1
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Chang-Gonzalez AC, Akitsu A, Mallis RJ, Lang MJ, Reinherz EL, Hwang W. Load-based divergence in the dynamic allostery of two TCRs recognizing the same pMHC. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.16.618634. [PMID: 39464111 PMCID: PMC11507873 DOI: 10.1101/2024.10.16.618634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/29/2024]
Abstract
Increasing evidence suggests that mechanical load on the αβ T cell receptor (TCR) is crucial for recognizing the antigenic peptide-loaded major histocompatibility complex (pMHC) molecule. Our recent all-atom molecular dynamics (MD) simulations revealed that the inter-domain motion of the TCR is responsible for the load-induced catch bond behavior of the TCR-pMHC complex and peptide discrimination. To further examine the generality of the mechanism, we perform all-atom MD simulations of the B7 TCR under different conditions for comparison with our previous simulations of the A6 TCR. The two TCRs recognize the same pMHC and have similar interfaces with pMHC in crystal structures. We find that the B7 TCR-pMHC interface stabilizes under ~15-pN load using a conserved dynamic allostery mechanism that involves the asymmetric motion of the TCR chassis. However, despite forming comparable contacts with pMHC as A6 in the crystal structure, B7 has fewer high-occupancy contacts with pMHC during the simulation. These results suggest that the dynamic allostery common to the TCRαβ chassis can amplify slight differences in interfacial contacts into distinctive mechanical responses and potentially nuanced biological outcomes.
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Affiliation(s)
- Ana C. Chang-Gonzalez
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA
| | - Aoi Akitsu
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Robert J. Mallis
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Dermatology, Harvard Medical School, Boston, MA, USA
| | - Matthew J. Lang
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN, USA
| | - Ellis L. Reinherz
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Wonmuk Hwang
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA
- Department of Materials Science & Engineering, Texas A&M University, College Station, TX, USA
- Department of Physics & Astronomy, Texas A&M University, College Station, TX, USA
- Center for AI and Natural Sciences, Korea Institute for Advanced Study, Seoul, Republic of Korea
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2
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Hwang W, Austin SL, Blondel A, Boittier ED, Boresch S, Buck M, Buckner J, Caflisch A, Chang HT, Cheng X, Choi YK, Chu JW, Crowley MF, Cui Q, Damjanovic A, Deng Y, Devereux M, Ding X, Feig MF, Gao J, Glowacki DR, Gonzales JE, Hamaneh MB, Harder ED, Hayes RL, Huang J, Huang Y, Hudson PS, Im W, Islam SM, Jiang W, Jones MR, Käser S, Kearns FL, Kern NR, Klauda JB, Lazaridis T, Lee J, Lemkul JA, Liu X, Luo Y, MacKerell AD, Major DT, Meuwly M, Nam K, Nilsson L, Ovchinnikov V, Paci E, Park S, Pastor RW, Pittman AR, Post CB, Prasad S, Pu J, Qi Y, Rathinavelan T, Roe DR, Roux B, Rowley CN, Shen J, Simmonett AC, Sodt AJ, Töpfer K, Upadhyay M, van der Vaart A, Vazquez-Salazar LI, Venable RM, Warrensford LC, Woodcock HL, Wu Y, Brooks CL, Brooks BR, Karplus M. CHARMM at 45: Enhancements in Accessibility, Functionality, and Speed. J Phys Chem B 2024; 128:9976-10042. [PMID: 39303207 PMCID: PMC11492285 DOI: 10.1021/acs.jpcb.4c04100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 08/15/2024] [Accepted: 08/22/2024] [Indexed: 09/22/2024]
Abstract
Since its inception nearly a half century ago, CHARMM has been playing a central role in computational biochemistry and biophysics. Commensurate with the developments in experimental research and advances in computer hardware, the range of methods and applicability of CHARMM have also grown. This review summarizes major developments that occurred after 2009 when the last review of CHARMM was published. They include the following: new faster simulation engines, accessible user interfaces for convenient workflows, and a vast array of simulation and analysis methods that encompass quantum mechanical, atomistic, and coarse-grained levels, as well as extensive coverage of force fields. In addition to providing the current snapshot of the CHARMM development, this review may serve as a starting point for exploring relevant theories and computational methods for tackling contemporary and emerging problems in biomolecular systems. CHARMM is freely available for academic and nonprofit research at https://academiccharmm.org/program.
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Affiliation(s)
- Wonmuk Hwang
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
- Department
of Materials Science and Engineering, Texas
A&M University, College Station, Texas 77843, United States
- Department
of Physics and Astronomy, Texas A&M
University, College Station, Texas 77843, United States
- Center for
AI and Natural Sciences, Korea Institute
for Advanced Study, Seoul 02455, Republic
of Korea
| | - Steven L. Austin
- Department
of Chemistry, University of South Florida, Tampa, Florida 33620, United States
| | - Arnaud Blondel
- Institut
Pasteur, Université Paris Cité, CNRS UMR3825, Structural
Bioinformatics Unit, 28 rue du Dr. Roux F-75015 Paris, France
| | - Eric D. Boittier
- Department
of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland
| | - Stefan Boresch
- Faculty of
Chemistry, Department of Computational Biological Chemistry, University of Vienna, Wahringerstrasse 17, 1090 Vienna, Austria
| | - Matthias Buck
- Department
of Physiology and Biophysics, Case Western
Reserve University, School of Medicine, Cleveland, Ohio 44106, United States
| | - Joshua Buckner
- Department
of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Amedeo Caflisch
- Department
of Biochemistry, University of Zürich, CH-8057 Zürich, Switzerland
| | - Hao-Ting Chang
- Institute
of Bioinformatics and Systems Biology, National
Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan, ROC
| | - Xi Cheng
- Shanghai
Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Yeol Kyo Choi
- Department
of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Jhih-Wei Chu
- Institute
of Bioinformatics and Systems Biology, Department of Biological Science
and Technology, Institute of Molecular Medicine and Bioengineering,
and Center for Intelligent Drug Systems and Smart Bio-devices (IDSB), National Yang Ming Chiao Tung
University, Hsinchu 30010, Taiwan,
ROC
| | - Michael F. Crowley
- Renewable
Resources and Enabling Sciences Center, National Renewable Energy Laboratory, Golden, Colorado 80401, United States
| | - Qiang Cui
- Department
of Chemistry, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, United States
- Department
of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, United States
- Department
of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, Massachusetts 02215, United States
| | - Ana Damjanovic
- Department
of Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, United States
- Department
of Physics and Astronomy, Johns Hopkins
University, Baltimore, Maryland 21218, United States
- Laboratory
of Computational Biology, National Heart
Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Yuqing Deng
- Shanghai
R&D Center, DP Technology, Ltd., Shanghai 201210, China
| | - Mike Devereux
- Department
of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland
| | - Xinqiang Ding
- Department
of Chemistry, Tufts University, Medford, Massachusetts 02155, United States
| | - Michael F. Feig
- Department
of Biochemistry and Molecular Biology, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Jiali Gao
- School
of Chemical Biology & Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, Guangdong 518055, China
- Institute
of Systems and Physical Biology, Shenzhen
Bay Laboratory, Shenzhen, Guangdong 518055, China
- Department
of Chemistry and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455, United States
| | - David R. Glowacki
- CiTIUS
Centro Singular de Investigación en Tecnoloxías Intelixentes
da USC, 15705 Santiago de Compostela, Spain
| | - James E. Gonzales
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
- Laboratory
of Computational Biology, National Heart
Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Mehdi Bagerhi Hamaneh
- Department
of Physiology and Biophysics, Case Western
Reserve University, School of Medicine, Cleveland, Ohio 44106, United States
| | | | - Ryan L. Hayes
- Department
of Chemical and Biomolecular Engineering, University of California, Irvine, Irvine, California 92697, United States
- Department
of Pharmaceutical Sciences, University of
California, Irvine, Irvine, California 92697, United States
| | - Jing Huang
- Key Laboratory
of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Yandong Huang
- College
of Computer Engineering, Jimei University, Xiamen 361021, China
| | - Phillip S. Hudson
- Department
of Chemistry, University of South Florida, Tampa, Florida 33620, United States
- Medicine
Design, Pfizer Inc., Cambridge, Massachusetts 02139, United States
| | - Wonpil Im
- Department
of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Shahidul M. Islam
- Department
of Chemistry, Delaware State University, Dover, Delaware 19901, United States
| | - Wei Jiang
- Computational
Science Division, Argonne National Laboratory, Argonne, Illinois 60439, United States
| | - Michael R. Jones
- Laboratory
of Computational Biology, National Heart
Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Silvan Käser
- Department
of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland
| | - Fiona L. Kearns
- Department
of Chemistry, University of South Florida, Tampa, Florida 33620, United States
| | - Nathan R. Kern
- Department
of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Jeffery B. Klauda
- Department
of Chemical and Biomolecular Engineering, Institute for Physical Science
and Technology, Biophysics Program, University
of Maryland, College Park, Maryland 20742, United States
| | - Themis Lazaridis
- Department
of Chemistry, City College of New York, New York, New York 10031, United States
| | - Jinhyuk Lee
- Disease
Target Structure Research Center, Korea
Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea
- Department
of Bioinformatics, KRIBB School of Bioscience, University of Science and Technology, Daejeon 34141, Republic of Korea
| | - Justin A. Lemkul
- Department
of Biochemistry, Virginia Polytechnic Institute
and State University, Blacksburg, Virginia 24061, United States
| | - Xiaorong Liu
- Department
of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Yun Luo
- Department
of Biotechnology and Pharmaceutical Sciences, College of Pharmacy, Western University of Health Sciences, Pomona, California 91766, United States
| | - Alexander D. MacKerell
- Department
of Pharmaceutical Sciences, University of
Maryland School of Pharmacy, Baltimore, Maryland 21201, United States
| | - Dan T. Major
- Department
of Chemistry and Institute for Nanotechnology & Advanced Materials, Bar-Ilan University, Ramat-Gan 52900, Israel
| | - Markus Meuwly
- Department
of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland
- Department
of Chemistry, Brown University, Providence, Rhode Island 02912, United States
| | - Kwangho Nam
- Department
of Chemistry and Biochemistry, University
of Texas at Arlington, Arlington, Texas 76019, United States
| | - Lennart Nilsson
- Karolinska
Institutet, Department of Biosciences and
Nutrition, SE-14183 Huddinge, Sweden
| | - Victor Ovchinnikov
- Harvard
University, Department of Chemistry
and Chemical Biology, Cambridge, Massachusetts 02138, United States
| | - Emanuele Paci
- Dipartimento
di Fisica e Astronomia, Universitá
di Bologna, Bologna 40127, Italy
| | - Soohyung Park
- Department
of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Richard W. Pastor
- Laboratory
of Computational Biology, National Heart
Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Amanda R. Pittman
- Department
of Chemistry, University of South Florida, Tampa, Florida 33620, United States
| | - Carol Beth Post
- Borch Department
of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, Indiana 47907, United States
| | - Samarjeet Prasad
- Laboratory
of Computational Biology, National Heart
Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Jingzhi Pu
- Department
of Chemistry and Chemical Biology, Indiana
University Indianapolis, Indianapolis, Indiana 46202, United States
| | - Yifei Qi
- School
of Pharmacy, Fudan University, Shanghai 201203, China
| | | | - Daniel R. Roe
- Laboratory
of Computational Biology, National Heart
Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Benoit Roux
