Abstract
Sequence-specific proteases have proven to be versatile building blocks for tools that report or control cellular function. Reporting methods link protease activity to biochemical signals, whereas control methods rely on engineering proteases to respond to exogenous inputs such as light or chemicals. In turn, proteases have inherent control abilities, as their native functions are to release, activate or destroy proteins by cleavage, with the irreversibility of proteolysis allowing sustained downstream effects. As a result, protease-based synthetic circuits have been created for diverse uses such as reporting cellular signaling, tuning protein expression, controlling viral replication and detecting cancer states. Here, we comprehensively review the development and application of protease-based methods for reporting and controlling cellular function in eukaryotes.
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References
Klein, T., Eckhard, U., Dufour, A., Solis, N. & Overall, C. M. Proteolytic cleavage-mechanisms, function, and “omic” approaches for a near-ubiquitous posttranslational modification. Chem. Rev. 118, 1137–1168 (2018).
Mevissen, T. E. T. & Komander, D. Mechanisms of deubiquitinase specificity and regulation. Annu. Rev. Biochem. 86, 159–192 (2017).
Müller, J. & Johnsson, N. Split-ubiquitin and the split-protein sensors: chessman for the endgame. ChemBioChem 9, 2029–2038 (2008).
Groot, A. J. & Vooijs, M. A. The role of Adams in Notch signaling. Adv. Exp. Med. Biol. 727, 15–36 (2012).
Seegar, T. C. M. et al. Structural basis for regulated proteolysis by the α-secretase ADAM10. Cell 171, 1638–1648.e7 (2017).
Maskos, K. et al. Crystal structure of the catalytic domain of human tumor necrosis factor-alpha-converting enzyme. Proc. Natl. Acad. Sci. USA 95, 3408–3412 (1998).
Gordon, W. R. et al. Mechanical allostery: evidence for a force requirement in the proteolytic activation of Notch. Dev. Cell 33, 729–736 (2015).
Morsut, L. et al. Engineering customized cell sensing and response behaviors using synthetic Notch receptors. Cell 164, 780–791 (2016).
Seo, D. et al. A Mechanogenetic toolkit for interrogating cell signaling in space and time. Cell 165, 1507–1518 (2016).
Rodamilans, B., Shan, H., Pasin, F. & García, J. A. Plant viral proteases: beyond the role of peptide cutters. Front. Plant Sci. 9, 666 (2018).
Cesaratto, F., Burrone, O. R. & Petris, G. Tobacco Etch Virus protease: a shortcut across biotechnologies. J. Biotechnol. 231, 239–249 (2016).
Kostallas, G., Löfdahl, P. Å. & Samuelson, P. Substrate profiling of tobacco etch virus protease using a novel fluorescence-assisted whole-cell assay. PLoS One 6, e16136 (2011).
Pauli, A. et al. Cell-type-specific TEV protease cleavage reveals cohesin functions in Drosophila neurons. Dev. Cell 14, 239–251 (2008).
Uhlmann, F., Wernic, D., Poupart, M. A., Koonin, E. V. & Nasmyth, K. Cleavage of cohesin by the CD clan protease separin triggers anaphase in yeast. Cell 103, 375–386 (2000).
Barnea, G. et al. The genetic design of signaling cascades to record receptor activation. Proc. Natl. Acad. Sci. USA 105, 64–69 (2008).
Djannatian, M. S., Galinski, S., Fischer, T. M. & Rossner, M. J. Studying G protein-coupled receptor activation using split-tobacco etch virus assays. Anal. Biochem. 412, 141–152 (2011).
Sanchez, M. I. & Ting, A. Y. Directed evolution improves the catalytic efficiency of TEV protease. Nat. Methods 17, 167–117 (2020).
Fink, T. et al. Design of fast proteolysis-based signaling and logic circuits in mammalian cells. Nat. Chem. Biol. 15, 115–122 (2019).
Shiryaev, S. A. et al. New details of HCV NS3/4A proteinase functionality revealed by a high-throughput cleavage assay. PLoS One 7, e35759 (2012).
