Similar Datasets
Project description:G1E cells infected with control (HMD empty vector), human GATA1, or human GATA1 mutant cDNA
| PRJNA513881 | ENA
Project description:Missense mutations in transcription factor GATA1 underlie several distinct forms of anemia and thrombocytopenia. Clinical severity depends on the site and type of substitution, and distinct substiutions of the same residue produce disparate phenotypes. To investigate the effect of GATA1 missense mutations on erythroid differentiation we expressed conditionally activated wild type or mutant versions of GATA1 in GATA1-null G1E cells. We used gene expression microarrays to explore how GATA1 missense mutations affect erythroid transcription programs. GATA1-null G1E cells ectopically expressing conditionally activated versions of GATA1 (GATA1-ER, GATA1(R216Q)-ER, GATA1(R216W)-ER, GATA1(D218G)-ER, or GATA1(D218Y)-ER) were treated with estradiol for 24 hours to initiate erythroid differentiation. Total RNA from treated cells was extracted for Affymetrix microarray. All data were generated from three biological replicates. Transcript levels were compared in wild type vs. mutant lines.
2013-03-04 | E-GEOD-43356 | biostudies-arrayexpress
Project description:Missense mutations in transcription factor GATA1 underlie several distinct forms of anemia and thrombocytopenia. Clinical severity depends on the site and type of substitution, and distinct substiutions of the same residue produce disparate phenotypes. To investigate the effect of GATA1 missense mutations on erythroid differentiation we expressed conditionally activated wild type or mutant versions of GATA1 in GATA1-null G1E cells. We used gene expression microarrays to explore how GATA1 missense mutations affect erythroid transcription programs.
2013-03-04 | GSE43356 | GEO
Project description:we mapped the locations of DNA segments occupied by GATA1 using chromatin immunoprecipitation (ChIP). We have produced genome-wide GATA1 ChIP datasets after restoration and activation in G1E-ER4 cells. we employed the sequence census methodology of ChIP-seq , using Illumina GA2 technology to produce 23 million reads (36 nucleotides long) uniquely mapped to the mouse genome (mm8 assembly) for the GATA1 ChIP DNA and 15 million mapped reads for the input DNA
2009-09-19 | GSE18164 | GEO
Project description:we mapped the locations of DNA segments occupied by GATA1 using chromatin immunoprecipitation (ChIP). We have produced genome-wide GATA1 ChIP datasets after restoration and activation in G1E-ER4 cells. we employed the sequence census methodology of ChIP-seq , using Illumina GA2 technology to produce 23 million reads (36 nucleotides long) uniquely mapped to the mouse genome (mm8 assembly) for the GATA1 ChIP DNA and 15 million mapped reads for the input DNA Examination of transcription factor GATA1 occupancy
2009-09-19 | E-GEOD-18164 | biostudies-arrayexpress
Project description:Tissue-specific transcription patterns are preserved throughout cell divisions to maintain lineage fidelity. We investigated whether transcription factor GATA1 plays a role in transmitting hematopoietic gene expression programs through mitosis when transcription is transiently silenced. Live cell imaging revealed that a fraction of GATA1 is retained focally within mitotic chromatin. ChIP-seq of highly purified mitotic cells uncovered that key hematopoietic regulatory genes are occupied by GATA1 in mitosis. The GATA1 co- regulators FOG1 and TAL1 dissociate from mitotic chromatin, suggesting that GATA1 functions as platform for their postmitotic recruitment. Mitotic GATA1 target genes tend to re-activate more rapidly upon entry into G1 than genes from which GATA1 dissociates. A novel system designed to destroy GATA1 specifically during mitosis revealed that mitotic occupancy is required for rapid target gene reactivation. These studies suggest a requirement of mitotic “bookmarking” by GATA1 for the faithful propagation of cell type-specific transcription programs through cell division GATA1 occupancy profiles in mitotic G1E-ER4 +E2 cells generated by ChIP-sequencing. ChIP input DNA was sequenced as control. Previously reported (GSE18164) GATA1 occupancy in asynchrnous G1E-ER4 +E2 cells was analysed and compared with mitotic GATA1 occupancy.
