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Sample GSM3716711 Query DataSets for GSM3716711
Status Public on May 03, 2019
Title HuKidney_WT_H3K4me1_rep1
Sample type SRA
 
Source name adult human kidney cortex
Organism Homo sapiens
Characteristics tissue: kidney cortex
Sex: female
antibody: H3K4me1 (Abcam, ab8895, lot# GR283603-1)
Extracted molecule genomic DNA
Extraction protocol Chromatin immunoprecipitation was performed as described previously (Meyer MB, JBC. 2017). Briefly, samples were subjected to immuno-precipitation using either a control IgG antibody or the indicated experimental antibody (VDR, pCREB, H3K4me1, or H3K27Ac). The isolated DNA (or Input DNA acquired prior to precipitation) was then validated by quantitative real time PCR (qPCR) and further prepared for ChIP-seq analysis.
ChIP-seq libraries were prepared using the NEBNext DNA sample prep kit (NEB, #E6000L) with the Bioo NEXTflex ChIP-seq Barcodes (Bioo Scientific, Austin, TX, #514122) according to manufacturer’s protocols, with few exceptions. During the NEBNext prep, the Illumina adapters were replaced with the Bioo Scientific Barcoded adapters according to Bioo protocols. ChIP-DNA ligated libraries were cleaned up with Agencourt AMPureXP Magnetic Beads (Beckman-Coulter, #A63881). A pre-size selection PCR was performed using Phusion polymerase, NEXTflex Primer Mix and purified ligation product for 4 cycles of PCR according to the Bioo Protocol. Libraries were size selected using Invitrogen E-gels to a size of 400-500bp. Samples were then PCR amplified for 14 cycles using Phusion polymerase, NEXTflex Primer mix and the size selected DNA as per Bioo protocol, followed by Agencourt bead clean up. Libraries were validated for integrity using the Agilent Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA). Clusters were formed and sequenced on the Illumina HiSeq2000 sequencers by the University of Wisconsin-Madison DNA Sequencing Facility in the University of Wisconsin-Madison Biotechnology Center. DNA clusters were generated using a cBot Single Read Cluster Generation kit (ver. 3) on an Illumina cBot (Illumina, Carlsbad, CA) according to the manufacturer's instructions, to obtain an average of 1.5×108 clusters for each lane on a flowcell. All sequencing runs for 100mers were performed on an Illumina HiSeq2000 using the Illumina Sequencing kit (ver. 3). Fluorescent images were analyzed using the CASAVA 1.8.2 (Illumina Carlsbad, CA) to obtain FASTQ formatted sequence data. Twelve barcoded libraries were run per lane and this was repeated over 4 lanes. After which, the raw FASTQ for each sample was concatenated from the 4 lanes prior to mapping to create a single sample. The ChIP samples were repeated in biological triplicate. Sequences were mapped to the human genome (hg19) using BOWTIE (--best –m 1) to yield unique alignments.
 
Library strategy ChIP-Seq
Library source genomic
Library selection ChIP
Instrument model Illumina HiSeq 2000
 
Description ChIP-DNA
Data processing ChIP-seq runs were all 100bp. Barcoded samples were run over 4 lanes total and the fastq data were concatenated prior to Bowtie2 mapping. 12 barcoded samples were run in each lane, over 4 lanes total. Barcodes were decoded by Illumina HiSeq2000 software automatically. All samples were mapped from fastq files using Bowtie2 to hg19 [UCSC human genome build 19]. Triplicate lanes were analyzed separately for reproducibility and normalization of the peak calls.
Peaks were called by using MACS2. Peak finding for MACS2 was standard narrowPeak for TFs and broadPeak [--broad] for histones. Reported as bed files for narrowPeak and broadPeak files.
Peaks were called by using HOMER [http://biowhat.ucsd.edu/homer/]. HOMER also output the bedGraph files of read density for UCSC genome display. HOMER settings for peak finding were all standard settings.
Genome_build: hg19
Supplementary_files_format_and_content: bedGraph files are suitable to display in the UCSC genome browser. *peaks.bed files were produced by HOMER. *narrowPeak files were produced by MACS2
 
Submission date Apr 10, 2019
Last update date May 05, 2019
Contact name Mark B Meyer
E-mail(s) markmeyer@wisc.edu
Phone 608-890-0857
Organization name University of Wisconsin-Madison
Department Nutritional Sciences
Lab Meyer Lab
Street address 1415 Linden Dr.
City Madison
State/province WI
ZIP/Postal code 53706
Country USA
 
Platform ID GPL11154
Series (1)
GSE129585 ChIP-seq analysis of adult human kidney cortex
Relations
BioSample SAMN11388429
SRA SRX5661985

Supplementary file Size Download File type/resource
GSM3716711_HuKidney_WT_H3K4me1_Veh_rep1.peaks.bed.gz 1.2 Mb (ftp)(http) BED
GSM3716711_HuKidney_WT_H3K4me1_Veh_rep1.tagdirnew.ucsc.bedGraph.gz 61.0 Mb (ftp)(http) BEDGRAPH
GSM3716711_HuKidney_WT_H3K4me1_Veh_rep1_MACS_norm_peaks.broadPeak.gz 4.6 Mb (ftp)(http) BROADPEAK
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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