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Sample GSM2090426 Query DataSets for GSM2090426
Status Public on Sep 18, 2017
Title NET-seq DMSO Rep2
Sample type SRA
 
Source name DMSO
Organism Homo sapiens
Characteristics cell line: MOLT4
library type: 3'end RNA fragment sequencing
treatment: DMSO
molecule subtype: nascent RNA
Growth protocol cells were cultured in RPMI-10%FCS
Extracted molecule total RNA
Extraction protocol Trizol extraction of total RNA was performed according to the manufacturer's instructions. External spike-in RNAs (ERCC ExFold RNA Spike-In kit, Ambion, 4456739) were added based on cell number. See manuscript for details.
For NET-seq, the library preparation is performed as described by Churchman and Weissman (2011, 2012) with modifications. For 30 RNA ligation, a pre-adenylated DNA linker with a mixed random hexameric barcode sequence at its 50 end is used. cDNA containing the 30 end sequences of a subset of mature and heavily sequenced snRNAs, snoRNAs, rRNAs, and mitochondrial tRNAs are specifically depleted using biotinylated DNA oligos, as described by Ingolia et al.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NextSeq 500
 
Data processing Reads are trimmed and aligned using STAR (v2.4.0) (Dobin et al., 2013)
For NET-seq data, only the position matching the 50 end of the sequencing read (after removal of the barcode), corresponding to the 30 end of the nascent RNA fragment, is recorded with a Python script using HTSeq package (Anders et al., 2015). Reverse transcription mispriming events are identified and removed when molecular barcode sequences match exactly to the genomic sequence adjacent to the aligned read. Reads that align to the same genomic position and contain identical barcodes are considered PCR duplication events and are removed. Splicing intermediates have 30 hydroxyls and will enter NET-seq libraries and contribute to the reads aligning to the exact single-nucleotide 30 ends of introns and 30 ends of exons.
Genome_build: hg19
Supplementary_files_format_and_content: Supplementary_files_format_and_content: BedGraph files (http://genome.ucsc.edu/goldenPath/help/bedgraph.html); Column1=chromosome; Column2=start (left most coordinate; 0 based; position included); Column3=end (right most coordinate; 0 based; position not included); Column4=Coverage (3'end nt for NET-seq and whole read for RNA-seq)
 
Submission date Mar 16, 2016
Last update date May 15, 2019
Contact name James Bradner
E-mail(s) bradner_computation@dfci.harvard.edu
Organization name Dana-Farber Cancer Institute
Department Medical Oncology
Lab Bradner Lab
Street address 450 Brookline
City Boston
State/province MA
ZIP/Postal code 02215
Country USA
 
Platform ID GPL18573
Series (2)
GSE79271 BET bromodomain proteins function as master transcription elongation factors independent of CDK9 recruitment [NET-seq]
GSE79290 BET bromodomain proteins function as master transcription elongation factors independent of CDK9 recruitment
Relations
BioSample SAMN04558359
SRA SRX1637483

Supplementary file Size Download File type/resource
GSM2090426_DMSO_rep2_netseq_neg.bedGraph.gz 33.1 Mb (ftp)(http) BEDGRAPH
GSM2090426_DMSO_rep2_netseq_pos.bedGraph.gz 33.7 Mb (ftp)(http) BEDGRAPH
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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