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ABSTRACT: In higher eukaryotes, most mRNAs that encode secreted or membrane-bound proteins contain elements that promote an alternative mRNA nuclear export (ALREX) pathway. Here we report that ALREX-promoting elements also potentiate translation in the presence of upstream nuclear factors. These RNA elements interact directly with, and likely co-evolved with, the zinc finger repeats of RanBP2/Nup358, which is present on the cytoplasmic face of the nuclear pore. Finally we show that RanBP2/Nup358 is not only required for the stimulation of translation by ALREX-promoting elements, but is also required for the efficient global synthesis of proteins targeted to the endoplasmic reticulum (ER) and likely the mitochondria. Thus upon the completion of export, mRNAs containing ALREX-elements likely interact with RanBP2/Nup358, and this step is required for the efficient translation of these mRNAs in the cytoplasm. ALREX-elements thus act as nucleotide platforms to coordinate various steps of post-transcriptional regulation for the majority of mRNAs that encode secreted proteins.
PLoS Biology 04/2013; 11(4):e1001545. · 11.45 Impact Factor
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ABSTRACT: Current web-based genome browsers require repetitious user input to scroll over long distances, alter the drawing density of elements, or zoom through multiple orders of magnitude. Generally, either the server or the client is responsible for the majority of data processing, resulting in either servers having to receive and handle data relevant only to one user, or clients redundantly processing widely viewed data. ChromoZoom pre-renders and caches general-use tracks into tiled images on the server and serves them in an interactive web interface with inertial scrolling and precise, fluent zooming via the mouse wheel or trackpad. Custom tracks in several formats can be rendered by client-side code alongside the pre-rendered tracks, minimizing server load due to user-specific rendering and eliminating the need to transmit private data. ChromoZoom thereby enables rapid and simultaneous exploration of curated, experimental, and personal genomic datasets. AVAILABILITY: Human and yeast genome researchers may browse recent assemblies within ChromoZoom at http://chromozoom.org/. Source code is available at http://github.com/rothlab/chromozoom/. CONTACT: fritz.roth@utoronto.ca SUPPLEMENTARY INFORMATION: Table S1 provides a comparison of features with other current web-based genome browsers.
Bioinformatics 12/2012; · 5.47 Impact Factor
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ABSTRACT: Although introns in 5'- and 3'-untranslated regions (UTRs) are found in many protein coding genes, rarely are they considered distinctive entities with specific functions. Indeed, mammalian transcripts with 3'-UTR introns are often assumed nonfunctional because they are subject to elimination by nonsense-mediated decay (NMD). Nonetheless, recent findings indicate that 5'- and 3'-UTR intron status is of significant functional consequence for the regulation of mammalian genes. Therefore these features should be ignored no longer.
BioEssays 10/2012; · 4.95 Impact Factor
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Orit Rozenblatt-Rosen,
Rahul C Deo,
Megha Padi,
Guillaume Adelmant,
Michael A Calderwood,
Thomas Rolland,
Miranda Grace,
Amélie Dricot,
Manor Askenazi,
Maria Tavares, [......],
Rameen Beroukhim,
Elliott Kieff,
Michael E Cusick,
David E Hill,
Karl Münger,
Jarrod A Marto,
John Quackenbush, Frederick P Roth,
James A DeCaprio,
Marc Vidal
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ABSTRACT: Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations, and large numbers of somatic genomic alterations, associated with a predisposition to cancer. However, it remains difficult to distinguish background, or 'passenger', cancer mutations from causal, or 'driver', mutations in these data sets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations. Here we test the hypothesis that genomic variations and tumour viruses may cause cancer through related mechanisms, by systematically examining host interactome and transcriptome network perturbations caused by DNA tumour virus proteins. The resulting integrated viral perturbation data reflects rewiring of the host cell networks, and highlights pathways, such as Notch signalling and apoptosis, that go awry in cancer. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on a par with their identification through functional genomics and large-scale cataloguing of tumour mutations. Together, these complementary approaches increase the specificity of cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate the prioritization of cancer-causing driver genes to advance the understanding of the genetic basis of human cancer.
