Similar Datasets
Project description:We isolated murine fetal liver and murine adult bone marrow and FACS sorted LT-HSCs, ST-HSCs and MPPs. We used global expression analysis by microarray to compare regulated genesets in different HSC populations in fetal and adult.
2023-04-30 | GSE173158 | GEO
Project description:This includes bulk RNA-seq samples for sorted LT-HSCs, ST-HSCs, and MPPs stimulated (or not) with LPS+PAM. Samples taken at various time points.
2017-07-19 | GSE100425 | GEO
Project description:This includes single cell RNA-seq samples for sorted LT-HSCs, ST-HSCs, and MPPs stimulated (or not) with LPS+PAM. Samples taken at 2 hours post stimulation (if applicable).
2017-07-19 | GSE100426 | GEO
Project description:Estrogens are potential regulators of the hematopoietic stem cell (HSC) niche and have effects on mature hematopoietic cells; however, whether estrogen signaling directly regulates normal and malignant HSC remains unclear. We demonstrate differential expression and specific roles of estrogen receptors (ER) in hematopoietic progenitors. ERa activation in short-term HSC and multipotent progenitors induced apoptosis. In contrast, the selective ER modulator (SERM) tamoxifen induced proliferation of quiescent long-term HSC, altered their self-renewal signature and compromised hematopoietic reconstitution following myelotoxic stress. Treatment with tamoxifen alone abolished hematopoietic progenitor expansion induced by JAK2V617F by restoring normal levels of apoptosis, blocked JAK2V617F-induced myeloproliferative neoplasm in vivo, and sensitized MLL-AF9+ leukemias to chemotherapy. Tamoxifen showed selective effects on mutant cells compared to normal ones, and had only a minor impact on steady-state hematopoiesis in disease-free animals. These results uncover specific regulation of hematopoietic progenitors by estrogens and potential anti-leukemic properties of SERM LT-HSCs, ST-HSCs and MPPs sorted from the bone marrow of mice treated with tamoxifen or vehicle (3 biological replicates per group)
2014-12-04 | E-GEOD-62621 | biostudies-arrayexpress
Project description:LT-HSC and ST-HSCs were FACS sorted (>10^4cells per sample), cultured for two days in presence or absence of 1 mM NR and total RNA extracted
2019-01-17 | GSE125211 | GEO
Project description:Here we tracked transcriptional changes in LT, ST-HSC and MLP after transplantation into immunocompromised mice. We show that LT- and ST-HSC activate similar pathways upon transplantation but they modulate distinct sets of genes. Total RNA was obtained from flow-sorted populations of human LT-, ST-HSC and MLP isolated from cord blood or immunocompromised mice transplanted with human at hematopoeitic progenitors at different time points after transplantation.
2015-02-20 | E-GEOD-58299 | biostudies-arrayexpress
Project description:We applied transcriptional analysis of multiple, highly fractionated stem and progenitor populations from patients with acute myeloid leukemia (AML) with complex karyotype. We isolated phenotypic long-term HSC (LT-HSC), short-term HSC (ST-HSC), and committed granulocyte-monocyte progenitors (GMP) from individual patients, and measured gene expression profiles of each population, and in comparison to their phenotypic counterparts from age-matched healthy controls. In this dataset, we include the expression data obtained from sorted hematopoietic stem and progenitor cells from patients with AML with complex karyotype.
2020-05-29 | GSE115154 | GEO
Project description:Life-long blood production requires long-term hematopoietic stem cells (LT-HSC) - marked by stemness states involving quiescence and self-renewal - to transition into activated short-term HSC (ST-HSC) with reduced stemness. As few transcriptional changes underlie this transition, we used single-cell and bulk ATAC-seq on human HSC and stem/progenitor subsets (HSPC) to uncover chromatin accessibility signatures, one including LT-HSC (LT/HSPC signature) and another excluding LT-HSC (Act/HSPC signature). These signatures inversely correlated during early hematopoietic commitment and differentiation. The Act/HSPC signature contains CTCF binding sites mediating 351 chromatin interactions, engaged in ST-HSC but not LT-HSC, enclosing multiple stemness pathway genes active in LT-HSC and repressed in ST-HSC. CTCF silencing derepressed stemness genes, restraining quiescent LT-HSC from transitioning to activated ST-HSC. Hence, 3D chromatin interactions centrally mediated by CTCF, endow a gatekeeper function that governs the earliest fate transitions HSC make by coordinating disparate stemness pathways linked to quiescence and self-renewal.
