This book provides thorough coverage of high-throughput OMICs technologies for the monitoring of stem cells and regenerative medicine. Specific topics covered include the genomics, proteomics, and metabolomics aspects of regenerative medicine, metabolic profiling of mesenchymal stem cells, genome profiling of mesenchymal stem cells, OMICs monitoring of stem cell-derived exosomes, stem cell proteomics, lipidomics, OMICs profiling of cancer (stem) cells, and finally ethical considerations of OMICs-based investigations. Chapters are authored by world-renowned scientists who have valuable expertise in the field of OMICs and regenerative medicine. Genomics, Proteomics, and Metabolomics: Stem Cells Monitoring in Regenerative Medicine, part of Springer’s Stem Cell Biology and Regenerative Medicine series, is essential reading for researchers, clinicians, biologists, biochemists, and pharmaceutical experts conducting research in the fields of stem cell biology, molecular aspects of stem cell research, tissue engineering, regenerative medicine, cellular therapy, OMICs, bioinformatics, and ethics.

Functional foods and nutraceuticals have received considerable interest in the past decade largely due to increasing consumer awareness of the health benefits associated with food. Diet in human health is no longer a matter of simple nutrition: consumers are more proactive and increasingly interested in the health benefits of functional foods and their role in the prevention of illness and chronic conditions. This, combined with an aging population that focuses not only on longevity but also quality of life, has created a market for functional foods and nutraceuticals. A fully updated and revised second edition, Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods reflects the recent upsurge in "omics" technologies and features 48 chapters that cover topics including genomics, proteomics, metabolomics, epigenetics, peptidomics, nutrigenomics and human health, transcriptomics, nutriethics and nanotechnology. This cutting-edge volume, written by a panel of experts from around the globe reviews the latest developments in the field with an emphasis on the application of these novel technologies to functional foods and nutraceuticals.

This book presents an overview of computational and statistical design and analysis of mass spectrometry-based proteomics, metabolomics, and lipidomics data. This contributed volume provides an introduction to the special aspects of statistical design and analysis with mass spectrometry data for the new omic sciences. The text discusses common aspects of design and analysis between and across all (or most) forms of mass spectrometry, while also providing special examples of application with the most common forms of mass spectrometry. Also covered are applications of computational mass spectrometry not only in clinical study but also in the interpretation of omics data in plant biology studies. Omics research fields are expected to revolutionize biomolecular research by the ability to simultaneously profile many compounds within either patient blood, urine, tissue, or other biological samples. Mass spectrometry is one of the key analytical techniques used in these new omic sciences. Liquid chromatography mass spectrometry, time-of-flight data, and Fourier transform mass spectrometry are but a selection of the measurement platforms available to the modern analyst. Thus in practical proteomics or metabolomics, researchers will not only be confronted with new high dimensional data types—as opposed to the familiar data structures in more classical genomics—but also with great variation between distinct types of mass spectral measurements derived from different platforms, which may complicate analyses, comparison, and interpretation of results.

Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

This book is written by leading researchers in the fields about the intersection of genetics and metabolomics which can lead to more comprehensive studies of inborn variation of metabolism.

Metabolomics and proteomics allow deep insights into the chemistry and physiology of biological systems. This book expounds open-source programs, platforms and programming tools for analysing metabolomics and proteomics mass spectrometry data. In contrast to commercial software, open-source software is created by the academic community, which facilitates the direct interaction between users and developers and accelerates the implementation of new concepts and ideas. The first section of the book covers the basics of mass spectrometry, experimental strategies, data operations, the open-source philosophy, metabolomics, proteomics and statistics/ data mining. In the second section, active programmers and users describe available software packages. Included tutorials, datasets and code examples can be used for training and for building custom workflows. Finally, every reader is invited to participate in the open science movement.

This book summarizes the results achieved so far by application of various biological systems (including genomics, transcriptomics, proteomics, and metabolomics) involved in the pathomechanisms and early diagnosis of periparturient diseases as specific biomarkers of disease in cattle. These emerging technologies help to extensively enhance our understanding of the etiology and pathogenesis of periparturient diseases of transition dairy cows. The book includes a chapter dedicated to ‘omics’ sciences and one that discusses the myths established in animal and veterinary sciences in recent decades and emerging, new paradigms. The diseases discussed include metritis, mastitis, laminitis, ketosis, rumen acidosis, periparturient immunosuppression, gastrointestinal microbiota and their involvement in disease, infertility, fatty liver, milk fever, and retained placenta. This book is intended for academics, veterinarians, animal nutritionists, researchers, and graduate students working in the field of ‘omics sciences’ with a special interest in dairy cattle health.