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Transcriptomics and Gene Regulation

Transcriptomics and Gene Regulation
Author: Jiaqian Wu
Publisher: Springer
Total Pages: 190
Release: 2015-11-17
Genre: Science
ISBN: 9401774501

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This volume focuses on modern computational and statistical tools for translational gene expression and regulation research to improve prognosis, diagnostics, prediction of severity, and therapies for human diseases. It introduces some of state of the art technologies as well as computational and statistical tools for translational bioinformatics in the areas of gene transcription and regulation, including the tools for next generation sequencing analyses, alternative spicing, the modeling of signaling pathways, network analyses in predicting disease genes, as well as protein and gene expression data integration in complex human diseases etc. The book is particularly useful for researchers and students in the field of molecular biology, clinical biology and bioinformatics, as well as physicians etc. Dr. Jiaqian Wu is assistant professor in the Vivian L. Smith Department of Neurosurgery and Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Centre, Houston, TX, USA.​


Transcriptome Profiling

Transcriptome Profiling
Author: Mohammad Ajmal Ali
Publisher: Elsevier
Total Pages: 530
Release: 2022-10-07
Genre: Science
ISBN: 0323972314

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Transcriptome Profiling: Progress and Prospects assists readers in assessing and interpreting a large number of genes, up to and including an entire genome. It provides key insights into the latest tools and techniques used in transcriptomics and its relevant topics which can reveal a global snapshot of the complete RNA component of a cell at a given time. This snapshot, in turn, enables the distinction between different cell types, different disease states, and different time points during development. Transcriptome analysis has been a key area of biological inquiry for decades. The next-generation sequencing technologies have revolutionized transcriptomics by providing opportunities for multidimensional examinations of cellular transcriptomes in which high-throughput expression data are obtained at a single-base resolution. Transcriptome analysis has evolved from the detection of single RNA molecules to large-scale gene expression profiling and genome annotation initiatives. Written by a team of global experts, key topics in Transcriptome Profiling include transcriptome characterization, expression analysis of transcripts, transcriptome and gene regulation, transcriptome profiling and human health, medicinal plants transcriptomics, transcriptomics and genetic engineering, transcriptomics in agriculture, and phylotranscriptomics. Presents recent development in the tools and techniques in transcriptomic characterization Integrates expression analysis of transcripts and gene regulation Includes the application of transcriptomics in human health, genetic engineering and agriculture


Transcriptome Analysis

Transcriptome Analysis
Author: Miroslav Blumenberg
Publisher: BoD – Books on Demand
Total Pages: 110
Release: 2019-11-20
Genre: Medical
ISBN: 1789843278

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Transcriptome analysis is the study of the transcriptome, of the complete set of RNA transcripts that are produced under specific circumstances, using high-throughput methods. Transcription profiling, which follows total changes in the behavior of a cell, is used throughout diverse areas of biomedical research, including diagnosis of disease, biomarker discovery, risk assessment of new drugs or environmental chemicals, etc. Transcriptome analysis is most commonly used to compare specific pairs of samples, for example, tumor tissue versus its healthy counterpart. In this volume, Dr. Pyo Hong discusses the role of long RNA sequences in transcriptome analysis, Dr. Shinichi describes the next-generation single-cell sequencing technology developed by his team, Dr. Prasanta presents transcriptome analysis applied to rice under various environmental factors, Dr. Xiangyuan addresses the reproductive systems of flowering plants and Dr. Sadovsky compares codon usage in conifers.


Fundamentals of Advanced Omics Technologies: From Genes to Metabolites

Fundamentals of Advanced Omics Technologies: From Genes to Metabolites
Author:
Publisher: Newnes
Total Pages: 488
Release: 2014-02-14
Genre: Science
ISBN: 0444626700

