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Abiotic Stress: Molecular Genetics and Genomics

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889193592 Year: Pages: 101 DOI: 10.3389/978-2-88919-359-2 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Botany
Added to DOAB on : 2015-11-16 15:44:59
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Abiotic stresses are the major cause that limits productivity of crop plants worldwide. Plants have developed intricate machinery to respond and adapt over these adverse environmental conditions both at physiological and molecular levels. Due to increasing problems of abiotic stresses, plant biotechnologists and breeders need to employ new approaches to improve abiotic stress tolerance in crop plants. Although current research has divulged several key genes, gene regulatory networks and quantitative trait loci that mediate plant responses to various abiotic stresses, the comprehensive understanding of this complex trait is still not available. This e-book is focused on molecular genetics and genomics approaches to understand the plant response/adaptation to various abiotic stresses. It includes different types of articles (original research, method, opinion and review) that provide current insights into different aspects of plant responses and adaptation to abiotic stresses.

Computational Systems Biology of Pathogen-Host Interactions

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889198214 Year: Pages: 198 DOI: 10.3389/978-2-88919-821-4 Language: English
Publisher: Frontiers Media SA
Subject: Microbiology --- Science (General)
Added to DOAB on : 2016-01-19 14:05:46
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A thorough understanding of pathogenic microorganisms and their interactions with host organisms is crucial to prevent infectious threats due to the fact that Pathogen-Host Interactions (PHIs) have critical roles in initiating and sustaining infections. Therefore, the analysis of infection mechanisms through PHIs is indispensable to identify diagnostic biomarkers and next-generation drug targets and then to develop strategic novel solutions against drug-resistance and for personalized therapy. Traditional approaches are limited in capturing mechanisms of infection since they investigate hosts or pathogens individually. On the other hand, the systems biology approach focuses on the whole PHI system, and is more promising in capturing infection mechanisms. Here, we bring together studies on the below listed sections to present the current picture of the research on Computational Systems Biology of Pathogen-Host Interactions:- Computational Inference of PHI Networks using Omics Data- Computational Prediction of PHIs- Text Mining of PHI Data from the Literature- Mathematical Modeling and Bioinformatic Analysis of PHIs Computational Inference of PHI Networks using Omics Data Gene regulatory, metabolic and protein-protein networks of PHI systems are crucial for a thorough understanding of infection mechanisms. Great advances in molecular biology and biotechnology have allowed the production of related omics data experimentally. Many computational methods are emerging to infer molecular interaction networks of PHI systems from the corresponding omics data. Computational Prediction of PHIs Due to the lack of experimentally-found PHI data, many computational methods have been developed for the prediction of pathogen-host protein-protein interactions. Despite being emerging, currently available experimental PHI data are far from complete for a systems view of infection mechanisms through PHIs. Therefore, computational methods are the main tools to predict new PHIs. To this end, the development of new computational methods is of great interest. Text Mining of PHI Data from Literature Despite the recent development of many PHI-specific databases, most data relevant to PHIs are still buried in the biomedical literature, which demands for the use of text mining techniques to unravel PHIs hidden in the literature. Only some rare efforts have been performed to achieve this aim. Therefore, the development of novel text mining methods specific for PHI data retrieval is of key importance for efficient use of the available literature. Mathematical Modeling and Bioinformatic Analysis of PHIs After the reconstruction of PHI networks experimentally and/or computationally, their mathematical modeling and detailed computational analysis is required using bioinformatics tools to get insights on infection mechanisms. Bioinformatics methods are increasingly applied to analyze the increasing amount of experimentally-found and computationally-predicted PHI data. Acknowledgements: We, editors of this e-book, acknowledge Emrah Nikerel (Yeditepe University, Turkey) and Arzucan Özgür (Bogaaziçi University, Turkey) for their contributions during the initiation of the Research Topic.

Regulatory microRNA

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ISBN: 9783038977681 9783038977698 Year: Pages: 348 DOI: 10.3390/books978-3-03897-769-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Genetics
Added to DOAB on : 2019-04-25 16:37:17
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Abstract

This book includes updated information about microRNA regulation, for example, in the fields of circular RNAs, multiomics analysis, biomarkers and oncogenes. The variety of topics included in this book reaffirms the extent to which microRNA regulation affects biological processes. Although microRNAs are not translated to proteins, their importance for biological processes is not less than proteins. An understanding of their roles in various biological processes is critical to understanding gene function in these biological processes. Although non-coding RNAs other than microRNAs have recently come under investigation, microRNA still remains the front runner as the subject of genetic and biological studies. In reading the collection of papers, readers can grasp the most updated information regarding microRNA regulation, which will continue to be an important topic in genetics and biology.

Keywords

tensor decomposition --- miRNA transfection --- sequence-nonspecific off-target regulation --- extracellular vesicles --- cancer --- therapeutics --- miRNA --- virus --- host --- Cross-Kingdom --- target prediction --- microRNAs --- autophagy --- mitophagy --- cardiac diseases --- biomarker --- calf --- Ileum --- miRNA-mRNA integration --- miRNA sequencing --- growth --- development --- microRNA --- myelodysplastic syndromes --- acute myeloid leukemia --- azacitidine --- 14q32 --- MEG3 --- autophagy regulator --- transcriptional factor --- non-coding RNA --- regulatory network --- RWR algorithm --- circular RNA --- circFGFR2 --- FGFR2 --- miR-133a-5p --- miR-29b-1-5p --- skeletal muscle --- proliferation --- differentiation --- breast cancer --- CAFs --- estrogens --- GPER --- miR-338-3p --- c-Fos --- Cyclin D1 --- amyotrophic lateral sclerosis (ALS) --- biomarker --- microRNA --- cerebrospinal fluid (CSF) --- muscle biopsy --- circulating miRNAs --- RNA interference --- small interfering RNA --- microRNA --- oncolytic virotherapy --- conditionally replicating adenovirus (CRAd) --- biomarker --- gene --- microRNA --- parkinson’s disease --- miRNA --- bioinformatic analysis --- ischemic stroke --- miRNA-gene target interaction --- network --- biomarker --- diagnosis --- prognosis --- microRNAs --- epigenetic biomarker --- sepsis --- inflammation --- Teleostei --- embryogenesis --- tissue-enriched miRNAs --- post-transcriptional gene regulation --- miRNA expression and regulation --- passenger miRNA --- biomarker --- vascular injury --- smooth muscle cells --- porcine vein graft and stent models --- bone angiogenesis --- osteogenesis --- angiogenic-osteogenic coupling --- microRNAs --- bone regeneration --- bone formation --- bone tissue-engineering --- angiomiRs --- osteomiRs --- hypoxamiRs --- circular RNA --- circHIPK3 --- microRNA --- miR-30a-3p --- skeletal muscle --- proliferation --- differentiation

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