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https://www.readbyqxmd.com/read/28444190/biological-aging-and-the-human-gut-microbiota
#1
Vincent J Maffei, Sangkyu Kim, Eugene Blanchard, Meng Luo, S Michal Jazwinski, Christopher M Taylor, David A Welsh
The human gastrointestinal microbiota plays a key homeostatic role in normal functioning of physiologic processes commonly undermined by aging. We used a previously validated 34-item frailty index (FI34) to identify changes in gut microbiota community structure associated with biological age of community-dwelling adults. Stool 16S rRNA cDNA libraries from 85 subjects ranging in age (43-79) and FI34 score (0-0.365) were deep sequenced, denoised, and clustered using DADA2. Subject biological age but not chronological age correlated with a decrease in stool microbial diversity...
April 25, 2017: Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
https://www.readbyqxmd.com/read/28440393/identification-of-key-genes-associated-with-schmid-type-metaphyseal-chondrodysplasia-based-on-microarray-data
#2
Bing Wang, Li He, Wusheng Miao, Ge Wu, Hai Jiang, Yongtao Wu, Jining Qu, Min Li
This study aimed to gain a better understanding of the molecular circuitry of Schmid-type metaphyseal chondrodysplasia (SMCD), and to identify more potential genes associated with the pathogenesis of SMCD. Microarray data from GSE72261 were downloaded from the NCBI GEO database, including collagen X p.Asn617Lys knock-in mutation (ColXN617K), ablated XBP1 activity (Xbp1CartΔEx2), compound mutant (C/X), and wild-type (WT) specimens. Differentially expressed genes (DEGs) were screened in Xbp1 vs. WT, Col vs...
April 19, 2017: International Journal of Molecular Medicine
https://www.readbyqxmd.com/read/28440025/identifying-key-genes-in-rheumatoid-arthritis-by-weighted-gene-co-expression-network-analysis
#3
Chunhui Ma, Qi Lv, Songsong Teng, Yinxian Yu, Kerun Niu, Chengqin Yi
PURPOSE: This study aimed to identify rheumatoid arthritis (RA) related genes based on microarray data using the WGCNA (weighted gene co-expression network analysis) method. METHODS: Two gene expression profile datasets GSE55235 (10 RA samples and 10 healthy controls) and GSE77298 (16 RA samples and seven healthy controls) were downloaded from Gene Expression Omnibus database. Characteristic genes were identified using metaDE package. WGCNA was used to find disease-related networks based on gene expression correlation coefficients, and module significance was defined as the average gene significance of all genes used to assess the correlation between the module and RA status...
April 25, 2017: International Journal of Rheumatic Diseases
https://www.readbyqxmd.com/read/28438154/network-based-analysis-reveals-novel-gene-signatures-in-peripheral-blood-of-patients-with-chronic-obstructive-pulmonary-disease
#4
Ma'en Obeidat, Yunlong Nie, Virginia Chen, Casey P Shannon, Anand Kumar Andiappan, Bernett Lee, Olaf Rotzschke, Peter J Castaldi, Craig P Hersh, Nick Fishbane, Raymond T Ng, Bruce McManus, Bruce E Miller, Stephen Rennard, Peter D Paré, Don D Sin
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is currently the third leading cause of death and there is a huge unmet clinical need to identify disease biomarkers in peripheral blood. Compared to gene level differential expression approaches to identify gene signatures, network analyses provide a biologically intuitive approach which leverages the co-expression patterns in the transcriptome to identify modules of co-expressed genes. METHODS: A weighted gene co-expression network analysis (WGCNA) was applied to peripheral blood transcriptome from 238 COPD subjects to discover co-expressed gene modules...
April 24, 2017: Respiratory Research
https://www.readbyqxmd.com/read/28432618/the-identification-of-key-genes-and-pathways-in-hepatocellular-carcinoma-by-bioinformatics-analysis-of-high-throughput-data
#5
Chaoyang Zhang, Li Peng, Yaqin Zhang, Zhaoyang Liu, Wenling Li, Shilian Chen, Guancheng Li
Liver cancer is a serious threat to public health and has fairly complicated pathogenesis. Therefore, the identification of key genes and pathways is of much importance for clarifying molecular mechanism of hepatocellular carcinoma (HCC) initiation and progression. HCC-associated gene expression dataset was downloaded from Gene Expression Omnibus database. Statistical software R was used for significance analysis of differentially expressed genes (DEGs) between liver cancer samples and normal samples. Gene Ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, based on R software, were applied for the identification of pathways in which DEGs significantly enriched...