2012-08-17 | E-GEOD-36589 | biostudies-arrayexpress
Project description:Analysis of erythroid differentiation using Gata1 gene-disrupted G1E ER4 clone cells. Estradiol addition activates an ectopically expressed Gata-1-estrogen receptor fusion protein, triggering synchronous differentiation. 30 hour time course corresponds roughly to late burst-forming unit-erythroid stage (t=0 hrs) through orthochromatic erythroblast stage (t=30 hrs). Experiment Overall Design: G1E ER4 cells cultured in G1E medium were treated at 6 time points with estradiol to initiate erythroid differentiation by activating Gata1 transcription factor and total RNAs from treated cells were extracted for microarray experiment. The erythroid differentiation status was confirmed by cell pellet color and expression of microRNA miR451. The design was similar to an earlier studies (Welch, J. J., Watts, J. A., Vakoc, C. R., Yao, Y., Wang, H., Hardison, R. C., Blobel, G. A., Chodosh, L. A., and Weiss, M. J. (2004)). Global regulation of erythroid gene expression by transcription factor GATA-1. Blood 104, 3136-3147), except that a more recent version of Affymetric chip was used to acheive greater transcriptome coverage.
2009-09-18 | E-GEOD-18042 | biostudies-arrayexpress
Project description:Analysis of erythroid differentiation using Gata1 gene-disrupted G1E ER4 clone cells. Estradiol addition activates an ectopically expressed Gata-1-estrogen receptor fusion protein, triggering synchronous differentiation. 30 hour time course corresponds roughly to late burst-forming unit-erythroid stage (t=0 hrs) through orthochromatic erythroblast stage (t=30 hrs).
2009-09-10 | GSE18042 | GEO
Project description:Transcription factor GATA1 binding in erythroblasts in the presence and absence of BET inhibitor JQ1, and BET protein BRD3 and BRD4 binding in erythroblasts in the presence and absence of GATA1. Inhibitors of Bromodomain and Extra-Terminal motif proteins (BETs) are being evaluated for the treatment of cancer and other diseases yet their physiologic mechanisms remain largely unknown. We used genomic and genetic approaches to examine BET function in a hematopoietic maturation system driven by GATA1, an acetylated transcription factor previously shown to interact with BETs. We found that while BRD3 occupied the majority of GATA1 binding sites, BRD2 and BRD4 were also recruited to a subset of GATA1-occupied sites. Functionally, BET inhibition impaired GATA1-mediated transcriptional activation, but not repression, genome-wide. Co-activation by BETs was accomplished both by facilitating genomic occupancy of GATA1 and subsequently supporting transcription activation. Using a combination of CRISPR/CAS9-mediated genomic engineering and shRNA approaches we observed that depletion of either BRD2 or BRD4 alone blunted erythroid gene activation, while depletion of BRD3 only affected erythroid transcription in the setting of BRD2 deficiency. These results suggest that pharmacologic BET inhibition should be interpreted in the context of distinct steps in transcriptional activation and partially overlapping functions among BET family members. GATA1 null erythroblasts (G1E) conditionally expressing GATA1 as a GATA1-ER fusion protein were induced to express GATA1 by addition of 100nM estradiol for 24 hours. For GATA1 binding experiments this occurred in the absence or presence of 250nM JQ1. For BRD3 and BRD4 occupancy experiments G1E cells were compared to G1E cells with activated GATA1-ER fusion protein.
2015-02-23 | E-GEOD-62736 | biostudies-arrayexpress
Project description:Role of bromodomain and extra-terminal motif (BET) proteins in GATA1-null erythrolbasts (G1E) and in differentiation induced by activation of conditional GATA1 tested by addition of BET inhibitor JQ1 (250nM) Array protocols were conducted as described in the Ambion WT Expression Manual and the Affymetrix GeneChip Expression Analysis Technical Manual by the University of Pennsylvania Molecular Profiling Core.
2015-02-23 | GSE62709 | GEO