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Dive into the research topics where Kenneth H. Wan is active.

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Featured researches published by Kenneth H. Wan.


Nature | 2011

The developmental transcriptome of Drosophila melanogaster

Brenton R. Graveley; Angela N. Brooks; Joseph W. Carlson; Michael O. Duff; Jane M. Landolin; Li Min Yang; Carlo G. Artieri; Marijke J. van Baren; Nathan Boley; Benjamin W. Booth; James B. Brown; Lucy Cherbas; Carrie A. Davis; Alexander Dobin; Renhua Li; Wei Lin; John H. Malone; Nicolas R Mattiuzzo; David S. Miller; David Sturgill; Brian B. Tuch; Chris Zaleski; Dayu Zhang; Marco Blanchette; Sandrine Dudoit; Brian D. Eads; Richard E. Green; Ann S. Hammonds; Lichun Jiang; Phil Kapranov

Drosophila melanogaster is one of the most well studied genetic model organisms, nonetheless its genome still contains unannotated coding and non-coding genes, transcripts, exons, and RNA editing sites. Full discovery and annotation are prerequisites for understanding how the regulation of transcription, splicing, and RNA editing directs development of this complex organism. We used RNA-Seq, tiling microarrays, and cDNA sequencing to explore the transcriptome in 30 distinct developmental stages. We identified 111,195 new elements, including thousands of genes, coding and non-coding transcripts, exons, splicing and editing events and inferred protein isoforms that previously eluded discovery using established experimental, prediction and conservation-based approaches. Together, these data substantially expand the number of known transcribed elements in the Drosophila genome and provide a high-resolution view of transcriptome dynamics throughout development.


Science | 2010

Identification of functional elements and regulatory circuits by Drosophila modENCODE

Sushmita Roy; Jason Ernst; Peter V. Kharchenko; Pouya Kheradpour; Nicolas Nègre; Matthew L. Eaton; Jane M. Landolin; Christopher A. Bristow; Lijia Ma; Michael F. Lin; Stefan Washietl; Bradley I. Arshinoff; Ferhat Ay; Patrick E. Meyer; Nicolas Robine; Nicole L. Washington; Luisa Di Stefano; Eugene Berezikov; Christopher D. Brown; Rogerio Candeias; Joseph W. Carlson; Adrian Carr; Irwin Jungreis; Daniel Marbach; Rachel Sealfon; Michael Y. Tolstorukov; Sebastian Will; Artyom A. Alekseyenko; Carlo G. Artieri; Benjamin W. Booth

From Genome to Regulatory Networks For biologists, having a genome in hand is only the beginning—much more investigation is still needed to characterize how the genome is used to help to produce a functional organism (see the Perspective by Blaxter). In this vein, Gerstein et al. (p. 1775) summarize for the Caenorhabditis elegans genome, and The modENCODE Consortium (p. 1787) summarize for the Drosophila melanogaster genome, full transcriptome analyses over developmental stages, genome-wide identification of transcription factor binding sites, and high-resolution maps of chromatin organization. Both studies identified regions of the nematode and fly genomes that show highly occupied targets (or HOT) regions where DNA was bound by more than 15 of the transcription factors analyzed and the expression of related genes were characterized. Overall, the studies provide insights into the organization, structure, and function of the two genomes and provide basic information needed to guide and correlate both focused and genome-wide studies. The Drosophila modENCODE project demonstrates the functional regulatory network of flies. To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.


Proceedings of the National Academy of Sciences of the United States of America | 2008

Tools for neuroanatomy and neurogenetics in Drosophila

Barret D. Pfeiffer; Arnim Jenett; Ann S. Hammonds; Teri-T B. Ngo; Sima Misra; Christine Murphy; Audra Scully; Joseph W. Carlson; Kenneth H. Wan; Todd R. Laverty; Christopher J. Mungall; Rob Svirskas; James T. Kadonaga; Chris Q. Doe; Michael B. Eisen; Susan E. Celniker; Gerald M. Rubin

