154
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      An expansive human regulatory lexicon encoded in transcription factor footprints

      research-article
      1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 2 , 1 , 1 , 1 , 1 , 1 , 3 , 3 , 3 , 1 , 1 , 3 , 3 , 1 , 2 , 1 , 4 , #
      Nature
      chromatin, protein occupancy, DNaseI footprinting, ENCODE, regulation

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Regulatory factor binding to genomic DNA protects the underlying sequence from cleavage by DNaseI, leaving nucleotide-resolution footprints. Using genomic DNaseI footprinting across 41 diverse cell and tissue types, we detected 45 million factor occupancy events within regulatory regions, representing differential binding to 8.4 million distinct short sequence elements. Here we show that this small genomic sequence compartment, roughly twice the size of the exome, encodes an expansive repertoire of conserved recognition sequences for DNA-binding proteins that nearly doubles the size of the human cis-regulatory lexicon. We find that genetic variants affecting allelic chromatin states are concentrated in footprints, and that these elements are preferentially sheltered from DNA methylation. High-resolution DNaseI cleavage patterns mirror nucleotide-level evolutionary conservation and track the crystallographic topography of protein-DNA interfaces, indicating that transcription factor structure has been evolutionarily imprinted on the human genome sequence. We identify a stereotyped 50 base-pair footprint that precisely defines the site of transcript origination within thousands of human promoters. Finally, we describe a large collection of novel regulatory factor recognition motifs that are highly conserved in both sequence and function, and exhibit cell-selective occupancy patterns that closely parallel major regulators of development, differentiation, and pluripotency.

          Related collections

          Most cited references37

          • Record: found
          • Abstract: found
          • Article: not found

          Systematic discovery of regulatory motifs in human promoters and 3' UTRs by comparison of several mammals.

          Comprehensive identification of all functional elements encoded in the human genome is a fundamental need in biomedical research. Here, we present a comparative analysis of the human, mouse, rat and dog genomes to create a systematic catalogue of common regulatory motifs in promoters and 3' untranslated regions (3' UTRs). The promoter analysis yields 174 candidate motifs, including most previously known transcription-factor binding sites and 105 new motifs. The 3'-UTR analysis yields 106 motifs likely to be involved in post-transcriptional regulation. Nearly one-half are associated with microRNAs (miRNAs), leading to the discovery of many new miRNA genes and their likely target genes. Our results suggest that previous estimates of the number of human miRNA genes were low, and that miRNAs regulate at least 20% of human genes. The overall results provide a systematic view of gene regulation in the human, which will be refined as additional mammalian genomes become available.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            High-resolution mapping and characterization of open chromatin across the genome.

            Mapping DNase I hypersensitive (HS) sites is an accurate method of identifying the location of genetic regulatory elements, including promoters, enhancers, silencers, insulators, and locus control regions. We employed high-throughput sequencing and whole-genome tiled array strategies to identify DNase I HS sites within human primary CD4+ T cells. Combining these two technologies, we have created a comprehensive and accurate genome-wide open chromatin map. Surprisingly, only 16%-21% of the identified 94,925 DNase I HS sites are found in promoters or first exons of known genes, but nearly half of the most open sites are in these regions. In conjunction with expression, motif, and chromatin immunoprecipitation data, we find evidence of cell-type-specific characteristics, including the ability to identify transcription start sites and locations of different chromatin marks utilized in these cells. In addition, and unexpectedly, our analyses have uncovered detailed features of nucleosome structure.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update

              JASPAR is a popular open-access database for matrix models describing DNA-binding preferences for transcription factors and other DNA patterns. With its third major release, JASPAR has been expanded and equipped with additional functions aimed at both casual and power users. The heart of the JASPAR database—the JASPAR CORE sub-database—has increased by 12% in size, and three new specialized sub-databases have been added. New functions include clustering of matrix models by similarity, generation of random matrices by sampling from selected sets of existing models and a language-independent Web Service applications programming interface for matrix retrieval. JASPAR is available at http://jaspar.genereg.net.
                Bookmark

                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                25 July 2013
                6 September 2012
                07 August 2013
                : 489
                : 7414
                : 83-90
                Affiliations
                [1 ]Department of Genome Sciences, University of Washington, Seattle, WA 98195
                [2 ]Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA 98195
                [3 ]Basic Sciences Division, Fred Hutchison Cancer Research Center, Seattle, WA 98109
                [4 ]Division of Oncology, Deparment of Medicine, University of Washington, Seattle, WA 98195
                Author notes
                [# ]Correspondence: jstam@ 123456uw.edu
                [*]

                Equal contributors

                Article
                NIHMS376811
                10.1038/nature11212
                3736582
                22955618
                cb1ac2ec-8056-4325-9bdc-3e735b481382

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Human Genome Research Institute : NHGRI
                Award ID: U54 HG004592 || HG
                Categories
                Article

                Uncategorized
                chromatin,protein occupancy,dnasei footprinting,encode,regulation
                Uncategorized
                chromatin, protein occupancy, dnasei footprinting, encode, regulation

                Comments

                Comment on this article