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Dive into the research topics where Brian Oliver is active.

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Featured researches published by Brian Oliver.


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.


BMC Biology | 2011

Microarrays, deep sequencing and the true measure of the transcriptome

John H. Malone; Brian Oliver

Microarrays first made the analysis of the transcriptome possible, and have produced much important information. Today, however, researchers are increasingly turning to direct high-throughput sequencing - RNA-Seq - which has considerable advantages for examining transcriptome fine structure - for example in the detection of allele-specific expression and splice junctions. In this article, we discuss the relative merits of the two techniques, the inherent biases in each, and whether all of the vast body of array work needs to be revisited using the newer technology. We conclude that microarrays remain useful and accurate tools for measuring expression levels, and RNA-Seq complements and extends microarray measurements.


Journal of Biological Chemistry | 2002

Functional Conservation for Lipid Storage Droplet Association among Perilipin, ADRP, and TIP47 (PAT)-related Proteins in Mammals,Drosophila, and Dictyostelium

Shinji Miura; Jaiwei Gan; Joseph A. Brzostowski; Michael Parisi; Charles J. Schultz; Constantine Londos; Brian Oliver; Alan R. Kimmel

Intracellular neutral lipid storage droplets are essential organelles of eukaryotic cells, yet little is known about the proteins at their surfaces or about the amino acid sequences that target proteins to these storage droplets. The mammalian proteins Perilipin, ADRP, and TIP47 share extensive amino acid sequence similarity, suggesting a common function. However, while Perilipin and ADRP localize exclusively to neutral lipid storage droplets, an association of TIP47 with intracellular lipid droplets has been controversial. We now show that GFP-tagged TIP47 co-localizes with isolated intracellular lipid droplets. We have also detected a close juxtaposition of TIP47 with the surfaces of lipid storage droplets using antibodies that specifically recognize TIP47, further indicating that TIP47 associates with intracellular lipid storage droplets. Finally, we show that related proteins from species as diverse asDrosophila and Dictyostelium can also target mammalian or Drosophila lipid droplet surfaces in vivo. Thus, sequence and/or structural elements within this evolutionarily ancient protein family are necessary and sufficient to direct association to heterologous intracellular lipid droplet surfaces, strongly indicating that they have a common function for lipid deposition and/or mobilization.


Genome Research | 2011

Synthetic spike-in standards for RNA-seq experiments

Lichun Jiang; Felix Schlesinger; Carrie A. Davis; Yu Zhang; Renhua Li; Marc L. Salit; Thomas R. Gingeras; Brian Oliver

High-throughput sequencing of cDNA (RNA-seq) is a widely deployed transcriptome profiling and annotation technique, but questions about the performance of different protocols and platforms remain. We used a newly developed pool of 96 synthetic RNAs with various lengths, and GC content covering a 2(20) concentration range as spike-in controls to measure sensitivity, accuracy, and biases in RNA-seq experiments as well as to derive standard curves for quantifying the abundance of transcripts. We observed linearity between read density and RNA input over the entire detection range and excellent agreement between replicates, but we observed significantly larger imprecision than expected under pure Poisson sampling errors. We use the control RNAs to directly measure reproducible protocol-dependent biases due to GC content and transcript length as well as stereotypic heterogeneity in coverage across transcripts correlated with position relative to RNA termini and priming sequence bias. These effects lead to biased quantification for short transcripts and individual exons, which is a serious problem for measurements of isoform abundances, but that can partially be corrected using appropriate models of bias. By using the control RNAs, we derive limits for the discovery and detection of rare transcripts in RNA-seq experiments. By using data collected as part of the model organism and human Encyclopedia of DNA Elements projects (ENCODE and modENCODE), we demonstrate that external RNA controls are a useful resource for evaluating sensitivity and accuracy of RNA-seq experiments for transcriptome discovery and quantification. These quality metrics facilitate comparable analysis across different samples, protocols, and platforms.


Nature | 2007

Constraint and turnover in sex-biased gene expression in the genus Drosophila

Yu Zhang; David Sturgill; Michael Parisi; Sudhir Kumar; Brian Oliver

Both genome content and deployment contribute to phenotypic differences between species. Sex is the most important difference between individuals in a species and has long been posited to be rapidly evolving. Indeed, in the Drosophila genus, traits such as sperm length, genitalia, and gonad size are the most obvious differences between species. Comparative analysis of sex-biased expression should deepen our understanding of the relationship between genome content and deployment during evolution. Using existing and newly assembled genomes, we designed species-specific microarrays to examine sex-biased expression of orthologues and species-restricted genes in D. melanogaster, D. simulans, D. yakuba, D. ananassae, D. pseudoobscura, D. virilis and D. mojavensis. We show that averaged sex-biased expression changes accumulate monotonically over time within the genus. However, different genes contribute to expression variance within species groups compared to between groups. We observed greater turnover of species-restricted genes with male-biased expression, indicating that gene formation and extinction may play a significant part in species differences. Genes with male-biased expression also show the greatest expression and DNA sequence divergence. This higher divergence and turnover of genes with male-biased expression may be due to high transcription rates in the male germline, greater functional pleiotropy of genes expressed in females, and/or sexual competition.


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.


