4.8 Article

Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data

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NUCLEIC ACIDS RESEARCH
卷 36, 期 16, 页码 5221-5231

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OXFORD UNIV PRESS
DOI: 10.1093/nar/gkn488

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  1. National Heart Lung and Blood Institute, National Institutes of Health

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ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with ultra high-throughput massively parallel sequencing, is increasingly being used for mapping proteinDNA interactions in-vivo on a genome scale. Typically, short sequence reads from ChIP-Seq are mapped to a reference genome for further analysis. Although genomic regions enriched with mapped reads could be inferred as approximate binding regions, short read lengths (similar to 25-50 nt) pose challenges for determining the exact binding sites within these regions. Here, we present SISSRs ((S) under bar ite Identification from (S) under bar hort (S) under bar equence (R) under bar Reads), a novel algorithm for precise identification of binding sites from short reads generated from ChIP-Seq experiments. The sensitivity and specificity of SISSRs are demonstrated by applying it on ChIP-Seq data for three widely studied and well-characterized human transcription factors: CTCF (CCCTC-binding factor), NRSF (neuron-restrictive silencer factor) and STAT1 (signal transducer and activator of transcription protein 1). We identified 26 814, 5813 and 73 956 binding sites for CTCF, NRSF and STAT1 proteins, respectively, which is 32, 299 and 78 more than that inferred previously for the respective proteins. Motif analysis revealed that an overwhelming majority of the identified binding sites contained the previously established consensus binding sequence for the respective proteins, thus attesting for SISSRs accuracy. SISSRs sensitivity and precision facilitated further analyses of ChIP-Seq data revealing interesting insights, which we believe will serve as guidance for designing ChIP-Seq experiments to map in vivo proteinDNA interactions. We also show that tag densities at the binding sites are a good indicator of proteinDNA binding affinity, which could be used to distinguish and characterize strong and weak binding sites. Using tag density as an indicator of DNA-binding affinity, we have identified core residues within the NRSF and CTCF binding sites that are critical for a stronger DNA binding.

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