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The Hypervariable Loops of Free TCRs Sample Multiple Distinct Metastable Conformations in Solution

CD4(+) and CD8(+) αβ T cell antigen recognition is determined by the interaction between the TCR Complementarity Determining Region (CDR) loops and the peptide-presenting MHC complex. These T cells are known for their ability to recognize multiple pMHC complexes, and for a necessary promiscuity that...

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Autores principales: Crooks, James E., Boughter, Christopher T., Scott, L. Ridgway, Adams, Erin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243104/
https://www.ncbi.nlm.nih.gov/pubmed/30483515
http://dx.doi.org/10.3389/fmolb.2018.00095
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author Crooks, James E.
Boughter, Christopher T.
Scott, L. Ridgway
Adams, Erin J.
author_facet Crooks, James E.
Boughter, Christopher T.
Scott, L. Ridgway
Adams, Erin J.
author_sort Crooks, James E.
collection PubMed
description CD4(+) and CD8(+) αβ T cell antigen recognition is determined by the interaction between the TCR Complementarity Determining Region (CDR) loops and the peptide-presenting MHC complex. These T cells are known for their ability to recognize multiple pMHC complexes, and for a necessary promiscuity that is required for their selection and function in the periphery. Crystallographic studies have previously elucidated the role of structural interactions in TCR engagement, but our understanding of the dynamic process that occurs during TCR binding is limited. To better understand the dynamic states that exist for TCR CDR loops in solution, and how this relates to their states when in complex with pMHC, we simulated the 2C T cell receptor in solution using all-atom molecular dynamics in explicit water and constructed a Markov State Model for each of the CDR3α and CDR3β loops. These models reveal multiple metastable states for the CDR3 loops in solution. Simulation data and metastable states reproduce known CDR3β crystal conformations, and reveal several novel conformations suggesting that CDR3β bound states are the result of search processes from nearby pre-existing equilibrium conformational states. Similar simulations of the invariant, Type I Natural Killer T cell receptor NKT15, which engages the monomorphic, MHC-like CD1d ligand, demonstrate that iNKT TCRs also have distinct states, but comparatively restricted degrees of motion.
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spelling pubmed-62431042018-11-27 The Hypervariable Loops of Free TCRs Sample Multiple Distinct Metastable Conformations in Solution Crooks, James E. Boughter, Christopher T. Scott, L. Ridgway Adams, Erin J. Front Mol Biosci Molecular Biosciences CD4(+) and CD8(+) αβ T cell antigen recognition is determined by the interaction between the TCR Complementarity Determining Region (CDR) loops and the peptide-presenting MHC complex. These T cells are known for their ability to recognize multiple pMHC complexes, and for a necessary promiscuity that is required for their selection and function in the periphery. Crystallographic studies have previously elucidated the role of structural interactions in TCR engagement, but our understanding of the dynamic process that occurs during TCR binding is limited. To better understand the dynamic states that exist for TCR CDR loops in solution, and how this relates to their states when in complex with pMHC, we simulated the 2C T cell receptor in solution using all-atom molecular dynamics in explicit water and constructed a Markov State Model for each of the CDR3α and CDR3β loops. These models reveal multiple metastable states for the CDR3 loops in solution. Simulation data and metastable states reproduce known CDR3β crystal conformations, and reveal several novel conformations suggesting that CDR3β bound states are the result of search processes from nearby pre-existing equilibrium conformational states. Similar simulations of the invariant, Type I Natural Killer T cell receptor NKT15, which engages the monomorphic, MHC-like CD1d ligand, demonstrate that iNKT TCRs also have distinct states, but comparatively restricted degrees of motion. Frontiers Media S.A. 2018-11-13 /pmc/articles/PMC6243104/ /pubmed/30483515 http://dx.doi.org/10.3389/fmolb.2018.00095 Text en Copyright © 2018 Crooks, Boughter, Scott and Adams. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Crooks, James E.
Boughter, Christopher T.
Scott, L. Ridgway
Adams, Erin J.
The Hypervariable Loops of Free TCRs Sample Multiple Distinct Metastable Conformations in Solution
title The Hypervariable Loops of Free TCRs Sample Multiple Distinct Metastable Conformations in Solution
title_full The Hypervariable Loops of Free TCRs Sample Multiple Distinct Metastable Conformations in Solution
title_fullStr The Hypervariable Loops of Free TCRs Sample Multiple Distinct Metastable Conformations in Solution
title_full_unstemmed The Hypervariable Loops of Free TCRs Sample Multiple Distinct Metastable Conformations in Solution
title_short The Hypervariable Loops of Free TCRs Sample Multiple Distinct Metastable Conformations in Solution
title_sort hypervariable loops of free tcrs sample multiple distinct metastable conformations in solution
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243104/
https://www.ncbi.nlm.nih.gov/pubmed/30483515
http://dx.doi.org/10.3389/fmolb.2018.00095
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