Abstract
To program intercellular communication for biomedicine, it is crucial to regulate the secretion and surface display of signaling proteins. If such regulations are at the protein level, there are additional advantages, including compact delivery and direct interactions with endogenous signaling pathways. Here we create a modular, generalizable design called Retained Endoplasmic Cleavable Secretion (RELEASE), with engineered proteins retained in the endoplasmic reticulum and displayed/secreted in response to specific proteases. The design allows functional regulation of multiple synthetic and natural proteins by synthetic protease circuits to realize diverse signal processing capabilities, including logic operation and threshold tuning. By linking RELEASE to additional sensing and processing circuits, we can achieve elevated protein secretion in response to “undruggable” oncogene KRAS mutants. RELEASE should enable the local, programmable delivery of intercellular cues for a broad variety of fields such as neurobiology, cancer immunotherapy and cell transplantation.
Subject terms: Proteases, Synthetic biology
To program intercellular communication for biomedicine, it is crucial to regulate the secretion and surface display of signaling proteins. Here the authors develop RELEASE, a modular approach to control intercellular signals using protein-based circuits.
Introduction
Synthetic biology aspires to create biomolecular circuits that can sense the state of cells, process the information, and then deliver therapeutic outputs accordingly1,2. This vision has been enhanced by the creation of protein-based circuits by others3–6 and ourselves7. Protein-based circuits have advantages such as fast operation, compact delivery, and robust, context-independent performance compared to traditional transcriptional circuits6,7. However, these protein circuits have operated in the cytosol, and there remains an urgent need for a design that enables protein-level control of intercellular communication, often required at the “respond” step in “sense-process-respond”.
Cell-cell communication is widespread8–10 and essential for diverse biological processes, such as the generation of immunological responses11,12, cell differentiation and tissue development13–15, the maintenance of physiological homeostasis16, and cancer development17,18. Intercellular communication is typically implemented by secreted molecules, including hormones and cytokines. To take cancer immunotherapy as an example, there an ideal application would be introducing a protein circuit that sense the cancerous state of a cell, secrete immunostimulatory signals with temporal and quantitative precision to mobilize the immune system while lysing the cell, and therefore turn these cells into vaccines against other similarly cancerous cells. This would not only avoid the toxic effects associated with the systemic delivery of immunomodulating proteins19,20, but also match the complex, dynamic immune process we are trying to control21. In contrast, of the current local delivery methods22, neither nanoparticle23, or biomaterial-based24 delivery platforms can fulfill the aforementioned functions that circuits can deliver.
Given the importance of intercellular communication, we sought to interface protein circuits with the secretion and display of protein signals. Specifically, because protease activity has emerged as a “common currency” of protein circuits that responds to synthetic and endogenous inputs6,7,25–28, it will be ideal to directly control protein secretion using proteases. To design a modular protease-regulated protein secretion system, we adapted aspects of the natural secretion process. Secreted proteins are typically transported into the Endoplasmic Reticulum (ER), processed in the Golgi apparatus, and finally secreted at the plasma membrane. Some proteins contain signaling motifs (e.g., KDEL for soluble proteins29 and the cytosol-facing dilysine (-KKXX) or -RXR motifs for membrane proteins30–34) recognized in the early Golgi apparatus, causing the protein to be retrieved, transported retrogradely, and retained in the ER32,35. Other ER-resident proteins, such as cytochrome p450 are retained in the ER via their signal-anchor transfer sequence36,37. These retention motifs function in their endogenous contexts as well as when fused to normally secreted proteins30,33. To place ER retention under protease control, we engineered the modular Retained Endoplasmic Cleavable Secretion (RELEASE) platform, compatible with both protein secretion and the surface display of membrane proteins. We validated and optimized the core mechanism of RELEASE, created input-processing capabilities, and then used RELEASE to control physiological outputs. Finally, we combined RELEASE with sensing and processing components to respond to internal cell states and external signals via engineered receptors. This study demonstrates a protein-level control module to directly regulate protein secretion that is compatible with pre-existing protein components to program therapeutic circuits for cancer immunotherapy and transplantation in the future.
