Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ChIP-seq of human monocytes and human monocyte-derived cells.

ABSTRACT: ChIP-seq was performed to map transcription factor (TF) binding in monocytes during in vitro differentiation. To map binding sites for TF lacking suitable antibodies we also performed mRNA transfections using synthetic mRNAs translating into 3xFLAG TF versions that were ChIPed using Anti-Flag antibody.

INSTRUMENT(S): Illumina HiSeq 3000

ORGANISM(S): Homo sapiens

SUBMITTER: Michael Rehli

PROVIDER: E-MTAB-9927 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

RNA-seq of human monocytes and human monocyte-derived cells.

Project description:RNA-seq was performed to determine gene expression changes in monocytes during in vitro differentiation. In addition to control cells, we also studied the impact of siRNA mediated knock-down of key transcription factors on gene expression in monocyte-derived dendritic cells.

2021-02-03 | E-MTAB-9929 | biostudies-arrayexpress

ATAC-seq of human monocytes and human monocyte-derived cells.

Project description:ATAC-seq was performed to map changes in chromatin accessibility in monocytes during in vitro differentiation. In addition to control cells, we also studied the impact of siRNA mediated knock-down of key transcription factors on accessible chromatin in monocyte-derived dendritic cells.

2021-02-03 | E-MTAB-9926 | biostudies-arrayexpress

ChIP-sequencing in human monocyte differentiation (3D-MO)

Project description:This dataset consists of ChIP-seq data from human monocytes, monocyte-derived dendritic cells as well as monocyte-derived cells that were subjected to siRNA treatment targeting CTCF or RAD21. ChIP-sequencing was done for H3K27, RAD21 and CTCF. In total, the data set includes 120 samples.

2022-06-24 | E-MTAB-10849 | biostudies-arrayexpress

Dynamic analysis of gene expression and genome wide transcription factor binding during lineage-specification of multipotent progenitors [ChIP-seq].

Project description:We used the paradigmatic 'GATA-PU.1 axis’ to explore, at systems-level, dynamic relationships between transcription factor (TF) binding and global gene expression programs as multipotent cells differentiate. We combined global ChIPSeq of GATA1, GATA2 and PU.1 with expression profiling during differentiation to erythroid and neutrophil lineages. Our analysis reveals (i) differential complexity of sequence motifs bound by GATA1, GATA2 and PU.1; (ii) the scope and interplay of the GATA1 and GATA2 programs within, and during transitions between, different cell compartments, and the extent of their hard-wiring by DNA motifs; (iii) the potential to predict gene expression trajectories based on global associations between TF-binding data and target gene expression and (iv) how dynamic modeling of DNA-binding and gene expression data can be used to infer regulatory logic of TF circuitry. This 'rubric' exemplifies the utility of this cross-platform resource for deconvoluting the complexity of transcriptional programs controlling stem/progenitor cell fate in hematopoiesis. We examine binding of three factors Gata1, Gata2 and Pu1 at 3 stages of differentiation (multipotential, 5 days of erytroid and neutrophil) , while looking at 2 intermeditate stages of erythroid differentiation for factors Gata2 and Gata1. We also look at Gata2 and Gata1 binding after Gata1 induction using an ER fusion protein.

2013-10-17 | E-GEOD-50406 | biostudies-arrayexpress

Gene expression in LPS-stimulated human monocyte-derived macrophages (3D-MO)

Project description:This dataset consists of RNA-seq data from human monocyte-derived macrophages that were subjected to siRNA treatment targeting RAD21 and either left untreated, or stimulated with LPS. In total, it includes 24 samples.

2022-06-20 | E-MTAB-10845 | biostudies-arrayexpress

Gene expression in human monocyte differentiation (3D-MO)

Project description:This dataset consists of RNA-seq data data from human monocytes, monocyte-derived dendritic cells or monocyte-derived macrophages as well as monocyte-derived cells that were subjected to siRNA treatment targeting CTCF or RAD21. In total, it includes 63 samples.

2022-06-20 | E-MTAB-10844 | biostudies-arrayexpress

SPIB and BATF provide alternate determinants of IRF4 occupancy in Diffuse Large B-cell Lymphoma linked to disease heterogeneity

Project description:ChIP-seq data for the transcription factors (TFs) IRF4, PU.1 and SPIB from the cell lines OCI-LY3, OCI-LY10 and H929, and BATF from the cell lines OCI-Ly3 and OCI-Ly10. In addition ChIP-seq for the TFs IRF4, PU.1 and SPIB from the cell line OCI-LY3 following transfections of scramble/SPIB-siRNA. ChIP-seq data for the transcription factors (TFs) IRF4, PU.1 and SPIB from the cell lines OCI-LY3, OCI-LY10 and H929, and BATF from the cell lines OCI-Ly3 and OCI-Ly10. In addition ChIP-seq for the TFs IRF4, PU.1 and SPIB from the cell line OCI-LY3 following transfections of scramble/SPIB-siRNA.

2014-06-03 | E-GEOD-56857 | biostudies-arrayexpress

Chromatin accessibility in human monocytes differentiation (3D-MO)

Project description:This dataset consists of ATAC-seq data from human monocytes, monocyte-derived dendritic cells or monocyte-derived macrophages as well as monocyte-derived cells that were subjected to siRNA treatment targeting CTCF or RAD21. In total, it includes 39 samples.

2022-06-24 | E-MTAB-10846 | biostudies-arrayexpress

Microarray analysis of monoclonal K562 lines transfected with pEF1a or pEF1a-Pu.2

Project description:Ectopic expression of the novel Pu.1 isoform Pu.2 in K562 was performed to investigate the biological function and importance of this novel protein Affymetrix microarrays were performed on RNA from K562 cells transfected with pEF1a or pEF1a-Pu.2 Three monoclonal lines derived from K562 expressing pEF1a and three monoclonal lines of K562 expressing pEF1a-Pu.2

2013-08-23 | E-GEOD-50083 | biostudies-arrayexpress

Dynamic analysis of gene expression and genome wide transcription factor binding during lineage-specification of multipotent progenitors [ER]

Project description:FDCPmix cells were infected with Gata1 and Pu1 ER fusion proteins and microarrayed after induction to reveal genes regulated by each factor as part of a study investigating the differentiation of a multipotential cell-line to erthroid and myeloid fates. We used the paradigmatic 'GATA-PU.1 axis’ to explore, at systems-level, dynamic relationships between transcription factor (TF) binding and global gene expression programs as multipotent cells differentiate. We combined global ChIPSeq of GATA1, GATA2 and PU.1 with expression profiling during differentiation to erythroid and neutrophil lineages. Our analysis reveals (i) differential complexity of sequence motifs bound by GATA1, GATA2 and PU.1; (ii) the scope and interplay of the GATA1 and GATA2 programs within, and during transitions between, different cell compartments, and the extent of their hard-wiring by DNA motifs; (iii) the potential to predict gene expression trajectories based on global associations between TF-binding data and target gene expression and (iv) how dynamic modeling of DNA-binding and gene expression data can be used to infer regulatory logic of TF circuitry. This 'rubric' exemplifies the utility of this cross-platform resource for deconvoluting the complexity of transcriptional programs controlling stem/progenitor cell fate in hematopoiesis. FDCPmix cells were inected with lentivirus containing either Gata1 or Pu1 ER fusion protein, or a empty vector. Cells were sort on GFP and tamoxifen added after a period of growth. Expression arrays were performed at the beginning, and 24hr after induction of the ER fusion construct.

2013-10-17 | E-GEOD-49990 | 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