Dataset Information

Mapping genomic hotspots of DNA damage by a single-strand-DNA-compatible and strand-specific ChIP-seq method.

ABSTRACT: Spontaneous DNA damage may occur nonrandomly in the genome, especially when genome maintenance mechanisms are undermined. We developed single-strand DNA (ssDNA)-associated protein immunoprecipitation followed by sequencing (SPI-seq) to map genomic hotspots of DNA damage. We demonstrated this method with Rad52, a homologous recombination repair protein, which binds to ssDNA formed at DNA lesions. SPI-seq faithfully detected, in fission yeast, Rad52 enrichment at artificially induced double-strand breaks (DSBs) as well as endogenously programmed DSBs for mating-type switching. Applying Rad52 SPI-seq to fission yeast mutants defective in DNA helicase Pfh1 or histone H3K56 deacetylase Hst4, led to global views of DNA lesion hotspots emerging in these mutants. We also found serendipitously that histone dosage aberration can activate retrotransposon Tf2 and cause the accumulation of a Tf2 cDNA species bound by Rad52. SPI-seq should be widely applicable for mapping sites of DNA damage and uncovering the causes of genome instability.

SUBMITTER: Zhou ZX

PROVIDER: S-EPMC3613587 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Publications

Mapping genomic hotspots of DNA damage by a single-strand-DNA-compatible and strand-specific ChIP-seq method.

Zhou Zhi-Xiong ZX Zhang Mei-Jun MJ Peng Xu X Takayama Yuko Y Xu Xing-Ya XY Huang Ling-Zhi LZ Du Li-Lin LL

Genome research 20121217 4

Spontaneous DNA damage may occur nonrandomly in the genome, especially when genome maintenance mechanisms are undermined. We developed single-strand DNA (ssDNA)-associated protein immunoprecipitation followed by sequencing (SPI-seq) to map genomic hotspots of DNA damage. We demonstrated this method with Rad52, a homologous recombination repair protein, which binds to ssDNA formed at DNA lesions. SPI-seq faithfully detected, in fission yeast, Rad52 enrichment at artificially induced double-strand ...[more]

PMID: 23249883

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Project description:BackgroundStrand cross-correlation profiles are used for both peak calling pre-analysis and quality control (QC) in chromatin immunoprecipitation followed by sequencing (ChIP-seq) analysis. Despite its potential for robust and accurate assessments of signal-to-noise ratio (S/N) because of its peak calling independence, it remains unclear what aspects of quality such strand cross-correlation profiles actually measure.ResultsWe introduced a simple model to simulate the mapped read-density of ChIP-seq and then derived the theoretical maximum and minimum of cross-correlation coefficients between strands. The results suggest that the maximum coefficient of typical ChIP-seq samples is directly proportional to the number of total mapped reads and the square of the ratio of signal reads, and inversely proportional to the number of peaks and the length of read-enriched regions. Simulation analysis supported our results and evaluation using 790 ChIP-seq data obtained from the public database demonstrated high consistency between calculated cross-correlation coefficients and estimated coefficients based on the theoretical relations and peak calling results. In addition, we found that the mappability-bias-correction improved sensitivity, enabling differentiation of maximum coefficients from the noise level. Based on these insights, we proposed virtual S/N (VSN), a novel peak call-free metric for S/N assessment. We also developed PyMaSC, a tool to calculate strand cross-correlation and VSN efficiently. VSN achieved most consistent S/N estimation for various ChIP targets and sequencing read depths. Furthermore, we demonstrated that a combination of VSN and pre-existing peak calling results enable the estimation of the numbers of detectable peaks for posterior experiments and assess peak calling results.ConclusionsWe present the first theoretical insights into the strand cross-correlation, and the results reveal the potential and the limitations of strand cross-correlation analysis. Our quality assessment framework using VSN provides peak call-independent QC and will help in the evaluation of peak call analysis in ChIP-seq experiments.

Dataset Information

Mapping genomic hotspots of DNA damage by a single-strand-DNA-compatible and strand-specific ChIP-seq method.

Publications

Mapping genomic hotspots of DNA damage by a single-strand-DNA-compatible and strand-specific ChIP-seq method.

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