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https://www.readbyqxmd.com/read/28098893/systematic-analysis-of-microarray-datasets-to-identify-parkinson-s-disease%C3%A2-associated-pathways-and-genes
#1
Yinling Feng, Xuefeng Wang
In order to investigate commonly disturbed genes and pathways in various brain regions of patients with Parkinson's disease (PD), microarray datasets from previous studies were collected and systematically analyzed. Different normalization methods were applied to microarray datasets from different platforms. A strategy combining gene co‑expression networks and clinical information was adopted, using weighted gene co‑expression network analysis (WGCNA) to screen for commonly disturbed genes in different brain regions of patients with PD...
January 16, 2017: Molecular Medicine Reports
https://www.readbyqxmd.com/read/28018242/network-analysis-based-approach-for-exploring-the-potential-diagnostic-biomarkers-of-acute-myocardial-infarction
#2
Jiaqi Chen, Ling Yu, Siwei Zhang, Xia Chen
Acute myocardial infarction (AMI) is a severe cardiovascular disease that is a serious threat to human life. However, the specific diagnostic biomarkers have not been fully clarified and candidate regulatory targets for AMI have not been identified. In order to explore the potential diagnostic biomarkers and possible regulatory targets of AMI, we used a network analysis-based approach to analyze microarray expression profiling of peripheral blood in patients with AMI. The significant differentially-expressed genes (DEGs) were screened by Limma and constructed a gene function regulatory network (GO-Tree) to obtain the inherent affiliation of significant function terms...
2016: Frontiers in Physiology
https://www.readbyqxmd.com/read/27984699/gene-expression-correlated-to-severe-asthma-characteristics-reveals-heterogeneous-mechanisms-of-severe-disease
#3
Brian D Modena, Eugene R Bleecker, William W Busse, Serpil C Erzurum, Benjamin M Gaston, Nizar N Jarjour, Deborah A Meyers, Jadranka Milosevic, John R Tedrow, Wei Wu, Naftali Kaminski, Sally E Wenzel
RATIONALE: Severe asthma is a heterogeneous disease with multiple molecular mechanisms. Gene expression studies of asthmatic bronchial epithelial cells have provided biological insight and underscored possible mechanistic differences between individuals. OBJECTIVE: Identify networks of genes reflective of underlying biological processes that define severe asthma(SA). METHODS: Airway epithelial cell gene expression from 155 asthmatics and healthy controls(HC) in the Severe Asthma Research Program was analyzed by weighted gene co-expression network analysis (WGCNA) to identify gene networks and profiles associated with severe asthma and its specific characteristics (i...
December 16, 2016: American Journal of Respiratory and Critical Care Medicine
https://www.readbyqxmd.com/read/27982099/co-expression-analysis-and-identification-of-fecundity-related-long-non-coding-rnas-in-sheep-ovaries
#4
Xiangyang Miao, Qingmiao Luo, Huijing Zhao, Xiaoyu Qin
Small Tail Han sheep, including the FecB(B)FecB(B) (Han BB) and FecB(+) FecB(+) (Han++) genotypes, and Dorset sheep exhibit different fecundities. To identify novel long non-coding RNAs (lncRNAs) associated with sheep fecundity to better understand their molecular mechanisms, a genome-wide analysis of mRNAs and lncRNAs from Han BB, Han++ and Dorset sheep was performed. After the identification of differentially expressed mRNAs and lncRNAs, 16 significant modules were explored by using weighted gene coexpression network analysis (WGCNA) followed by functional enrichment analysis of the genes and lncRNAs in significant modules...
December 16, 2016: Scientific Reports
https://www.readbyqxmd.com/read/27959337/peripheral-blood-gene-expression-profiles-linked-to-monoamine-metabolite-levels-in-cerebrospinal-fluid
#5
J J Luykx, L M Olde Loohuis, M Neeleman, E Strengman, S C Bakker, E Lentjes, P Borgdorff, E P A van Dongen, P Bruins, R S Kahn, S Horvath, S de Jong, R A Ophoff
The blood-brain barrier separates circulating blood from the central nervous system (CNS). The scope of this barrier is not fully understood which limits our ability to relate biological measurements from peripheral to central phenotypes. For example, it is unknown to what extent gene expression levels in peripheral blood are reflective of CNS metabolism. In this study, we examine links between central monoamine metabolite levels and whole-blood gene expression to better understand the connection between peripheral systems and the CNS...
