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Sample GSM1000414 Query DataSets for GSM1000414
Status Public on Jan 17, 2013
Title OSC RNA-seq biological replicate 1
Sample type SRA
 
Source name OSC cells
Organism Drosophila melanogaster
Characteristics cell type: OSC cells
sample type: PCR amplified cDNA (cellular polyA+ RNA)
Extracted molecule polyA RNA
Extraction protocol RNA was isolated using QIAShredder (QIAGEN; cat.no. 79654) and RNeasy Mini Kit (QIAGEN; cat.no. 74106; including DNase I on column digestion) from 5-10 x 10^6 cells. 5ug total RNA was then processed as described before (S. Zhong et al., High-throughput illumina strand-specific RNA sequencing library preparation., Cold Spring Harbor protocols 2011, 940-9 (2011)) with minor adjustments. End-repair, dA-tailing and adapter ligation were performed with the NEBNext DNA Library Prep Reagent Set for Illumina (NEB, cat.no. E6000L) with proportionally reduced enzyme amounts to account for low RNA concentrations. Indexed library amplification was carried out using KAPA Library Amp Real Time (KAPA biosystems: cat.no. KK2701).
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 2000
 
Description PCR amplified cDNA (cellular polyA+ RNA)
Data processing Basecall where performed using Real-Time Analysis (RTA) version > 1.12.4.2 or CASAVA 1.9.1
Reads were mapped to the dm3 genome and transcriptome using bowtie (bowtie -f -v 3 -m 1 --best --strata --quiet -S INDEX -) and bfast reconciling the outputs. We estimated RPKM values for each gene based on the number of reads falling over each exon merging exons from a all genes' isoforms into one meta-transcript. Reads counts were normalized by the total reads per library and the merged meta-gene exons lengths.
Genome_build: dm3
Supplementary_files_format_and_content: Processed data files are in plain text. For the RNA-seq data we report 3 different gene identifiers and the RPKM value for each gene.
 
Submission date Sep 10, 2012
Last update date May 15, 2019
Contact name Daniel Gerlach
E-mail(s) daniel.gerlach@boehringer-ingelheim.com
Organization name Boehringer Ingelheim RCV GmbH & Co KG
Department Global Computational Biology and Digital Sciences
Street address Dr.-Boehringer-Gasse 5-11
City Vienna
ZIP/Postal code 1121
Country Austria
 
Platform ID GPL13304
Series (1)
GSE40739 Genome-wide quantitative enhancer activity maps identified by STARR-seq
Relations
Reanalyzed by GSM3281486
SRA SRX187087
BioSample SAMN01176872

Supplementary file Size Download File type/resource
GSM1000414_OSC_RNAseq_rep1.rpkm.txt.gz 164.1 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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