Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA153919 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE27893: Genome-wide maps of chromatin state in early erythroid precursors versus later, more differentiated erythroblasts. GSE32110: RNA-seq expression profiles during terminal erythropoiesis Refer to individual Series
2011-09-13 | E-GEOD-32111 | biostudies-arrayexpress
Project description:Erythropoiesis is dependent on the activity of transcription factors, including the erythroid-specific erythroid Kruppel-like factor (EKLF). ChIP followed by massively parallel sequencing (ChIP-Seq) is a powerful, unbiased method to map transfactor occupancy. We used ChIP-Seq to study the interactome of EKLF in mouse erythroid progenitor cells and more differentiated erythroblasts. We correlated these results with the nuclear distribution of EKLF, RNA-Seq analysis of the transcriptome, and the occupancy of other erythroid transcription factors. In progenitor cells, EKLF is found predominantly at the periphery of the nucleus, where EKLF primarily occupies the promoter regions of genes and acts as a transcriptional activator. In erythroblasts, EKLF is distributed throughout the nucleus, and erythroblast-specific EKLF occupancy is predominantly in intragenic regions. In progenitor cells, EKLF modulates general cell growth and cell cycle regulatory pathways, whereas in erythroblasts EKLF is associated with repression of these pathways. The EKLF interactome shows very little overlap with the interactomes of GATA1, GATA2, or TAL1, leading to a model in which EKLF directs programs that are independent of those regulated by the GATA factors or TAL1. (Blood.2011;118(17):e139-e148) We used ChIP-Seq to study the interactome of EKLF in mouse erythroid progenitor cells and more differentiated erythroblasts and RNA-Seq analysis of the transcriptome.
2013-06-17 | E-GEOD-48020 | biostudies-arrayexpress
Project description:Erythroid cells, serving as progenitors and precursors to erythrocytes responsible for oxygen transport, exhibit a notable immunosuppressive and immunoregulatory phenotype. The present study CITE-seq reveals that erythroid cells have stage of differentiation-dependent immunity-related gene expression patterns. We also found that Erythroid cell differentiation is not linear and there is a bifurcation of polychromatophilic erythroblasts into ARG1 expressing polychromatophilic erythroblasts and orthochromatophilic erythroblasts. ARG1 expressing polychromatophilic erythroblasts account for almost all immunosuppressive ARG1 gene expression among erythroid cells. Thus, we infer the stepwise erythroid cells differentiation trajectory that has a branch that forms immunosuppressive erythroid cell population.
2024-03-20 | GSE261733 | GEO
Project description:Mammals express thousands of long noncoding (lnc) RNAs, a few of which are shown to function in tissue development. However, the entire repertoire of lncRNAs and the extent to which they regulate biological processes in different tissues and species are not defined. Indeed, most lncRNAs are not conserved between species, raising questions about function. We used RNA-Seq to identify lncRNAs in primary murine fetal liver erythroblasts expressing the lineage marker TER119, megakaryocytes (CD41+) cultured from embryonic day (E) 14.5 murine fetal liver and megakaryocyte erythroid progenitors (MEPs) isolated from mouse bone marrow. We identified 683 and 594 polyadenylated lncRNAs expressed in red blood cell (erythroid) precursors of mice and humans, respectively. More than one half of erythroid lncRNAs are un-annotated, emphasizing the opportunity for new discovery through studies of specialized cell types. We analyzed the expression of these identified lncRNAs in several hematopoietic compartments using a custom microarray to identify erythroid-specific lncRNAs that were robustly expressed in both fetal liver and adult erythroid cells as targets for knockdown. Over 90% of fetal liver erythroid lncRNAs detected using RNA-seq were expressed in adult erythroblasts measured on the microarray. Analysis of the murine erythroid lncRNA transcriptome indicates that ~75% arise from promoters and 25% from enhancers, many of which are regulated by the key erythroid transcription factors GATA1 and SCL/TAL1. Erythroid lncRNA expression is largely conserved among 8 different mouse strains, yet only 15% of mouse lncRNAs are expressed in humans and vice versa, reflecting dramatically greater species-specificity than coding genes. We investigated potential functions of 21 relatively abundant erythroid-specific murine lncRNAs (both conserved and non-conserved) by RNA interference in primary mouse erythroid precursors, and identified 7 whose knockdown inhibited features of terminal erythroid maturation including cell size reduction and enucleation. Strikingly, at least 6 of the 7 lncRNAs have no detectable expression in human erythroblasts, demonstrating that lack of conservation between mammalian species does not predict lack of function. These results reflect marked evolutionary differences between protein-coding genes and lncRNAs and indicate that the latter exert tissue- and species-specific roles in development. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf A custom Agilent microarray was designed to interrogate expression levels of long noncoding RNAs identified using RNA-seq in several different hematopoietic progenitor and differentiated cell populations. LncRNA gene definitions and RNA-seq data used to identify long noncoding RNAs are deposited in GEO with the accession numbers GSE51667 and GSE40522 respectively. The Agilent eArray platform was used to customize the SurePrint G3 Mouse GE 8x60K microarray to add 3 custom-designed probes (60nt length) each against several categories of genes, namely pseudogene, genes with small RNA overlap, low stringency lncRNAs and high stringency lncRNAs . We interrogated 7 types of hematopoietic cells, HSC, CMP, MEP, GMP, early and late erythroblasts and granulocytes. Expression measurements were determined at least in duplicate for all samples and in triplicate for most samples.
