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https://www.readbyqxmd.com/read/28107672/a-computational-model-of-conditioning-inspired-by-drosophila-olfactory-system
#1
Faramarz Faghihi, Ahmed A Moustafa, Ralf Heinrich, Florentin Wörgötter
Recent studies have demonstrated that Drosophila melanogaster (briefly Drosophila) can successfully perform higher cognitive processes including second order olfactory conditioning. Understanding the neural mechanism of this behavior can help neuroscientists to unravel the principles of information processing in complex neural systems (e.g. the human brain) and to create efficient and robust robotic systems. In this work, we have developed a biologically-inspired spiking neural network which is able to execute both first and second order conditioning...
November 23, 2016: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/28107392/upon-accounting-for-the-impact-of-isoenzyme-loss-gene-deletion-costs-anticorrelate-with-their-evolutionary-rates
#2
Christopher Jacobs, Luke Lambourne, Yu Xia, Daniel Segrè
System-level metabolic network models enable the computation of growth and metabolic phenotypes from an organism's genome. In particular, flux balance approaches have been used to estimate the contribution of individual metabolic genes to organismal fitness, offering the opportunity to test whether such contributions carry information about the evolutionary pressure on the corresponding genes. Previous failure to identify the expected negative correlation between such computed gene-loss cost and sequence-derived evolutionary rates in Saccharomyces cerevisiae has been ascribed to a real biological gap between a gene's fitness contribution to an organism "here and now" and the same gene's historical importance as evidenced by its accumulated mutations over millions of years of evolution...
2017: PloS One
https://www.readbyqxmd.com/read/28107365/parenclitic-network-analysis-of-methylation-data-for-cancer-identification
#3
Alexander Karsakov, Thomas Bartlett, Artem Ryblov, Iosif Meyerov, Mikhail Ivanchenko, Alexey Zaikin
We make use of ideas from the theory of complex networks to implement a machine learning classification of human DNA methylation data, that carry signatures of cancer development. The data were obtained from patients with various kinds of cancers and represented as parenclictic networks, wherein nodes correspond to genes, and edges are weighted according to pairwise variation from control group subjects. We demonstrate that for the 10 types of cancer under study, it is possible to obtain a high performance of binary classification between cancer-positive and negative samples based on network measures...
2017: PloS One
https://www.readbyqxmd.com/read/28106765/quantitative-proteomic-profiling-of-tachyplesin-i-targets-in-u251-gliomaspheres
#4
Xuan Li, Jianguo Dai, Yongjun Tang, Lulu Li, Gang Jin
Tachyplesin I is a cationic peptide isolated from hemocytes of the horseshoe crab and its anti-tumor activity has been demonstrated in several tumor cells. However, there is limited information providing the global effects and mechanisms of tachyplesin I on glioblastoma multiforme (GBM). Here, by using two complementary proteomic strategies (2D-DIGE and dimethyl isotope labeling-based shotgun proteomics), we explored the effect of tachyplesin I on the proteome of gliomaspheres, a three-dimensional growth model formed by a GBM cell line U251...
January 18, 2017: Marine Drugs
https://www.readbyqxmd.com/read/28106549/the-multimerization-state-of%C3%A2-the%C3%A2-amyloid-%C3%AE-42-amyloid-peptide-governs-its-interaction-network-with%C3%A2-the%C3%A2-extracellular-matrix
#5
Romain Salza, Claire Lethias, Sylvie Ricard-Blum
The goals of this work were i) to identify the interactions of amyloid-β (Aβ)42 under monomeric, oligomeric, and fibrillar forms with the extracellular matrix (ECM) and receptors, ii) to determine the influence of Aβ42 supramolecular organization on these interactions, and iii) to identify the molecular functions, biological processes, and pathways targeted by Aβ42 in the ECM. The ECM and cell surface partners of Aβ42 and its supramolecular forms were identified with protein and glycosaminoglycan (GAG) arrays (81 molecules in triplicate) probed by surface plasmon resonance imaging...
