, top panel), as shown by a median of 9.62% (9.43–9.8) and 9.68% (9.52–10.00) for Lck10-PAmCherry expressed in stimulated and resting cells, respectively. Furthermore, the mean fraction of confined particles was also similar in stimulating and resting cells, with values of 14.0% (13.7–14.2) and 14.7% (14.5–15.0), respectively. These values were lower than those found for wtLck-PAmCherry, suggesting Lck10-PAmCherry was far less confined than wtLck-PAmCherry, even in stimulated cells. Our data are in agreement with previous work by Kusumi and colleagues that also showed different diffusions between a full-length Lck and Lck10 (27). Taken together, the data strongly suggest that the increased confinement observed for full-length wtLck-PAmCherry was not due to global changes in membrane organization or membrane domains (18) because confinement of Lck10 in resting and stimulated T cells was similar.
Figure 3.
Lck10-PAmCherry demonstrates free diffusion in resting and stimulated cells. (A) Representative stimulated and resting Jurkat E6-1 cells expressing Lck10-PAmCherry. The left panels show bright-field images of the cells with detected trajectories overlaid and color coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar, 5 μm. Bottom: diffusion histograms corresponding to the cells above, sharing mutual color coding. (B) LConf histograms for Lck10-PAmCherry in resting (orange) and stimulated (blue) cells. (C) Histograms of the fraction of confined Lck10-PAmCherry molecules obtained for 19 stimulated (blue) and 15 resting (orange) Jurkat cells. The box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, n.s. p > 0.01. To see this figure in color, go online.
Open Lck is highly confined in stimulated and resting cells
Next, we quantified the influence of conformation on confinement of Lck in live cells. First, we introduced a tyrosine-to-phenylalanine mutation at position 505 in Lck (LckY505F). The mutation prevents the binding of Lck phosphorylated Tyr505 to its own SH2 domain. This mutation is well-known as “constitutively open” (19, 20, 21,25,42) and “hyperactive” (13). It should be noted that overexpression of LckY505F can lead to spontaneous, antigen-independent triggering of the TCR. To keep our experiments consistent throughout this study, we thus expressed LckY505F-PAmCherry to a similar level as wtLck-PAmCherry in Jurkat cells. The same sptPALM analysis as above yielded images pseudocolored for initial diffusion and confinement (Fig. 4 A; Video S3). Resting cells still had a smaller surface contact zone than stimulated T cells despite the overexpression of LckY505F-PAmCherry.
Figure 4.
LckY505F-PAmCherry is equally confined in stimulated and resting cells. (A) Representative stimulated and resting Jurkat E6-1 cells expressing LckY505F-PAmCherry. The left panels show bright-field images of the cells with detected trajectories overlaid and color coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar, 5 μm. Bottom: diffusion histograms corresponding to the cells above, sharing mutual color coding. (B) LConf histograms for LckY505F-PAmCherry in resting (orange) and stimulated (blue) cells. (C) Histograms of the fraction of confined LckY505F-PAmCherry molecules obtained for 14 stimulated (blue) and 18 resting (orange) Jurkat cells. The box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, n.s. p > 0.01. To see this figure in color, go online.
An overall change in the diffusion constants due to cell activation was observed, with values of 0.65 μm2 s−1 (0.64–0.66) and 0.95 μm2 s−1 (0.94–0.96) in stimulated and resting cells, respectively (Fig. S3 c; Table 1). Furthermore, LConf values for LckY505F-PAmCherry were higher than those of wtLck-PAmCherry (Fig. 4 B), with peak values of 39.28 and 42.53 in stimulated and resting cells, respectively, and with <50% of log10(LConf) events above the confinement threshold. In contrast to wtLck-PAmCherry, the LConf distributions of LckY505F-PAmCherry were similar in resting and stimulated T cells despite the shoulder at low LConf values in resting cells. In both resting and activated T cells, LckY505F-PAmCherry was more confined than wtLck-PAmCherry. This was also observed in the histograms of the confined fractions (Fig. 4 C), with a large population of LckY505 molecules falling into the right tail of the distribution. Importantly, unlike in the corresponding data for wtLck-PAmCherry, these values were not significantly different from each other (Fig. 4 C, top), with median values and overlapping 95% confidence intervals of 26.55% (26.32–26.67) and 26.39% (26.14–26.67) for stimulated and resting cells, respectively. The fractions of confined LckY505F-PAmCherry were 29.9% (29.6–30.11) and 30.0% (29.7–30.2) in stimulated and resting cells, respectively.
