Download or read book Expression Based Reverse Engineering of Plant Transcriptional Networks written by Federico Giorgi and published by LAP Lambert Academic Publishing. This book was released on 2012-03 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regulation of gene transcription plays a major role in mediating cellular responses and physiological behavior in all known organisms. The finding that similar genes are often regulated in a similar manner (co-regulated or "co-expressed") has directed several "guilt-by-association" approaches in order to reverse-engineer the cellular transcriptional networks using gene expression data as a compass. This kind of studies has been considerably assisted in the recent years by the development of high-throughput transcript measurement platforms, specifically gene microarrays and next-generation sequencing. In this thesis, I describe several approaches for improving the extraction and interpretation of the information contained in microarray based gene expression data, through four steps: (1) microarray platform design, (2) microarray data normalization, (3) gene network reverse engineering based on expression data and (4) experimental validation of expression-based guilt-by-association inferences. In the first part test case is shown aimed at the generation of a microarray for Thellungiella salsuginea, a salt and drought resistant close relative to the model plant Arabidopsis thaliana; the transcripts of this organism are generated on the combination of publicly available ESTs and newly generated ad-hoc next-generation sequencing data. Since the design of a microarray platform requires the availability of highly reliable and non-redundant transcript models, these issues are addressed consecutively, proposing several different technical solutions. In the second part I describe how inter-array correlation artifacts are generated by the common microarray normalization methods RMA and GCRMA, together with the technical and mathematical characteristics underlying the problem. A solution is proposed in the form of a novel normalization method, called tRMA. The third part of the thesis deals with the field of expression-based gene network reverse engineering. It is shown how different centrality measures in reverse engineered gene networks can be used to distinguish specific classes of genes, in particular essential genes in Arabidopsis thaliana, and how the use of conditional correlation can add a layer of understanding over the information flow processes underlying transcript regulation. Furthermore, several network reverse engineering approaches are compared, with a particular focus on the LASSO, a linear regression derivative rarely applied before in global gene network reconstruction, despite its theoretical advantages in robustness and interpretability over more standard methods. The performance of LASSO is assessed through several in silico analyses dealing with the reliability of the inferred gene networks. In the final part, LASSO and other reverse engineering methods are used to experimentally identify novel genes involved in two independent scenarios: the seed coat mucilage pathway in Arabidopsis thaliana and the hypoxic tuber development in Solanum tuberosum. In both cases an interesting method complementarity is shown, which strongly suggests a general use of hybrid approaches for transcript expression-based inferences.In conclusion, this work has helped to improve our understanding of gene transcription regulation through a better interpretation of high-throughput expression data. Part of the network reverse engineering methods described in this thesis have been included in a tool (CorTo) for gene network reverse engineering and annotated visualization from custom transcription datasets.
Download or read book An Ensemble Learning Approach to Reverse engineering Transcriptional Regulatory Networks from Time series Gene Expression Data written by and published by . This book was released on 2009 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reverse Engineering of Gene Regulatory Networks for Discovery of Novel Interactions in Pathways Using Gene Expression Data written by Tanwir Habib and published by . This book was released on 2009 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Reverse Engineering of Gene Regulation Networks Using Gene Expression Data written by Jan Wildenhain and published by . This book was released on 2004 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Plant Gene Regulatory Networks written by Kerstin Kaufmann and published by Springer Nature. This book was released on with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evolution of Gene Regulatory Networks in Plant Development written by Federico Valverde and published by Frontiers Media SA. This book was released on 2018-02-15 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: During their life cycle plants undergo a wide variety of morphological and developmental changes. Impinging these developmental processes there is a layer of gene, protein and metabolic networks that are responsible for the initiation of the correct developmental transitions at the right time of the year to ensure plant life success. New omic technologies are allowing the acquisition of massive amount of data to develop holistic and integrative analysis to understand complex processes. Among them, Microarray, Next-generation Sequencing (NGS) and Proteomics are providing enormous amount of data from different plant species and developmental stages, thus allowing the analysis of gene networks globally. Besides, the comparison of molecular networks from different species is providing information on their evolutionary history, shedding light on the origin of many key genes/proteins. Moreover, developmental processes are not only genetically programed but are also affected by internal and external signals. Metabolism, light, hormone action, temperature, biotic and abiotic stresses, etc. have a deep effect on developmental programs. The interface and interplay between these internal and external circuits with developmental programs can be unraveled through the integration of systematic experimentation with the computational analysis of the generated omics data (Molecular Systems Biology). This Research Topic intends to deepen in the different plant developmental pathways and how the corresponding gene networks evolved from a Molecular Systems Biology perspective. Global approaches for photoperiod, circadian clock and hormone regulated processes; pattern formation, phase-transitions, organ development, etc. will provide new insights on how plant complexity was built during evolution. Understanding the interface and interplay between different regulatory networks will also provide fundamental information on plant biology and focus on those traits that may be important for next-generation agriculture.
