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Network gene function prediction

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https://www.readbyqxmd.com/read/27922640/brain-network-reorganization-differs-in-response-to-stress-in-rats-genetically-predisposed-to-depression-and-stress-resilient-rats
#1
N Gass, R Becker, A J Schwarz, W Weber-Fahr, C Clemm von Hohenberg, B Vollmayr, A Sartorius
Treatment-resistant depression (TRD) remains a pressing clinical problem. Optimizing treatment requires better definition of the specificity of the involved brain circuits. The rat strain bred for negative cognitive state (NC) represents a genetic animal model of TRD with high face, construct and predictive validity. Vice versa, the positive cognitive state (PC) strain represents a stress-resilient phenotype. Although NC rats show depressive-like behavior, some symptoms such as anhedonia require an external trigger, i...
December 6, 2016: Translational Psychiatry
https://www.readbyqxmd.com/read/27922095/co-expression-network-analyses-identify-functional-modules-associated-with-development-and-stress-response-in-gossypium-arboreum
#2
Qi You, Liwei Zhang, Xin Yi, Kang Zhang, Dongxia Yao, Xueyan Zhang, Qianhua Wang, Xinhua Zhao, Yi Ling, Wenying Xu, Fuguang Li, Zhen Su
Cotton is an economically important crop, essential for the agriculture and textile industries. Through integrating transcriptomic data, we discovered that multi-dimensional co-expression network analysis was powerful for predicting cotton gene functions and functional modules. Here, the recently available transcriptomic data on Gossypium arboreum, including data on multiple growth stages of tissues and stress treatment samples were applied to construct a co-expression network exploring multi-dimensional expression (development and stress) through multi-layered approaches...
December 6, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27911843/impact-of-the-gut-microbiota-on-enhancer-accessibility-in-gut-intraepithelial-lymphocytes
#3
Nicholas P Semenkovich, Joseph D Planer, Philip P Ahern, Nicholas W Griffin, Charles Y Lin, Jeffrey I Gordon
The gut microbiota impacts many aspects of host biology including immune function. One hypothesis is that microbial communities induce epigenetic changes with accompanying alterations in chromatin accessibility, providing a mechanism that allows a community to have sustained host effects even in the face of its structural or functional variation. We used Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) to define chromatin accessibility in predicted enhancer regions of intestinal αβ(+) and γδ(+) intraepithelial lymphocytes purified from germ-free mice, their conventionally raised (CONV-R) counterparts, and mice reared germ free and then colonized with CONV-R gut microbiota at the end of the suckling-weaning transition...
December 1, 2016: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/27909445/identification-and-profiling-of-micrornas-expressed-in-elongating-cotton-fibers-using-small-rna-deep-sequencing
#4
Yanmei Wang, Yan Ding, Jin-Yuan Liu
Plant microRNAs (miRNAs) have been shown to play essential roles in the regulation of gene expression. In this study, small RNA deep sequencing was applied to explore novel miRNAs expressed in elongating cotton fibers. A total of 46 novel and 96 known miRNAs, primarily derived from the corresponding specific loci in genome of Gossypium arboreum, were identified. 64 miRNAs were shown to be differentially expressed during the fiber elongation process; 16 were predicted to be novel miRNAs while the remaining 48 belong to known miRNA families...
2016: Frontiers in Plant Science
https://www.readbyqxmd.com/read/27907007/exploring-regulatory-mechanisms-of-atrial-myocyte-hypertrophy-of-mitral-regurgitation-through-gene-expression-profiling-analysis-role-of-nfat-in-cardiac-hypertrophy
#5
Tzu-Hao Chang, Mien-Cheng Chen, Jen-Ping Chang, Hsien-Da Huang, Wan-Chun Ho, Yu-Sheng Lin, Kuo-Li Pan, Yao-Kuang Huang, Wen-Hao Liu, Chia-Chen Wu
BACKGROUND: Left atrial enlargement in mitral regurgitation (MR) predicts a poor prognosis. The regulatory mechanisms of atrial myocyte hypertrophy of MR patients remain unknown. METHODS AND RESULTS: This study comprised 14 patients with MR, 7 patients with aortic valve disease (AVD), and 6 purchased samples from normal subjects (NC). We used microarrays, enrichment analysis and quantitative RT-PCR to study the gene expression profiles in the left atria. Microarray results showed that 112 genes were differentially up-regulated and 132 genes were differentially down-regulated in the left atria between MR patients and NC...
