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Series GSE64002 Query DataSets for GSE64002
Status Public on Aug 31, 2015
Title Single-cell RNA Seq of hematopoietic stem and progenitor cells
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary 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
 
Contributor(s) Velten L, Haas SF, Steinmetz LM, Trumpp A, Essers M
Citation(s) 26299573
Submission date Dec 09, 2014
Last update date Mar 19, 2019
Contact name Lars Velten
E-mail lars.velten@embl.de
Organization name EMBL
Department Genome Biology
Lab Steinmetz Lab
Street address Meyerhofstr. 1
City Heidelberg
ZIP/Postal code 69117
Country Germany
 
Platforms (1)
GPL13112 Illumina HiSeq 2000 (Mus musculus)
Samples (20)
GSM1562235 cd150minus_C10
GSM1562236 cd150minus_C12
GSM1562237 cd150minus_C6
Relations
BioProject PRJNA269744
SRA SRP050983

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE64002_RAW.tar 2.4 Mb (http)(custom) TAR (of TXT)
GSE64002_readcounts.csv.gz 345.1 Kb (ftp)(http) CSV
Raw data are available in SRA
Processed data provided as supplementary file
Processed data is available on Series record

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