keyword
MENU ▼
Read by QxMD icon Read
search

genome scale model

keyword
https://www.readbyqxmd.com/read/28092686/epigenomic-reprogramming-during-pancreatic-cancer-progression-links-anabolic-glucose-metabolism-to-distant-metastasis
#1
Oliver G McDonald, Xin Li, Tyler Saunders, Rakel Tryggvadottir, Samantha J Mentch, Marc O Warmoes, Anna E Word, Alessandro Carrer, Tal H Salz, Sonoko Natsume, Kimberly M Stauffer, Alvin Makohon-Moore, Yi Zhong, Hao Wu, Kathryn E Wellen, Jason W Locasale, Christine A Iacobuzio-Donahue, Andrew P Feinberg
During the progression of pancreatic ductal adenocarcinoma (PDAC), heterogeneous subclonal populations emerge that drive primary tumor growth, regional spread, distant metastasis, and patient death. However, the genetics of metastases largely reflects that of the primary tumor in untreated patients, and PDAC driver mutations are shared by all subclones. This raises the possibility that an epigenetic process might operate during metastasis. Here we report large-scale reprogramming of chromatin modifications during the natural evolution of distant metastasis...
January 16, 2017: Nature Genetics
https://www.readbyqxmd.com/read/28092388/exploration-and-analysis-of-drug-modes-of-action-through-feature-integration
#2
Mingyuan Xin, Jun Fan, Mingyao Liu, Zhenran Jiang
Identifying drug modes of action (MoA) is of paramount importance for having a good grasp of drug indications in clinical tests. Anticipating MoA can help to discover new uses for approved drugs. Here we first used a drug-set enrichment analysis method to discover significant biological activities in every mode of action category. Then, we proposed a new computational model, a probability ensemble approach based on Bayesian network theory, which integrated chemical, therapeutic, genomic and phenotypic properties of over a thousand of FDA approved drugs to assist with the prediction of MoA...
January 16, 2017: Molecular BioSystems
https://www.readbyqxmd.com/read/28091870/perspectives-using-polymer-modeling-to-understand-the-formation-and-function-of-nuclear-compartments
#3
REVIEW
N Haddad, D Jost, C Vaillant
Compartmentalization is a ubiquitous feature of cellular function. In the nucleus, early observations revealed a non-random spatial organization of the genome with a large-scale segregation between transcriptionally active-euchromatin-and silenced-heterochromatin-parts of the genome. Recent advances in genome-wide mapping and imaging techniques have strikingly improved the resolution at which nuclear genome folding can be analyzed and have revealed a multiscale spatial compartmentalization with increasing evidences that such compartment may indeed result from and participate to genome function...
January 14, 2017: Chromosome Research
https://www.readbyqxmd.com/read/28090814/personalized-dynamic-prediction-of-death-according-to-tumour-progression-and-high-dimensional-genetic-factors-meta-analysis-with-a-joint-model
#4
Takeshi Emura, Masahiro Nakatochi, Shigeyuki Matsui, Hirofumi Michimae, Virginie Rondeau
Developing a personalized risk prediction model of death is fundamental for improving patient care and touches on the realm of personalized medicine. The increasing availability of genomic information and large-scale meta-analytic data sets for clinicians has motivated the extension of traditional survival prediction based on the Cox proportional hazards model. The aim of our paper is to develop a personalized risk prediction formula for death according to genetic factors and dynamic tumour progression status based on meta-analytic data...
January 1, 2017: Statistical Methods in Medical Research
https://www.readbyqxmd.com/read/28090586/holliday-junction-trap-shows-how-cells-use-recombination-and-a-junction-guardian-role-of-recq-helicase
#5
Jun Xia, Li-Tzu Chen, Qian Mei, Chien-Hui Ma, Jennifer A Halliday, Hsin-Yu Lin, David Magnan, John P Pribis, Devon M Fitzgerald, Holly M Hamilton, Megan Richters, Ralf B Nehring, Xi Shen, Lei Li, David Bates, P J Hastings, Christophe Herman, Makkuni Jayaram, Susan M Rosenberg
DNA repair by homologous recombination (HR) underpins cell survival and fuels genome instability, cancer, and evolution. However, the main kinds and sources of DNA damage repaired by HR in somatic cells and the roles of important HR proteins remain elusive. We present engineered proteins that trap, map, and quantify Holliday junctions (HJs), a central DNA intermediate in HR, based on catalytically deficient mutant RuvC protein of Escherichia coli. We use RuvCDefGFP (RDG) to map genomic footprints of HR at defined DNA breaks in E...
