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Omics analysis

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https://www.readbyqxmd.com/read/28651411/-introduction-to-bayesian-variable-selection-methods-in-high-dimensional-omics-data-analysis
#1
X Q Dong, S H Xu, R Tao, T Wang
With the rapid development of genome sequencing technology and bioinformatics in recent years, it has become possible to measure thousands of omics data which might be associated with the progress of diseases, i.e."high-dimensional data" . This type of omics data have a common feature that the number of variable p is usually greater than the observation cases n, and often has high correlation between independent variables. Therefore, it is a great statistical challenge to identify really meaningful variables from omics data...
May 10, 2017: Zhonghua Liu Xing Bing Xue za Zhi, Zhonghua Liuxingbingxue Zazhi
https://www.readbyqxmd.com/read/28649586/data-from-salivary-gland-proteome-analysis-of-female-aedes-aegypti-linn
#2
Rakhi Dhawan, Ajeet Kumar Mohanty, Manish Kumar, Gourav Dey, Jayshree Advani, T S Keshava Prasad, Ashwani Kumar
Salivary gland proteins from female Aedes aegypti mosquito were extracted and analyzed on high-resolution mass spectrometry. Proteomic data was analysed using two search algorithms SEQUEST and Mascot, which results in acquisition of 83,836 spectra which were assigned to 5417 peptides belonging to 1208 proteins.These proteins were then assigned molecular functions and further analysis revealed biological processes they are involved in using Gene Ontology annotations. Several immunity related pathways were found to be enriched in salivary gland...
August 2017: Data in Brief
https://www.readbyqxmd.com/read/28649431/meta-analysis-of-host-response-networks-identifies-a-common-core-in-tuberculosis
#3
Awanti Sambarey, Abhinandan Devaprasad, Priyanka Baloni, Madhulika Mishra, Abhilash Mohan, Priyanka Tyagi, Amit Singh, J S Akshata, Razia Sultana, Shashidhar Buggi, Nagasuma Chandra
Tuberculosis remains a major global health challenge worldwide, causing more than a million deaths annually. To determine newer methods for detecting and combating the disease, it is necessary to characterise global host responses to infection. Several high throughput omics studies have provided a rich resource including a list of several genes differentially regulated in tuberculosis. An integrated analysis of these studies is necessary to identify a unified response to the infection. Such data integration is met with several challenges owing to platform dependency, patient heterogeneity, and variability in the extent of infection, resulting in little overlap among different datasets...
2017: NPJ Systems Biology and Applications
https://www.readbyqxmd.com/read/28647896/omics-based-hybrid-prediction-in-maize
#4
Matthias Westhues, Tobias A Schrag, Claas Heuer, Georg Thaller, H Friedrich Utz, Wolfgang Schipprack, Alexander Thiemann, Felix Seifert, Anita Ehret, Armin Schlereth, Mark Stitt, Zoran Nikoloski, Lothar Willmitzer, Chris C Schön, Stefan Scholten, Albrecht E Melchinger
Complementing genomic data with other "omics" predictors can increase the probability of success for predicting the best hybrid combinations using complex agronomic traits. Accurate prediction of traits with complex genetic architecture is crucial for selecting superior candidates in animal and plant breeding and for guiding decisions in personalized medicine. Whole-genome prediction has revolutionized these areas but has inherent limitations in incorporating intricate epistatic interactions. Downstream "omics" data are expected to integrate interactions within and between different biological strata and provide the opportunity to improve trait prediction...
June 24, 2017: TAG. Theoretical and Applied Genetics. Theoretische und Angewandte Genetik
https://www.readbyqxmd.com/read/28646205/comparative-nanouplc-ms-e-analysis-between-magainin-i-susceptible-and-resistant-escherichia-coli-strains
#5
Marlon H Cardoso, Keyla C de Almeida, Elizabete de S Cândido, André M Murad, Simoni C Dias, Octávio L Franco
In recent years the antimicrobial peptides (AMPs) have been prospected and designed as new alternatives to conventional antibiotics. Indeed, AMPs have presented great potential toward pathogenic bacterial strains by means of complex mechanisms of action. However, reports have increasingly emerged regarding the mechanisms by which bacteria resist AMP administration. In this context, we performed a comparative proteomic study by using the total bacterial lysate of magainin I-susceptible and -resistant E. coli strains...
