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genome scale model

Amit Ghosh, David Ando, Jennifer Gin, Weerawat Runguphan, Charles Denby, George Wang, Edward E K Baidoo, Chris Shymansky, Jay D Keasling, Héctor García Martín
Efficient redirection of microbial metabolism into the abundant production of desired bioproducts remains non-trivial. Here, we used flux-based modeling approaches to improve yields of fatty acids in Saccharomyces cerevisiae. We combined (13)C labeling data with comprehensive genome-scale models to shed light onto microbial metabolism and improve metabolic engineering efforts. We concentrated on studying the balance of acetyl-CoA, a precursor metabolite for the biosynthesis of fatty acids. A genome-wide acetyl-CoA balance study showed ATP citrate lyase from Yarrowia lipolytica as a robust source of cytoplasmic acetyl-CoA and malate synthase as a desirable target for downregulation in terms of acetyl-CoA consumption...
2016: Frontiers in Bioengineering and Biotechnology
Hubo Li, Brenton G Mar, Huadi Zhang, Rishi V Puram, Francisca Vazquez, Barbara A Weir, William C Hahn, Benjamin Ebert, David Pellman
Acute myeloid leukemia (AML) is a heterogeneous disease with complex molecular pathophysiology. To systematically characterize AML's genetic dependencies, we conducted genome-scale shRNA screens in 17 AML cell lines and analyzed dependencies relative to parallel screens in 199 cell lines of other cancer types. We identified 353 genes specifically required for AML cell proliferation. To validate the in vivo relevance of genetic dependencies observed in human cell lines, we performed a secondary screen in a syngeneic murine AML model driven by the MLL-AF9 oncogenic fusion protein...
October 18, 2016: Blood
Maria Zhivagui, Michael Korenjak, Jiri Zavadil
Mutation spectra in cancer genomes provide information on the disease aetiology and the causality underlying the evolution and progression of cancer. Genome-wide mutation patterns reflect the effects of mutagenic insults and can thus reveal past carcinogen-specific exposures and inform hypotheses on the causative factors for specific cancer types. In order to identify mutation profiles in human cancers, single genes studies were first employed, focusing mainly on the tumour suppressor gene TP53. Furthermore, experimental studies had been developed in model organisms...
October 18, 2016: Basic & Clinical Pharmacology & Toxicology
James J Hsieh, David Chen, Patricia I Wang, Mahtab Marker, Almedina Redzematovic, Ying-Bei Chen, S Duygu Selcuklu, Nils Weinhold, Nancy Bouvier, Kety H Huberman, Umesh Bhanot, Michael S Chevinsky, Parul Patel, Patrizia Pinciroli, Helen H Won, Daoqi You, Agnes Viale, William Lee, A Ari Hakimi, Michael F Berger, Nicholas D Socci, Emily H Cheng, Jennifer Knox, Martin H Voss, Maurizio Voi, Robert J Motzer
BACKGROUND: Metastatic renal cell carcinoma (RCC) patients are commonly treated with vascular endothelial growth factor (VEGF) inhibitors or mammalian target of rapamycin inhibitors. Correlations between somatic mutations and first-line targeted therapy outcomes have not been reported on a randomized trial. OBJECTIVE: To evaluate the relationship between tumor mutations and treatment outcomes in RECORD-3, a randomized trial comparing first-line everolimus (mTOR inhibitor) followed by sunitinib (VEGF inhibitor) at progression with the opposite sequence in 471 metastatic RCC patients...
October 14, 2016: European Urology
Miguel Pinto, Vítor Borges, Minia Antelo, Miguel Pinheiro, Alexandra Nunes, Jacinta Azevedo, Maria José Borrego, Joana Mendonça, Dina Carpinteiro, Luís Vieira, João Paulo Gomes
Insights into the genomic adaptive traits of Treponema pallidum, the causative bacterium of syphilis, have long been hampered due to the absence of in vitro culture models and the constraints associated with its propagation in rabbits. Here, we have bypassed the culture bottleneck by means of a targeted strategy never applied to uncultivable bacterial human pathogens to directly capture whole-genome T. pallidum data in the context of human infection. This strategy has unveiled a scenario of discreet T. pallidum interstrain single-nucleotide-polymorphism-based microevolution, contrasting with a rampant within-patient genetic heterogeneity mainly targeting multiple phase-variable loci and a major antigen-coding gene (tprK)...
