Consensus comparative analysis of human embryonic stem cell-derived cardiomyocytes.
Consensus comparative analysis of human embryonic stem cell-derived cardiomyocytes.
复制标题
人胚胎干细胞来源的心肌细胞的共识比较分析
DOI:
10.1371/journal.pone.0125442
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Wong HS
中科院分区:
文献类型:
--
作者:
Zhang S;Poon E;Xie D;Boheler KR;Li RA;Wong HS
Global transcriptional analyses have been performed with human embryonic stem cells (hESC) derived cardiomyocytes (CMs) to identify molecules and pathways important for human CM differentiation, but variations in culture and profiling conditions have led to greatly divergent results among different studies. Consensus investigation to identify genes and gene sets enriched in multiple studies is important for revealing differential gene expression intrinsic to human CM differentiation independent of the above variables, but reliable methods of conducting such comparison are lacking. We examined differential gene expression between hESC and hESC-CMs from multiple microarray studies. For single gene analysis, we identified genes that were expressed at increased levels in hESC-CMs in seven datasets and which have not been previously highlighted. For gene set analysis, we developed a new algorithm, consensus comparative analysis (CSSCMP), capable of evaluating enrichment of gene sets from heterogeneous data sources. Based on both theoretical analysis and experimental validation, CSSCMP is more efficient and less susceptible to experimental variations than traditional methods. We applied CSSCMP to hESC-CM microarray data and revealed novel gene set enrichment (e.g., glucocorticoid stimulus), and also identified genes that might mediate this response. Our results provide important molecular information intrinsic to hESC-CM differentiation. Data and Matlab codes can be downloaded from S1 Data.
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DOI:
10.1161/circheartfailure.110.958694
发表时间:
2011-03
期刊:
Circulation. Heart failure
影响因子:
--
作者:
Landstrom AP;Kellen CA;Dixit SS;van Oort RJ;Garbino A;Weisleder N;Ma J;Wehrens XH;Ackerman MJ
通讯作者:
Ackerman MJ
影响因子:
3.7
作者:
Fu JD;Rushing SN;Lieu DK;Chan CW;Kong CW;Geng L;Wilson KD;Chiamvimonvat N;Boheler KR;Wu JC;Keller G;Hajjar RJ;Li RA
通讯作者:
Li RA
影响因子:
3.7
作者:
RAND, WM
通讯作者:
RAND, WM
影响因子:
5.8
作者:
Berriz, GF;King, OD;Roth, FP
通讯作者:
Roth, FP
影响因子:
5
作者:
Qin, Mu;Huang, He;Huang, Congxin
通讯作者:
Huang, Congxin