June 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28646024/metabolic-reprogramming-via-ppar%C3%AE-signaling-in-cardiac-hypertrophy-and-failure-from-metabolomics-to-epigenetics
#6
Junco Shibayama Warren, Shin-Ichi Oka, Daniela Zablocki, Junichi Sadoshima
Studies using -omics-based approaches have advanced our knowledge of metabolic remodeling in cardiac hypertrophy and failure. Metabolomic analysis of the failing heart has revealed global changes in mitochondrial substrate metabolism. Peroxisome proliferator-activated receptor alpha (PPARα) plays a critical role in synergistic regulation of cardiac metabolism through transcriptional control. Metabolic reprogramming via PPARα signaling in heart failure ultimately propagates into myocardial energetics. However, emerging evidence suggests that the expression level of PPARα per se does not always explain the energetic state in the heart...
June 23, 2017: American Journal of Physiology. Heart and Circulatory Physiology
https://www.readbyqxmd.com/read/28645581/improvement-of-isopropanol-tolerance-of-escherichia-coli-using-adaptive-laboratory-evolution-and-omics-technologies
#7
Takaaki Horinouchi, Aki Sakai, Hazuki Kotani, Kumi Tanabe, Chikara Furusawa
Isopropanol (IPA) is the secondary alcohol that can be dehydrated to yield propylene. To produce IPA using microorganisms, a significant issue is that the toxicity of IPA causes retardation or inhibition of cell growth, decreasing the yield. One possible strategy to overcome this problem is to improve IPA tolerance of production organisms. For the understanding of tolerance to IPA, we performed parallel adaptive laboratory evolution (ALE) of Escherichia coli under IPA stress. To identify the genotypic change during ALE, we performed genome re-sequencing analyses of obtained tolerant strains...
June 20, 2017: Journal of Biotechnology
https://www.readbyqxmd.com/read/28643936/phenotypic-analysis-of-organoids-by-proteomics
#8
REVIEW
Alexis Gonneaud, Claude Asselin, François Boudreau, François-Michel Boisvert
The development of 3D cell cultures into self-organizing organ-like structures named organoids provides a model that better reflects in vivo organ physiology and their functional properties. Organoids have been established from several organs, such as the intestine, prostate, brain, liver, kidney and pancreas. With recent advances in high-throughput and -omics profiling technologies, it is now possible to study the mechanisms of cellular organisation at the systems level. It is therefore not surprising that these methods are now used to characterize organoids at the transcriptomic, proteomic, chromatin state and transcription factor DNA-binding levels...
June 23, 2017: Proteomics
https://www.readbyqxmd.com/read/28643819/non-invasive-approaches-in-the-diagnosis-of-acute-rejection-in-kidney-transplant-recipients-part-ii-omics-analyses-of-urine-and-blood-samples
#9
REVIEW
Pauline Erpicum, Oriane Hanssen, Laurent Weekers, Pierre Lovinfosse, Paul Meunier, Luaba Tshibanda, Jean-Marie Krzesinski, Roland Hustinx, François Jouret
Kidney transplantation (KTx) represents the best available treatment for patients with end-stage renal disease. Still, the full benefits of KTx are undermined by acute rejection (AR). The diagnosis of AR ultimately relies on transplant needle biopsy. However, such an invasive procedure is associated with a significant risk of complications and is limited by sampling error and interobserver variability. In the present review, we summarize the current literature about non-invasive approaches for the diagnosis of AR in kidney transplant recipients (KTRs), including in vivo imaging, gene-expression profiling and omics analyses of blood and urine samples...
February 2017: Clinical Kidney Journal
https://www.readbyqxmd.com/read/28643332/integrative-eqtl-analysis-of-tumor-and-host-omics-data-in-individuals-with-bladder-cancer
#10
Silvia Pineda, Kristel Van Steen, Núria Malats
Integrative analyses of several omics data are emerging. The data are usually generated from the same source material (i.e., tumor sample) representing one level of regulation. However, integrating different regulatory levels (i.e., blood) with those from tumor may also reveal important knowledge about the human genetic architecture. To model this multilevel structure, an integrative-expression quantitative trait loci (eQTL) analysis applying two-stage regression (2SR) was proposed. This approach first regressed tumor gene expression levels with tumor markers and the adjusted residuals from the previous model were then regressed with the germline genotypes measured in blood...
June 23, 2017: Genetic Epidemiology
https://www.readbyqxmd.com/read/28640810/lassim-a-network-inference-toolbox-for-genome-wide-mechanistic-modeling
#11
Rasmus Magnusson, Guido Pio Mariotti, Mattias Köpsén, William Lövfors, Danuta R Gawel, Rebecka Jörnsten, Jörg Linde, Torbjörn Nordling, Elin Nyman, Sylvie Schulze, Colm E Nestor, Huan Zhang, Gunnar Cedersund, Mikael Benson, Andreas Tjärnberg, Mika Gustafsson
Recent technological advancements have made time-resolved, quantitative, multi-omics data available for many model systems, which could be integrated for systems pharmacokinetic use. Here, we present large-scale simulation modeling (LASSIM), which is a novel mathematical tool for performing large-scale inference using mechanistically defined ordinary differential equations (ODE) for gene regulatory networks (GRNs). LASSIM integrates structural knowledge about regulatory interactions and non-linear equations with multiple steady state and dynamic response expression datasets...