Download or read book Annual Plant Reviews Regulation of Transcription in Plants written by Klaus D. Grasser and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regulation of transcription represents a major, controlling step in plant gene expression, as it determines the tissue-specific and developmental stage-specific activity of many genes. Changes in gene expression have been shown to underlie the responses to environmental cues and stresses, the response against pathogens, the regulation of metabolic pathways, and the regulation of photosynthesis, for example. Regulation by transcription factors is an integral part of a highly complex network. In recent years, research on the regulation of transcription has made impressive progress. This volume provides a broad overview of the regulation of transcription in plants, introducing the key elements, the way in which it works in practice, and the potential within plant biotechnology. It is directed at researchers and professionals in plant molecular biology, biochemistry and biotechnology.
Download or read book Systems Genetics written by Florian Markowetz and published by Cambridge University Press. This book was released on 2015-07-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whereas genetic studies have traditionally focused on explaining heritance of single traits and their phenotypes, recent technological advances have made it possible to comprehensively dissect the genetic architecture of complex traits and quantify how genes interact to shape phenotypes. This exciting new area has been termed systems genetics and is born out of a synthesis of multiple fields, integrating a range of approaches and exploiting our increased ability to obtain quantitative and detailed measurements on a broad spectrum of phenotypes. Gathering the contributions of leading scientists, both computational and experimental, this book shows how experimental perturbations can help us to understand the link between genotype and phenotype. A snapshot of current research activity and state-of-the-art approaches to systems genetics are provided, including work from model organisms such as Saccharomyces cerevisiae and Drosophila melanogaster, as well as from human studies.
Download or read book Gene Network Inference written by Alberto Fuente and published by Springer Science & Business Media. This book was released on 2014-01-03 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.
Download or read book Transcription Factors for Abiotic Stress Tolerance in Plants written by Shabir Hussain Wani and published by Academic Press. This book was released on 2020-08-19 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transcription Factors for Abiotic Stress Tolerance in Plants highlights advances in the understanding of the regulatory network that impacts plant health and production, providing important insights for improving plant resistance. Plant production worldwide is suffering serious losses due to widespread abiotic stresses increasing as a result of global climate change. Frequently more than one abiotic stress can occur at once, for example extreme temperature and osmotic stress, which increases the complexity of these environmental stresses. Modern genetic engineering technologies are one of the promising tools for development of plants with efficient yields and resilience to abiotic stresses. Hence deciphering the molecular mechanisms and identifying the abiotic stress associated genes that control plant response to abiotic stresses is a vital requirement in developing plants with increased abiotic stress resilience. Addressing the various complexities of transcriptional regulation, this book includes chapters on cross talk and central regulation, regulatory networks, the role of DOF, WRKY and NAC transcription factors, zinc finger proteins, CRISPR/CAS9-based genome editing, C-Repeat (CRT) binding factors (CBFs)/Dehydration responsive element binding factors (DREBs) and factors impacting salt, cold and phosphorous stress levels, as well as transcriptional modulation of genes involved in nanomaterial-plant interactions. Transcription Factors for Abiotic Stress Tolerance in Plants provides a useful reference by unravelling the transcriptional regulatory networks in plants. Researchers and advanced students will find this book a valuable reference for understanding this vital area. Discusses abiotic stress tolerance and adaptive mechanisms based on the findings generated by unlocking the transcriptional regulatory network in plants Presents various kinds of regulatory gene networks identified for drought, salinity, cold and heat stress in plants Highlights urgent climate change issues in plants and their mitigation using modern biotechnological tools including genome editing.
Download or read book Molecular Approaches in Plant Biology and Environmental Challenges written by Sudhir P. Singh and published by Springer Nature. This book was released on 2019-10-01 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses molecular approaches in plant as response to environmental factors, such as variations in temperature, water availability, salinity, and metal stress. The book also covers the impact of increasing global population, urbanization, and industrialization on these molecular behaviors. It covers the natural tolerance mechanism which plants adopt to cope with adverse environments, as well as the novel molecular strategies for engineering the plants in human interest. This book will be of interest to researchers working on the impact of the changing environment on plant ecology, issues of crop yield, and nutrient quantity and quality in agricultural crops. The book will be of interest to researchers as well as policy makers in the environmental and agricultural domains.