2014-02-20 | E-GEOD-51892 | biostudies-arrayexpress
Project description:It is unclear how epigenetic changes regulate the induction of erythroid-specific genes during terminal erythropoiesis. Here we use global mRNA sequencing (mRNA-seq) and chromatin immunoprecipitation coupled to high-throughput sequencing (CHIP-seq) to investigate the changes that occur in mRNA levels, RNA Polymerase II (Pol II) occupancy and multiple post-translational histone modifications when erythroid progenitors differentiate into late erythroblasts. Among genes induced during this developmental transition, there was an increase in the occupancy of Pol II, the activation marks H3K4me2, H3K4me3, H3K9Ac and H4K16Ac, and the elongation methylation mark H3K79me2. In contrast, genes that were repressed during differentiation showed relative decreases in H3K79me2 levels yet had levels of Pol II binding and active histone marks similar to those in erythroid progenitors. We also found that relative changes in histone modification levels-in particular, H3K79me2 and H4K16ac-were most predictive of gene expression patterns. Our results suggest that in terminal erythropoiesis both promoter and elongation-associated marks contribute to the induction of erythroid genes, while gene repression is marked by changes in histone modifications mediating Pol II elongation. Our data maps the epigenetic landscape of terminal erythropoiesis and suggests that control of transcription elongation regulates gene expression during terminal erythroid differentiation. Mouse fetal liver cells are double-labeled for erythroid-specific TER119 and non erythroid-specific transferrin receptor (CD71) and then sorted by flow-cytometry. E14.5 fetal livers contain at least five distinct populations of cells (R1 through R5); as they progressively differentiate they gain TER119 and then gain and subsequently lose CD71. CFU-E cells and proerythroblasts make up the R1 population; R2 consists of proerythroblasts and early basophilic erythroblasts; R3 includes early and late basophilic erythroblasts; R4 is mostly polychromatophilic and orthochromatophilic erythroblasts; and R5 is comprised of late orthochromatophilic erythroblasts and reticulocytes. We have sorted for R2-R5 cells for RNA-seq experiment.
2011-09-13 | E-GEOD-32110 | biostudies-arrayexpress
Project description:We used mouse ENCODE data along with complementary data from other laboratories to study the dynamics of occupancy and the role in gene regulation of the transcription factor TAL1, a critical regulator of hematopoiesis, at multiple stages of hematopoietic differentiation. We combined ChIP-seq and RNA-seq data in six mouse cell types representing a progression from multilineage precursors to differentiated erythroblasts and megakaryocytes. We found that sites of occupancy shift dramatically during commitment to the erythroid lineage, vary further during terminal maturation, and are strongly associated with changes in gene expression. In multilineage progenitors, the likely target genes are enriched for hematopoietic growth and functions associated with the mature cells of specific daughter lineages (such as megakaryocytes). In contrast, target genes in erythroblasts are specifically enriched for red cell functions. Furthermore, shifts in TAL1 occupancy during erythroid differentiation are associated with gene repression (dissociation) and induction (co-occupancy with GATA1). Based on both enrichment for transcription factor binding site motifs and co-occupancy determined by ChIP-seq, recruitment by GATA transcription factors appears to be a stronger determinant of TAL1 binding to chromatin than the canonical E-box binding site motif. Studies of additional proteins lead to the model that TAL1 regulates expression after being directed to a distinct subset of genomic binding sites in each cell type via its association with different complexes containing master regulators such as GATA2, ERG, and RUNX1 in multilineage cells and the lineage-specific master regulator GATA1 in erythroblasts. Combined ChIP-seq and RNA-seq data in six mouse cell types representing a progression from multilineage precursors to differentiated erythroblasts and megakaryocytes.