Results
Engineering RELEASE for protein secretion and expression
RELEASE contains 4 components: an ER-facing linker containing a furin endoprotease cut site, a transmembrane anchor domain38, a cytosolic linker containing a protease cleavage site, and a cytoplasmic ER retention motif (Fig. 1a, b). On the cytosolic face, the retention motif ensures that the tagged protein is actively transported back to ER39,40, a process only aborted after the motif is removed by a proteases such as tobacco etch virus protease (TEVP)6,7. On the luminal face, soluble proteins are initially tethered to the membrane through the linker and thus coupled to the cytosolic ER retention signal7. After the first cytosolic cleavage event, the membrane-tethered protein is transported into the trans-Golgi apparatus, processed into its soluble form (furin is absent in cis-Golgi or ER)41 (Fig. 1a), and finally secreted.
First, to validate the effectiveness of the retention motif, we fused it to secreted embryonic alkaline phosphatase (SEAP)42, and used a dilysine-lacking motif (-AAXX) as the negative control (not retained). We transiently transfected human embryonic kidney (HEK) 293 cells using DNA plasmids encoding the constructs and 48 h later removed the supernatant to measure SEAP activity following incubation with a colorimetric substrate. Using RELEASE, SEAP is minimally present in the supernatant and comparable to control cells that were not transfected with SEAP (Fig. 1c). Switching the dilysine retention motif (-KKXX) with -AAXX significantly increases SEAP secretion (Fig. 1c). We next placed the dilysine motif under the control of TEVP and showed that the co-expression of TEVP significantly increases SEAP secretion (Fig. 1d—left panel). By switching the cytosolic protease cut sites, we validated RELEASE against other orthogonal proteases such as the hepatitis C virus protease (HCVP) (Fig. 1d—right panel) and the tobacco mottling vein virus protease (TVMVP) (Supplementary Fig. 1a, b). Furthermore, the design is compatible with alternative ER-retention motifs, as we validated constructs using the N-terminal signal anchor sequence from p45036,37 (Supplementary Fig. 2a, b), which confers retention by directly inserting into the ER membrane36,37 rather than retention through retrograde transport31,32.
In anticipation of tuning RELEASE for different applications, we next explored how its performance is affected by two design decisions. First, as an alternative to the tri-transmembrane domain38, we created a single transmembrane variant, and found it more sensitive to TEVP compared to the tri-transmembrane construct (Supplementary Fig. 3a). Similarly, the input sensitivity of HCVP-inducible RELEASE is also modulated by the choice of the transmembrane domain (Fig. 1e). Furthermore, by using a protein linker containing the native residues that flank the HCVP cut site38,43, we made more sensitive HCVP-inducible RELEASE constructs (Fig. 1e—red and green lines) than the original versions that use synthetic flanking sequences. A complete list of the cleavage efficiencies for the RELEASE variants are in Supplementary Table 1. We took advantage of this tunability to reduce RELEASE response to the input-independent activity of a membrane-localized split protease44 (Supplementary Fig. 3b) and therefore improve output dynamic range (Supplementary Fig. 3c, d).
Dual-input systems for fine tuning signaling pathways are an important tool in synthetic biology45 and we hypothesized that RELEASE could be used with traditional inducible gene expression systems to achieve this. Since RELEASE controls protein secretion post-translationally, we used SEAP-RELEASE and rapalog-inducible split TEVP constructs, under the control of a doxycycline-inducible promoter, to measure SEAP secretion with different combinations of inducers (Fig. 1f). Indeed, SEAP secretion was dependent on the presence of both inducers, and the biggest increase in SEAP secretion was observed when both rapalog and DOX was present relative to when they were both absent (Fig. 1f—76.9-fold increase).
We also compared the dynamics of SEAP secretion using RELEASE to traditional inducible gene expression systems (Supplementary Fig. 4a). Following transfection using a DOX-inducible SEAP, there was a significant difference in protein secretion observed 3 h after stimulation with DOX, compared to the uninduced controls (Supplementary Fig. 4b). In comparison, SEAP-RELEASE co-expressed with a rapalog-inducible split-TEVP showed a significant difference in protein secretion, 3 h post-induction with rapalog (Supplementary Fig. 4c), which could be improved to 2 hours by overexpressing furin (Supplementary Fig. 4d). This suggested that furin cleavage could be one of the factors limiting the speed of protein secretion using RELEASE.