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Fundamentals of Advanced Omics Technologies: From Genes to Metabolites covers the fundamental aspects of the new instrumental and methodological developments in omics technologies, including those related to genomics, transcriptomics, epigenetics, proteomics and metabolomics, as well as other omics approaches such as glycomics, peptidomics and foodomics. The principal applications are presented in the following complementary volume. The chapters discuss in detail omics technologies, DNA microarray analysis, next-generation sequencing technologies, genome-wide analysis of methylation and histone modifications, emerging nanotechniques in proteomics, imaging mass spectrometry in proteomics, recent quantitative proteomics approaches, and advances in high-resolution NMR-based metabolomics, as well as MS-based non-targeted metabolomics and metabolome analysis by CE-MS, global glycomics analyses, foodomics, and high resolution analytical tools for quantitative peptidomics. Key aspects related to chemometrics, bioinformatics, data treatment, data integration and systems biology, deep-sequencing data analysis, statistical approaches for the analysis of microarray data, the integration of transcriptome and metabolome data and computational approaches for visualization and integration of omics data are also covered. Covers the latest advances in instrumentation, experimental design, sample preparation, and data analysis Provides thorough explanations and descriptions of specific omics technologies Describes advanced tools and methodologies for data pretreatment, storage, curation and analysis, as well as data integration


Transcriptomics in Health and Disease

Transcriptomics in Health and Disease
Author: Geraldo A. Passos
Publisher: Springer Nature
Total Pages: 473
Release: 2022-03-07
Genre: Science
ISBN: 303087821X

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The study of transcriptomics is key to understanding complex diseases. This new edition will build on the foundation of the first edition while incorporating the progress that has been made in the field of transcriptomics in the past six years, including bioinformatics for data analysis. Written by leading experts, chapters address new subjects such as methodological advances in large-scale sequencing, the sequencing of single-cells, and spatial transcriptomics. The new edition will address how transcriptomics may be used in combination with genetic strategies to identify causative genes in monogenic and complex genetic diseases. Coverage will also explore transcriptomics in challenging groups of diseases, such as cancer, inflammation, bacterial infection, and autoimmune diseases. The updated volume will be useful for geneticists, genome biologists, biomedical researchers, molecular biologists, bioinformaticians, and students, among others.


Transcriptomic Approaches for Connecting Gene Regulation to Ecologically Important Traits

Transcriptomic Approaches for Connecting Gene Regulation to Ecologically Important Traits
Author: Rachel Ann Johnston
Publisher:
Total Pages: 92
Release: 2016
Genre:
ISBN:

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Gene regulation is tightly regulated to produce individual phenotypes appropriate to a animal's placement in time and space. How specific genetic and environmental factors shape gene regulation has been extensively studied in laboratory model species. However, far less is known about sources of variance in gene regulation in the wild, in populations where natural selection operates. My dissertation research aimed to identify factors that influence individual variation in gene regulation by evaluating transcriptome-wide gene expression levels within and across populations. In my first chapter, I evaluated gene expression changes in captive Swainson's thrushes (Catharus ustulatus) originating from two populations as they transitioned from the non-migratory to migratory condition. Birds exhibited significant seasonal differences in the expression of genes involved in cellular development in the brain, providing support for seasonal neural plasticity in migratory birds. In my second chapter, I focused on a single population, the North American gray wolves (Canis lupus) of Yellowstone National Park, to evaluate the relative impacts of intrinsic (age and sex) and environmental variables (social status and presence of sarcoptic mange) on gene expression variation in blood. I found that, unexpectedly, animal age, but not sex, social status, or sarcoptic mange infestation, impacted gene expression, suggesting that age may have pervasive, evolutionarily conserved effects on gene expression variation in natural populations of mammals. Finally, in my third chapter, I adopted an in vitro experimental approach to study how gene regulation is impacted by genotype at the CBD103 gene, which encodes a protein with antimicrobial properties, exists in two forms (alleles) in North American gray wolves, and is associated with lifetime reproductive success. I established keratinocyte lines from 24 gray wolves and utilized CRISPR/Cas9 to generate one heterozygous and homozygous line. To test whether the fitness effects of CBD103 genotype are explained by their roles in immune defense, I challenged the cells with synthetic antigens and live canine distemper virus. No effect of CBD103 genotype was detected, but immune challenge altered expression of thousands of genes. This work demonstrated the ability to establish a population panel of cell lines from a wild mammal, a potentially powerful method for studying gene regulation in natural populations.


Gene Expression Analysis

Gene Expression Analysis
Author: Nalini Raghavachari
Publisher: Humana
Total Pages: 0
Release: 2018-05-17
Genre: Medical
ISBN: 9781493978335

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This volume provides experimental and bioinformatics approaches related to different aspects of gene expression analysis. Divided in three sections chapters detail wet-lab protocols, bioinformatics approaches, single-cell gene expression, highly multiplexed amplicon sequencing, multi-omics techniques, and targeted sequencing. 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. Authoritative and cutting-edge, Gene Expression Analysis: Methods and Protocols aims provide useful information to researchers worldwide.


