Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome
文献类型:期刊论文
作者 | Teschendorff, Andrew E.1,2,3; Enver, Tariq3; , |
刊名 | NATURE COMMUNICATIONS
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出版日期 | 2017 |
卷号 | 8期号:-页码:15599 |
关键词 | distribution diversity Paracondeellum new species taxonomy type specimen |
ISSN号 | 2041-1723 |
DOI | 10.1038/ncomms15599 |
文献子类 | Article |
英文摘要 | The ability to quantify differentiation potential of single cells is a task of critical importance. Here we demonstrate, using over 7,000 single-cell RNA-Seq profiles, that differentiation potency of a single cell can be approximated by computing the signalling promiscuity, or entropy, of a cell's transcriptome in the context of an interaction network, without the need for feature selection. We show that signalling entropy provides a more accurate and robust potency estimate than other entropy-based measures, driven in part by a subtle positive correlation between the transcriptome and connectome. Signalling entropy identifies known cell subpopulations of varying potency and drug resistant cancer stem-cell phenotypes, including those derived from circulating tumour cells. It further reveals that expression heterogeneity within single-cell populations is regulated. In summary, signalling entropy allows in silico estimation of the differentiation potency and plasticity of single cells and bulk samples, providing a means to identify normal and cancer stem-cell phenotypes. |
学科主题 | Science & Technology - Other Topics |
WOS关键词 | EMBRYONIC STEM-CELLS ; GENE-EXPRESSION DATA ; RNA-SEQ ; ENERGY-METABOLISM ; SIGNALING ENTROPY ; REGULATORS ; REVEALS ; CANCER ; HETEROGENEITY ; MAINTENANCE |
语种 | 英语 |
CSCD记录号 | CSCD:31636496 |
WOS记录号 | WOS:000402513600001 |
出版者 | NATURE PUBLISHING GROUP |
版本 | 出版稿 |
源URL | [http://202.127.25.144/handle/331004/1259] ![]() |
专题 | 中国科学院上海生命科学研究院营养科学研究所 |
作者单位 | 1.Shanghai Inst Biol Sci, CAS MPG Partner Inst Computat Biol, CAS Key Lab Computat Biol, 320 Yue Yang Rd, Shanghai 200031, Peoples R China; 2.UCL, Dept Womens Canc, 74 Huntley St, London WC1E 6AU, England; 3.UCL, UCL Canc Inst, Paul OGorman Bldg,72 Huntley St, London WC1E 6BT, England, |
推荐引用方式 GB/T 7714 | Teschendorff, Andrew E.,Enver, Tariq,,. Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome[J]. NATURE COMMUNICATIONS,2017,8(-):15599. |
APA | Teschendorff, Andrew E.,Enver, Tariq,&,.(2017).Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome.NATURE COMMUNICATIONS,8(-),15599. |
MLA | Teschendorff, Andrew E.,et al."Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome".NATURE COMMUNICATIONS 8.-(2017):15599. |
入库方式: OAI收割
来源:上海营养与健康研究所
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