November 2016: Science Advances
https://www.readbyqxmd.com/read/28089652/hippocampal-prefrontal-connectivity-as-a-translational-phenotype-for-schizophrenia
#6
REVIEW
Florian Bähner, Andreas Meyer-Lindenberg
Finding novel biological targets in psychiatry has been difficult, partly because current diagnostic categories are not defined by pathophysiology and difficult to model in animals. The study of species-conserved systems-level mechanisms implicated in psychiatric disease could be a promising strategy to address some of these difficulties. Altered hippocampal-prefrontal (HC-PFC) connectivity during working memory (WM) processing is a candidate for such a translational phenotype as it has been repeatedly associated with impaired cognition in schizophrenia patients and animal models for psychiatric risk factors...
January 12, 2017: European Neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28088694/metabolic-network-modeling-with-model-organisms
#7
REVIEW
L Safak Yilmaz, Albertha Jm Walhout
Flux balance analysis (FBA) with genome-scale metabolic network models (GSMNM) allows systems level predictions of metabolism in a variety of organisms. Different types of predictions with different accuracy levels can be made depending on the applied experimental constraints ranging from measurement of exchange fluxes to the integration of gene expression data. Metabolic network modeling with model organisms has pioneered method development in this field. In addition, model organism GSMNMs are useful for basic understanding of metabolism, and in the case of animal models, for the study of metabolic human diseases...
January 12, 2017: Current Opinion in Chemical Biology
https://www.readbyqxmd.com/read/28087116/application-of-whole-exome-sequencing-in-elucidating-the-phenotype-and-genotype-spectrum-of-junctional-epidermolysis-bullosa-a-preliminary-experience-of-a-tertiary-care-centre-in-india
#8
Vamsi K Yenamandra, Shamsudheen K Vellarikkal, Manoj Kumar, Madhumita R Chowdhury, Rijith Jayarajan, Ankit Verma, Vinod Scaria, Sridhar Sivasubbu, Subrata B Ray, Amit K Dinda, Madhulika Kabra, Punit Kaur, Vinod K Sharma, Gomathy Sethuraman
BACKGROUND: Junctional epidermolysis bullosa (JEB) is a diverse group of genodermatoses associated with extreme skin fragility. Despite several well-characterized genetic studies, molecular diagnosis of this heterogeneous group is still challenging. Recent advances in the field of genomics have seen the successful implementation of whole exome sequencing (WES) as a fast and efficient diagnostic strategy in several genodermatoses. OBJECTIVE: In view of the scarcity and need of molecular studies for JEB in India, we sought to explore the potential of WES in understanding the mutational spectrum of this rare, in certain subtypes lethal, sub-group of EB...
December 29, 2016: Journal of Dermatological Science
https://www.readbyqxmd.com/read/28081206/identifying-pleiotropic-genes-in-genome-wide-association-studies-for-multivariate-phenotypes-with-mixed-measurement-scales
#9
James J Yang, L Keoki Williams, Anne Buu
We propose a multivariate genome-wide association test for mixed continuous, binary, and ordinal phenotypes. A latent response model is used to estimate the correlation between phenotypes with different measurement scales so that the empirical distribution of the Fisher's combination statistic under the null hypothesis is estimated efficiently. The simulation study shows that our proposed correlation estimation methods have high levels of accuracy. More importantly, our approach conservatively estimates the variance of the test statistic so that the type I error rate is controlled...
2017: PloS One
https://www.readbyqxmd.com/read/28080987/ploidy-dynamics-and-evolvability-in-fungi
#10
REVIEW
Noa Blutraich Wertheimer, Neil Stone, Judith Berman
Rapid responses to acute stresses are essential for stress survival and are critical to the ability of fungal pathogens to adapt to new environments or hosts. The rapid emergence of drug resistance is used as a model for how fungi adapt and survive stress conditions that inhibit the growth of progenitor cells. Aneuploidy and loss of heterozygosity (LOH), which are large-scale genome shifts involving whole chromosomes or chromosome arms, occur at higher frequency than point mutations and have the potential to mediate stress survival...
