Jeff Vierstra

Jeff Vierstra

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Jeff Vierstra

Altius Institute for Biomedical Sciences, Seattle, USA

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 September 2012 in Nature
Verified
Journal Article
Open access
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RTRobert E. Thurman
Robert E. Thurman
EREric Rynes
Eric Rynes
RHRichard Humbert
Richard Humbert
JVJeff Vierstra
Jeff Vierstra
MMMatthew T. Maurano
Matthew T. Maurano
JSJohn A. Stamatoyannopoulos
John A. Stamatoyannopoulos
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.

19 November 2014 in Nature
Verified
Journal Article
Open access
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FYFeng Yue
Feng Yue
YCYong Cheng
Yong Cheng
ABAlessandra Breschi
Alessandra Breschi
JVJeff Vierstra
Jeff Vierstra
WWWeisheng Wu
Weisheng Wu
TCThe Mouse ENCODE Consortium
The Mouse ENCODE Consortium
The laboratory mouse shares the majority of its protein-coding genes with humans, making it the premier model organism in biomedical research, yet the two mammals differ in significant ways. To gain greater insights into both shared and species-specific transcriptional and cellular regulatory programs in the mouse, the Mouse ENCODE Consortium has mapped transcription, DNase I hypersensitivity, transcription factor binding, chromatin modifications and replication domains throughout the mouse genome in diverse cell and tissue types. By comparing with the human genome, we not only confirm substantial conservation in the newly annotated potential functional sequences, but also find a large degree of divergence of sequences involved in transcriptional regulation, chromatin state and higher order chromatin organization. Our results illuminate the wide range of evolutionary forces acting on genes and their regulatory regions, and provide a general resource for research into mammalian biology and mechanisms of human diseases.

9 May 2012 in Bioinformatics
Verified
Journal Article
Open access
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SNShane Neph
Shane Neph
MKM. Scott Kuehn
M. Scott Kuehn
ARAlex P. Reynolds
Alex P. Reynolds
EHEric Haugen
Eric Haugen
RTRobert E. Thurman
Robert E. Thurman
JSJohn A. Stamatoyannopoulos
John A. Stamatoyannopoulos
Summary: The large and growing number of genome-wide datasets highlights the need for high-performance feature analysis and data comparison methods, in addition to efficient data storage and retrieval techniques. We introduce BEDOPS, a software suite for common genomic analysis tasks which offers improved flexibility, scalability and execution time characteristics over previously published packages. The suite includes a utility to compress large inputs into a lossless format that can provide greater space savings and faster data extractions than alternatives. Availability:http://code.google.com/p/bedops/ includes binaries, source and documentation. Contact:sjn@u.washington.edu and jstam@u.washington.edu Supplementary information: Supplementary data are available at Bioinformatics online.

5 September 2012 in Nature
Verified
Journal Article
Open access
PDF file
SNShane Neph
Shane Neph
JVJeff Vierstra
Jeff Vierstra
ASAndrew B. Stergachis
Andrew B. Stergachis
ARAlex P. Reynolds
Alex P. Reynolds
EHEric Haugen
Eric Haugen
JSJohn A. Stamatoyannopoulos
John A. Stamatoyannopoulos
Regulatory factor binding to genomic DNA protects the underlying sequence from cleavage by DNase I, leaving nucleotide-resolution footprints. Using genomic DNase I footprinting across 41 diverse cell and tissue types, we detected 45 million transcription 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 DNase I 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.

11 October 2013 in Science
Verified
Journal Article
Closed access
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DBDaniel E. Bauer
Daniel E. Bauer
SKSophia C. Kamran
Sophia C. Kamran
SLSamuel Lessard
Samuel Lessard
JXJian Xu
Jian Xu
YFYuko Fujiwara
Yuko Fujiwara
SOStuart H. Orkin
Stuart H. Orkin
BCL11A Variants: Recent chromatin mapping data have suggested that trait-associated variants often mark regulatory DNA. However, there has been little rigorous experimental investigation of regulatory variation. Bauer et al. (p. 253 ; see the Perspective by Hardison and Blobel ) performed an in-depth study of the BCL11A fetal hemoglobin-associated locus. The trait-associated variants revealed a chromatin signature that enhanced erythroid development. The enhancer was required for erythroid expression of BCL11A and thus for globin gene expression.

29 July 2020 in Nature
Verified
Journal Article
Open access
PDF file
JVJeff Vierstra
Jeff Vierstra
JLJohn Lazar
John Lazar
RSRichard Sandstrom
Richard Sandstrom
JHJessica Halow
Jessica Halow
KLKristen Lee
Kristen Lee
JSJohn A. Stamatoyannopoulos
John A. Stamatoyannopoulos
Combinatorial binding of transcription factors to regulatory DNA underpins gene regulation in all organisms. Genetic variation in regulatory regions has been connected with diseases and diverse phenotypic traits1, but it remains challenging to distinguish variants that affect regulatory function2. Genomic DNase I footprinting enables the quantitative, nucleotide-resolution delineation of sites of transcription factor occupancy within native chromatin3–6. However, only a small fraction of such sites have been precisely resolved on the human genome sequence6. Here, to enable comprehensive mapping of transcription factor footprints, we produced high-density DNase I cleavage maps from 243 human cell and tissue types and states and integrated these data to delineate about 4.5 million compact genomic elements that encode transcription factor occupancy at nucleotide resolution. We map the fine-scale structure within about 1.6 million DNase I-hypersensitive sites and show that the overwhelming majority are populated by well-spaced sites of single transcription factor–DNA interaction. Cell-context-dependent cis-regulation is chiefly executed by wholesale modulation of accessibility at regulatory DNA rather than by differential transcription factor occupancy within accessible elements. We also show that the enrichment of genetic variants associated with diseases or phenotypic traits in regulatory regions1,7 is almost entirely attributable to variants within footprints, and that functional variants that affect transcription factor occupancy are nearly evenly partitioned between loss- and gain-of-function alleles. Unexpectedly, we find increased density of human genetic variation within transcription factor footprints, revealing an unappreciated driver of cis-regulatory evolution. Our results provide a framework for both global and nucleotide-precision analyses of gene regulatory mechanisms and functional genetic variation.