Landro, J. A. et al. Mechanistic role of an NS4A peptide cofactor with the truncated NS3 protease of hepatitis C virus: elucidation of the NS4A stimulatory effect via kinetic analysis and inhibitor mapping. Biochemistry 36, 9340–9348 (1997).
Tong, X. et al. Identification and analysis of fitness of resistance mutations against the HCV protease inhibitor SCH 503034. Antiviral Res. 70, 28–38 (2006).
Pethe, M. A., Rubenstein, A. B. & Khare, S. D. Data-driven supervised learning of a viral protease specificity landscape from deep sequencing and molecular simulations. Proc. Natl. Acad. Sci. USA 116, 168–176 (2019).
Chung, H. K. et al. A compact synthetic pathway rewires cancer signaling to therapeutic effector release. Science 364, eaat6982 (2019).
Lin, M. Z., Glenn, J. S. & Tsien, R. Y. A drug-controllable tag for visualizing newly synthesized proteins in cells and whole animals. Proc. Natl. Acad. Sci. USA 105, 7744–7749 (2008).
Schoggins, J. W. & Rice, C. M. Innate immune responses to hepatitis C virus. Curr. Top. Microbiol. Immunol. 369, 219–242 (2013).
Horner, S. M., Park, H. S. & Gale, M. Jr. Control of innate immune signaling and membrane targeting by the Hepatitis C virus NS3/4A protease are governed by the NS3 helix α0. J. Virol. 86, 3112–3120 (2012).
Zhou, X. X., Chung, H. K., Lam, A. J. & Lin, M. Z. Optical control of protein activity by fluorescent protein domains. Science 338, 810–814 (2012).
Butko, M. T. et al. Fluorescent and photo-oxidizing TimeSTAMP tags track protein fates in light and electron microscopy. Nat. Neurosci. 15, 1742–1751 (2012).
Chung, H. K. et al. Tunable and reversible drug control of protein production via a self-excising degron. Nat. Chem. Biol. 11, 713–720 (2015).
McCauley, J. A. & Rudd, M. T. Hepatitis C virus NS3/4a protease inhibitors. Curr. Opin. Pharmacol. 30, 84–92 (2016).
Shiryaev, S. A. et al. Characterization of the Zika virus two-component NS2B-NS3 protease and structure-assisted identification of allosteric small-molecule antagonists. Antiviral Res. 143, 218–229 (2017).
Lei, J. et al. Crystal structure of Zika virus NS2B-NS3 protease in complex with a boronate inhibitor. Science 353, 503–505 (2016).
Blanco, R., Carrasco, L. & Ventoso, I. Cell killing by HIV-1 protease. J. Biol. Chem. 278, 1086–1093 (2003).
Chaudhury, S. & Gray, J. J. Identification of structural mechanisms of HIV-1 protease specificity using computational peptide docking: implications for drug resistance. Structure 17, 1636–1648 (2009).
Iyer, K. et al. Utilizing the split-ubiquitin membrane yeast two-hybrid system to identify protein-protein interactions of integral membrane proteins. Sci. STKE 2005, pl3 (2005).
Johnsson, N. & Varshavsky, A. Split ubiquitin as a sensor of protein interactions in vivo. Proc. Natl. Acad. Sci. USA 91, 10340–10344 (1994).
Petschnigg, J. et al. The mammalian-membrane two-hybrid assay (MaMTH) for probing membrane-protein interactions in human cells. Nat. Methods 11, 585–592 (2014).
Wehr, M. C. et al. Monitoring regulated protein-protein interactions using split TEV. Nat. Methods 3, 985–993 (2006).
Wehr, M. C. & Rossner, M. J. Split protein biosensor assays in molecular pharmacological studies. Drug Discov. Today 21, 415–429 (2016).
Wehr, M. C., Reinecke, L., Botvinnik, A. & Rossner, M. J. Analysis of transient phosphorylation-dependent protein-protein interactions in living mammalian cells using split-TEV. BMC Biotechnol. 8, 55 (2008).
Kapust, R. B. et al. Tobacco etch virus protease: mechanism of autolysis and rational design of stable mutants with wild-type catalytic proficiency. Protein Eng. 14, 993–1000 (2001).