December 5, 2016: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28077191/genome-wide-analysis-in-endangered-populations-a-case-study-in-barbaresca-sheep
#11
S Mastrangelo, B Portolano, R Di Gerlando, R Ciampolini, M Tolone, M T Sardina
Analysis of genomic data is becoming increasingly common in the livestock industry and the findings have been an invaluable resource for effective management of breeding programs in small and endangered populations. In this paper, with the goal of highlighting the potential of genomic analysis for small and endangered populations, genome-wide levels of linkage disequilibrium, measured as the squared correlation coefficient of allele frequencies at a pair of loci, effective population size, runs of homozygosity (ROH) and genetic diversity parameters, were estimated in Barbaresca sheep using Illumina OvineSNP50K array data...
January 12, 2017: Animal: An International Journal of Animal Bioscience
https://www.readbyqxmd.com/read/28077090/gbs-based-single-dosage-markers-for-linkage-and-qtl-mapping-allow-gene-mining-for-yield-related-traits-in-sugarcane
#12
Thiago Willian Almeida Balsalobre, Guilherme da Silva Pereira, Gabriel Rodrigues Alves Margarido, Rodrigo Gazaffi, Fernanda Zatti Barreto, Carina Oliveira Anoni, Cláudio Benício Cardoso-Silva, Estela Araújo Costa, Melina Cristina Mancini, Hermann Paulo Hoffmann, Anete Pereira de Souza, Antonio Augusto Franco Garcia, Monalisa Sampaio Carneiro
BACKGROUND: Sugarcane (Saccharum spp.) is predominantly an autopolyploid plant with a variable ploidy level, frequent aneuploidy and a large genome that hampers investigation of its organization. Genetic architecture studies are important for identifying genomic regions associated with traits of interest. However, due to the genetic complexity of sugarcane, the practical applications of genomic tools have been notably delayed in this crop, in contrast to other crops that have already advanced to marker-assisted selection (MAS) and genomic selection...
January 11, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28077070/scopa-and-meta-scopa-software-for-the-analysis-and-aggregation-of-genome-wide-association-studies-of-multiple-correlated-phenotypes
#13
Reedik Mägi, Yury V Suleimanov, Geraldine M Clarke, Marika Kaakinen, Krista Fischer, Inga Prokopenko, Andrew P Morris
BACKGROUND: Genome-wide association studies (GWAS) of single nucleotide polymorphisms (SNPs) have been successful in identifying loci contributing genetic effects to a wide range of complex human diseases and quantitative traits. The traditional approach to GWAS analysis is to consider each phenotype separately, despite the fact that many diseases and quantitative traits are correlated with each other, and often measured in the same sample of individuals. Multivariate analyses of correlated phenotypes have been demonstrated, by simulation, to increase power to detect association with SNPs, and thus may enable improved detection of novel loci contributing to diseases and quantitative traits...
January 11, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28076866/biophysically-motivated-regulatory-network-inference-progress-and-prospects
#14
Tarmo Äijö, Richard Bonneau
Thanks to the confluence of genomic technology and computational developments, the possibility of network inference methods that automatically learn large comprehensive models of cellular regulation is closer than ever. This perspective focuses on enumerating the elements of computational strategies that, when coupled to appropriate experimental designs, can lead to accurate large-scale models of chromatin state and transcriptional regulatory structure and dynamics. We highlight 4 research questions that require further investigation in order to make progress in network inference: (1) using overall constraints on network structure such as sparsity, (2) use of informative priors and data integration to constrain individual model parameters, (3) estimation of latent regulatory factor activity under varying cell conditions, and (4) new methods for learning and modeling regulatory factor interactions...
