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Sample GSM4588083 Query DataSets for GSM4588083
Status Public on Jun 18, 2020
Title Non-IPF patient 1433
Sample type SRA
 
Source name cultured epithelial cells
Organism Homo sapiens
Characteristics condition: control
cell type: Epithelial cells differentiated from mesenchymal stems cell-like cells
Treatment protocol Epithelial cell-specific growth medium Cnt-17 (CELLnTEC Advanced Cell Systems AG, Bern, Switzerland)
Growth protocol DMEM supplemented with fetal bovine serum (10%), penicillin (20 U/l), streptomycin (20 μg/ml), amphotericin B (2.5 μg/ml) (37°C, 21% O2, 5% CO2)
Extracted molecule total RNA
Extraction protocol MicroElute Total RNA Kit (Omega Bio-Tek, Norcross, GA)
TruSeq Stranded mRNA Library Prep Kit High Throughput (Illumina, San Diego, CA)
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NextSeq 500
 
Description BSSE_QGF_105597
Data processing Primary analysis of sequencing data was conducted using RTA version 2.4.11 and bcl2fastq v2.20.0.422 (both from Illumina)
All analyses were done using the R statistical software, including packages from the Bioconductor such edgeR (v. 3.24.3)
Read quality was assessed with the FastQC tool (version 0.11.5)
Reads were mapped to the human hg38 genome assembly with STAR with default parameters, except filtering out multimapping reads with more than 10 alignment locations (outFilterMultimapNmax =10) and filtering reads without evidence in the spliced junction table (outFilterType=“BySJout”).
Gene expression was quantified by the qCount function of the Bioconductor package QuasR as the number of reads that started within any annotated exon of a gene from the UCSC knownGenes annotation (downloaded on 2017-04-03). Read and alignment quality was evaluated using the qQCReport function of QuasR.
Genome_build: hg38
Supplementary_files_format_and_content: dataset2_hg38AnalysisSet_knownGene_geneLevel_counts.rds, dataset2_hg38AnalysisSet_knownGene_geneLevel_counts.csv
 
Submission date Jun 02, 2020
Last update date Jun 18, 2020
Contact name Florent Baty
E-mail(s) [email protected]
Phone 0041 71 494 2809
Organization name Cantonal Hospital St. Gallen
Department Lung Center
Street address Rorschacherstrasse 95
City St. Gallen
ZIP/Postal code 9007
Country Switzerland
 
Platform ID GPL18573
Series (1)
GSE151673 Transcriptomic Profiling of Fibrosis-Specific Epithelial Cells in Idiopathic Pulmonary Fibrosis
Relations
BioSample SAMN15086225

Supplementary data files not provided
Raw data not provided for this record
Processed data provided as supplementary file

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