Immune recognition by T lymphocytes and natural killer (NK) cells is in large part dependent on the identification of cell surface MHC molecules bearing peptides generated from either endogenous (MHC I) or exogenous (MHC II) dependent pathways. This review focuses on MHC I molecules that coordinately fold to bind self or foreign peptides for such surface display. Peptide loading occurs in an antigen presentation pathway that includes either the multimolecular peptide loading complex (PLC) or a single chain chaperone/catalyst, TAP binding protein, related, TAPBPR, that mimics a key component of the PLC, tapasin. Recent structural and dynamic studies of TAPBPR reveal details of its function and reflect on mechanisms common to tapasin. Regions of structural conservation among species suggest that TAPBPR and tapasin have evolved to satisfy functional complexities demanded by the enormous polymorphism of MHC I molecules. Recent studies suggest that these two chaperone/catalysts exploit structural flexibility and dynamics to stabilize MHC molecules and facilitate peptide loading.
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http://dx.doi.org/10.3389/fimmu.2022.859782 | DOI Listing |
Int J Biol Macromol
January 2025
MOA Key Laboratory of Animal Virology, Center for Veterinary Sciences, Department of Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou 310058, China. Electronic address:
The present study aimed to extract and purify the glycoprotein from Cirsii Herba (CHPs), and investigate its immunomodulatory activity and molecular mechanism in RAW264.7 macrophages. The results showed that CHPs contained 14.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Department of Breast, Foshan Fosun Chancheng Hospital, Foshan, Guangdong Province, China.
Growing evidence has demonstrated the association between necroptosis and tumorigenesis and immunotherapy. However, the influence of overall necroptosis related genes on prognosis and immune microenvironment of breast cancer is still unclear. In this study, We systematically analyzed the necroptosis related gene patterns and tumor microenvironment characteristics of 1294 breast cancer patients by clustering the gene expression of 22 necroptosis related genes.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104.
Class I major histocompatibility complex (MHC-I) proteins play a pivotal role in adaptive immunity by displaying epitopic peptides to CD8+ T cells. The chaperones tapasin and TAPBPR promote the selection of immunogenic antigens from a large pool of intracellular peptides. Interactions of chaperoned MHC-I molecules with incoming peptides are transient in nature, and as a result, the precise antigen proofreading mechanism remains elusive.
View Article and Find Full Text PDFMol Cells
January 2025
Laboratory of Host Defenses, Department of Biological Sciences, KAIST, Daejeon 34141, Republic of Korea; KAIST Institute of Health Science and Technology, KAIST, Daejeon 34141, Republic of Korea. Electronic address:
The role of γδ T cells in antitumor responses has gained significant attention due to their unique major histocompatibility complex (MHC)-independent killing mechanisms, which distinguish them from conventional αβ T cells. Notably, γδ tumor-infiltrating lymphocytes (TILs) have been identified as favorable prognostic markers in various cancers. However, γδ TIL subsets, including Vδ1, Vδ2, and Vδ3, exhibit distinct prognostic implications and phenotypes from one another within the tumor microenvironment (TME).
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
School of Computer Science, The University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K.
Predicting protein-protein interaction (PPI) binding affinities in unseen protein complex clusters is essential for elucidating complex protein interactions and for the targeted screening of peptide- or protein-based drugs. We introduce MCGLPPI++, a meta-learning framework designed to improve the adaptability of pretrained geometric models in such scenarios. To effectively boost the meta-learning optimization by injecting prior intersample distribution knowledge, three specially designed training sample cluster splitting patterns based on protein interaction interfaces are introduced.
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