Nature 07/2012; 487(7408):491-5. · 36.28 Impact Factor
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ABSTRACT: Genetic screens of the collection of ∼4500 deletion mutants in Saccharomyces cerevisiae have identified the cohort of nonessential genes that promote maintenance of genome integrity. Here we probe the role of essential genes needed for genome stability. To this end, we screened 217 tetracycline-regulated promoter alleles of essential genes and identified 47 genes whose depletion results in spontaneous DNA damage. We further showed that 92 of these 217 essential genes have a role in suppressing chromosome rearrangements. We identified a core set of 15 genes involved in DNA replication that are critical in preventing both spontaneous DNA damage and genome rearrangements. Mapping, classification, and analysis of rearrangement breakpoints indicated that yeast fragile sites, Ty retrotransposons, tRNA genes, early origins of replication, and replication termination sites are common features at breakpoints when essential replication genes that suppress chromosome rearrangements are downregulated. We propose mechanisms by which depletion of essential replication proteins can lead to double-stranded DNA breaks near these features, which are subsequently repaired by homologous recombination at repeated elements.
Genetics 06/2012; 192(1):147-60. · 4.01 Impact Factor
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Natali Gulbahce,
Han Yan,
Amélie Dricot,
Megha Padi,
Danielle Byrdsong,
Rachel Franchi,
Deok-Sun Lee,
Orit Rozenblatt-Rosen,
Jessica C Mar,
Michael A Calderwood, [......],
Elliott Kieff, Frederick P Roth,
Jennifer Roecklein-Canfield,
James A Decaprio,
Michael E Cusick,
John Quackenbush,
David E Hill,
Karl Münger,
Marc Vidal,
Albert-László Barabási
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ABSTRACT: Many human diseases, arising from mutations of disease susceptibility genes (genetic diseases), are also associated with viral infections (virally implicated diseases), either in a directly causal manner or by indirect associations. Here we examine whether viral perturbations of host interactome may underlie such virally implicated disease relationships. Using as models two different human viruses, Epstein-Barr virus (EBV) and human papillomavirus (HPV), we find that host targets of viral proteins reside in network proximity to products of disease susceptibility genes. Expression changes in virally implicated disease tissues and comorbidity patterns cluster significantly in the network vicinity of viral targets. The topological proximity found between cellular targets of viral proteins and disease genes was exploited to uncover a novel pathway linking HPV to Fanconi anemia.
PLoS Computational Biology 06/2012; 8(6):e1002531. · 5.22 Impact Factor
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BioEssays 03/2012; 34(7):576-7. · 4.95 Impact Factor
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ABSTRACT: The body of human genomic and proteomic evidence continues to grow at ever-increasing rates, while annotation efforts struggle to keep pace. A surprisingly small fraction of human genes have clear, documented associations with specific functions, and new functions continue to be found for characterized genes. Here we assembled an integrated collection of diverse genomic and proteomic data for 21,341 human genes and make quantitative associations of each to 4333 Gene Ontology terms. We combined guilt-by-profiling and guilt-by-association approaches to exploit features unique to the data types. Performance was evaluated by cross-validation, prospective validation, and by manual evaluation with the biological literature. Functional-linkage networks were also constructed, and their utility was demonstrated by identifying candidate genes related to a glioma FLN using a seed network from genome-wide association studies. Our annotations are presented-alongside existing validated annotations-in a publicly accessible and searchable web interface.
G3 (Bethesda, Md.). 02/2012; 2(2):223-33.
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ABSTRACT: Plants have unique features that evolved in response to their environments and ecosystems. A full account of the complex cellular networks that underlie plant-specific functions is still missing. We describe a proteome-wide binary protein-protein interaction map for the interactome network of the plant Arabidopsis thaliana containing about 6200 highly reliable interactions between about 2700 proteins. A global organization of plant biological processes emerges from community analyses of the resulting network, together with large numbers of novel hypothetical functional links between proteins and pathways. We observe a dynamic rewiring of interactions following gene duplication events, providing evidence for a model of evolution acting upon interactome networks. This and future plant interactome maps should facilitate systems approaches to better understand plant biology and improve crops.
