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Sample GSM1704301 Query DataSets for GSM1704301
Status Public on Dec 31, 2015
Title 4_CD4- ILC1
Sample type SRA
 
Source name sorted CD4- ILC1
Organism Homo sapiens
Characteristics cohort: Control; healthy control subject
age (yrs): 48
gender: Female
tissue: Peripheral blood
cell type: sorted CD4- ILC1
Extracted molecule total RNA
Extraction protocol Cell subsets were sorted, then lysed to release RNA, converted to cDNA, and amplified using the SMARTer Ultra Low RNA Kit for Illumina Sequencing (Clontech)
Sequencing libraries were constructed from the amplified cDNA using a modified protocol of the Nextera XT DNA sample preparation kit (Illumina), to generate Illumina-compatible libraries.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2500
 
Description Samples 3-4 are from the same subject
Data processing Base-calling was performed automatically in Illumina BaseSpace after sequencing; FASTQ reads were trimmed in Galaxy using FastqMcf (FastqMcf tool, v.1.0.0) to remove SMARTer adapter sequences
Reads were aligned in Galaxy using bowtie and TopHat (Tophat for Illumina tool, v.1.5.0).
Reads representing potential PCR duplicates were removed in Galaxy using SAMTools rmdup (rmdup tool, v.1.0.1)
Read counts per Ensembl gene ID were estimated in Galaxy using htseq-count (htseq-count tool, v.0.4.1).
Samples with low total raw counts (< 50,000; samples '13_CD4+ ILC1' and '14_CD4- ILC1') were removed prior to analysis.
Standard workflow in DESeq2 was followed to compare CD4+ vs. CD4- in ILC1 libraries using raw counts. Default values for normalization, calculating dispersion, and fitting the model were used in the DESeq function. Similarly, default values for filtering, based on low counts and outliers using Cook's distance, were used in the results function.
Genome_build: GRCh37
Supplementary_files_format_and_content: ILC1rawCounts.csv: comma-separated matrix – first column contains Ensembl gene ID, remaining columns include raw read counts assigned for each library. Data represents all processing steps up to read counting, not including sample QC and analysis with DESeq2.
 
Submission date Jun 05, 2015
Last update date May 15, 2019
Contact name Scott Presnell
E-mail(s) SPresnell@benaroyaresearch.org
Organization name Benaroya Research Institute
Street address 1201 Ninth Avenue
City Seattle
State/province WA
ZIP/Postal code 98101
Country USA
 
Platform ID GPL16791
Series (1)
GSE69596 Gene expression analysis of CD4+ and CD4- ILC1 subsets by RNAseq
Relations
BioSample SAMN03762184
SRA SRX1050076

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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