We demonstrate the feasibility of generating thousands of transgenic Drosophila melanogaster lines in which the expression of an exogenous gene is reproducibly directed to distinct small subsets of cells in the adult brain. We expect the expression patterns produced by the collection of 5,000 lines that we are currently generating to encompass all neurons in the brain in a variety of intersecting patterns. Overlapping 3-kb DNA fragments from the flanking noncoding and intronic regions of genes thought to have patterned expression in the adult brain were inserted into a defined genomic location by site-specific recombination. These fragments were then assayed for their ability to function as transcriptional enhancers in conjunction with a synthetic core promoter designed to work with a wide variety of enhancer types. An analysis of 44 fragments from four genes found that >80% drive expression patterns in the brain; the observed patterns were, on average, comprised of <100 cells. Our results suggest that the D. melanogaster genome contains >50,000 enhancers and that multiple enhancers drive distinct subsets of expression of a gene in each tissue and developmental stage. We expect that these lines will be valuable tools for neuroanatomy as well as for the elucidation of neuronal circuits and information flow in the fly brain.


Cell | 2011

A Protein Complex Network of Drosophila melanogaster

K. G. Guruharsha; Jean François Rual; Bo Zhai; Julian Mintseris; Pujita Vaidya; Namita Vaidya; Chapman Beekman; Christina Y. Wong; David Y. Rhee; Odise Cenaj; Emily McKillip; Saumini Shah; Mark Stapleton; Kenneth H. Wan; Charles Yu; Bayan Parsa; Joseph W. Carlson; Xiao Chen; Bhaveen Kapadia; K. VijayRaghavan; Steven P. Gygi; Susan E. Celniker; Robert A. Obar; Spyros Artavanis-Tsakonas

Determining the composition of protein complexes is an essential step toward understanding the cell as an integrated system. Using coaffinity purification coupled to mass spectrometry analysis, we examined protein associations involving nearly 5,000 individual, FLAG-HA epitope-tagged Drosophila proteins. Stringent analysis of these data, based on a statistical framework designed to define individual protein-protein interactions, led to the generation of a Drosophila protein interaction map (DPiM) encompassing 556 protein complexes. The high quality of the DPiM and its usefulness as a paradigm for metazoan proteomes are apparent from the recovery of many known complexes, significant enrichment for shared functional attributes, and validation in human cells. The DPiM defines potential novel members for several important protein complexes and assigns functional links to 586 protein-coding genes lacking previous experimental annotation. The DPiM represents, to our knowledge, the largest metazoan protein complex map and provides a valuable resource for analysis of protein complex evolution.


Genome Biology | 2002

Finishing a whole-genome shotgun: Release 3 of the Drosophila melanogaster euchromatic genome sequence

Susan E. Celniker; David A. Wheeler; Brent Kronmiller; Joseph W. Carlson; Aaron L. Halpern; Sandeep Patel; Mark D. Adams; Mark Champe; Shannon Dugan; Erwin Frise; Ann Hodgson; Reed A. George; Roger A. Hoskins; Todd R. Laverty; Donna M. Muzny; Catherine R. Nelson; Joanne Pacleb; Soo Park; Barret D. Pfeiffer; Stephen Richards; Erica Sodergren; Robert Svirskas; Paul E. Tabor; Kenneth H. Wan; Mark Stapleton; Granger Sutton; Craig Venter; George M. Weinstock; Steven E. Scherer; Eugene W. Myers

BackgroundThe Drosophila melanogaster genome was the first metazoan genome to have been sequenced by the whole-genome shotgun (WGS) method. Two issues relating to this achievement were widely debated in the genomics community: how correct is the sequence with respect to base-pair (bp) accuracy and frequency of assembly errors? And, how difficult is it to bring a WGS sequence to the accepted standard for finished sequence? We are now in a position to answer these questions.ResultsOur finishing process was designed to close gaps, improve sequence quality and validate the assembly. Sequence traces derived from the WGS and draft sequencing of individual bacterial artificial chromosomes (BACs) were assembled into BAC-sized segments. These segments were brought to high quality, and then joined to constitute the sequence of each chromosome arm. Overall assembly was verified by comparison to a physical map of fingerprinted BAC clones. In the current version of the 116.9 Mb euchromatic genome, called Release 3, the six euchromatic chromosome arms are represented by 13 scaffolds with a total of 37 sequence gaps. We compared Release 3 to Release 2; in autosomal regions of unique sequence, the error rate of Release 2 was one in 20,000 bp.ConclusionsThe WGS strategy can efficiently produce a high-quality sequence of a metazoan genome while generating the reagents required for sequence finishing. However, the initial method of repeat assembly was flawed. The sequence we report here, Release 3, is a reliable resource for molecular genetic experimentation and computational analysis.