December 13, 2016: Translational Psychiatry
https://www.readbyqxmd.com/read/27933543/integrative-analysis-of-genetic-genomic-and-phenotypic-data-for-ethanol-behaviors-a-network-based-pipeline-for-identifying-mechanisms-and-potential-drug-targets
#6
James W Bogenpohl, Kristin M Mignogna, Maren L Smith, Michael F Miles
Complex behavioral traits, such as alcohol abuse, are caused by an interplay of genetic and environmental factors, producing deleterious functional adaptations in the central nervous system. The long-term behavioral consequences of such changes are of substantial cost to both the individual and society. Substantial progress has been made in the last two decades in understanding elements of brain mechanisms underlying responses to ethanol in animal models and risk factors for alcohol use disorder (AUD) in humans...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27907186/inter-tissue-gene-co-expression-networks-between-metabolically-healthy-and-unhealthy-obese-individuals
#7
Lisette J A Kogelman, Jingyuan Fu, Lude Franke, Jan Willem Greve, Marten Hofker, Sander S Rensen, Haja N Kadarmideen
BACKGROUND: Obesity is associated with severe co-morbidities such as type 2 diabetes and nonalcoholic steatohepatitis. However, studies have shown that 10-25 percent of the severely obese individuals are metabolically healthy. To date, the identification of genetic factors underlying the metabolically healthy obese (MHO) state is limited. Systems genetics approaches have led to the identification of genes and pathways in complex diseases. Here, we have used such approaches across tissues to detect genes and pathways involved in obesity-induced disease development...
2016: PloS One
https://www.readbyqxmd.com/read/27898768/transcriptome-and-small-rnaome-dynamics-during-a-resistant-and-susceptible-interaction-between-cucumber-and-downy-mildew
#8
Alyssa Burkhardt, Brad Day
Cucumber ( L.) downy mildew, caused by the obligate oomycete pathogen (Berk. and Curt.) Rostov., is the primary factor limiting cucumber production. Although sources of resistance have been identified, such as plant introduction line PI 197088, the genes and processes involved in mediating resistance are still unknown. In the current study, we conducted a comprehensive transcriptome and small RNAome analysis of a resistant (PI 197088) and susceptible ('Vlaspik') cucumber during a time course of infection using Illumina sequencing...
March 2016: Plant Genome
https://www.readbyqxmd.com/read/27896962/adaptive-testing-of-snp-brain-functional-connectivity-association-via-a-modular-network-analysis
#9
Chen Gao, Junghi Kim, Wei Pan
Due to its high dimensionality and high noise levels, analysis of a large brain functional network may not be powerful and easy to interpret; instead, decomposition of a large network into smaller subcomponents called modules may be more promising as suggested by some empirical evidence. For example, alteration of brain modularity is observed in patients suffering from various types of brain malfunctions. Although several methods exist for estimating brain functional networks, such as the sample correlation matrix or graphical lasso for a sparse precision matrix, it is still difficult to extract modules from such network estimates...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27894806/genetic-divergence-in-the-transcriptional-engram-of-chronic-alcohol-abuse-a-laser-capture-rna-seq-study-of-the-mouse-mesocorticolimbic-system
#10
Megan K Mulligan, Khyobeni Mozhui, Ashutosh K Pandey, Maren L Smith, Suzhen Gong, Jesse Ingels, Michael F Miles, Marcelo F Lopez, Lu Lu, Robert W Williams
Genetic factors that influence the transition from initial drinking to dependence remain enigmatic. Recent studies have leveraged chronic intermittent ethanol (CIE) paradigms to measure changes in brain gene expression in a single strain at 0, 8, 72 h, and even 7 days following CIE. We extend these findings using LCM RNA-seq to profile expression in 11 brain regions in two inbred strains - C57BL/6J (B6) and DBA/2J (D2) - 72 h following multiple cycles of ethanol self-administration and CIE. Linear models identified differential expression based on treatment, region, strain, or interactions with treatment...
