A single cell gene expression atlas of 28 human livers.
A single cell gene expression atlas of 28 human livers.
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DOI:
10.1016/j.jhep.2021.03.005
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发表时间:
2021-07
影响因子:
25.7
通讯作者:
Vilarinho S
中科院分区:
文献类型:
--
作者:
Brancale J;Vilarinho S
Next-generation sequencing technologies have revolutionized our understanding of human health and disease through its application to DNA and RNA sequencing. The latter comprises single-cell transcriptomics, which enables sequencing of thousands of cells in a single sample and analysis of gene expression of all cells individually. This creates an unbiased approach to assess cell identity and heterogeneity and to uncover rare cell
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影响因子:
16.6
作者:
MacParland SA;Liu JC;Ma XZ;Innes BT;Bartczak AM;Gage BK;Manuel J;Khuu N;Echeverri J;Linares I;Gupta R;Cheng ML;Liu LY;Camat D;Chung SW;Seliga RK;Shao Z;Lee E;Ogawa S;Ogawa M;Wilson MD;Fish JE;Selzner M;Ghanekar A;Grant D;Greig P;Sapisochin G;Selzner N;Winegarden N;Adeyi O;Keller G;Bader GD;McGilvray ID
通讯作者:
McGilvray ID
影响因子:
64.8
作者:
Aizarani, Nadim;Saviano, Antonio;Gruen, Dominic
通讯作者:
Gruen, Dominic
影响因子:
64.5
作者:
Stuart, Tim;Butler, Andrew;Satija, Rahul
通讯作者:
Satija, Rahul
影响因子:
16.6
作者:
Segal, Joe M.;Kent, Deniz;Rashid, S. Tamir
通讯作者:
Rashid, S. Tamir
影响因子:
7.3
作者:
Tamburini, Beth A. Jiron;Finlon, Jeffrey M.;Burchill, Matthew A.
通讯作者:
Burchill, Matthew A.