Автор: Ferguson, Bradley Название: Ferguson-NUTRITIONAL EPIGENOMICS ISBN: 0128168439 ISBN-13(EAN): 9780128168431 Издательство: Elsevier Science Рейтинг: Цена: 26444.00 р. Наличие на складе: Поставка под заказ.
Описание:
Nutritional Epigenomics offers a comprehensive overview of nutritional epigenomics as a mode of study, along with nutrition's role in the epigenomic regulation of disease, health and developmental processes. Here, an expert team of international contributors introduces readers to nutritional epigenomic regulators of gene expression, our diet's role in epigenomic regulation of disease and disease inheritance, caloric restriction and exercise as they relate to recent epigenomic findings, and the influence of nutritional epigenomics over circadian rhythms, aging and longevity, and fetal health and development, among other processes. Disease specific chapters address metabolic disease (obesity and diabetes), cancer, and neurodegeneration, among other disorders.
Diet-gut microbiome interactions in the epigenomic regulation of disease are also discussed, as is the role of micronutrients and milk miRNAs in epigenetic regulation. Finally, chapter authors examine ongoing discussions of race and ethnicity in the social-epigenomic regulation of health and disease.
Empowers the reader to employ nutritional epigenomics approaches in their own research
Discusses the latest topics in nutritional epigenomics in the regulation of aging, circadian rhythm, inheritance and fetal development, as well as metabolism and disease
Offers a full grounding in epigenetic reprogramming and nutritional intervention in the treatment and prevention of disease, as informed by population-based studies
Автор: Spillane Charles, McKeown Peter Название: Plant Epigenetics and Epigenomics: Methods and Protocols ISBN: 1071601784 ISBN-13(EAN): 9781071601785 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Поставка под заказ.
Описание: This second edition volume expands on the previous edition with a look at the latest techniques in plant epigenetics and epigenomic research. Chapters in this book cover topics such as whole genome methylome analysis; analysis of DNA methylation; chromatin analysis of metabolic gene clusters in plants; plant epigenetic stress memory induced by drought; small non-coding RNA analysis in seeds of forest tree species; and a discussion on epigenetics inheritance in plants. 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. Cutting-edge and comprehensive, Plant Epigenetics and Epigenomics: Methods and Protocols, Second Edition is a valuable resource for both novice and expert researchers, and aims to advance this field of study by paving the way for integrating epigenetic mechanisms into models of plant function during development and evolution.
Автор: H. Oliveira Название: Computational Epigenomics and Epitranscriptomics ISBN: 1071629611 ISBN-13(EAN): 9781071629611 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell data. 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. Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data.
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