October 17, 2016: Nature Microbiology
Paul M Hime, Scott Hotaling, Richard E Grewelle, Eric M O'Neill, S Randal Voss, H Bradley Shaffer, David W Weisrock
Perhaps the most important recent advance in species delimitation has been the development of model-based approaches to objectively diagnose species diversity from genetic data. Additionally, the growing accessibility of next-generation sequence datasets provides powerful insights into genome-wide patterns of divergence during speciation. However, applying complex models to large datasets is time consuming and computationally costly, requiring careful consideration of the influence of both individual and population sampling, as well as the number and informativeness of loci on species delimitation conclusions...
October 17, 2016: Molecular Ecology
Hyun-Jin Kim, Jin-Young Min, Kyoung-Bok Min
OBJECTIVES: Central obesity plays a major role in the development of many chronic diseases, including cardiovascular disease and cancer. Chronic stress may be involved in the pathophysiology of central obesity. Although several large-scale genome-wide association studies have reported susceptibility genes for central adiposity, the effects of interactions between genes and psychosocial stress on central adiposity have rarely been examined. A recent study focusing on Caucasians discovered the novel gene early B-cell factor 1 (EBF1), which was associated with central obesity-related traits via interactions with stress levels...
September 2016: Journal of Preventive Medicine and Public Health, Yebang Ŭihakhoe Chi
Lauren Alpert Sugden, Sohini Ramachandran
Human population genomic studies have repeatedly observed a decrease in heterozygosity and an increase in linkage disequilibrium with geographic distance from Africa. While multiple demographic models can generate these patterns, many studies invoke the serial founder effect model, in which populations expand from a single origin and each new population's founders represent a subset of genetic variation in the previous population. The model assumes no admixture with archaic hominins, however, recent studies have identified loci in Homo sapiens bearing signatures of archaic introgression...
October 12, 2016: Current Opinion in Genetics & Development
M O Burford Reiskind, K Coyle, H V Daniels, P Labadie, M H Reiskind, N B Roberts, R B Roberts, J Schaff, E L Vargo
The generation of genome-scale data is critical for a wide range of questions in basic biology using model organisms, but also in questions of applied biology in nonmodel organisms (agriculture, natural resources, conservation and public health biology). Using a genome-scale approach on a diverse group of nonmodel organisms and with the goal of lowering costs of the method, we modified a multiplexed, high-throughput genomic scan technique utilizing two restriction enzymes. We analysed several pairs of restriction enzymes and completed double-digestion RAD sequencing libraries for nine different species and five genera of insects and fish...
November 2016: Molecular Ecology Resources
Samuel Corless, Nick Gilbert
Disruptions in chromatin structure are necessary for the regulation of eukaryotic genomes, from remodelling of nucleosomes at the base pair level through to large-scale chromatin domains that are hundreds of kilobases in size. RNA polymerase is a powerful motor which, prevented from turning with the tight helical pitch of the DNA, generates over-wound DNA ahead of itself and under-wound DNA behind. Mounting evidence supports a central role for transcription-dependent DNA supercoiling in disrupting chromatin structure at all scales...
2016: Biophysical Reviews
Matthew A Richards, Thomas J Lie, Juan Zhang, Stephen W Ragsdale, John A Leigh, Nathan D Price
: Hydrogenotrophic methanogenesis occurs in multiple environments ranging from the intestinal tracts of animals to anaerobic sediments and hot springs. Energy conservation in hydrogenotrophic methanogens was long a mystery; only within the last decade, it was reported that net energy conservation for growth depends on electron bifurcation. In this work we focus on Methanococcus maripaludis, a well-studied hydrogenotrophic marine methanogen. To better understand hydrogenotrophic methanogenesis and compare it with methylotrophic methanogenesis that utilizes oxidative phosphorylation rather than electron bifurcation, we have built iMR539, a genome scale metabolic reconstruction that accounts for 539 of the 1722 protein-coding genes of M...
October 10, 2016: Journal of Bacteriology
Chris A Hamilton, Alan R Lemmon, Emily Moriarty Lemmon, Jason E Bond
BACKGROUND: Despite considerable effort, progress in spider molecular systematics has lagged behind many other comparable arthropod groups, thereby hindering family-level resolution, classification, and testing of important macroevolutionary hypotheses. Recently, alternative targeted sequence capture techniques have provided molecular systematics a powerful tool for resolving relationships across the Tree of Life. One of these approaches, Anchored Hybrid Enrichment (AHE), is designed to recover hundreds of unique orthologous loci from across the genome, for resolving both shallow and deep-scale evolutionary relationships within non-model systems...