These data show that when Lck is locked in the open state, it is also driven into a more confined diffusive behavior, which is comparable with wtLck-PAmCherry in stimulated cells (Fig. S5). Given that Lck in the open conformation exhibited confined diffusion and hyperactivity (13,14), it is highly likely that the confined diffusion state results in high local phosphorylation rates. Open Lck may become preferentially trapped in protein clusters that form upon TCR triggering (18,40), resulting in slower overall diffusion and more confinement. However, open Lck was also strongly confined in resting T cells, suggesting that protein clusters per se are not necessary to confine Lck. Confinement may be caused by enhanced protein-protein interactions, including Lck self-association (21). If the level of confinement is indicative of the fraction of Lck in the open conformation, our data support the notion that TCR triggering results in a higher proportion of wtLck in the open conformation (19,20).
Inactive Lck is as confined as wtLck in resting cells
To further investigate the hypothesis that Lck conformation regulates Lck diffusive behavior, we expressed an inactive form of Lck in Jurkat cells. A mutation in position 394 converting a tyrosine into phenylalanine (LckY394F) prevents its trans-autophosphorylation, which is necessary for Lck activity and results in reduced activity (14) or an inactive Lck (13), likely because of the hyperphosphorylated Tyr505, which constitutively closes the enzyme (19). Despite the overexpression of LckY394F-PAmCherry, T cells adhered well on nonactivating surfaces. Visual examination of LckY394F-PAmCherry suggests that closed Lck was rarely confined even in T cells on stimulating surfaces (Fig. 5 A; Video S4).
Figure 5.
LckY394F-PAmCherry is equally confined in stimulated and resting cells. (A) Representative stimulated and resting Jurkat E6-1 cells expressing LckY394F-PAmCherry. The left panels show bright-field images of the cells with detected trajectories overlaid and color coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar, 5 μm. Bottom: diffusion histograms corresponding to the cells above, sharing mutual color coding. (B) LConf histograms for LckY394F-PAmCherry in resting (orange) and stimulated (blue) cells. (C) Histograms of the fraction of confined LckY394F-PAmCherry molecules obtained for 16 stimulated (blue) and 14 resting (orange) Jurkat cells. The box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, n.s. p > 0.01. To see this figure in color, go online.
As with the wtLck and LckY505F, LckY394F-PAmCherry did undergo a decrease in diffusion coefficient due to stimulation, from 1.24 μm2 s−1 (1.22–1.26) in resting cells to 0.88 μm2 s−1 (0.87–0.89) in stimulated cells (Fig. S3 d; Table 1). We applied the same sptPALM analysis to LckY394F-PAmCherry, and lower LConf values were obtained, with peak values of 32.93 and 30.36 in stimulated and resting cells, respectively (Fig. 5 B). Histograms of the fraction of confined LckY394F-PAmCherry showed that the populations were skewed toward lower values and also contained the shoulder at low LConf values (Fig. 5 C). Similar to LckY505F-PAmCherry, LckY394F-PAmCherry showed no statistically significant difference between stimulated and resting cells (Fig. 5 C, top panel) and medians of 22.22% (21.88–22.58) and 21.95% (21.43–22.22) for LckY394F-PAmCherry in stimulated and resting cells, respectively. The mean confinement fractions were 26.1% (25.9–26.3) and 26.2% (25.9–26.6) for LckY394F-PAmCherry in stimulated and resting cells, respectively. It is possible that the K273R mutation in Lck prevents the rearrangements in the activation loop that prevent interaction with other proteins, thus limiting confinement (13). Our data are consistent with Wan et al. who also report a slower diffusion rate for LckY394F than wtLck due to fewer Lck-Lck interactions (24).
The confinement fraction values we found for the inactive Lck were smaller than the ones found for the open Lck (Fig. S5), suggesting that each Lck activity or conformational state regulates Lck diffusion. Indeed, inactive Lck had a similar level of confinement as wtLck in resting cells, whereas open Lck was similarly confined as wtLck in activated cells (Fig. S5). Thus, the data support the notion that confinements are regulated by the conformational state of Lck, with open Lck being more confined than inactive Lck.
