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GEO help: Mouse over screen elements for information. |
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Status |
Public on Jul 01, 2017 |
Title |
ChIPseq_H3K27ac_2066_M_KO_neuronal |
Sample type |
SRA |
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Source name |
adult mouse cortex
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Organism |
Mus musculus |
Characteristics |
antibody: H3K27ac age: adult gender: M genotype: CK-KO cell type: neuronal
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Extracted molecule |
genomic DNA |
Extraction protocol |
Nuclei were extracted from mouse brain tissue with or without formaline fixation. Neuronal nuclei were collected by FACS. Cromatin was fragmented by Mnase digestion (histone ChIP) or sonication (CTCF ChIP), and immunoprecipitated by different antibodies. ChIP DNA was end repaired (End-it DNA Repair kit; Epicentre) and A tailed (Klenow Exo-minus; Epicentre). Adaptors (Illumina) were ligated to the ChIP-DNA (Fast-Link kit; Epicentre) and then PCR amplified using Illumina TruSeq ChIP Library Prep Kit. Library DNA with expected size (NChIP, ~275bp; XChIP, 350bp to 500bp) was selected by Pippin.
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Library strategy |
ChIP-Seq |
Library source |
genomic |
Library selection |
ChIP |
Instrument model |
Illumina HiSeq 2000 |
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Description |
ChIPseq_H3K27ac_neuronal_KOvsWT_1kb_001_annotated.txt
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Data processing |
RNA-seq: The sequenced RNAseq data were aligned to the Mouse (mm10) reference genome using Tophat2 short-read aligner. Reads were counted using HTSeq against the Gencode vM4 Mouse annotation. Genes were filtered based on the criteria that all replicates in either condition must have at least 5 reads per gene. On the resulting filtered transcript, a pairwise differential analysis between Setdb1 conditional mutant vs control cortex was performed using the voom-limma R package, which converts counts into precision weighted log2 counts per million and determines differentially expressed genes using a linear model. Significantly differentially expressed genes were identified using a cutoff of Benjamini-Hochberg adjusted p-value less than 0.05. ChIP-seq: The sequenced ChIP-seq data was first checked for quality using the various metrics generated by FastQC (v0.11.2). Raw sequencing reads were then aligned to the Mouse (mm10) reference genome using default settings of Bowtie (v2.2.0). Uniquely mapped reads were retained and the alignments were subsequently filtered using the SAMtools package (v0.1.19) to remove duplicate reads. Differential analysis between mutant and control samples was performed using diffReps with window size 1000 bp and moving step size 500 bp, and FDR<5% as significance cutoff. insituHiC: The processing of the raw 2x125bp read pair in-situ HiC FASTQ files was performed using the HiC-Pro analysis pipeline. In brief, HiC-Pro performs four major tasks: aligning short reads, filtering for valid pairs, binning, and normalizing contact matrices. HiC-Pro implements the truncation-based alignment strategy using Bowtie v2.2.318, mapping full reads end-to-end or the 5’ portion of reads preceding a GATCGATC ligation site that results from restriction enzyme digestion with MboI followed by end ligation. Invalid interactions such as same-strand, dangling-end, self-cycle, and single-end pairs are not retained. Binning was performed in 20kb non-overlapping, adjacent windows across the genome and resulting interaction matrices were obtained. Genome_build: mm10 Supplementary_files_format_and_content: text files of differential expression genes (RNAseq), differential binding regions (ChIPseq) and interaction counts (insituHiC) Supplementary_files_format_and_content: ChIPseq_CTCF_neuron_KO_vs_WT_1kb_001b.annotated.txt: text file of differential binding regions Supplementary_files_format_and_content: ChIPseq_H3K27ac_neuron_KO_vs_WT_1kb_001a.annotated.txt: text file of differential binding regions Supplementary_files_format_and_content: ChIPseq_H3K9me3_neuron_KO_vs_WT_1kb_001a.annotated.txt: text file of differential binding regions Supplementary_files_format_and_content: RNAseq_Setdb1-CK-KO_KO_vs_WT_gencode_vM4.txt: text file of differential expression genes Supplementary_files_format_and_content: insituHiC_432_M_WT_neuronal_20000.HiCPro.interaction.txt: text file of interaction raw counts Supplementary_files_format_and_content: insituHiC_513_M_CK-KO_neuronal_20000.HiCPro.interaction.txt: text file of interaction raw counts Supplementary_files_format_and_content: insituHiC_9836_M_WT_neuronal_20000.HiCPro.interaction.txt: text file of interaction raw counts Supplementary_files_format_and_content: insituHiC_9837_M_CK-KO_neuronal_20000.HiCPro.interaction.txt: text file of interaction raw counts Supplementary_files_format_and_content: insituHiC_20000.HiCPro.bed: bed file of interaction bins
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Submission date |
May 26, 2017 |
Last update date |
May 15, 2019 |
Contact name |
Eddie Loh |
Organization name |
Icahn School of Medicine at Mount Sinai
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Department |
Department of Neuroscience
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Street address |
1425 Madison Avenue
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City |
New York |
ZIP/Postal code |
10029 |
Country |
USA |
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Platform ID |
GPL13112 |
Series (1) |
GSE99363 |
Genome-wide maps of gene transcription and chromatin state in mouse Setdb1 wildtype and CK-cre conditional knockout brain. |
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Relations |
BioSample |
SAMN07172526 |
SRA |
SRX2863188 |
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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