October 13, 2016: BMC Evolutionary Biology
Rémi Peyraud, Ludovic Cottret, Lucas Marmiesse, Jérôme Gouzy, Stéphane Genin
Bacterial pathogenicity relies on a proficient metabolism and there is increasing evidence that metabolic adaptation to exploit host resources is a key property of infectious organisms. In many cases, colonization by the pathogen also implies an intensive multiplication and the necessity to produce a large array of virulence factors, which may represent a significant cost for the pathogen. We describe here the existence of a resource allocation trade-off mechanism in the plant pathogen R. solanacearum. We generated a genome-scale reconstruction of the metabolic network of R...
October 2016: PLoS Pathogens
Maximilian Billmann, Michael Boutros
RNA interference (RNAi) is a potent tool for perturbation of gene function in model organisms and human cells. In Drosophila, efficient RNAi enables screening approaches for components of cellular processes in vivo and in vitro. In cultured cells, measuring the effect of depleting gene products on a genome-wide scale can systematically associate gene function with diverse processes, such as cell growth and proliferation, signaling and trafficking. Here, we describe methods for RNAi experiments in cultured Drosophila cells with a focus on genome-wide loss-of-function screening...
2016: Methods in Molecular Biology
Thomas Gueudré, Carlo Baldassi, Marco Zamparo, Martin Weigt, Andrea Pagnani
Understanding protein-protein interactions is central to our understanding of almost all complex biological processes. Computational tools exploiting rapidly growing genomic databases to characterize protein-protein interactions are urgently needed. Such methods should connect multiple scales from evolutionary conserved interactions between families of homologous proteins, over the identification of specifically interacting proteins in the case of multiple paralogs inside a species, down to the prediction of residues being in physical contact across interaction interfaces...
October 11, 2016: Proceedings of the National Academy of Sciences of the United States of America
İbrahim Ömer Barlas, Orhan Sezgin, Collet Dandara, Gözde Türköz, Emre Yengel, Zinhle Cindi, Handan Ankaralı, Semra Şardaş
Pharmacogenomics harnesses the utility of a patient's genome (n = 1) in decisions on which therapeutic drugs and in what amounts should be administered. Often, patients with shared ancestry present with comparable genetic profiles that predict drug response. However, populations are not static, thus, often, population mobility through migration, especially enmasse as is seen for refugees, changes the pharmacogenetic profiles of resultant populations and therefore observed responses to commonly used therapeutic drugs...
October 2016: Omics: a Journal of Integrative Biology
Jahangir Imam, Puneet K Singh, Pratyoosh Shukla
Deciphering plant-microbe interactions is a promising aspect to understand the benefits and the pathogenic effect of microbes and crop improvement. The advancement in sequencing technologies and various 'omics' tool has impressively accelerated the research in biological sciences in this area. The recent and ongoing developments provide a unique approach to describing these intricate interactions and test hypotheses. In the present review, we discuss the role of plant-pathogen interaction in crop improvement...
2016: Frontiers in Microbiology
Jin Chen, Michael A Henson
Synthesis gas fermentation is one of the most promising routes to convert synthesis gas (syngas; mainly comprised of H2 and CO) to renewable liquid fuels and chemicals by specialized bacteria. The most commonly studied syngas fermenting bacterium is Clostridium ljungdahlii, which produces acetate and ethanol as its primary metabolic byproducts. Engineering of C. ljungdahlii metabolism to overproduce ethanol, enhance the synthesize of the native byproducts lactate and 2,3-butanediol, and introduce the synthesis of non-native products such as butanol and butyrate has substantial commercial value...
October 5, 2016: Metabolic Engineering
Christopher S Hughes, Melissa K McConechy, Dawn R Cochrane, Tayyebeh Nazeran, Anthony N Karnezis, David G Huntsman, Gregg B Morin
Although re-sequencing of gene panels and mRNA expression profiling are now firmly established in clinical laboratories, in-depth proteome analysis has remained a niche technology, better suited for studying model systems rather than challenging materials such as clinical trial samples. To address this limitation, we have developed a novel and optimized platform called SP3-Clinical Tissue Proteomics (SP3-CTP) for in-depth proteome profiling of practical quantities of tumour tissues, including formalin fixed and paraffin embedded (FFPE)...
October 7, 2016: Scientific Reports
Minseung Kim, Navneet Rai, Violeta Zorraquino, Ilias Tagkopoulos
A significant obstacle in training predictive cell models is the lack of integrated data sources. We develop semi-supervised normalization pipelines and perform experimental characterization (growth, transcriptional, proteome) to create Ecomics, a consistent, quality-controlled multi-omics compendium for Escherichia coli with cohesive meta-data information. We then use this resource to train a multi-scale model that integrates four omics layers to predict genome-wide concentrations and growth dynamics. The genetic and environmental ontology reconstructed from the omics data is substantially different and complementary to the genetic and chemical ontologies...
October 7, 2016: Nature Communications
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