1
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Winter DL, Wairara AR, Bennett JL, Donald WA, Glover DJ. Protein Interaction Kinetics Delimit the Performance of Phosphorylation-Driven Protein Switches. ACS Synth Biol 2024; 13:1781-1797. [PMID: 38830815 DOI: 10.1021/acssynbio.4c00101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
Post-translational modifications (PTMs) such as phosphorylation and dephosphorylation can rapidly alter protein surface chemistry and structural conformation, which can switch protein-protein interactions (PPIs) within signaling networks. Recently, de novo-designed phosphorylation-responsive protein switches have been created that harness kinase- and phosphatase-mediated phosphorylation to modulate PPIs. PTM-driven protein switches are promising tools for investigating PTM dynamics in living cells, developing biocompatible nanodevices, and engineering signaling pathways to program cell behavior. However, little is known about the physical and kinetic constraints of PTM-driven protein switches, which limits their practical application. In this study, we present a framework to evaluate two-component PTM-driven protein switches based on four performance metrics: effective concentration, dynamic range, response time, and reversibility. Our computational models reveal an intricate relationship between the binding kinetics, phosphorylation kinetics, and switch concentration that governs the sensitivity and reversibility of PTM-driven protein switches. Building upon the insights of the interaction modeling, we built and evaluated novel phosphorylation-driven protein switches consisting of phosphorylation-sensitive coiled coils as sensor domains fused to fluorescent proteins as actuator domains. By modulating the phosphorylation state of the switches with a specific protein kinase and phosphatase, we demonstrate fast, reversible transitions between "on" and "off" states. The response of the switches linearly correlated to the kinase concentration, demonstrating its potential as a biosensor for kinase measurements in real time. As intended, the switches responded to specific kinase activity with an increase in the fluorescence signal and our model could be used to distinguish between two mechanisms of switch activation: dimerization or a structural rearrangement. The protein switch kinetics model developed here should enable PTM-driven switches to be designed with ideal performance for specific applications.
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Affiliation(s)
- Daniel L Winter
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
- Synthetic Biology Future Science Platform, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT 2601, Australia
| | - Adelgisa R Wairara
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Jack L Bennett
- School of Chemistry, University of New South Wales, Sydney, NSW 2052, Australia
| | - William A Donald
- School of Chemistry, University of New South Wales, Sydney, NSW 2052, Australia
| | - Dominic J Glover
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
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2
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Li M, Tang H, Qing R, Wang Y, Liu J, Wang R, Lyu S, Ma L, Xu P, Zhang S, Tao F. Design of a water-soluble transmembrane receptor kinase with intact molecular function by QTY code. Nat Commun 2024; 15:4293. [PMID: 38858360 PMCID: PMC11164701 DOI: 10.1038/s41467-024-48513-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 05/03/2024] [Indexed: 06/12/2024] Open
Abstract
Membrane proteins are critical to biological processes and central to life sciences and modern medicine. However, membrane proteins are notoriously challenging to study, mainly owing to difficulties dictated by their highly hydrophobic nature. Previously, we reported QTY code, which is a simple method for designing water-soluble membrane proteins. Here, we apply QTY code to a transmembrane receptor, histidine kinase CpxA, to render it completely water-soluble. The designed CpxAQTY exhibits expected biophysical properties and highly preserved native molecular function, including the activities of (i) autokinase, (ii) phosphotransferase, (iii) phosphatase, and (iv) signaling receptor, involving a water-solubilized transmembrane domain. We probe the principles underlying the balance of structural stability and activity in the water-solubilized transmembrane domain. Computational approaches suggest that an extensive and dynamic hydrogen-bond network introduced by QTY code and its flexibility may play an important role. Our successful functional preservation further substantiates the robustness and comprehensiveness of QTY code.
