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Dive into the research topics where Gregory E. Crawford is active.

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Featured researches published by Gregory E. Crawford.


Nature Genetics | 2007

Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome

Nathaniel D. Heintzman; Rhona K Stuart; Gary C. Hon; Yutao Fu; Christina W. Ching; R. David Hawkins; Leah O. Barrera; Sara Van Calcar; Chunxu Qu; Keith A. Ching; Wei Wang; Zhiping Weng; Roland D. Green; Gregory E. Crawford; Bing Ren

Eukaryotic gene transcription is accompanied by acetylation and methylation of nucleosomes near promoters, but the locations and roles of histone modifications elsewhere in the genome remain unclear. We determined the chromatin modification states in high resolution along 30 Mb of the human genome and found that active promoters are marked by trimethylation of Lys4 of histone H3 (H3K4), whereas enhancers are marked by monomethylation, but not trimethylation, of H3K4. We developed computational algorithms using these distinct chromatin signatures to identify new regulatory elements, predicting over 200 promoters and 400 enhancers within the 30-Mb region. This approach accurately predicted the location and function of independently identified regulatory elements with high sensitivity and specificity and uncovered a novel functional enhancer for the carnitine transporter SLC22A5 (OCTN2). Our results give insight into the connections between chromatin modifications and transcriptional regulatory activity and provide a new tool for the functional annotation of the human genome.


Nature | 2009

Histone modifications at human enhancers reflect global cell-type-specific gene expression

Nathaniel D. Heintzman; Gary C. Hon; R. David Hawkins; Pouya Kheradpour; Alexander Stark; Lindsey F. Harp; Zhen Ye; Leonard K. Lee; Rhona K Stuart; Christina W. Ching; Keith A. Ching; Jessica Antosiewicz-Bourget; Hui Liu; Xinmin Zhang; Roland D. Green; Victor Lobanenkov; Ron Stewart; James A. Thomson; Gregory E. Crawford; Manolis Kellis; Bing Ren

The human body is composed of diverse cell types with distinct functions. Although it is known that lineage specification depends on cell-specific gene expression, which in turn is driven by promoters, enhancers, insulators and other cis-regulatory DNA sequences for each gene, the relative roles of these regulatory elements in this process are not clear. We have previously developed a chromatin-immunoprecipitation-based microarray method (ChIP-chip) to locate promoters, enhancers and insulators in the human genome. Here we use the same approach to identify these elements in multiple cell types and investigate their roles in cell-type-specific gene expression. We observed that the chromatin state at promoters and CTCF-binding at insulators is largely invariant across diverse cell types. In contrast, enhancers are marked with highly cell-type-specific histone modification patterns, strongly correlate to cell-type-specific gene expression programs on a global scale, and are functionally active in a cell-type-specific manner. Our results define over 55,000 potential transcriptional enhancers in the human genome, significantly expanding the current catalogue of human enhancers and highlighting the role of these elements in cell-type-specific gene expression.


Nature | 2012

The accessible chromatin landscape of the human genome.

Robert E. Thurman; Eric Rynes; Richard Humbert; Jeff Vierstra; Matthew T. Maurano; Eric Haugen; Nathan C. Sheffield; Andrew B. Stergachis; Hao Wang; Benjamin Vernot; Kavita Garg; Sam John; Richard Sandstrom; Daniel Bates; Lisa Boatman; Theresa K. Canfield; Morgan Diegel; Douglas Dunn; Abigail K. Ebersol; Tristan Frum; Erika Giste; Audra K. Johnson; Ericka M. Johnson; Tanya Kutyavin; Bryan R. Lajoie; Bum Kyu Lee; Kristen Lee; Darin London; Dimitra Lotakis; Shane Neph

DNase I hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned the discovery of all classes of cis-regulatory elements including enhancers, promoters, insulators, silencers and locus control regions. Here we present the first extensive map of human DHSs identified through genome-wide profiling in 125 diverse cell and tissue types. We identify ∼2.9 million DHSs that encompass virtually all known experimentally validated cis-regulatory sequences and expose a vast trove of novel elements, most with highly cell-selective regulation. Annotating these elements using ENCODE data reveals novel relationships between chromatin accessibility, transcription, DNA methylation and regulatory factor occupancy patterns. We connect ∼580,000 distal DHSs with their target promoters, revealing systematic pairing of different classes of distal DHSs and specific promoter types. Patterning of chromatin accessibility at many regulatory regions is organized with dozens to hundreds of co-activated elements, and the transcellular DNase I sensitivity pattern at a given region can predict cell-type-specific functional behaviours. The DHS landscape shows signatures of recent functional evolutionary constraint. However, the DHS compartment in pluripotent and immortalized cells exhibits higher mutation rates than that in highly differentiated cells, exposing an unexpected link between chromatin accessibility, proliferative potential and patterns of human variation.


