Densely interconnected transcriptional circuits control cell states in human hematopoiesis
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Densely interconnected transcriptional circuits control cell states in human hematopoiesis
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创建时间：
2011-01-21
相关数据集
Additional file 6 of Comprehensive network modeling from single cell RNA sequencing of human and mouse reveals well conserved transcription regulation of hematopoiesis
Additional file 6: Supplemental file 2. The gene regulatory network with threshold of 3
Figshare2020-12-30 更新50
Identification of transcription factors dictating blood cell development using a bidirectional transcription network-based computational framework [RNAseq_THP1_GSK-LSD1]. Identification of transcription factors dictating blood cell development using a bidirectional transcription network-based computational framework [RNAseq_THP1_GSK-LSD1]
Genome-wide transcription factor binding profiles provide valuable insights into hematopoietic development and malignancies. Today, advanced computational methods exploit cis-regulatory information to
NIAID Data Ecosystem20
Densely interconnected transcriptional circuits control cell states in human hematopoiesis
Tremendous progress has been made in identifying individual transcription factors that regulate hematopoietic differentiation, but many aspects of the global architecture of hematopoiesis remain unkno
NIAID Data Ecosystem20
Myb is regulated by -81 enhancer eRNA transcript Myrlin through recruitment of MLL1 complex. Myb is regulated by -81 enhancer eRNA transcript Myrlin through recruitment of MLL1 complex
The Myb proto-oncogene encodes the transcription factor c-MYB, which is critical for the proliferation and differentiation of hematopoietic stem and progenitor cells. Distant enhancers of Myb expressi
NIAID Data Ecosystem40
Transcription factor ChIP-seq in expanded human hematopoietic stem and progenitor cells. Homo sapiens
While many individual transcription factors are known to regulate hematopoietic differentiation, major aspects of the global architecture of hematopoiesis remain unknown. Here, we profiled gene expres
NIAID Data Ecosystem20
