H3K27ac chromatin immunoprecipitation and sequencing (ChIP-seq)

JP J. Pei
MS M. Schuldt
EN E. Nagyova
ZG Z. Gu
SB S. el Bouhaddani
LY L. Yiangou
MJ M. Jansen
JC J. J. A. Calis
LD L. M. Dorsch
CB C. Snijders Blok
ND N. A. M. van den Dungen
NL N. Lansu
BB B. J. Boukens
IE I. R. Efimov
MM M. Michels
MV M. C. Verhaar
RW R. de Weger
AV A. Vink
FS F. G. van Steenbeek
AB A. F. Baas
RD R. P. Davis
HU H. W. Uh
DK D. W. D. Kuster
CC C. Cheng
MM M. Mokry
JV J. van der Velden
FA F. W. Asselbergs
MH M. Harakalova
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We performed chromatin immunoprecipitation and sequencing (ChIP-seq) using the H3K27ac mark to study the differences of the histone acetylome between patient and control samples as previously described [10]. To study the differences of the histone acetylome between patient and control samples, we performed chromatin immunoprecipitation and sequencing (ChIP-seq) using the H3K27ac mark. Briefly, all cardiac samples were sectioned at a thickness of 10 µm, and chromatin was isolated using the MAGnify™ Chromatin Immunoprecipitation System kit (Life Technologies) according to the manufacturer’s instructions. The anti-histone H3K27ac antibody (ab4729, Abcam) was used for immunoprecipitation. Captured DNA was purified using the ChIP DNA Clean & Concentrator kit (Zymo Research). Libraries were prepared using the NEXTflex™ Rapid DNA Sequencing Kit (Bioo Scientific). Samples were PCR amplified, checked for the proper size range and absence of adaptor dimers on a 2% agarose gel, and barcoded libraries were sequenced 75-bp single end on an Illumina NextSeq500 sequencer. Sequencing reads were mapped against the reference genome (hg19 assembly, NCBI37) using the BWA package (mem –t 7 –c 100 –M –R)1. Multiple reads mapping to the same location and strand were collapsed to a single read, and only uniquely placed reads were used for peak calling. Peaks/regions were called using Cisgenome 2.02 (–e 150 -maxgap 200 –minlen 200). Region coordinates from all samples were stretched to at least 2000 base pairs and collapsed into a single common list. Overlapping regions were merged based on their coordinates. Only regions supported by at least 2 independent datasets were further analyzed. Autosomal sequencing reads from each ChIP-seq library were overlapped back with the common region list to set the H3K27ac occupancy for every region-sample pair. Differentially acetylated regions between HCM and control hearts were identified using DESeq2 under the default setting in the Galaxy environment [44].

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