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Status |
Public on Feb 04, 2015 |
Title |
RNAPII ChIP-seq Vehicle Rep2 |
Sample type |
SRA |
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Source name |
adipocyte_RNAPII ChIP-seq Vehicle
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Organism |
Homo sapiens |
Characteristics |
cell type: SGBS adipocyte D10 treated with: vehicle for 90min chip antibody: RNAPII chip antibody vendor: Diagenode chip antibody cat. #: C15200004
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Treatment protocol |
Mature SGBS adipocyte D10 were treated with 10ng/ml TNFα or vehicle for 90 min before harvest of total RNA or chromatin.
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Growth protocol |
SGBS cells were grown to confluence in Dulbecco’s Modified Eagle’s Medium/Nutrient Mixture F-12 Ham’s supplemented with 10% fetal bovine serum, 33 µM biotin, 17 µM pantothenate, 100 µg/ml streptomycin, 62.5 µg/ml penicillin, 1ng/µl fibroblast growth factors (FGF) 1, and 90 µg/µl heparin. At two days postconfluency, SGBS cells were stimulated to differentiate with serum-free growth medium supplemented with 10 nM insulin, 200 pM triiodothyronine, 1 µM cortisol, 2 µM BRL 49653, 0.115 mg/ml MIX, 0.25 mmol/L DEX, and 0.01 mg/ml human transferrin. After 3 days, the medium was replaced with the differentiation medium without FGF1 and heparin, and after 6 days Rosiglitazone/BRL49653, MIX, and DEX was removed from the medium.
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Extracted molecule |
genomic DNA |
Extraction protocol |
ChIP experiments were performed according to standard protocol as described in (Siersbæk et al. 2012, MCB, 32: 3452-3463) ChIP-seq libraries were constructed according to the manufacturer's instructions (Illumina) as described in (Nielsen R, Mandrup S, 2014, Methods in Enzymology 2014, Vol. 537, pp. 261-279).
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Library strategy |
ChIP-Seq |
Library source |
genomic |
Library selection |
ChIP |
Instrument model |
Illumina HiSeq 1500 |
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Description |
processed data file: RNAPII_Gene_counts.txt
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Data processing |
alignment: ChIP-seq reads were mapped to hg19 with STAR (Dobin, A., et al., Bioinformatics, 2013. 29(1): p. 15-21) specifying --alignIntronMax 1 to avoid potentially aligning across exon-exon junctions. quantification: RNAPII ChIP-seq coverage within gene bodies were quantified using the iRNA-seq pipeline (Madsen et al, Submitted). The first 500 bp of the gene were omitted to avoid quantifying stalled RNAPII Genome_build: hg19
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Submission date |
Aug 17, 2014 |
Last update date |
May 15, 2019 |
Contact name |
Susanne Mandrup |
E-mail(s) |
s.mandrup@bmb.sdu.dk
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Phone |
+45 6550 2340
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Organization name |
University of Southern Denmark
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Department |
Biochemistry and Molecular Biology
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Street address |
Campusvej 55
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City |
Odense M |
ZIP/Postal code |
5230 |
Country |
Denmark |
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Platform ID |
GPL18460 |
Series (1) |
GSE60462 |
iRNA-seq: Computational method for genome wide assessment of acute transcriptional regulation from total RNA-seq data |
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Relations |
BioSample |
SAMN02996447 |
SRA |
SRX682084 |
Supplementary data files not provided |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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