June 22, 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28637422/optimal-alpha-reduces-error-rates-in-gene-expression-studies-a-meta-analysis-approach
#12
J F Mudge, C J Martyniuk, J E Houlahan
BACKGROUND: Transcriptomic approaches (microarray and RNA-seq) have been a tremendous advance for molecular science in all disciplines, but they have made interpretation of hypothesis testing more difficult because of the large number of comparisons that are done within an experiment. The result has been a proliferation of techniques aimed at solving the multiple comparisons problem, techniques that have focused primarily on minimizing Type I error with little or no concern about concomitant increases in Type II errors...
June 21, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28634240/leucine-biosynthesis-is-involved-in-regulating-high-lipid-accumulation-in-yarrowia-lipolytica
#13
Eduard J Kerkhoven, Young-Mo Kim, Siwei Wei, Carrie D Nicora, Thomas L Fillmore, Samuel O Purvine, Bobbie-Jo Webb-Robertson, Richard D Smith, Scott E Baker, Thomas O Metz, Jens Nielsen
The yeast Yarrowia lipolytica is a potent accumulator of lipids, and lipogenesis in this organism can be influenced by a variety of factors, such as genetics and environmental conditions. Using a multifactorial study, we elucidated the effects of both genetic and environmental factors on regulation of lipogenesis in Y. lipolytica and identified how two opposite regulatory states both result in lipid accumulation. This study involved comparison of a strain overexpressing diacylglycerol acyltransferase (DGA1) with a control strain grown under either nitrogen or carbon limitation conditions...
June 20, 2017: MBio
https://www.readbyqxmd.com/read/28633993/microfluidics-as-a-strategic-player-to-decipher-single-cell-omics
#14
REVIEW
Ouriel Caen, Heng Lu, Philippe Nizard, Valerie Taly
Most cell studies are performed at a population level, relying on the assumption of a normal distribution of the function and fate of a cell among a population. However, technologies allowing single-cell analysis (SCA) have recently arisen and have led to increasing evidence of cell population heterogeneity and its importance. Tremendous amounts of new data could now be uncovered to redefine our understanding of cell omics. Microfluidics has emerged as a major technological player in this new era and is gradually increasing in use among biology laboratories, mainly due to the single-cell high-throughput handling solutions it offers...
June 17, 2017: Trends in Biotechnology
https://www.readbyqxmd.com/read/28632769/combining-omics-and-microscopy-to-visualize-interactions-between-the-asian-citrus-psyllid-vector-and-the-huanglongbing-pathogen-candidatus-liberibacter-asiaticus-in-the-insect-gut
#15
Angela Kruse, Somayeh Fattah-Hosseini, Surya Saha, Richard Johnson, EricaRose Warwick, Kasie Sturgeon, Lukas Mueller, Michael J MacCoss, Robert G Shatters, Michelle Cilia Heck
Huanglongbing, or citrus greening disease, is an economically devastating bacterial disease of citrus. It is associated with infection by the gram-negative bacterium Candidatus Liberibacter asiaticus (CLas). CLas is transmitted by Diaphorina citri, the Asian citrus psyllid (ACP). For insect transmission to occur, CLas must be ingested during feeding on infected phloem sap and cross the gut barrier to gain entry into the insect vector. To investigate the effects of CLas exposure at the gut-pathogen interface, we performed RNAseq and mass spectrometry-based proteomics to analyze the transcriptome and proteome, respectively, of ACP gut tissue...
2017: PloS One
https://www.readbyqxmd.com/read/28629312/editorial-advanced-big-data-analysis-methods-and-tools-for-high-throughput-omics-technologies
#16
EDITORIAL
Tao Huang
No abstract text is available yet for this article.
