Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human erythroid cell differentiation

ABSTRACT: Human mononuclear cells were cultured in 2 phases. In the 1st phase the culture medium contained cyclosporine A the 2nd phase contained SCF and erythropoietin. Cells were collected at 3 stages of differentiation; on day 6, 10, 12 and represented early erythroblasts, medium stage and normoblasts. Experiment Overall Design: RNA was extracted from each sample of cells at a different stage of differentiation and subjected to microarray studies in duplicates.

ORGANISM(S): Homo sapiens

SUBMITTER: Yuval Tabach

PROVIDER: E-GEOD-12407 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identification of gene networks associated with erythroid differentiation.

Peller Shoshana S Tabach Yuval Y Rotschild Miri M Garach-Joshua Osnat O Cohen Yosef Y Goldfinger Naomi N Rotter Varda V

Blood cells, molecules & diseases 20090328 1

Erythropoiesis is a multistep process involving a large number of genes, which balance between proliferation, differentiation and survival of the erythroid cells. To understand the molecular mechanisms of erythropoiesis and related pathological aberrations, we analyzed three stages of in vitro differentiating human erythroid cells by expression profiling. We identified distinct clusters of genes, each with a unique expression pattern during differentiation. As JAK2 was shown to play a central ro ...[more]

PMID: 19329339

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Project description:Understanding the pattern of gene expression and identifying the specific genes expressed during erythropoiesis is crucial for a synthesis of erythroid developmental biology. Here we have isolated four distinct populations of erythroblasts at successive erythropoietin-dependent stages of erythropoiesis including the terminal, pyknotic stage. The transcriptome has been determined using Affymetrix arrays. First, we show that cells sorted by surface expression profile express not only significantly fewer genes than unsorted cells, but also significantly more differences in the expression levels of particular genes between stages than unsorted cells, demonstrating the importance of working with defined cell populations to identify lineage and temporally-specific patterns of gene expression. Second, using standard software and matched filtering we identify eleven differentially regulated genes and one continuously expressed gene previously undetected in erythroid expression studies with unknown roles in erythropoiesis (CA3, CALB1, CTSL2, FKBP1B, GSDMB, ITLN1, LIN7B, RRAD, RUNDC3A, UNQ1887, ZNF805, MYL12B). Finally, using transcription factor binding site analysis we identify potential transcription factors that may regulate gene expression during terminal erythropoiesis. Our stringent lists of differentially regulated and continuously expressed transcripts are a resource for functional studies of erythropoietic protein function and gene regulation. PBMC-derived erythroblasts grown in vitro were harvested at the CFU-E, Pro-E, Int-E and Late-E stages and FACS sorted based on expression of cell surface markers. RNA was extracted from those populations which met rigorous specifications of time cultured in the presence of erythropoietin, morphology and CD36, CD71 and CD235a expression. For each stage, 3 chips were hybridised, each representing a pool of 4 different samples. In addition to these 12 chips, one chip representing a pool of RNA extracted from unsorted cells at each stages was also hybridised.

Project description:Background: It has been reported that the phosphatidylinositol 3-kinase (PI3K)-AKT signaling pathway regulates erythropoietin (EPO)-induced survival, proliferation, and maturation of early erythroid progenitors. Erythroid cell proliferation and survival has also been related to activation of the JAK-STAT pathway. The goal of this study was to observe the function of EPO activation of JAK-STAT and PI3K/AKT pathways in the development of erythroid progenitors from hematopoietic CD34+ progenitor cells, as well as to distinguish early EPO target genes in human erythroid progenitors during ontogeny. Methods: Hematopoietic CD34+ progenitor cells, isolated from fetal and adult hematopoietic tissues, were differentiated into erythroid progenitor cells. We have used microarray analysis to examine JAK-STAT and PI3K/AKT related genes, as well as broad gene expression modulation in these human erythroid progenitor cells. Results: In microarray studies, a total of 1755 genes were expressed in fetal liver, 3844 in cord blood, 1770 in adult bone marrow, and 1325 genes in peripheral blood-derived erythroid progenitor cells. The erythroid progenitor cells shared 1011 common genes. Using the Ingenuity Pathways Analysis software, we evaluated the network pathways of genes linked to hematological system development, cellular growth and proliferation. The KITLG, EPO, GATA1, PIM1 and STAT3 genes represent the major connection points in the hematological system development linked genes. Some JAK-STAT signaling pathway-linked genes were steadily upregulated throughout ontogeny (PIM1, SOCS, MYC, PTPN11), while others were downregulated (PTPN6, PIAS, SPRED2). In addition, some JAK-STAT pathway related genes have specific expression just at certain stages of ontogeny (STATs, GRB2, CREBB). Beside continuously upregulated (AKT1, PPP2CA, CHUK, NFKB1) and downregulated (FOXO1, PDPK1, PIK3CG) genes in the PI3K-AKT signaling pathway, we also observed intermittently regulated gene expression (NFKBIA, YWHAH). Conclusions: This broad overview of gene expression in erythropoiesis revealed transcription factors with a prevalence at certain stages of ontogenesis. Finally, our results show that EPO-mediated proliferation and survival of erythroid progenitors occurs mainly through modulation of JAK-STAT pathway associated STATs, GRB2 and PIK3 genes, as well as AKT pathway- coupled NFKBIA and YWHAH genes. Adult peripheral blood mononuclear cells were isolated from buffy coats of 3 healthy donors using Lymphocyte Separation Medium (BioWhittaker, Walkersville, MD). We washed mononuclear cells twice with Dulbecco's phosphate-buffered saline (PBS, Invitrogen Corporation, Carlsbad, CA), and CD34+ cells were purified by positive immunomagnetic selection using the MACS cell isolation system (Miltenyi Biotec, Auburn, CA). Fresh bone marrow CD34+ cells were collected (AllCells LLC, Berkeley, CA). Cord blood CD34+ cells (AllCells LLC) and fetal liver CD34+ cells (Cambrex Bio Science, Inc., Walkersville, MD) were collected and frozen. For analysis, CD34+ cells were resuspended in medium, which contained 30% FBS, 2 mmol/L glutamine, 100 U/ml penicillin, 100 Âµg/ml streptomycin, 1% deionized BSA, 10 mmol/L beta-mercaptoethanol, 1 mmol/L dexamethasone, 33 Âµg/ml holo-transferrin, 10 ng/ml SCF, 1 ng/ml IL-3 and 1 ng/ml GM-CSF (Sigma, St. Louis, MO), and 1 U/ml human recombinant EPO (Amgen Inc, Thousand Oaks, CA) Erythroid progenitor cells differentiated from hematopoietic CD34+ progenitor cells of fetal liver, cord blood, bone marrow and peripheral blood origin Biological replicates: 2 fetal liver, 3 cord blood, 3 bone marrow, 3 peripheral blood origin

Dataset Information

Transcription profiling of human erythroid cell differentiation

Publications

Identification of gene networks associated with erythroid differentiation.

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