June 2017: Medical Oncology
https://www.readbyqxmd.com/read/28410596/toll-like-receptor-4-in-glial-inflammatory-responses-to-air-pollution-in-vitro-and-in-vivo
#6
Nicholas C Woodward, Morgan C Levine, Amin Haghani, Farimah Shirmohammadi, Arian Saffari, Constantinos Sioutas, Todd E Morgan, Caleb E Finch
BACKGROUND: Exposure to traffic-related air pollution (TRAP) is associated with accelerated cognitive aging and higher dementia risk in human populations. Rodent brains respond to TRAP with activation of astrocytes and microglia, increased inflammatory cytokines, and neurite atrophy. A role for Toll-like receptor 4 (TLR4) was suggested in mouse TLR4-knockouts, which had attenuated lung macrophage responses to air pollution. METHODS: To further analyze these mechanisms, we examined mixed glial cultures (astrocytes and microglia) for RNA responses to nanoscale particulate matter (nPM; diameter <0...
April 14, 2017: Journal of Neuroinflammation
https://www.readbyqxmd.com/read/28403906/an-additional-k-means-clustering-step-improves-the-biological-features-of-wgcna-gene-co-expression-networks
#7
Juan A Botía, Jana Vandrovcova, Paola Forabosco, Sebastian Guelfi, Karishma D'Sa, John Hardy, Cathryn M Lewis, Mina Ryten, Michael E Weale
BACKGROUND: Weighted Gene Co-expression Network Analysis (WGCNA) is a widely used R software package for the generation of gene co-expression networks (GCN). WGCNA generates both a GCN and a derived partitioning of clusters of genes (modules). We propose k-means clustering as an additional processing step to conventional WGCNA, which we have implemented in the R package km2gcn (k-means to gene co-expression network, https://github.com/juanbot/km2gcn ). RESULTS: We assessed our method on networks created from UKBEC data (10 different human brain tissues), on networks created from GTEx data (42 human tissues, including 13 brain tissues), and on simulated networks derived from GTEx data...
April 12, 2017: BMC Systems Biology
https://www.readbyqxmd.com/read/28398605/identification-of-key-gene-modules-for-in-human-osteosarcoma-by-co-expression-analysis-weighted-gene-coexpression-network-analysis-wgcna
#8
Xiangsheng Liu, Ai-Xin Hu, Jia-Li Zhao, Feng-Li Chen
Osteosarcoma is the eighth-most common form of childhood cancer, comprising about 20% of all primary bone cancers. To date, systemic co-expression analysis for this cancer is still insufficient to explain the pathogenesis of poorly understood OC. The objective of this study was to construct a gene co-expression network to predict clusters of candidate genes involved in the pathogenesis of osteosarcoma. First, we contributed co-expression modules via weighted gene co-expression network analysis (WGCNA) and investigated the functional enrichment analysis of co-expression genes in terms of GO and KEGG...
April 11, 2017: Journal of Cellular Biochemistry
https://www.readbyqxmd.com/read/28396678/identification-of-circular-rnas-in-kiwifruit-and-their-species-specific-response-to-bacterial-canker-pathogen-invasion
#9
Zupeng Wang, Yifei Liu, Dawei Li, Li Li, Qiong Zhang, Shuaibin Wang, Hongwen Huang
Research studies have recently focused on circle RNAs (circRNAs) in relation to their regulatory functions in animals. However, the systematic identification of circRNAs in plants, especially non-model plants, is limited. In addition, raw report on the prediction of the potential role of circRNAs in plant response to pathogen invasion is currently available. We conducted the systematic identification of circRNAs from four materials originating from three species belonging to genus Actinidia under different situations using ribosomal RNA (rRNA) depleted RNA-Seq data...
