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Network gene function prediction

Joachim Niehren, Cristian Versari, Mathias John, François Coutte, Philippe Jacques
We wish to predict changes of reaction networks with partial kinetic information that lead to target changes of their steady states. The changes may be either increases or decreases of influxes, reaction knockouts, or multiple changes of these two kinds. Our prime applications are knockout prediction tasks for metabolic and regulation networks. In a first step, we propose a formal modeling language for reaction networks with partial kinetic information. The modeling language has a graphical syntax reminiscent to Petri nets...
October 18, 2016: Bio Systems
Xinyi Liu, Dongfei Feng, Dianming Liu, Shuyuan Wang, Xuexin Yu, Enyu Dai, Jing Wang, Lihong Wang, Wei Jiang
BACKGROUND: Breast cancer is the most common incident form of cancer in women including different subtypes. Cancer stem cells (CSCs) have been confirmed to exist in breast cancer. But the research on the origin of breast cancer subtype stem cells (BCSSCs) is still inadequate. METHODS: We identified the putative origin cells of BCSSCs through comparing gene signatures between BCSSCs and normal mammary cells from multiple perspectives: common signature, expression consistency, functional similarity and shortest path length...
2016: PloS One
Navadon Khunlertgit, Byung-Jun Yoon
BACKGROUND: Discovering robust markers for cancer prognosis based on gene expression data is an important yet challenging problem in translational bioinformatics. By integrating additional information in biological pathways or a protein-protein interaction (PPI) network, we can find better biomarkers that lead to more accurate and reproducible prognostic predictions. In fact, recent studies have shown that, "modular markers," that integrate multiple genes with potential interactions can improve disease classification and also provide better understanding of the disease mechanisms...
October 6, 2016: BMC Bioinformatics
Xue Jiang, Lichun Feng, Baoqiang Dai, Liping Li, Weiwei Lu
INTRODUCTION: Nasopharyngeal carcinoma is the most common cancer originating from the nasopharynx. OBJECTIVE: To study the mechanisms of nasopharyngeal carcinoma, we analyzed GSE12452 microarray data. METHODS: GSE12452 was downloaded from the Gene Expression Omnibus database and included 31 nasopharyngeal carcinoma samples and 10 normal nasopharyngeal tissue samples. The differentially expressed genes were screened by ANOVA in the PGS package...
September 26, 2016: Brazilian Journal of Otorhinolaryngology
Hasseeb Azzawi, Jingyu Hou, Yong Xiang, Russul Alanni
Lung cancer is a leading cause of cancer-related death worldwide. The early diagnosis of cancer has demonstrated to be greatly helpful for curing the disease effectively. Microarray technology provides a promising approach of exploiting gene profiles for cancer diagnosis. In this study, the authors propose a gene expression programming (GEP)-based model to predict lung cancer from microarray data. The authors use two gene selection methods to extract the significant lung cancer related genes, and accordingly propose different GEP-based prediction models...
October 2016: IET Systems Biology
Qiangfeng Wang, Huanxia Yang, Lingjiao Wu, Jian Yao, Xiaohua Meng, Han Jiang, Cheng Xiao, Fusheng Wu
BACKGROUND: In recent years, long non-coding RNAs (lncRNAs) have been shown to play a critical regulatory role in cancer biology. However, the contribution of lncRNAs to papillary thyroid cancer (PTC) remains largely unknown. METHODS: RNA sequencing and quantitative reverse transcription PCR (qRT-PCR) were used to detect and verify, respectively, changes to the transcriptomic profile in 12 PTC tissues compared to paired normal adjacent tissues. The statistical correlation between differentially expressed lncRNAs and clinicopathological characteristics was analysed, and potential lncRNA functions were predicted by examining annotations for the co-expressed mRNAs...
October 19, 2016: Thyroid: Official Journal of the American Thyroid Association
Zhanzhan Xu, Yu Zhou, Yexuan Cao, Thi Lan Anh Dinh, Jing Wan, Min Zhao
Ovarian cancer is the first leading cause of mortality in gynecological malignancies. To identify key genes and microRNAs in ovarian cancer, mRNA microarray dataset GSE36668, GSE18520, GSE14407 and microRNA dataset GSE47841 were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and microRNAs (DEMs) were obtained using GEO2R. Functional and pathway enrichment analysis were performed for DEGs using DAVID database. Protein-protein interaction (PPI) network was established by STRING and visualized by Cytoscape...