Cell | 2008

High-Resolution Mapping and Characterization of Open Chromatin across the Genome

Alan P. Boyle; Sean Davis; Hennady P. Shulha; Paul S. Meltzer; Elliott H. Margulies; Zhiping Weng; Terrence S. Furey; Gregory E. Crawford

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.


Nature Biotechnology | 2015

Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers

Isaac B. Hilton; Anthony M. D'Ippolito; Christopher M. Vockley; Pratiksha I. Thakore; Gregory E. Crawford; Timothy E. Reddy; Charles A. Gersbach

Technologies that enable targeted manipulation of epigenetic marks could be used to precisely control cell phenotype or interrogate the relationship between the epigenome and transcriptional control. Here we describe a programmable, CRISPR-Cas9-based acetyltransferase consisting of the nuclease-null dCas9 protein fused to the catalytic core of the human acetyltransferase p300. The fusion protein catalyzes acetylation of histone H3 lysine 27 at its target sites, leading to robust transcriptional activation of target genes from promoters and both proximal and distal enhancers. Gene activation by the targeted acetyltransferase was highly specific across the genome. In contrast to previous dCas9-based activators, the acetyltransferase activates genes from enhancer regions and with an individual guide RNA. We also show that the core p300 domain can be fused to other programmable DNA-binding proteins. These results support targeted acetylation as a causal mechanism of transactivation and provide a robust tool for manipulating gene regulation.


Nature Methods | 2013

RNA-guided gene activation by CRISPR-Cas9–based transcription factors

Pablo Perez-Pinera; D. Dewran Kocak; Christopher M. Vockley; Andrew F. Adler; Ami M. Kabadi; Lauren R. Polstein; Pratiksha I. Thakore; Katherine A. Glass; David G. Ousterout; Kam W. Leong; Farshid Guilak; Gregory E. Crawford; Timothy E. Reddy; Charles A. Gersbach

Technologies for engineering synthetic transcription factors have enabled many advances in medical and scientific research. In contrast to existing methods based on engineering of DNA-binding proteins, we created a Cas9-based transactivator that is targeted to DNA sequences by guide RNA molecules. Coexpression of this transactivator and combinations of guide RNAs in human cells induced specific expression of endogenous target genes, demonstrating a simple and versatile approach for RNA-guided gene activation.


Genome Research | 2013

Dynamic DNA methylation across diverse human cell lines and tissues

Katherine E. Varley; Jason Gertz; Kevin M. Bowling; Stephanie L. Parker; Timothy E. Reddy; Florencia Pauli-Behn; Marie K. Cross; Brian A. Williams; John A. Stamatoyannopoulos; Gregory E. Crawford; Devin Absher; Barbara J. Wold; Richard M. Myers

As studies of DNA methylation increase in scope, it has become evident that methylation has a complex relationship with gene expression, plays an important role in defining cell types, and is disrupted in many diseases. We describe large-scale single-base resolution DNA methylation profiling on a diverse collection of 82 human cell lines and tissues using reduced representation bisulfite sequencing (RRBS). Analysis integrating RNA-seq and ChIP-seq data illuminates the functional role of this dynamic mark. Loci that are hypermethylated across cancer types are enriched for sites bound by NANOG in embryonic stem cells, which supports and expands the model of a stem/progenitor cell signature in cancer. CpGs that are hypomethylated across cancer types are concentrated in megabase-scale domains that occur near the telomeres and centromeres of chromosomes, are depleted of genes, and are enriched for cancer-specific EZH2 binding and H3K27me3 (repressive chromatin). In noncancer samples, there are cell-type specific methylation signatures preserved in primary cell lines and tissues as well as methylation differences induced by cell culture. The relationship between methylation and expression is context-dependent, and we find that CpG-rich enhancers bound by EP300 in the bodies of expressed genes are unmethylated despite the dense gene-body methylation surrounding them. Non-CpG cytosine methylation occurs in human somatic tissue, is particularly prevalent in brain tissue, and is reproducible across many individuals. This study provides an atlas of DNA methylation across diverse and well-characterized samples and enables new discoveries about DNA methylation and its role in gene regulation and disease.


Nature | 2012

DNase I sensitivity QTLs are a major determinant of human expression variation

Jacob F. Degner; Athma A. Pai; Roger Pique-Regi; Jean Baptiste Veyrieras; Daniel J. Gaffney; Joseph K. Pickrell; Sherryl De Leon; Katelyn Michelini; Noah Lewellen; Gregory E. Crawford; Matthew Stephens; Yoav Gilad; Jonathan K. Pritchard

