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Series GSE97310 Query DataSets for GSE97310
Status Public on Mar 29, 2018
Title Single-cell RNA-seq reveals the transcriptional landscape and heterogeneity of aortic macrophages in murine atherosclerosis
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary We have applied single-cell RNA sequencing as an unbiased profiling strategy to interrogate and classify aortic macrophage heterogeneity at the single-cell level in atherosclerosis.
Overall design We performed single-cell RNA sequencing of total aortic CD45+ cells extracted from the non-diseased (chow fed) and atherosclerotic (11 or 20 weeks of high-fat diet) aorta of low-density lipoprotein receptor-deficient (Ldlr-/-) mice.
Contributor(s) Cochain C, Vafadarnejad E, Arampatzi P, Pelisek J, Winkels H, Ley K, Wolf D, Saliba AE, Zernecke A
Citation(s) 29545365
Submission date Apr 02, 2017
Last update date Aug 26, 2019
Contact name Antoine-Emmanuel Saliba
Phone +49-931-31-81341
Organization name Helmholtz Institute for RNA-based Infection Research
Street address Josef-Schneider-Straße 2 / D15
City Würzburg
ZIP/Postal code 97080
Country Germany
Platforms (2)
GPL17021 Illumina HiSeq 2500 (Mus musculus)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (5)
GSM2561498 L1700166
GSM2882367 A9
GSM2882368 A10
BioProject PRJNA381358
SRA SRP102896

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
GSE97310_10X_Matrices_CircRes2018.tar.gz 11.2 Mb (ftp)(http) TAR
GSE97310_RAW.tar 249.2 Mb (http)(custom) TAR (of CSV, H5, TAR)
GSE97310_README.txt 206 b (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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