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Dive into the research topics where Dmitry K. Pokholok is active.

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Featured researches published by Dmitry K. Pokholok.


Nature | 2004

Transcriptional regulatory code of a eukaryotic genome

Christopher T. Harbison; D. Benjamin Gordon; Tong Ihn Lee; Nicola J. Rinaldi; Kenzie D. MacIsaac; Timothy Danford; Nancy M. Hannett; Jean-Bosco Tagne; David B. Reynolds; Jane Yoo; Ezra G. Jennings; Julia Zeitlinger; Dmitry K. Pokholok; Manolis Kellis; P. Alex Rolfe; Ken T. Takusagawa; Eric S. Lander; David K. Gifford; Ernest Fraenkel; Richard A. Young

DNA-binding transcriptional regulators interpret the genomes regulatory code by binding to specific sequences to induce or repress gene expression. Comparative genomics has recently been used to identify potential cis-regulatory sequences within the yeast genome on the basis of phylogenetic conservation, but this information alone does not reveal if or when transcriptional regulators occupy these binding sites. We have constructed an initial map of yeasts transcriptional regulatory code by identifying the sequence elements that are bound by regulators under various conditions and that are conserved among Saccharomyces species. The organization of regulatory elements in promoters and the environment-dependent use of these elements by regulators are discussed. We find that environment-specific use of regulatory elements predicts mechanistic models for the function of a large population of yeasts transcriptional regulators.


Cell | 2005

Genome-wide Map of Nucleosome Acetylation and Methylation in Yeast

Dmitry K. Pokholok; Christopher T. Harbison; Stuart S. Levine; Megan F. Cole; Nancy M. Hannett; Tong Ihn Lee; George W. Bell; Kimberly Walker; P. Alex Rolfe; Elizabeth Herbolsheimer; Julia Zeitlinger; Fran Lewitter; David K. Gifford; Richard A. Young

Eukaryotic genomes are packaged into nucleosomes whose position and chemical modification state can profoundly influence regulation of gene expression. We profiled nucleosome modifications across the yeast genome using chromatin immunoprecipitation coupled with DNA microarrays to produce high-resolution genome-wide maps of histone acetylation and methylation. These maps take into account changes in nucleosome occupancy at actively transcribed genes and, in doing so, revise previous assessments of the modifications associated with gene expression. Both acetylation and methylation of histones are associated with transcriptional activity, but the former occurs predominantly at the beginning of genes, whereas the latter can occur throughout transcribed regions. Most notably, specific methylation events are associated with the beginning, middle, and end of actively transcribed genes. These maps provide the foundation for further understanding the roles of chromatin in gene expression and genome maintenance.


Molecular Cell | 2002

Exchange of RNA Polymerase II Initiation and Elongation Factors during Gene Expression In Vivo

Dmitry K. Pokholok; Nancy M. Hannett; Richard A. Young

We have systematically explored the in vivo occupancy of promoters and open reading frames by components of the RNA polymerase II transcription initiation and elongation apparatuses in yeast. RNA polymerase II, Mediator, and the general transcription factors (GTFs) were recruited to all promoters tested upon gene activation. RNA polymerase II, TFIIS, Spt5, and, unexpectedly, the Paf1/Cdc73 complex, were found associated with open reading frames. The presence of the Paf1/Cdc73 complex on ORFs in vivo suggests a novel function for this complex in elongation. Elongator was not detected under any conditions tested, and further analysis revealed that the majority of elongator is cytoplasmic. These results suggest a revised model for transcription initiation and elongation apparatuses in living cells.


Nature Biotechnology | 2006

High-resolution computational models of genome binding events

Yuan Qi; Alex Rolfe; Kenzie D. MacIsaac; Georg K. Gerber; Dmitry K. Pokholok; Julia Zeitlinger; Timothy Danford; Robin D. Dowell; Ernest Fraenkel; Tommi S. Jaakkola; Richard A. Young; David K. Gifford

Direct physical information that describes where transcription factors, nucleosomes, modified histones, RNA polymerase II and other key proteins interact with the genome provides an invaluable mechanistic foundation for understanding complex programs of gene regulation. We present a method, joint binding deconvolution (JBD), which uses additional easily obtainable experimental data about chromatin immunoprecipitation (ChIP) to improve the spatial resolution of the transcription factor binding locations inferred from ChIP followed by DNA microarray hybridization (ChIP-Chip) data. Based on this probabilistic model of binding data, we further pursue improved spatial resolution by using sequence information. We produce positional priors that link ChIP-Chip data to sequence data by guiding motif discovery to inferred protein-DNA binding sites. We present results on the yeast transcription factors Gcn4 and Mig2 to demonstrate JBDs spatial resolution capabilities and show that positional priors allow computational discovery of the Mig2 motif when a standard approach fails.


