How TCRs bind MHCs, peptides, and coreceptors.

By Markus G. Rudolph, R. Stanfield, Ian A. Wilson. Annual Review of Immunology, 2006

1,352 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/36b195d8ba19b19e7315caf5694db8efce63024b

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Citations in the corpus

A flexible docking approach for prediction of T cell receptor–peptide–MHC complexes (2013, methodology): “The crossing angle is the angle between the inter-domain TCR vector and the vector along the MHC helices; its calculation is described in detail by Rudolph et al.11 Briefly, the inter-domain TCR vector was calculated using the centroids of the disulfide bonds in the two TCR variable domains.”
Properties of MHC Class I Presented Peptides That Enhance Immunogenicity (2013, background): “These results are in line with previous studies on TCR-pMHC-interactions, and confirms that our data sets of immunogenic and non-immunogenic peptides carry known signatures of T-cell recognition.”
CD4+T Cells: Differentiation and Functions (2012, background): “TCR interacts with antigen-MHC complex, while CD3 mediates T-cell activation signals [5].”
Evolution of neoantigen landscape during immune checkpoint blockade in non-small cell lung cancer (2016, background): “cMANAs were found in positions thought to be important for TCR binding (20), and are likely to”
Modeling T cell receptor recognition of CD1-lipid and MR1-metabolite complexes (2014, neutral): “This is highlighted by a number of studies showing that, in addition to well-characterized recognition of peptide-major histocompatibility complex (pMHC) [1], many TCRs engage MHC-like molecules CD1, which present a variety of lipid antigens [2], and MR1, which presents vitamin B metabolites [3].”
From chemotherapy to biological therapy: A review of novel concepts to reduce the side effects of systemic cancer treatment (Review) (2018, neutral): “How TCRs bind MHCs, peptides and coreceptors has previously been described in detail (27).”
Comprehensive assessment of T-cell receptor beta-chain diversity in alphabeta T cells. (2009, methodology): “Errors in the primary sequencing data were derived primarily from 2 sources: (1) nucleotide misincorporation that occurred during the PCR amplification of TCR CDR3 template sequences, and (2) errors in base calls introduced by the GA during sequencing of the PCR-amplified library of CDR3 sequences.”
A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach (2008, background): “A critical step in CD4+ T cell activation is the recognition of epitopes presented by MHC class II molecules [5].”
Naive CD4(+) T cell frequency varies for different epitopes and predicts repertoire diversity and response magnitude. (2007, background): “Introduction Naive T lymphocytes become activated and proliferate when their antigen receptors (TCR) bind to cognate peptides presented on Major Histocompatibility Complex (MHC) molecules (Rudolph et al., 2006; Stockinger et al., 2006).”
A Recurrent Mutation in Anaplastic Lymphoma Kinase with Distinct Neoepitope Conformations (2018, background): “The exact conformation and dynamic features of the peptide within the MHC-I-binding groove are known to play pivotal roles in recognition by CD8+ T cells, by dictating MHC/peptidebinding affinity, stability on the cell surface and cross-reactivity of interactions with specific TCR molecules (43, 44)”