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Affiliation(s)
- Mengke Li
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
- Laboratory of Molecular Architecture, Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Hongzhi Tang
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Rui Qing
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yanze Wang
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Jiongqin Liu
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Rui Wang
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shan Lyu
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Lina Ma
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Ping Xu
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Shuguang Zhang
- Laboratory of Molecular Architecture, Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
| | - Fei Tao
- State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
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3
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Lei R, Qing E, Odle A, Yuan M, Gunawardene CD, Tan TJC, So N, Ouyang WO, Wilson IA, Gallagher T, Perlman S, Wu NC, Wong LYR. Functional and antigenic characterization of SARS-CoV-2 spike fusion peptide by deep mutational scanning. Nat Commun 2024; 15:4056. [PMID: 38744813 PMCID: PMC11094058 DOI: 10.1038/s41467-024-48104-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 04/16/2024] [Indexed: 05/16/2024] Open
Abstract
The fusion peptide of SARS-CoV-2 spike protein is functionally important for membrane fusion during virus entry and is part of a broadly neutralizing epitope. However, sequence determinants at the fusion peptide and its adjacent regions for pathogenicity and antigenicity remain elusive. In this study, we perform a series of deep mutational scanning (DMS) experiments on an S2 region spanning the fusion peptide of authentic SARS-CoV-2 in different cell lines and in the presence of broadly neutralizing antibodies. We identify mutations at residue 813 of the spike protein that reduced TMPRSS2-mediated entry with decreased virulence. In addition, we show that an F823Y mutation, present in bat betacoronavirus HKU9 spike protein, confers resistance to broadly neutralizing antibodies. Our findings provide mechanistic insights into SARS-CoV-2 pathogenicity and also highlight a potential challenge in developing broadly protective S2-based coronavirus vaccines.
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Affiliation(s)
- Ruipeng Lei
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Enya Qing
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, IL, 60153, USA
| | - Abby Odle
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, 52242, USA
| | - Meng Yuan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Chaminda D Gunawardene
- Center for Virus-Host Innate Immunity, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA
- Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA
| | - Timothy J C Tan
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Natalie So
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
- Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Wenhao O Ouyang
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA
| | - Ian A Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, 92037, USA
- The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA, 92037, USA
| | - Tom Gallagher
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, IL, 60153, USA.
| | - Stanley Perlman
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, 52242, USA.
- Department of Pediatrics, University of Iowa, Iowa City, IA, 52242, USA.
| | - Nicholas C Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
| | - Lok-Yin Roy Wong
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA, 52242, USA.
- Center for Virus-Host Innate Immunity, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA.
- Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, NJ, 07103, USA.
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4
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Harvey SR, Gadkari VV, Ruotolo BT, Russell DH, Wysocki VH, Zhou M. Expanding Native Mass Spectrometry to the Masses. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:646-652. [PMID: 38303101 DOI: 10.1021/jasms.3c00352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
At the 33rd ASMS Sanibel Meeting, on Membrane Proteins and Their Complexes, a morning roundtable discussion was held discussing the current challenges facing the field of native mass spectrometry and approaches to expanding the field to nonexperts. This Commentary summarizes the discussion and current initiatives to address these challenges.
