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Du R, Li L, Ji J, Fan Y. Receptor-Ligand Binding: Effect of Mechanical Factors. Int J Mol Sci 2023; 24:ijms24109062. [PMID: 37240408 DOI: 10.3390/ijms24109062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/20/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
Gaining insight into the in situ receptor-ligand binding is pivotal for revealing the molecular mechanisms underlying the physiological and pathological processes and will contribute to drug discovery and biomedical application. An important issue involved is how the receptor-ligand binding responds to mechanical stimuli. This review aims to provide an overview of the current understanding of the effect of several representative mechanical factors, such as tension, shear stress, stretch, compression, and substrate stiffness on receptor-ligand binding, wherein the biomedical implications are focused. In addition, we highlight the importance of synergistic development of experimental and computational methods for fully understanding the in situ receptor-ligand binding, and further studies should focus on the coupling effects of these mechanical factors.
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Affiliation(s)
- Ruotian Du
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Long Li
- State Key Laboratory of Nonlinear Mechanics, Beijing Key Laboratory of Engineered Construction and Mechanobiology, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
| | - Jing Ji
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
| | - Yubo Fan
- Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
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Schneckenburger H, Weber P, Wagner M, Enderle S, Kalthof B, Schneider L, Herzog C, Weghuber J, Lanzerstorfer P. Combining TIR and FRET in Molecular Test Systems. Int J Mol Sci 2019; 20:ijms20030648. [PMID: 30717378 PMCID: PMC6387052 DOI: 10.3390/ijms20030648] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 12/18/2018] [Accepted: 01/30/2019] [Indexed: 11/16/2022] Open
Abstract
Pharmaceutical agents or drugs often have a pronounced impact on protein-protein interactions in cells, and in particular, cell membranes. Changes of molecular conformations as well as of intermolecular interactions may affect dipole-dipole interaction between chromophoric groups, which can be proven by measuring the Förster resonance energy transfer (FRET). If these chromophores are located within or in close proximity to the plasma membrane, they are excited preferentially by an evanescent electromagnetic wave upon total internal reflection (TIR) of an incident laser beam. For the TIR-FRET screening of larger cell collectives, we performed three separate steps: (1) setting up of a membrane associated test system for probing the interaction between the epidermal growth factor receptor (EGFR) and the growth factor receptor-bound protein 2; (2) use of the Epac-SH188 sensor for quantitative evaluation under the microscope; and (3) application of a TIR fluorescence reader to probe the interaction of GFP with Nile Red. In the first two steps, we measured FRET from cyan (CFP) to yellow fluorescent protein (YFP) by spectral analysis and fluorescence lifetime imaging (FLIM) upon illumination of whole cells (epi-illumination) as well as selective illumination of their plasma membranes by TIR. In particular, TIR excitation permitted FRET measurements with high sensitivity and low background. The Epac sensor showed a more rapid response to pharmaceutical agents, e.g., Forskolin or the A2B adenosine receptor agonist NECA, in close proximity to the plasma membrane compared to the cytosol. Finally, FRET from a membrane associated GFP to Nile Red was used to test a multi-well TIR fluorescence reader with simultaneous detection of a larger number of samples.
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Affiliation(s)
| | - Petra Weber
- Institute of Applied Research, Aalen University, 73430 Aalen, Germany.
| | - Michael Wagner
- Institute of Applied Research, Aalen University, 73430 Aalen, Germany.
| | - Sandra Enderle
- Institute of Applied Research, Aalen University, 73430 Aalen, Germany.
| | - Bernd Kalthof
- Pharmaceutical Division, Bayer AG, 42096 Wuppertal, Germany.
| | - Linn Schneider
- Pharmaceutical Division, Bayer AG, 42096 Wuppertal, Germany.
| | - Claudia Herzog
- Pharmaceutical Division, Bayer AG, 42096 Wuppertal, Germany.
| | - Julian Weghuber
- University of Applied Sciences Upper Austria, 4600 Wels, Austria.
- Austrian Competence Center for Feed and Food Quality, Safety and Innovation, 4600 Wels, Austria.
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Buckle AM, Borg NA. Integrating Experiment and Theory to Understand TCR-pMHC Dynamics. Front Immunol 2018; 9:2898. [PMID: 30581442 PMCID: PMC6293202 DOI: 10.3389/fimmu.2018.02898] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 11/26/2018] [Indexed: 11/13/2022] Open
Abstract
The conformational dynamism of proteins is well established. Rather than having a single structure, proteins are more accurately described as a conformational ensemble that exists across a rugged energy landscape, where different conformational sub-states interconvert. The interaction between αβ T cell receptors (TCR) and cognate peptide-MHC (pMHC) is no exception, and is a dynamic process that involves substantial conformational change. This review focuses on technological advances that have begun to establish the role of conformational dynamics and dynamic allostery in TCR recognition of the pMHC and the early stages of signaling. We discuss how the marriage of molecular dynamics (MD) simulations with experimental techniques provides us with new ways to dissect and interpret the process of TCR ligation. Notably, application of simulation techniques lags behind other fields, but is predicted to make substantial contributions. Finally, we highlight integrated approaches that are being used to shed light on some of the key outstanding questions in the early events leading to TCR signaling.
