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Series GSE61533 Query DataSets for GSE61533
Status Public on May 26, 2015
Title Molecular signatures of heterogeneous stem cell populations are resolved by linking single cell functional assays to single cell gene expression
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary The discovery of significant heterogeneity in the self-renewal durability of adult haematopoietic stem cells (HSCs) has challenged our understanding of the molecules involved in population maintenance throughout life. Gene expression studies in bulk populations are difficult to interpret since multiple HSC subtypes are present and HSC purity is typically less than 50% of the input cell population. Numerous groups have therefore turned to studying gene expression profiles of single HSCs, but again these studies are limited by the purity of the input fraction and an inability to directly ascribe a molecular program to a durable self-renewing HSC. Here we combine single cell functional assays with flow cytometric index sorting and single cell gene expression assays to gain the first insight into the gene expression program of HSCs that possess durable self-renewal. This approach can be used in other stem cell systems and sets the stage for linking key molecules with defined cellular functions.
Overall design single-cell RNA-Seq of haematopoietic stem cells
Contributor(s) Wilson N, Diamanti E
Citation(s) 26004780
Submission date Sep 18, 2014
Last update date May 15, 2019
Contact name Evangelia Diamanti
Phone 01223 62317
Organization name University of Cambridge
Department Haematology
Lab Gottgens
Street address Wellcome Trust / MRC Building, Hills Road
City Cambridge
ZIP/Postal code CB2 0XY
Country United Kingdom
Platforms (1)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
Samples (96)
GSM1507563 haematopoietic stem cell [HSC1_1]
GSM1507564 haematopoietic stem cell [HSC1_2]
GSM1507565 haematopoietic stem cell [HSC1_3]
BioProject PRJNA261416
SRA SRP047290

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Supplementary file Size Download File type/resource
GSE61533_HTSEQ_count_results.xls.gz 2.2 Mb (ftp)(http) XLS
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Processed data are available on Series record
Raw data are available in SRA

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