In addition to controlling protein secretion, cells can communicate by changing the display of proteins on their surface12,13. By removing the furin cut site in RELEASE, we hypothesized it could control the surface display of proteins (Fig. 1g). To validate this strategy, membrane-bound green fluorescent protein (GFP) fused to RELEASE and a mCherry co-transfection marker were transfected into HEK293 cells, and the cell surface was stained using an anti-GFP antibody. To quantify changes in the surface display of GFP, the mCherry co-transfection marker was used to select for highly transfected cells, which show the largest separation of reporter fluorescence from cellular autofluorescence (Supplementary Fig. 5). GFP-RELEASE constructs significantly increased surface display of GFP in response to the cognate proteases (Fig. 1h). Taken together, these results show that RELEASE is a suitable approach to control the secretion and surface display of proteins in response to protease activity (Fig. 1d, h).
RELEASE is compatible with circuit-level functions
After validating the RELEASE design, our next goal was to ensure that its activation could be programmed using protease-based circuits, either pre-existing6,7 or novel. For RELEASE to operate properly in circuits with multiple proteases, first it is important to validate the orthogonal control of RELEASE by the selected protease7. Indeed, cells simultaneously transfected with two RELEASE constructs (Fig. 2a) were orthogonal and only secreted the respective reporter protein in response to the cognate protease (Fig. 2b). In addition, we observed a slight reduction in SEAP and GFP secretion when both proteases were expressed, relative to when only a single protease was expressed, potentially due to protein overexpression draining finite cellular resources46. This result demonstrates that two proteases can be used to independently regulate secretion of distinct target proteins in the same cell.
In addition to the parallel regulation of multiple outputs, another useful capability is the integration of multiple inputs. Logic operation is crucial for integrating multiple signals, previously implemented for protease circuits using degrons7, or coiled-coiled (CC) dimerization domains6. RELEASE enables the compact implementation of Boolean logic directly at the retention level. To implement OR, two protease cut sites were inserted in tandem into the cytosolic linker so that the retention motif is removed by either protease (Fig. 2c). To implement AND, a RELEASE complex was created containing the N-terminal p450 signal anchor sequence and the C-terminal dilysine motif, each alone conferring sufficient ER retention (Fig. 2d). For SEAP to be secreted, both motifs must be removed (Fig. 2d). We attributed the reduced secretion in the AND gate construct due to the use of the N-terminal signal anchor sequence (Supplementary Fig. 2b). Both gates function as expected (Fig. 2c, d). We also implemented an alternative approach for AND (Supplementary Fig. 6)47,48.
Other than processing signals on its own, can RELEASE be coupled to other protease circuits? We used protease-activated protease as an example of such circuits6. We used CC domains to associate split protease halves with complementary CC domains and catalytically inactive halves (Fig. 2e), “caging” them by preventing the active halves from associating with each other. Cut sites were incorporated between the CC domains and between the CC domain the inactive half, allowing the input protease to remove the inhibitory domains. Following removal of the autoinhibitory portion, the complementary CC domains of the functional split protease halves would then associate and reconstitute protease activity (Fig. 2e). Using this approach, we created a two-protease cascade, in which TEVP activates TVMVP, which in turn cleaves the TVMVP-inducible RELEASE. This circuit increased SEAP secretion in response to TEVP, while maintaining strong retention in the absence of TEVP (Fig. 2f). This highlights the modularity of the RELEASE design and the ability to engineer additional functionality into it.
RELEASE controls biologically relevant proteins
Many cytokines are pleiotropic and their systemic administration would cause serious adverse effects, so controlling their local expression with RELEASE would be advantageous for tumor immunotherapy19. We selected interleukin 12 p70 (referred to as IL-12), because it is a immunomodulatory cytokine important for T-cell activation and proliferation49,50. IL-12 is composed of two obligatory subunits (p35 and p40)51, so we fused the two subunits with a flexible linker19,52 and then with RELEASE (Fig. 3a). As expected, TVMVP significantly increases IL-12 secretion (Fig. 3b) with therapeutically relevant concentrations for cancer immunotherapy19.
