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Can Glycosylation Mask the Detection of MHC Expressing p53 Peptides by T Cell Receptors?

Authors: Thanh Binh Nguyen; David P. Lane; Chandra S. Verma;

Can Glycosylation Mask the Detection of MHC Expressing p53 Peptides by T Cell Receptors?

Abstract

Proteins of the major histocompatibility complex (MHC) class I, or human leukocyte antigen (HLA) in humans interact with endogenous peptides and present them to T cell receptors (TCR), which in turn tune the immune system to recognize and discriminate between self and foreign (non-self) peptides. Of especial importance are peptides derived from tumor-associated antigens. T cells recognizing these peptides are found in cancer patients, but not in cancer-free individuals. What stimulates this recognition, which is vital for the success of checkpoint based therapy? A peptide derived from the protein p53 (residues 161–169 or p161) was reported to show this behavior. T cells recognizing this unmodified peptide could be further stimulated in vitro to create effective cancer killing CTLs (cytotoxic T lymphocytes). We hypothesize that the underlying difference may arise from post-translational glycosylation of p161 in normal individuals, likely masking it against recognition by TCR. Defects in glycosylation in cancer cells may allow the presentation of the native peptide. We investigate the structural consequences of such peptide glycosylation by investigating the associated structural dynamics.

Country
Singapore
Keywords

p53, Models, Molecular, 570, Glycosylation, glycosylation, Protein Conformation, Human Immunodeficiency Virus Proteins, Receptors, Antigen, T-Cell, HLA-A24 Antigen, Molecular dynamics, Molecular Dynamics Simulation, Molecular Dynamics, Microbiology, Article, Acetylglucosamine, Humans, P53, HLA-A24, :Biological sciences [Science], Hydrogen Bonding, 540, molecular dynamics, QR1-502, Peptide Fragments, Tumor Suppressor Protein p53

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
gold
Related to Research communities
Cancer Research