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The fidelity of transcription in human cells

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 ever...

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Autores principales: Chung, Claire, Verheijen, Bert M., Zhang, Xinmin, Huang, Biao, Coakley, Aeowynn, McGann, Eric, Wade, Emily, Dinep-Schneider, Olivia, LaGosh, Jessica, Anagnostou, Maria-Eleni, Simpson, Stephen, Thomas, Kelly, Ernst, Mimi, Rattray, Allison, Lynch, Michael, Kashlev, Mikhail, Benayoun, Berenice A., Li, Zhongwei, Strathern, Jeffrey, Gout, Jean-Francois, Vermulst, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945944/
https://www.ncbi.nlm.nih.gov/pubmed/36696440
http://dx.doi.org/10.1073/pnas.2210038120
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author Chung, Claire
Verheijen, Bert M.
Zhang, Xinmin
Huang, Biao
Coakley, Aeowynn
McGann, Eric
Wade, Emily
Dinep-Schneider, Olivia
LaGosh, Jessica
Anagnostou, Maria-Eleni
Simpson, Stephen
Thomas, Kelly
Ernst, Mimi
Rattray, Allison
Lynch, Michael
Kashlev, Mikhail
Benayoun, Berenice A.
Li, Zhongwei
Strathern, Jeffrey
Gout, Jean-Francois
Vermulst, Marc
author_facet Chung, Claire
Verheijen, Bert M.
Zhang, Xinmin
Huang, Biao
Coakley, Aeowynn
McGann, Eric
Wade, Emily
Dinep-Schneider, Olivia
LaGosh, Jessica
Anagnostou, Maria-Eleni
Simpson, Stephen
Thomas, Kelly
Ernst, Mimi
Rattray, Allison
Lynch, Michael
Kashlev, Mikhail
Benayoun, Berenice A.
Li, Zhongwei
Strathern, Jeffrey
Gout, Jean-Francois
Vermulst, Marc
author_sort Chung, Claire
collection PubMed
description 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 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’s disease.
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spelling pubmed-99459442023-07-25 The fidelity of transcription in human cells Chung, Claire Verheijen, Bert M. Zhang, Xinmin Huang, Biao Coakley, Aeowynn McGann, Eric Wade, Emily Dinep-Schneider, Olivia LaGosh, Jessica Anagnostou, Maria-Eleni Simpson, Stephen Thomas, Kelly Ernst, Mimi Rattray, Allison Lynch, Michael Kashlev, Mikhail Benayoun, Berenice A. Li, Zhongwei Strathern, Jeffrey Gout, Jean-Francois Vermulst, Marc Proc Natl Acad Sci U S A Biological Sciences 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 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’s disease. National Academy of Sciences 2023-01-25 2023-01-31 /pmc/articles/PMC9945944/ /pubmed/36696440 http://dx.doi.org/10.1073/pnas.2210038120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Chung, Claire
Verheijen, Bert M.
Zhang, Xinmin
Huang, Biao
Coakley, Aeowynn
McGann, Eric
Wade, Emily
Dinep-Schneider, Olivia
LaGosh, Jessica
Anagnostou, Maria-Eleni
Simpson, Stephen
Thomas, Kelly
Ernst, Mimi
Rattray, Allison
Lynch, Michael
Kashlev, Mikhail
Benayoun, Berenice A.
Li, Zhongwei
Strathern, Jeffrey
Gout, Jean-Francois
Vermulst, Marc
The fidelity of transcription in human cells
title The fidelity of transcription in human cells
title_full The fidelity of transcription in human cells
title_fullStr The fidelity of transcription in human cells
title_full_unstemmed The fidelity of transcription in human cells
title_short The fidelity of transcription in human cells
title_sort fidelity of transcription in human cells
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945944/
https://www.ncbi.nlm.nih.gov/pubmed/36696440
http://dx.doi.org/10.1073/pnas.2210038120
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