- Department
of Chemistry, University of Chicago, Chicago, Illinois 60637, United States
| | | | - Jana Shen
- Department
of Pharmaceutical Sciences, University of
Maryland School of Pharmacy, Baltimore, Maryland 21201, United States
| | - Andrew C. Simmonett
- Laboratory
of Computational Biology, National Heart
Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Alexander J. Sodt
- Eunice
Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Kai Töpfer
- Department
of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland
| | - Meenu Upadhyay
- Department
of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland
| | - Arjan van der Vaart
- Department
of Chemistry, University of South Florida, Tampa, Florida 33620, United States
| | | | - Richard M. Venable
- Laboratory
of Computational Biology, National Heart
Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Luke C. Warrensford
- Department
of Chemistry, University of South Florida, Tampa, Florida 33620, United States
| | - H. Lee Woodcock
- Department
of Chemistry, University of South Florida, Tampa, Florida 33620, United States
| | - Yujin Wu
- Department
of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Charles L. Brooks
- Department
of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Bernard R. Brooks
- Laboratory
of Computational Biology, National Heart
Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
| | - Martin Karplus
- Harvard
University, Department of Chemistry
and Chemical Biology, Cambridge, Massachusetts 02138, United States
- Laboratoire
de Chimie Biophysique, ISIS, Université
de Strasbourg, 67000 Strasbourg, France
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3
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Fritzsche M, Kruse K. Mechanical force matters in early T cell activation. Proc Natl Acad Sci U S A 2024; 121:e2404748121. [PMID: 39240966 PMCID: PMC11406235 DOI: 10.1073/pnas.2404748121] [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: 09/08/2024] Open
Abstract
Mechanical force has repeatedly been highlighted to be involved in T cell activation. However, the biological significance of mechanical force for T cell receptor signaling remains under active consideration. Here, guided by theoretical analysis, we provide a perspective on how mechanical forces between a T cell and an antigen-presenting cell can influence the bond of a single T cell receptor major histocompatibility complex during early T cell activation. We point out that the lifetime of T cell receptor bonds and thus the degree of their phosphorylation which is essential for T cell activation depends considerably on the T cell receptor rigidity and the average magnitude and frequency of an applied oscillatory force. Such forces could be, for example, produced by protrusions like microvilli during early T cell activation or invadosomes during full T cell activation. These features are suggestive of mechanical force being exploited by T cells to advance self-nonself discrimination in early T cell activation.
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Affiliation(s)
- Marco Fritzsche
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Kennedy Institute of Rheumatology, University of Oxford, Oxford OX37FY, United Kingdom
- Rosalind Franklin Institute, Harwell Campus, Didcot OX11 0FA, United Kingdom
| | - Karsten Kruse
- Department of Biochemistry, University of Geneva, Geneva 1205, Switzerland
- Department of Theoretical Physics, University of Geneva, Geneva 1205, Switzerland
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4
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Nelson AD, Wang L, Laffey KG, Becher LRE, Parks CA, Hoffmann MM, Galeano BK, Mangalam A, Teixeiro E, White TA, Schrum AG, Cannon JF, Gil D. Rigid crosslinking of the CD3 complex leads to superior T cell stimulation. Front Immunol 2024; 15:1434463. [PMID: 39281668 PMCID: PMC11392757 DOI: 10.3389/fimmu.2024.1434463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 08/07/2024] [Indexed: 09/18/2024] Open
Abstract
Functionally bivalent non-covalent Fab dimers (Bi-Fabs) specific for the TCR/CD3 complex promote CD3 signaling on T cells. While comparing functional responses to stimulation with Bi-Fab, F(ab')2 or mAb specific for the same CD3 epitope, we observed fratricide requiring anti-CD3 bridging of adjacent T cells. Surprisingly, anti-CD3 Bi-Fab ranked first in fratricide potency, followed by anti-CD3 F(ab')2 and anti-CD3 mAb. Low resolution structural studies revealed anti-CD3 Bi-Fabs and F(ab')2 adopt similar global shapes with CD3-binding sites oriented outward. However, under molecular dynamic simulations, anti-CD3 Bi-Fabs crosslinked CD3 more rigidly than F(ab')2. Furthermore, molecular modelling of Bi-Fab and F(ab')2 binding to CD3 predicted crosslinking of T cell antigen receptors located in opposing plasma membrane domains, a feature fitting with T cell fratricide observed. Thus, increasing rigidity of Fab-CD3 crosslinking between opposing effector-target pairs may result in stronger T cell effector function. These findings could guide improving clinical performance of bi-specific anti-CD3 drugs.
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Affiliation(s)
- Alfreda D Nelson
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, United States
| | - Liangyu Wang
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO, United States
| | - Kimberly G Laffey
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO, United States
| | - Laura R E Becher
- Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, United States
| | - Christopher A Parks
- Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, United States
| | - Michele M Hoffmann
- Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, United States
| | - Belinda K Galeano
- Department of Immunology, Mayo Clinic College of Medicine and Science, Rochester, MN, United States
| | - Ashutosh Mangalam
- Department of Pathology, University of Iowa, Iowa City, IA, United States
| | - Emma Teixeiro
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, United States
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO, United States
| | - Tommi A White
- Department of Biochemistry, University of Missouri, Columbia, MO, United States
| | - Adam G Schrum
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, United States
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO, United States
- Department of Biomedical, Biological and Medical Engineering, College of Engineering, University of Missouri, Columbia, MO, United States
| | - John F Cannon
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO, United States
| | - Diana Gil
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, United States
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, MO, United States
- Department of Biomedical, Biological and Medical Engineering, College of Engineering, University of Missouri, Columbia, MO, United States
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5
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Akitsu A, Kobayashi E, Feng Y, Stephens HM, Brazin KN, Masi DJ, Kirkpatrick EH, Mallis RJ, Duke-Cohan JS, Booker MA, Cinella V, Feng WW, Holliday EL, Lee JJ, Zienkiewicz KJ, Tolstorukov MY, Hwang W, Lang MJ, Reinherz EL. Parsing digital or analog TCR performance through piconewton forces. SCIENCE ADVANCES 2024; 10:eado4313. [PMID: 39141734 PMCID: PMC11323890 DOI: 10.1126/sciadv.ado4313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 07/05/2024] [Indexed: 08/16/2024]
Abstract
αβ T cell receptors (TCRs) principally recognize aberrant peptides bound to major histocompatibility complex molecules (pMHCs) on unhealthy cells, amplifying specificity and sensitivity through physical load placed on the TCR-pMHC bond during immunosurveillance. To understand this mechanobiology, TCRs stimulated by abundantly and sparsely arrayed epitopes (NP366-374/Db and PA224-233/Db, respectively) following in vivo influenza A virus infection were studied with optical tweezers. While certain NP repertoire CD8 T lymphocytes require many ligands for activation, others are digital, needing just few. Conversely, all PA TCRs perform digitally, exhibiting pronounced bond lifetime increases through sustained, energizing volleys of structural transitioning. Optimal digital performance is superior in vivo, correlating with ERK phosphorylation, CD3 loss, and activation marker up-regulation in vitro. Given neoantigen array paucity, digital TCRs are likely critical for immunotherapies.
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MESH Headings
- Animals
- CD8-Positive T-Lymphocytes/immunology
- CD8-Positive T-Lymphocytes/metabolism
- Mice
- Receptors, Antigen, T-Cell/metabolism
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Receptors, Antigen, T-Cell, alpha-beta/chemistry
- Influenza A virus/immunology
- Humans
- Lymphocyte Activation/immunology
- Orthomyxoviridae Infections/immunology
- Orthomyxoviridae Infections/virology
- Optical Tweezers
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Affiliation(s)
- Aoi Akitsu
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Eiji Kobayashi
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Yinnian Feng
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Hannah M. Stephens
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Kristine N. Brazin
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Daniel J. Masi
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Evan H. Kirkpatrick
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Robert J. Mallis
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
- Department of Dermatology, Harvard Medical School, Boston, MA 02115, USA
| | - Jonathan S. Duke-Cohan
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Matthew A. Booker
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Vincenzo Cinella
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - William W. Feng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Elizabeth L. Holliday
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Jonathan J. Lee
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Katarzyna J. Zienkiewicz
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37212, USA
| | - Michael Y. Tolstorukov
- Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Wonmuk Hwang
- Departments of Biomedical Engineering, Materials Science and Engineering, Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - Matthew J. Lang
- Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN 37212, USA
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Ellis L. Reinherz
- Laboratory of Immunobiology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA
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6
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Rogers J, Ma R, Foote A, Hu Y, Salaita K. Force-Induced Site-Specific Enzymatic Cleavage Probes Reveal That Serial Mechanical Engagement Boosts T Cell Activation. J Am Chem Soc 2024; 146:7233-7242. [PMID: 38451498 PMCID: PMC10958510 DOI: 10.1021/jacs.3c08137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 03/08/2024]
Abstract
The T cell membrane is studded with >104 T cell receptors (TCRs) that are used to scan target cells to identify short peptide fragments associated with viral infection or cancerous mutation. These peptides are presented as peptide-major-histocompatibility complexes (pMHCs) on the surface of virtually all nucleated cells. The TCR-pMHC complex forms at cell-cell junctions, is highly transient, and experiences mechanical forces. An important question in this area pertains to the role of the force duration in immune activation. Herein, we report the development of force probes that autonomously terminate tension within a time window following mechanical triggering. Force-induced site-specific enzymatic cleavage (FUSE) probes tune the tension duration by controlling the rate of a force-triggered endonuclease hydrolysis reaction. This new capability provides a method to study how the accumulated force duration contributes to T cell activation. We screened DNA sequences and identified FUSE probes that disrupt mechanical interactions with F > 7.1 piconewtons (pN) between TCRs and pMHCs. This rate of disruption, or force lifetime (τF), is tunable from tens of minutes down to 1.9 min. T cells challenged with FUSE probes with F > 7.1 pN presenting cognate antigens showed up to a 23% decrease in markers of early activation. FUSE probes with F > 17.0 pN showed weaker influence on T cell triggering further showing that TCR-pMHC with F > 17.0 pN are less frequent compared to F > 7.1 pN. Taken together, FUSE probes allow a new strategy to investigate the role of force dynamics in mechanotransduction broadly and specifically suggest a model of serial mechanical engagement boosting TCR activation.
