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Identification of Pou5f1, Sox2, and Nanog downstream target genes with statistical confidence by applying a novel algor

ChEBI2008-04-24 更新2026-07-21 收录

干细胞转录调控

癌症基因靶点预测

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-8617 数据链接链接失效反馈

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Identification of Pou5f1, Sox2, and Nanog downstream target genes with statistical confidence by applying a novel algor

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创建时间：

2008-04-24

干细胞转录调控

果蝇神经干细胞研究

The transcriptional mechanisms that allow neural stem cells (NSC) to balance self-renewal with differentiation are not well understood. We identify here a unique subset of TATA -binding protein associ

NIAID Data Ecosystem60

TRANSMODIS and MODEM results on ten simulated data sets.

癌症基因靶点预测

基因调控网络

*The ratio A/B indicates that the method predicted a total of B genes as direct targets and out of these B genes, A genes were true targets.

NIAID Data Ecosystem50

Characterization of Sox15 binding occupancy and gene expression (RNA-Seq)

干细胞转录调控

神经分化机制

SOX15 and SOX2 are Sox family transcription factors (TFs) enriched in embryonic stem cells (ESCs). The role of SOX2 in activating gene expression programs essential for stem cell self-renewal and acqu

NIAID Data Ecosystem40

Development of a method for quantitative analysis of in vivo interactions of pluripotency transcription factors Sox2, Oct4, Nanog by mass spectrometry

干细胞转录调控

蛋白质相互作用动态分析

Protein-protein proximity of core pluripotency transcription factors plays an important role during cell reprogramming. Pluripotent embryonic stem (ES) cell identity is controlled by a trio of transcr

NIAID Data Ecosystem50

MYSM1 maintains ribosomal protein gene expression in hematopoietic stem cells to prevent hematopoietic dysfunction I.

干细胞转录调控

核糖体蛋白基因

MYSM1 is a transcriptional regulator essential for HSC function and hematopoiesis. We established that HSC dysfunction in Mysm1-deficiency is driven by p53 stress response, however, the molecular func

NIAID Data Ecosystem40

Identification of Pou5f1, Sox2, and Nanog downstream target genes with statistical confidence by applying a novel algor

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