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Sample GSM2259984

Query DataSets for GSM2259984

Status

Public on Mar 09, 2018

Title

Adelman_Dmel_S2_H3K4me1_ChIP-seq_rep2

Sample type

SRA

Source name

Drosophila S2 cells

Organism

Drosophila melanogaster

Characteristics

cell line: S2
treatment: untreated
chip antibody: H3K4me1 (Millipore #07-436)

Growth protocol

Drosophila S2 cells from the DGRC were grown in M3 media supplemented with bactopeptone, yeast extract and 10% FBS.

Extracted molecule

genomic DNA

Extraction protocol

Pol II ChIP material was prepared as described previously (Muse et al., 2007).
Immunoprecipitated material was purified using the Qiaquick PCR purification kit

Library strategy

ChIP-Seq

Library source

genomic

Library selection

ChIP

Instrument model

Illumina NextSeq 500

Description

immunoprecipitated chromatin fragments
processed data file: Adelman_Dmel_S2_H3K4me1_ChIP-seq_rep1and2.bedgraph.gz

Data processing

Base calling and generation of FASTQ files performed using standard CASAVA pipeline for HiSeq runs, bcl2fastq2 for NextSeq
RNA-seq and 4sU read pairs containing one or more members with mean quality score <20 filtered; start-seq trimmed for adapter using cutadapt 1.9.1, pairs containing reads trimmed shorter than 20 nt filtered; iCLIP sequencing reads were collapsed for PCR duplicates, trimmed of 5' and 3' adaptors
RNA-seq and 4sU mapped to reference using tophat 2.0.4, in a strand-specific manner, with bowtie1 as the underlying aligner, also to index of ERCC spikes using bowtie 0.12.8; start-seq mapped to index composed of FlyBase annotated rRNA/tRNA and spike-in sequences, successfully aligned pairs filtered, remaining mapped to reference using bowtie 0.12.8 retaining uniquely mappable pairs only, allowing 2 mismatches; PolII ChIP-seq mapped against both mm9 and dm3 reference genomes, retaining uniquely aligned reads only, allowing two mismatches using bowtie 0.12.8; MNase-seq and other ChIP-seq mapped using bowtie 0.12.8 retaining uniquely mapped pairs only, allowing 2 mismatches; iCLIP-seq mapped to the mouse (mm9) genome using STAR
RNA-seq and 4sU strand-specific coverage tracks were generated using genomeCoverageBed, normalized with custom scripts using factors determined by DESeq 1.12.2 based on ERCC spike counts and combined with unionBedGraphs and custom scripts (total count per nt for RNA-seq, mean count for 4sU); start-seq strand-specific bedGraphs generated using custom scripts based on 5' mapping location of end 1 reads only, normalized by linear regression slope of spike-in counts per sample versus mean of control samples, total normalized counts per condition determined using custom scripts; MNase-seq alignments were concatenated and fragments of length <120 and >180 filtered and converted to BED format using custom script, coverage track generated using genomeCoverageBed; ChIP-seq bedGraphs were generated by removing duplicate fragments, filtering very short or long fragments (NELF-B: <60, >410; PolII and Spt5: <60, >380; H3K4me1: <70, >500; H3K4me3: <70, >525; H3K27ac: <50, >450), and determining counts of fragment centers in 25 nt bins tiling the genome, using custom scripts, PolII samples were normalized such that the counts aligning to mm9 were equal, and replicates combined using custom scripts; iCLIP-seq RT stop identificaiton, gene assignment, and peak calling was performed as in FAST-iCLIP (PMID: 25411354)
Genome_build: dm3 (ChIP-seq, RNA-seq, 4sU, start-seq), mm9 (MNase,iClip)
Supplementary_files_format_and_content: RNA-seq and 4sU: bigWig containing combined normalized coverage of all replicates; start-seq: bedGraph containing combined normalized count of end 1 5' mapping locations for all replicates; MNase-seq: bedGraph containing combined coverage of 120-180 nt fragments for all replicates; ChIP-seq: bedGraph containing combined count of fragment centers for all replicates, in 25 nt bins

Submission date

Aug 04, 2016

Last update date

May 15, 2019

Contact name

Karen Adelman

E-mail(s)

[email protected]

Organization name

Harvard Medical School

Department

Biological Chemistry and Molecular Pharmacology