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Affiliation(s)
- Jhordan Rogers
- Department
of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia 30322, United States
| | - Rong Ma
- Department
of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia 30322, United States
| | - Alexander Foote
- Department
of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia 30322, United States
| | - Yuesong Hu
- Department
of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia 30322, United States
| | - Khalid Salaita
- Department
of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia 30322, United States
- Wallace
H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, United States
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7
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Cui H, Zhang L, Shi Y. Biomaterials-mediated ligation of immune cell surface receptors for immunoengineering. IMMUNO-ONCOLOGY TECHNOLOGY 2024; 21:100695. [PMID: 38405432 PMCID: PMC10891334 DOI: 10.1016/j.iotech.2023.100695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
A wide variety of cell surface receptors found on immune cells are essential to the body's immunological defense mechanisms. Cell surface receptors enable immune cells to sense extracellular stimuli and identify pathogens, transmitting activating or inhibitory signals that regulate the immune cell state and coordinate immunological responses. These receptors can dynamically aggregate or disperse due to the fluidity of the cell membrane, particularly during interactions between cells or between cells and pathogens. At the contact surface, cell surface receptors form microclusters, facilitating the recruitment and amplification of downstream signals. The strength of the immune signal is influenced by both the quantity and the specific types of participating receptors. Generally, receptor cross-linking, meaning multivalent ligation of receptors on one cell, leads to greater interface connectivity and more robust signaling. However, intercellular interactions are often spatially restricted by other cellular structures. Therefore, it is essential to comprehend these receptors' features for developing effective immunoengineering approaches. Biomaterials can stimulate and simulate interactions between immune cells and their targets. Biomaterials can activate immune cells to act against pathogenic organisms or cancer cells, thereby offering a valuable immunoengineering toolset for vaccination and immunotherapy. In this review, we systematically summarize biomaterial-based immunoengineering strategies that consider the biology of diverse immune cell surface receptors and the structural attributes of pathogens. By combining this knowledge, we aim to advance the development of rational and effective approaches for immune modulation and therapeutic interventions.
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Affiliation(s)
- H. Cui
- Department of Polymer Therapeutics, Institute for Experimental Molecular Imaging, Uniklinik RWTH Aachen and Helmholtz Institute for Biomedical Engineering, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - L. Zhang
- Department of Mechanical and Production Engineering, Aarhus University, Aarhus N, Denmark
| | - Y. Shi
- Department of Polymer Therapeutics, Institute for Experimental Molecular Imaging, Uniklinik RWTH Aachen and Helmholtz Institute for Biomedical Engineering, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
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8
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Jeffreys N, Brockman JM, Zhai Y, Ingber DE, Mooney DJ. Mechanical forces amplify TCR mechanotransduction in T cell activation and function. APPLIED PHYSICS REVIEWS 2024; 11:011304. [PMID: 38434676 PMCID: PMC10848667 DOI: 10.1063/5.0166848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/08/2023] [Indexed: 03/05/2024]
Abstract
Adoptive T cell immunotherapies, including engineered T cell receptor (eTCR) and chimeric antigen receptor (CAR) T cell immunotherapies, have shown efficacy in treating a subset of hematologic malignancies, exhibit promise in solid tumors, and have many other potential applications, such as in fibrosis, autoimmunity, and regenerative medicine. While immunoengineering has focused on designing biomaterials to present biochemical cues to manipulate T cells ex vivo and in vivo, mechanical cues that regulate their biology have been largely underappreciated. This review highlights the contributions of mechanical force to several receptor-ligand interactions critical to T cell function, with central focus on the TCR-peptide-loaded major histocompatibility complex (pMHC). We then emphasize the role of mechanical forces in (i) allosteric strengthening of the TCR-pMHC interaction in amplifying ligand discrimination during T cell antigen recognition prior to activation and (ii) T cell interactions with the extracellular matrix. We then describe approaches to design eTCRs, CARs, and biomaterials to exploit TCR mechanosensitivity in order to potentiate T cell manufacturing and function in adoptive T cell immunotherapy.
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Affiliation(s)
| | | | - Yunhao Zhai
- Wyss Institute for Biologically Inspired Engineering, Boston, Massachusetts 02115, USA
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9
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Chang-Gonzalez AC, Mallis RJ, Lang MJ, Reinherz EL, Hwang W. Asymmetric framework motion of TCRαβ controls load-dependent peptide discrimination. eLife 2024; 13:e91881. [PMID: 38167271 PMCID: PMC10869138 DOI: 10.7554/elife.91881] [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: 08/14/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024] Open
Abstract
Mechanical force is critical for the interaction between an αβ T cell receptor (TCR) and a peptide-bound major histocompatibility complex (pMHC) molecule to initiate productive T-cell activation. However, the underlying mechanism remains unclear. We use all-atom molecular dynamics simulations to examine the A6 TCR bound to HLA-A*02:01 presenting agonist or antagonist peptides under different extensions to simulate the effects of applied load on the complex, elucidating their divergent biological responses. We found that TCR α and β chains move asymmetrically, which impacts the interface with pMHC, in particular the peptide-sensing CDR3 loops. For the wild-type agonist, the complex stabilizes in a load-dependent manner while antagonists destabilize it. Simulations of the Cβ FG-loop deletion, which reduces the catch bond response, and simulations with in silico mutant peptides further support the observed behaviors. The present results highlight the combined role of interdomain motion, fluctuating forces, and interfacial contacts in determining the mechanical response and fine peptide discrimination by a TCR, thereby resolving the conundrum of nearly identical crystal structures of TCRαβ-pMHC agonist and antagonist complexes.
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Affiliation(s)
- Ana C Chang-Gonzalez
- Department of Biomedical Engineering, Texas A&M UniversityCollege StationUnited States
| | - Robert J Mallis
- Department of Dermatology, Harvard Medical SchoolBostonUnited States
- Laboratory of Immunobiology, Dana-Farber Cancer InstituteBostonUnited States
- Department of Medicine, Oncology, Dana-Farber Cancer InstituteBostonUnited States
| | - Matthew J Lang
- Department of Chemistry and Biomolecular Engineering, Vanderbilt UniversityNashvilleUnited States
- Department of Molecular Physiology and Biophysics, Vanderbilt UniversityNashvilleUnited States
| | - Ellis L Reinherz
- Laboratory of Immunobiology, Dana-Farber Cancer InstituteBostonUnited States
- Department of Medicine, Oncology, Dana-Farber Cancer InstituteBostonUnited States
- Department of Medicine, Harvard Medical SchoolBostonUnited States
| | - Wonmuk Hwang
- Department of Biomedical Engineering, Texas A&M UniversityCollege StationUnited States
- Department of Materials Science & Engineering, Texas A&M UniversityCollege StationUnited States
- Department of Physics & Astronomy, Texas A&M UniversityCollege StationUnited States
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10
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Akitsu A, Kobayashi E, Feng Y, Stephens HM, Brazin KN, Masi DJ, Kirpatrick EH, Mallis RJ, Duke-Cohan JS, Booker MA, Cinella V, Feng WW, Holliday EL, Lee JJ, Zienkiewicz KJ, Tolstorukov MY, Hwang W, Lang MJ, Reinherz EL. Parsing digital or analogue TCR performance through piconewton forces. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.29.568292. [PMID: 38076892 PMCID: PMC10705438 DOI: 10.1101/2023.11.29.568292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
αβ T-cell receptors (TCRs) recognize aberrant peptides bound to major histocompatibility complex molecules (pMHCs) on unhealthy cells, amplifying specificity and sensitivity through physical load placed on the TCR-pMHC bond during immunosurveillance. To understand this mechanobiology, TCRs stimulated by abundantly and sparsely arrayed epitopes (NP 366-374 /D b and PA 224-233 /D b , respectively) following in vivo influenza A virus infection were studied with optical tweezers. While certain NP repertoire CD8 T lymphocytes require many ligands for activation, others are digital, needing just few. Conversely, all PA TCRs perform digitally, exhibiting pronounced bond lifetime increases through sustained, energizing volleys of structural transitioning. Optimal digital performance is superior in vivo, correlating with ERK phosphorylation, CD3 loss, and activation marker upregulation in vitro . Given neoantigen array paucity, digital TCRs are likely critical for immunotherapies. One Sentence Summary Quality of ligand recognition in a T-cell repertoire is revealed through application of physical load on clonal T-cell receptor (TCR)-pMHC bonds.
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11
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Murray JS. Dichotomy in TCR V-domain dynamics binding the opposed inclined planes of pMHC-II and pMHC-I α-helices. Mol Immunol 2023; 162:111-124. [PMID: 37677988 DOI: 10.1016/j.molimm.2023.07.006] [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] [Received: 01/20/2023] [Revised: 06/24/2023] [Accepted: 07/09/2023] [Indexed: 09/09/2023]
Abstract
Ligand recognition by the human α/β T-cell antigen receptor (TCR) heterodimer protein, unlike the surface immunoglobulin (sIg) B-cell receptor, is not governed by relative binding affinity. Its interaction with the peptide (p) plus major histocompatibility complex (MHC) protein (abbrev. pMHC) likely involves some different molecular mechanism linking pMHC binding to T-cell functions. Recent analytical geometry of TCR:pMHC-II solved crystallographic structures (n = 40) revealed that each variable (V)-domain is bound in similar, yet mathematically unique orientations to its target pMHC groove. The relative position of the central cysteine of each V-domain was examined by multivariable calculus in spherical coordinates, where a simple volume element (dV) was found to describe clonotypic geometry with pMHC-II. Here, the study was expanded to include TCR:pMHC-I structures, and to model a physical mechanism, specifically involving the two directionally opposed inclined planes (IP) manifest by the two major α-helices prominent in both MHC-I and MHC-II proteins. Calculations for rotational torque of each V-domain, together with acceleration up and down the slopes of both MHC α-helices were used to estimate the time a given V-domain spends sliding down its cognate MHC IP. This V-domain rotation/sliding mechanism appears to be quantitatively unique for each TCR:pMHC V-domain (n = 40). However, there is an apparent and common dichotomy between the mobility of each V-domain with respect to the two classes of MHC proteins. Evolutionary motifs in the MHC helices support that the V-domains negotiate the opposed inclined planes of pMHC ligands in clonotypic fashion. Thus, this model is useful in understanding how mechanical forces are linked to TCR function.