As for controlling membrane proteins, we chose the Kir2.1 potassium channel as an example of (Fig. 3c), because it is a powerful tool in neurobiology53,54 and a well-characterized model membrane protein. A protease-controlled Kir2.1 would enable the conditional silencing of neurons based on their intracellular states or extracellular cues, e.g., therapeutic silencing of the most active neurons during a seizure without the side effects of conventional methods that exert indiscriminate silencing. Unlike secreted proteins, Kir2.1 has a cytoplasmic-facing ER export motif (FXYENEV)55 that directs its transport through the secretory pathway, posing a potentially unique challenge in the retention ability of RELEASE and will serve as a test case for its future adaptation to other membrane proteins. To measure the surface display of Kir2.1, a hemagglutinin (HA) epitope was incorporated into its extracellular loop34. In addition, GFP or mCherry was fused to the N-terminus of Kir2.1, to select cells that were highly expressing Kir2.1 for flow cytometry analysis (Supplementary Fig. 7a). Initial experiments fusing Kir2.1 with the standard RELEASE construct resulted in leaky display of Kir2.1 in the absence of TEVP (Supplementary Fig. 7b). We reasoned that it is because Kir2.1 has a long cytosolic tail, and that the dilysine motif is the most effective when positioned closely to the ER membrane30,34. In contrast, another ER retention motif, RXR, is most effective when positioned distally from the membrane34. Indeed, a RELEASE construct using the RXR motif at the C-terminus improved retention (Supplementary Fig. 7), and successfully controlled its surface display using TEVP (Fig. 3d).
Kir2.1 functions as a homo-tetramer56, provoking the question of whether the RELEASE system could interfere with tetramerization and consequently channel function (Fig. 3c). Surface display of functional Kir2.1 leads to efflux of potassium ions and hyperpolarization56, providing a metric we can use to assess the its functionality. We used two reporters to measure changes in membrane potential: ASAP357 and DiSBAC2(3)58. ASAP3 is a genetically encoded voltage indicator57 that increases fluorescence as cells become hyperpolarized, while DiSBAC2(3) is a chemical dye that decreases diffusion into hyperpolarized cells, and therefore fluorescence intensity59. When Kir2.1 RELEASE was co-expressed with ASAP3, we observed a significant increase in fluorescence intensity in response to TEVP (Fig. 3e), suggesting Kir2.1 was functional. The chemical dye DiSBAC2(3) showed similar results (Fig. 3f), and the observed change in median fluorescent intensity that cells were hyperpolarized58, further corroborating that RELEASE-regulated Kir2.1 maintains its functionality.
RELEASE responds to oncogenic inputs
One of the most compelling cases for protein circuits is therapy against recalcitrant cancers. The RAS family of proteins (HRAS, KRAS, and NRAS) provide a remarkable example60,61. The activating RAS mutations (e.g. G12V, G12C, G12D…) have been implicated in a multitude of hard-to-treat cancers such as pancreatic ductal adenocarcinoma60–62 and non-small lung cancer63. The pharmacological targeting of RAS has been challenging64–66. We envision a “circuit as medicine” alternative, where an intracellularly introduced circuit interrogates the cancerous state of a cell, and conditionally lyses RAS-mutant cells, while programming cytokine secretion to activate a broader local immune response.
As a first step towards that vision, we hypothesized that we could exploit protein interaction during RAS signaling to activate RELEASE. RAS resides in the cell membrane67,68, and activated RAS recruits to the membrane effector proteins such as Raf68–70. To sense active RAS, we fused the N- and C-terminal halves of split TEVP to the RAS-binding domain (RBD) of Raf (Fig. 4a). The increased local concentration of the RBD-split TEVP sensor in response to activated RAS, due to their transition from the 3D cytosol to the more restrictive 2D membrane, was expected to facilitate the association of the protease halves through their residual mutual affinity67.
Building on our previous constructs sensing the RAS pathway7, we performed initial experiments using the active mutant HRAS-G12V and the RBD-split TEVP sensor, and observed comparable SEAP secretion with wildtype cells (endogenous HRAS activity) when regulated by TEVP-responsive RELEASE (Supplementary Fig. 8). Since HRAS-G12V reconstitutes RBD-split TEVP at the cell membrane, and cleavage of RELEASE occurs at the ER, we hypothesized that additional protease components would be required to propagate the signal from the cell membrane to the ER (Fig. 4a). Using the caged TVMVP intermediate protease (Figs. 2d, 4b—topology 1) did not improve SEAP secretion in response to HRAS-G12V, so we further hypothesized that spatial localization of the intermediate protease might be required to increase signal transduction. We first tried to increase the cleavage of the intermediate protease by bringing it closer to the TEVP input, fusing the C-terminal membrane transfer CAAX motif71 (Supplementary Fig. 9a—left panel) to one half of the caged split TVMVP (Fig. 4b—topology 2), but this did not improve SEAP secretion (Fig. 4c). We then also increased the possibility for the reconstituted intermediate protease to activate RELEASE, by fusing the uncaged other half of TVMVP with the signal anchor sequence of cytochrome p450 and therefore targeting it to the ER membrane (Fig. 4b—topology 3). This resulted in the greatest SEAP secretion in response to HRAS-G12V (Fig. 4c). After titrating down the ER-bound uncaged half of TVMVP, we reduced background and improved dynamic range (Supplementary Fig. 9b).