Gray, D. C., Mahrus, S. & Wells, J. A. Activation of specific apoptotic caspases with an engineered small-molecule-activated protease. Cell 142, 637–646 (2010).
Baeumler, T. A., Ahmed, A. A. & Fulga, T. A. Engineering synthetic signaling pathways with programmable dCas9-based chimeric receptors. Cell Reports 20, 2639–2653 (2017).
Kroeze, W. K. et al. PRESTO-Tango as an open-source resource for interrogation of the druggable human GPCRome. Nat. Struct. Mol. Biol. 22, 362–369 (2015).
Inagaki, H. K. et al. Visualizing neuromodulation in vivo: TANGO-mapping of dopamine signaling reveals appetite control of sugar sensing. Cell 148, 583–595 (2012).
Jagadish, S., Barnea, G., Clandinin, T. R. & Axel, R. Identifying functional connections of the inner photoreceptors in Drosophila using Tango-Trace. Neuron 83, 630–644 (2014).
Talay, M. et al. Transsynaptic mapping of second-order taste neurons in flies by trans-Tango. Neuron 96, 783–795.e4 (2017).
Kipniss, N. H. et al. Engineering cell sensing and responses using a GPCR-coupled CRISPR-Cas system. Nat. Commun. 8, 2212 (2017).
Schwarz, K. A., Daringer, N. M., Dolberg, T. B. & Leonard, J. N. Rewiring human cellular input-output using modular extracellular sensors. Nat. Chem. Biol. 13, 202–209 (2017).
Lee, D. et al. Temporally precise labeling and control of neuromodulatory circuits in the mammalian brain. Nat. Methods 14, 495–503 (2017).
Strickland, D. et al. TULIPs: tunable, light-controlled interacting protein tags for cell biology. Nat. Methods 9, 379–384 (2012).
Wang, W. et al. A light- and calcium-gated transcription factor for imaging and manipulating activated neurons. Nat. Biotechnol. 35, 864–871 (2017).
Kim, M. W. et al. Time-gated detection of protein-protein interactions with transcriptional readout. eLife 6, e30233 (2017).
Siciliano, V. et al. Engineering modular intracellular protein sensor-actuator devices. Nat. Commun. 9, 1881 (2018).
Cella, F., Wroblewska, L., Weiss, R. & Siciliano, V. Engineering protein-protein devices for multilayered regulation of mRNA translation using orthogonal proteases in mammalian cells. Nat. Commun. 9, 4392 (2018).
Roybal, K. T. et al. Engineering T cells with customized therapeutic response programs using synthetic Notch receptors. Cell 167, 419–432.e16 (2016).
Gao, X. J., Chong, L. S., Kim, M. S. & Elowitz, M. B. Programmable protein circuits in living cells. Science 361, 1252–1258 (2018).
Taxis, C., Stier, G., Spadaccini, R. & Knop, M. Efficient protein depletion by genetically controlled deprotection of a dormant N-degron. Mol. Syst. Biol. 5, 267 (2009).
Hanson, B. J. et al. A homogeneous fluorescent live-cell assay for measuring 7-transmembrane receptor activity and agonist functional selectivity through beta-arrestin recruitment. J. Biomol. Screen. 14, 798–810 (2009).
Dolberg, T.B. et al. Computation-guided optimization of split protein systems. Preprint at https://www.biorxiv.org/content/10.1101/863530v2 (2019).
Pratt, M. R., Schwartz, E. C. & Muir, T. W. Small-molecule-mediated rescue of protein function by an inducible proteolytic shunt. Proc. Natl. Acad. Sci. USA 104, 11209–11214 (2007).
Morgan, C. W., Diaz, J. E., Zeitlin, S. G., Gray, D. C. & Wells, J. A. Engineered cellular gene-replacement platform for selective and inducible proteolytic profiling. Proc. Natl. Acad. Sci. USA 112, 8344–8349 (2015).
Yang, Y. et al. Kinase pathway inhibition restores PSD95 induction in neurons lacking fragile X mental retardation protein. Proc. Natl. Acad. Sci. USA 116, 12007–12012 (2019).
Ahlén, G., Holmström, F., Gibbs, A., Alheim, M. & Frelin, L. Long-term functional duration of immune responses to HCV NS3/4A induced by DNA vaccination. Gene Ther. 21, 739–750 (2014).
