Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

46 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-scale analysis in blood progenitor and mast cells reveals how lineage-affiliated transcription factors control distinct regulatory programs [ChIP-Seq/RNA-Seq Experiments]

ABSTRACT: Despite major advances in the generation of genome-wide binding maps, the mechanisms by which transcription factors (TFs) regulate cell type identity have remained largely obscure. Through comparative analysis of 10 key haematopoietic TFs in both mast cells and blood progenitors, we demonstrate that the largely cell-type specific binding profiles are not opportunistic, but instead contribute to cell-type specific transcriptional control, because (1) mathematical modelling of differential binding of shared TFs can explain differential gene expression, (2) cell-type specific binding is largely mediated through consensus binding sites, and (3) knock-down of blood stem cell regulators Gata2 and Erg in mast cells reveals mast cell specific genes as direct targets. Finally we show that the known mast cell regulators Mitf and c-Fos likely contribute to the global reorganisation of TF binding profiles. Taken together therefore, our study elucidates how key regulatory TFs contribute to transcriptional programmes in several distinct mammalian cell types. Comparison of HPC7 cell line (haematopoietic multipotent progenitor) and primary mast cells. 10 key haematopoietic transcription factors and mRNA expression were profiled in both cell types.

ORGANISM(S): Mus musculus

SUBMITTER: Felicia Ng

PROVIDER: E-GEOD-48085 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

High-throughput single cell gene expression analysis in primary blood stem and progenitor cells identifies new links between key transcriptional regulators

Project description:Cellular decision-making is mediated by a complex interplay of external stimuli with the intracellular environment, in particular transcription factor regulatory networks. Here we have determined the expression of a network of 18 key haematopoietic transcription factors (TFs) in 597 single primary blood stem and progenitor cells isolated from mouse bone marrow. We demonstrate that different stem/progenitor populations are characterised by distinctive TF expression states, and through comprehensive bioinformatic analysis reveal positively and negatively correlated TF pairings, including previously unrecognised relationships between Gata2, Gfi1 and Gfi1b. Validation using transcriptional and transgenic assays confirmed direct regulatory interactions consistent with a novel regulatory triad in immature blood stem cells, where Gata2 may function to modulate cross-inhibition between Gfi1 and Gfi1b. Single cell expression profiling therefore identifies network states and allows reconstruction of network hierarchies involved in controlling stem cell fate choices, and provides a blueprint for studying both normal development and human disease. Examination of Gata2 and Gfi1 binding patterns in murine mast cells

2013-04-24 | E-GEOD-42518 | biostudies-arrayexpress

Hierarchy within the mammary STAT5-driven Wap super-enhancer

Project description:Super-enhancers comprise of dense transcription factor platforms highly enriched for active chromatin marks. A paucity of functional data led us to investigate their role in the mammary gland, an organ characterized by exceptional gene regulatory dynamics during pregnancy. ChIP-Seq for the master regulator STAT5, the glucocorticoid receptor, H3K27ac and MED1, identified 440 mammary-specific super-enhancers, half of which were associated with genes activated during pregnancy. We interrogated the Wap super-enhancer, generating mice carrying mutations in STAT5 binding sites within its three constituent enhancers. Individually, only the most distal site displayed significant enhancer activity. However, combinatorial mutations showed that the 1,000-fold gene induction relied on all enhancers. Disabling the binding sites of STAT5, NFIB and ELF5 in the proximal enhancer incapacitated the entire super-enhancer, suggesting an enhancer hierarchy. The identification of mammary-specific super-enhancers and the mechanistic exploration of the Wap locus provide insight into the complexity of cell-specific and hormone-regulated genes. ChIP-Seq for STAT5A, GR, H3K27ac, MED1, NFIB, ELF5, RNA Pol II, and H3K4me3 in wild type (WT) mammary tissues at day one of lactation (L1), and ChIP-Seq for STAT5A, GR, H3K27ac, MED1, NFIB, ELF5, and H3K4me3 in WT mammary tissues at day 13 of pregnancy (p13). ChIP-Seq for STAT5A, GR, H3K27a in Wap-delE1a, -delE1b, -delE1c, -delE2 and -delE3 mutant mammary tissues at L1, and ChIP-Seq for NFIB and ELF5 in Wap-delE1b and -delE1c mutant mammary tissues at L1. ChIP-Seq for H3K4me3 in mammary-epthelial cells at p13 and L1. DNase-seq in WT mammary tissues at L1 and DNase-seq in Wap-delE1a, -delE1c, and -delE3 mutant mammary tissues at L1.