We then generalized the design to KRAS, the most frequently mutated RAS in cancer72. We validated that our circuit responds very similarly to KRAS-G12V and HRAS-G12V (Supplementary Fig. 9c), probably because RAS isoforms share up to 90% homology in the region where RBD binds64,73. As a control, the split TEVP sensor fused to the RBD mutant (R89L), which has a reduced affinity to activated RAS67,70, did not significantly increase SEAP secretion in response to HRAS-G12V or KRAS-G12V (Fig. 4e).
We reasoned that the choice of cell membrane-localization domains might affect baseline, because post-translational modification of CAAX initially inserts the protein at the ER membrane74, which could facilitate TVMVP reconstitution in the absence of TEVP inputs. To further reduce the background of the RAS sensor, we additionally tested the N-terminal membrane anchoring portion of the SH4 domain of Lyn and Fyn tyrosine kinases75, the cell membrane-targeting of which bypasses ER75. The Lyn and Fyn motifs reduced background SEAP secretion relative to the CAAX motif (Supplementary Fig. 9d) and enabled increased SEAP secretion without significantly increasing the background (Supplementary Fig. 9e).
The complete circuit is summarized in Fig. 4d. We observed that the circuit was responsive to the oncogenic state of KRAS, since cells secreted significantly more SEAP when overexpressing active mutants of KRAS (Fig. 4e—blue bar, Supplementary Fig. 9g) compared to overexpressing wildtype KRAS (Fig. 4e—green bar) and endogenous wildtype KRAS (Fig. 4e—red bar). The oncogenic state of KRAS also resulted in a much smaller increase in SEAP secretion when using the RBD-split TEVP R89L mutant (Fig. 4e).
Plug-and-play capabilities of RELEASE
In addition to building towards RAS detection, our RAS-centric engineering efforts also established a plug-and-play protein circuit framework. RELEASE, in conjunction with CHOMP and other protease components, enables the detection of any input that can be converted to dimerization or proteolysis. This signal can then be processed by RELEASE itself or other protease circuits to control the display or secretion of proteins (Fig. 5a).
As a proof of principle, we used the well-established MESA receptor (membrane-localized split TEVP reconstituted by rapalog)25,26,76 as an input to activate RELEASE via the intermediate protease circuit optimized above (Fig. 4c). Switching the input components to the rapalog MESA receptor, we increased SEAP secretion in response to rapalog (Fig. 5b). We also used RELEASE to control the secretion of IL-12 in response to mutant KRAS (Fig. 5c) or rapalog (Fig. 5d), and to control the surface display of Kir2.1 by rapalog (Fig. 5e).
The processing protease circuit is also modular. Specific applications of RELEASE may require a greater dynamic range or more complex dynamic secretion patterns that can be achieved by incorporating additional orthogonal proteases6,7. For example, to improve the dynamic range of the RAS-sensing circuit, we incorporated a previously established positive feedback loop based on reciprocal inhibition between TVMVP and HCVP to tune the activation threshold of TVMVP7 (Fig. 5f). When input was low or absent, HCVP would reduce the “baseline” reconstitution of TVMVP by removing the complementary CC domain (Fig. 5f—top panel). However, when there was sufficient input (KRAS-G12V+ cells), the reconstituted TVMVP would override HCVP by removing its activity-enhancing co-peptide (Fig. 5f—bottom panel). By varying the amount of HCVP transfected, we reduced the background activity and increased the dynamic range of the engineered cells containing the complete RAS circuit (Fig. 5g). These results demonstrate the possibility of tuning RELEASE with additional proteases and eventually creating more complex responses.