Nature Biotechnology | 2017

Haplotype phasing of whole human genomes using bead-based barcode partitioning in a single tube

Fan Zhang; Lena Christiansen; Jerushah Thomas; Dmitry K. Pokholok; Ros Jackson; Natalie Morrell; Yannan Zhao; Melissa Wiley; Emily Welch; Erich Jaeger; Ana Granat; Steven J Norberg; Aaron Halpern; Maria C Rogert; Mostafa Ronaghi; Jay Shendure; Niall Anthony Gormley; Kevin L. Gunderson; Frank J. Steemers

Haplotype-resolved genome sequencing promises to unlock a wealth of information in population and medical genetics. However, for the vast majority of genomes sequenced to date, haplotypes have not been determined because of cumbersome haplotyping workflows that require fractions of the genome to be sequenced in a large number of compartments. Here we demonstrate barcode partitioning of long DNA molecules in a single compartment using “on-bead” barcoded tagmentation. The key to the method that we call “contiguity preserving transposition” sequencing on beads (CPTv2-seq) is transposon-mediated transfer of homogenous populations of barcodes from beads to individual long DNA molecules that get fragmented at the same time (tagmentation). These are then processed to sequencing libraries wherein all sequencing reads originating from each long DNA molecule share a common barcode. Single-tube, bulk processing of long DNA molecules with ∼150,000 different barcoded bead types provides a barcode-linked read structure that reveals long-range molecular contiguity. This technology provides a simple, rapid, plate-scalable and automatable route to accurate, haplotype-resolved sequencing, and phasing of structural variants of the genome.


Molecular Cell | 2004

Global Position and Recruitment of HATs and HDACs in the Yeast Genome

François Robert; Dmitry K. Pokholok; Nancy M. Hannett; Nicola J. Rinaldi; Mark Chandy; Alex Rolfe; Jerry L. Workman; David K. Gifford; Richard A. Young


Science | 2006

Activated Signal Transduction Kinases Frequently Occupy Target Genes

Dmitry K. Pokholok; Julia Zeitlinger; Nancy M. Hannett; David B. Reynolds; Richard A. Young


Archive | 2017

Contiguity preserving transposition

Frank J. Steemers; Kevin L. Gunderson; Fan Zhang; Jason Richard Betley; Niall Anthony Gormley; Wouter Meuleman; Jacqueline C. Weir; Avgousta Ioannou; Gareth Jenkins; Rosamond Jackson; Natalie Morrell; Dmitry K. Pokholok; Steven J Norberg; Molly He; Amirali Kia; Igor Goryshin; Rigo Pantoja


Archive | 2006

Novel Methods for Genome-Wide Location Analysis

Christopher T. Harbison; Richard A. Young; Dmitry K. Pokholok


Nature Biotechnology | 2006

Erratum: High-resolution computational models of genome binding events

Yuan Qi; Alex Rolfe; Kenzie D. MacIsaac; Georg K. Gerber; Dmitry K. Pokholok; Julia Zeitlinger; Timothy Danford; Robin D. Dowell; Ernest Fraenkel; Tommi S. Jaakkola; Richard A. Young; David K. Gifford

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Richard A. Young

Massachusetts Institute of Technology

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David K. Gifford

Massachusetts Institute of Technology

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Julia Zeitlinger

Stowers Institute for Medical Research

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Nancy M. Hannett

Massachusetts Institute of Technology

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Alex Rolfe

Massachusetts Institute of Technology

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Christopher T. Harbison

Massachusetts Institute of Technology

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Ernest Fraenkel

Massachusetts Institute of Technology

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Kenzie D. MacIsaac

Massachusetts Institute of Technology

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Timothy Danford

Massachusetts Institute of Technology

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David B. Reynolds

Massachusetts Institute of Technology

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