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Affiliation(s)
- Sophie R Harvey
- Department of Chemistry and Biochemistry, Native Mass Spectrometry Guided Structural Biology Center, The Ohio State University, Columbus, Ohio, 43210, United States
| | - Varun V Gadkari
- Department of Chemistry, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - Brandon T Ruotolo
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - David H Russell
- Department of Chemistry, Texas A&M University, College Station, Texas 77844, United States
| | - Vicki H Wysocki
- Department of Chemistry and Biochemistry, Native Mass Spectrometry Guided Structural Biology Center, The Ohio State University, Columbus, Ohio, 43210, United States
| | - Mowei Zhou
- Department of Chemistry, Zhejiang University, Hangzhou, Zhejiang 310058, China
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5
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Ertelt M, Mulligan VK, Maguire JB, Lyskov S, Moretti R, Schiffner T, Meiler J, Schoeder CT. Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins. PLoS Comput Biol 2024; 20:e1011939. [PMID: 38484014 DOI: 10.1371/journal.pcbi.1011939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 03/26/2024] [Accepted: 02/20/2024] [Indexed: 03/27/2024] Open
Abstract
Post-translational modifications (PTMs) of proteins play a vital role in their function and stability. These modifications influence protein folding, signaling, protein-protein interactions, enzyme activity, binding affinity, aggregation, degradation, and much more. To date, over 400 types of PTMs have been described, representing chemical diversity well beyond the genetically encoded amino acids. Such modifications pose a challenge to the successful design of proteins, but also represent a major opportunity to diversify the protein engineering toolbox. To this end, we first trained artificial neural networks (ANNs) to predict eighteen of the most abundant PTMs, including protein glycosylation, phosphorylation, methylation, and deamidation. In a second step, these models were implemented inside the computational protein modeling suite Rosetta, which allows flexible combination with existing protocols to model the modified sites and understand their impact on protein stability as well as function. Lastly, we developed a new design protocol that either maximizes or minimizes the predicted probability of a particular site being modified. We find that this combination of ANN prediction and structure-based design can enable the modification of existing, as well as the introduction of novel, PTMs. The potential applications of our work include, but are not limited to, glycan masking of epitopes, strengthening protein-protein interactions through phosphorylation, as well as protecting proteins from deamidation liabilities. These applications are especially important for the design of new protein therapeutics where PTMs can drastically change the therapeutic properties of a protein. Our work adds novel tools to Rosetta's protein engineering toolbox that allow for the rational design of PTMs.
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Affiliation(s)
- Moritz Ertelt
- Institute for Drug Discovery, Leipzig University Medical Faculty, Leipzig, Germany
- Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Dresden/Leipzig, Germany
| | - Vikram Khipple Mulligan
- Center for Computational Biology, Flatiron Institute, New York, New York, United States of America
| | - Jack B Maguire
- Program in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Sergey Lyskov
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Rocco Moretti
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee, United States of America
- Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Torben Schiffner
- Institute for Drug Discovery, Leipzig University Medical Faculty, Leipzig, Germany
| | - Jens Meiler
- Institute for Drug Discovery, Leipzig University Medical Faculty, Leipzig, Germany
- Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Dresden/Leipzig, Germany
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee, United States of America
- Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Clara T Schoeder
- Institute for Drug Discovery, Leipzig University Medical Faculty, Leipzig, Germany
- Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI, Dresden/Leipzig, Germany
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6
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Rihtar E, Fink T, Jerala R. Coiled-Coil Interaction Toolbox for Engineering Mammalian Cells. Methods Mol Biol 2024; 2774:31-41. [PMID: 38441756 DOI: 10.1007/978-1-0716-3718-0_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024]
Abstract
Protein interactions play a crucial role in a variety of biological processes. Therefore, regulation of these interactions has received considerable attention in terms of synthetic biology tool development. Of those, a toolbox of small peptides known as coiled coils (CCs) represents a unique effective tool for mediating protein-protein interactions because their binding specificity and affinity can be designed and controlled. CC peptides have been used as a building module for designing synthetic regulatory circuits in mammalian cells, construction of fast response to a signal, amplification of the response, and localization and regulation of function of diverse proteins. In this chapter, we describe a designed set of CCs used for mammalian cell engineering and provide a protocol for the construction of CC-mediated logic circuits in mammalian cells. Ultimately, these tools could be used for diverse biotechnological and therapeutic applications.
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Affiliation(s)
- Erik Rihtar
- National Institute of Chemistry, Department of Synthetic Biology and Immunology, Ljubljana, Slovenia
| | - Tina Fink
- National Institute of Chemistry, Department of Synthetic Biology and Immunology, Ljubljana, Slovenia
| | - Roman Jerala
- National Institute of Chemistry, Department of Synthetic Biology and Immunology, Ljubljana, Slovenia.
- EN-FIST Centre of Excellence, Ljubljana, Slovenia.