Discussion
Here, we introduced the generalized protease-responsive platform RELEASE to control the secretion and display of proteins (Fig. 1). RELEASE is compatible with protein-level circuit operations (Fig. 2) and enables plug-and-play control of various outputs (Figs. 3 and 5) using a variety of inputs (Figs. 4 and 5). For all these examples, we simply switched the input and output (RELEASE) components, while keeping the intermediate protease chassis intact—without any re-optimization. This highlights the modularity of using protease-based sensors, protease circuits, and RELEASE to engineer sense-and-response capabilities. In contrast to traditional small molecule-induced reporter systems, RELEASE enables close-loop control in biomedical contexts by sensing cellular states, processing the information, and actuating suitable outputs accordingly, all at the level of engineered protein circuits.
When adapting RELEASE for new applications, all one needs is a protein-mediated dimerization event that could be harnessed to reconstitute protease activity (Figs. 4a and 5a). We can therefore tap into additional synthetic receptor platforms that rely on ligand-induced dimerization, such the Generalized Extracellular Molecule Sensor (GEMS)42, or Tango77. RELEASE is also compatible with traditional gene expression systems (i.e. DOX) to form dual-input systems that offer stricter dynamic control over protein secretion or surface expression (Fig. 1f). In this work we demonstrate that one can use intermediate proteases to propagate protease signal from the cell membrane to the ER to activate RELEASE (Fig. 4a), suggesting that using alternative motifs may allow for signal propagation from other subcellular locations, such as nucleus or mitochondria, to ER. Because the components of the conventional protein secretion pathway are conserved among different cell types and species, we expect RELEASE to function in these different contexts as well. If the new application requires a faster response, we could improve the cleavage efficiency of the furin cut site of RELEASE, such as using different furin cut sites or using a protein linker with multiple furin cut sites in tandem, as furin was implicated to be a limiting factor in the speed of RELEASE (Supplementary Fig. 4c, d).
RELEASE enables therapeutic modalities. For example, we hypothesize that we can use the KRAS-sensing circuit (Fig. 4c) to selectively express immunostimulatory signals (such as IL-12, surface T-cell engagers, and anti-PD1) to mark cancer cells for T cell-mediated destruction without affecting normal cells19. The selectivity of the circuit will be further improved using additional proteases through quantitative thresholding (Fig. 5g) or logic operations. For the latter, many RAS-driven cancers harbor additional mutations in tumor suppressor proteins, such as p5378. One could use split proteases fused to nanobodies4,7 that have preferential binding to mutant p5378, to activate RELEASE only when both mutant KRAS and mutant p53 are simultaneously present, via AND logic (Fig. 2c). In this work, we validated our therapeutic circuits using HEK293 cells overexpressing active mutant (Fig. 4e). However, future studies must be completed using cancer cells harboring the active KRAS mutants (i.e. PANC 10. 05, PANC 03. 27, or LS180) to demonstrate significant differences compared to endogenous KRAS activity in healthy cells, in vitro and using in vivo xenograft models.
Delivery will be another barrier that will have to be overcome for RELEASE to be useable for cancer immunotherapy. An additional benefit of RELEASE compared to traditional synthetic circuits is that protease circuit components can be encoded within single mRNA transcripts79 that do not pose the risk of insertional mutagenesis. Furthermore, combinatorial immunomodulators have been found to be more effective than monotherapies for targeting cancer cells19. Due to the complexity and broad activity of the immune system, we anticipate that we will need to control the secretion and surface display of multiple immunostimulatory proteins, which is possible due to the modularity of RELEASE (Figs. 2b and 3b).
RELEASE will also expedite other potential therapeutic applications in fields as diverse as neurobiology, developmental biology, immunology, tissue engineering, and transplantation, to name a few. To take a third and last example, in addition to the cancer immunotherapy and neuronal silencing applications discussed above, RELEASE can be used to create sense-and-respond cells to control immunomodulating cytokines and growth factors important for graft acceptance, such as IL-1080 and TGF-β20, which cannot normally be delivered systemically due to their pleiotropic and off-target effects. Co-delivering these engineered cells with therapeutic cells, such as pancreatic islets, may be a suitable approach to create engineered tissue implants that can engraft without the need for systemic immunosuppression. The proposed plug-and-play components for sensing and secreting using RELEASE would allow for the programming of such communications with unprecedented precision.