2016: PloS One
https://www.readbyqxmd.com/read/27903980/identification-of-biomarker-micrornas-for-predicting-the-response-of-colorectal-cancer-to-neoadjuvant-chemoradiotherapy-based-on-microrna-regulatory-network
#6
Yaqun Zhu, Qiliang Peng, Yuxin Lin, Li Zou, Peipei Shen, Feifei Chen, Ming Min, Li Shen, Jiajia Chen, Bairong Shen
Preoperative radiotherapy or chemoradiotherapy has become a standard procedure for treatment of patients with locally advanced colorectal cancer (CRC). However, patients' responses to treatment are different and personalized. MicroRNAs (miRNAs) are promising biomarkers for predicting personalized responses. In this study, we collected 30 publicly reported miRNAs associated with chemoradiotherapy of CRC. We extracted 46 differentially expressed miRNAs from samples of responders and non-responders to preoperative radiotherapy from the Gene Expression Omnibus dataset (Student's t test, p-value < 0...
November 26, 2016: Oncotarget
https://www.readbyqxmd.com/read/27903896/img-abc-new-features-for-bacterial-secondary-metabolism-analysis-and-targeted-biosynthetic-gene-cluster-discovery-in-thousands-of-microbial-genomes
#7
Michalis Hadjithomas, I-Min A Chen, Ken Chu, Jinghua Huang, Anna Ratner, Krishna Palaniappan, Evan Andersen, Victor Markowitz, Nikos C Kyrpides, Natalia N Ivanova
Secondary metabolites produced by microbes have diverse biological functions, which makes them a great potential source of biotechnologically relevant compounds with antimicrobial, anti-cancer and other activities. The proteins needed to synthesize these natural products are often encoded by clusters of co-located genes called biosynthetic gene clusters (BCs). In order to advance the exploration of microbial secondary metabolism, we developed the largest publically available database of experimentally verified and predicted BCs, the Integrated Microbial Genomes Atlas of Biosynthetic gene Clusters (IMG-ABC) (https://img...
November 29, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27903883/function-driven-discovery-of-disease-genes-in-zebrafish-using-an-integrated-genomics-big-data-resource
#8
Hongseok Shim, Ji Hyun Kim, Chan Yeong Kim, Sohyun Hwang, Hyojin Kim, Sunmo Yang, Ji Eun Lee, Insuk Lee
Whole exome sequencing (WES) accelerates disease gene discovery using rare genetic variants, but further statistical and functional evidence is required to avoid false-discovery. To complement variant-driven disease gene discovery, here we present function-driven disease gene discovery in zebrafish (Danio rerio), a promising human disease model owing to its high anatomical and genomic similarity to humans. To facilitate zebrafish-based function-driven disease gene discovery, we developed a genome-scale co-functional network of zebrafish genes, DanioNet (www...
November 16, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27902487/identification-of-laryngeal-cancer-prognostic-biomarkers-using-an-inflammatory-gene-related-competitive-endogenous-rna-network
#9
Qun He, Linli Tian, Hao Jiang, Jiarui Zhang, Qiang Li, Yanan Sun, Jiannan Zhao, Huijun Li, Ming Liu
Competitive endogenous RNAs (ceRNAs) act as molecular sponges for microRNAs (miRNAs), and are associated with tumorigenesis in various cancers, including laryngeal cancer (LC). In this work, we constructed an LC-specific inflammatory gene-related ceRNA network (IceNet). In IceNet, ceRNAs targeting inflammation-related genes tended to be network hubs. Additionally, the betweenness centralities of these hub ceRNAs were higher than those of the inflammation-related genes themselves, indicating that the hub ceRNAs in this study played critical roles in communication between IceNet molecules...