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7
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Hsiao J, Deng LC, Moroz LL, Chalasani SH, Edsinger E. Ocean to Tree: Leveraging Single-Molecule RNA-Seq to Repair Genome Gene Models and Improve Phylogenomic Analysis of Gene and Species Evolution. Methods Mol Biol 2024; 2757:461-490. [PMID: 38668979 PMCID: PMC11112408 DOI: 10.1007/978-1-0716-3642-8_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Understanding gene evolution across genomes and organisms, including ctenophores, can provide unexpected biological insights. It enables powerful integrative approaches that leverage sequence diversity to advance biomedicine. Sequencing and bioinformatic tools can be inexpensive and user-friendly, but numerous options and coding can intimidate new users. Distinct challenges exist in working with data from diverse species but may go unrecognized by researchers accustomed to gold-standard genomes. Here, we provide a high-level workflow and detailed pipeline to enable animal collection, single-molecule sequencing, and phylogenomic analysis of gene and species evolution. As a demonstration, we focus on (1) PacBio RNA-seq of the genome-sequenced ctenophore Mnemiopsis leidyi, (2) diversity and evolution of the mechanosensitive ion channel Piezo in genetic models and basal-branching animals, and (3) associated challenges and solutions to working with diverse species and genomes, including gene model updating and repair using single-molecule RNA-seq. We provide a Python Jupyter Notebook version of our pipeline (GitHub Repository: Ctenophore-Ocean-To-Tree-2023 https://github.com/000generic/Ctenophore-Ocean-To-Tree-2023 ) that can be run for free in the Google Colab cloud to replicate our findings or modified for specific or greater use. Our protocol enables users to design new sequencing projects in ctenophores, marine invertebrates, or other novel organisms. It provides a simple, comprehensive platform that can ease new user entry into running their evolutionary sequence analyses.
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Affiliation(s)
- Jan Hsiao
- Molecular Neurobiology Laboratory, Salk Institute for Biological Study, La Jolla, CA 92037
| | - Lola Chenxi Deng
- Molecular Neurobiology Laboratory, Salk Institute for Biological Study, La Jolla, CA 92037
| | - Leonid L. Moroz
- Whitney Laboratory for Marine Bioscience, University of Florida, St. Augustine, FL, 32080
- Department of Neuroscience and McKnight Brain Institute, University of Florida, Gainesville, FL32611
| | - Sreekanth H. Chalasani
- Molecular Neurobiology Laboratory, Salk Institute for Biological Study, La Jolla, CA 92037
| | - Eric Edsinger
- Molecular Neurobiology Laboratory, Salk Institute for Biological Study, La Jolla, CA 92037
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8
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Lei R, Qing E, Odle A, Yuan M, Tan TJ, So N, Ouyang WO, Wilson IA, Gallagher T, Perlman S, Wu NC, Wong LYR. Functional and antigenic characterization of SARS-CoV-2 spike fusion peptide by deep mutational scanning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.28.569051. [PMID: 38076875 PMCID: PMC10705381 DOI: 10.1101/2023.11.28.569051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The fusion peptide of SARS-CoV-2 spike protein is functionally important for membrane fusion during virus entry and is part of a broadly neutralizing epitope. However, sequence determinants at the fusion peptide and its adjacent regions for pathogenicity and antigenicity remain elusive. In this study, we performed a series of deep mutational scanning (DMS) experiments on an S2 region spanning the fusion peptide of authentic SARS-CoV-2 in different cell lines and in the presence of broadly neutralizing antibodies. We identified mutations at residue 813 of the spike protein that reduced TMPRSS2-mediated entry with decreased virulence. In addition, we showed that an F823Y mutation, present in bat betacoronavirus HKU9 spike protein, confers resistance to broadly neutralizing antibodies. Our findings provide mechanistic insights into SARS-CoV-2 pathogenicity and also highlight a potential challenge in developing broadly protective S2-based coronavirus vaccines.