2016-05-31 | E-GEOD-74826 | biostudies-arrayexpress

Impact of STAT5 dosage and binding location on genetic and biological programs activated in mouse mammary epithelium during pregnancy.

Project description:The transcription factor STAT5 has long been recognized as an important mediator of prolactin induced mammary development during pregnancy. We have used mouse genetics and genome-wide analyses to determine how altering concentrations of STAT5A and STAT5B impacts different target promoters. Examination of genome-wide STAT5A, STAT5B, PolII and H3K4me3 in wild type (AABB) and Stat5a-null (BB) mammary tissues.

2012-09-18 | E-GEOD-40930 | biostudies-arrayexpress

Batf3 maintains Irf8 autoactivation for commitment of a novel clonogenic progenitor of CD8+DCs

Project description:The transcription factors Batf3 and IRF8 are required for development of CD8α+ conventional dendritic cells (cDCs), but the basis for their actions was unclear. Here, we identify two novel Zbtb46+ progenitors that separately generate CD8α+ and CD4+ cDCs and arise directly from the common DC progenitor (CDP). Irf8 expression in the CDP depends on prior PU.1-dependent autoactivation, and specification of pre-CD8 DC progenitors requires IRF8 but not Batf3. However, upon pre-CD8 DC specification, Irf8 autoactivation becomes Batf3-dependent at a CD8α+ cDC-specific enhancer containing multiple AP1-IRF composite elements (AICEs) within the Irf8 superenhancer. CDPs from Batf3-/- mice that specify toward pre-CD8 DCs fail to complete CD8α+ cDC development due to decay of Irf8 autoactivation, and divert to the CD4+ cDC lineage. Examination of histone modifications (H3K27ac and H3K4me1) and 2 transcription factors (Batf3 and Irf8) and the p300 co-factor binding in 3 different dendritic cell subsets

2015-06-08 | E-GEOD-66899 | biostudies-arrayexpress

Genome-wide maps of C/EBPbeta, MLL4 and histone modifications in C/EBPbeta-overexpressed WT and MLL4-/- brown preadipocytes

Project description:Enhancers play a central role in cell-type-specific gene expression and are marked by H3K4me1/2. Active enhancers are further marked by H3K27ac. However, the methyltransferases responsible for the deposition of H3K4me1/2 on enhancers remain elusive. Furthermore, the functions of these methyltransferases on enhancers and associated cell-type-specific gene expression are poorly understood. Here, we identify MLL4 (KMT2D) as a major H3K4 mono- and di-methyltransferase in mammalian cells. Using adipogenesis and myogenesis as model systems, we show that MLL4 exhibits cell-type- and differentiation-stage-specific genomic binding and is predominantly localized on enhancers. MLL4 co-localizes with lineage-determining transcription factors (TFs) on active enhancers during differentiation. Deletion of MLL4 dramatically decreases H3K4me1/2 and H3K27ac on enhancers and leads to severe defects in cell-type-specific gene expression and cell differentiation. Finally, we provide evidence that lineage-determining TFs recruit and require MLL4 to establish enhancers critical for cell-type-specific gene expression. Together, these results identify MLL4 as an H3K4 mono-/di-methyltransferase required for enhancer activation during cell differentiation. ChIP-Seq analyses of C/EBPbeta, MLL4 and histone modifications (H3K4me1, H3K27ac) in vec- or C/EBPbeta-overexpressing, adenoviral GFP- or Cre-infected, MLL3-/-MLL4-flox/flox brown preadipocytes without induction of differentiation.