The mapping of expression quantitative trait loci (eQTLs) has emerged as an important tool for linking genetic variation to changes in gene regulation. However, it remains difficult to identify the causal variants underlying eQTLs, and little is known about the regulatory mechanisms by which they act. Here we show that genetic variants that modify chromatin accessibility and transcription factor binding are a major mechanism through which genetic variation leads to gene expression differences among humans. We used DNase I sequencing to measure chromatin accessibility in 70 Yoruba lymphoblastoid cell lines, for which genome-wide genotypes and estimates of gene expression levels are also available. We obtained a total of 2.7 billion uniquely mapped DNase I-sequencing (DNase-seq) reads, which allowed us to produce genome-wide maps of chromatin accessibility for each individual. We identified 8,902 locations at which the DNase-seq read depth correlated significantly with genotype at a nearby single nucleotide polymorphism or insertion/deletion (false discovery rate = 10%). We call such variants ‘DNase I sensitivity quantitative trait loci’ (dsQTLs). We found that dsQTLs are strongly enriched within inferred transcription factor binding sites and are frequently associated with allele-specific changes in transcription factor binding. A substantial fraction (16%) of dsQTLs are also associated with variation in the expression levels of nearby genes (that is, these loci are also classified as eQTLs). Conversely, we estimate that as many as 55% of eQTL single nucleotide polymorphisms are also dsQTLs. Our observations indicate that dsQTLs are highly abundant in the human genome and are likely to be important contributors to phenotypic variation.


Proceedings of the National Academy of Sciences of the United States of America | 2014

Defining functional DNA elements in the human genome

Manolis Kellis; Barbara J. Wold; Michael Snyder; Bradley E. Bernstein; Anshul Kundaje; Georgi K. Marinov; Lucas D. Ward; Ewan Birney; Gregory E. Crawford; Job Dekker; Ian Dunham; Laura Elnitski; Peggy J. Farnham; Elise A. Feingold; Mark Gerstein; Morgan C. Giddings; David M. Gilbert; Thomas R. Gingeras; Eric D. Green; Roderic Guigó; Tim Hubbard; Jim Kent; Jason D. Lieb; Richard M. Myers; Michael J. Pazin; Bing Ren; John A. Stamatoyannopoulos; Zhiping Weng; Kevin P. White; Ross C. Hardison

With the completion of the human genome sequence, attention turned to identifying and annotating its functional DNA elements. As a complement to genetic and comparative genomics approaches, the Encyclopedia of DNA Elements Project was launched to contribute maps of RNA transcripts, transcriptional regulator binding sites, and chromatin states in many cell types. The resulting genome-wide data reveal sites of biochemical activity with high positional resolution and cell type specificity that facilitate studies of gene regulation and interpretation of noncoding variants associated with human disease. However, the biochemically active regions cover a much larger fraction of the genome than do evolutionarily conserved regions, raising the question of whether nonconserved but biochemically active regions are truly functional. Here, we review the strengths and limitations of biochemical, evolutionary, and genetic approaches for defining functional DNA segments, potential sources for the observed differences in estimated genomic coverage, and the biological implications of these discrepancies. We also analyze the relationship between signal intensity, genomic coverage, and evolutionary conservation. Our results reinforce the principle that each approach provides complementary information and that we need to use combinations of all three to elucidate genome function in human biology and disease.


PLOS Pathogens | 2006

Retroviral DNA Integration: Viral and Cellular Determinants of Target-Site Selection

Mary K. Lewinski; Masahiro Yamashita; Michael Emerman; Angela Ciuffi; Heather Marshall; Gregory E. Crawford; Francis S. Collins; Paul Shinn; Jeremy Leipzig; Sridhar Hannenhalli; Charles C. Berry; Joseph R. Ecker; Frederic D. Bushman

Retroviruses differ in their preferences for sites for viral DNA integration in the chromosomes of infected cells. Human immunodeficiency virus (HIV) integrates preferentially within active transcription units, whereas murine leukemia virus (MLV) integrates preferentially near transcription start sites and CpG islands. We investigated the viral determinants of integration-site selection using HIV chimeras with MLV genes substituted for their HIV counterparts. We found that transferring the MLV integrase (IN) coding region into HIV (to make HIVmIN) caused the hybrid to integrate with a specificity close to that of MLV. Addition of MLV gag (to make HIVmGagmIN) further increased the similarity of target-site selection to that of MLV. A chimeric virus with MLV Gag only (HIVmGag) displayed targeting preferences different from that of both HIV and MLV, further implicating Gag proteins in targeting as well as IN. We also report a genome-wide analysis indicating that MLV, but not HIV, favors integration near DNase I–hypersensitive sites (i.e., +/− 1 kb), and that HIVmIN and HIVmGagmIN also favored integration near these features. These findings reveal that IN is the principal viral determinant of integration specificity; they also reveal a new role for Gag-derived proteins, and strengthen models for integration targeting based on tethering of viral IN proteins to host proteins.

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Terrence S. Furey

University of North Carolina at Chapel Hill

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Francis S. Collins

National Institutes of Health

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Yoichiro Shibata

University of North Carolina at Chapel Hill

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Bum Kyu Lee

University of Texas at Austin

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Vishwanath R. Iyer

University of Texas at Austin

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