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Status |
Public on Sep 20, 2012 |
Title |
SL13404 |
Sample type |
SRA |
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Source name |
Th17 in vitro (RPMI)
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Organism |
Mus musculus |
Characteristics |
genotype: 24h siInhba; 120309b time_point: 24h application: RNA-Seq cell type: Th17
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Growth protocol |
Naive CD4 T cells were typically cultured under standard non-polarizing Th0 or Th17 differentiation conditions for 48h (or as indicated).
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Extracted molecule |
polyA RNA |
Extraction protocol |
RNA was extracted from cells using the Trizol protocol; Transcription factor ChIP/FAIRE-Seq was performed from sonicated, PFA-crosslinked nuclear lysates and for ChIP, TF-DNA complexes were isolated using specific antibodies; Histone ChIP was performed using mono/di-nucleosomes prepared from MNase digested chromatin. mRNA was prepared from total RNA by poly-A selection and cDNA synthesis was carried out as described (Mortazavi et al., 2008). The resulting dsDNA was prepared for sequencing by ligation of Illumina sequencing adapters, selection of 225 bp fragments from a 2% agarose SizeSelect E-Gel (Invitrogen), and amplification with 15 cycles of PCR using Illumina paired- end primers. Alternatively, some libraries were made using the Nextera tagmentation protocol described (Gertz et al., 2012).
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina HiSeq 2000 |
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Data processing |
All libraries were sequenced with single-end 36 bp reads on an Illumina GAIIx or single-end 50 bp reads on an Illumina HiSeq 2000 Sequence reads were mapped to the mus musculus genome (version mm9) with Bowtie (version 0.12.7) (Langmead et al., 2009) and with the following settings: -k 1 --best. The --phred33-quals or --phred64-quals parameter was set as needed depending on the format of the input fastq file. ChIP-seq datasets were further processed to call peaks with the MACS software (version 1.4.0 20110619) using the settings: -p 1e-10 -m 15,30 -s 36 -g mm --bw=200 (Zhang et al., 2008). All were processed against an appropriate control. RNA-seq datasets were also processed through Tophat (version 1.2.0) with settings: -a 10 -g 20 --no-novel-juncs -G refseqGeneAnnot.gtf (Trapnell et al., 2009). Tophat results were then pipelined to Cufflinks (version 0.9.3) with the settings: -M 20101217_rRNA_tRNA_mask.gtf -G refseqGeneAnnot.gtf (Trapnell et al., 2010). Absolute read counts for annotated genomic features were computed using the htseq-count script from the HTSeq (version 0.5.3p3) software suite with parameters: --stranded=no --mode=union. MACS peaks of multiple TFs were clustered over the genome using a simple R script as described in the accompanying manuscript. MACS peaks were converted to gene wide scores as decribed in main manuscript Differential expression analysis for RNA-seq was performed using Deseq with default parameters. Network inference for RNA-seq compendium was run with the Inferelator with default parameters. Genome_build: mm9 Supplementary_files_format_and_content: Each ChIP-Seq dataset includes a result file <lib>_<control>_genes.txt, where the <lib> is the ChIP library and <control> its corresponding control library. This is a MACS output file augmented with additional columns generated by the custom R script described in the data processing steps. Each RNA-Seq dataset includes a result file <lib>_genes.expr.txt, which is the output of cufflinks.
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Submission date |
Sep 17, 2012 |
Last update date |
May 15, 2019 |
Contact name |
Ashish Agarwal |
Organization name |
Solvuu
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Street address |
150 E 44th St #27E
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City |
New York |
State/province |
NY |
ZIP/Postal code |
10017 |
Country |
USA |
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Platform ID |
GPL13112 |
Series (1) |
GSE40918 |
A validated regulatory network for Th17 cell specification |
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Relations |
Reanalyzed by |
GSE80797 |
SRA |
SRX187476 |
BioSample |
SAMN01178357 |
Supplementary file |
Size |
Download |
File type/resource |
GSM1005071_SL13404_genes.expr.txt.gz |
512.1 Kb |
(ftp)(http) |
TXT |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
Processed data are available on Series record |
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