Overview
- Comprises research, that spans all levels of biological organisation, including DNA, RNA, protein and metabolite
- Combines different OMICS approaches under the unifying theme of skeletal muscle physiology
- Broadens the understanding of big data usage in physiology research
Part of the book series: Methods in Physiology (METHPHYS)
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Table of contents (10 chapters)
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Transcriptomic
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Metabolomic
Keywords
About this book
Presenting the latest researchtechniques, this book is a valuable resource for the physiology community, particularly researchers and grad students who want to explore the new opportunities for omics technologies in basic physiology research.
Editors and Affiliations
About the editors
Yi-Wen Chen is an Associate Professor of Genomics and Precision Medicine at the George Washington University and Principal Investigator at the Center for Genetic Medicine Research, Children’s National Health System, DC, USA. Her research uses transcriptomic approaches to study molecular pathways in muscles in response to physiological stimuli and pathological conditions. Yi-Wen uses genome-wide RNA profiling to dissect the disease mechanisms of various muscle disorders and to identify molecular mechanisms of adaptive remodelling. In addition, her group uses next-generation sequencing and long-read sequencing to study genetic, epigenetic and transcriptomic changes in muscles using physiological and disease models. Currently she is part of the Human Cell Atlas consortium, with a focus on single-cell profiles and spatial characterization of gene expression in skeletal muscles at different developmental stages.
Bibliographic Information
Book Title: Omics Approaches to Understanding Muscle Biology
Editors: Jatin George Burniston, Yi-Wen Chen
Series Title: Methods in Physiology
DOI: https://doi.org/10.1007/978-1-4939-9802-9
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The American Physiological Society 2019
Hardcover ISBN: 978-1-4939-9801-2Published: 06 November 2019
Softcover ISBN: 978-1-4939-9804-3Published: 06 November 2020
eBook ISBN: 978-1-4939-9802-9Published: 05 November 2019
Series ISSN: 2628-7471
Series E-ISSN: 2628-748X
Edition Number: 1
Number of Pages: VII, 217
Number of Illustrations: 3 b/w illustrations, 32 illustrations in colour
Topics: Human Physiology, Proteomics, Metabolomics, Human Genetics, Systems Biology