Mus musculus
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ABSTRACT:
PROVIDER: PRJNA323931 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Expression data from Ezh2-null erythrocyte/megakaryocyte progenitor (MEP)
| PRJNA146497 | ENA
Project description:Next Generation Sequencing of long-term hematopoietic cells (LT-HSCs) with or without mutations in JAK2 and Ezh2
| PRJNA323930 | ENA
Project description:Comparison of mRNA expression profiles of MEPs with or without mutations in JAK2 and Ezh2 by RNA sequencing. MEPs mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of MEP with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. Our results revealed that mRNA expression profile of MEP with different genotype showed specific gene expression patterns, which allows to do biological comprehensive and quantitative analysis for hematopoiesis. MEPs mRNA profiles six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) were generated by deep sequencing.
2016-06-24 | E-GEOD-82072 | biostudies-arrayexpress
Project description:Comparison of mRNA expression profiles of LT-HSCs with or without mutations in JAK2 and Ezh2 by RNA sequencing. LT-HSC mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of LT-HSC with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. Our results revealed that mRNA expression profile of LT-HSC with different genotype showed specific gene expression patterns, which allows to do biological comprehensive and quantitative analysis for hematopoiesis. LT-HSCs mRNA profiles six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) were generated by deep sequencing.
2016-06-24 | E-GEOD-82073 | biostudies-arrayexpress
Project description:Comparison of mRNA expression profiles of MEPs with or without mutations in JAK2 and Ezh2 by RNA sequencing. MEPs mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of MEP with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. Our results revealed that mRNA expression profile of MEP with different genotype showed specific gene expression patterns, which allows to do biological comprehensive and quantitative analysis for hematopoiesis.
2016-06-24 | GSE82072 | GEO
Project description:Comparison of mRNA expression profiles of LT-HSCs with or without mutations in JAK2 and Ezh2 by RNA sequencing. LT-HSC mRNA was extracted from six different transgenic mice (SclCre, SclCre;Ezh2+/-, SclCre;Ezh2-/-, SclCre; JAK2V617F, SclCre; JAK2V617F;Ezh2+/-, SclCre; JAK2V617F;Ezh2-/-) 10 weeks after tamoxifen injection. Our study represents the first detailed analysis of mRNA expression profile of LT-HSC with or without mutations in JAK2 and Ezh2 , with biologic replicates, generated by RNA-seq technology. Our results revealed that mRNA expression profile of LT-HSC with different genotype showed specific gene expression patterns, which allows to do biological comprehensive and quantitative analysis for hematopoiesis.
2016-06-24 | GSE82073 | GEO
Project description:Background: Cancers result from accumulation of somatic mutations and their properties are thought to reflect the sum of these mutations. However, little is known about the consequences of altering the order of mutation acquisition. Methods: Mutation order was determined in myeloproliferative neoplasm patients by genotyping hematopoietic colonies or next generation sequencing. Stem and progenitor cells were isolated to study the effect of mutation order on mature and immature hematopoietic cells. Results: Age of presentation, acquisition of JAK2V617F homozygosity and the balance of immature progenitors were all influenced by mutation order. Compared to TET2-first patients, JAK2-first patients had an increased likelihood of presenting with polycythemia vera than essential thrombocythemia, an increased risk of thrombosis and an increased sensitivity of JAK2-mutant progenitors to ruxolitinib in vitro. In studies of single hematopoietic stem and progenitor cells (HSPCs), mutation order influenced the proliferative response to JAK2V617F and the capacity of double-mutant HSPCs to generate colony-forming cells. Moreover the HSPC compartment was dominated by TET2 single-mutant cells in TET2-first patients but by JAK2/TET2 double-mutant cells in JAK2-first patients. Prior mutation of TET2 altered the transcriptional consequences of JAK2V617F in a cell-intrinsic manner, and prevented JAK2V617F from up-regulating genes associated with proliferation. These data demonstrate that mutation order influences progenitor proliferation and terminal cell expansion, thus influencing clinical presentation, thrombosis risk and progenitor response to targeted therapy. Conclusions: The order in which JAK2 and TET2 mutations are acquired influences clinical features, stem/progenitor cell biology and clonal evolution in patients with myeloproliferative neoplasms.
2014-11-17 | E-MTAB-3086 | biostudies-arrayexpress
Project description:Dhh negatively regulates multiple stages of erythrocyte differentiation. In Dhh-deficient bone marrow, the common myeloid progenitor (CMP) population was increased, but differentiation from CMP to granulocyte/macrophage progenitor was decreased, and the mature granulocyte population was decreased, compared with wild-type (WT). In contrast, differentiation from CMP to megakaryocyte/erythrocyte progenitor was increased, and the megakaryocyte/erythrocyte progenitor population was increased. In Dhh-deficient spleen and bone marrow, BFU-Es and erythroblast populations were increased compared with WT. During recovery of hematopoiesis after irradiation, and under conditions of stress-induced erythropoiesis, erythrocyte differentiation was accelerated in both spleen and bone marrow of Dhh-deficient mice compared with WT. To investigate possible mechanisms for its regulation of erythropoiesis we carried out RNAsequencing on Facs-sorted erythroblast population II (CD71+Ter119+) cells from Dhh-/-, Dhh+/- and WR mice.
2022-05-31 | GSE205034 | GEO
Project description:Consequences of GATA1 expression in Gata1- G1ME Murine Megakaryocyte/Erythrocyte Progenitor Cell Line
| PRJNA111885 | ENA
Project description:This collection contains microRNA expression profiling data for samples purified from umbilical cord blood, belonging to one of the followiing populations: MEP, MEGA1, MEGA2, ERY1, ERY2, ERY3. MEP: megakaryocyte-erythrocyte precursors (defined by CD34+ CD38+ IL-3Ra- CD45RA- ); MEGA1: megakaryocyte population 1 (defined by CD34+ CD61+ CD41+ CD45- ); MEGA2: megakaryocyte population 2 (defined by CD34- CD61+ CD41+ CD45- ); ERY1: erythrocyte population 1 (defined by CD34+ CD71+ GlyA- ); ERY2: erythrocyte population 2 (defined by CD34- CD71+ GlyA- ); ERY3: erythrocyte population 3 (defined by CD34- CD71+ GlyA+ ). Keywords: microRNA, miRNA, MEP, megakaryocyte, erythrocyte, lineage specification
2008-06-10 | GSE10593 | GEO