2020-11-23 | GSE159287 | GEO
Project description:During adult bone marrow hematopoiesis, extremely rare and dormant hematopoietic stem cells (HSCs) harbor the highest self-renewal activity within all blood cells. They give rise to active HSCs, which generate multipotent progenitors (MPPs) which differentiate into lineage-committed progenitors and subsequently mature cells. While HSCs are characterized by long-term self-renewal capacity, quiescence and multipotency, MPPs show steadily decreasing self-renewal activity, are cycling but are thought to maintain multipotency. To establish a comprehensive genome-wide landscape of expressed transcripts, we performed a quantitative transcriptome analysis by next-generation sequencing (RNA-seq) of seven ex vivo FACS-sorted mouse HSC/progenitor populations. Eleven-fold coverage of the genome was achieved, revealing quantification of > 27,000 mRNA species of which 589 long non-coding RNAs (lncRNAs) were quantified. A profile of 79 differentially expressed lncRNAs in HSC-MPPs was identified suggesting a role for these RNA species in HSC/progenitor biology. Expression clusters of transcription factors and cell adhesion molecules are identified between the different cell populations. Dormant HSCs, as identified by label-retaining assays, showed a highly differential expression profile compared to active HSCs. In addition to >200 differentially expressed cell surface receptors and lncRNAs, processes including metabolism, development, immune response, signaling (TGFb, Kit, senescence/autophagy) are distinct between the two types of HSCs. In addition, using whole cell proteome analysis of FACS-sorted HSCs and MPP1, >6,000 proteins were identified by quantitative tandem mass spectrometry. Quantification of these proteins confirmed the close relationship between these cell types also seen in their transcript profile and revealed processes such as energy metabolism, immune response and cell cycle to be modulated along early lineage progression. While MPP1/2 still show multilineage potential in reconstitution experiments, a strong lineage bias and low self-renewal potential is observed in mice reconstituted with MPP3/4. These functional differences are accompanied by complex changes in their transcriptome and is also revealed by principal component analysis. In summary, the global mRNA, lncRNA and proteome signatures uncovered here and which are complemented by functional assays, provide a comprehensive and searchable resource of the molecular make-up of the entire HSC/progenitor population present in the bone marrow. These data will provide the basis for a global understanding of stem cell biology in the adult blood system. The uploaded dataset corresponds to the quantitative proteomic comparison of HSC and MPP1, which was done in three biological replicates. Data analysis: MS raw data files were processed with MaxQuant (version 1.3.0.5) (Cox and Mann 2008). Enzyme specificity was set to trypsin/P and a maximum of two missed cleavages were allowed. Cysteine carbamidomethylation and methionine oxidation were selected as fixed and variable modifications, respectively. The derived peak list was searched using the built-in Andromeda search engine (version 1.3.0.5) in MaxQuant against the Uniprot mouse database (2013.02.20) containing 75,721 proteins to which 247 frequently observed contaminants as well as reversed sequences of all entries had been added. Initial maximal allowed mass tolerance was set to 20 ppm for peptide masses, followed by 6 ppm in the main search, and 0.5 Dalton for fragment ion masses. The minimum peptide length was set to six amino acid residues and three labeled amino acid residues were allowed. A 1% false discovery rate (FDR) was required at both the protein level and the peptide level. In addition to the FDR threshold, proteins were considered identified if they had at least one unique peptide. The protein identification was reported as an indistinguishable “protein group” if no unique peptide sequence to a single database entry was identified. The ‘match between runs’ was enabled for consecutive peptide fractions with a 2 minutes time window. The iBAQ algorithm was used for estimation of the abundance of different proteins within a single sample (proteome) (Schwanhausser 2011). For evaluation of differential protein expression between HSC and MPP1, statistical analysis was performed for the proteins quantified in all three replicates using the Limma package in R/Bioconductor (Gentleman 2004, Smyth 2004). After fitting a linear model to the data, an empirical Bayes moderated t-test was used for the protein ratios, which were weighted on log10(summed peptide intensities) in order to capture the effect that the statistical spread of unregulated proteins is much more focused for highly abundant proteins than for low abundance ones (Cox 2008). P-values were then adjusted for multiple testing with Benjamini and Hochberg's method and proteins with an adjusted p-value lower than 0.1 were considered to be differentially expressed between HSC and MPP1. Associated transcriptomics data has been deposited at ArrayExpress with accession E-MTAB-2262.
2014-08-21 | PXD000572 | Pride
Project description:As the biology of hematopoietic stem cells (HSCs) has been predominantly studied under transplantation conditions, it has been challenging to study dynamic HSC behaviors in their native niche given under steady state conditions. Here, we describe the generation of a double knock-in fluorescent reporter that restricts the reporter labeling exclusively to the LT-HSC compartment. Single cell RNAseq comparing previously published LSK signatures (GEO: GSE90742) to our sorted fluorescently labeled cells (sorted without the use of any other cell surface markers) demonstrates that the fluorescently marked cells in our unique mouse model are exclusively found in the LT-HSC compartment in terms of their overal RNA content. This confirms that the generated mice label LT-HSCs in a highly specific manner.
2019-09-23 | GSE115908 | GEO