October 15, 2016: Alcohol
https://www.readbyqxmd.com/read/27824868/drug-repositioning-through-systematic-mining-of-gene-coexpression-networks-in-cancer
#11
Alexander E Ivliev, Peter A C 't Hoen, Dmitrii Borisevich, Yuri Nikolsky, Marina G Sergeeva
Gene coexpression network analysis is a powerful "data-driven" approach essential for understanding cancer biology and mechanisms of tumor development. Yet, despite the completion of thousands of studies on cancer gene expression, there have been few attempts to normalize and integrate co-expression data from scattered sources in a concise "meta-analysis" framework. We generated such a resource by exploring gene coexpression networks in 82 microarray datasets from 9 major human cancer types. The analysis was conducted using an elaborate weighted gene coexpression network (WGCNA) methodology and identified over 3,000 robust gene coexpression modules...
2016: PloS One
https://www.readbyqxmd.com/read/27819739/identification-of-significantly-different-modules-between-permanent-and-deciduous-teeth-by-network-and-pathway-analyses
#12
J Kang, R Bai, K Liu, X P Ji, Y Li, J Y Han
The differences in genetic backgrounds between deciduous and permanent teeth might contribute to the differences in developmental processes, histological characteristics, and tooth life cycles. Here, we attempted to identify significantly different modules between permanent and deciduous teeth via network and pathway analyses. We identified 291 differentially expressed genes (DEGs) between permanent and deciduous teeth using significance analysis of microarray methods. Co-expression networks of DEGs were constructed by weighted gene co-expression network analysis (WGCNA)...
November 3, 2016: Genetics and Molecular Research: GMR
https://www.readbyqxmd.com/read/27818889/discovery-of-the-molecular-mechanisms-of-the-novel-chalcone-based-magnaporthe-oryzae-inhibitor-c1-using-transcriptomic-profiling-and-co-expression-network-analysis
#13
Hui Chen, Xiaoyun Wang, Hong Jin, Rui Liu, Taiping Hou
BACKGROUND: In our previous studies, we discovered a series of chalcone-based phytopathogenic fungus inhibitors. However, knowledge of their effects, detailed targets and molecular mechanisms in Magnaporthe oryzae (M. oryzae) remained limited. METHODS: To explore the expression and function of differentially expressed genes in M. oryzae after treatment with compound C1, we analyzed the expression profile of mRNAs using a microarray analysis and GO, KEGG and WGCNA analysis, followed by qRT-PCR and Western blots to validate our findings...
2016: SpringerPlus
https://www.readbyqxmd.com/read/27814717/differential-dna-methylation-marks-and-gene-comethylation-of-copd-in-african-americans-with-copd-exacerbations
#14
Robert Busch, Weiliang Qiu, Jessica Lasky-Su, Jarrett Morrow, Gerard Criner, Dawn DeMeo
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the third-leading cause of death worldwide. Identifying COPD-associated DNA methylation marks in African-Americans may contribute to our understanding of racial disparities in COPD susceptibility. We determined differentially methylated genes and co-methylation network modules associated with COPD in African-Americans recruited during exacerbations of COPD and smoking controls from the Pennsylvania Study of Chronic Obstructive Pulmonary Exacerbations (PA-SCOPE) cohort...
November 5, 2016: Respiratory Research
https://www.readbyqxmd.com/read/27793094/network-analysis-of-psoriasis-reveals-biological-pathways-and-roles-for-coding-and-long-non-coding-rnas
#15
Richard Ahn, Rashmi Gupta, Kevin Lai, Nitin Chopra, Sarah T Arron, Wilson Liao
BACKGROUND: Psoriasis is an immune-mediated, inflammatory disorder of the skin characterized by chronic inflammation and hyperproliferation of the epidermis. Differential expression analysis of microarray or RNA-seq data have shown that thousands of coding and non-coding genes are differentially expressed between psoriatic and healthy control skin. However, differential expression analysis may fail to detect perturbations in gene coexpression networks. Sensitive detection of such networks may provide additional insight into important disease-associated pathways...