January 18, 2017: Journal of Alzheimer's Disease: JAD
https://www.readbyqxmd.com/read/28106223/next-generation-of-network-medicine-interdisciplinary-signaling-approaches
#6
REVIEW
Tamas Korcsmaros, Maria Victoria Schneider, Giulio Superti-Furga
In the last decade, network approaches have transformed our understanding of biological systems. Network analyses and visualizations have allowed us to identify essential molecules and modules in biological systems, and improved our understanding of how changes in cellular processes can lead to complex diseases, such as cancer, infectious and neurodegenerative diseases. "Network medicine" involves unbiased large-scale network-based analyses of diverse data describing interactions between genes, diseases, phenotypes, drug targets, drug transport, drug side-effects, disease trajectories and more...
January 20, 2017: Integrative Biology: Quantitative Biosciences From Nano to Macro
https://www.readbyqxmd.com/read/28106101/the-systematic-analysis-of-coding-and-long-non-coding-rnas-in-the-sub-chronic-and-chronic-stages-of-spinal-cord-injury
#7
Raquel Cuevas-Diaz Duran, Han Yan, Yiyan Zheng, Xingfan Huang, Raymond Grill, Dong H Kim, Qilin Cao, Jia Qian Wu
Spinal cord injury (SCI) remains one of the most debilitating neurological disorders and the majority of SCI patients are in the chronic phase. Previous studies of SCI have usually focused on few genes and pathways at a time. In particular, the biological roles of long non-coding RNAs (lncRNAs) have never been characterized in SCI. Our study is the first to comprehensively investigate alterations in the expression of both coding and long non-coding genes in the sub-chronic and chronic stages of SCI using RNA-Sequencing...
January 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28105958/dmirnet-inferring-direct-microrna-mrna-association-networks
#8
Minsu Lee, HyungJune Lee
BACKGROUND: MicroRNAs (miRNAs) play important regulatory roles in the wide range of biological processes by inducing target mRNA degradation or translational repression. Based on the correlation between expression profiles of a miRNA and its target mRNA, various computational methods have previously been proposed to identify miRNA-mRNA association networks by incorporating the matched miRNA and mRNA expression profiles. However, there remain three major issues to be resolved in the conventional computation approaches for inferring miRNA-mRNA association networks from expression profiles...
December 5, 2016: BMC Systems Biology
https://www.readbyqxmd.com/read/28105946/a-physarum-inspired-prize-collecting-steiner-tree-approach-to-identify-subnetworks-for-drug-repositioning
#9
Yahui Sun, Pathima Nusrath Hameed, Karin Verspoor, Saman Halgamuge
BACKGROUND: Drug repositioning can reduce the time, costs and risks of drug development by identifying new therapeutic effects for known drugs. It is challenging to reposition drugs as pharmacological data is large and complex. Subnetwork identification has already been used to simplify the visualization and interpretation of biological data, but it has not been applied to drug repositioning so far. In this paper, we fill this gap by proposing a new Physarum-inspired Prize-Collecting Steiner Tree algorithm to identify subnetworks for drug repositioning...
December 5, 2016: BMC Systems Biology
https://www.readbyqxmd.com/read/28105929/a-compendium-of-human-genes-regulating-feeding-behavior-and-body-weight-its-functional-characterization-and-identification-of-gwas-genes-involved-in-brain-specific-ppi-network
#10
Elena V Ignatieva, Dmitry A Afonnikov, Olga V Saik, Evgeny I Rogaev, Nikolay A Kolchanov
BACKGROUND: Obesity is heritable. It predisposes to many diseases. The objectives of this study were to create a compendium of genes relevant to feeding behavior (FB) and/or body weight (BW) regulation; to construct and to analyze networks formed by associations between genes/proteins; and to identify the most significant genes, biological processes/pathways, and tissues/organs involved in BW regulation. RESULTS: The compendium of genes controlling FB or BW includes 578 human genes...