November 25, 2016: Oncotarget
https://www.readbyqxmd.com/read/27900601/rna-seq-expression-analysis-of-enteric-neuron-cells-with-rotenone-treatment-and-prediction-of-regulated-pathways
#10
Qiang Guan, Xijin Wang, Yanyan Jiang, Lijuan Zhao, Zhiyu Nie, Lingjing Jin
The enteric nervous system (ENS) is involved in the initiation and development of the pathological process of Parkinson's disease (PD). The effect of rotenone on the ENS may trigger the progression of PD through the central nervous system (CNS). In this study, we used RNA-sequencing (RNA-seq) analysis to examine differential expression genes (DEGs) and pathways induced by in vitro treatment of rotenone in the enteric nervous cells isolated from rats. We identified 45 up-regulated and 30 down-regulated genes...
November 30, 2016: Neurochemical Research
https://www.readbyqxmd.com/read/27899679/atpid-a-genome-scale-resource-for-genotype-phenotype-associations-in-arabidopsis
#11
Qi Lv, Yiheng Lan, Yan Shi, Huan Wang, Xia Pan, Peng Li, Tieliu Shi
AtPID (Arabidopsis thaliana Protein Interactome Database, available at http://www.megabionet.org/atpid) is an integrated database resource for protein interaction network and functional annotation. In the past few years, we collected 5564 mutants with significant morphological alterations and manually curated them to 167 plant ontology (PO) morphology categories. These single/multiple-gene mutants were indexed and linked to 3919 genes. After integrated these genotype-phenotype associations with the comprehensive protein interaction network in AtPID, we developed a Naïve Bayes method and predicted 4457 novel high confidence gene-PO pairs with 1369 genes as the complement...
November 28, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27899596/chitars-3-1-the-enhanced-chimeric-transcripts-and-rna-seq-database-matched-with-protein-protein-interactions
#12
Alessandro Gorohovski, Somnath Tagore, Vikrant Palande, Assaf Malka, Dorith Raviv-Shay, Milana Frenkel-Morgenstern
Discovery of chimeric RNAs, which are produced by chromosomal translocations as well as the joining of exons from different genes by trans-splicing, has added a new level of complexity to our study and understanding of the transcriptome. The enhanced ChiTaRS-3.1 database (http://chitars.md.biu.ac.il) is designed to make widely accessible a wealth of mined data on chimeric RNAs, with easy-to-use analytical tools built-in. The database comprises 34 922: chimeric transcripts along with 11 714: cancer breakpoints...
November 29, 2016: Nucleic Acids Research
https://www.readbyqxmd.com/read/27896993/frequent-subgraph-mining-of-personalized-signaling-pathway-networks-groups-patients-with-frequently-dysregulated-disease-pathways-and-predicts-prognosis
#13
Arda Durmaz, Tim A D Henderson, Douglas Brubaker, Gurkan Bebek
MOTIVATION: Large scale genomics studies have generated comprehensive molecular characterization of numerous cancer types. Subtypes for many tumor types have been established; however, these classifications are based on molecular characteristics of a small gene sets with limited power to detect dysregulation at the patient level. We hypothesize that frequent graph mining of pathways to gather pathways functionally relevant to tumors can characterize tumor types and provide opportunities for personalized therapies...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27894672/microrna-145-regulates-the-rlr-signaling-pathway-in-miiuy-croaker-after-poly-i-c-stimulation-via-targeting-mda5
#14
Jingjing Han, Yuena Sun, Weihua Song, Tianjun Xu
MicroRNAs (miRNAs) are endogenous small non-coding RNAs that participate in diverse biological processes via degrading the target mRNAs or repressing translation. In this study, the regulation of miRNA to the RLR (RIG-I-like receptor) signaling pathway by degrading the target mRNAs was researched in miiuy croaker. MDA5, a microRNA-145-5p (miR-145-5p) putative target gene, was predicted by bioinformatics, and the target sites from the 3'untranslated region of MDA5 transcripts were confirmed using luciferase reporter assays...
November 25, 2016: Developmental and Comparative Immunology
https://www.readbyqxmd.com/read/27889536/compact-integration-of-multi-network-topology-for-functional-analysis-of-genes
#15
Hyunghoon Cho, Bonnie Berger, Jian Peng
The topological landscape of molecular or functional interaction networks provides a rich source of information for inferring functional patterns of genes or proteins. However, a pressing yet-unsolved challenge is how to combine multiple heterogeneous networks, each having different connectivity patterns, to achieve more accurate inference. Here, we describe the Mashup framework for scalable and robust network integration. In Mashup, the diffusion in each network is first analyzed to characterize the topological context of each node...