Applications of Advanced Omics Technologies: From Genes to Metabolites

Applications of Advanced Omics Technologies: From Genes to Metabolites
Author:
Publisher: Elsevier
Total Pages: 497
Release: 2014-05-08
Genre: Science
ISBN: 0444626697

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The book contains contributions concerning the application of the new instrumental and methodological developments in omics technologies, including those related to Genomics, Transcriptomics, Proteomics, Peptidomics and Metabolomics, Lipidomics and Foodomics. The16 chapters discuss in detail: innovative applications of functional gene microarrays for profiling microbial communities, microRNA profiling, novel genotyping applications using microarray technology in cancer research, next-generation sequencing applied to the study of human microbiome, emerging RNA-SEQ applications in food science, recent progress in plant proteomics, applications of gel-free proteomic approaches, the challenges and applications of proteomics tools for food authenticity, the role of salivary peptidomics in clinical applications, metabolomic approaches to the study of degenerative, cardiovascular and renal diseases, and neonatal medicine. Also covered are other omics applications such as profiling of genetically modified organisms, the fundamentals, applications and challenges of foodomics, and MS-based lipidomics. Moreover, this volume includes relevant and updated aspects on bioinformatics, data treatment, data integration and systems biology. This book complements the previous volume "Fundamentals of Advanced Omics Technologies: New Advances from Genes to Metabolites" that covered the fundamental aspects of these new omics technologies. Describes the latest applications of omics technologies Provides an excellent reference for applications of advanced omics techniques Includes advanced tools and methodologies for dealing with the data generated


The Conifers: Genomes, Variation and Evolution

The Conifers: Genomes, Variation and Evolution
Author: David B. Neale
Publisher: Springer
Total Pages: 590
Release: 2019-03-23
Genre: Science
ISBN: 3319468073

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This book is the first comprehensive volume on conifers detailing their genomes, variations, and evolution. The book begins with general information about conifers such as taxonomy, geography, reproduction, life history, and social and economic importance. Then topics discussed include the full genome sequence, complex traits, phenotypic and genetic variations, landscape genomics, and forest health and conservation. This book also synthesizes the research included to provide a bigger picture and suggest an evolutionary trajectory. As a large plant family, conifers are an important part of economic botany. The group includes the pines, spruces, firs, larches, yews, junipers, cedars, cypresses, and sequoias. Of the phylum Coniferophyta, conifers typically bear cones and evergreen leaves. Recently, there has been much data available in conifer genomics with the publication of several crop and non-crop genome sequences. In addition to their economic importance, conifers are an important habitat for humans and animals, especially in developing parts of the world. The application of genomics for improving the productivity of conifer crops holds great promise to help provide resources for the most needy in the world.


Gene Expression and Transcriptome Sequencing

Gene Expression and Transcriptome Sequencing
Author: Kalyani M. Barbadikar
Publisher:
Total Pages: 0
Release: 2019
Genre: Science
ISBN:

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Gene expression studies are extremely useful for understanding a broad range of biological, physiological, and molecular responses. The techniques for gene expression reflect differential patterns of gene regulation and have evolved with time from detecting one gene to many genes at a time laterally. Gene expression depends on the spatiotemporal expression in a particular tissue at a given time point and needs critical examination and interpretation. Transcriptome sequencing or RNA-seq using next-generation sequencing (short and long reads) is the most widely deployed technology for accurate quantification of gene expression. According to the biological aim of the experiment, replications, platform, and chemistries, propelling improvement has been demonstrated and documented using RNA-seq in plants, humans, animals, and clinical sciences with respect to gene expression of mRNA, small non-coding, long non-coding RNAs, alternative splice variations, isoform variations, gene fusions, single-nucleotide variants. Integrating transcriptome sequencing with other techniques such as chromatin immunoprecipitation, methylation, genome-wide association studies, manifests insights into genetic and epigenetic regulation. Epi-transcriptome including RNA methylation, modification, and alternative polyadenylation events can also be explored through long-read sequencing. In this chapter, we have presented an account of the basics of gene expression methods, transcriptome sequencing, and the various methodologies involved in the downstream analysis.