December 22, 2016: BMC Genetics
https://www.readbyqxmd.com/read/28105915/spectral-consensus-strategy-for-accurate-reconstruction-of-large-biological-networks
#11
Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker
BACKGROUND: The last decades witnessed an explosion of large-scale biological datasets whose analyses require the continuous development of innovative algorithms. Many of these high-dimensional datasets are related to large biological networks with few or no experimentally proven interactions. A striking example lies in the recent gut bacterial studies that provided researchers with a plethora of information sources. Despite a deeper knowledge of microbiome composition, inferring bacterial interactions remains a critical step that encounters significant issues, due in particular to high-dimensional settings, unknown gut bacterial taxa and unavoidable noise in sparse datasets...
December 13, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28105908/degreecox-a-network-based-regularization-method-for-survival-analysis
#12
André Veríssimo, Arlindo Limede Oliveira, Marie-France Sagot, Susana Vinga
BACKGROUND: Modeling survival oncological data has become a major challenge as the increase in the amount of molecular information nowadays available means that the number of features greatly exceeds the number of observations. One possible solution to cope with this dimensionality problem is the use of additional constraints in the cost function optimization. LASSO and other sparsity methods have thus already been successfully applied with such idea. Although this leads to more interpretable models, these methods still do not fully profit from the relations between the features, specially when these can be represented through graphs...
December 13, 2016: BMC Bioinformatics
https://www.readbyqxmd.com/read/28105615/-improvement-of-prognostic-and-predictive-network-of-colorectal-cancer-based-upon-the-8th-edition-of-ajcc-colorectal-cancer-staging-system
#13
Hongwei Yao, Hongwei Wu, Yinhua Liu
The 8th edition of AJCC cancer staging system will be launched all over the world in January 1, 2018. The major advances in the 8th edition are the introduction of non-anatomic prognostic and predictive factors supported by I(-II( grade evidence based on histopathology and molecular biology, and the improvement of prognostic assessment system based on these factors, including CEA level, cancer retraction score, circumference margin, lymphatic invasion, peripheral nerve invasion, microsatellite instability, KRAS/NRAS gene mutation and BRAF gene mutation...
January 25, 2017: Zhonghua Wei Chang Wai Ke za Zhi, Chinese Journal of Gastrointestinal Surgery
https://www.readbyqxmd.com/read/28105216/identification-of-potential-therapeutic-targets-for-colorectal-cancer-by-bioinformatics-analysis
#14
Ming Yan, Maomin Song, Rixing Bai, Shi Cheng, Wenmao Yan
The aim of the present study was to identify potential therapeutic targets for colorectal cancer (CRC). The gene expression profile GSE32323, containing 34 samples, including 17 specimens of CRC tissues and 17 of paired normal tissues from CRC patients, was downloaded from the Gene Expression Omnibus database. Following data preprocessing using the Affy and preprocessCore packages, the differentially-expressed genes (DEGs) between the two types of samples were identified with the Linear Models for Microarray Analysis package...
December 2016: Oncology Letters
https://www.readbyqxmd.com/read/28104709/utility-of-social-media-and-crowd-sourced-data-for-pharmacovigilance-a-scoping-review-protocol
#15
Andrea C Tricco, Wasifa Zarin, Erin Lillie, Ba Pham, Sharon E Straus
INTRODUCTION: Adverse events associated with medications are under-reported in postmarketing surveillance systems. A systematic review of published data from 37 studies worldwide (including Canada) found the median under-reporting rate of adverse events to be 94% in spontaneous reporting systems. This scoping review aims to assess the utility of social media and crowd-sourced data to detect and monitor adverse events related to health products including pharmaceuticals, medical devices, biologics and natural health products...
January 19, 2017: BMJ Open
https://www.readbyqxmd.com/read/28104370/unusual-reversible-elastomeric-gels-from-nostoc-commune
#16
Sol Rodriguez, Karen N Gonzales, Eduardo G Romero, Omar P Troncoso, Fernando G Torres
Nostoc commune cyanobacteria grow in extreme conditions of desiccation and nutrient-poor soils. Their colonies form spherical gelatinous bodies are composed of a variety of polysaccharides that allow them to store water and nutrients. In this paper, we study this type of biological gel that shows characteristics of both chemical and physical gels. The structure of this gel was assessed by means of scanning electron microscopy, plate-plate rheometry, Fourier transform infrared spectroscopy and absorption/desorption tests...