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Affiliation(s)
- Ruipeng Lei
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Enya Qing
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, IL 60153, USA
| | - Abby Odle
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA 52242, USA
| | - Meng Yuan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Timothy J.C. Tan
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Natalie So
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Wenhao O. Ouyang
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Ian A. Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
- The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Tom Gallagher
- Department of Microbiology and Immunology, Loyola University Chicago, Maywood, IL 60153, USA
| | - Stanley Perlman
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA 52242, USA
- Department of Pediatrics, University of Iowa, Iowa City, IA 52242, USA
| | - Nicholas C. Wu
- Department of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Lok-Yin Roy Wong
- Department of Microbiology and Immunology, University of Iowa, Iowa City, IA 52242, USA
- Center for Virus-Host-Innate Immunity, Rutgers New Jersey Medical School, Newark, NJ 07103, USA
- Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, NJ 07103, USA
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9
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Yang X, Rocks JW, Jiang K, Walters AJ, Rai K, Liu J, Nguyen J, Olson SD, Mehta P, Collins JJ, Daringer NM, Bashor CJ. Engineering synthetic phosphorylation signaling networks in human cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.11.557100. [PMID: 37745327 PMCID: PMC10515791 DOI: 10.1101/2023.09.11.557100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Protein phosphorylation signaling networks play a central role in how cells sense and respond to their environment. Here, we describe the engineering of artificial phosphorylation networks in which "push-pull" motifs-reversible enzymatic phosphorylation cycles consisting of opposing kinase and phosphatase activities-are assembled from modular protein domain parts and then wired together to create synthetic phosphorylation circuits in human cells. We demonstrate that the composability of our design scheme enables model-guided tuning of circuit function and the ability to make diverse network connections; synthetic phosphorylation circuits can be coupled to upstream cell surface receptors to enable fast-timescale sensing of extracellular ligands, while downstream connections can regulate gene expression. We leverage these capabilities to engineer cell-based cytokine controllers that dynamically sense and suppress activated T cells. Our work introduces a generalizable approach for designing and building phosphorylation signaling circuits that enable user-defined sense-and-respond function for diverse biosensing and therapeutic applications.
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Affiliation(s)
- Xiaoyu Yang
- Department of Bioengineering, Rice University; Houston, TX 77030, USA
- Graduate Program in Systems, Synthetic and Physical Biology, Rice University; Houston, TX 77030, USA
| | - Jason W. Rocks
- Department of Physics, Boston University; Boston, MA 02215, USA
| | - Kaiyi Jiang
- Department of Bioengineering, Rice University; Houston, TX 77030, USA
| | - Andrew J. Walters
- Department of Bioengineering, Rice University; Houston, TX 77030, USA
- Graduate Program in Bioengineering, Rice University; Houston, TX 77030, USA
- Department of Pediatric Surgery, McGovern Medical School, University of Texas Health Science Center at Houston; Houston, TX 77030, USA
| | - Kshitij Rai
- Graduate Program in Systems, Synthetic and Physical Biology, Rice University; Houston, TX 77030, USA
| | - Jing Liu
- Department of Bioengineering, Rice University; Houston, TX 77030, USA
| | - Jason Nguyen
- Department of Bioengineering, Rice University; Houston, TX 77030, USA
| | - Scott D. Olson
- Department of Pediatric Surgery, McGovern Medical School, University of Texas Health Science Center at Houston; Houston, TX 77030, USA
| | - Pankaj Mehta
- Department of Physics, Boston University; Boston, MA 02215, USA
- Biological Design Center, Boston University; Boston, MA 02215, USA
- Faculty of Computing and Data Science, Boston University; Boston, MA 02215, USA
| | - James J. Collins
- Institute for Medical Engineering and Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology; Cambridge, MA 02139, USA
- Broad Institute of MIT and Harvard; Cambridge, MA 02142, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University; Boston, MA 02115, USA
| | - Nichole M Daringer
- Department of Biomedical Engineering, Rowan University; Glassboro, NJ 08028, USA
| | - Caleb J. Bashor
- Department of Bioengineering, Rice University; Houston, TX 77030, USA
