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Network gene function prediction

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https://www.readbyqxmd.com/read/28643166/structural-disorder-in-plant-proteins-where-plasticity-meets-sessility
#1
REVIEW
Alejandra A Covarrubias, Cesar L Cuevas-Velazquez, Paulette S Romero-Pérez, David F Rendón-Luna, Caspar C C Chater
Plants are sessile organisms. This intriguing nature provokes the question of how they survive despite the continual perturbations caused by their constantly changing environment. The large amount of knowledge accumulated to date demonstrates the fascinating dynamic and plastic mechanisms, which underpin the diverse strategies selected in plants in response to the fluctuating environment. This phenotypic plasticity requires an efficient integration of external cues to their growth and developmental programs that can only be achieved through the dynamic and interactive coordination of various signaling networks...
June 22, 2017: Cellular and Molecular Life Sciences: CMLS
https://www.readbyqxmd.com/read/28642634/analysis-of-map-kinase-mpk4-mekk1-mkk-genes-of-carica-papaya-l-comparative-to-other-plant-homologues
#2
Muhammad Hanam Hamid, Lina Rozano, Wee Chien Yeong, Janna Ong Abdullah, Noor Baity Saidi
Mitogen-activated protein kinase 4 (MPK4) interacts with the (Mitogen-activated protein kinase kinase kinase 1) MEKK1/ Mitogenactivated protein kinase kinase 1 (MKK1)/ Mitogen-activated protein kinase kinase 2 (MKK2) complex to affect its function in plant development or against pathogen attacks. The KEGG (Kyoto Encyclopedia of Genes and Genomes) network analysis of Arabidopsis thaliana revealed close interactions between those four genes in the same plant-pathogen interaction pathway, which warrants further study of these genes due to their evolutionary conservation in different plant species...
2017: Bioinformation
https://www.readbyqxmd.com/read/28641312/impact-of-novel-mir-145-3p-regulatory-networks-on-survival-in-patients-with-castration-resistant-prostate-cancer
#3
Yusuke Goto, Akira Kurozumi, Takayuki Arai, Nijiro Nohata, Satoko Kojima, Atsushi Okato, Mayuko Kato, Kazuto Yamazaki, Yasuo Ishida, Yukio Naya, Tomohiko Ichikawa, Naohiko Seki
BACKGROUND: Despite recent advancements, metastatic castration-resistant prostate cancer (CRPC) is not considered curative. Novel approaches for identification of therapeutic targets of CRPC are needed. METHODS: Next-generation sequencing revealed 945-1248 miRNAs from each lethal mCRPC sample. We constructed miRNA expression signatures of CRPC by comparing the expression of miRNAs between CRPC and normal prostate tissue or hormone-sensitive prostate cancer (HSPC)...
June 22, 2017: British Journal of Cancer
https://www.readbyqxmd.com/read/28638442/computational-dynamic-approaches-for-temporal-omics-data-with-applications-to-systems-medicine
#4
REVIEW
Yulan Liang, Arpad Kelemen
Modeling and predicting biological dynamic systems and simultaneously estimating the kinetic structural and functional parameters are extremely important in systems and computational biology. This is key for understanding the complexity of the human health, drug response, disease susceptibility and pathogenesis for systems medicine. Temporal omics data used to measure the dynamic biological systems are essentials to discover complex biological interactions and clinical mechanism and causations. However, the delineation of the possible associations and causalities of genes, proteins, metabolites, cells and other biological entities from high throughput time course omics data is challenging for which conventional experimental techniques are not suited in the big omics era...
2017: BioData Mining
https://www.readbyqxmd.com/read/28636461/genice-a-novel-framework-for-gene-network-inference-by-clustering-exhaustive-search-and-multivariate-analysis
#5
Ricardo de Souza Jacomini, David Correa Martins-Jr, Felipe Leno da Silva, Anna Helena Reali Costa
Gene network (GN) inference from temporal gene expression data is a crucial and challenging problem in systems biology. Expression data sets usually consist of dozens of temporal samples, while networks consist of thousands of genes, thus rendering many inference methods unfeasible in practice. To improve the scalability of GN inference methods, we propose a novel framework called GeNICE, based on probabilistic GNs; the main novelty is the introduction of a clustering procedure to group genes with related expression profiles and to provide an approximate solution with reduced computational complexity...