November 22, 2016: Cell Systems
https://www.readbyqxmd.com/read/27889153/metagenomics-reveals-flavour-metabolic-network-of-cereal-vinegar-microbiota
#16
Lin-Huan Wu, Zhen-Ming Lu, Xiao-Juan Zhang, Zong-Min Wang, Yong-Jian Yu, Jin-Song Shi, Zheng-Hong Xu
Multispecies microbial community formed through centuries of repeated batch acetic acid fermentation (AAF) is crucial for the flavour quality of traditional vinegar produced from cereals. However, the metabolism to generate and/or formulate the essential flavours by the multispecies microbial community is hardly understood. Here we used metagenomic approach to clarify in situ metabolic network of key microbes responsible for flavour synthesis of a typical cereal vinegar, Zhenjiang aromatic vinegar, produced by solid-state fermentation...
April 2017: Food Microbiology
https://www.readbyqxmd.com/read/27881075/modelling-microbial-metabolic-rewiring-during-growth-in-a-complex-medium
#17
Marco Fondi, Emanuele Bosi, Luana Presta, Diletta Natoli, Renato Fani
BACKGROUND: In their natural environment, bacteria face a wide range of environmental conditions that change over time and that impose continuous rearrangements at all the cellular levels (e.g. gene expression, metabolism). When facing a nutritionally rich environment, for example, microbes first use the preferred compound(s) and only later start metabolizing the other one(s). A systemic re-organization of the overall microbial metabolic network in response to a variation in the composition/concentration of the surrounding nutrients has been suggested, although the range and the entity of such modifications in organisms other than a few model microbes has been scarcely described up to now...
November 24, 2016: BMC Genomics
https://www.readbyqxmd.com/read/27881001/pathway-crosstalk-analysis-in-prostate-cancer-based-on-protein-protein-network-data
#18
H Y Li, N Jin, Y P Han, X F Jin
Prostate cancer (PCa) is one of the major leading cause in men and no effective biomarkers or therapy have been approved for it to date. This study aimed to explore the molecular mechanisms and identify the potential molecular biomarkers of PCa. The microarray profile GSE38241 including 18 prostate cancer metastasis and 21 normal prostate samples was retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified by Limma. DEGs functions were investigated by Gene Ontology (GO) and pathway enrichment analysis...
November 24, 2016: Neoplasma
https://www.readbyqxmd.com/read/27867818/a-new-gene-regulatory-network-model-based-on-bp-algorithm-for-interrogating-differentially-expressed-genes-of-sea-urchin
#19
Longlong Liu, Tingting Zhao, Meng Ma, Yan Wang
BACKGROUND: Computer science and mathematical theories are combined to analyze the complex interactions among genes, which are simplified to a network to establish a theoretical model for the analysis of the structure, module and dynamic properties. In contrast, traditional model of gene regulatory networks often lack an effective method for solving gene expression data because of high durational and spatial complexity. In this paper, we propose a new model for constructing gene regulatory networks using back propagation (BP) neural network based on predictive function and network topology...
2016: SpringerPlus
https://www.readbyqxmd.com/read/27866947/integrating-gwas-and-co-expression-network-data-identifies-bone-mineral-density-genes-sptbn1-and-mark3-and-an-osteoblast-functional-module
#20
Gina M Calabrese, Larry D Mesner, Joseph P Stains, Steven M Tommasini, Mark C Horowitz, Clifford J Rosen, Charles R Farber
Bone mineral density (BMD) is a highly heritable predictor of osteoporotic fracture. Genome-wide association studies (GWAS) for BMD have identified dozens of associations; yet, the genes responsible for most associations remain elusive. Here, we used a bone co-expression network to predict causal genes at BMD GWAS loci based on the premise that genes underlying a disease are often functionally related and functionally related genes are often co-expressed. By mapping genes implicated by BMD GWAS onto a bone co-expression network, we predicted and inferred the function of causal genes for 30 of 64 GWAS loci...
November 15, 2016: Cell Systems
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