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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 GSE18798
Expression data from PonA stimulated transfected U373 Cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Induction of proximal components of the PI3-K/AKT pathway stimulates the expression of several genes, including several genes in the JAK/STAT pathway, documenting a crosstalk between these two important pathways.

Publication Title

STAT3 is a substrate of SYK tyrosine kinase in B-lineage leukemia/lymphoma cells exposed to oxidative stress.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE94504
RNA expression data from mouse endothelial cells isolated from tumors that were exposed to interferon gamma (IFN) in vivo
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

While it is clear that T cell derived IFN has to act on tumor stroma cells for rejection of solid tumors, it is not clear which tumor stroma cells are targets. We studied how IFN affects gene expression in tumor blood vessels in vivo. To study the effect on endothelial cells, we either used a model of ectopic IFN (MCA313 tumors) or IFN-GFP fusion protein (J558L tumors) expression in tumors, or we used T cell derived IFN in large vascularized 16.113 tumours. Tumors were grown in mice that were expressing the IFN receptor ubiquitously (J558L tumors + IFN-GFP treatment and 16.113 tumors + T cell treatment) or in some experiments the IFN-receptor was expressed exclusively in endothelial cells (MCA313 tumor + IFN treatment).

Publication Title

Tumour ischaemia by interferon-γ resembles physiological blood vessel regression.

Sample Metadata Fields

Sex, Specimen part, Time

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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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