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12
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Chang-Gonzalez AC, Mallis RJ, Lang MJ, Reinherz EL, Hwang W. Asymmetric framework motion of TCR αβ controls load-dependent peptide discrimination. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.10.557064. [PMID: 37745603 PMCID: PMC10515854 DOI: 10.1101/2023.09.10.557064] [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
Mechanical force is critical for the interaction between an αβT cell receptor (TCR) and a peptide-bound major histocompatibility complex (pMHC) molecule to initiate productive T-cell activation. However, the underlying mechanism remains unclear. We use all-atom molecular dynamics simulations to examine the A6 TCR bound to HLA-A*02:01 presenting agonist or antagonist peptides under different extensions to simulate the effects of applied load on the complex, elucidating their divergent biological responses. We found that TCR α and β chains move asymmetrically, which impacts the interface with pMHC, in particular the peptide-sensing CDR3 loops. For the wild-type agonist, the complex stabilizes in a load-dependent manner while antagonists destabilize it. Simulations of the Cβ FG-loop deletion, which reduces the catch bond response, and simulations with in silico mutant peptides further support the observed behaviors. The present results highlight the combined role of interdomain motion, fluctuating forces, and interfacial contacts in determining the mechanical response and fine peptide discrimination by a TCR, thereby resolving the conundrum of nearly identical crystal structures of TCRαβ-pMHC agonist and antagonist complexes.
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Affiliation(s)
- Ana C. Chang-Gonzalez
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA
| | - Robert J. Mallis
- Dept. Dermatology, Harvard Medical School, Boston, MA, USA
- Lab. of Immunobio., Dana-Farber Cancer Inst., Boston, MA, USA
- Dept. Med. Oncology, Dana-Farber Cancer Inst., Boston, MA, USA
| | - Matthew J. Lang
- Dept. Chem. and Biomolec. Eng., Vanderbilt Univ., Nashville, TN, USA
- Dept. Molec. Physiology and Biophys., Vanderbilt Univ., Nashville, TN, USA
| | - Ellis L. Reinherz
- Dept. Medicine, Harvard Medical School, Boston, MA, USA
- Lab. of Immunobio., Dana-Farber Cancer Inst., Boston, MA, USA
- Dept. Med. Oncology, Dana-Farber Cancer Inst., Boston, MA, USA
| | - Wonmuk Hwang
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA
- Department of Materials Science & Engineering, Texas A&M University, College Station, TX, USA
- Dept. Phys. & Astronomy, Texas A&M Univ., College Station, TX, USA
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13
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Ghoreyshi ZS, George JT. Quantitative approaches for decoding the specificity of the human T cell repertoire. Front Immunol 2023; 14:1228873. [PMID: 37781387 PMCID: PMC10539903 DOI: 10.3389/fimmu.2023.1228873] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/17/2023] [Indexed: 10/03/2023] Open
Abstract
T cell receptor (TCR)-peptide-major histocompatibility complex (pMHC) interactions play a vital role in initiating immune responses against pathogens, and the specificity of TCRpMHC interactions is crucial for developing optimized therapeutic strategies. The advent of high-throughput immunological and structural evaluation of TCR and pMHC has provided an abundance of data for computational approaches that aim to predict favorable TCR-pMHC interactions. Current models are constructed using information on protein sequence, structures, or a combination of both, and utilize a variety of statistical learning-based approaches for identifying the rules governing specificity. This review examines the current theoretical, computational, and deep learning approaches for identifying TCR-pMHC recognition pairs, placing emphasis on each method's mathematical approach, predictive performance, and limitations.
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Affiliation(s)
- Zahra S. Ghoreyshi
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, United States
| | - Jason T. George
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, United States
- Engineering Medicine Program, Texas A&M University, Houston, TX, United States
- Center for Theoretical Biological Physics, Rice University, Houston, TX, United States
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14
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Rogers J, Ma R, Hu Y, Salaita K. Force-induced site-specific enzymatic cleavage probes reveal that serial mechanical engagement boosts T cell activation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.07.552310. [PMID: 37609308 PMCID: PMC10441320 DOI: 10.1101/2023.08.07.552310] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
The surface of T cells is studded with T cell receptors (TCRs) that are used to scan target cells to identify peptide-major histocompatibility complexes (pMHCs) signatures of viral infection or cancerous mutation. It is now established that the TCR-pMHC complex is highly transient and experiences mechanical forces that augment the fidelity of T cell activation. An important question in this area pertains to the role of force duration in immune activation. Herein, we report the development of force probes that autonomously terminate tension within a time window following mechanical triggering. Force-induced site-specific enzymatic cleavage (FUSE) probes tune tension duration by controlling the rate of a force-triggered endonuclease hydrolysis reaction. This new capability provides a method to study how accumulated force duration contributes to T cell activation. We screened DNA sequences and identified FUSE probes that disrupt mechanical interactions with F >7.1 piconewtons (pN) between TCRs and pMHCs. Force lifetimes (τF) are tunable from tens of min down to 1.9 min. T cells challenged with FUSE probes presenting cognate antigens with τF of 1.9 min demonstrated dampened markers of early activation, thus demonstrating that repeated mechanical sampling boosts TCR activation. Repeated mechanical sampling F >7.1 pN was found to be particularly critical at lower pMHC antigen densities, wherein the T cell activation declined by 23% with τF of 1.9 min. FUSE probes with F >17.0 pN response showed weaker influence on T cell triggering further showing that TCR-pMHC with F >17.0 pN are less frequent compared to F >7.1 pN. Taken together, FUSE probes allow a new strategy to investigate the role of force dynamics in mechanotransduction broadly and specifically suggest a model of serial mechanical engagement in antigen recognition.
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Affiliation(s)
- Jhordan Rogers
- Department of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia, 30322, USA
| | - Rong Ma
- Department of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia, 30322, USA
| | - Yuesong Hu
- Department of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia, 30322, USA
| | - Khalid Salaita
- Department of Chemistry, Emory University, 1515 Dickey Drive, Atlanta, Georgia, 30322, USA
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, 30332, USA
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15
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Ayres CM, Corcelli SA, Baker BM. The Energetic Landscape of Catch Bonds in TCR Interfaces. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 211:325-332. [PMID: 37459192 PMCID: PMC10361606 DOI: 10.4049/jimmunol.2300121] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/14/2023] [Indexed: 07/20/2023]
Abstract
Recognition of peptide/MHC complexes by αβ TCRs has traditionally been viewed through the lens of conventional receptor-ligand theory. Recent work, however, has shown that TCR recognition and T cell signaling can be profoundly influenced and tuned by mechanical forces. One outcome of applied force is the catch bond, where TCR dissociation rates decrease (half-lives increase) when limited force is applied. Although catch bond behavior is believed to be widespread in biology, its counterintuitive nature coupled with the difficulties of describing mechanisms at the structural level have resulted in considerable mystique. In this review, we demonstrate that viewing catch bonds through the lens of energy landscapes, barriers, and the ensuing reaction rates can help demystify catch bonding and provide a foundation on which atomic-level TCR catch bond mechanisms can be built.
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Affiliation(s)
- Cory M Ayres
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN
- The Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN
| | - Steve A Corcelli
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN
| | - Brian M Baker
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN
- The Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN
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16
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Faust MA, Rasé VJ, Lamb TJ, Evavold BD. What's the Catch? The Significance of Catch Bonds in T Cell Activation. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 211:333-342. [PMID: 37459191 PMCID: PMC10732538 DOI: 10.4049/jimmunol.2300141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 04/21/2023] [Indexed: 07/20/2023]
Abstract
One of the main goals in T cell biology has been to investigate how TCR recognition of peptide:MHC (pMHC) determines T cell phenotype and fate. Ag recognition is required to facilitate survival, expansion, and effector function of T cells. Historically, TCR affinity for pMHC has been used as a predictor for T cell fate and responsiveness, but there have now been several examples of nonfunctional high-affinity clones and low-affinity highly functional clones. Recently, more attention has been paid to the TCR being a mechanoreceptor where the key biophysical determinant is TCR bond lifetime under force. As outlined in this review, the fundamental parameters between the TCR and pMHC that control Ag recognition and T cell triggering are affinity, bond lifetime, and the amount of force at which the peak lifetime occurs.
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Affiliation(s)
- Michael A Faust
- Division of Microbiology and Immunology, Department of Pathology, University of Utah, Salt Lake City, UT
| | - Viva J Rasé
- Division of Microbiology and Immunology, Department of Pathology, University of Utah, Salt Lake City, UT
| | - Tracey J Lamb
- Division of Microbiology and Immunology, Department of Pathology, University of Utah, Salt Lake City, UT
| | - Brian D Evavold
- Division of Microbiology and Immunology, Department of Pathology, University of Utah, Salt Lake City, UT
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17
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Choi HK, Cong P, Ge C, Natarajan A, Liu B, Zhang Y, Li K, Rushdi MN, Chen W, Lou J, Krogsgaard M, Zhu C. Catch bond models may explain how force amplifies TCR signaling and antigen discrimination. Nat Commun 2023; 14:2616. [PMID: 37147290 PMCID: PMC10163261 DOI: 10.1038/s41467-023-38267-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 04/24/2023] [Indexed: 05/07/2023] Open
Abstract
The TCR integrates forces in its triggering process upon interaction with pMHC. Force elicits TCR catch-slip bonds with strong pMHCs but slip-only bonds with weak pMHCs. We develop two models and apply them to analyze 55 datasets, demonstrating the models' ability to quantitatively integrate and classify a broad range of bond behaviors and biological activities. Comparing to a generic two-state model, our models can distinguish class I from class II MHCs and correlate their structural parameters with the TCR/pMHC's potency to trigger T cell activation. The models are tested by mutagenesis using an MHC and a TCR mutated to alter conformation changes. The extensive comparisons between theory and experiment provide model validation and testable hypothesis regarding specific conformational changes that control bond profiles, thereby suggesting structural mechanisms for the inner workings of the TCR mechanosensing machinery and plausible explanations of why and how force may amplify TCR signaling and antigen discrimination.