Download or read book Viroids and Satellites written by Ahmed Hadidi and published by Academic Press. This book was released on 2017-07-18 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: Viroids and Satellites describes plant diseases and their causal agents while also addressing the economic impact of these diseases. The book discusses various strategies for state-of-the-art methods for the detection and control of pathogens in their infected hosts and provides pivotal information from the discovery of viroids through the analysis of their molecular and biological properties, to viroid pathogenesis, host interactions, and RNA silencing pathways. Students, researchers and regulators will find this to be a comprehensive resource on the topics presented. - Provides coverage of the basic biological properties of disease, along with applied knowledge - Features economic impacts, transmission, geographical distribution, epidemiology, detection, and control within each chapter - Organizes viroid diseases by viroid taxonomy and viroid species
Download or read book Plant Gene Regulatory Networks written by Kerstin Kaufmann and published by Humana. This book was released on 2017-06-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents protocols that analyze and explore gene regulatory networks (GRNs) at different levels in plants. This book is divided into two parts: Part I introduces different experimental techniques used to study genes and their regulatory interactions in plants. Part II highlights different computational approaches used for the integration of experimental data and bioinformatics-based predictions of regulatory interactions. This part of the book also provides information on essential database resources that grant access to gene-regulatory and molecular interactions in different plant genomes, with a specific focus on Arabidopsis thaliana. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Thorough and cutting-edge, Plant Gene Regulatory Networks: Methods and Protocols is a valuable resource for scientists and researchers interested in expanding their knowledge of GRNs.
Download or read book An Integrated Experimental computational Approach to Infer Gene Regulatory Networks written by David Ronald Lorenz and published by . This book was released on 2009 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Elucidating the structure and function of biological interaction networks is a major challenge of the post-genomic era; the development of methods to infer these networks has thus been an active area of research. In this work, I describe an integrated experimental/computational strategy for reverse-engineering gene regulatory networks called NIR (Network Inference by multiple Regression), derived from a branch of engineering known as system identification. This method uses mRNA expression changes in response to network gene perturbations to formulate a first-order model of functional interactions between genes in the chosen network, providing a quantitative, directed and unsupervised description of transcriptional regulatory interactions. This approach was first applied to nine genes from the SOS pathway in the model prokaryote Escherichia coli, where it correctly identified RecA and LexA as key transcriptional regulators responding to DNA damage. Further, the quantitative network model was used to distinguish the transcriptional targets of pharmacological compounds, an important consideration in drug development and discovery. In the model eukaryote Saccharomyces cerevisiae, I applied the NIR method to ten genes from the glucose-responsive Snf 1 pathway. The network model inferred from this analysis correctly identified the major transcriptional regulators, and revealed a greater degree of complexity for this pathway than previously known. The majority of putative novel interactions were subsequently verified using gene deletions and chromatin immunoprecipitation experiments. This new, validated network architecture was then used to identify and experimentally confirm combinatorial transcriptional regulation of yeast aging, a mechanism not likely to be identified in the absence of knowledge of the network structure. Overall, these results demonstrate the utility of our inference approach to characterize smaller gene regulatory networks at a higher level of detail, and to successfully use the network model to gain new insights into complex biological processes.
Download or read book Big Data Analytics in Bioinformatics and Healthcare written by Wang, Baoying and published by IGI Global. This book was released on 2014-10-31 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.
Download or read book Cereal Genomics II written by Pushpendra K. Gupta and published by Springer Science & Business Media. This book was released on 2013-05-29 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Cereal Genomics” published in 2004 served the purpose of collecting all information on cereal genomics at one place and was well received by the cereal workers through-out the world. The last eight years have witnessed significant advancement in the field of cereal genomics. For instance, high-density genetic maps, physical maps, QTL maps and even draft genome sequence have become available for several cereal species. Furthermore, the next generation sequencing (NGS) technologies have revolutionized genomics research, so that it is possible now to sequence genomes of hundreds or thousands of accessions of an individual cereal crop. Significant amounts of data generated using these NGS technologies created a demand for computational tools to analyse this massive data. In view of these developments, the Editors realised that there was a need to have an updated volume on the present status and future prospects of cereal genomics. These developments related to technology and the tools have been documented in this volume, thus supplementing our earlier edited volume “Cereal Genomics”. “Cereal Genomics II” discusses advances in cereal genomics research made during the last eight years, and presents state-of-art cereal genomics and its utilization involving both basic research such as comparative genomics and functional genomics, and applied research like QTL mapping and molecular breeding.
Download or read book Advances in crop biomass production based on multi omics approach written by Yin Li and published by Frontiers Media SA. This book was released on 2023-05-12 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt:
