Transcriptomics and Gene Regulation

Transcriptomics and Gene Regulation

Author: Jiaqian Wu

Publisher: Springer

Published: 2015-11-17

Total Pages: 190

ISBN-13: 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

Published: 2022-10-07

Total Pages: 530

ISBN-13: 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

Published: 2019-11-20

Total Pages: 110

ISBN-13: 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.


Transcriptomics in Health and Disease

Transcriptomics in Health and Disease

Author: Geraldo A. Passos

Publisher: Springer Nature

Published: 2022-03-07

Total Pages: 473

ISBN-13: 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.


Gene Expression Analysis

Gene Expression Analysis

Author: Nalini Raghavachari

Publisher: Humana

Published: 2018-05-17

Total Pages: 0

ISBN-13: 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.


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:

Published: 2016

Total Pages: 92

ISBN-13:

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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.


Bioinformatics for Biomedical Science and Clinical Applications

Bioinformatics for Biomedical Science and Clinical Applications

Author: K-H Liang

Publisher: Woodhead Publishing

Published: 2013-07-31

Total Pages: 0

ISBN-13: 9781907568442

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Contemporary biomedical and clinical research is undergoing constant development thanks to the rapid advancement of various high throughput technologies at the DNA, RNA and protein levels. These technologies can generate vast amounts of raw data, making bioinformatics methodologies essential in their use for basic biomedical and clinical applications. Bioinformatics for biomedical science and clinical applications demonstrates what these cutting-edge technologies can do and examines how to design an appropriate study, including how to deal with data and address specific clinical questions. The first two chapters consider Bioinformatics and analysis of the human genome. The subsequent three chapters cover the introduction of Transcriptomics, Proteomics and Systems biomedical science. The remaining chapters move on to critical developments, clinical information and conclude with domain knowledge and adaptivity.


Whole Grains and Health

Whole Grains and Health

Author: Rikard Landberg

Publisher: John Wiley & Sons

Published: 2021-05-24

Total Pages: 492

ISBN-13: 1118939433

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WHOLE GRAINS AND HEALTH The updated guide to whole grains and their integral role in nutritional health In an increasingly health-conscious society, the potential benefits of whole grain products are of paramount importance to manufacturers, dieticians, and consumers alike. Whole Grains and Health covers all aspects of this crucial topic, presenting a data-driven study of whole grains’ functional components, associated biomarkers and overall impact upon human health. Now in its second edition, the text has been revised and expanded to include six new chapters and groundbreaking new data. This essential guide features: Summaries of large research projects on the health effects of whole grain in Europe and the US New data on the associations between whole grain consumption and risk of developing chronic diseases Discussions of metabolomics and their use in addressing health effects and finding new biomarkers of both dietary exposure and health effects related to the diet Information on the use of genomics in studies of how gene-expression profiles change in response to whole grain intake Newly identified bioactive compounds in whole grains and whole grain fractions The new EU regulations on health claims that affect whole grain food products Providing information that will be of interest to food scientists, healthcare specialists and food industry professionals alike, the second edition of Whole Grains and Health is an essential resource for anyone concerned with the impact whole grains may have upon health.


Gene Expression and Transcriptome Sequencing

Gene Expression and Transcriptome Sequencing

Author: Kalyani M. Barbadikar

Publisher:

Published: 2019

Total Pages: 0

ISBN-13:

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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.


Encyclopedia of Bioinformatics and Computational Biology

Encyclopedia of Bioinformatics and Computational Biology

Author:

Publisher: Elsevier

Published: 2018-08-21

Total Pages: 3421

ISBN-13: 0128114320

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Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases