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The fidelity of transcription in human cells

  1. Author:
    Chung, Claire
    Verheijen, Bert M
    Zhang, Xinmin [ORCID]
    Huang, Biao
    Coakley, Aeowynn
    McGann, Eric
    Wade, Emily
    Dinep-Schneider, Olivia
    LaGosh, Jessica
    Anagnostou, Maria-Eleni
    Simpson, Stephen
    Thomas, Kelly [ORCID]
    Ernst, Mimi
    Rattray, Allison
    Lynch, Michael [ORCID]
    Kashlev,Mikhail [ORCID]
    Benayoun, Berenice A
    Li, Zhongwei
    Strathern,Jeffrey
    Gout, Jean-Francois [ORCID]
    Vermulst, Marc
  2. Author Address

    University of Southern California, Leonard Davis School of Gerontology, Los Angeles, CA 90089., BioinforX, Madison, WI 53719., Keck School of Medicine of University of Southern California, Department of Stem Cell Biology and Regenerative Medicine, Los Angeles, CA 90033., Keck School of Medicine of University of Southern California, Department of Medicine, Los Angeles, CA 90033., Mississippi State University, Department of Biological Sciences, Mississippi State, MS 39762., University of New Hampshire, Department of Molecular, Cellular, & Biomedical Sciences, Durham, NH 03824., National Cancer Institute, Center for Cancer Research, Division of RNA Biology, Frederick, MD 21702-1201., Biodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ 85287.,
    1. Year: 2023
    2. Date: Jan 31
    3. Epub Date: 2023 01 25
  1. Journal: Proceedings of the National Academy of Sciences of the United States of America
    1. 120
    2. 5
    3. Pages: e2210038120
  2. Type of Article: Article
  3. Article Number: e2210038120
  1. Abstract:

    To determine the error rate of transcription in human cells, we analyzed the transcriptome of H1 human embryonic stem cells with a circle-sequencing approach that allows for high-fidelity sequencing of the transcriptome. These experiments identified approximately 100,000 errors distributed over every major RNA species in human cells. Our results indicate that different RNA species display different error rates, suggesting that human cells prioritize the fidelity of some RNAs over others. Cross-referencing the errors that we detected with various genetic and epigenetic features of the human genome revealed that the in 160;vivo error rate in human cells changes along the length of a transcript and is further modified by genetic context, repetitive elements, epigenetic markers, and the speed of transcription. Our experiments further suggest that BRCA1, a DNA repair protein implicated in breast cancer, has a previously unknown role in the suppression of transcription errors. Finally, we analyzed the distribution of transcription errors in multiple tissues of a new mouse model and found that they occur preferentially in neurons, compared to other cell types. These observations lend additional weight to the idea that transcription errors play a key role in the progression of various neurological disorders, including Alzheimer 39;s disease.

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External Sources

  1. DOI: 10.1073/pnas.2210038120
  2. PMID: 36696440

Library Notes

  1. Fiscal Year: FY2022-2023
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