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Affiliation(s)
- Hyun-Kyu Choi
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Peiwen Cong
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Chenghao Ge
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Amgen Inc., One Amgen Center Dr., Thousand Oaks, CA, 91320, USA
| | - Aswin Natarajan
- Laura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY, 10016, USA
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, 10016, USA
| | - Baoyu Liu
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, 84112, USA
| | - Yong Zhang
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- Key Laboratory of RNA Biology, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Kaitao Li
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Muaz Nik Rushdi
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Medtronic CO., Minneapolis, MN, 55432, USA
| | - Wei Chen
- Department of Cell Biology, Zhejiang University School of Medicine, Hangzhou, 310058, China
- Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Jizhong Lou
- National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- Key Laboratory of RNA Biology, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Michelle Krogsgaard
- Laura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, New York, NY, 10016, USA
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, 10016, USA
| | - Cheng Zhu
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA.
- Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
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18
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Qin R, An C, Chen W. Physical-Chemical Regulation of Membrane Receptors Dynamics in Viral Invasion and Immune Defense. J Mol Biol 2023; 435:167800. [PMID: 36007627 PMCID: PMC9394170 DOI: 10.1016/j.jmb.2022.167800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/13/2022] [Accepted: 08/18/2022] [Indexed: 02/04/2023]
Abstract
Mechanical cues dynamically regulate membrane receptors functions to trigger various physiological and pathological processes from viral invasion to immune defense. These cues mainly include various types of dynamic mechanical forces and the spatial confinement of plasma membrane. However, the molecular mechanisms of how they couple with biochemical cues in regulating membrane receptors functions still remain mysterious. Here, we review recent advances in methodologies of single-molecule biomechanical techniques and in novel biomechanical regulatory mechanisms of critical ligand recognition of viral and immune receptors including SARS-CoV-2 spike protein, T cell receptor (TCR) and other co-stimulatory immune receptors. Furthermore, we provide our perspectives of the general principle of how force-dependent kinetics determine the dynamic functions of membrane receptors and of biomechanical-mechanism-driven SARS-CoV-2 neutralizing antibody design and TCR engineering for T-cell-based therapies.
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Affiliation(s)
- Rui Qin
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China
| | - Chenyi An
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China; School of Biology and Engineering, Guizhou Medical University, Guiyang, China
| | - Wei Chen
- Department of Cell Biology and Department of Cardiology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou 310058, China; Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou 311121, China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the MOE Frontier Science Center for Brain Science & Brain-Machine Integration, State Key Laboratory for Modern Optical Instrumentation Key Laboratory for Biomedical Engineering of the Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310058, Zhejiang, China.
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19
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Shevyrev DV, Tereshchenko VP, Sennikov SV. The Enigmatic Nature of the TCR-pMHC Interaction: Implications for CAR-T and TCR-T Engineering. Int J Mol Sci 2022; 23:ijms232314728. [PMID: 36499057 PMCID: PMC9740949 DOI: 10.3390/ijms232314728] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/11/2022] [Accepted: 11/21/2022] [Indexed: 11/29/2022] Open
Abstract
The interaction of the T-cell receptor (TCR) with a peptide in the major histocompatibility complex (pMHC) plays a central role in the adaptive immunity of higher chordates. Due to the high specificity and sensitivity of this process, the immune system quickly recognizes and efficiently responds to the appearance of foreign and altered self-antigens. This is important for ensuring anti-infectious and antitumor immunity, in addition to maintaining self-tolerance. The most common parameter used for assessing the specificity of TCR-pMHC interaction is affinity. This thermodynamic characteristic is widely used not only in various theoretical aspects, but also in practice, for example, in the engineering of various T-cell products with a chimeric (CAR-T) or artificial (TCR-engineered T-cell) antigen receptor. However, increasing data reveal the fact that, in addition to the thermodynamic component, the specificity of antigen recognition is based on the kinetics and mechanics of the process, having even greater influence on the selectivity of the process and T lymphocyte activation than affinity. Therefore, the kinetic and mechanical aspects of antigen recognition should be taken into account when designing artificial antigen receptors, especially those that recognize antigens in the MHC complex. This review describes the current understanding of the nature of the TCR-pMHC interaction, in addition to the thermodynamic, kinetic, and mechanical principles underlying the specificity and high sensitivity of this interaction.
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Affiliation(s)
- D. V. Shevyrev
- Laboratory of molecular Immunology, Research Institute for Fundamental and Clinical Immunology, 630099 Novosibirsk, Russia
- Center for Cell Technology and Immunology, Sirius University of Science and Technology, 354340 Sochi, Russia
- Correspondence: ; Tel.: +7-9231345505
| | - V. P. Tereshchenko
- Laboratory of molecular Immunology, Research Institute for Fundamental and Clinical Immunology, 630099 Novosibirsk, Russia
- Center for Cell Technology and Immunology, Sirius University of Science and Technology, 354340 Sochi, Russia
| | - S. V. Sennikov
- Laboratory of molecular Immunology, Research Institute for Fundamental and Clinical Immunology, 630099 Novosibirsk, Russia
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20
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Huang W, Le S, Sun Y, Lin DJ, Yao M, Shi Y, Yan J. Mechanical Stabilization of a Bacterial Adhesion Complex. J Am Chem Soc 2022; 144:16808-16818. [PMID: 36070862 PMCID: PMC9501914 DOI: 10.1021/jacs.2c03961] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
The adhesions between Gram-positive bacteria and their
hosts are
exposed to varying magnitudes of tensile forces. Here, using an ultrastable
magnetic tweezer-based single-molecule approach, we show the catch-bond
kinetics of the prototypical adhesion complex of SD-repeat protein
G (SdrG) to a peptide from fibrinogen β (Fgβ) over a physiologically
important force range from piconewton (pN) to tens of pN, which was
not technologically accessible to previous studies. At 37 °C,
the lifetime of the complex exponentially increases from seconds at
several pN to ∼1000 s as the force reaches 30 pN, leading to
mechanical stabilization of the adhesion. The dissociation transition
pathway is determined as the unbinding of a critical β-strand
peptide (“latch” strand of SdrG that secures the entire
adhesion complex) away from its binding cleft, leading to the dissociation
of the Fgβ ligand. Similar mechanical stabilization behavior
is also observed in several homologous adhesions, suggesting the generality
of catch-bond kinetics in such bacterial adhesions. We reason that
such mechanical stabilization confers multiple advantages in the pathogenesis
and adaptation of bacteria.
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Affiliation(s)
- Wenmao Huang
- Department of Physics, National University of Singapore, Singapore 117542.,Mechanobiology Institute, National University of Singapore, Singapore 117411
| | - Shimin Le
- Department of Physics, National University of Singapore, Singapore 117542.,Research Institute for Biomimetics and Soft Matter, Fujian Provincial Key Lab for Soft Functional Materials Research, Department of Physics, Xiamen University, Xiamen 361005, China
| | - Yuze Sun
- Mechanobiology Institute, National University of Singapore, Singapore 117411
| | - Dennis Jingxiong Lin
- Department of Physics, National University of Singapore, Singapore 117542.,Mechanobiology Institute, National University of Singapore, Singapore 117411
| | - Mingxi Yao
- Mechanobiology Institute, National University of Singapore, Singapore 117411.,Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yi Shi
- Institute of Materials Research and Engineering, A*STAR, 2 Fusionopolis Way, Innovis, #08-03, Singapore 138634
| | - Jie Yan
- Department of Physics, National University of Singapore, Singapore 117542.,Mechanobiology Institute, National University of Singapore, Singapore 117411.,Centre for Bioimaging Sciences, National University of Singapore, Singapore 117546
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21
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Rollins ZA, Huang J, Tagkopoulos I, Faller R, George SC. A Computational Algorithm to Assess the Physiochemical Determinants of T Cell Receptor Dissociation Kinetics. Comput Struct Biotechnol J 2022; 20:3473-3481. [PMID: 35860406 PMCID: PMC9278023 DOI: 10.1016/j.csbj.2022.06.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/20/2022] [Accepted: 06/21/2022] [Indexed: 11/29/2022] Open
Abstract
The rational design of T Cell Receptors (TCRs) for immunotherapy has stagnated due to a limited understanding of the dynamic physiochemical features of the TCR that elicit an immunogenic response. The physiochemical features of the TCR-peptide major histocompatibility complex (pMHC) bond dictate bond lifetime which, in turn, correlates with immunogenicity. Here, we: i) characterize the force-dependent dissociation kinetics of the bond between a TCR and a set of pMHC ligands using Steered Molecular Dynamics (SMD); and ii) implement a machine learning algorithm to identify which physiochemical features of the TCR govern dissociation kinetics. Our results demonstrate that the total number of hydrogen bonds between the CDR2β-MHC⍺(β), CDR1α-Peptide, and CDR3β-Peptide are critical features that determine bond lifetime.
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Affiliation(s)
| | - Jun Huang
- University of California, Davis, Davis, California, Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL
| | | | | | - Steven C. George
- Department of Biomedical Engineering
- Corresponding author at: Department of Biomedical Engineering, 451 E. Health Sciences Drive, room 2315, University of California, Davis, Davis, CA 95616.
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22
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TCR-pMHC: Envisioning the specialized dynamics of the target 5-component complex. Cell Mol Immunol 2022; 19:657-659. [DOI: 10.1038/s41423-022-00856-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 03/03/2022] [Indexed: 11/08/2022] Open
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23
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Zhao X, Kolawole EM, Chan W, Feng Y, Yang X, Gee MH, Jude KM, Sibener LV, Fordyce PM, Germain RN, Evavold BD, Garcia KC. Tuning T cell receptor sensitivity through catch bond engineering. Science 2022; 376:eabl5282. [PMID: 35389803 PMCID: PMC9513562 DOI: 10.1126/science.abl5282] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Adoptive cell therapy using engineered T cell receptors (TCRs) is a promising approach for targeting cancer antigens, but tumor-reactive TCRs are often weakly responsive to their target ligands, peptide-major histocompatibility complexes (pMHCs). Affinity-matured TCRs can enhance the efficacy of TCR-T cell therapy but can also cross-react with off-target antigens, resulting in organ immunopathology. We developed an alternative strategy to isolate TCR mutants that exhibited high activation signals coupled with low-affinity pMHC binding through the acquisition of catch bonds. Engineered analogs of a tumor antigen MAGE-A3-specific TCR maintained physiological affinities while exhibiting enhanced target killing potency and undetectable cross-reactivity, compared with a high-affinity clinically tested TCR that exhibited lethal cross-reactivity with a cardiac antigen. Catch bond engineering is a biophysically based strategy to tune high-sensitivity TCRs for T cell therapy with reduced potential for adverse cross-reactivity.
