NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM3043732 Query DataSets for GSM3043732
Status Public on Jun 13, 2019
Title Clarke_Bulk_Donor-14_NIL_CD103pos
Sample type SRA
 
Source name Non-involved lung
Organism Homo sapiens
Characteristics cell type surface markers: CD45+CD3+CD4-CD8+CD103plus/minus
cell type: Lymphocyte
donor #: Donor-14
Treatment protocol Were noted samples were stimulated with 4 hours of PMA/ionomycine treatment, otherwise sampled were directly ex-vivo
Growth protocol Cell types were isolated from tissue samples and directly sorted by Flow cytometry into trizol or lysis buffer. No particular cell growth procedure was required.
Extracted molecule polyA RNA
Extraction protocol RNA-seq was performed as described previously by Seumois et al 2016 and Ganesan et al 2017 using smart-seq2 method with 0.5ng of total RNA. Total RNA was purified using a miRNAeasy kit (Qiagen) and quantified as described previously (Seumois et al.Am J Clin Exp Immunol. 2012; PMID:23304658).
Barcoded Illumina sequencing libraries were sonstructed as per the protocol described by illumina (Nextera XT library preparation kit, Illumina).
DNA sequencing - Libraries were sequenced on the HiSeq2500 Illumina platform to obtain 50-bp single end reads (barcoded Illumina sequencing libraries (Nextera XT library preparation kit, Illumina)).
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2500
 
Description Whole Transcriptome Amplification (Smart-seq2 - Picelli et al.2014)
Data processing Bulk RNA–seq data were mapped against the human hg19 reference genome using TopHat (v2.0.9 , (--library-type fr-unstranded --no-coverage-search
Sequencing read coverage per gene was counted using HTSeq-count (-m union -s yes -t exon -i gene_id, http://www huber.embl.de/users/anders/HTSeq/). Counts per gene are obtained by counting all the gene_id, http://www huber.embl.de/users/anders/HTSeq/). Counts per gene are obtained by counting all the transcripts mapping to a gene and is together referred to as transcript.
Genome_build: hg19
Supplementary_files_format_and_content: Clarke_Bulk_raw-counts.txt contains raw counts of sequencing reads obtained with HTSeq-count
Supplementary_files_format_and_content: Clarke_Bulk_TPM.txt contains Transcript per Million normalized counts
 
Submission date Mar 15, 2018
Last update date Jun 13, 2019
Contact name Pandurangan Vijayanand
E-mail(s) vijay@lji.org
Organization name La Jolla Institute for Allergy and Immunology
Department Division of Vaccine Discovery
Lab VD-Vijay
Street address 9420 Athena Circle
City La Jolla
State/province California
ZIP/Postal code 92037
Country USA
 
Platform ID GPL16791
Series (2)
GSE111892 Single-cell transcriptomic analysis of tissue resident memory T cells in human lung cancer [ bulk RNA-seq]
GSE111898 Single-cell transcriptomic analysis of tissue resident memory T cells in human lung cancer.
Relations
BioSample SAMN08718003
SRA SRX3797689

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

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap