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accession-icon SRP050983
Single-cell RNA Seq of hematopoietic stem and progenitor cells
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

This dataset is part of a study that investigated how the hematopoietic system coordinates the rapid and efficient regeneration of the megakaryocytic lineage during stress scenarios. We found that the phenotypic hematopoietic stem cell (HSC) compartment contains stem-like megakaryocyte-committed progenitors (SL-MkPs), a cell population that shares many features with multipotent HSCs and serves as a lineage-restricted emergency pool for inflammatory insults. This dataset contains single-cell RNA sequencing data of 30 hematopoietic stem and progenitor cells which, in the context of our study, confirmed that MK-specfic transcripts are of highly variable expression in HSCs. The dataset further showed that variations in MK transcript expression in HSCs is not correlated with global transcriptomic rearrangements. Overall design: Murine bone marrow cells were sorted by Lin-cKit+CD150+CD48- (referred to as cd150+ in the following) and Lin-cKit+CD150- (referred to as cd150- in the following). Transcriptomes of 11 cd150- and 9 cd150+ HSCs were determined using QUARTZ, a single-cell RNASeq protocol

Publication Title

Inflammation-Induced Emergency Megakaryopoiesis Driven by Hematopoietic Stem Cell-like Megakaryocyte Progenitors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13743
Comparison of nave, postmitotic (CD44-lo/CD62L-hi) and effector (CD44-hi/CD62L-lo) CD8+ Tcells during BMT in GVHD mice
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Nave CD44-lo/CD62L-hi/CD8+ T cells from C3H.SW mice were compared to CD44-hi/CD82L-lo/CD8+ effector memory T cells and CD44-lo/CD62L-hi/CD8+ postmitotic T cells, using 3 biological replicates of each type of sample. The later two cells types were highly purified at day 14 after transplantation from GVHD B6/SJL mice receiving donor C3H.SW mouse-derived naive CD44-lo/CD62L-hi/CD8+ T cells and T cell-depleted bone marrow. Recipient mice had first been lethally irradiated at a dose of 10Gy in two fractions. This is a MHC-identical minor histocompatibility antigen-mismatched mouse GVHD model of human allogeneic hematopoietic stem cell transplantation. Naive T cell samples were from pools of 2 mice each, while effector memory and postmitotic T cell samples were purified from pools of T cells from 4 mice each. After RNA extraction and cleanup, biotin labeled cRNA was prepared from 600 ng total RNA, using two rounds of in vitro transcription, and hybridized to Affymetrix Mouse Genome 430A 2.0 arrays using standard techniques.

Publication Title

Identification of stem cell transcriptional programs normally expressed in embryonic and neural stem cells in alloreactive CD8+ T cells mediating graft-versus-host disease.

Sample Metadata Fields

Sex

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accession-icon GSE89073
Expression data from WT and RGS5 KO mice treated with DOCA/salt
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The activation of vascular smooth muscle cells (VSMCs) during hypertension-induced arterial remodeling processes relies on a change of the gene expression program, i.e., up-regulation of genes to induce migration, proliferation and matrix degradation/synthesis. At the same time, genes controlling the quiescent, contractile VSMC phenotype are down-regulated. We used microarrays to detail the global program of gene expression underlying hypertension-induced vascular remodeling in the presence and absence of regulator of G-protein signaling 5 (RGS5) and identified distinct classes of down-regulated genes during vascular remodeling when RGS5 was not present.

Publication Title

Hypertension-evoked RhoA activity in vascular smooth muscle cells requires RGS5.

Sample Metadata Fields

Sex, Specimen part, Treatment

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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