June 21, 2017: Journal of Computational Biology: a Journal of Computational Molecular Cell Biology
https://www.readbyqxmd.com/read/28629469/a-putative-molecular-network-associated-with-colon-cancer-metastasis-constructed-from-microarray-data
#6
Songtao Chu, Haipeng Wang, Miao Yu
BACKGROUND: This study aimed to identify the potential molecular network associated with colon cancer metastasis. METHODS: A gene expression profile dataset (GSE40367) downloaded from Gene Expression Omnibus was used to identify and compare differentially expressed genes (DEGs) between primary colon adenocarcinoma tissues and matched tissue samples of liver metastases of colon adenocarcinoma. After the functional analysis of the DEGs, their protein-protein interactions (PPIs) were analyzed, and the transcription factors (TFs) and microRNAs (miRNAs) that regulated these DEGs were predicted...
June 19, 2017: World Journal of Surgical Oncology
https://www.readbyqxmd.com/read/28627690/data-mining-and-pathway-analysis-of-glucose-6-phosphate-dehydrogenase-with-natural-language-processing
#7
Long Chen, Chunhua Zhang, Yanling Wang, Yuqian Li, Qiaoqiao Han, Huixin Yang, Yuechun Zhu
Human glucose-6-phosphate dehydrogenase (G6PD) is a crucial enzyme in the pentose phosphate pathway, and serves an important role in biosynthesis and the redox balance. G6PD deficiency is a major cause of neonatal jaundice and acute hemolyticanemia, and recently, G6PD has been associated with diseases including inflammation and cancer. The aim of the present study was to conduct a search of the National Center for Biotechnology Information PubMed library for articles discussing G6PD. Genes that were identified to be associated with G6PD were recorded, and the frequency at which each gene appeared was calculated...
June 15, 2017: Molecular Medicine Reports
https://www.readbyqxmd.com/read/28626165/identification-and-functional-profiling-of-differentially-expressed-long-non-coding-rnas-in-nasal-mucosa-with-allergic-rhinitis
#8
Zhiqi Ma, Yaoshu Teng, Xiang Liu, Jing Li, Jiangwei Mo, Min Sha, Yong Li
Long non-coding RNAs (lncRNAs) have been proved to play important roles in a variety of human immune diseases. However, their pathological effects on the development of allergic rhinitis (AR) have not been clearly understood. The aim of this study was to determine the expression profile of lncRNAs in nasal mucosa of AR patients by lncRNA microarray and to predict potential roles of specific lncRNAs in the pathogenic mechanisms of AR by analysis of lncRNA-mRNA co-expression network, Gene Ontology (GO) and pathway...
2017: Tohoku Journal of Experimental Medicine
https://www.readbyqxmd.com/read/28623591/predicting-transcription-factor-binding-sites-and-their-cognate-transcription-factors-using-gene-expression-data
#9
Chun-Ping Yu, Wen-Hsiung Li
A transcription factor (TF) is a DNA binding protein that targets specific binding-sites (TFBSs) to regulate the transcript levels of its downstream genes. Thus, identifying the TF-TFBS pairs is a pivotal step in understanding the function of TFs and the regulatory network in an organism. Here, we describe two methods for predicting the TFBS of a given TF and for predicting the cognate TF of a given TFBS from a set of strongly co-expressed genes, using time-course transcriptome data of maize developing leaves...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623589/aranet-a-network-biology-server-for-arabidopsis-thaliana-and-other-non-model-plant-species
#10
Tak Lee, Insuk Lee
Functional gene networks link genes based on their functional relatedness, which is inferred from various complementary biological datasets. Gene networks comprising vast amounts of data can be used to predict which genes are associated with complex traits. Decades of studies in plant biology using the model organism Arabidopsis thaliana have generated large amounts of information, enabling the development of a system-level molecular network. AraNet (currently version 2) is a genome-scale functional gene network for Arabidopsis thaliana, constructed by integrating 19 types of genomics data and can be explored through a web-server (http://www...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28623581/analysis-of-a-plant-transcriptional-regulatory-network-using-transient-expression-systems
#11
Sara Díaz-Triviño, Yuchen Long, Ben Scheres, Ikram Blilou
In plant biology, transient expression systems have become valuable approaches used routinely to rapidly study protein expression, subcellular localization, protein-protein interactions, and transcriptional activity prior to in vivo studies. When studying transcriptional regulation, luciferase reporter assays offer a sensitive readout for assaying promoter behavior in response to different regulators or environmental contexts and to confirm and assess the functional relevance of predicted binding sites in target promoters...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28620443/pattern-recognition-for-predictive-preventive-and-personalized-medicine-in-cancer
#12
REVIEW
Tingting Cheng, Xianquan Zhan
Predictive, preventive, and personalized medicine (PPPM) is the hot spot and future direction in the field of cancer. Cancer is a complex, whole-body disease that involved multi-factors, multi-processes, and multi-consequences. A series of molecular alterations at different levels of genes (genome), RNAs (transcriptome), proteins (proteome), peptides (peptidome), metabolites (metabolome), and imaging characteristics (radiome) that resulted from exogenous and endogenous carcinogens are involved in tumorigenesis and mutually associate and function in a network system, thus determines the difficulty in the use of a single molecule as biomarker for personalized prediction, prevention, diagnosis, and treatment for cancer...