2014-11-14 | E-GEOD-51338 | biostudies-arrayexpress
Project description:To determine the transcriptional function (if any) of the presumed nuclear export protein Xpo7 or RanBP16 Murine fetal liver erythroid precursors (Ter119-negative cells) were isolated from C57Bl6 E14.5 embryos by magnetic depletion and infected with retroviruses containing shRNA constructs against Xpo7. They were then cultured in Epo-containing media (2U/mL) for 36hrs until they were fully differentiated and then sorted by FACS for GFP+ (infected) cells in order to isolate total RNA to be used for the profiling. Expression profiling in late cultured mouse erythroblasts before and after knockdown of gene Xpo7.
2014-01-29 | E-GEOD-54457 | biostudies-arrayexpress
Project description:Genome-wide maps of chromatin state in human erythroblasts differentiated from CD34+ cells.
| PRJNA398104 | ENA
Project description:We have previously proposed two distinct molecular mechanisms by which SCL binds its targets in hematopoiesis; either by direct contact with specific DNA sequences or by indirect recruitment through interaction with other proteins. We have established that direct DNA binding is the major non-redundant mechanism SCL exerts in red cells. A DNA-binding mutant form of SCL (SCLRER) had detrimental effect on erythropoiesis in vivo. To extend these data to a molecular and mechanistic level, we have set out to identify the genomic sequences bound by SCL in vivo in erythroid precursors; we performed anti-SCL ChIP assays on immature, Ter119- erythroid cell populations isolated from day E12.5 wild-type (SCLWT/WT) fetal livers followed by ultra-throughput sequencing (ChIP-SEQ). To compare SCL’s direct versus indirect DNA-binding activities and, thus, gain insight into its mechanisms of action, we also analysed material isolated from SCLRER/RER fetal livers. anti-SCL ChIP-enriched DNA from mouse fetal liver erythroblast chromatin was analysed by Solexa sequencing. Four samples were processed: chromatin from SCL wildtype erythroblasts (WT-SCL) and SCL mutant erythroblasts (RER-SCL) were ChIPed by anti-SCL antibody and sequenced with their respective 'no antibody' controls.
2010-05-18 | E-GEOD-18720 | biostudies-arrayexpress
Project description:Erythropoiesis is dependent on the activity of transcription factors, including the erythroid-specific erythroid Kruppel-like factor (EKLF). ChIP followed by massively parallel sequencing (ChIP-Seq) is a powerful, unbiased method to map transfactor occupancy. We used ChIP-Seq to study the interactome of EKLF in mouse erythroid progenitor cells and more differentiated erythroblasts. We correlated these results with the nuclear distribution of EKLF, RNA-Seq analysis of the transcriptome, and the occupancy of other erythroid transcription factors. In progenitor cells, EKLF is found predominantly at the periphery of the nucleus, where EKLF primarily occupies the promoter regions of genes and acts as a transcriptional activator. In erythroblasts, EKLF is distributed throughout the nucleus, and erythroblast-specific EKLF occupancy is predominantly in intragenic regions. In progenitor cells, EKLF modulates general cell growth and cell cycle regulatory pathways, whereas in erythroblasts EKLF is associated with repression of these pathways. The EKLF interactome shows very little overlap with the interactomes of GATA1, GATA2, or TAL1, leading to a model in which EKLF directs programs that are independent of those regulated by the GATA factors or TAL1. (Blood.2011;118(17):e139-e148)
2013-06-17 | GSE48020 | GEO