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Sample GSM5151468 Query DataSets for GSM5151468
Status Public on Mar 10, 2021
Title intestinal stromal cells pre-capture [WTCHG_288196_204208]
Sample type SRA
 
Source name colonic mucosa
Organism Homo sapiens
Characteristics library: pre-capture
cell type: intestinal stromal cells
donor_id: p13
endoscopic_appearance: Uninflamed
Treatment protocol non
Growth protocol cell isolation protocol is described in Kinchen et.al., Cell, 2018; PMID: 30270042
Extracted molecule total RNA
Extraction protocol protocol is described in Kinchen et.al., Cell, 2018; PMID: 30270042
Pre-capture libraries were prepared following the 10x droplet-based protocol as described in Kinchen et.al., Cell, 2018; PMID: 30270042. Post-capture libraries were sequenced on 1 lane of a HiSeq 4000 at 75 bp paired end
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 4000
 
Description counts_genes_symbols_PREcapture_GI.csv
Data processing RNA-seq data were mapped to the hg38 assembly via STAR version 2.4.2
ribosomal rRNA was removed with the SortMeRNA version 2.1
read quality check with FastQC Version 0.10.1
read alignment quatification into gene counts with featureCount of Subread version 1.4.0
We excluded libraries with less than 2000 expressed genes; low complexity, where the % of 200 most expressed features represented more than 50% of total number of counts
Genome_build: hg38
Supplementary_files_format_and_content: Supplementary files of raw counts are tab-delimited text files
 
Submission date Mar 10, 2021
Last update date Mar 11, 2021
Contact name Alexandra Pokhilko
Organization name University of Oxford
Department Nuffield Department of Clinical Neurosciences
Street address John Radcliffe Hospital, Headington
City Oxford
ZIP/Postal code OX3 9DS
Country United Kingdom
 
Platform ID GPL20301
Series (2)
GSE168626 Targeted single cell RNA-sequencing of transcription factors facilitates biological insights from human cell experimental models [intestinal stromal cells pre-capture]
GSE168634 Targeted single-cell RNA sequencing of transcription factors facilitates biological insights from human cell experimental models
Relations
BioSample SAMN18241724
SRA SRX10304342

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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