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Affiliation(s)
- Ashley M Buckle
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia
| | - Natalie A Borg
- Infection and Immunity Program, Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, Australia
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The Study of Platelet Receptors Using Artificial Lipid Bilayers. Methods Mol Biol 2018. [PMID: 30171576 DOI: 10.1007/978-1-4939-8585-2_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Artificial lipid bilayers are powerful tools that can be used to model the interactions between platelets and membrane-bound ligands. To mimic the interaction of platelets with membrane-bound ligands, biotinylated lipids can be used to couple monobiotinylated recombinant ligands to the upper leaflet of an artificial lipid bilayer using streptavidin to bridge the two. Artificial lipid bilayers are generated by preparing liposomes, treating glass coverslips to make them hydrophilic and by assembling the bilayer in a specialized flow chamber. Finally platelets can be added to the flow chamber and the localization of fluorescently labeled molecules followed using microscopy.
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Williams CM, Schonnesen AA, Zhang SQ, Ma KY, He C, Yamamoto T, Eckhardt SG, Klebanoff CA, Jiang N. Normalized Synergy Predicts That CD8 Co-Receptor Contribution to T Cell Receptor (TCR) and pMHC Binding Decreases As TCR Affinity Increases in Human Viral-Specific T Cells. Front Immunol 2017; 8:894. [PMID: 28804489 PMCID: PMC5532383 DOI: 10.3389/fimmu.2017.00894] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2017] [Accepted: 07/12/2017] [Indexed: 11/13/2022] Open
Abstract
The discovery of naturally occurring T cell receptors (TCRs) that confer specific, high-affinity recognition of pathogen and cancer-associated antigens remains a major goal in cellular immunotherapies. The contribution of the CD8 co-receptor to the interaction between the TCR and peptide-bound major histocompatibility complex (pMHC) has previously been correlated with the activation and responsiveness of CD8+ T cells. However, these studies have been limited to model systems of genetically engineered hybridoma TCRs or transgenic mouse TCRs against either a single epitope or an array of altered peptide ligands. CD8 contribution in a native human antigen-specific T cell response remains elusive. Here, using Hepatitis C Virus-specific precursor CTLs spanning a large range of TCR affinities, we discovered that the functional responsiveness of any given TCR correlated with the contribution of CD8 to TCR/pMHC binding. Furthermore, we found that CD8 contribution to TCR/pMHC binding in the two-dimensional (2D) system was more accurately reflected by normalized synergy (CD8 cooperation normalized by total TCR/pMHC bonds) rather than synergy (total CD8 cooperation) alone. While synergy showed an increasing trend with TCR affinity, normalized synergy was demonstrated to decrease with the increase of TCR affinity. Critically, normalized synergy was shown to correlate with CTL functionality and peptide sensitivity, corroborating three-dimensional (3D) analysis of CD8 contribution with respect to TCR affinity. In addition, we identified TCRs that were independent of CD8 for TCR/pMHC binding. Our results resolve the current discrepancy between 2D and 3D analysis on CD8 contribution to TCR/pMHC binding, and demonstrate that naturally occurring high-affinity TCRs are more capable of CD8-independent interactions that yield greater functional responsiveness even with CD8 blocking. Taken together, our data suggest that addition of the normalized synergy parameter to our previously established TCR discovery platform using 2D TCR affinity and sequence test would allow for selection of TCRs specific to any given antigen with the desirable attributes of high TCR affinity, CD8 co-receptor independence and functional superiority. Utilizing TCRs with less CD8 contribution could be beneficial for adoptive cell transfer immunotherapies using naturally occurring or genetically engineered T cells against viral or cancer-associated antigens.
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Affiliation(s)
- Chad M Williams
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States
| | - Alexandra A Schonnesen
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States
| | - Shu-Qi Zhang
- McKetta Department of Chemical Engineering, University of Texas at Austin, Austin, TX, United States
| | - Ke-Yue Ma
- Institute for Cell and Molecular Biology, University of Texas at Austin, Austin, TX, United States
| | - Chenfeng He
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States
| | - Tori Yamamoto
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.,Immunology Graduate Group, University of Pennsylvania, Philadelphia, PA, United States
| | - S Gail Eckhardt
- LIVESTRONG Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, United States
| | - Christopher A Klebanoff
- Center for Cell Engineering, Department of Medicine, Memorial Sloan Kettering Cancer Center (MSKCC), New York, NY, United States.,Parker Institute for Cancer Immunotherapy, MSKCC, New York, NY, United States
| | - Ning Jiang
- Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States.,Institute for Cell and Molecular Biology, University of Texas at Austin, Austin, TX, United States
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