Methods
Plasmid generation
All plasmids were constructed using general practices. Backbones were linearized via restriction digestion, and inserts were generated using PCR, or purchased from Twist Biosciences. MESA-rapalog receptor source plasmids were a generous gift from Joshua Leonard26. The plasmid containing the voltage indicator, ASAP3 was a generous gift from Michael Lin57. A complete list of plasmids used for each experiment (Supplementary Data 1) and the respective amounts used for transfections can be found in supplementary data 2. In addition, the DNA sequences of all the plasmids used in this study can be found in the source data, and all new plasmids with annotations will be available on Addgene (https://www.addgene.org/Xiaojing_Gao/).
Tissue culture
Flp-In™ T-REx™ Human Embryonic Kidney (HEK) 293 cells were purchased from Thermo Fisher Scientific (catalog# R78007). Cells were cultured in a humidity-controlled incubator under standard culture conditions (37 °C with 5% CO2) in Dulbecco’s Modified Eagle Medium (DMEM), supplemented with 10% fetal bovine serum (FBS - Fisher Scientific; catalog# FB12999102), 1 mM sodium pyruvate (EMD Millipore; catalog# TMS-005-C), 1X Pen-Strep (Genesee; catalog# 25-512), 2 mM L-glutamine (Genesee, catalog# 25-509) and 1X MEM non-essential amino acids (Genesee; catalog# 25-536). Cells tested negative for mycoplasma.
To induce expression of transiently transfected plasmids, 100 ng/mL of Doxycycline was added at the time of transfection. All measurements were taken 48 h after transient transfection, unless otherwise stated. Rapalog AP21967 (also known as A/C heterodimerizer, purchased from Takara Biosciences; catalog# 635056) is a synthetic rapamycin analog that can bind with FRB harboring the T2098L mutation, and is designed not to interfere with the native mTOR pathway81. All our constructs in this study using the FRB protein contain the T2098L mutation and were induced with 100 nM of rapalog, unless otherwise stated.
Transient transfections
HEK 293 T cells were cultured in either 24-well or 96-well tissue culture-treated plates under standard culture conditions. When cells were 70-90% confluent, the cells were transiently transfected with plasmid constructs using the jetOPTIMUS® DNA transfection Reagent (Polyplus transfection, catalog# 117-15), as per manufacturer’s instructions.
Measuring protein secretion
Secreted Alkaline Phosphatase (SEAP) Assay was performed to measure protein secretion42. Briefly, following two days after transient transfection, the supernatant was collected without disrupting the cells and heat inactivated at 70 °C for 45 min. Following heat inactivation, 10–40 μL of the supernatant was mixed with dH2O for a final volume of 80 μL, and then mixed with 100 μL of 2X SEAP buffer (20 mM homoarginine (ThermoFisher catalog# H27387), 1 mM MgCl2, and 21% (v/v) dioethanolamine (ThermoFisher, catalog# A13389)) and 20 μL of the p-nitrophenyl phosphate (PNPP, Acros Organics catalog# MFCD00066288) substrate (120 mM). Samples were measured via kinetic measurements (1 measurement/min) for a total of 30 minutes at 405 nm using a SpectraMax iD3 spectrophotometer (Molecular Devices) with the Softmax pro software (version 7.0.2).
Secreted GFP was measured by incubating cell-free supernatant with cells displaying the Gbp6 anti-GFP-binding nanobody, with mCherry fused at the C-terminus, which acted as a co-transfection marker (Supplementary Fig. 10a). The Gbp6 anti-GFP nanobody expressing cells were incubated for 2 h with supernatant from various RELEASE conditions and then analyzed using flow cytometry. To quantify changes in the amount of GFP secretion, we selected and compared the median GFP fluorescence from nanobody-displaying cells with the highest expression of the mCherry co-transfection marker. Supernatant from cells transfected that constitutively secrete SEAP, or GFP were used as negative and positive controls, respectively (Supplementary Fig. 10b).
To measure the amount of secreted IL-12, cell-free supernatant was collected and quantified using the Human IL-12p70 DuoSet ELISA (R&D Systems; catalog# DY1270), as per the manufacturer’s instructions.