Nature Methods | 2009

Versatile P(acman) BAC Libraries for Transgenesis Studies in Drosophila melanogaster

Koen J. T. Venken; Joseph W. Carlson; Karen L. Schulze; Hongling Pan; Yuchun He; Rebecca Spokony; Kenneth H. Wan; Maxim Koriabine; Pieter J. de Jong; Kevin P. White; Hugo J. Bellen; Roger A. Hoskins

We constructed Drosophila melanogaster bacterial artificial chromosome libraries with 21-kilobase and 83-kilobase inserts in the P[acman] system. We mapped clones representing 12-fold coverage and encompassing more than 95% of annotated genes onto the reference genome. These clones can be integrated into predetermined attP sites in the genome using ΦC31 integrase to rescue mutations. They can be modified through recombineering, for example, to incorporate protein tags and assess expression patterns.


Nature | 2014

Diversity and dynamics of the Drosophila transcriptome

James B. Brown; Nathan Boley; Robert C. Eisman; Gemma May; Marcus H. Stoiber; Michael O. Duff; Ben W. Booth; Jiayu Wen; Soo Park; Ana Maria Suzuki; Kenneth H. Wan; Charles Yu; Dayu Zhang; Joseph W. Carlson; Lucy Cherbas; Brian D. Eads; David J. Miller; Keithanne Mockaitis; Johnny Roberts; Carrie A. Davis; Erwin Frise; Ann S. Hammonds; Sara H. Olson; Sol Shenker; David Sturgill; Anastasia A. Samsonova; Richard Weiszmann; Garret Robinson; Juan Hernandez; Justen Andrews

Animal transcriptomes are dynamic, with each cell type, tissue and organ system expressing an ensemble of transcript isoforms that give rise to substantial diversity. Here we have identified new genes, transcripts and proteins using poly(A)+ RNA sequencing from Drosophila melanogaster in cultured cell lines, dissected organ systems and under environmental perturbations. We found that a small set of mostly neural-specific genes has the potential to encode thousands of transcripts each through extensive alternative promoter usage and RNA splicing. The magnitudes of splicing changes are larger between tissues than between developmental stages, and most sex-specific splicing is gonad-specific. Gonads express hundreds of previously unknown coding and long non-coding RNAs (lncRNAs), some of which are antisense to protein-coding genes and produce short regulatory RNAs. Furthermore, previously identified pervasive intergenic transcription occurs primarily within newly identified introns. The fly transcriptome is substantially more complex than previously recognized, with this complexity arising from combinatorial usage of promoters, splice sites and polyadenylation sites.


Science | 2007

Sequence Finishing and Mapping of Drosophila melanogaster Heterochromatin

Roger A. Hoskins; Joseph W. Carlson; Cameron Kennedy; David Acevedo; Martha Evans-Holm; Erwin Frise; Kenneth H. Wan; Soo Park; Maria Mendez-Lago; Fabrizio Rossi; Alfredo Villasante; Patrizio Dimitri; Gary H. Karpen; Susan E. Celniker

Genome sequences for most metazoans and plants are incomplete because of the presence of repeated DNA in the heterochromatin. The heterochromatic regions of Drosophila melanogaster contain 20 million bases (Mb) of sequence amenable to mapping, sequence assembly, and finishing. We describe the generation of 15 Mb of finished or improved heterochromatic sequence with the use of available clone resources and assembly methods. We also constructed a bacterial artificial chromosome–based physical map that spans 13 Mb of the pericentromeric heterochromatin and a cytogenetic map that positions 11 Mb in specific chromosomal locations. We have approached a complete assembly and mapping of the nonsatellite component of Drosophila heterochromatin. The strategy we describe is also applicable to generating substantially more information about heterochromatin in other species, including humans.


