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Dive into the research topics where Yutao Fu is active.

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Featured researches published by Yutao Fu.


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 | 2011

An integrated semiconductor device enabling non-optical genome sequencing

Jonathan M. Rothberg; Wolfgang Hinz; Todd Rearick; Jonathan Schultz; William Mileski; Mel Davey; John H. Leamon; Kim L. Johnson; Mark James Milgrew; Matthew Edwards; Jeremy Hoon; Jan F. Simons; David Marran; Jason Myers; John F. Davidson; Annika Branting; John Nobile; Bernard P. Puc; David Light; Travis A. Clark; Martin Huber; Jeffrey T. Branciforte; Isaac B. Stoner; Simon Cawley; Michael J. Lyons; Yutao Fu; Nils Homer; Marina Sedova; Xin Miao; Brian Reed

The seminal importance of DNA sequencing to the life sciences, biotechnology and medicine has driven the search for more scalable and lower-cost solutions. Here we describe a DNA sequencing technology in which scalable, low-cost semiconductor manufacturing techniques are used to make an integrated circuit able to directly perform non-optical DNA sequencing of genomes. Sequence data are obtained by directly sensing the ions produced by template-directed DNA polymerase synthesis using all-natural nucleotides on this massively parallel semiconductor-sensing device or ion chip. The ion chip contains ion-sensitive, field-effect transistor-based sensors in perfect register with 1.2 million wells, which provide confinement and allow parallel, simultaneous detection of independent sequencing reactions. Use of the most widely used technology for constructing integrated circuits, the complementary metal-oxide semiconductor (CMOS) process, allows for low-cost, large-scale production and scaling of the device to higher densities and larger array sizes. We show the performance of the system by sequencing three bacterial genomes, its robustness and scalability by producing ion chips with up to 10 times as many sensors and sequencing a human genome.


Nature Biotechnology | 2005

Assessing computational tools for the discovery of transcription factor binding sites

Martin Tompa; Nan Li; Timothy L. Bailey; George M. Church; Bart De Moor; Eleazar Eskin; Alexander V. Favorov; Martin C. Frith; Yutao Fu; W. James Kent; Vsevolod J. Makeev; Andrei A. Mironov; William Stafford Noble; Giulio Pavesi; Mireille Régnier; Nicolas Simonis; Saurabh Sinha; Gert Thijs; Jacques van Helden; Mathias Vandenbogaert; Zhiping Weng; Christopher T. Workman; Chun Ye; Zhou Zhu

The prediction of regulatory elements is a problem where computational methods offer great hope. Over the past few years, numerous tools have become available for this task. The purpose of the current assessment is twofold: to provide some guidance to users regarding the accuracy of currently available tools in various settings, and to provide a benchmark of data sets for assessing future tools.


Cell | 2006

A Global Map of p53 Transcription-Factor Binding Sites in the Human Genome

Chia-Lin Wei; Qiang Wu; Vinsensius B. Vega; Kuo Ping Chiu; Patrick Kwok Shing Ng; Tao Zhang; Atif Shahab; How Choong Yong; Yutao Fu; Zhiping Weng; Jianjun Liu; Xiao Dong Zhao; Joon-Lin Chew; Yen Ling Lee; Vladimir A. Kuznetsov; Wing-Kin Sung; Lance D. Miller; Bing Lim; Edison T. Liu; Qiang Yu; Huck-Hui Ng; Yijun Ruan

The ability to derive a whole-genome map of transcription-factor binding sites (TFBS) is crucial for elucidating gene regulatory networks. Herein, we describe a robust approach that couples chromatin immunoprecipitation (ChIP) with the paired-end ditag (PET) sequencing strategy for unbiased and precise global localization of TFBS. We have applied this strategy to map p53 targets in the human genome. From a saturated sampling of over half a million PET sequences, we characterized 65,572 unique p53 ChIP DNA fragments and established overlapping PET clusters as a readout to define p53 binding loci with remarkable specificity. Based on this information, we refined the consensus p53 binding motif, identified at least 542 binding loci with high confidence, discovered 98 previously unidentified p53 target genes that were implicated in novel aspects of p53 functions, and showed their clinical relevance to p53-dependent tumorigenesis in primary cancer samples.


