Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data

ABSTRACT: Accurate functional annotation of regulatory elements is essential for understanding global gene regulation. Here, we report a genome-wide map of 827,000 transcription factor binding sites in human lymphoblastoid cell lines, which is comprised of sites correspond-ing to 239 position weight matrices of known transcription factor binding motifs, and 49 novel sequence motifs. To generate this map, we developed a probabilistic framework that integrates cell- or tissue-speciﬁc experimental data such as histone modiﬁcations and DNa-seI cleavage patterns with genomic information such as gene annotation and evolutionary conservation. Comparison to empirical ChIP-seq data suggests that our method is highly accurate yet has the advantage of targeting many factors in a single assay. We anticipate that this approach will be a valuable tool for genome-wide studies of gene regulation in a wide variety of cell-types or tissues under diverse conditions. DNaseI-Seq on two YRI Hapmap cell lines. Each individual sequenced on 8 lanes of the Illumina Genome Analyzer II

ORGANISM(S): Homo sapiens

SUBMITTER: Jacob Degner

PROVIDER: E-GEOD-25341 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data.

Pique-Regi Roger R Degner Jacob F JF Pai Athma A AA Gaffney Daniel J DJ Gilad Yoav Y Pritchard Jonathan K JK

Genome research 20101124 3

Accurate functional annotation of regulatory elements is essential for understanding global gene regulation. Here, we report a genome-wide map of 827,000 transcription factor binding sites in human lymphoblastoid cell lines, which is comprised of sites corresponding to 239 position weight matrices of known transcription factor binding motifs, and 49 novel sequence motifs. To generate this map, we developed a probabilistic framework that integrates cell- or tissue-specific experimental data such ...[more]

PMID: 21106904

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Project description:Gene regulation during the process of osteoblastogenesis has been well-described, yet the discovery of novel regulatory regions has been limited by how we currently predict the locations of functional cis-regulatory modules. Historically, the de novo identification of sequences critical for the control of gene expression relied primarily on sequence conservation in promoters. Queries for binding motifs were based on position weight matrices of known transcription factors and the identification of disease-causing, non-coding mutations near critical genes. However, we now must consider that regulatory elements also rely on 3-dimensional chromosomal interactions between far-distal regions, epigenetic chromosomal modifications, and RNA:DNA interactions. Traditionally, DNaseI-hypersensitivity assays have been used for the identification of regulatory regions via preferential digestion at chromatin depleted or displaced of nucleosomes, as a result of transcription factor occupancy. We probed DNase hypersensitivity on a genome-wide scale to determine whether osteogenic differentiation and/or bone-related gene regulation is marked by the presence of commonly utilized DNA motifs within active cis-regulatory modules. We thus sought to evaluate the gain or loss of motif representation within hypersensitive regions during osteoblastogenesis, from day-0 (growth-phase) to day-28 (mineralizing) MC3T3 cultures. We find that differentiation is marked by an increased enrichment of NFkB-p65, MEF2, and bHLH/E-box motifs within hypersensitive regions, while CTCF, NF1, TEAD, and AP1 motifs decrease. Furthermore, grouping hypersensitive regions based on genomic positioning (promoters, introns, exons, and far-distal regions) reveals significant differences in motif abundance in first introns versus other genomic positions. This finding suggests that the regulation conferred within first intron sequences may be somewhat distinct. Interestingly, the majority of motifs that were enriched, regardless of genomic position or differentiation time-point, were not completely matched to currently known transcription factor motifs (curated in the JASPAR database). Taken together, the changes in DNase-hypersensitive regions during osteoblastogenesis and the enrichment of distinct motifs within these regions indicate that osteoblasts utilize unique sets of motif rules for transcription factor binding or that regulatory control operates through undiscovered factors. Genome-wide DNase hypersensitivity mapping of osteoblast cultures was performed by adapting the DNase-seq protocol from Song et al. (Song and Crawford, 2010) with slight modifications. Growth-phase (day 0), matrix-deposition stage (day 9), or mineralization stage (day 28) MC3T3-E1 clone-4 cultures were subjected to DNase-seq library preparation. Libraries of purified DNA were generated using custom adapters described in Song et al. High-throughput sequencing was performed by Illumina Genome Analyzer II with 36 base reads and on an Illumina Hiseq-1000 with 100 base reads. Base calls and sequence reads were generated by Illumina CASAVA software (version 1.6, Illumina). Two independent biological repeats of DNase-seq libraries were prepared for each time point. Each biological repeat is represented by two technical repeats.

Dataset Information

Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data

Publications

Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data.

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