2016: Human Heredity
https://www.readbyqxmd.com/read/28072816/systematic-analysis-of-transcriptional-and-post-transcriptional-regulation-of-metabolism-in-yeast
#15
Emanuel Gonçalves, Zrinka Raguz Nakic, Mattia Zampieri, Omar Wagih, David Ochoa, Uwe Sauer, Pedro Beltrao, Julio Saez-Rodriguez
Cells react to extracellular perturbations with complex and intertwined responses. Systematic identification of the regulatory mechanisms that control these responses is still a challenge and requires tailored analyses integrating different types of molecular data. Here we acquired time-resolved metabolomics measurements in yeast under salt and pheromone stimulation and developed a machine learning approach to explore regulatory associations between metabolism and signal transduction. Existing phosphoproteomics measurements under the same conditions and kinase-substrate regulatory interactions were used to in silico estimate the enzymatic activity of signalling kinases...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28071905/heterogeneous-nucleation-of-an-n-alkane-on-tetrahedrally-coordinated-crystals
#16
Alexander Jules Bourque, C Rebecca Locker, Gregory C Rutledge
Heterogeneous nucleation refers to the propensity for phase transformations to initiate preferentially on foreign surfaces, such as vessel walls, dust particles or formulation additives. In crystallization, the form of the initial nucleus has ramifications for the crystallographic form, morphology and properties of the resulting solid. Nevertheless, the discovery and design of nucleating agents remains a matter of trial and error, due to the very small spatio-temporal scales over which formation of the critical nucleus occurs, and the extreme difficulty of examining such events empirically...
January 10, 2017: Journal of Physical Chemistry. B
https://www.readbyqxmd.com/read/28070687/predicting-chromatin-architecture-from-models-of-polymer-physics
#17
REVIEW
Simona Bianco, Andrea M Chiariello, Carlo Annunziatella, Andrea Esposito, Mario Nicodemi
We review the picture of chromatin large-scale 3D organization emerging from the analysis of Hi-C data and polymer modeling. In higher mammals, Hi-C contact maps reveal a complex higher-order organization, extending from the sub-Mb to chromosomal scales, hierarchically folded in a structure of domains-within-domains (metaTADs). The domain folding hierarchy is partially conserved throughout differentiation, and deeply correlated to epigenomic features. Rearrangements in the metaTAD topology relate to gene expression modifications: in particular, in neuronal differentiation models, topologically associated domains (TADs) tend to have coherent expression changes within architecturally conserved metaTAD niches...
January 9, 2017: Chromosome Research
https://www.readbyqxmd.com/read/28070306/ecological-genomics-of-local-adaptation-in-cornus-florida-l-by-genotyping-by-sequencing
#18
Andrew L Pais, Ross W Whetten, Qiu-Yun Jenny Xiang
Discovering local adaptation, its genetic underpinnings, and environmental drivers is important for conserving forest species. Ecological genomic approaches coupled with next-generation sequencing are useful means to detect local adaptation and uncover its underlying genetic basis in nonmodel species. We report results from a study on flowering dogwood trees (Cornus florida L.) using genotyping by sequencing (GBS). This species is ecologically important to eastern US forests but is severely threatened by fungal diseases...
January 2017: Ecology and Evolution
https://www.readbyqxmd.com/read/28065897/trfba-an-algorithm-to-integrate-genome-scale-metabolic-and-transcriptional-regulatory-networks-with-incorporation-of-expression-data
#19
Ehsan Motamedian, Maryam Mohammadi, Seyed Abbas Shojaosadati, Mona Heydari
MOTIVATION: Integration of different biological networks and data-types has been a major challenge in systems biology. The present study introduces the transcriptional regulated flux balance analysis (TRFBA) algorithm that integrates transcriptional regulatory and metabolic models using a set of expression data for various perturbations. RESULTS: TRFBA considers the expression levels of genes as a new continuous variable and introduces two new linear constraints...
January 8, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28065469/expanding-access-to-large-scale-genomic-data-while-promoting-privacy-a-game-theoretic-approach
#20
Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Ellen Wright Clayton, Murat Kantarcioglu, Bradley Malin
Emerging scientific endeavors are creating big data repositories of data from millions of individuals. Sharing data in a privacy-respecting manner could lead to important discoveries, but high-profile demonstrations show that links between de-identified genomic data and named persons can sometimes be reestablished. Such re-identification attacks have focused on worst-case scenarios and spurred the adoption of data-sharing practices that unnecessarily impede research. To mitigate concerns, organizations have traditionally relied upon legal deterrents, like data use agreements, and are considering suppressing or adding noise to genomic variants...
January 2, 2017: American Journal of Human Genetics
keyword
keyword
18458
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"