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Status |
Public on Oct 22, 2019 |
Title |
Replicate 2 RR-ChIP seq D210N |
Sample type |
SRA |
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Source name |
HeLa cells
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Organism |
Homo sapiens |
Characteristics |
cell type: cervical cancer cells genotype/variation: D210N
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Treatment protocol |
Lipofectamine 2000 was used to deliver RNAseH1 over-expressing plasmid (pRNH1-GFP), RNaseH1 catalytically dead mutant (pRNH1-D210N-GFP) Rnase H1 non binding ctalytically dead mutant (pRNH1-WKKD-GFP) and pGFP. For RDIP-seq experiments recombinant RNase H was added the sonicated HeLa cells before S9.6 immunoprecipitation. All HeLa cells used in Chromatin associated RNA-seq and ChrCAP-seq were GFP FACs sorted. For ChrCAP-seq, chromatin RNA were treated with Terminator exonuclease followed by calf intestine phosphatase before CAP-CLIP (5' pyrophosphatase) treatment.
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Growth protocol |
HeLa cells were maintained in DMEM supplemented with 10%FBS
|
Extracted molecule |
total RNA |
Extraction protocol |
Lysates were clarified from sonicated nuclei and 1) RNA:DNA hybrids were isolated with S9.6 antibody for RDIP-seq 2) RNA:DNA hybrids were isolated with GFP antibody for RR-ChIP-seq For the RDIP-seq and RR-ChIP-seq, the RNA component of the R-loop was used to prepare the library using NEBNext Ultra II Directional RNA Library Prep Kit for Illumina, (E7760S) according to manufacturer's guidelines. For the ChrRNA-seq and ChrCAP-seq, chromatin associated RNA was used for library prepration as for RDIP-seq.
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Library strategy |
OTHER |
Library source |
transcriptomic |
Library selection |
other |
Instrument model |
Illumina NextSeq 500 |
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Description |
processed data file: GSE87607_RR-ChIP_D210N.peaks.txt
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Data processing |
Library strategy: RR-ChIP-seq For chrRNA-seq, adaptors were trimmed using Cutadapt. Paired-end reads for each sample were mapped to human genome reference assembly GRh37/hg19 (build 37.2, February 2009) with Tophat v. 2.0.13 with parameters -g 1 -r 3000 --no-coverage-search. RR-ChIP-seq reads were demultiplexed and aligned to reference genome hg19/GRCh37 using Bowtie2 alignment software.Plus and minus strand were assigned to mapped reads using SAMtools. RR-ChIP-seq peaks were called using MACS2 algorithm with default options Genome_build: hg19 Supplementary_files_format_and_content: BigWig file containing read densities from RNA-seq experiments; Raw alignment file
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Submission date |
Mar 20, 2019 |
Last update date |
Aug 27, 2020 |
Contact name |
Nicholas Proudfoot |
E-mail(s) |
nicholas.proudfoot@path.ox.ac.uk
|
Organization name |
Sir William Dunn School of Pathology, University of Oxford
|
Street address |
South Parks Road
|
City |
Oxford |
ZIP/Postal code |
OX1 3RE |
Country |
United Kingdom |
|
|
Platform ID |
GPL18573 |
Series (1) |
GSE87607 |
R-loops promote antisense transcription across the mammalian genome |
|
Relations |
BioSample |
SAMN11178213 |
SRA |
SRX5547606 |