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Sample GSM2561498 Query DataSets for GSM2561498
Status Public on Mar 29, 2018
Title L1700166
Sample type SRA
 
Source name Leukocytes
Organism Mus musculus
Characteristics strain/background: C57BL/6J
genotype/variation: Ldlr-/-
Sex: male
tissue: aorta
cell type: leukocytes
cell marker: CD45+
treatment: 20 weeks high fat, high cholesterol diet
Extracted molecule total RNA
Extraction protocol We sorted total viable CD45+ leukocytes from the aortas of male Ldlr-/- mice. Three samples were tested: control, after 11 and 20 weeks of a high fat, high cholesterol diet.
Chromium™ Controller was used for partitioning single cells into nanoliter-scale Gel Bead-In-EMulsions (GEMs) and Single Cell 3’ reagent kit v2 for reverse transcription, cDNA amplification and library construction (10x Genomics). The detailed protocol was provided by 10x Genomics.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NextSeq 500
 
Description Single-cell RNA-Seq
Data processing Data were analyzed using Cell Ranger™ v1.3 pipelines and were visualized by Loupe™ Cell Browser. Both are available in 10x Genomics website.
Genome_build: mm10 (GRCm38)
Supplementary_files_format_and_content: csv format: Files include mean UMI counts, log2 fold changes and adjusted p-values for the differentially expressed genes among the identified cell clusters.
Supplementary_files_format_and_content: h5 format: Contains the per molecule read information from Cell Ranger. The instructions to read the matrix in hdf5 format can be found here: https://support.10xgenomics.com/single-cell/software/pipelines/latest/advanced/h5_matrices
 
Submission date Apr 02, 2017
Last update date Aug 22, 2019
Contact name Antoine-Emmanuel Saliba
E-mail(s) emmanuel.saliba@helmholtz-hzi.de
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
 
Platform ID GPL19057
Series (1)
GSE97310 Single-cell RNA-seq reveals the transcriptional landscape and heterogeneity of aortic macrophages in murine atherosclerosis
Relations
BioSample SAMN06674999
SRA SRX2699460

Supplementary file Size Download File type/resource
GSM2561498.h5 52.2 Mb (ftp)(http) H5
GSM2561498_differential_expression.csv.gz 1.0 Mb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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