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Tuning of NK-Specific HLA-C Expression by Alternative mRNA Splicing

  1. Author:
    Goodson-Gregg,Joseph
    Rothbard,Brian
    Zhang, Amy
    Wright,Paul
    Li,Hongchuan
    Walker-Sperling,Victoria
    Carrington,Mary
    Anderson,Steve
  2. Author Address

    Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, Frederick, MD, United States., Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, MD, United States., Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, United States.,
    1. Year: 2020
    2. Date: JAN 10
    3. Epub Date: 2020 01 10
  1. Journal: Frontiers in immunology
    1. 10
    2. Pages: 3034
  2. Type of Article: Article
  3. Article Number: 3034
  4. ISSN: 1664-3224
  1. Abstract:

    A complex system regulating HLA-C expression in NK cells, driven by an NK-specific promoter that produces alternatively spliced variants of the 5'-UTR has been recently identified. Exon content of the NK-specific 5'-UTR varies strikingly across HLA-C alleles, with some exons being allele specific. In order to investigate the possibility that allelic variation in the 5'-UTR modulates HLA-C expression levels, cDNAs containing several distinct classes of 5'-UTR were compared. Subtle changes in 5'-UTR content had a significant effect on the expression of HLA-C*03 and HLA-C*12 cDNA clones, suggesting that alternative splicing can fine-tune the level of protein expression. The HLA-C*06 allele was found to be highly expressed in relation to the other alleles studied. However, its increased expression was primarily associated with differences in the peptide-binding groove. Although the impact of allele-specific alternative splicing of NK-Pro transcripts on protein levels can be modest when compared with the effect of changes in peptide-loading, alternative splicing may represent an additional regulatory mechanism to fine-tune HLA-C levels within NK cells in distinct tissue environments or at different stages of maturation in order to achieve optimal levels of missing-self recognition. Copyright © 2020 Goodson-Gregg, Rothbard, Zhang, Wright, Li, Walker-Sperling, Carrington and Anderson.

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External Sources

  1. DOI: 10.3389/fimmu.2019.03034
  2. PMID: 31998314
  3. PMCID: PMC6966967
  4. WOS: 000509268200001

Library Notes

  1. Fiscal Year: FY2019-2020
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