November 2016: Medical Oncology
Johannes F Wentzel, Martani J Lombard, Lissinda H Du Plessis, Lizelle Zandberg
Mycotoxins are toxic secondary metabolites produced by a range of fungi and are common contaminants of agricultural crops. These toxins are chemically diverse and structurally stable, enabling them to enter the food chain which can lead to numerous adverse health effects in animals and humans. Although mycotoxin exposure is associated with the development of several cancers, it has proved challenging to show a direct connection between exposure and oncogenic change. This study investigates the in vitro cytotoxicity, molecular mechanisms and secondary signalling responses associated with the exposure to three major mycotoxins, fumonisin B1 (FB1), deoxynivalenol (Don) and zearalenone (Zea)...
October 18, 2016: Archives of Toxicology
Zhi Chen, Hao Wu, Guohua Wang, Ye Feng
BACKGROUND: This study was aimed to explore the molecular mechanisms of hypertensive nephropathy (HTN). METHODS: Gene expression profile of GSE37460, which based on 27 healthy living donor samples (HTN group) and 15 hypertensive nephropathy samples (control group), were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between two groups were identified. STRING database was used to reveal protein-protein interaction (PPI) network of DEGs, followed by the functional enrichment analysis of the PPI network...
October 18, 2016: BMC Nephrology
Salma Jamal, Sukriti Goyal, Asheesh Shanker, Abhinav Grover
BACKGROUND: Alzheimer's disease (AD) is a complex progressive neurodegenerative disorder commonly characterized by short term memory loss. Presently no effective therapeutic treatments exist that can completely cure this disease. The cause of Alzheimer's is still unclear, however one of the other major factors involved in AD pathogenesis are the genetic factors and around 70 % risk of the disease is assumed to be due to the large number of genes involved. Although genetic association studies have revealed a number of potential AD susceptibility genes, there still exists a need for identification of unidentified AD-associated genes and therapeutic targets to have better understanding of the disease-causing mechanisms of Alzheimer's towards development of effective AD therapeutics...
October 18, 2016: BMC Genomics
Jessica A Castillo, Clinton W Epps, Mackenzie R Jeffress, Chris Ray, Thomas J Rodhouse, Donelle Schwalm
Landscape connectivity is essential for maintaining viable populations, particularly for species restricted to fragmented habitats or naturally arrayed in metapopulations and facing rapid climate change. The importance of assessing both structural connectivity (physical distribution of favorable habitat patches) and functional connectivity (how species move among habitat patches) for managing such species is well understood. However, the degree to which functional connectivity for a species varies among landscapes, and the resulting implications for conservation, have rarely been assessed...
September 2016: Ecological Applications: a Publication of the Ecological Society of America
Shazia Nafis, Kalaiarasan Ponnusamy, Mohammad Husain, R K Brojen Singh, Rameshwar N K Bamezai
An experimentally validated set of apoptosis-regulatory proteins was subjected to network analysis, depicting a scale-free hierarchical fractal network. The power-law distribution of the various topological properties of the network revealed the fractal nature of the network, a signature of self-organization of the network where the network maintained the democratic constitution of nodes at various levels and showed the absence of the centrality-lethality control system. Even though network breakdown under the absence of the centrality-lethality rule of hub removal did not happen, the change in the topological properties of the network could be observed...
October 18, 2016: Molecular BioSystems
Maksim Kitsak, Amitabh Sharma, Jörg Menche, Emre Guney, Susan Dina Ghiassian, Joseph Loscalzo, Albert-László Barabási
Genes carrying mutations associated with genetic diseases are present in all human cells; yet, clinical manifestations of genetic diseases are usually highly tissue-specific. Although some disease genes are expressed only in selected tissues, the expression patterns of disease genes alone cannot explain the observed tissue specificity of human diseases. Here we hypothesize that for a disease to manifest itself in a particular tissue, a whole functional subnetwork of genes (disease module) needs to be expressed in that tissue...
