SCENIC: single-cell regulatory network inference and clustering

被引：68

作者：

Aibar, Sara ^{[1
,2
]}

Gonzalez-Blas, Carmen Bravo ^{[1
,2
]}

Moerman, Thomas ^{[3
,4
]}

Van Anh Huynh-Thu ^{[5
]}

Imrichova, Hana ^{[1
,2
]}

Hulselmans, Gert ^{[1
,2
]}

Rambow, Florian ^{[6
,7
]}

Marine, Jean-Christophe ^{[6
,7
]}

Geurts, Pierre ^{[5
]}

Aerts, Jan ^{[3
,4
]}

van den Oord, Joost ^{[8
]}

Atak, Zeynep Kalender ^{[1
,2
]}

Wouters, Jasper ^{[1
,2
,8
]}

Aerts, Stein ^{[1
,2
]}

机构：

[1] VIB, Lab Computat Biol, Ctr Brain & Dis Res, Leuven, Belgium

[2] Katholieke Univ Leuven, Dept Human Genet, Leuven, Belgium

[3] Katholieke Univ Leuven, ESAT STADIUS, VDA Lab, Leuven, Belgium

[4] IMEC, Smart Applicat & Innovat Serv, Leuven, Belgium

[5] Univ Liege, Dept Elect Engn & Comp Sci, Liege, Belgium

[6] VIB, Lab Mol Canc Biol, Ctr Canc Biol, Leuven, Belgium

[7] Katholieke Univ Leuven, Dept Oncol, Leuven, Belgium

[8] Katholieke Univ Leuven, Dept Imaging & Pathol Translat Cell & Tissue Res, Leuven, Belgium

来源：

NATURE METHODS | 2017年 / 14卷 / 11期

基金：

比利时弗兰德研究基金会;

关键词：

RNA-SEQ; GENE-EXPRESSION; HUMAN BRAIN; HETEROGENEITY; DIVERSITY; GENOMICS; MELANOMA; CANCER; NFIB; AGE;

D O I：

10.1038/NMETH.4463

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We present SCENIC, a computational method for simultaneous gene regulatory network reconstruction and cell-state identification from single-cell RNA-seq data (http://scenic.aertslab.org). On a compendium of single-cell data from tumors and brain, we demonstrate that cis-regulatory analysis can be exploited to guide the identification of transcription factors and cell states. SCENIC provides critical biological insights into the mechanisms driving cellular heterogeneity.

引用

页码：1083 / +

页数：8

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