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Sample GSM1216821 Query DataSets for GSM1216821
Status Public on Jul 17, 2014
Title 81
Sample type SRA
 
Source name pancreatic islets
Organism Homo sapiens
Characteristics tissue: pancreatic islets
age: 69
bmi: 24.5
gender: Male
year of birth: 1942
hba1c: 5.4
Extracted molecule total RNA
Extraction protocol Pancreatic islets were isolated according to the isolation protocol described from Nordic Islet Transplantation Programme (http://www.nordicislets.org). Illumina TruSeq RNA Sample Prep Kit was used with 1 ug of total RNA for the construction of sequencing libraries.
RNA libraries were prepared for sequencing using standard Illumina protocols
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2000
 
Data processing Illumina Casava1.8.2 software used for basecalling.
Paired-end 101bp length output reads were aligned to the human reference genome (UCSC hg19) with TopHat v.2.0.2 (PMID: 19289445) using Bowtie v.0.12.8 (PMID: 19261174). The TopHat parameters explicitly used are tophat -p 30 -G genes.gtf --library-type fr-unstranded -r 100 -F 0.05 --microexon-search.
The annotated RefSeq GTF transcript and fasta genome files were from UCSC and were downloaded from http://cufflinks.cbcb.umd.edu/igenomes.html. Gene expression was measured as the normalized sum of expression of all its exons. The dexseq_count python script (PMID: 22722343) was used by counting uniquely mapped reads in each exon.
Gene and exon expression normalizations were then performed using the TMM method (PMID: 20196867), and further normalization was applied by adjusting the expression to gene or exon length respectively.
In addition, only the genes and exons that had reads mapped to them in at least 5% of the samples were kept.
Genome_build: hg19
Supplementary_files_format_and_content: tab-delimited text files include TMM gene and exon values normalized for each Sample (and also normalized by gene and exon length respectively). The processed files also include the genomic coordinates of the genes and exons annotated
 
Submission date Aug 27, 2013
Last update date May 15, 2019
Contact name Joao Fadista
E-mail(s) joao.fadista@med.lu.se
Organization name Lund University Diabetes Centre
Street address Jan Waldenströms gata 35
City Malmö
ZIP/Postal code 205 02
Country Sweden
 
Platform ID GPL11154
Series (2)
GSE50244 Global transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism [RNA-seq]
GSE50398 Global transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism
Relations
BioSample SAMN02335306
SRA SRX340198

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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