- Department of Biosciences, Rice University; Houston, TX 77030, USA
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10
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d'Amone L, Matzeu G, Quijano-Rubio A, Callahan GP, Napier B, Baker D, Omenetto FG. Reshaping de Novo Protein Switches into Bioresponsive Materials for Biomarker, Toxin, and Viral Detection. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2208556. [PMID: 36493355 DOI: 10.1002/adma.202208556] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 11/14/2022] [Indexed: 06/17/2023]
Abstract
De novo designed protein switches are powerful tools to specifically and sensitively detect diverse targets with simple chemiluminescent readouts. Finding an appropriate material host for de novo designed protein switches without altering their thermodynamics while preserving their intrinsic stability over time would enable the development of a variety of sensing formats to monitor exposure to pathogens, toxins, and for disease diagnosis. Here, a de novo protein-biopolymer hybrid that maintains the detection capabilities induced by the conformational change of the incorporated proteins in response to analytes of interest is generated in multiple, shelf-stable material formats without the need of refrigerated storage conditions. A set of functional demonstrator devices including personal protective equipment such as masks and laboratory gloves, free-standing films, air quality monitors, and wearable devices is presented to illustrate the versatility of the approach. Such formats are designed to be responsive to human epidermal growth factor receptor (HER2), anti-hepatitis B (HBV) antibodies, Botulinum neurotoxin B (BoNT/B), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This combination of form and function offers wide opportunities for ubiquitous sensing in multiple environments by enabling a large class of bio-responsive interfaces of broad utility.
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Affiliation(s)
- Luciana d'Amone
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - Giusy Matzeu
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - Alfredo Quijano-Rubio
- Department of Biochemistry, Institute for Protein Design, University of Washington, Seattle, WA, 98195, USA
- Department of Bioengineering, University of Washington, Seattle, WA, 98195, USA
| | - Gregory P Callahan
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - Bradley Napier
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
| | - David Baker
- Department of Biochemistry, Institute for Protein Design, University of Washington, Seattle, WA, 98195, USA
- Department of Bioengineering, University of Washington, Seattle, WA, 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, 98195, USA
| | - Fiorenzo G Omenetto
- Department of Biomedical Engineering, Tufts University, Medford, MA, 02155, USA
- Department of Physics, Tufts University, Medford, MA, 02155, USA
- Laboratory for Living Devices, Tufts University, Medford, MA, 02155, USA
- Department of Electrical and Computer Engineering, Tufts University, Medford, MA, 02155, USA
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11
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Wang S, Garcia-Ojalvo J, Elowitz MB. Periodic spatial patterning with a single morphogen. Cell Syst 2022; 13:1033-1047.e7. [PMID: 36435178 DOI: 10.1016/j.cels.2022.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 07/13/2022] [Accepted: 11/02/2022] [Indexed: 11/26/2022]
Abstract
During multicellular development, periodic spatial patterning systems generate repetitive structures, such as digits, vertebrae, and teeth. Turing patterning provides a foundational paradigm for understanding such systems. The simplest Turing systems are believed to require at least two morphogens to generate periodic patterns. Here, using mathematical modeling, we show that a simpler circuit, including only a single diffusible morphogen, is sufficient to generate long-range, spatially periodic patterns that propagate outward from transient initiating perturbations and remain stable after the perturbation is removed. Furthermore, an additional bistable intracellular feedback or operation on a growing cell lattice can make patterning robust to noise. Together, these results show that a single morphogen can be sufficient for robust spatial pattern formation and should provide a foundation for engineering pattern formation in the emerging field of synthetic developmental biology.
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Affiliation(s)
- Sheng Wang
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Jordi Garcia-Ojalvo
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Michael B Elowitz
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA; Howard Hughes Medical Institute, California Institute of Technology, Pasadena, CA 91125, USA.