Nature | 2014

Comparative analysis of the transcriptome across distant species.

Mark Gerstein; Joel Rozowsky; Koon Kiu Yan; Daifeng Wang; Chao Cheng; James B. Brown; Carrie A. Davis; LaDeana W. Hillier; Cristina Sisu; Jingyi Jessica Li; Baikang Pei; Arif Harmanci; Michael O. Duff; Sarah Djebali; Roger P. Alexander; Burak H. Alver; Raymond K. Auerbach; Kimberly Bell; Peter J. Bickel; Max E. Boeck; Nathan Boley; Benjamin W. Booth; Lucy Cherbas; Peter Cherbas; Chao Di; Alexander Dobin; Jorg Drenkow; Brent Ewing; Gang Fang; Megan Fastuca

The transcriptome is the readout of the genome. Identifying common features in it across distant species can reveal fundamental principles. To this end, the ENCODE and modENCODE consortia have generated large amounts of matched RNA-sequencing data for human, worm and fly. Uniform processing and comprehensive annotation of these data allow comparison across metazoan phyla, extending beyond earlier within-phylum transcriptome comparisons and revealing ancient, conserved features. Specifically, we discover co-expression modules shared across animals, many of which are enriched in developmental genes. Moreover, we use expression patterns to align the stages in worm and fly development and find a novel pairing between worm embryo and fly pupae, in addition to the embryo-to-embryo and larvae-to-larvae pairings. Furthermore, we find that the extent of non-canonical, non-coding transcription is similar in each organism, per base pair. Finally, we find in all three organisms that the gene-expression levels, both coding and non-coding, can be quantitatively predicted from chromatin features at the promoter using a ‘universal model’ based on a single set of organism-independent parameters.


Genome Research | 2011

Genome-wide analysis of promoter architecture in Drosophila melanogaster

Roger A. Hoskins; Jane M. Landolin; James B. Brown; Jeremy E. Sandler; Hazuki Takahashi; Timo Lassmann; Charles Yu; Benjamin W. Booth; Dayu Zhang; Kenneth H. Wan; Li Yang; Nathan Boley; Justen Andrews; Thomas C. Kaufman; Brenton R. Graveley; Peter J. Bickel; Piero Carninci; Joseph W. Carlson; Susan E. Celniker

Core promoters are critical regions for gene regulation in higher eukaryotes. However, the boundaries of promoter regions, the relative rates of initiation at the transcription start sites (TSSs) distributed within them, and the functional significance of promoter architecture remain poorly understood. We produced a high-resolution map of promoters active in the Drosophila melanogaster embryo by integrating data from three independent and complementary methods: 21 million cap analysis of gene expression (CAGE) tags, 1.2 million RNA ligase mediated rapid amplification of cDNA ends (RLM-RACE) reads, and 50,000 cap-trapped expressed sequence tags (ESTs). We defined 12,454 promoters of 8037 genes. Our analysis indicates that, due to non-promoter-associated RNA background signal, previous studies have likely overestimated the number of promoter-associated CAGE clusters by fivefold. We show that TSS distributions form a complex continuum of shapes, and that promoters active in the embryo and adult have highly similar shapes in 95% of cases. This suggests that these distributions are generally determined by static elements such as local DNA sequence and are not modulated by dynamic signals such as histone modifications. Transcription factor binding motifs are differentially enriched as a function of promoter shape, and peaked promoter shape is correlated with both temporal and spatial regulation of gene expression. Our results contribute to the emerging view that core promoters are functionally diverse and control patterning of gene expression in Drosophila and mammals.

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Susan E. Celniker

Lawrence Berkeley National Laboratory

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Joseph W. Carlson

Lawrence Berkeley National Laboratory

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Charles Yu

Lawrence Berkeley National Laboratory

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Roger A. Hoskins

Lawrence Berkeley National Laboratory

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Soo Park

Lawrence Berkeley National Laboratory

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Ann S. Hammonds

Lawrence Berkeley National Laboratory

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Benjamin W. Booth

Lawrence Berkeley National Laboratory

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Reed A. George

Lawrence Berkeley National Laboratory

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James B. Brown

University of California

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Mark Stapleton

Lawrence Berkeley National Laboratory

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