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Affiliation(s)
- Xiang Zhao
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Elizabeth M Kolawole
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - Waipan Chan
- Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yinnian Feng
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Xinbo Yang
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Marvin H Gee
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.,Program in Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kevin M Jude
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Leah V Sibener
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.,Program in Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Polly M Fordyce
- Department of Genetics, Stanford University, Stanford, CA 94305, USA.,Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.,ChEM-H Institute, Stanford University, Stanford, CA 94305, USA.,Chan Zuckerberg BioHub, San Francisco, CA 94158, USA
| | - Ronald N Germain
- Lymphocyte Biology Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Brian D Evavold
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - K Christopher Garcia
- Departments of Molecular and Cellular Physiology and Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.,Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
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24
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CDR3 binding chemistry controls TCR V-domain rotational probability and germline CDR2 scanning of polymorphic MHC. Mol Immunol 2022; 144:138-151. [DOI: 10.1016/j.molimm.2021.11.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/17/2021] [Accepted: 11/21/2021] [Indexed: 11/21/2022]
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25
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Herman MA, Aiello BR, DeLong JD, Garcia-Ruiz H, González AL, Hwang W, McBeth C, Stojković EA, Trakselis MA, Yakoby N. A Unifying Framework for Understanding Biological Structures and Functions Across Levels of Biological Organization. Integr Comp Biol 2022; 61:2038-2047. [PMID: 34302339 PMCID: PMC8990247 DOI: 10.1093/icb/icab167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/12/2021] [Accepted: 07/14/2021] [Indexed: 12/14/2022] Open
Abstract
The relationship between structure and function is a major constituent of the rules of life. Structures and functions occur across all levels of biological organization. Current efforts to integrate conceptual frameworks and approaches to address new and old questions promise to allow a more holistic and robust understanding of how different biological functions are achieved across levels of biological organization. Here, we provide unifying and generalizable definitions of both structure and function that can be applied across all levels of biological organization. However, we find differences in the nature of structures at the organismal level and below as compared to above the level of the organism. We term these intrinsic and emergent structures, respectively. Intrinsic structures are directly under selection, contributing to the overall performance (fitness) of the individual organism. Emergent structures involve interactions among aggregations of organisms and are not directly under selection. Given this distinction, we argue that while the functions of many intrinsic structures remain unknown, functions of emergent structures are the result of the aggregate of processes of individual organisms. We then provide a detailed and unified framework of the structure-function relationship for intrinsic structures to explore how their unknown functions can be defined. We provide examples of how these scalable definitions applied to intrinsic structures provide a framework to address questions on structure-function relationships that can be approached simultaneously from all subdisciplines of biology. We propose that this will produce a more holistic and robust understanding of how different biological functions are achieved across levels of biological organization.
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Affiliation(s)
- M A Herman
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE 68588-0118, USA
| | - B R Aiello
- Schools of Physics and Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - J D DeLong
- School of Biological Sciences, University of Nebraska-Lincoln, Lincoln, NE 68588-0118, USA
| | - H Garcia-Ruiz
- Department of Plant Pathology, Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, NE 68503, USA
| | - A L González
- Department of Biology and Center for Computational and Integrative Biology, Rutgers University, Camden, NJ 08103, USA
| | - W Hwang
- Departments of Biomedical Engineering, Materials Science and Engineering, and Physics and Astronomy, Texas A&M University, College Station, TX 77843, USA
| | - C McBeth
- Fraunhofer USA CMI and Boston University, Boston, MA 02215, USA
| | - E A Stojković
- Department of Biology, Northeastern Illinois University, Chicago, IL 60641, USA
| | - M A Trakselis
- Department of Chemistry and Biochemistry, Baylor University, One Bear Place #97348, Waco, TX 76798, USA
| | - N Yakoby
- Department of Biology and Center for Computational and Integrative Biology, Rutgers University, Camden, NJ 08103, USA
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26
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Bongrand P. Is There a Need for a More Precise Description of Biomolecule Interactions to Understand Cell Function? Curr Issues Mol Biol 2022; 44:505-525. [PMID: 35723321 PMCID: PMC8929073 DOI: 10.3390/cimb44020035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/15/2022] [Accepted: 01/17/2022] [Indexed: 11/16/2022] Open
Abstract
An important goal of biological research is to explain and hopefully predict cell behavior from the molecular properties of cellular components. Accordingly, much work was done to build extensive “omic” datasets and develop theoretical methods, including computer simulation and network analysis to process as quantitatively as possible the parameters contained in these resources. Furthermore, substantial effort was made to standardize data presentation and make experimental results accessible to data scientists. However, the power and complexity of current experimental and theoretical tools make it more and more difficult to assess the capacity of gathered parameters to support optimal progress in our understanding of cell function. The purpose of this review is to focus on biomolecule interactions, the interactome, as a specific and important example, and examine the limitations of the explanatory and predictive power of parameters that are considered as suitable descriptors of molecular interactions. Recent experimental studies on important cell functions, such as adhesion and processing of environmental cues for decision-making, support the suggestion that it should be rewarding to complement standard binding properties such as affinity and kinetic constants, or even force dependence, with less frequently used parameters such as conformational flexibility or size of binding molecules.
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Affiliation(s)
- Pierre Bongrand
- Lab Adhesion and Inflammation (LAI), Inserm UMR 1067, Cnrs UMR 7333, Aix-Marseille Université UM 61, Marseille 13009, France
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27
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Ch'ng ACW, Lam P, Alassiri M, Lim TS. Application of phage display for T-cell receptor discovery. Biotechnol Adv 2021; 54:107870. [PMID: 34801662 DOI: 10.1016/j.biotechadv.2021.107870] [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: 07/28/2021] [Revised: 10/23/2021] [Accepted: 11/15/2021] [Indexed: 12/13/2022]
Abstract
The immune system is tasked to keep our body unharmed and healthy. In the immune system, B- and T-lymphocytes are the two main components working together to stop and eliminate invading threats like virus particles, bacteria, fungi and parasite from attacking our healthy cells. The function of antibodies is relatively more direct in target recognition as compared to T-cell receptors (TCR) which recognizes antigenic peptides being presented on the major histocompatibility complex (MHC). Although phage display has been widely applied for antibody presentation, this is the opposite in the case of TCR. The cell surface TCR is a relatively large and complex molecule, making presentation on phage surfaces challenging. Even so, recombinant versions and modifications have been introduced to allow the growing development of TCR in phage display. In addition, the increasing application of TCR for immunotherapy has made it an important binding motif to be developed by phage display. This review will emphasize on the application of phage display for TCR discovery as well as the engineering aspect of TCR for improved characteristics.
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Affiliation(s)
- Angela Chiew Wen Ch'ng
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, 11800 Penang, Malaysia
| | - Paula Lam
- CellVec Private Limited, 118518, Singapore; National University of Singapore, Department of Physiology, 117597, Singapore; Duke-NUS Graduate Medical School, Cancer and Stem Cells Biology Program, 169857, Singapore
| | - Mohammed Alassiri
- Department of Basic Sciences, College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh, Saudi Arabia; King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia
| | - Theam Soon Lim
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, 11800 Penang, Malaysia; Analytical Biochemistry Research Centre, Universiti Sains Malaysia, 11800 Penang, Malaysia.
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28
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Puech PH, Bongrand P. Mechanotransduction as a major driver of cell behaviour: mechanisms, and relevance to cell organization and future research. Open Biol 2021; 11:210256. [PMID: 34753321 PMCID: PMC8586914 DOI: 10.1098/rsob.210256] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 10/18/2021] [Indexed: 01/04/2023] Open
Abstract
How do cells process environmental cues to make decisions? This simple question is still generating much experimental and theoretical work, at the border of physics, chemistry and biology, with strong implications in medicine. The purpose of mechanobiology is to understand how biochemical and physical cues are turned into signals through mechanotransduction. Here, we review recent evidence showing that (i) mechanotransduction plays a major role in triggering signalling cascades following cell-neighbourhood interaction; (ii) the cell capacity to continually generate forces, and biomolecule properties to undergo conformational changes in response to piconewton forces, provide a molecular basis for understanding mechanotransduction; and (iii) mechanotransduction shapes the guidance cues retrieved by living cells and the information flow they generate. This includes the temporal and spatial properties of intracellular signalling cascades. In conclusion, it is suggested that the described concepts may provide guidelines to define experimentally accessible parameters to describe cell structure and dynamics, as a prerequisite to take advantage of recent progress in high-throughput data gathering, computer simulation and artificial intelligence, in order to build a workable, hopefully predictive, account of cell signalling networks.
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Affiliation(s)
- Pierre-Henri Puech
- Lab Adhesion and Inflammation (LAI), Inserm UMR 1067, CNRS UMR 7333, Aix-Marseille Université UM61, Marseille, France
| | - Pierre Bongrand
- Lab Adhesion and Inflammation (LAI), Inserm UMR 1067, CNRS UMR 7333, Aix-Marseille Université UM61, Marseille, France
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29
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Wilhelm KB, Morita S, McAffee DB, Kim S, O'Dair MK, Groves JT. Height, but not binding epitope, affects the potency of synthetic TCR agonists. Biophys J 2021; 120:3869-3880. [PMID: 34453921 PMCID: PMC8511163 DOI: 10.1016/j.bpj.2021.08.027] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/16/2021] [Accepted: 08/20/2021] [Indexed: 12/27/2022] Open
Abstract
Under physiological conditions, peptide-major histocompatibility complex (pMHC) molecules can trigger T cell receptors (TCRs) as monovalent ligands that are sparsely distributed on the plasma membrane of an antigen-presenting cell. TCRs can also be triggered by artificial clustering, such as with pMHC tetramers or antibodies; however, these strategies circumvent many of the natural ligand discrimination mechanisms of the T cell and can elicit nonphysiological signaling activity. We have recently introduced a synthetic TCR agonist composed of an anti-TCRβ Fab′ antibody fragment covalently bound to a DNA oligonucleotide, which serves as a membrane anchor. This Fab′-DNA ligand efficiently triggers TCR as a monomer when membrane associated and exhibits a potency and activation profile resembling agonist pMHC. In this report, we explore the geometric requirements for efficient TCR triggering and cellular activation by Fab′-DNA ligands. We find that T cells are insensitive to the ligand binding epitope on the TCR complex but that length of the DNA tether is important. Increasing, the intermembrane distance spanned by Fab′-DNA:TCR complexes decreases TCR triggering efficiency and T cell activation potency, consistent with the kinetic-segregation model of TCR triggering. These results establish design parameters for constructing synthetic TCR agonists that are able to activate polyclonal T cell populations, such as T cells from a human patient, in a similar manner as the native pMHC ligand.