Flow cytometry and data analysis
Two days after transient transfection, cells were harvested using FACS buffer (HBSS + 2.5 mg/mL of Bovine Serum Albumin (BSA)). For experiments requiring antibody staining, surface GFP was measured by incubating cells with a 1:1000 dilution of anti-GFP Dylight 405 antibody (ThermoFischer; catalog# 600-146-215) in FACS buffer for one hour at 4 °C. For experiments measuring the surface display of Kir2.1, cells were incubated with 1:500 dilution of anti-hemagglutinin antibody (HA, Abcam; catalog# ab137838), followed by incubation with 1:1000 dilution of a donkey anti-rabbit IgG conjugated to alexa-647 (Abcam, catalog# ab150075). After staining, cells were washed twice with FACS buffer and then strained using a 40 μm cell strainer. Cells were analyzed by flow cytometry (BioRad ZE5 Cell Analyzer) and Everest software (version 3.1). As previously described7, we use the EasyFlow MATLAB-based software package developed by Yaron Antebi (https://github.com/AntebiLab/easyflow.git) to process the flow cytometry data.
For analysis, we selected and compared cells with the highest expression of the co-transfection marker, which was typically mCherry (Supplementary Fig. 5). This was done to have the largest separation between basal reporter autofluorescence from cellular autofluorescence, as previously described7,26. For experiments using the Kir2.1 potassium channel, cells were either co-transfected with the voltage indicator ASAP357 or incubated with the Oxonol chemical dye, DiSBAC2(3) (20 μM in HBSS) for 5 min before performing flow cytometry58. The N-terminus of Kir2.1 was fused with mCherry, or GFP, which acted as a co-transfection marker. After gating on cells with high expression of Kir2.1, the median fluorescence intensity was used to estimate changes in membrane potential58.
Statistical analysis
Values are reported as the means from at least 3 biological replicates, which was representative from two independent biological experiments. For experiments comparing two groups, an unpaired Student’s t-test was used to assess significance, following confirmation that equal variance could be assumed (F-test). If equal variance could not be assumed, then a Welch’s correction was used. For experiments comparing three or more groups, a one-way ANOVA, or a two-way ANOVA with a post hoc Tukey test was used to compare the means among the different experimental groups. Data were considered statistically significant at a p-value of 0.05. Data are presented as average ±SEM, unless otherwise stated. All statistical analysis was performed using Prism 7.0 (GraphPad).
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
We would like to thank Dr. Lin, and Dr. Leonard for kindly sharing some of their plasmids that were used in this work. We would also like to thank Leo Scheller for providing the protocol for the SEAP assays. This work was funded by NIH (4R00EB027723-02, X.J.G), Stanford Cancer Institute (Cancer Innovation Award #216174, X.J.G.), Stanford SystemX Alliance (Seed Grant, X.J.G.), NSERC (PDF-557516-2021, A.E.V.), the International Human Frontier Science Program Organization (LT000221/2021-L, A.E.V.), and the Stanford Graduate Fellowship (J.K. and C.A.).
Source data
Author contributions
A.E.V. and X.J.G. conceived and directed the study. A.E.V, J.K, and C.A. performed most of the experiments. X.J.G. created the HRAS-sensing protease, and L.S.C and R.Z. created the protease-activated protease under M.B.E.’s supervision. A.E.V, and J.K. analyzed the data for the manuscript. A.E.V., J.K. and X.J.G. wrote the manuscript. All authors provided feedback on the manuscript.
Peer review
Peer review information
Nature Communications thanks Yingxiao Wang and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Data availability
New plasmids used in this study will be made available for distribution from Addgene (https://www.addgene.org/Xiaojing_Gao/). Annotated plasmid sequences used in this study are provided in the Source Data as GeneBank files. Raw.fcs files are available from the corresponding authors upon reasonable request. Raw experimental data and p-values for each figure are provided as Source Data. Source data are provided with this paper.
Code availability
EasyFlow MATLAB code used for flow cytometry analysis is available from the GitHub repository at https://github.com/AntebiLab/easyflow.git.
Competing interests
The board of trustees of the Leland Stanford Junior University have filed a patent on behalf of the inventors (A.E.V., J.K., and X.J.G.) of the RELEASE platform described (US provisional Application No. 63/282689). The remaining authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s41467-022-28623-y.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
New plasmids used in this study will be made available for distribution from Addgene (https://www.addgene.org/Xiaojing_Gao/). Annotated plasmid sequences used in this study are provided in the Source Data as GeneBank files. Raw.fcs files are available from the corresponding authors upon reasonable request. Raw experimental data and p-values for each figure are provided as Source Data. Source data are provided with this paper.
EasyFlow MATLAB code used for flow cytometry analysis is available from the GitHub repository at https://github.com/AntebiLab/easyflow.git.