Science 07/2011; 333(6042):601 - 606. · 31.20 Impact Factor
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M Shahid Mukhtar,
Anne-Ruxandra Carvunis,
Matija Dreze,
Petra Epple,
Jens Steinbrenner,
Jonathan Moore,
Murat Tasan,
Mary Galli,
Tong Hao,
Marc T Nishimura, [......],
Huaming Chen,
Yijian He,
Jean Vandenhaute, Frederick P Roth,
David E Hill,
Joseph R Ecker,
Marc Vidal,
Jim Beynon,
Pascal Braun,
Jeffery L Dangl
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ABSTRACT: Plants generate effective responses to infection by recognizing both conserved and variable pathogen-encoded molecules. Pathogens deploy virulence effector proteins into host cells, where they interact physically with host proteins to modulate defense. We generated an interaction network of plant-pathogen effectors from two pathogens spanning the eukaryote-eubacteria divergence, three classes of Arabidopsis immune system proteins, and ~8000 other Arabidopsis proteins. We noted convergence of effectors onto highly interconnected host proteins and indirect, rather than direct, connections between effectors and plant immune receptors. We demonstrated plant immune system functions for 15 of 17 tested host proteins that interact with effectors from both pathogens. Thus, pathogens from different kingdoms deploy independently evolved virulence proteins that interact with a limited set of highly connected cellular hubs to facilitate their diverse life-cycle strategies.
Science 07/2011; 333(6042):596-601. · 31.20 Impact Factor
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Haiyuan Yu,
Leah Tardivo,
Stanley Tam,
Evan Weiner,
Fana Gebreab,
Changyu Fan,
Nenad Svrzikapa,
Tomoko Hirozane-Kishikawa,
Edward Rietman,
Xinping Yang,
Julie Sahalie,
Kourosh Salehi-Ashtiani,
Tong Hao,
Michael E Cusick,
David E Hill, Frederick P Roth,
Pascal Braun,
Marc Vidal
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ABSTRACT: Next-generation sequencing has not been applied to protein-protein interactome network mapping so far because the association between the members of each interacting pair would not be maintained in en masse sequencing. We describe a massively parallel interactome-mapping pipeline, Stitch-seq, that combines PCR stitching with next-generation sequencing and used it to generate a new human interactome dataset. Stitch-seq is applicable to various interaction assays and should help expand interactome network mapping.
Nature Methods 06/2011; 8(6):478-80. · 19.28 Impact Factor
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ABSTRACT: Computational systems biology is empowering the study of drug action. Studies on biological effects of chemical compounds have increased in scale and accessibility, allowing integration with other large-scale experimental data types. Here, we review computational approaches for elucidating the mechanisms of both intended and undesirable effects of drugs, with the collective potential to change the nature of drug discovery and pharmacological therapy.
Journal of Biological Chemistry 05/2011; 286(27):23653-8. · 4.77 Impact Factor
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ABSTRACT: In higher eukaryotes, messenger RNAs (mRNAs) are exported from the nucleus to the cytoplasm via factors deposited near the 5' end of the transcript during splicing. The signal sequence coding region (SSCR) can support an alternative mRNA export (ALREX) pathway that does not require splicing. However, most SSCR-containing genes also have introns, so the interplay between these export mechanisms remains unclear. Here we support a model in which the furthest upstream element in a given transcript, be it an intron or an ALREX-promoting SSCR, dictates the mRNA export pathway used. We also experimentally demonstrate that nuclear-encoded mitochondrial genes can use the ALREX pathway. Thus, ALREX can also be supported by nucleotide signals within mitochondrial-targeting sequence coding regions (MSCRs). Finally, we identified and experimentally verified novel motifs associated with the ALREX pathway that are shared by both SSCRs and MSCRs. Our results show strong correlation between 5' untranslated region (5'UTR) intron presence/absence and sequence features at the beginning of the coding region. They also suggest that genes encoding secretory and mitochondrial proteins share a common regulatory mechanism at the level of mRNA export.