2017: Frontiers in Plant Science
https://www.readbyqxmd.com/read/28389669/exploring-functions-of-long-noncoding-rnas-across-multiple-cancers-through-co-expression-network
#10
Suqing Li, Bin Li, Yuanting Zheng, Menglong Li, Leming Shi, Xuemei Pu
In contrast to protein-coding genes, long-noncoding RNAs (lncRNAs) are much less well understood, despite increasing evidence indicating a wide range of their biological functions, and possible roles in various cancers. Based on public RNA-seq datasets of four solid cancer types, we here utilize Weighted Correlation Network Analysis (WGCNA) to propose a strategy for exploring the functions of lncRNAs altered in more than two cancer types, which we call onco-lncRNAs. Results indicate that cancer-expressed lncRNAs show high tissue specificity and are weakly expressed, more so than protein-coding genes...
April 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28368827/brane-clust-cluster-assisted-gene-regulatory-network-inference-refinement
#11
Aurelie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
Discovering meaningful gene interactions is crucial for the identification of novel regulatory processes in cells. Building accurately the related graphs remains challenging due to the large number of possible solutions from available data. Nonetheless, enforcing a priori on the graph structure, such as modularity, may reduce network indeterminacy issues. BRANE Clust (Biologically-Related A priori Network Enhancement with Clustering) refines gene regulatory network (GRN) inference thanks to cluster information...
March 28, 2017: IEEE/ACM Transactions on Computational Biology and Bioinformatics
https://www.readbyqxmd.com/read/28321948/gene-networks-show-associations-with-seed-region-connectivity
#12
Marie Forest, Yasser Iturria-Medina, Jennifer S Goldman, Claudia L Kleinman, Amanda Lovato, Kathleen Oros Klein, Alan Evans, Antonio Ciampi, Aurélie Labbe, Celia M T Greenwood
Primary patterns in adult brain connectivity are established during development by coordinated networks of transiently expressed genes; however, neural networks remain malleable throughout life. The present study hypothesizes that structural connectivity from key seed regions may induce effects on their connected targets, which are reflected in gene expression at those targeted regions. To test this hypothesis, analyses were performed on data from two brains from the Allen Human Brain Atlas, for which both gene expression and DW-MRI were available...
March 21, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/28287180/functional-interactors-of-three-genome-wide-association-study-genes-are-differentially-expressed-in-severe-chronic-obstructive-pulmonary-disease-lung-tissue
#13
Jarrett D Morrow, Xiaobo Zhou, Taotao Lao, Zhiqiang Jiang, Dawn L DeMeo, Michael H Cho, Weiliang Qiu, Suzanne Cloonan, Victor Pinto-Plata, Bartholome Celli, Nathaniel Marchetti, Gerard J Criner, Raphael Bueno, George R Washko, Kimberly Glass, John Quackenbush, Augustine M K Choi, Edwin K Silverman, Craig P Hersh
In comparison to genome-wide association studies (GWAS), there has been poor replication of gene expression studies in chronic obstructive pulmonary disease (COPD). We performed microarray gene expression profiling on a large sample of resected lung tissues from subjects with severe COPD. Comparing 111 COPD cases and 40 control smokers, 204 genes were differentially expressed; none were at significant GWAS loci. The top differentially expressed gene was HMGB1, which interacts with AGER, a known COPD GWAS gene...
March 13, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28283027/integrated-analysis-of-genetic-behavioral-and-biochemical-data-implicates-neural-stem-cell-induced-changes-in-immunity-neurotransmission-and-mitochondrial-function-in-dementia-with-lewy-body-mice
#14
Anita Lakatos, Natalie R S Goldberg, Mathew Blurton-Jones
We previously demonstrated that transplantation of murine neural stem cells (NSCs) can improve motor and cognitive function in a transgenic model of Dementia with Lewy Bodies (DLB). These benefits occurred without changes in human α-synuclein pathology and were mediated in part by stem cell-induced elevation of brain-derived neurotrophic factor (BDNF). However, instrastriatal NSC transplantation likely alters the brain microenvironment via multiple mechanisms that may synergize to promote cognitive and motor recovery...
March 10, 2017: Acta Neuropathologica Communications
https://www.readbyqxmd.com/read/28266556/integrative-diffusion-weighted-imaging-and-radiogenomic-network-analysis-of-glioblastoma-multiforme
#15
Dieter Henrik Heiland, Carl Philipp Simon-Gabriel, Theo Demerath, Gerrit Haaker, Dietmar Pfeifer, Elias Kellner, Valerij G Kiselev, Ori Staszewski, Horst Urbach, Astrid Weyerbrock, Irina Mader
In the past, changes of the Apparent Diffusion Coefficient in glioblastoma multiforme have been shown to be related to specific genes and described as being associated with survival. The purpose of this study was to investigate diffusion imaging parameters in combination with genome-wide expression data in order to obtain a comprehensive characterisation of the transcriptomic changes indicated by diffusion imaging parameters. Diffusion-weighted imaging, molecular and clinical data were collected prospectively in 21 patients...