October 17, 2016: Scientific Reports
Jing-Yi Li, Li-Li Zheng, Ting-Ting Wang, Min Hu
BACKGROUND: Melanoma is a type of cancer that develops from the pigment-containing cells. Until now, its pathological mechanisms remain largely unknown. The aim of this study was to identify metastasis-related microRNA (miRNAs) and gain an understanding of the biological functions in the metastasis of melanoma. METHODS: We searched the PubMed and Gene Expression Omnibus database to collect miRNA expression profiling datasets about melanoma, with key words of "melanoma", "miRNA", "microarray", and "gene expression profiling"...
2016: Chinese Medical Journal
Daeyong Jin, Hyunju Lee
MicroRNAs (miRNAs) are small non-coding RNAs regulating the expression of target genes, and they are involved in cancer initiation and progression. Even though many cancer-related miRNAs were identified, their functional impact may vary, depending on their effects on the regulation of other miRNAs and genes. In this study, we propose a novel method for the prioritization of candidate cancer-related miRNAs that may affect the expression of other miRNAs and genes across the entire biological network. For this, we propose three important features: the average expression of a miRNA in multiple cancer samples, the average of the absolute correlation values between the expression of a miRNA and expression of all genes, and the number of predicted miRNA target genes...
October 13, 2016: Scientific Reports
Vishal Kumar, Mehak Baweja, Puneet K Singh, Pratyoosh Shukla
Microorganisms play a crucial role in the sustainability of the various ecosystems. The characterization of various interactions between microorganisms and other biotic factors is a necessary footstep to understand the association and functions of microbial communities. Among the different microbial interactions in an ecosystem, plant-microbe interaction plays an important role to balance the ecosystem. The present review explores plant-microbe interactions using gene editing and system biology tools toward the comprehension in improvement of plant traits...
2016: Frontiers in Plant Science
Harvey B Pollard, Chittari Shivakumar, Joshua Starr, Ofer Eidelman, David M Jacobowitz, Clifton L Dalgard, Meera Srivastava, Matthew D Wilkerson, Murray B Stein, Robert J Ursano
"Soldier's Heart," is an American Civil War term linking post-traumatic stress disorder (PTSD) with increased propensity for cardiovascular disease (CVD). We have hypothesized that there might be a quantifiable genetic basis for this linkage. To test this hypothesis we identified a comprehensive set of candidate risk genes for PTSD, and tested whether any were also independent risk genes for CVD. A functional analysis algorithm was used to identify associated signaling networks. We identified 106 PTSD studies that report one or more polymorphic variants in 87 candidate genes in 83,463 subjects and controls...
2016: Frontiers in Molecular Neuroscience
Michael R Brent
One of the principal mechanisms by which cells differentiate and respond to changes in external signals or conditions is by changing the activity levels of transcription factors (TFs). This changes the transcription rates of target genes via the cell's TF network, which ultimately contributes to reconfiguring cellular state. Since microarrays provided our first window into global cellular state, computational biologists have eagerly attacked the problem of mapping TF networks, a key part of the cell's control circuitry...
November 2016: Trends in Genetics: TIG
Catherine E Isom, Smita K Menon, Leonard M Thomas, Ann H West, George B Richter-Addo, Elizabeth A Karr
BACKGROUND: Clostridium difficile is a spore-forming obligate anaerobe that can remain viable for extended periods, even in the presence of antibiotics, which contributes to the persistence of this bacterium as a human pathogen during host-to-host transmission and in hospital environments. We examined the structure and function of a gene product with the locus tag CDR20291_0991 (cdPadR1) as part of our broader goal aimed at elucidating transcription regulatory mechanisms involved in virulence and antibiotic resistance of the recently emergent hypervirulent C...
October 4, 2016: BMC Microbiology
Fan Yi, Xiao-Lei Tan, Xin Yan, Hai-Bo Liu
BACKGROUND: Lepidium meyenii Walpers (maca) is an herb known as a traditional nutritional supplement and widely used in Peru, North America, and Europe to enhance human fertility and treat osteoporosis. The secondary metabolites of maca, namely, maca alkaloids, macaenes, and macamides, are bioactive compounds, but their targets are undefined. METHODS: The pharmacophore-based PharmaDB targets database screening joint the ligand shape similarity-based WEGA validation approach is proposed to predict the targets of these unique constituents and was performed using Discovery Studio 4...
2016: Chinese Medicine
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