Lck conformation and activity determine confinement
To delineate Lck activity from Lck conformational state, we expressed a constitutively inactive Lck variant in which the lysine in position 273 in the kinase domain is replaced with arginine (LckK273R-PAmCherry, Fig. 6; Fig. S6), which has been shown to render Lck kinase-dead (43). Images of resting and activated T cells expressing LckK273R-PAmCherry (Fig. 6 A) and the LConf histogram (Fig. 6 B) looked similar to images of T cells expressing wild-type Lck only, with the histogram again containing the shoulder at low LConf values. Different diffusion coefficients of 0.82 μm2 s−1 (0.81–0.83) and 1.13 μm2 s−1 (1.12–1.15) were observed for LckK273R-PAmCherry in stimulated and resting cells, respectively (Fig. S3 e; Table 1). However, similar LConf histograms, with values of 34.80 for stimulated and 37.58 for resting cells, were obtained (Fig. 6 B, blue and orange), with no significant difference observed in the fraction of time spent confined (Fig. 6 C, blue and orange). LckK273R-PAmCherry spent 25.8% (25.6–26.1) and 25.6% (25.4–25.9) of time confined in stimulated and resting cells, respectively (Fig. 6 C). Thus, the level of confinement of kinase-dead Lck did not depend on the T cell activation status as it did for wtLck (Fig. S6), suggesting that trans-autophosphorylation of wtLck (13) contributes to confinement.
Figure 6.
Confinement analyses for LckK273R-PAmCherry and LckK273R, Y505F-PAmCherry in stimulated and resting cells. (A) Representative stimulated and resting Jurkat E6-1 cells expressing LckK273R-PAmCherry and LckK273R, Y505F-PAmCherry. The left panels show bright-field images of the cells with detected trajectories overlaid and color coded according to their initial diffusion. The right panels show the free (magenta) and confined (cyan) modes of diffusion. Scale bar, 5 μm. Bottom: diffusion histograms corresponding to the cells above, sharing mutual color coding. (B) LConf histograms for LckK273R-PAmCherry and LckK273R, Y505F-PAmCherry in resting and stimulated cells (orange, blue, purple, and yellow, respectively). (C) Histograms of the fraction of confined LckK273R-PAmCherry molecules obtained for 12 stimulated (blue) and 14 resting (orange) Jurkat cells and histograms of the fraction of confined LckK273R, Y505F-PAmCherry obtained for eight stimulated (yellow) and eight resting (purple) Jurkat cells. The box plot shows the median. Notch 95% confidence interval, box edges first and third quartile, lines Tukey’s fences, ∗∗∗∗p ≤ 0.00001, n.s. p > 0.01. To see this figure in color, go online.
To further test this hypothesis, we expressed a constitutively open, kinase-dead mutant, LckK273R, Y505F-PAmCherry. The images (Fig. 6 A) and the LConf histogram (Fig. 6 B) were similar to LckK273R-PAmCherry. LckK273R, Y505F-PAmCherry had slower diffusion coefficients of 0.41 μm2 s−1 (0.41–0.42) and 0.51 μm2 s−1 (0.5–0.51) in stimulated and resting cells, respectively (Figs. 6 A and S3 f; Video S5), values that were slower than those obtained for LckK273R-PAmCherry (Fig. S3, e and f). Furthermore, LckK273R, Y505F-PAmCherry had higher LConf values in stimulated cells (Fig. 6 C, purple and yellow) compared with resting cells (44.78 and 35.09, respectively). When comparing total trajectories, LckK273R, Y505F-PAmCherry in stimulated cells was more confined than in resting cells and more than LckK273R in both cell activation statuses (Fig. S6). These data support the notion that open, but not necessarily enzymatically active, Lck confined the kinase in distinct zones in the plasma membrane. LckK273R, Y505F-PAmCherry was more confined in stimulated cells (27.0% (26.8–27.2)) than resting cells (23.3% (23.1–23.5)). Moreover, the lowered confinement for the K273R-Y505F mutant in resting cells compared with stimulated cells excludes the possibility of confinement due to an increase in hydrodynamic radius of the enzyme (Fig. S6).
Finally, we compared the level of confinement of open and inactive Lck mutations (Fig. S5). It should be noted that these mutants were expressed in wild-type Jurkat cells and thus contained endogenous, untagged wtLck. It is possible that wtLck affected the diffusion of mutant Lck. Taken together, our data suggest that diffusion behavior could be regulated by the conformational state of the enzyme. LckY394F-PAmCherry, i.e., inactive Lck was less confined than wtLck-PAmCherry in stimulated cells and LckY505F-PAmCherry, i.e., open Lck, in stimulated and resting cells. Furthermore, LckY394F-PAmCherry demonstrated similar confinement to that of wtLck-PAmCherry in resting cells. The values obtained for the open mutant, both in stimulated and resting cells, were closer to the value that we obtained for wtLck-PAmCherry in stimulating conditions. Taken together, our data support the notion that the open conformational state of Lck may result in Lck confinement. Thus, a model emerges in which the enzyme switches between open and closed conformation, which may result in a dual-state search strategy in which open and active Lck is confined and closed and inactive Lck diffuses freely (Fig. 7).
Figure 7.