March 2017: EPMA Journal
https://www.readbyqxmd.com/read/28615364/common-genetic-variation-and-susceptibility-to-ovarian-cancer-current-insights-and-future-directions
#13
Siddhartha P Kar, Andrew Berchuck, Simon A Gayther, Ellen L Goode, Kirsten B Moysich, Celeste Leigh Pearce, Susan J Ramus, Joellen M Schildkraut, Thomas A Sellers, Paul D P Pharoah
In this review, we summarize current progress in the genetic epidemiology of epithelial ovarian cancer (EOC), focusing exclusively on elucidating the role of common germline genetic variation in conferring susceptibility to EOC. We provide an overview of the more than 30 EOC risk loci identified to date by genome-wide association studies (GWAS) and describe the contribution of large-scale, cross-cancer type, custom genotyping projects such as the OncoArray and the Collaborative Oncological Gene-Environment Study to locus discovery and replication...
June 14, 2017: Cancer Epidemiology, Biomarkers & Prevention
https://www.readbyqxmd.com/read/28602952/a-novel-technique-to-combine-and-analyse-spatial-and-temporal-expression-datasets-a-case-study-with-the-sea-anemone-nematostella-vectensis-to-identify-potential-gene-interactions
#14
Amir M Abdol, Eric Röttinger, Fredrik Jansson, Jaap A Kaandorp
Understanding genetic interactions during early development of a given organism, is the first step toward unveiling gene regulatory networks (GRNs) that govern a biological process of interest. Predicting such interactions from large expression datasets by performing targeted knock-down/knock-out approaches is a challenging task. We use the currently available expression datasets (in situ hybridization images & qPCR time series) for a basal anthozoan the sea anemone N. vectensis to construct continuous spatiotemporal gene expression patterns during its early development...
June 8, 2017: Developmental Biology
https://www.readbyqxmd.com/read/28601573/upregulation-of-cyclin-b1-plays-potential-roles-in-the-invasiveness-of-pituitary-adenomas
#15
Peng Zhao, Pengfei Zhang, Wei Hu, Hongyun Wang, Guoqiang Yu, Zhuang Wang, Chuzhong Li, Jiwei Bai, Yazhuo Zhang
Predicting aggressive or malignant behavior of pituitary adenomas (PAs) remains challenging. Aberrant expression of cyclin B1 (CCNB1) occurred in various tumors including PAs. Our study was aimed to explore its roles in the development of PAs aggressiveness. According to the integrated analysis, the expression of CCNB1 was evaluated. Following bioinformatics analysis was performed to uncover the pathways CCNB1 involved in and the upstream transcriptional regulation factors. The mRNA expression of CCNB1 was verified by qRT-PCR...