October 28, 2016: BMC Genomics
https://www.readbyqxmd.com/read/27725221/fresh-frozen-plasma-modulates-brain-gene-expression-in-a-swine-model-of-traumatic-brain-injury-and-shock-a-network-analysis
#16
Martin Sillesen, Ted Bambakidis, Simone E Dekker, Yongqing Li, Hasan B Alam
BACKGROUND: Resuscitation with fresh frozen plasma (FFP) decreases brain lesion size and swelling in a swine model of traumatic brain injury and hemorrhagic shock. We hypothesized that brain gene expression profiles after traumatic brain injury and hemorrhagic shock would be modulated by FFP resuscitation. STUDY DESIGN: Fifteen swine underwent a protocol of traumatic brain injury and hemorrhagic shock and 2 hours of shock followed by resuscitation with FFP, normal saline, or hetastarch (5/group)...
January 2017: Journal of the American College of Surgeons
https://www.readbyqxmd.com/read/27711190/the-role-of-vitamin-d-in-the-transcriptional-program-of-human-pregnancy
#17
Amal Al-Garawi, Vincent J Carey, Divya Chhabra, Hooman Mirzakhani, Jarrett Morrow, Jessica Lasky-Su, Weiliang Qiu, Nancy Laranjo, Augusto A Litonjua, Scott T Weiss
BACKGROUND: Patterns of gene expression of human pregnancy are poorly understood. In a trial of vitamin D supplementation in pregnant women, peripheral blood transcriptomes were measured longitudinally on 30 women and used to characterize gene co-expression networks. OBJECTIVE: Studies suggest that increased maternal Vitamin D levels may reduce the risk of asthma in early life, yet the underlying mechanisms have not been examined. In this study, we used a network-based approach to examine changes in gene expression profiles during the course of normal pregnancy and evaluated their association with maternal Vitamin D levels...
2016: PloS One
https://www.readbyqxmd.com/read/27704223/gene-co-expression-network-analysis-reveals-the-correlation-patterns-among-genes-in-euryhaline-adaptation-of-crassostrea-gigas
#18
Xuelin Zhao, Hong Yu, Lingfeng Kong, Qi Li
The Pacific oyster Crassostrea gigas is a dominant aquaculture species in many intertidal zones throughout the Pacific and Atlantic Oceans and can tolerate a wide range of salinity. Studying the gene expression profiles of oyster gills had found differentially expressed genes (DEGs) involved in salinity tolerance. A systematic study of cellular response to salinity stress may provide insights into the mechanism of acquired salinity tolerance. Here, weighted gene co-expression network analysis (WGCNA) was carried out using RNA-seq data from gill transcriptome in response to different salinity...
October 2016: Marine Biotechnology
https://www.readbyqxmd.com/read/27613830/molecular-differences-between-cerebral-blood-volume-and-vessel-size-in-glioblastoma-multiforme
#19
Dieter Henrik Heiland, Theo Demerath, Elias Kellner, Valerij G Kiselev, Dietmar Pfeifer, Oliver Schnell, Ori Staszewski, Horst Urbach, Astrid Weyerbrock, Irina Mader
The purpose of this study was to investigate the molecular background of cerebral blood volume (CBV) and vessel size (VS) of capillaries in glioblastoma multiforme (GBM). Both parameters are derived from extended perfusion MR imaging.A prospective case study including 21 patients (median age 66 years, 10 females) was performed. Before operation, CBV and VS of contrast enhancing tumor were assessed. Tissue was sampled from the assessed areas under neuronavigation control. After RNA extraction, transcriptional data was analyzed by Weighted Gene Co-Expression Network Analysis (WGCNA) and split into modules based on its network affiliations...
August 23, 2016: Oncotarget
https://www.readbyqxmd.com/read/27610074/comparative-gene-expression-analysis-of-two-mouse-models-of-autism-transcriptome-profiling-of-the-btbr-and-en2-hippocampus
#20
Giovanni Provenzano, Zelia Corradi, Katia Monsorno, Tarcisio Fedrizzi, Laura Ricceri, Maria L Scattoni, Yuri Bozzi
Autism spectrum disorders (ASD) are characterized by a high degree of genetic heterogeneity. Genomic studies identified common pathological processes underlying the heterogeneous clinical manifestations of ASD, and transcriptome analyses revealed that gene networks involved in synapse development, neuronal activity, and immune function are deregulated in ASD. Mouse models provide unique tools to investigate the neurobiological basis of ASD; however, a comprehensive approach to identify transcriptional abnormalities in different ASD models has never been performed...
2016: Frontiers in Neuroscience
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