PLoS Genetics 04/2011; 7(4):e1001366. · 8.69 Impact Factor
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Yo Suzuki,
Robert P St Onge,
Ramamurthy Mani,
Oliver D King,
Adrian Heilbut,
Vyacheslav M Labunskyy,
Weidong Chen,
Linda Pham,
Lan V Zhang,
Amy H Y Tong,
Corey Nislow,
Guri Giaever,
Vadim N Gladyshev,
Marc Vidal,
Peter Schow,
Joseph Lehár, Frederick P Roth
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ABSTRACT: Phenotypes that might otherwise reveal a gene's function can be obscured by genes with overlapping function. This phenomenon is best known within gene families, in which an important shared function may only be revealed by mutating all family members. Here we describe the 'green monster' technology that enables precise deletion of many genes. In this method, a population of deletion strains with each deletion marked by an inducible green fluorescent protein reporter gene, is subjected to repeated rounds of mating, meiosis and flow-cytometric enrichment. This results in the aggregation of multiple deletion loci in single cells. The green monster strategy is potentially applicable to assembling other engineered alterations in any species with sex or alternative means of allelic assortment. To test the technology, we generated a single broadly drug-sensitive strain of Saccharomyces cerevisiae bearing precise deletions of all 16 ATP-binding cassette transporters within clades associated with multidrug resistance.
Nature Methods 02/2011; 8(2):159-64. · 19.28 Impact Factor
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ABSTRACT: Although RNA-mediated interference (RNAi) is a widely conserved process among eukaryotes, including many fungi, it is absent from the budding yeast Saccharomyces cerevisiae. Three human proteins, Ago2, Dicer and TRBP, are sufficient for reconstituting the RISC complex in vitro. To examine whether the introduction of human RNAi genes can reconstitute RNAi in S. cerevisiae, genes encoding these three human proteins were introduced into S. cerevisiae. We observed both siRNA and siRNA- and RISC-dependent silencing of the target gene GFP. Thus, human Ago2, Dicer and TRBP can functionally reconstitute human RNAi in S. cerevisiae, in vivo, enabling the study and use of the human RNAi pathway in a facile genetic model organism.
Nucleic Acids Research 01/2011; 39(7):e43. · 8.03 Impact Factor
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Murat Cokol,
Hon Nian Chua,
Murat Tasan,
Beste Mutlu,
Zohar B Weinstein,
Yo Suzuki,
Mehmet E Nergiz,
Michael Costanzo,
Anastasia Baryshnikova,
Guri Giaever,
Corey Nislow,
Chad L Myers,
Brenda J Andrews,
Charles Boone, Frederick P Roth
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ABSTRACT: Drug synergy allows a therapeutic effect to be achieved with lower doses of component drugs. Drug synergy can result when drugs target the products of genes that act in parallel pathways ('specific synergy'). Such cases of drug synergy should tend to correspond to synergistic genetic interaction between the corresponding target genes. Alternatively, 'promiscuous synergy' can arise when one drug non-specifically increases the effects of many other drugs, for example, by increased bioavailability. To assess the relative abundance of these drug synergy types, we examined 200 pairs of antifungal drugs in S. cerevisiae. We found 38 antifungal synergies, 37 of which were novel. While 14 cases of drug synergy corresponded to genetic interaction, 92% of the synergies we discovered involved only six frequently synergistic drugs. Although promiscuity of four drugs can be explained under the bioavailability model, the promiscuity of Tacrolimus and Pentamidine was completely unexpected. While many drug synergies correspond to genetic interactions, the majority of drug synergies appear to result from non-specific promiscuous synergy.
Molecular Systems Biology 01/2011; 7:544. · 8.63 Impact Factor
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ABSTRACT: SUMMARY: Computational gene function prediction can serve to focus experimental resources on high-priority experimental tasks. FuncBase is a web resource for viewing quantitative machine learning-based gene function annotations. Quantitative annotations of genes, including fungal and mammalian genes, with Gene Ontology terms are accompanied by a community feedback system. Evidence underlying function annotations is shown. For example, a custom Cytoscape viewer shows functional linkage graphs relevant to the gene or function of interest. FuncBase provides links to external resources, and may be accessed directly or via links from species-specific databases. AVAILABILITY: FuncBase as well as all underlying data and annotations are freely available via http://func.med.harvard.edu/
Bioinformatics 07/2010; 26(14):1806-7. · 5.47 Impact Factor
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Gregory D Lewis,
Laurie Farrell,
Malissa J Wood,
Maryann Martinovic,
Zoltan Arany,
Glenn C Rowe,
Amanda Souza,
Susan Cheng,
Elizabeth L McCabe,
Elaine Yang, [......],
Aarti Asnani,