Genome Biology | 2004

A survey of ovary-, testis-, and soma-biased gene expression in Drosophila melanogaster adults

Michael Parisi; Rachel Nuttall; Pamela Edwards; James Minor; Daniel Q. Naiman; Jining Lü; Michael H. Doctolero; Marina Vainer; Cathy Chan; James D. Malley; P. Scott Eastman; Brian Oliver

BackgroundSexual dimorphism results in the formation of two types of individuals with specialized reproductive roles and is most evident in the germ cells and gonads.ResultsWe have undertaken a global analysis of transcription between the sexes using a 31,464 element FlyGEM microarray to determine what fraction of the genome shows sex-biased expression, what tissues express these genes, the predicted functions of these genes, and where these genes map onto the genome. Females and males (both with and without gonads), dissected testis and ovary, females and males with genetically ablated germlines, and sex-transformed flies were sampled.ConclusionsUsing any of a number of criteria, we find extensive sex-biased expression in adults. The majority of cases of sex differential gene expression are attributable to the germ cells. There is also a large class of genes with soma-biased expression. There is little germline-biased expression indicating that nearly all genes with germline expression also show sex-bias. Monte Carlo simulations show that some genes with sex-biased expression are non-randomly distributed in the genome.


PLOS Biology | 2008

COPI complex is a regulator of lipid homeostasis.

Mathias Beller; Carole Sztalryd; Noel Southall; Ming Bell; Herbert Jäckle; Douglas S. Auld; Brian Oliver

Lipid droplets are ubiquitous triglyceride and sterol ester storage organelles required for energy storage homeostasis and biosynthesis. Although little is known about lipid droplet formation and regulation, it is clear that members of the PAT (perilipin, adipocyte differentiation related protein, tail interacting protein of 47 kDa) protein family coat the droplet surface and mediate interactions with lipases that remobilize the stored lipids. We identified key Drosophila candidate genes for lipid droplet regulation by RNA interference (RNAi) screening with an image segmentation-based optical read-out system, and show that these regulatory functions are conserved in the mouse. Those include the vesicle-mediated Coat Protein Complex I (COPI) transport complex, which is required for limiting lipid storage. We found that COPI components regulate the PAT protein composition at the lipid droplet surface, and promote the association of adipocyte triglyceride lipase (ATGL) with the lipid droplet surface to mediate lipolysis. Two compounds known to inhibit COPI function, Exo1 and Brefeldin A, phenocopy COPI knockdowns. Furthermore, RNAi inhibition of ATGL and simultaneous drug treatment indicate that COPI and ATGL function in the same pathway. These data indicate that the COPI complex is an evolutionarily conserved regulator of lipid homeostasis, and highlight an interaction between vesicle transport systems and lipid droplets.


Trends in Genetics | 2008

Evolution of protein-coding genes in Drosophila

Amanda M. Larracuente; Timothy B. Sackton; Anthony J. Greenberg; Alex Wong; Nadia D. Singh; David Sturgill; Yu Zhang; Brian Oliver; Andrew G. Clark

Several contributing factors have been implicated in evolutionary rate heterogeneity among proteins, but their evolutionary mechanisms remain poorly characterized. The recently sequenced 12 Drosophila genomes provide a unique opportunity to shed light on these unresolved issues. Here, we focus on the role of natural selection in shaping evolutionary rates. We use the Drosophila genomic data to distinguish between factors that increase the strength of purifying selection on proteins and factors that affect the amount of positive selection experienced by proteins. We confirm the importance of translational selection in shaping protein evolution in Drosophila and show that factors such as tissue bias in expression, gene essentiality, intron number, and recombination rate also contribute to evolutionary rate variation among proteins.


Nature | 2007

Demasculinization of X chromosomes in the Drosophila genus

David Sturgill; Yu Zhang; Michael Parisi; Brian Oliver

X chromosomes evolve differently from autosomes, but general governing principles have not emerged. For example, genes with male-biased expression are under-represented on the X chromosome of D. melanogaster, but are randomly distributed in the genome of Anopheles gambiae. In direct global profiling experiments using species-specific microarrays, we find a nearly identical paucity of genes with male-biased expression on D. melanogaster, D. simulans, D. yakuba, D. ananassae, D. virilis and D. mojavensis X chromosomes. We observe the same under-representation on the neo-X of D. pseudoobscura. It has been suggested that precocious meiotic silencing of the X chromosome accounts for reduced X chromosome male-biased expression in nematodes, mammals and Drosophila. We show that X chromosome genes with male-biased expression are under-represented in somatic cells and in mitotic male germ cells. These data are incompatible with simple X chromosome inactivation models. Using expression profiling and comparative sequence analysis, we show that selective gene extinction on the X chromosome, creation of new genes on autosomes and changed genomic location of existing genes contribute to the unusual X chromosome gene content.

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Janette K. Burgess

Woolcock Institute of Medical Research

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Judith L. Black

Woolcock Institute of Medical Research

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Lyn M. Moir

Woolcock Institute of Medical Research

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Qi Ge

Woolcock Institute of Medical Research

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David Sturgill

National Institutes of Health

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Francesca Tang

Woolcock Institute of Medical Research

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Gavin Tjin

Woolcock Institute of Medical Research

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Michael Parisi

National Institutes of Health

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Jl Black

Woolcock Institute of Medical Research

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