January 16, 2017: International Journal of Biological Macromolecules
https://www.readbyqxmd.com/read/28103880/the-use-of-genome-scale-metabolic-network-reconstruction-to-predict-fluxes-and-equilibrium-composition-of-n-fixing-versus-c-fixing-cells-in-a-diazotrophic-cyanobacterium-trichodesmium-erythraeum
#17
Joseph J Gardner, Nanette R Boyle
BACKGROUND: Computational, genome based predictions of organism phenotypes has enhanced the ability to investigate the biological phenomena that help organisms survive and respond to their environments. In this study, we have created the first genome-scale metabolic network reconstruction of the nitrogen fixing cyanobacterium T. erythraeum and used genome-scale modeling approaches to investigate carbon and nitrogen fluxes as well as growth and equilibrium population composition. RESULTS: We created a genome-scale reconstruction of T...
January 19, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28103601/superiority-in-quality-of-life-improvement-of-biologics-over-conventional-systemic-drugs-in-a-swiss-real-life-psoriasis-registry
#18
Pierre Jungo, Julia-Tatjana Maul, Vahid Djamei, Stefanie von Felten, Antonios G A Kolios, Justine Czernielewsk, Nikhil Yawalkar, Olivia Odermatt, Emmanuel Laffitte, Mark Anliker, Markus Streit, Matthias Augustin, Curdin Conrad, Jürg Hafner, Wolf-Henning Boehncke, Michel Gilliet, Peter Itin, Lars E French, Alexander A Navarini, Peter Häusermann
BACKGROUND: Randomized controlled trials have shown the efficacy of systemic treatments in moderate-to-severe psoriasis. Clinical outcomes in psoriasis patients under real-world conditions are less well understood. OBJECTIVE: This study compared Psoriasis Area and Severity Index (PASI) and Dermatological Life Quality Index (DLQI) improvement in all psoriasis patients registered in the Swiss Dermatology Network for Targeted Therapies. We asked whether outcomes differed between 4 treatment strategies, namely biologic monotherapy versus conventional systemic monotherapy, versus combined biologic and conventional systemic drugs, and versus therapy adaptation (switching from one type to another)...
January 20, 2017: Dermatology: International Journal for Clinical and Investigative Dermatology
https://www.readbyqxmd.com/read/28103559/exploring-the-missing-links-between-dietary-habits-and-diseases
#19
Malay Bhattacharyya, Soumi Maity, Sanghamitra Bandyopadhyay
Disease dietomics is an emerging area of systems biology that attempts to explore the connections between the dietary habits and diseases. Some of the topical studies highlight that foods might have different impacts over an organism either in progressing a disease (negative association) or in fighting against it (positive association). The association of foods with different diseases can be put together to build a network that might provide a global view of the entire system. Again, such disease-food networks might emerge in a more complex form while considering the disease subtypes individually...
January 16, 2017: IEEE Transactions on Nanobioscience
https://www.readbyqxmd.com/read/28103115/involvement-of-autophagy-in-nk-cell-development-and-function
#20
Alejandro López-Soto, José Manuel Bravo-San Pedro, Guido Kroemer, Lorenzo Galluzzi, Segundo Gonzalez
Natural killer (NK) cells are the prototypical members of the recently identified family of innate lymphoid cells (ILCs). Thanks to their cytotoxic and secretory functions, NK cells play a key role in the immune response to cells experiencing various forms of stress, including viral infection and malignant transformation. Autophagy is a highly conserved network of degradative pathways that participate in the maintenance of cellular and organismal homeostasis as they promote adaptation to adverse microenvironmental conditions...
January 19, 2017: Autophagy
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