Chen, M. et al. Human and murine antibody recognition is focused on the ATPase/helicase, but not the protease domain of the hepatitis C virus nonstructural 3 protein. Hepatology 28, 219–224 (1998).
Gerlach, J. T. et al. Minimal T-cell-stimulatory sequences and spectrum of HLA restriction of immunodominant CD4+ T-cell epitopes within hepatitis C virus NS3 and NS4 proteins. J. Virol. 79, 12425–12433 (2005).
Fay, E. J. et al. Engineered small-molecule control of influenza A virus replication. J. Virol. 93, e01677–18 (2018).
Zhu, W. et al. Precisely controlling endogenous protein dosage in hPSCs and derivatives to model FOXG1 syndrome. Nat. Commun. 10, 928 (2019).
Jacobs, C. L., Badiee, R. K. & Lin, M. Z. StaPLs: versatile genetically encoded modules for engineering drug-inducible proteins. Nat. Methods 15, 523–526 (2018).
Tague, E. P., Dotson, H. L., Tunney, S. N., Sloas, D. C. & Ngo, J. T. Chemogenetic control of gene expression and cell signaling with antiviral drugs. Nat. Methods 15, 519–522 (2018).
Dickinson, B. C., Packer, M. S., Badran, A. H. & Liu, D. R. A system for the continuous directed evolution of proteases rapidly reveals drug-resistance mutations. Nat. Commun. 5, 5352 (2014).
Shrestha, P. et al. Cell-type-specific drug-inducible protein synthesis inhibition demonstrates that memory consolidation requires rapid neuronal translation. Nat. Neurosci. 23, 281–292 (2020).
Mondal, P. et al. Repurposing protein degradation for optogenetic modulation of protein activities. ACS Synth. Biol. 8, 2585–2592 (2019).
Zhang, W. et al. Optogenetic control with a photocleavable protein, PhoCl. Nat. Methods 14, 391–394 (2017).
Agrawal, D. K. et al. Mathematical models of protease-based enzymatic biosensors. ACS Synth Biol. 9, 198–208 (2020).
Jiang, Y. et al. Discovery of danoprevir (ITMN-191/R7227), a highly selective and potent inhibitor of hepatitis C virus (HCV) NS3/4A protease. J. Med. Chem. 57, 1753–1769 (2014).
Lamarre, D. et al. An NS3 protease inhibitor with antiviral effects in humans infected with hepatitis C virus. Nature 426, 186–189 (2003).
McPhee, F. et al. Preclinical profile and characterization of the hepatitis C virus NS3 protease inhibitor asunaprevir (BMS-650032). Antimicrob. Agents Chemother. 56, 5387–5396 (2012).
Binford, S. L. et al. Conservation of amino acids in human rhinovirus 3C protease correlates with broad-spectrum antiviral activity of rupintrivir, a novel human rhinovirus 3C protease inhibitor. Antimicrob. Agents Chemother. 49, 619–626 (2005).
Gibson, T. J., Seiler, M. & Veitia, R. A. The transience of transient overexpression. Nat. Methods 10, 715–721 (2013).
Ryu, S. M., Hur, J. W. & Kim, K. Evolution of CRISPR towards accurate and efficient mammal genome engineering. BMB Rep. 52, 475–481 (2019).
Acknowledgements
We thank members of the Lin lab, M. Westberg and Y.S. Kim (all at Stanford University) for helpful discussions. This work was supported by a Stanford Discovery Innovation Award and NIH grant 1R21GM132687 to M.Z.L. H.K.C. is a Damon Runyon Fellow supported by Damon Runyon Cancer Research Foundation grant DRG-[2374-19].
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H.K.C. is an inventor on patents describing SMASh and RASER. M.Z.L. is an inventor on patents describing SMASh, StaPL and RASER.
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Chung, H.K., Lin, M.Z. On the cutting edge: protease-based methods for sensing and controlling cell biology. Nat Methods 17, 885–896 (2020). https://doi.org/10.1038/s41592-020-0891-z
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DOI: https://doi.org/10.1038/s41592-020-0891-z
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