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Affiliation(s)
- Kiera B Wilhelm
- Department of Chemistry, University of California, Berkeley, California
| | - Shumpei Morita
- Department of Chemistry, University of California, Berkeley, California
| | - Darren B McAffee
- Department of Chemistry, University of California, Berkeley, California
| | - Sungi Kim
- Department of Chemistry, University of California, Berkeley, California
| | - Mark K O'Dair
- Department of Chemistry, University of California, Berkeley, California
| | - Jay T Groves
- Department of Chemistry, University of California, Berkeley, California.
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30
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Pandey PR, Różycki B, Lipowsky R, Weikl TR. Structural variability and concerted motions of the T cell receptor - CD3 complex. eLife 2021; 10:e67195. [PMID: 34490842 PMCID: PMC8504971 DOI: 10.7554/elife.67195] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 09/06/2021] [Indexed: 11/28/2022] Open
Abstract
We investigate the structural and orientational variability of the membrane-embedded T cell receptor (TCR) - CD3 complex in extensive atomistic molecular dynamics simulations based on the recent cryo-EM structure determined by Dong et al., 2019. We find that the TCR extracellular (EC) domain is highly variable in its orientation by attaining tilt angles relative to the membrane normal that range from 15° to 55°. The tilt angle of the TCR EC domain is both coupled to a rotation of the domain and to characteristic changes throughout the TCR - CD3 complex, in particular in the EC interactions of the Cβ FG loop of the TCR, as well as in the orientation of transmembrane helices. The concerted motions of the membrane-embedded TCR - CD3 complex revealed in our simulations provide atomistic insights on conformational changes of the complex in response to tilt-inducing forces on antigen-bound TCRs.
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MESH Headings
- CD3 Complex/metabolism
- CD3 Complex/ultrastructure
- Cell Membrane/metabolism
- Cell Membrane/ultrastructure
- Cryoelectron Microscopy
- Humans
- Molecular Dynamics Simulation
- Protein Binding
- Protein Conformation, alpha-Helical
- Receptor-CD3 Complex, Antigen, T-Cell/metabolism
- Receptor-CD3 Complex, Antigen, T-Cell/ultrastructure
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Receptors, Antigen, T-Cell, alpha-beta/ultrastructure
- Structure-Activity Relationship
- T-Lymphocytes/immunology
- T-Lymphocytes/metabolism
- T-Lymphocytes/ultrastructure
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Affiliation(s)
- Prithvi R Pandey
- Max Planck Institute of Colloids and Interfaces, Department of Theory and Bio-SystemsPotsdamGermany
| | - Bartosz Różycki
- Institute of Physics, Polish Academy of SciencesWarsawPoland
| | - Reinhard Lipowsky
- Max Planck Institute of Colloids and Interfaces, Department of Theory and Bio-SystemsPotsdamGermany
| | - Thomas R Weikl
- Max Planck Institute of Colloids and Interfaces, Department of Theory and Bio-SystemsPotsdamGermany
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31
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Banik D, Hamidinia M, Brzostek J, Wu L, Stephens HM, MacAry PA, Reinherz EL, Gascoigne NRJ, Lang MJ. Single Molecule Force Spectroscopy Reveals Distinctions in Key Biophysical Parameters of αβ T-Cell Receptors Compared with Chimeric Antigen Receptors Directed at the Same Ligand. J Phys Chem Lett 2021; 12:7566-7573. [PMID: 34347491 PMCID: PMC9082930 DOI: 10.1021/acs.jpclett.1c02240] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Chimeric antigen receptor (CAR) T-cell therapies exploit facile antibody-mediated targeting to elicit useful immune responses in patients. This work directly compares binding profiles of CAR and αβ T-cell receptors (TCR) with single cell and single molecule optical trap measurements against a shared ligand. DNA-tethered measurements of peptide-major histocompatibility complex (pMHC) ligand interaction in both CAR and TCR exhibit catch bonds with specific peptide agonist peaking at 25 and 14 pN, respectively. While a conformational transition is regularly seen in TCR-pMHC systems, that of CAR-pMHC systems is dissimilar, being infrequent, of lower magnitude, and irreversible. Slip bonds are observed with CD19-specific CAR T-cells and with a monoclonal antibody mapping to the MHC α2 helix but indifferent to the bound peptide. Collectively, these findings suggest that the CAR-pMHC interface underpins the CAR catch bond response to pMHC ligands in contradistinction to slip bonds for CARs targeting canonical ligands.
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Affiliation(s)
- Debasis Banik
- Department
of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Maryam Hamidinia
- Translational
Immunology Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Translational
Cancer Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Department
of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
| | - Joanna Brzostek
- Translational
Immunology Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Translational
Cancer Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Department
of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
| | - Ling Wu
- Translational
Immunology Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Translational
Cancer Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Department
of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
| | - Hannah M. Stephens
- Department
of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Paul A. MacAry
- Translational
Immunology Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Translational
Cancer Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Department
of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
| | - Ellis L. Reinherz
- Laboratory
of Immunobiology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, United States
- Department
of Medical Oncology, Dana-Farber Cancer Institute and Department of
Medicine, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Nicholas R. J. Gascoigne
- Translational
Immunology Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Translational
Cancer Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Department
of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
| | - Matthew J. Lang
- Department
of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee 37235, United States
- Department
of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, Tennessee 37235, United States
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32
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Abstract
T cell activation is a critical event in the adaptive immune response, indispensable for cell-mediated and humoral immunity as well as for immune regulation. Recent years have witnessed an emerging trend emphasizing the essential role that physical force and mechanical properties play at the T cell interface. In this review, we integrate current knowledge of T cell antigen recognition and the different models of T cell activation from the perspective of mechanobiology, focusing on the interaction between the T cell receptor (TCR) and the peptide-major histocompatibility complex (pMHC) antigen. We address the shortcomings of TCR affinity alone in explaining T cell functional outcomes and the rising status of force-regulated TCR bond lifetimes, most notably the TCR catch bond. Ultimately, T cell activation and the ensuing physiological responses result from mechanical interaction between TCRs and the pMHC. Expected final online publication date for the Annual Review of Cell and Developmental Biology, Volume 37 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Baoyu Liu
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA; , ,
| | - Elizabeth M Kolawole
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA; , ,
| | - Brian D Evavold
- Department of Pathology, University of Utah School of Medicine, Salt Lake City, Utah 84112, USA; , ,
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33
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Murray JS. TCR-pMHC: may the force be of you? Cell Mol Immunol 2021; 18:1622-1623. [PMID: 33479416 PMCID: PMC8245527 DOI: 10.1038/s41423-021-00635-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 12/31/2020] [Indexed: 11/09/2022] Open
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34
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Molecular design of the γδT cell receptor ectodomain encodes biologically fit ligand recognition in the absence of mechanosensing. Proc Natl Acad Sci U S A 2021; 118:2023050118. [PMID: 34172580 PMCID: PMC8256041 DOI: 10.1073/pnas.2023050118] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
TCR mechanosensing is thought necessary for digital sensitivity of αβT cell response to scant pMHC antigens. We use bioinformatic analysis, molecular dynamics, single-molecule optical tweezers techniques, cellular activation, and RNA-seq analysis to explore this paradigm in the γδT cell lineage. We find that, in keeping with its role in recognizing abundant cell-surface ligands, the γδTCR lacks force-dependent hallmarks of mechanosensing in αβT cells. High-acuity αβT cell receptor (TCR) recognition of peptides bound to major histocompatibility complex molecules (pMHCs) requires mechanosensing, a process whereby piconewton (pN) bioforces exert physical load on αβTCR–pMHC bonds to dynamically alter their lifetimes and foster digital sensitivity cellular signaling. While mechanotransduction is operative for both αβTCRs and pre-TCRs within the αβT lineage, its role in γδT cells is unknown. Here, we show that the human DP10.7 γδTCR specific for the sulfoglycolipid sulfatide bound to CD1d only sustains a significant load and undergoes force-induced structural transitions when the binding interface-distal γδ constant domain (C) module is replaced with that of αβ. The chimeric γδ–αβTCR also signals more robustly than does the wild-type (WT) γδTCR, as revealed by RNA-sequencing (RNA-seq) analysis of TCR-transduced Rag2−/− thymocytes, consistent with structural, single-molecule, and molecular dynamics studies reflective of γδTCRs as mediating recognition via a more canonical immunoglobulin-like receptor interaction. Absence of robust, force-related catch bonds, as well as γδTCR structural transitions, implies that γδT cells do not use mechanosensing for ligand recognition. This distinction is consonant with the fact that their innate-type ligands, including markers of cellular stress, are expressed at a high copy number relative to the sparse pMHC ligands of αβT cells arrayed on activating target cells. We posit that mechanosensing emerged over ∼200 million years of vertebrate evolution to fulfill indispensable adaptive immune recognition requirements for pMHC in the αβT cell lineage that are unnecessary for the γδT cell lineage mechanism of non-pMHC ligand detection.
