Literature DB >> 34746802

Altered Chromatin States Drive Cryptic Transcription in Aging Mammalian Stem Cells.

Brenna S McCauley1, Luyang Sun1, Ruofan Yu1, Minjung Lee2,3, Haiying Liu1, Dena S Leeman4,5, Yun Huang2, Ashley E Webb6, Weiwei Dang1.   

Abstract

A repressive chromatin state featuring trimethylated lysine 36 on histone H3 (H3K36me3) and DNA methylation suppresses cryptic transcription in embryonic stem cells. Cryptic transcription is elevated with age in yeast and nematodes, and reducing it extends yeast lifespan, though whether this occurs in mammals is unknown. We show that cryptic transcription is elevated in aged mammalian stem cells, including murine hematopoietic stem cells (mHSCs) and neural stem cells (NSCs) and human mesenchymal stem cells (hMSCs). Precise mapping allowed quantification of age-associated cryptic transcription in hMSCs aged in vitro. Regions with significant age-associated cryptic transcription have a unique chromatin signature: decreased H3K36me3 and increased H3K4me1, H3K4me3, and H3K27ac with age. Genomic regions undergoing such changes resemble known promoter sequences and are bound by TBP even in young cells. Hence, the more permissive chromatin state at intragenic cryptic promoters likely underlies increased cryptic transcription in aged mammalian stem cells.

Entities:  

Year:  2021        PMID: 34746802      PMCID: PMC8570536          DOI: 10.1038/s43587-021-00091-x

Source DB:  PubMed          Journal:  Nat Aging        ISSN: 2662-8465


  76 in total

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Authors:  Ming Zhan; Haruyoshi Yamaza; Yu Sun; Jason Sinclair; Huai Li; Sige Zou
Journal:  Genome Res       Date:  2007-07-10       Impact factor: 9.043

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Authors:  Dena S Leeman; Katja Hebestreit; Tyson Ruetz; Ashley E Webb; Andrew McKay; Elizabeth A Pollina; Ben W Dulken; Xiaoai Zhao; Robin W Yeo; Theodore T Ho; Salah Mahmoudi; Keerthana Devarajan; Emmanuelle Passegué; Thomas A Rando; Judith Frydman; Anne Brunet
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Journal:  Cell       Date:  2005-11-18       Impact factor: 41.582

4.  Selective inhibition of tumor oncogenes by disruption of super-enhancers.

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Journal:  Cell       Date:  2013-04-11       Impact factor: 41.582

5.  A scaling normalization method for differential expression analysis of RNA-seq data.

Authors:  Mark D Robinson; Alicia Oshlack
Journal:  Genome Biol       Date:  2010-03-02       Impact factor: 13.583

6.  Impaired adipogenic capacity in induced pluripotent stem cells from lipodystrophic patients with BSCL2 mutations.

Authors:  Eisaku Mori; Junji Fujikura; Michio Noguchi; Kazuhiro Nakao; Masaki Matsubara; Masakatsu Sone; Daisuke Taura; Toru Kusakabe; Ken Ebihara; Takayuki Tanaka; Kiminori Hosoda; Kazutoshi Takahashi; Isao Asaka; Nobuya Inagaki; Kazuwa Nakao
Journal:  Metabolism       Date:  2016-01-07       Impact factor: 8.694

7.  Epigenomic profiling of young and aged HSCs reveals concerted changes during aging that reinforce self-renewal.

Authors:  Deqiang Sun; Min Luo; Mira Jeong; Benjamin Rodriguez; Zheng Xia; Rebecca Hannah; Hui Wang; Thuc Le; Kym F Faull; Rui Chen; Hongcang Gu; Christoph Bock; Alexander Meissner; Berthold Göttgens; Gretchen J Darlington; Wei Li; Margaret A Goodell
Journal:  Cell Stem Cell       Date:  2014-05-01       Impact factor: 24.633

8.  regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests.

Authors:  Bernat Gel; Anna Díez-Villanueva; Eduard Serra; Marcus Buschbeck; Miguel A Peinado; Roberto Malinverni
Journal:  Bioinformatics       Date:  2015-09-30       Impact factor: 6.937

9.  The ENCODE Blacklist: Identification of Problematic Regions of the Genome.

Authors:  Haley M Amemiya; Anshul Kundaje; Alan P Boyle
Journal:  Sci Rep       Date:  2019-06-27       Impact factor: 4.379

10.  Histone methyltransferase SETD2 coordinates FACT recruitment with nucleosome dynamics during transcription.

Authors:  Sílvia Carvalho; Ana Cláudia Raposo; Filipa Batalha Martins; Ana Rita Grosso; Sreerama Chaitanya Sridhara; José Rino; Maria Carmo-Fonseca; Sérgio Fernandes de Almeida
Journal:  Nucleic Acids Res       Date:  2013-01-15       Impact factor: 16.971

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