Nature | 2011

Mapping copy number variation by population-scale genome sequencing

Ryan E. Mills; Klaudia Walter; Chip Stewart; Robert E. Handsaker; Ken Chen; Can Alkan; Alexej Abyzov; Seungtai Yoon; Kai Ye; R. Keira Cheetham; Asif T. Chinwalla; Donald F. Conrad; Yutao Fu; Fabian Grubert; Iman Hajirasouliha; Fereydoun Hormozdiari; Lilia M. Iakoucheva; Zamin Iqbal; Shuli Kang; Jeffrey M. Kidd; Miriam K. Konkel; Joshua M. Korn; Ekta Khurana; Deniz Kural; Hugo Y. K. Lam; Jing Leng; Ruiqiang Li; Yingrui Li; Chang-Yun Lin; Ruibang Luo

Genomic structural variants (SVs) are abundant in humans, differing from other forms of variation in extent, origin and functional impact. Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown. We constructed a map of unbalanced SVs (that is, copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations. Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications. Most SVs (53%) were mapped to nucleotide resolution, which facilitated analysing their origin and functional impact. We examined numerous whole and partial gene deletions with a genotyping approach and observed a depletion of gene disruptions amongst high frequency deletions. Furthermore, we observed differences in the size spectra of SVs originating from distinct formation mechanisms, and constructed a map of SV hotspots formed by common mechanisms. Our analytical framework and SV map serves as a resource for sequencing-based association studies.


Genome Research | 2009

Sequence and structural variation in a human genome uncovered by short-read, massively parallel ligation sequencing using two-base encoding

Kevin McKernan; Heather E. Peckham; Gina Costa; Stephen F. McLaughlin; Yutao Fu; Eric F. Tsung; Christopher Clouser; Cisyla Duncan; Jeffrey K. Ichikawa; Clarence Lee; Zheng Zhang; Swati Ranade; Eileen T. Dimalanta; Fiona Hyland; Tanya Sokolsky; Lei Zhang; Andrew Sheridan; Haoning Fu; Cynthia L. Hendrickson; Bin Li; Lev Kotler; Jeremy Stuart; Joel A. Malek; Jonathan M. Manning; Alena A. Antipova; Damon S. Perez; Michael P. Moore; Kathleen Hayashibara; Michael R. Lyons; Robert E. Beaudoin

We describe the genome sequencing of an anonymous individual of African origin using a novel ligation-based sequencing assay that enables a unique form of error correction that improves the raw accuracy of the aligned reads to >99.9%, allowing us to accurately call SNPs with as few as two reads per allele. We collected several billion mate-paired reads yielding approximately 18x haploid coverage of aligned sequence and close to 300x clone coverage. Over 98% of the reference genome is covered with at least one uniquely placed read, and 99.65% is spanned by at least one uniquely placed mate-paired clone. We identify over 3.8 million SNPs, 19% of which are novel. Mate-paired data are used to physically resolve haplotype phases of nearly two-thirds of the genotypes obtained and produce phased segments of up to 215 kb. We detect 226,529 intra-read indels, 5590 indels between mate-paired reads, 91 inversions, and four gene fusions. We use a novel approach for detecting indels between mate-paired reads that are smaller than the standard deviation of the insert size of the library and discover deletions in common with those detected with our intra-read approach. Dozens of mutations previously described in OMIM and hundreds of nonsynonymous single-nucleotide and structural variants in genes previously implicated in disease are identified in this individual. There is more genetic variation in the human genome still to be uncovered, and we provide guidance for future surveys in populations and cancer biopsies.


Proceedings of the National Academy of Sciences of the United States of America | 2006

Global mapping of c-Myc binding sites and target gene networks in human B cells

Karen I. Zeller; Xiaodong Zhao; Charlie W. H. Lee; Kuo Ping Chiu; Fei Yao; Jason T. Yustein; Hong Sain Ooi; Yuriy L. Orlov; Atif Shahab; How Choong Yong; Yutao Fu; Zhiping Weng; Vladimir A. Kuznetsov; Wing-Kin Sung; Yijun Ruan; Chi V. Dang; Chia-Lin Wei

The protooncogene MYC encodes the c-Myc transcription factor that regulates cell growth, cell proliferation, cell cycle, and apoptosis. Although deregulation of MYC contributes to tumorigenesis, it is still unclear what direct Myc-induced transcriptomes promote cell transformation. Here we provide a snapshot of genome-wide, unbiased characterization of direct Myc binding targets in a model of human B lymphoid tumor using ChIP coupled with pair-end ditag sequencing analysis (ChIP-PET). Myc potentially occupies >4,000 genomic loci with the majority near proximal promoter regions associated frequently with CpG islands. Using gene expression profiles with ChIP-PET, we identified 668 direct Myc-regulated gene targets, including 48 transcription factors, indicating that Myc is a central transcriptional hub in growth and proliferation control. This first global genomic view of Myc binding sites yields insights of transcriptional circuitries and cis regulatory modules involving Myc and provides a substantial framework for our understanding of mechanisms of Myc-induced tumorigenesis.