Lck molecules switch between a confined and free diffusion modes. Lck (illustrated in blue) exists in two main conformations: a closed conformation characterized by low catalytic activity and mediated by intramolecular interactions and an open conformation characterized by high catalytic activity and free SH2 and SH3 domains. Our data propose that the closed conformation diffuses unimpeded (purple line), whereas the open conformation interacts with other membrane proteins (illustrated in green) via SH2- and SH3-domain-mediated interactions and becomes confined (yellow circles) through rapid rebinding (teal line). This may result in a dual-stage search strategy in which free diffusion allows Lck to relocate over large membrane areas, whereas confinement in the open conformation enables high substrate phosphorylation rates. To see this figure in color, go online.
Conclusions
Phosphorylation of the TCR-CD3 complex by the kinase Lck is an essential step in T cell activation (44). Although the link between phosphorylation state and activity in Lck is reasonably well established (45), how membrane-bound Lck finds and phosphorylates its substrates is not well understood. Here, we provide evidence that individual Lck molecules frequently switched between confined and free diffusion in resting and stimulated T cells. A possible driver for the switch in diffusion modes could be the conformational states of Lck because open Lck exhibited more confined diffusion, and inactive or closed Lck exhibited more free diffusion. As it has been shown that autoinhibited Src cannot bind substrates (46), this is consistent with a dual-state search strategy, which enables Lck to redistribute over large areas of the membrane in its closed state, and high local activity to efficiently phosphorylate TCR-CD3 complexes at numerous sites in the open state. Lck interactions with other proteins (47, 48, 49, 50) and lipids (51) could also contribute to the temporary confinement of Lck. Although the mechanism or mechanisms for Lck confinement remain unknown, Lck conformation may control the probability of interactions with binding partners to modulate T cell signaling activity, particularly if confined Lck is predominately in the open and enzymatically active state.
For technical reasons, we used coverslips coated with antibodies for our sptPALM experiments, and this format may have impacted the mobility of the TCR-CD3 complex under activating conditions. We have previously conducted a detailed analysis of the dynamics of the TCR-CD3 complex in T cells and compared TCR mobility in T cells on supported lipid bilayers and activating antibodies (as used here) (33). Surprisingly, we found no differences in the percentage of mobile-to-immobile TCR complexes and clusters, but subtle changes with respect to cluster remodeling during movement were found. In T cells on supported lipid bilayers, TCR clusters moving toward the cell center increase in molecular density, whereas TCR clusters moving away from the cell center exhibited a loss in molecular density (33). This correlation was not readily observed in T cells on antibody-coated surfaces. It is possible that the movement and remodeling of TCR-CD3 complexes in T cells on immobilized antibodies impacted Lck diffusion and confinement. In T cells activated on support lipid bilayers, only short sptPALM trajectories could be recorded, which could not be used for a quantitative analysis of the diffusion modes of single Lck molecules. New imaging technology, such as lattice light-sheet microscopy, may reveal insights in Lck behavior when a T cell is in contact with an antigen-presenting cell.
Dual-state search strategies have previously been demonstrated in other systems (52). For Lck, this strategy could entail a confined state that corresponds to high Lck activity while probing the local environment for substrates and a diffusive state that enables the kinase to distribute quickly over the entire membrane. Such a dual-state search strategy may account for the high fidelity of Lck-mediated phosphorylation of the available TCR-CD3 complexes while also retaining high signaling sensitivity when membrane-detached cytosolic tails of the CD3 complex are limited. The former would be mediated by the high enzymatic activity in Lck clusters, whereas the high level of diffusion of Lck in the closed state would enable the latter. In conclusion, a dual-state search strategy facilitated by the behavior of individual Lck molecules may be a regulatory mechanism in T cell activation.
Author Contributions
G.H. performed experiments, modified analysis, analyzed data, and wrote the manuscript. E.P. established analysis and helped write the manuscript. Z.Y. was responsible for the generation of Lck constructs. D.J.N. and J.G. aided in writing and drafting of the manuscript. J.R. provided guidance with experiments. K.G. designed the project, interpreted the data, and wrote the manuscript.
Acknowledgments
K.G. acknowledges funding from the ARC Centre of Excellence in Advanced Molecular Imaging (CE140100011), Australian Research Council (LP140100967 and DP130100269), and National Health and Medical Research Council of Australia (1059278 and 1037320). G.H. acknowledges the supported by an Australian Government Research Training Program (RTP) Scholarship.
Editor: Ilya Levental.
Footnotes
Supporting Material can be found online at https://doi.org/10.1016/j.bpj.2020.01.041.
Supporting Material
References
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