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1.


   
    Transgenesis and Secondary Metabolism [Electronic resource] / ed. Jha, Sumita. - 1st ed. 2017. - [S. l. : s. n.]. - 108 illus., 65 illus. in color. eReference. - ISBN 9783319286693
    Зміст:
Рубрики: Genetic engineering.
   Plant genetics.
   Plant biochemistry.
   Metabolism.
   Bioorganic chemistry.
   Pharmacy.
   Genetic Engineering.
   Plant Genetics and Genomics.
   Plant Biochemistry.
   Metabolomics.
   Bioorganic Chemistry.
   Pharmacy.
Анотація: This handbook provides comprehensive reference information on the efficient production of secondary metabolites from plants by transgenesis and other genetic manipulation strategies. It reviews and summarizes selected important case studies in genetic methods applied to enhance the production of a given metabolite or a group of related or derived compounds. Readers will find reference information on a multitude of techniques and methods, including traditional breeding and screening; over-expression of genes encoding key enzymes; functional genomics approaches; metabolic engineering of the relevant biosynthetic pathways; indirect genetic approaches to improve metabolite production, including Agrobacterium mediated transformations. Furthermore, combinatorial biochemistry approaches to engineer secondary metabolic pathways are summarized, which can offer access to new structures or to the design of novel compounds. Since many commercially valuable substances are still extracted from plants, being largely inaccessible to efficient modern laboratory synthesis methods, this book provides a valuable resource of information for biotechnological approaches that can help to find alternative and more efficient methods for the production of natural secondary metabolites. Thus adjusted production methods, with the help of tailored plant systems, can potentially help to release the stress on plants, which are currently suffering from extensive human harvesting, and to conserve global biodiversity. Readers will find comprehensive reference information on plant genetic manipulation toward more efficient synthesis, accumulation and production of target secondary metabolites. The handbook will appeal to researchers and professionals, but also graduate students and scholars working in the fields of biotechnology, genetic engineering, medicinal plant research, pharmacy, and phytochemistry.
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Jha, Sumita. \ed.\
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2.


   
    Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry [Electronic resource] / ed.: Datta, Susmita., Mertens, Bart J. A. - 1st ed. 2017. - [S. l. : s. n.]. - VIII, 295 p. 106 illus., 83 illus. in color. - ISBN 9783319458090
    Зміст:
Рубрики: Statistics .
   Biostatistics.
   Metabolism.
   Bioinformatics.
   Analytical chemistry.
   Mathematical statistics.
   Statistics for Life Sciences, Medicine, Health Sciences.
   Biostatistics.
   Metabolomics.
   Computational Biology/Bioinformatics.
   Analytical Chemistry.
   Probability and Statistics in Computer Science.
Анотація: 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. Susmita Datta received her PhD in statistics from the University of Georgia. She is a tenured professor in the Department of Biostatistics at the University of Florida. Before joining the University of Florida she was a professor and a distinguished university scholar at the University of Louisville. She is a Fellow of the American Association for the Advancement of Science, American Statistical Association, and an elected member of the International Statistical Institute. She is past president of the Caucus for Women in Statistics, and she actively supports research and education for women in STEM fields. Bart Mertens received his PhD in statistical sciences from University College London, Department of Statistical Sciences, on statistical analysis methods for spectrometry data. He is currently Associate Professor at the Department of Medical Statistics and Bioinformatics of the Leiden University Medical Centre, where he has been working in both research and consulting for statistical analysis methodology with mass spectrometry proteomic data for more than 10 years.
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Datta, Susmita. \ed.\; Mertens, Bart J. A. \ed.\
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3.


   
    Topics in Biomedical Gerontology [Electronic resource] / ed.: Rath, Pramod C., Sharma, Ramesh., Prasad, S. - 1st ed. 2017. - [S. l. : s. n.]. - XXI, 355 p. 77 illus. - ISBN 9789811021558
    Зміст:
Рубрики: Geriatrics.
   Regenerative medicine.
   Tissue engineering.
   Geriatric nursing.
   Human genetics.
   Metabolism.
   Molecular biology.
   Geriatrics/Gerontology.
   Regenerative Medicine/Tissue Engineering.
   Geriatric Care.
   Human Genetics.
   Metabolomics.
   Molecular Medicine.
Анотація: This book presents a collection of articles on various aspects of current research on aging. These include model systems, cellular, biochemical and molecular aspects of experimental aging research, as well as selected intervention studies on age-related diseases. Aging is a global challenge to human society. Children are always in a hurry to become adults, while adults produce offspring and add to the gene pool. However, after adulthood or the attainment of reproductive maturity, all physiological parameters of the living organism start to undergo the aging process. Old age sets in slowly but surely, and usually continues for a prolonged period. If vigor and vitality are the main advantages of adulthood, old age offers the rewards of experience and maturity. Biologists ask questions such as: Why do we age? How do we become old? Is it possible to slow down, postpone or even prevent aging? In turn, medical experts ask: What are the diseases associated with old age? Are there medicines that can help affected elderly patients? In fact both groups are asking themselves how can we add more health to old age. Healthy aging is the dream of every individual. But to achieve this, it is fundamental that we first understand the cellular, biochemical and molecular basis of the aging process in mammalian cells, tissues and intact living organisms, which can serve as experimental model systems in Biomedical Gerontology. Once the biology of aging is understood at the genetic and molecular levels, interventional approaches to aging and its associated diseases may be easier to plan and implement at the preclinical level.
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Rath, Pramod C. \ed.\; Sharma, Ramesh. \ed.\; Prasad, S. \ed.\
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4.


   
    Metabolomics: From Fundamentals to Clinical Applications [Electronic resource] / ed. Sussulini, Alessandra. - 1st ed. 2017. - [S. l. : s. n.]. - X, 350 p. 56 illus., 54 illus. in color. - ISBN 9783319476568
    Зміст:
Рубрики: Metabolism.
   Gene therapy.
   Medical genetics.
   Metabolomics.
   Gene Therapy.
   Gene Function.
Анотація: This book provides a comprehensive view of metabolomics, from the basic concepts, through sample preparation and analytical methodologies, to data interpretation and applications in medicine. It is the first volume to cover metabolomics clinical applications while also emphasizing analytical and statistical features. Moreover, future trends and perspectives in clinical metabolomics are also presented. For researches already experienced in metabolomics, the book will be useful as an updated definitive reference. For beginners in the field and graduate students, the book will provide detailed information about concepts and experimental aspects in metabolomics, as well as examples and perspectives of applications of this strategy to clinical questions.
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Sussulini, Alessandra. \ed.\
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