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12
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Engineered Allosteric Regulation of Protein Function. J Mol Biol 2022; 434:167620. [PMID: 35513109 DOI: 10.1016/j.jmb.2022.167620] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 03/27/2022] [Accepted: 04/26/2022] [Indexed: 11/20/2022]
Abstract
Allosteric regulation of proteins has been utilized to study various aspects of cell signaling, from unicellular events to organism-wide phenotypes. However, traditional methods of allosteric regulation, such as constitutively active mutants and inhibitors, lack tight spatiotemporal control. This often leads to unintended signaling consequences that interfere with data interpretation. To overcome these obstacles, researchers employed protein engineering approaches that enable tight control of protein function through allosteric mechanisms. These methods provide high specificity as well as spatial and temporal precision in regulation of protein activity in vitro and in vivo. In this review, we focus on the recent advancements in engineered allosteric regulation and discuss the various bioengineered allosteric techniques available now, from chimeric GPCRs to chemogenetic and optogenetic switches. We highlight the benefits and pitfalls of each of these techniques as well as areas in which future improvements can be made. Additionally, we provide a brief discussion on implementation of engineered allosteric regulation approaches, demonstrating that these tools can shed light on elusive biological events and have the potential to be utilized in precision medicine.
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13
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Sowlati-Hashjin S, Gandhi A, Garton M. Dawn of a New Era for Membrane Protein Design. BIODESIGN RESEARCH 2022; 2022:9791435. [PMID: 37850134 PMCID: PMC10521746 DOI: 10.34133/2022/9791435] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/20/2022] [Indexed: 10/19/2023] Open
Abstract
A major advancement has recently occurred in the ability to predict protein secondary structure from sequence using artificial neural networks. This new accessibility to high-quality predicted structures provides a big opportunity for the protein design community. It is particularly welcome for membrane protein design, where the scarcity of solved structures has been a major limitation of the field for decades. Here, we review the work done to date on the membrane protein design and set out established and emerging tools that can be used to most effectively exploit this new access to structures.
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Affiliation(s)
- Shahin Sowlati-Hashjin
- Institute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, Canada, M5S 3E2
| | - Aanshi Gandhi
- Institute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, Canada, M5S 3E2
| | - Michael Garton
- Institute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, Canada, M5S 3E2
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14
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ElGamacy M. Accelerating therapeutic protein design. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2022; 130:85-118. [PMID: 35534117 DOI: 10.1016/bs.apcsb.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Protein structures provide for defined microenvironments that can support complex pharmacological functions, otherwise unachievable by small molecules. The advent of therapeutic proteins has thus greatly broadened the range of manageable disorders. Leveraging the knowledge and recent advances in de novo protein design methods has the prospect of revolutionizing how protein drugs are discovered and developed. This review lays out the main challenges facing therapeutic proteins discovery and development, and how present and future advancements of protein design can accelerate the protein drug pipelines.
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Affiliation(s)
- Mohammad ElGamacy
- University Hospital Tübingen, Division of Translational Oncology, Tübingen, Germany; Max Planck Institute for Biology, Tübingen, Germany.
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15
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Biosupramolecular networks: Taking inspiration from nature to create powerful synthetic platforms. Curr Opin Chem Biol 2021; 66:102104. [PMID: 34936943 DOI: 10.1016/j.cbpa.2021.102104] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 11/10/2021] [Accepted: 11/18/2021] [Indexed: 12/19/2022]
Abstract
Nature is predicated on the ability to process large number of parallel signals to produce specific downstream outputs. Biosupramolecular networks are beginning to allow such processing power in synthetic systems, particularly through harnessing the recognition power of biomolecules. Such systems can be summarised through the reductionist view of containing inputs, circuitry motifs and functional outputs, with each of these elements able to be readily combined in a modular approach. Through the inherent 'plug and play' nature of these systems the field continues to rapidly expand, providing a wealth of new smart diagnostic and therapeutic systems.
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