IVPP-IR
Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity
Liu, Longqi1,2,3; Liu, Chuanyu1,2,4; Quintero, Andres5,6; Wu, Liang1,2,4; Yuan, Yue1,2,4; Wang, Mingyue1,2,4; Cheng, Mengnan1,2,4; Leng, Lizhi7,8; Xu, Liqin1,2; Dong, Guoyi1,2; Li, Rui1,2,3; Liu, Yang1,2,4; Wei, Xiaoyu1,2,4; Xu, Jiangshan1,2,4; Chen, Xiaowei2; Lu, Haorong2; Chen, Dongsheng1,2; Wang, Quanlei1,2,4; Zhou, Qing1,2; Lin, Xinxin1,2; Li, Guibo1,2; Liu, Shiping1,2; Wang, Qi5; Wang, Hongru9; Fink, J. Lynn1; Gao, Zhengliang10; Liu, Xin1,2; Hou, Yong1,2; Zhu, Shida1,2; Yang, Huanming11; Ye, Yunming3; Lin, Ge12; Chen, Fang1,2,13; Herrmann, Carl5,6; Eils, Roland6,14; Shang, Zhouchun1,2,10; Xu, Xun1,2,15
2019-01-28
发表期刊NATURE COMMUNICATIONS
ISSN2041-1723
卷号10页码:10
通讯作者Eils, Roland(roland.eils@bihealth.de) ; Shang, Zhouchun(shangzhouchun@genomics.cn) ; Xu, Xun(xuxun@genomics.cn)
摘要Integrative analysis of multi-omics layers at single cell level is critical for accurate dissection of cell-to-cell variation within certain cell populations. Here we report scCAT-seq, a technique for simultaneously assaying chromatin accessibility and the transcriptome within the same single cell. We show that the combined single cell signatures enable accurate construction of regulatory relationships between cis-regulatory elements and the target genes at single-cell resolution, providing a new dimension of features that helps direct discovery of regulatory patterns specific to distinct cell identities. Moreover, we generate the first single cell integrated map of chromatin accessibility and transcriptome in early embryos and demonstrate the robustness of scCAT-seq in the precise dissection of master transcription factors in cells of distinct states. The ability to obtain these two layers of omics data will help provide more accurate definitions of "single cell state" and enable the deconvolution of regulatory heterogeneity from complex cell populations.
DOI10.1038/s41467-018-08205-7
关键词[WOS]GENOME-WIDE DETECTION ; CHROMATIN ACCESSIBILITY ; NUCLEOTIDE ; EMBRYOS ; NUMBER
收录类别SCI
语种英语
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA16010402] ; Shenzhen Municipal Government of China Peacock Plan[KQTD20150330171505310] ; Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics[DRC-SZ (2016) 884] ; China Postdoctoral Science Foundation[2017M610553] ; NCT3.0/DKFZ grant within the ENHANCE project
项目资助者Strategic Priority Research Program of the Chinese Academy of Sciences ; Shenzhen Municipal Government of China Peacock Plan ; Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics ; China Postdoctoral Science Foundation ; NCT3.0/DKFZ grant within the ENHANCE project
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000456829100006
出版者NATURE PUBLISHING GROUP
引用统计
文献类型期刊论文
条目标识符http://119.78.100.205/handle/311034/9254
专题中国科学院古脊椎动物与古人类研究所
通讯作者Eils, Roland; Shang, Zhouchun; Xu, Xun
作者单位1.BGI Shenzhen, Shenzhen 518083, Peoples R China
2.BGI Shenzhen, China Natl GeneBank, Shenzhen 518120, Peoples R China
3.Xili Univ Town, Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
4.Univ Chinese Acad Sci, BGI Educ Ctr, Shenzhen 518083, Peoples R China
5.Div Theoret Bioinformat German Canc Res Ctr DKFZ, D-69120 Heidelberg, Germany
6.Univ Heidelberg Hosp, Hlth Data Sci Unit, D-69120 Heidelberg, Germany
7.Cent S Univ, Inst Reprod & Stem Cell Engn, Changsha 410078, Hunan, Peoples R China
8.Minist Hlth, Key Lab Stem Cells & Reprod Engn, Changsha 410078, Hunan, Peoples R China
9.Chinese Acad Sci, Inst Vertebrate Paleontol & Paleoanthropol, Beijing 100044, Peoples R China
10.Tongji Univ, Dept Regenerat Med, Sch Med, Shanghai 200092, Peoples R China
11.James D Watson Inst Genome Sci, Hangzhou 310013, Zhejiang, Peoples R China
12.Natl Engn & Res Ctr Human Stem Cell, Changsha 410078, Hunan, Peoples R China
13.Univ Copenhagen, Dept Biol, Lab Genom & Mol Biomed, DK-2100 Copenhagen, Denmark
14.Berlin Inst Hlth & Charite, Ctr Digital Hlth, D-10117 Berlin, Germany
15.Chinese Acad Sci, Inst Stem Cell & Regenerat, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Liu, Longqi,Liu, Chuanyu,Quintero, Andres,et al. Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity[J]. NATURE COMMUNICATIONS,2019,10:10.
APA Liu, Longqi.,Liu, Chuanyu.,Quintero, Andres.,Wu, Liang.,Yuan, Yue.,...&Xu, Xun.(2019).Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity.NATURE COMMUNICATIONS,10,10.
MLA Liu, Longqi,et al."Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity".NATURE COMMUNICATIONS 10(2019):10.
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