Eugene P Rhee,
David M Systrom,
Marc J Semigran,
Ramachandran S Vasan,
Steven A Carr,
Thomas J Wang,
Marc S Sabatine,
Clary B Clish,
Robert E Gerszten
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ABSTRACT: Exercise provides numerous salutary effects, but our understanding of how these occur is limited. To gain a clearer picture of exercise-induced metabolic responses, we have developed comprehensive plasma metabolite signatures by using mass spectrometry to measure >200 metabolites before and after exercise. We identified plasma indicators of glycogenolysis (glucose-6-phosphate), tricarboxylic acid cycle span 2 expansion (succinate, malate, and fumarate), and lipolysis (glycerol), as well as modulators of insulin sensitivity (niacinamide) and fatty acid oxidation (pantothenic acid). Metabolites that were highly correlated with fitness parameters were found in subjects undergoing acute exercise testing and marathon running and in 302 subjects from a longitudinal cohort study. Exercise-induced increases in glycerol were strongly related to fitness levels in normal individuals and were attenuated in subjects with myocardial ischemia. A combination of metabolites that increased in plasma in response to exercise (glycerol, niacinamide, glucose-6-phosphate, pantothenate, and succinate) up-regulated the expression of nur77, a transcriptional regulator of glucose utilization and lipid metabolism genes in skeletal muscle in vitro. Plasma metabolic profiles obtained during exercise provide signatures of exercise performance and cardiovascular disease susceptibility, in addition to highlighting molecular pathways that may modulate the salutary effects of exercise.
Science translational medicine 05/2010; 2(33):33ra37. · 7.80 Impact Factor
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ABSTRACT: Approximately 35% of human genes contain introns within the 5' untranslated region (UTR). Introns in 5'UTRs differ from those in coding regions and 3'UTRs with respect to nucleotide composition, length distribution and density. Despite their presumed impact on gene regulation, the evolution and possible functions of 5'UTR introns remain largely unexplored.
We performed a genome-scale computational analysis of 5'UTR introns in humans. We discovered that the most highly expressed genes tended to have short 5'UTR introns rather than having long 5'UTR introns or lacking 5'UTR introns entirely. Although we found no correlation in 5'UTR intron presence or length with variance in expression across tissues, which might have indicated a broad role in expression-regulation, we observed an uneven distribution of 5'UTR introns amongst genes in specific functional categories. In particular, genes with regulatory roles were surprisingly enriched in having 5'UTR introns. Finally, we analyzed the evolution of 5'UTR introns in non-receptor protein tyrosine kinases (NRTK), and identified a conserved DNA motif enriched within the 5'UTR introns of human NRTKs.
Our results suggest that human 5'UTR introns enhance the expression of some genes in a length-dependent manner. While many 5'UTR introns are likely to be evolving neutrally, their relationship with gene expression and overrepresentation among regulatory genes, taken together, suggest that complex evolutionary forces are acting on this distinct class of introns.
Genome biology 03/2010; 11(3):R29. · 6.63 Impact Factor
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ABSTRACT: Certain viruses use microRNAs (miRNAs) to regulate the expression of their own genes, host genes, or both. Previous studies have identified a limited number of miRNAs expressed by herpes simplex viruses 1 and 2 (HSV-1 and -2), some of which are conserved between these two viruses. To more comprehensively analyze the miRNAs expressed by HSV-1 or HSV-2 during productive and latent infection, we applied a massively parallel sequencing approach. We were able to identify 16 and 17 miRNAs expressed by HSV-1 and HSV-2, respectively, including all previously known species, and a number of previously unidentified virus-encoded miRNAs. The genomic positions of most miRNAs encoded by these two viruses are within or proximal to the latency-associated transcript region. Nine miRNAs are conserved in position and/or sequence, particularly in the seed region, between these two viruses. Interestingly, we did not detect an HSV-2 miRNA homolog of HSV-1 miR-H1, which is highly expressed during productive infection, but we did detect abundant expression of miR-H6, whose seed region is conserved with HSV-1 miR-H1 and might represent a functional analog. We also identified a highly conserved miRNA family arising from the viral origins of replication. In addition, we detected several pairs of complementary miRNAs and we found miRNA-offset RNAs (moRs) arising from the precursors of HSV-1 and HSV-2 miR-H6 and HSV-2 miR-H4. Our results reveal elements of miRNA conservation and divergence that should aid in identifying miRNA functions.
Journal of Virology 02/2010; 84(9):4659-72. · 5.40 Impact Factor
