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Sample GSM3384416 Query DataSets for GSM3384416
Status Public on Sep 12, 2018
Title iOL_Seh1_ChIP-Seq
Sample type SRA
 
Source name oligodendrocyte
Organism Rattus norvegicus
Characteristics strain: Sprague Dawley
tissue: forebrain
antibody: Seh1
age: post natal day 1-2
Growth protocol OPCs were trypsinized and plated onto poly-D-lysine-coated plates. Cells were grown in DMEM/F-12 (GIBCO) with addition of 2% B-27 (GIBCO), 1% N2 (GIBCO), 20 ng/ml PDGF-AA (Peprotech, 100-13A), 10 ng/ml CNTF (Peprotech, 450-02), 20 ng/ml bFGF (Sino Biological, 10014-HNAE), and 1 ng/ml NT3 (Peprotech, 450-03). For OPCs differentiation, triiodothyronine (T3) (60 nM) added to the media and PDGF-AA, bFGF and NT3 were removed.
Extracted molecule genomic DNA
Extraction protocol Briefly, for ChIP-Seq, approximately 5 x10^6 cells were cross-linked with 1% formaldehyde for 10 min at room temperature and then were quenched with 125 mM glycine for 5min. Sonicated chromatin was used for immunoprecipitation by incubation with appropriate antibodies (4 g) overnight at 4°C. Immunoprecipitated complexes were collected using protein 40l A/G plus agarose beads (Millipore). SubSequently, beads were washed Sequentially with low-salt buffer, high-salt buffer, LiCl buffer and twice with TE and elution in 500 l of elution buffer (1% SDS, 0.1M NaHCO3). The elutes were heated at 42°C for 2h and treatment with proteinaseK followed by 65°C 10 h to reverse the cross-linking and were treated with RNaseA for 30 min before DNA was extracted and purified.
The ChIP libraries were prepared using KAPA HyperPrep Kits (Roche, 7962347001)
 
Library strategy ChIP-Seq
Library source genomic
Library selection ChIP
Instrument model HiSeq X Ten
 
Data processing The image analysis and base calling were performed by using Illumina’s Genome Analysis pipeline.
The sequencing reads were aligned to the human genome UCSC build hg18 by using Bowtie2 alignment programs in two ways: only uniquely aligned reads were kept or both uniquely aligned reads and the sequencing reads that align to repetitive regions were kept for downstream analysis (if a read aligns to multiple genome locations, only one location is arbitrarily chosen).
The multiple reads were collapsed in order to reduce the PCR biases. The aligned reads were used for peak finding with HOMER
Peaks were identified by searching locations of high read density using a 200-bp sliding window. Regions of maximal density exceeding a given threshold were called as peaks, and we required adjacent peaks to be at least 500 bp away to avoid redundant detection
Peaks from separate experiments were considered equivalent/co-bound if their peak centers were located within 200 bp of each other. Read density heat maps were created by first using HOMER to generate read densities and then visualized using Java TreeView
Genome_build: Rat rn6
 
Submission date Sep 11, 2018
Last update date Sep 12, 2018
Contact name Liu Zhixiong
E-mail(s) 2452503371@qq.com
Phone 8615160067720
Organization name Xiamen University
Department School of Life Sciences
Lab State Key Laboratory for Cellular Stress Biology, Innovation Center for Cell Signaling Network
Street address Xiangan Nanlu 4221-120
City xiamen
State/province Fujian
ZIP/Postal code 361102
Country China
 
Platform ID GPL24688
Series (2)
GSE119814 Seh1 Interacts with Olig2 and Brd7 to Promote Oligodendrocyte Differentiation and Myelination (ChIP-Seq)
GSE119816 Seh1 Interacts with Olig2 and Brd7 to Promote Oligodendrocyte Differentiation and Myelination
Relations
BioSample SAMN10034165
SRA SRX4670972

Supplementary file Size Download File type/resource
GSM3384416_iOL_Seh1_ChIP-Seq_peaks.txt.gz 611.5 Kb (ftp)(http) TXT
GSM3384416_iOL_Seh1_ChIP-seq_peaks.bed.gz 60.4 Kb (ftp)(http) BED
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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