Metastable pluripotent states in NOD mouse derived ES cells
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Metastable pluripotent states in NOD mouse derived ES cells
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创建时间：
2009-04-09
相关数据集
Dido as a switchboard that regulates self-renewal and differentiation in embryonic stem cells (Affy). Mus musculus
Transition from symmetric to asymmetric cell division requires precise coordination of differential gene expression. Embryonic stem cells (ESC) strongly express Dido3, whose C-terminal truncation impe
NIAID Data Ecosystem30
Expression profiling in transgenic FVB/N embryonic stem cells overexpressing STAT3.. Mus musculus
To investigate the importance of STAT3 in the establishment of ES cells we have in a first step derived stable pluripotent embryonic stem cells from transgenic FVB mice expressing a conditional tamoxi
NIAID Data Ecosystem20
Genome binding/occuoancy profiling by high throughout sequencing in Wild Type and ID1/3 double knockout hESCs. Genome binding/occuoancy profiling by high throughout sequencing in Wild Type and ID1/3 double knockout hESCs
TCF3 belongs to E protein family and has the function of transcription factor. TCF3 can directly interact with HLH family proteins ID1 and ID3 to play biological functions. ID1 and ID3 do not have the
NIAID Data Ecosystem10
RNA-Seq after knockdown of the core pluripotency transcription factors OCT4, SOX2, and NANOG in TE03 (I3) human embryonic stem cells (hESCs). RNA-Seq after knockdown of the core pluripotency transcription factors OCT4, SOX2, and NANOG in TE03 human embryonic stem cells (hESCs)
The OCT4, NANOG and SOX2 transcription factors (TFs) are at the core of the pluripotency program, activating the expression of pluripotency genes and repressing lineage-specific genes, many of which a
NIAID Data Ecosystem20
METTL3-dependent m6A RNA methylation represses transposable elements derived enhancers to suppress naïve pluripotency in human pluripotent stem cells [RNA-Seq]
Using a METTL3 inducible knockout (iKO) system in human expanded potential stem cells (hEPSCs), we uncovered that unlike in mESCs, METTL3 was indispensable for hPSCs' maintenance, and that loss of MET
NIAID Data Ecosystem10
