An ATAC-seq atlas of chromatin accessibility in mouse tissues.


Journal

Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192

Informations de publication

Date de publication:
20 May 2019
Historique:
received: 29 11 2018
accepted: 10 04 2019
entrez: 22 5 2019
pubmed: 22 5 2019
medline: 15 8 2020
Statut: epublish

Résumé

The Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) is a fundamental epigenomics approach and has been widely used in profiling the chromatin accessibility dynamics in multiple species. A comprehensive reference of ATAC-seq datasets for mammalian tissues is important for the understanding of regulatory specificity and developmental abnormality caused by genetic or environmental alterations. Here, we report an adult mouse ATAC-seq atlas by producing a total of 66 ATAC-seq profiles from 20 primary tissues of both male and female mice. The ATAC-seq read enrichment, fragment size distribution, and reproducibility between replicates demonstrated the high quality of the full dataset. We identified a total of 296,574 accessible elements, of which 26,916 showed tissue-specific accessibility. Further, we identified key transcription factors specific to distinct tissues and found that the enrichment of each motif reflects the developmental similarities across tissues. In summary, our study provides an important resource on the mouse epigenome and will be of great importance to various scientific disciplines such as development, cell reprogramming, and genetic disease.

Identifiants

pubmed: 31110271
doi: 10.1038/s41597-019-0071-0
pii: 10.1038/s41597-019-0071-0
pmc: PMC6527694
doi:

Substances chimiques

Chromatin 0
Transcription Factors 0
Transposases EC 2.7.7.-

Types de publication

Dataset Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

65

Références

Cell. 2007 Feb 23;128(4):707-19
pubmed: 17320508
Cell. 2016 Nov 17;167(5):1145-1149
pubmed: 27863232
Nat Commun. 2018 Sep 7;9(1):3647
pubmed: 30194434
Gigascience. 2018 Nov 1;7(11):
pubmed: 30239706
Nat Rev Mol Cell Biol. 2018 Jul;19(7):436-450
pubmed: 29686419
Nature. 2015 Jul 23;523(7561):486-90
pubmed: 26083756
Cell. 2013 Sep 26;155(1):39-55
pubmed: 24074860
Nature. 2015 Feb 19;518(7539):317-30
pubmed: 25693563
Nature. 2009 Aug 27;460(7259):1154-8
pubmed: 19641492
Nat Methods. 2013 Dec;10(12):1213-8
pubmed: 24097267
Mol Cell. 2010 May 28;38(4):576-89
pubmed: 20513432
Science. 2001 Feb 16;291(5507):1304-51
pubmed: 11181995
Mol Metab. 2018 Jan;7:161-170
pubmed: 29122558
Nat Methods. 2017 Oct;14(10):959-962
pubmed: 28846090
Bioinformatics. 2010 Mar 15;26(6):841-2
pubmed: 20110278
Gigascience. 2017 May 1;6(5):1-9
pubmed: 28379488
Proc Natl Acad Sci U S A. 1991 May 1;88(9):3807-11
pubmed: 2023930
Nature. 2013 Oct 24;502(7472):462-71
pubmed: 24153299
Nat Commun. 2018 Dec 17;9(1):5345
pubmed: 30559361
Nat Rev Genet. 2018 May;19(5):299-310
pubmed: 29479082
Cell Rep. 2017 Oct 24;21(4):1077-1088
pubmed: 29069589
Genome Biol. 2019 Feb 21;20(1):42
pubmed: 30791920
Nature. 2014 Nov 20;515(7527):355-64
pubmed: 25409824
Trends Cell Biol. 2018 Mar;28(3):237-253
pubmed: 29217127
Nature. 2012 Sep 6;489(7414):57-74
pubmed: 22955616
Science. 2015 May 22;348(6237):910-4
pubmed: 25953818
Nature. 2012 Aug 2;488(7409):116-20
pubmed: 22763441
Genome Biol. 2008;9(9):R137
pubmed: 18798982
Nat Rev Genet. 2014 Nov;15(11):709-21
pubmed: 25223782
Genome Res. 2008 Jan;18(1):46-59
pubmed: 18042645
Cell. 2013 May 23;153(5):1134-48
pubmed: 23664764
Mol Cell. 2000 Aug;6(2):233-44
pubmed: 10983972
Proc Natl Acad Sci U S A. 2017 Jun 20;114(25):E4934-E4943
pubmed: 28584103
Sci Data. 2016 Dec 20;3:160109
pubmed: 27996962
Genome Biol. 2005;6(4):R33
pubmed: 15833120
Sci Data. 2019 May 20;6(1):65
pubmed: 31110271
Nature. 2001 Feb 15;409(6822):860-921
pubmed: 11237011
Sci Data. 2017 Dec 12;4:170185
pubmed: 29231921
Nat Rev Mol Cell Biol. 2016 Mar;17(3):183-93
pubmed: 26883003
Mol Cell Biol. 1996 Jan;16(1):437-41
pubmed: 8524326
Nat Commun. 2017 Apr 21;8:15089
pubmed: 28429721

Auteurs

Chuanyu Liu (C)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Mingyue Wang (M)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Xiaoyu Wei (X)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Liang Wu (L)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Jiangshan Xu (J)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Xi Dai (X)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Jun Xia (J)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
MGI, BGI-Shenzhen, Shenzhen, 518083, China.

Mengnan Cheng (M)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Yue Yuan (Y)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Pengfan Zhang (P)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Jiguang Li (J)

BGI-Shenzhen, Shenzhen, 518083, China.
MGI, BGI-Shenzhen, Shenzhen, 518083, China.

Taiqing Feng (T)

BGI-Shenzhen, Shenzhen, 518083, China.
MGI, BGI-Shenzhen, Shenzhen, 518083, China.

Ao Chen (A)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Wenwei Zhang (W)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Fang Chen (F)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.
MGI, BGI-Shenzhen, Shenzhen, 518083, China.
Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, Copenhagen, 2100, Denmark.

Zhouchun Shang (Z)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Xiuqing Zhang (X)

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083, China.
BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Brock A Peters (BA)

BGI-Shenzhen, Shenzhen, 518083, China. bpeters@completegenomics.com.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China. bpeters@completegenomics.com.
MGI, BGI-Shenzhen, Shenzhen, 518083, China. bpeters@completegenomics.com.
Advanced Genomics Technology Lab, Complete Genomics Inc., 2904 Orchard Parkway, San Jose, California, 95134, USA. bpeters@completegenomics.com.

Longqi Liu (L)

BGI-Shenzhen, Shenzhen, 518083, China. liulongqi@genomics.cn.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China. liulongqi@genomics.cn.

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