PLOS Genetics | 2008

The Insulator Binding Protein CTCF Positions 20 Nucleosomes around Its Binding Sites across the Human Genome

Yutao Fu; Manisha Sinha; Craig L. Peterson; Zhiping Weng

Chromatin structure plays an important role in modulating the accessibility of genomic DNA to regulatory proteins in eukaryotic cells. We performed an integrative analysis on dozens of recent datasets generated by deep-sequencing and high-density tiling arrays, and we discovered an array of well-positioned nucleosomes flanking sites occupied by the insulator binding protein CTCF across the human genome. These nucleosomes are highly enriched for the histone variant H2A.Z and 11 histone modifications. The distances between the center positions of the neighboring nucleosomes are largely invariant, and we estimate them to be 185 bp on average. Surprisingly, subsets of nucleosomes that are enriched in different histone modifications vary greatly in the lengths of DNA protected from micrococcal nuclease cleavage (106–164 bp). The nucleosomes enriched in those histone modifications previously implicated to be correlated with active transcription tend to contain less protected DNA, indicating that these modifications are correlated with greater DNA accessibility. Another striking result obtained from our analysis is that nucleosomes flanking CTCF sites are much better positioned than those downstream of transcription start sites, the only genomic feature previously known to position nucleosomes genome-wide. This nucleosome-positioning phenomenon is not observed for other transcriptional factors for which we had genome-wide binding data. We suggest that binding of CTCF provides an anchor point for positioning nucleosomes, and chromatin remodeling is an important component of CTCF function.


PLOS Genetics | 2005

Identification and Characterization of Cell Type-Specific and Ubiquitous Chromatin Regulatory Structures in the Human Genome

Hualin Xi; Hennady P. Shulha; Jane M. Lin; Teresa Vales; Yutao Fu; David M Bodine; Ronald D. G. McKay; Josh G. Chenoweth; Paul J. Tesar; Terrence S. Furey; Bing Ren; Zhiping Weng; Gregory E. Crawford

The identification of regulatory elements from different cell types is necessary for understanding the mechanisms controlling cell type–specific and housekeeping gene expression. Mapping DNaseI hypersensitive (HS) sites is an accurate method for identifying the location of functional regulatory elements. We used a high throughput method called DNase-chip to identify 3,904 DNaseI HS sites from six cell types across 1% of the human genome. A significant number (22%) of DNaseI HS sites from each cell type are ubiquitously present among all cell types studied. Surprisingly, nearly all of these ubiquitous DNaseI HS sites correspond to either promoters or insulator elements: 86% of them are located near annotated transcription start sites and 10% are bound by CTCF, a protein with known enhancer-blocking insulator activity. We also identified a large number of DNaseI HS sites that are cell type specific (only present in one cell type); these regions are enriched for enhancer elements and correlate with cell type–specific gene expression as well as cell type–specific histone modifications. Finally, we found that approximately 8% of the genome overlaps a DNaseI HS site in at least one the six cell lines studied, indicating that a significant percentage of the genome is potentially functional.


Genome Research | 2010

Chromatin and sequence features that define the fine and gross structure of genomic methylation patterns

John R. Edwards; Anne H. O'Donnell; Robert A. Rollins; Heather E. Peckham; Clarence Lee; Maria H. Milekic; Benjamin Chanrion; Yutao Fu; Tao Su; Hanina Hibshoosh; Jay A. Gingrich; Fatemeh Haghighi; Robert C. Nutter; Timothy H. Bestor

Abnormalities of genomic methylation patterns are lethal or cause disease, but the cues that normally designate CpG dinucleotides for methylation are poorly understood. We have developed a new method of methylation profiling that has single-CpG resolution and can address the methylation status of repeated sequences. We have used this method to determine the methylation status of >275 million CpG sites in human and mouse DNA from breast and brain tissues. Methylation density at most sequences was found to increase linearly with CpG density and to fall sharply at very high CpG densities, but transposons remained densely methylated even at higher CpG densities. The presence of histone H2A.Z and histone H3 di- or trimethylated at lysine 4 correlated strongly with unmethylated DNA and occurred primarily at promoter regions. We conclude that methylation is the default state of most CpG dinucleotides in the mammalian genome and that a combination of local dinucleotide frequencies, the interaction of repeated sequences, and the presence or absence of histone variants or modifications shields a population of CpG sites (most of which are in and around promoters) from DNA methyltransferases that lack intrinsic sequence specificity.

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Zhiping Weng

University of Massachusetts Medical School

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Keith A. Ching

University of California

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