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Sample GSM6128525 Query DataSets for GSM6128525
Status Public on Oct 06, 2023
Title Cecum-IEL
Sample type SRA
 
Source name intraepitehlial lymphocytes (IELs)
Organism Mus musculus
Characteristics strain: C57BL/6
tissue: Cecum
cell type: Live CD45+ cells
infection: None
Extracted molecule polyA RNA
Extraction protocol IELs were extracted from mice colons and sorted CD45.2+ leukocytes were then loaded onto to the 10X ChromiumTM Single Cell 3’ Chip to be encapsulated forming Gel Beads in Emulsion (GEM) and cDNA was generated as per 10X genomics protocol.
Single cell RNA sequencing libraries were prepared according to 10X Genomics protocol and using the ChromiumTM Single Cell 3’ Library and Gel Bead Kit (v2)
 
Library strategy RNA-Seq
Library source transcriptomic single cell
Library selection cDNA
Instrument model Illumina NextSeq 500
 
Data processing Raw 10x Chromium scRNA-seq data were quantified using the cellCounts function in Bioconductor package Rsubread (ver 2.3.6). Sequencing reads were mapped to the GRCm38/mm10 reference genome. Mapped reads were deduplicated and counted to the NCBI mouse RefSeq genes (build 38.1) to produce unique molecular identifier (UMI) counts for each gene in each cell. Genes that failed to express in at least three cells in at least one sample were excluded from analysis. An expressed gene in a cell has at least one UMI count. Mitochondrial genes, ribosomal genes and genes with no known symbols were all excluded from analysis. Cells were excluded from analysis if they expressed < 200 genes or > 2500 genes, or had > 20% of mitochondrial gene content, or had > 40% of ribosomal gene content. Seurat (version 3.0.0) was used to perform t-distributed stochastic neighbour embedding (t-SNE) dimension reduction and unsupervised cell clustering.
The unsupervised cell clustering was performed by using shared nearest neighbour (SNN) modularity optimisation with a resolution parameter of 0.5 and nearest neighbour number of 20.
Assembly: mm10
Supplementary files format and content: Cell Ranger output files (barcodes.tsv, genes.tsv, matrix.mtx)
 
Submission date May 10, 2022
Last update date Oct 06, 2023
Contact name Wei Shi
E-mail(s) Wei.Shi@onjcri.org.au
Organization name Olivia Newton John Cancer Research Institute
Department Bioinformatics and Cancer Genomics
Street address Level 5, ONJ Cancer Centre, 145 Studley Rd
City Heidelberg
State/province VIC
ZIP/Postal code 3084
Country Australia
 
Platform ID GPL19057
Series (2)
GSE202690 Single cell gene expression analysis of mouse CD45.2+ intraepithelial lymphocyes (IELs) from stomach, small intestine, cecum and colon.
GSE202692 Colorectal cancer
Relations
BioSample SAMN28180016
SRA SRX15226354

Supplementary file Size Download File type/resource
GSM6128525_Cecum_barcodes.tsv.gz 22.9 Kb (ftp)(http) TSV
GSM6128525_Cecum_genes.tsv.gz 50.8 Kb (ftp)(http) TSV
GSM6128525_Cecum_matrix.mtx.gz 14.3 Mb (ftp)(http) MTX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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