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Expression data from human bone marrow hematopoietic stem and progenitor populations from elderly anemic patients

ABSTRACT: Expression data from human bone marrow hematopoietic stem and progenitor populations from elderly anemic patients

PROVIDER: PRJNA510438 | ENA |

REPOSITORIES: ENA

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Expression data from human bone marrow hematopoietic stem and progenitor populations from elderly anemic patients

Project description:Expression data from FACS-purified hematopoietic stem cells, common myeloid progenitors, granulocyte-macrophage progenitors, and megakaryocyte-erythroid progenitors from human bone marrow samples of elderly anemic patients

2019-01-31 | GSE123991 | GEO

Transcription profiling by array of human bone marrow hematopoietic stem cells from healthy young and elderly individuals

Project description:In the human hematopoietic system, aging is associated with decreased bone marrow cellularity, decreased adaptive immune system function, and increased incidence of anemia and other hematological disorders and malignancies. Recent studies in mice suggest that changes within the hematopoietic stem cell (HSC) population during aging contribute significantly to the manifestation of these age-associated hematopoietic pathologies. While the mouse HSC population has been shown to change both quantitatively and functionally with age, changes in the human HSC and progenitor cell populations during aging have not yet been characterized. Gene expression profiling revealed that aged human HSC transcriptionally up-regulate genes associated with cell cycle, myeloid lineage specification, and myeloid malignancies. These age-associated alterations in the frequency, function, and gene expression profile of human HSC are significantly similar to those changes observed in mouse HSC, suggesting that hematopoietic aging is an evolutionarily conserved process. In order to elucidate the properties of an aged human hematopoietic system that may predispose to age-associated hematopoietic dysfunction, we evaluated HSC and other hematopoietic progenitor populations from healthy, hematologically normal young and elderly human bone marrow samples. We found that aged human HSC increase in frequency, are less quiescent, and exhibit myeloid-biased differentiation potential compared to young HSC.

2011-11-11 | E-GEOD-32719 | biostudies-arrayexpress

Identification and isolation of hematopoietic stem and progenitor cell populations (scRNA-seq)

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Analysis of terminal erythroid progenitor populations PIII and PIV in Stab2-iCreF3tg/wt Ctnnb1(Ex3)fl/wt mice

Project description:Stab2-iCreF3tg/wt Ctnnb1(Ex3)fl/wt become anemic by the age of three months. We utilzed this model to investigated effects of niche Wnt-Signaling alterations on the terminal erythroid progenitor populations PIII (polychromatic erythroblasts) and PIV (orthochromatic erythroblasts and reticulocytes) by microarray transcriptome analysis.

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Gene expression profiling of novel hematopoietic stem cell subpopulations defined by CD35 expression and progenitor populations in human adult hematopoiesis

Project description:Cannonical hematopoietic stem cell (HSC) population is phenotypically defined as Lin- CD34+ CD38- CD45RA- CD90+ in human adult bone marrow. We recently identified novel HSC subpopulation defined as CD35+ HSCs. We performed microarray analysi to clarify the characteristics of CD35+ HSCs in comparison with other stem/progenitor populations. As compared to CD35- HSCs and progenitor populations, CD35+ HSCs showed lower expression of cell-cycle- or lineage-affiliated genes.suggesting their dormant or immature state.

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Identification and isolation of hematopoietic stem and progenitor cell populations (RNA-seq)

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Identification and isolation of hematopoietic stem and progenitor cell populations

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Most primitive Human Hematopoietic Stem Cell Populations

Project description:Transcriptomic profiling (RNA-seq) of the four most primitive human stem and progenitor populations. Purpose: to compare the transcriptomic profile of the four most primitive human stem and progenitor populations (all are CD34+CD38-CD45RA-): CD90+CD49f+, CD90-CD49f+, CD90+CD49f-, CD90-CD49f-. Conclusions: previouls study of gene expression analysis of these populations were performed using microarray hence, this study represents the first analysis of transcriptomes from these populations generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles of other human blood stem/progenitor populations.

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miR expression profiling of mouse hematopoietic stem and progenitor populations [miRNA]

Project description:Several individual miRNAs (miRs) have been implicated as potent regulators of important processes during normal and malignant hematopoiesis. In addition, many miRs have been shown to fine-tune intricate molecular networks, in concert with other regulatory elements. In order to study hematopoietic networks as a whole, we first created a comprehensive map of global miR expression during early murine hematopoiesis. Next, we determined the copy number per cell for each miR in each of the examined stem and progenitor cell types. As data is emerging indicating that miRs function robustly mainly when they are expressed above a certain threshold (~100 copies per cell), our database provides a resource for determining which miRs are expressed at a potentially functional level in each cell type. Finally, we combine our miR expression map with matched mRNA expression data and external prediction algorithms, using a Bayesian modeling approach to create a global landscape of predicted miR-mRNA interactions within each of these hematopoietic stem and progenitor cell subsets. This approach identifies several interaction networks comprising a “stemness” signature in the most primitive hematopoietic stem cell (HSC) populations, as well as “myeloid” patterns associated with two branches of myeloid development. Six populations of mouse hematopoietic stem and progenitors have been analyzed (LT-HSC, ST-HSC, MPP, CMP, GMP, MEP). 2-3 replicates are included for each sample.

2013-07-24 | E-GEOD-49167 | biostudies-arrayexpress

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