March 7, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28260099/identification-of-prognostic-genes-in-kidney-renal-clear-cell-carcinoma-by-rna%C3%A2-seq-data-analysis
#16
Yanqin Gu, Linfeng Lu, Lingfeng Wu, Hao Chen, Wei Zhu, Yi He
The present study aimed to analyze RNA-seq data of kidney renal clear cell carcinoma (KIRC) to identify prognostic genes. RNA‑seq data were downloaded from The Cancer Genome Atlas. Feature genes with a coefficient of variation (CV) >0.5 were selected using the genefilter package in R. Gene co‑expression networks were constructed with the WGCNA package. Cox regression analysis was performed using the survive package. Furthermore, a functional enrichment analysis was conducted using Database for Annotation, Visualization and Integrated Discovery tools...
April 2017: Molecular Medicine Reports
https://www.readbyqxmd.com/read/28259920/identification-of-the-key-genes-implicated-in-the-transformation-of-olp-to-oscc-using-rna-sequencing
#17
Qiaozhen Yang, Bin Guo, Hongying Sun, Jie Zhang, Shangfeng Liu, Saiyin Hexige, Xuedi Yu, Xiaxia Wang
Oral lichen planus (OLP) is a chronic inflammatory disease that may transform to oral squamous cell carcinoma (OSCC), while its carcinogenesis mechanisms are not entirely clear. This study was designed to identify the important genes involved in the malignant transformation of OLP to OSCC. After RNA-sequencing, the differently expressed genes (DEGs) in OLP vs. normal and OSCC vs. normal groups, respectively, were identified by limma package in R language, and then clustering analysis were conducted by Pheatmap package in R language...
April 2017: Oncology Reports
https://www.readbyqxmd.com/read/28205147/identification-of-candidate-mirna-biomarkers-for-pancreatic-ductal-adenocarcinoma-by-weighted-gene-co-expression-network-analysis
#18
M Giulietti, G Occhipinti, G Principato, F Piva
PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a dismal prognosis which is, among others, due to a lack of suitable biomarkers and therapeutic targets. Previously, basic gene expression analysis methods have been used for their identification, but recently new algorithms have been developed allowing more comprehensive data analyses. Among them, weighted gene co-expression network analysis (WGCNA) has already been applied to several cancer types with promising results...
April 2017: Cellular Oncology (Dordrecht)
https://www.readbyqxmd.com/read/28203405/weighted-gene-co-expression-network-analysis-in-identification-of-metastasis-related-genes-of-lung-squamous-cell-carcinoma-based-on-the-cancer-genome-atlas-database
#19
Feng Tian, Jinlong Zhao, Xinlei Fan, Zhenxing Kang
BACKGROUND: Lung squamous cell carcinoma (lung SCC) is a common type of malignancy. Its pathogenesis mechanism of tumor development is unclear. The aim of this study was to identify key genes for diagnosis biomarkers in lung SCC metastasis. METHODS: We searched and downloaded mRNA expression data and clinical data from The Cancer Genome Atlas (TCGA) database to identify differences in mRNA expression of primary tumor tissues from lung SCC with and without metastasis...
January 2017: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/28197160/digital-gene-expression-analysis-provides-insight-into-the-transcript-profile-of-the-genes-involved-in-aporphine-alkaloid-biosynthesis-in-lotus-nelumbo-nucifera
#20
Mei Yang, Lingping Zhu, Ling Li, Juanjuan Li, Liming Xu, Ji Feng, Yanling Liu
The predominant alkaloids in lotus leaves are aporphine alkaloids. These are the most important active components and have many pharmacological properties, but little is known about their biosynthesis. We used digital gene expression (DGE) technology to identify differentially-expressed genes (DEGs) between two lotus cultivars with different alkaloid contents at four leaf development stages. We also predicted potential genes involved in aporphine alkaloid biosynthesis by weighted gene co-expression network analysis (WGCNA)...
2017: Frontiers in Plant Science
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