June 7, 2017: Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia
https://www.readbyqxmd.com/read/28589859/integrative-information-theoretic-network-analysis-for-genome-wide-association-study-of-aspirin-exacerbated-respiratory-disease-in-korean-population
#16
Sehee Wang, Hyun-Hwan Jeong, Dokyoon Kim, Kyubum Wee, Hae-Sim Park, Seung-Hyun Kim, Kyung-Ah Sohn
BACKGROUND: Aspirin Exacerbated Respiratory Disease (AERD) is a chronic medical condition that encompasses asthma, nasal polyposis, and hypersensitivity to aspirin and other non-steroidal anti-inflammatory drugs. Several previous studies have shown that part of the genetic effects of the disease may be induced by the interaction of multiple genetic variants. However, heavy computational cost as well as the complexity of the underlying biological mechanism has prevented a thorough investigation of epistatic interactions and thus most previous studies have typically considered only a small number of genetic variants at a time...
May 24, 2017: BMC Medical Genomics
https://www.readbyqxmd.com/read/28588641/the-significant-pathways-and-genes-underlying-the-colon-cancer-treatment-by-the-traditional-chinese-medicine-phy906
#17
Ziyuan Su, Changyu Zhou, Shaoyou Qin, Erna Jia, Zhenting Wu
BACKGROUND: We attempted to explore the molecular mechanism underlying PHY906 intervention of colon cancer. METHODS: The microarray data of tumors treated by PHY906 and PBS alone were downloaded from the public Gene Expression Omnibus database. The dataset was further analyzed for the differentially expressed genes (DEGs) and their related biological functions were analyzed, followed by function and pathways. Protein-protein interaction (PPI) network was constructed and the significant nodes were screened by network centralities and then the significant modules analysis...
2017: Evidence-based Complementary and Alternative Medicine: ECAM
https://www.readbyqxmd.com/read/28588354/pax6-binds-to-promoter-sequence-elements-associated-with-immunological-surveillance-and-energy-homeostasis-in-brain-of-aging-mice
#18
Shashank Kumar Maurya, Rajnikant Mishra
BACKGROUND: Patients having mutations of Pax6 bear phenotypes that match age-associated neurological disorders. Mutations affect most cellular functions such as cell division, growth, differentiation, and cell death in brain, eyes, pituitary, pineal, and pancreas. The progressive reduction in the level of Pax6 during aging has also been observed. However, information about downstream targets of Pax6 in brain is unclear. Therefore, it is presumed that age-dependent alterations of Pax6 may also affect cascades of promoter sequence recognition in brain during aging...
May 2017: Annals of Neurosciences
https://www.readbyqxmd.com/read/28588348/analysis-of-microarray-identified-genes-and-micrornas-associated-with-idiopathic-pulmonary-fibrosis
#19
Lichao Fan, Xiaoting Yu, Ziling Huang, Shaoqiang Zheng, Yongxin Zhou, Hanjing Lv, Yu Zeng, Jin-Fu Xu, Xuyou Zhu, Xianghua Yi
The aim of this study was to identify potential microRNAs and genes associated with idiopathic pulmonary fibrosis (IPF) through web-available microarrays. The microRNA microarray dataset GSE32538 and the mRNA datasets GSE32537, GSE53845, and GSE10667 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DE-miRNAs)/genes (DEGs) were screened with GEO2R, and their associations with IPF were analyzed by comprehensive bioinformatic analyses. A total of 45 DE-microRNAs were identified between IPF and control tissues, whereas 67 common DEGs were determined to exhibit the same expression trends in all three microarrays...
2017: Mediators of Inflammation
https://www.readbyqxmd.com/read/28587396/identification-of-the-mirna-target-gene-regulatory-network-in-intracranial-aneurysm-based-on-microarray-expression-data
#20
Kezhen Wang, Xinmin Wang, Hongzhu Lv, Chengzhi Cui, Jiyong Leng, Kai Xu, Guosong Yu, Jianwei Chen, Peiyu Cong
Intracranial aneurysm (IA) remains one of the most devastating neurological conditions. However, the pathophysiology of IA formation and rupture still remains unclear. The purpose of the present study was to identify the crucial microRNA (miRNA/miR) and genes involved in IAs and elucidate the mechanisms underlying the development of IAs. In the present study, novel miRNA regulation activities in IAs were investigated through the integration of public gene expression data of miRNA and mRNA using the Gene Expression Omnibus database, combined with bioinformatics prediction...
June 2017: Experimental and Therapeutic Medicine
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