2013-12-17 | E-GEOD-50455 | biostudies-arrayexpress

Genome-scale analysis in blood progenitor and mast cells reveals how lineage-affiliated transcription factors control distinct regulatory programs

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2014-04-24 | E-GEOD-48086 | biostudies-arrayexpress

Genome wide mapping for TF binding sites for Pol II, JunD, cFos, Max & cMyc in GM12878 (ENCODE Project)

Project description:We performed ChIP-Seq for 5 different transcription factors (Pol II, JunD, cFos, Max and cMyc) as part of the ENCODE project in order to determine sites of allele-specific binding. This was done in the GM12878 cell line which was genotyped as part of the pilot II phase of the 1000 genomes project. There is a matching RNA-Seq experiemnt performed on the same cell line. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf Mapping TF binding sites for 5 different TFs to assess allele-specific binding

2011-07-09 | E-GEOD-30399 | biostudies-arrayexpress

Genome-wide maps of MyoD, MLL4 and histone modifications during MyoD-induced myogenesis in WT and MLL4-/- brown preadipocytes

Project description:Enhancers play a central role in cell-type-specific gene expression and are marked by H3K4me1/2. Active enhancers are further marked by H3K27ac. However, the methyltransferases responsible for the deposition of H3K4me1/2 on enhancers remain elusive. Furthermore, the functions of these methyltransferases on enhancers and associated cell-type-specific gene expression are poorly understood. Here, we identify MLL4 (KMT2D) as a major H3K4 mono- and di-methyltransferase in mammalian cells. Using adipogenesis and myogenesis as model systems, we show that MLL4 exhibits cell-type- and differentiation-stage-specific genomic binding and is predominantly localized on enhancers. MLL4 co-localizes with lineage-determining transcription factors (TFs) on active enhancers during differentiation. Deletion of MLL4 dramatically decreases H3K4me1/2 and H3K27ac on enhancers and leads to severe defects in cell-type-specific gene expression and cell differentiation. Finally, we provide evidence that lineage-determining TFs recruit and require MLL4 to establish enhancers critical for cell-type-specific gene expression. Together, these results identify MLL4 as an H3K4 mono-/di-methyltransferase required for enhancer activation during cell differentiation. ChIP-Seq of MyoD, MLL4 and histone modifications (H3K4me1, H3K4me3, and H3K27ac) in adenoviral GFP- or Cre-infected MLL3-/-;MLL4-flox/flox cells. Preadipocytes: brown preadipocytes before differentiation. D5 myocytes: 5 days after MyoD-induced myogenesis of brown preadipocytes.

2013-12-17 | E-GEOD-50465 | biostudies-arrayexpress

ChIP-Seq on Cohesin mutant TF-1 Cell Line

Project description:Understanding the binding of GATA2, RUNX1 and SMC3 in RAD21 WT vs. mutant TF-1 Cells We examined GATA2, RUNX1 and SMC3 using ChIP-seq in TF-1 erythroleukemia cells that were transduced with an inducible vector expression WT or mutant (Q592*) RAD21 after 6 days of DOX induction

2015-11-03 | E-GEOD-73207 | biostudies-arrayexpress

Genome-scale analysis in blood progenitor and mast cells reveals how lineage-affiliated transcription factors control distinct regulatory programs [Beadchip Experiments]

Project description:Despite major advances in the generation of genome-wide binding maps, the mechanisms by which transcription factors (TFs) regulate cell type identity have remained largely obscure. Through comparative analysis of 10 key haematopoietic TFs in both mast cells and blood progenitors, we demonstrate that the largely cell-type specific binding profiles are not opportunistic, but instead contribute to cell-type specific transcriptional control, because (1) mathematical modelling of differential binding of shared TFs can explain differential gene expression, (2) cell-type specific binding is largely mediated through consensus binding sites, and (3) knock-down of blood stem cell regulators Gata2 and Erg in mast cells reveals mast cell specific genes as direct targets. Finally we show that the known mast cell regulators Mitf and c-Fos likely contribute to the global reorganisation of TF binding profiles. Taken together therefore, our study elucidates how key regulatory TFs contribute to transcriptional programmes in several distinct mammalian cell types. Total RNA from primary mast cells transfected with retroviral shRNA vectors were compared to negative controls (shRNA against luciferase).

2014-04-24 | E-GEOD-47988 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data