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| Status |
Public on Aug 03, 2022 |
| Title |
HT29 H3K27ac cells |
| Sample type |
SRA |
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| Source name |
cancer cell line
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| Organism |
Homo sapiens |
| Characteristics |
cells/tissue: cells
chip-seq antibody: H3K27ac abcam #177178
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| Growth protocol |
Cells were cultured in full RPMI-1640 media, incubator at 37 degrees celsius with 5% CO2.
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| Extracted molecule |
genomic DNA |
| Extraction protocol |
Xenograft tumors and patient surgical specimens were digested with 1X collagenase/hyaluronidase (Stem Cell Technologies), minced, and passed through a 100μM filter. Cells were double crosslinked with 0.25M disuccinimidyl glutarate followed by 1% formaldehyde. ChIP-seq was performed as previously described3. Briefly, 2X crosslinked chromatin was sonicated on a Diagenode Bioruptor for 15 cycles 30s ON/30s OFF on the low power setting. Cells were precleared using 100μL of Magna-ChIP Protein A+G magnetic bead slurry (Millipore) before overnight incubation with 10μg ChIP antibody conjugated to100μL beads. Beads were washed once with IP Wash Buffer I, twice with High Salt Wash Buffer, once with IP Wash Buffer II, and twice with TE buffer. For buffer recipes refer to Fontanals-Cirera, Hasson et al3. Beads were eluted with 1% SDS at 65 degrees Celsius with agitation and reverse crosslinked overnight with high salt with RNase treatment (Roche). The next day, DNA underwent Proteinase K treatment at 42 degrees Celsius before elution using QIAquick PCR purification kit (QIAGEN). DNA was run on an Agilent High Sensitivity DNA chip using an Agilent Technologies 2100 Bioanalyzer for quality control. H3K27ac ChIP-seq antibodies were purchased from abcam (#ab177178). Total RNA was extracted using the QIAGEN Rneasy Mini Kit. For ChIP-seq, antibody bound DNA was purified using the QIAGEN QIAquick PCR cleanup kit.
For ChIP-seq, DNA underwent end repair, poly-adenylation, and barcoding using enzymes from New England Biolabs. ChIP libraries were amplified 12-15 PCR cycles using the 2X KAPA HiFi DNA HotStart ReadyMix before quality assessment by running on a High Sensitivity chip using a Bioanalyzer 2100 (Agilent) followed by a Qubit fluorometer (Thermo Fisher). The Mount Sinai Oncological Sciences Sequencing Core Facility prepared poly-A-capture RNA-seq libraries using the TruSeq RNA Library Prep Kit v2 (Illumina) according to manufacturer’s instructions.
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| Library strategy |
ChIP-Seq |
| Library source |
genomic |
| Library selection |
ChIP |
| Instrument model |
NextSeq 550 |
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| Data processing |
FastQC - quality control of sequenced reads to assess duplication levels for ChIP-seq and detect adapter contamination during library prep.
cutadapt - removal of adapter contamination within raw sequenced reads
bowtie - Reads were mapped to the hg19 human genome using bowtie under the following parameters: bowtie -k 1 -m 1 --best -S -n 2 -l 60 -q --chunkmbs 200.
Samtools - Duplicate reads were removed using samtools.
MACS2 - Peak calling was performed using MACS2 with the following parameters: –f BAM –g 2.7e9 –s 75 --nomodel --extsize 200 –B –-SPMR –p 1e-10. For H3K27ac, a p-value cutoff of 10-10 was used for peak calling
deeptools - Bigwig tracks were generated using deepTools bamCoverage using the parameters: -of bigwig --effectiveGenomeSize 2736124973 --normalizeUsing RPKM
bedtools - Blacklisted regions (Duke_Hg19SignalRepeatArtifactRegions.bed, downloaded from the Broad Institute) were excluded from called peaks using bedtools
Salmon - Sequenced reads were mapped to the hg38 transcriptome using Salmon quasi-mapping under the default parameters and expression output in TPM was extracted.
Genome_build: ChIP-seq - hg19. RNA-seq hg38.
Supplementary_files_format_and_content: ChIP-seq processed data files are in the bigwig format ready for easy viewing on a genome broswer such as IGV or UCSC. RNA-seq processed data files are Salmon output excel files with raw and normalized read counts for each gene/transcript (ENSEMBL ID).
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| Submission date |
Feb 05, 2021 |
| Last update date |
Aug 03, 2022 |
| Contact name |
Royce Zhou |
| E-mail(s) |
[email protected]
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| Organization name |
Icahn School of Medicine at Mount Sinai
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| Street address |
1470 Madison Avenue
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| City |
New York |
| ZIP/Postal code |
10029 |
| Country |
USA |
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| Platform ID |
GPL21697 |
| Series (1) |
| GSE166254 |
Super-enhancer landscape profiling in primary colorectal carcinoma |
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| Relations |
| BioSample |
SAMN17812039 |
| SRA |
SRX10037283 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSM5066896_HT29_normalized.bw |
167.1 Mb |
(ftp)(http) |
BW |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
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