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35
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Affinity Selection in Germinal Centers: Cautionary Tales and New Opportunities. Cells 2021; 10:cells10051040. [PMID: 33924933 PMCID: PMC8145379 DOI: 10.3390/cells10051040] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/23/2021] [Accepted: 04/24/2021] [Indexed: 12/29/2022] Open
Abstract
Our current quantitative knowledge of the kinetics of antibody-mediated immunity is partly based on idealized experiments throughout the last decades. However, new experimental techniques often render contradictory quantitative outcomes that shake previously uncontroversial assumptions. This has been the case in the field of T-cell receptors, where recent techniques for measuring the 2-dimensional rate constants of T-cell receptor–ligand interactions exposed results contradictory to those obtained with techniques measuring 3-dimensional interactions. Recently, we have developed a mathematical framework to rationalize those discrepancies, focusing on the proper fine-grained description of the underlying kinetic steps involved in the immune synapse. In this perspective article, we apply this approach to unveil potential blind spots in the case of B-cell receptors (BCR) and to rethink the interactions between B cells and follicular dendritic cells (FDC) during the germinal center (GC) reaction. Also, we elaborate on the concept of “catch bonds” and on the recent observations that B-cell synapses retract and pull antigen generating a “retracting force”, and propose some testable predictions that can lead to future research.
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36
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Pfannenstill V, Barbotin A, Colin-York H, Fritzsche M. Quantitative Methodologies to Dissect Immune Cell Mechanobiology. Cells 2021; 10:851. [PMID: 33918573 PMCID: PMC8069647 DOI: 10.3390/cells10040851] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/02/2021] [Accepted: 04/06/2021] [Indexed: 12/25/2022] Open
Abstract
Mechanobiology seeks to understand how cells integrate their biomechanics into their function and behavior. Unravelling the mechanisms underlying these mechanobiological processes is particularly important for immune cells in the context of the dynamic and complex tissue microenvironment. However, it remains largely unknown how cellular mechanical force generation and mechanical properties are regulated and integrated by immune cells, primarily due to a profound lack of technologies with sufficient sensitivity to quantify immune cell mechanics. In this review, we discuss the biological significance of mechanics for immune cells across length and time scales, and highlight several experimental methodologies for quantifying the mechanics of immune cells. Finally, we discuss the importance of quantifying the appropriate mechanical readout to accelerate insights into the mechanobiology of the immune response.
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Affiliation(s)
- Veronika Pfannenstill
- Kennedy Institute for Rheumatology, University of Oxford, Roosevelt Drive, Oxford OX3 7LF, UK; (V.P.); (A.B.)
| | - Aurélien Barbotin
- Kennedy Institute for Rheumatology, University of Oxford, Roosevelt Drive, Oxford OX3 7LF, UK; (V.P.); (A.B.)
| | - Huw Colin-York
- Kennedy Institute for Rheumatology, University of Oxford, Roosevelt Drive, Oxford OX3 7LF, UK; (V.P.); (A.B.)
| | - Marco Fritzsche
- Kennedy Institute for Rheumatology, University of Oxford, Roosevelt Drive, Oxford OX3 7LF, UK; (V.P.); (A.B.)
- Rosalind Franklin Institute, Harwell Campus, Didcot OX11 0FA, UK
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37
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Aramesh M, Mergenthal S, Issler M, Plochberger B, Weber F, Qin XH, Liska R, Duda GN, Huppa JB, Ries J, Schütz GJ, Klotzsch E. Functionalized Bead Assay to Measure Three-dimensional Traction Forces during T-cell Activation. NANO LETTERS 2021; 21:507-514. [PMID: 33305952 DOI: 10.1021/acs.nanolett.0c03964] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
When T-cells probe their environment for antigens, the bond between the T-cell receptor (TCR) and the peptide-loaded major histocompatibility complex (MHC) is put under tension, thereby influencing the antigen discrimination. Yet, the quantification of such forces in the context of T-cell signaling is technically challenging. Here, we developed a traction force microscopy platform which allows for quantifying the pulls and pushes exerted via T-cell microvilli, in both tangential and normal directions, during T-cell activation. We immobilized specific T-cell activating antibodies on the marker beads used to read out the hydrogel deformation. Microvilli targeted the functionalized beads, as confirmed by superresolution microscopy of the local actin organization. Moreover, we found that cellular components, such as actin, TCR, and CD45 reorganize upon interaction with the beads, such that actin forms a vortex-like ring structure around the beads and TCR is enriched at the bead surface, whereas CD45 is excluded from bead-microvilli contacts.
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Affiliation(s)
- Morteza Aramesh
- Laboratory of Applied Mechanobiology, Department for Health Sciences and Technology, ETH Zürich, 8093 Zürich, Switzerland
| | - Simon Mergenthal
- Institute of Biology, Experimental Biophysics/Mechanobiology, Humboldt Universität zu Berlin, 10115 Berlin, Germany
| | - Marcel Issler
- Institute of Biology, Experimental Biophysics/Mechanobiology, Humboldt Universität zu Berlin, 10115 Berlin, Germany
| | - Birgit Plochberger
- Upper Austria University of Applied Sciences, Campus Linz, Garnisonstrasse 21, 4020 Linz, Austria
| | - Florian Weber
- Upper Austria University of Applied Sciences, Campus Linz, Garnisonstrasse 21, 4020 Linz, Austria
| | - Xiao-Hua Qin
- Institute for Biomechanics, Department for Health Sciences and Technology, ETH Zürich, 8093 Zürich, Switzerland
| | - Robert Liska
- Institute of Applied Synthetic Chemistry, TU Wien, Getreidemarkt 9/163/MC, 1060 Vienna, Austria
| | - Georg N Duda
- Julius Wolff Institute for Biomechanics and Musculoskeletal Regeneration, Charité-Universitätsmedizin, BIH Center for Regenerative Therapies, Berlin Institute of Health, 13353 Berlin, Germany
| | - Johannes B Huppa
- Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, 1090 Vienna, Austria
| | - Jonas Ries
- EMBL Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
| | | | - Enrico Klotzsch
- Laboratory of Applied Mechanobiology, Department for Health Sciences and Technology, ETH Zürich, 8093 Zürich, Switzerland
- Institute of Biology, Experimental Biophysics/Mechanobiology, Humboldt Universität zu Berlin, 10115 Berlin, Germany
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38
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Mizsei R, Li X, Chen WN, Szabo M, Wang JH, Wagner G, Reinherz EL, Mallis RJ. A general chemical crosslinking strategy for structural analyses of weakly interacting proteins applied to preTCR-pMHC complexes. J Biol Chem 2021; 296:100255. [PMID: 33837736 PMCID: PMC7948749 DOI: 10.1016/j.jbc.2021.100255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 12/29/2020] [Accepted: 01/04/2021] [Indexed: 11/04/2022] Open
Abstract
T lymphocytes discriminate between healthy and infected or cancerous cells via T-cell receptor-mediated recognition of peptides bound and presented by cell-surface-expressed major histocompatibility complex molecules (MHCs). Pre-T-cell receptors (preTCRs) on thymocytes foster development of αβT lymphocytes through their β chain interaction with MHC displaying self-peptides on thymic epithelia. The specific binding of a preTCR with a peptide-MHC complex (pMHC) has been identified previously as forming a weak affinity complex with a distinct interface from that of mature αβTCR. However, a lack of appropriate tools has limited prior efforts to investigate this unique interface. Here we designed a small-scale linkage screening protocol using bismaleimide linkers for determining residue-specific distance constraints between transiently interacting protein pairs in solution. Employing linkage distance restraint-guided molecular modeling, we report the oriented solution docking geometry of a preTCRβ-pMHC interaction. The linkage model of preTCRβ-pMHC complex was independently verified with paramagnetic pseudocontact chemical shift (PCS) NMR of the unlinked protein mixtures. Using linkage screens, we show that the preTCR binds with differing affinities to peptides presented by MHC in solution. Moreover, the C-terminal peptide segment is a key determinant in preTCR-pMHC recognition. We also describe the process for future large-scale production and purification of the linked constructs for NMR, X-ray crystallography, and single-molecule electron microscopy studies.
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MESH Headings
- Antigens, Surface/chemistry
- Antigens, Surface/genetics
- Antigens, Surface/ultrastructure
- Humans
- Major Histocompatibility Complex/genetics
- Membrane Glycoproteins/chemistry
- Membrane Glycoproteins/ultrastructure
- Nuclear Magnetic Resonance, Biomolecular
- Peptides/chemistry
- Peptides/genetics
- Protein Binding/genetics
- Protein Interaction Domains and Motifs/genetics
- Receptors, Antigen, T-Cell/chemistry
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/ultrastructure
- Receptors, Antigen, T-Cell, alpha-beta/chemistry
- Receptors, Antigen, T-Cell, alpha-beta/ultrastructure
- T-Lymphocytes/chemistry
- T-Lymphocytes/immunology
- T-Lymphocytes/ultrastructure
- Thymocytes/chemistry
- Thymocytes/ultrastructure
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Affiliation(s)
- Réka Mizsei
- Laboratory of Immunobiology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Biochemistry, Semmelweis University, Budapest, Hungary
| | - Xiaolong Li
- Laboratory of Immunobiology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Wan-Na Chen
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
| | - Monika Szabo
- Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC, Australia
| | - Jia-Huai Wang
- Laboratory of Immunobiology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA; Department of Cancer Biology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
| | - Gerhard Wagner
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA
| | - Ellis L Reinherz
- Laboratory of Immunobiology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
| | - Robert J Mallis
- Laboratory of Immunobiology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA; Department of Dermatology, Harvard Medical School, Boston, Massachusetts, USA.
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39
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Regulations of T Cell Activation by Membrane and Cytoskeleton. MEMBRANES 2020; 10:membranes10120443. [PMID: 33352750 PMCID: PMC7765812 DOI: 10.3390/membranes10120443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 12/12/2020] [Accepted: 12/17/2020] [Indexed: 12/11/2022]
Abstract
Among various types of membrane proteins that are regulated by cytoskeleton, the T cell receptor (TCR) greatly benefits from these cellular machineries for its function. The T cell is activated by the ligation of TCR to its target agonist peptide. However, the binding affinity of the two is not very strong, while the T cell needs to discriminate agonist from many nonagonist peptides. Moreover, the strength and duration of the activation signaling need to be tuned for immunological functions. Many years of investigations revealed that dynamic acto-myosin cytoskeletons and plasma membranes in T cells facilitate such regulations by modulating the spatiotemporal distributions of proteins in plasma membranes and by applying mechanical loads on proteins. In these processes, protein dynamics in multiple scales are involved, ranging from collective molecular motions and macroscopic molecular organizations at the cell–cell interface to microscopic changes in distances between receptor and ligand molecules. In this review, details of how cytoskeletons and membranes regulate these processes are discussed, with the emphasis on how all these processes are coordinated to occur within a single cell system.
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