Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA175268 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene network of erythropoietic cells Special attention has recently been drawn to the molecular network of different genes that are responsible for the development of erythroid cells. The aim of our study was to establish in detail the phenotype of early erythroid cells and to compare the gene expression profile of separated early erythroid precursors with the CD34-positive compartment. Multicolor flow cytometric analyses of human bone marrow mononuclear cell fractions (n=20) defined three distinct early erythroid stages. Sorted populations were analyzed for their gene expression profile using Affymetrix array technology. In 4,524 genes, a differential regulation was found in CD105-positive erythroid cells as compared to the CD34 common progenitor compartment (2,362 upregulated genes). A highly significant difference was observed in the expression level of genes with known functions, e.g. transcription factors, heme synthesis, iron and mitochondrial metabolism and transforming growth factor-ß signaling. A comparison with recently published data showed over 800* genes which as yet have not been reported to be upregulated in the early erythroid lineage as compared to the CD34 compartment . The gene expression level within distinct pathways can be illustrated directly by applying the Ingenuity software program. The results of the gene expression analyses can be seen at http://www.ncbi.nlm.nih.gov/geo/info/submission. We analyzed bone marrow CD14 positive, CD105-positive erythroid cells and CD34-positive common precursor cells from healthy subjects using the Affymetrix HG-U133_Plus_2 platform. Array data was processed by Affymetrix Array Computational Tool. No techinical replicates were performed.
2013-02-16 | E-GEOD-40893 | biostudies-arrayexpress
Project description:Gene network of erythropoietic cells Special attention has recently been drawn to the molecular network of different genes that are responsible for the development of erythroid cells. The aim of our study was to establish in detail the phenotype of early erythroid cells and to compare the gene expression profile of separated early erythroid precursors with the CD34-positive compartment. Multicolor flow cytometric analyses of human bone marrow mononuclear cell fractions (n=20) defined three distinct early erythroid stages. Sorted populations were analyzed for their gene expression profile using Affymetrix array technology. In 4,524 genes, a differential regulation was found in CD105-positive erythroid cells as compared to the CD34 common progenitor compartment (2,362 upregulated genes). A highly significant difference was observed in the expression level of genes with known functions, e.g. transcription factors, heme synthesis, iron and mitochondrial metabolism and transforming growth factor-ß signaling. A comparison with recently published data showed over 800* genes which as yet have not been reported to be upregulated in the early erythroid lineage as compared to the CD34 compartment . The gene expression level within distinct pathways can be illustrated directly by applying the Ingenuity software program. The results of the gene expression analyses can be seen at http://www.ncbi.nlm.nih.gov/geo/info/submission.
2013-02-16 | GSE40893 | GEO
Project description:CD34-positive cells from peripheral blood were culture for 5 days in erythroid differentiating medium. Four progenitor stages were sorted by FACS using the established cell surface markers CD34 and CD36 with CD117, CD71, and CD105 (Yan H, Am J Hematol, 2021). A comprehensive analysis of the proteome of these four erythroid progenitor stages was done in quadruplicate using a label free proteomic approach.
2023-10-30 | PXD042615 | Pride
Project description:Multipotent stem cells are considered as promising biological tools for regenerative medicine, and transcriptome analysis of these cells is fundamental for identifying new factors controlling proliferation versus differentiation. To obtain a comprehensive characterization of adrenal progenitors, we have developed an analytical pipeline relying on flow cytometric sorting of living cells followed by RNA sequencing. This analysis showed that two distinct populations of Nestin-positive progenitors are located in the adrenal cortex and medulla, respectively. Though 1039 genes were differentially regulated, both populations showed Schwann cell precursor properties suggesting both populations to be neural crest-derived.
2023-01-04 | GSE140247 | GEO
Project description:Erythroblasts cultured from six healthy commercial available cord blood CD34+ cells were used to generate an cord blood erythroblast transcriptome. Cellular maturation was maintained including enucleation. On culture day 14 total RNA was isolated (see PMID: 23798711 for details). These RNA-Seq profiles were generated after flow cytometric sorting (live cell gating of culture Day 14 erythroblasts according to forward and side scatter).
2017-02-01 | GSE93960 | GEO
Project description:Erythroblasts cultured from mobilized CD34+ cells from six healthy adult human donors were used to generate an erythroblast transcriptome. Cellular maturation was maintained including enucleation. On culture day 14 total RNA was isolated (see PMID: 23798711 for details). These RNA-Seq profiles were generated after flow cytometric sorting (live cell gating of culture Day 14 erythroblasts according to forward and side scatter).
2017-02-01 | GSE93814 | GEO
Project description:We compared the transcriptome of E47-/- and E2a/-Lef1F/F leukemia lines 72 hours after transduction with MigR1 or MigR1-Cre. The GFP+ populations were isolated by flow cytometric sorting
2022-02-09 | GSE196391 | GEO
Project description:Flow cytometric quantification, sorting and sequencing chaea based on F420 autofluorescence.
| PRJNA379851 | ENA
Project description:Purpose: Mutant SF3B1 is near universally associated with MDS-RS but the exact mechanism of how mutant-SF3B1 induces ring sideroblast formation is unclear. Methods: iPSC samples were differentiated from 5F-HPC derived from MDS-RS patient iPSCs. CD34+ progenitors were isolated using the CD34 enrichment kit (Miltenyi). CD34-CD71+GlyA- pro-erythroblasts were isolated by flow sorting on day 4. CD71+GlyA+ erythroblasts were isolated by flow sorting on day 9. Libraries with DNA fragments of ~300bp were selected using AMPure XP bead purification. Purified libraries were sequenced on an Illumina HiSeq 2000 using paired-end, 50 bp reads. Mis-splicing analysis was performed as described in Inoue et al. 2019. Results: Mis-splicing analysis reveals ~100 genes that are strongly mis-spliced (>40%) by mutant SF3B1 during erythroid differentiation. We identify that mis-splicing of TMEM14C and ABCB7 contribute to RS formation in mutant SF3B1 cells. Conclusion: Our iPS derived mutant SF3B1MDS-RS in vitro model is the first demonstration of a cell line that recapitulates mis-splicing, erythroid differentiation, and ring sideroblast formation.
2021-11-29 | GSE189546 | GEO
Project description:To explore the effects of LIN28Ain human erythroid cell development, lentiviral transduction was used for LIN28A over-expression in erythroblasts cultured from mobilized CD34+ cells from six healthy adult human donors. LIN28A over-expression in cultured adult erythroblasts reduced the expression of let-7 and significantly increased HbF expression. Cellular maturation was maintained including enucleation. LIN28Aexpression in adult erythroblasts increased the expression of gamma-globin, and the HbF content of the cells rose to levels >30% of their hemoglobin. mRNA was isolated on culture day 14 (see PMID: 23798711 for details). These RNA-Seq profiles were generated after flow cytometric sorting (live cell gating of culture Day 14 erythroblasts according to forward and side scatter). [Acknowledgement] We would like to thank Gerard Bouffard and the National Human Genome Research Institute for their expertise and assistance with RNA-seq.
2017-02-01 | GSE93256 | GEO