2017: Combinatorial Chemistry & High Throughput Screening
https://www.readbyqxmd.com/read/28627424/channeling-in-native-microbial-pathways-implications-and-challenges-for-metabolic-engineering
#17
REVIEW
Mary H Abernathy, Lian He, Yinjie J Tang
Intracellular enzymes can be organized into a variety of assemblies, shuttling intermediates from one active site to the next. Eukaryotic compartmentalization within mitochondrion and peroxisomes and substrate tunneling within multi-enzyme complexes have been well recognized. Intriguingly, the central pathways in prokaryotes may also form extensive channels, including the heavily branched glycolysis pathway. In vivo channeling through cascade enzymes is difficult to directly measure, but can be inferred from in vitro tests, reaction thermodynamics, transport/reaction modeling, analysis of molecular diffusion and protein interactions, or steady state/dynamic isotopic labeling...
June 13, 2017: Biotechnology Advances
https://www.readbyqxmd.com/read/28627406/multi-omics-facilitated-variable-selection-in-cox-regression-model-for-cancer-prognosis-prediction
#18
Cong Liu, Xujun Wang, Georgi Z Genchev, Hui Lu
Motivation New developments in high-throughput genomic technologies have enabled the measurement of diverse types of omics biomarkers in a cost-efficient and clinically-feasible manner. Developing computational methods and tools for analysis and translation of such genomic data into clinically-relevant information is an ongoing and active area of investigation. For example, several studies have utilized an unsupervised learning framework to cluster patients by integrating omics data. Despite such recent advances, predicting cancer prognosis using integrated omics biomarkers remains a challenge...
June 13, 2017: Methods: a Companion to Methods in Enzymology
https://www.readbyqxmd.com/read/28627174/integrative-analysis-of-renal-ischemia-reperfusion-injury-and-remote-ischemic-preconditioning-in-mice
#19
Kumsun Cho, Sang-Il Min, Sanghyun Ahn, Seung-Kee Min, Curie Ahn, Kyung-Sang Yu, In-Jin Jang, Joo-Youn Cho, Jongwon Ha
Remote ischemic preconditioning (RIPC) is a strategy to induce resistance in a target organ against the oxidative stress and injury caused by ischemia and reperfusion (IR). RIPC harnesses the body's endogenous protective capabilities through brief episodes of IR applied in organs remote from the target. Few studies have analyzed this phenomenon in the kidney. Furthermore, the window of protection representing RIPC efficacy has not been fully elucidated. Here, we performed a multi-omics study to specify those associated with protective effects of RIPC against the IR injury...
June 19, 2017: Journal of Proteome Research
https://www.readbyqxmd.com/read/28626454/a-syst-omics-approach-to-ensuring-food-safety-and-reducing-the-economic-burden-of-salmonellosis
#20
Jean-Guillaume Emond-Rheault, Julie Jeukens, Luca Freschi, Irena Kukavica-Ibrulj, Brian Boyle, Marie-Josée Dupont, Anna Colavecchio, Virginie Barrere, Brigitte Cadieux, Gitanjali Arya, Sadjia Bekal, Chrystal Berry, Elton Burnett, Camille Cavestri, Travis K Chapin, Alanna Crouse, France Daigle, Michelle D Danyluk, Pascal Delaquis, Ken Dewar, Florence Doualla-Bell, Ismail Fliss, Karen Fong, Eric Fournier, Eelco Franz, Rafael Garduno, Alexander Gill, Samantha Gruenheid, Linda Harris, Carol B Huang, Hongsheng Huang, Roger Johnson, Yann Joly, Maud Kerhoas, Nguyet Kong, Gisèle Lapointe, Line Larivière, Stéphanie Loignon, Danielle Malo, Sylvain Moineau, Walid Mottawea, Kakali Mukhopadhyay, Céline Nadon, John Nash, Ida Ngueng Feze, Dele Ogunremi, Ann Perets, Ana V Pilar, Aleisha R Reimer, James Robertson, John Rohde, Kenneth E Sanderson, Lingqiao Song, Roger Stephan, Sandeep Tamber, Paul Thomassin, Denise Tremblay, Valentine Usongo, Caroline Vincent, Siyun Wang, Joel T Weadge, Martin Wiedmann, Lucas Wijnands, Emily D Wilson, Thomas Wittum, Catherine Yoshida, Khadija Youfsi, Lei Zhu, Bart C Weimer, Lawrence Goodridge, Roger C Levesque
The Salmonella Syst-OMICS consortium is sequencing 4,500 Salmonella genomes and building an analysis pipeline for the study of Salmonella genome evolution, antibiotic resistance and virulence genes. Metadata, including phenotypic as well as genomic data, for isolates of the collection are provided through the Salmonella Foodborne Syst-OMICS database (SalFoS), at https://salfos.ibis.ulaval.ca/. Here, we present our strategy and the analysis of the first 3,377 genomes. Our data will be used to draw potential links between strains found in fresh produce, humans, animals and the environment...
2017: Frontiers in Microbiology
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