Download or read book Correlation based network analysis of cancer metabolism written by Emily G. Armitage and published by Springer. This book was released on 2014-05-12 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rise of systems biology as an approach in biochemistry research, using high throughput techniques such as mass spectrometry to generate metabolic profiles of cancer metabolism is becoming increasingly popular. There are examples of cancer metabolic profiling studies in the academic literature; however they are often only in journals specific to the metabolomics community. This book will be particularly useful for post-graduate students and post-doctoral researchers using this pioneering technique of network-based correlation analysis. The approach can be adapted to the analysis of any large scale metabolic profiling experiment to answer a range of biological questions in a range of species or for a range of diseases.

Download or read book Systems Biology and Single cell Analysis of Cancer Metabolism and its Role in Cancer Emergent Properties written by Dongya Jia and published by Frontiers Media SA. This book was released on 2023-06-21 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Heterogeneity of Cancer Metabolism written by Anne Le and published by Springer. This book was released on 2018-06-26 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic alterations in cancer, in addition to being the fundamental drivers of tumorigenesis, can give rise to a variety of metabolic adaptations that allow cancer cells to survive and proliferate in diverse tumor microenvironments. This metabolic flexibility is different from normal cellular metabolic processes and leads to heterogeneity in cancer metabolism within the same cancer type or even within the same tumor. In this book, we delve into the complexity and diversity of cancer metabolism, and highlight how understanding the heterogeneity of cancer metabolism is fundamental to the development of effective metabolism-based therapeutic strategies. Deciphering how cancer cells utilize various nutrient resources will enable clinicians and researchers to pair specific chemotherapeutic agents with patients who are most likely to respond with positive outcomes, allowing for more cost-effective and personalized cancer therapeutic strategies.

Download or read book NMR based Metabolomics written by Hector C Keun and published by Royal Society of Chemistry. This book was released on 2018-01-17 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the state of the art in the application of NMR spectroscopy to metabolomics and will be a key title for researchers and practitioners.

Download or read book Data Integration in the Life Sciences written by Bertram Ludäscher and published by Springer. This book was released on 2005-07-08 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Data Integration in the Life Sciences, DILS 2005, held in San Diego, CA, USA in July 2005. The 20 revised full papers presented together with 8 revised posters and demonstration papers, 2 keynote articles and 5 invited position statements were carefully reviewed and selected from 50 initial submissions. The papers are organized in topical sections on user applications, ontologies, data integration, and others and address all current issues in data integration from the life science point of view.

Download or read book Plant Metabolomics written by Kazuki Saito and published by Springer Science & Business Media. This book was released on 2006-06-29 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metabolomics – which deals with all metabolites of an organism – is a rapidly-emerging sector of post-genome research fields. It plays significant roles in a variety of fields from medicine to agriculture and holds a fundamental position in functional genomics studies and their application in plant biotechnology. This volume comprehensively covers plant metabolomics for the first time. The chapters offer cutting-edge information on analytical technology, bioinformatics and applications. They were all written by leading researchers who have been directly involved in plant metabolomics research throughout the world. Up-to-date information and future developments are described, thereby producing a volume which is a landmark of plant metabolomics research and a beneficial guideline to graduate students and researchers in academia, industry, and technology transfer organizations in all plant science fields.

Download or read book Network Medicine written by Joseph Loscalzo and published by Harvard University Press. This book was released on 2017-02-01 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.

Download or read book Metabolism in Cancer written by Thorsten Cramer and published by Springer. This book was released on 2016-08-24 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents concise chapters written by internationally respected experts on various important aspects of cancer-associated metabolism, offering a comprehensive overview of the central features of this exciting research field. The discovery that tumor cells display characteristic alterations of metabolic pathways has significantly changed our understanding of cancer: while the first description of tumor-specific changes in cellular energetics was published more than 90 years ago, the causal significance of this observation for the pathogenesis of cancer was only discovered in the post-genome era. The first 10 years of the twenty-first century were characterized by rapid advances in our grasp of the functional role of cancer-specific metabolism as well as the underlying molecular pathways. Various unanticipated interrelations between metabolic alterations and cancer-driving pathways were identified and currently await translation into diagnostic and therapeutic applications. Yet the speed, quantity, and complexity of these new discoveries make it difficult for researchers to keep up to date with the latest developments, an issue this book helps to remedy.

Download or read book Cancer Chemotherapy and Biotherapy written by Bruce A. Chabner and published by Lippincott Williams & Wilkins. This book was released on 2011-12-07 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated to include the newest drugs and those currently in development, this Fifth Edition is a comprehensive reference on the preclinical and clinical pharmacology of anticancer agents. Organized by drug class, the book provides the latest information on all drugs and biological agents—their mechanisms of action, interactions with other agents, toxicities, side effects, and mechanisms of resistance. The authors explain the rationale for use of drugs in specific schedules and combinations and offer guidelines for dose adjustment in particular situations. This edition's introduction includes timely information on general strategies for drug usage, the science of drug discovery and development, economic and regulatory aspects of cancer drug development, and principles of pharmacokinetics. Eight new chapters have been added and more than twenty have been significantly revised. A companion website includes the fully searchable text and an image bank.

Download or read book Cancer as a Metabolic Disease written by Thomas Seyfried and published by John Wiley & Sons. This book was released on 2012-05-18 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book addresses controversies related to the origins of cancer and provides solutions to cancer management and prevention. It expands upon Otto Warburg's well-known theory that all cancer is a disease of energy metabolism. However, Warburg did not link his theory to the "hallmarks of cancer" and thus his theory was discredited. This book aims to provide evidence, through case studies, that cancer is primarily a metabolic disease requring metabolic solutions for its management and prevention. Support for this position is derived from critical assessment of current cancer theories. Brain cancer case studies are presented as a proof of principle for metabolic solutions to disease management, but similarities are drawn to other types of cancer, including breast and colon, due to the same cellular mutations that they demonstrate.

Download or read book Genetics Meets Metabolomics written by Karsten Suhre and published by Springer Science & Business Media. This book was released on 2012-06-15 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Third International Conference on Intelligent Computing in Data Sciences written by and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Scale Free Networks written by Guido Caldarelli and published by OUP Oxford. This book was released on 2007-05-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: A variety of different social, natural and technological systems can be described by the same mathematical framework. This holds from the Internet to food webs and to boards of company directors. In all these situations a graph of the elements of the system and their interconnections displays a universal feature. There are only few elements with many connections, and many elements with few connections. This book presents the experimental evidence of these "Scale-free networks" and provides students and researchers with a corpus of theoretical results and algorithms to analyse and understand these features. The content of this book and the exposition makes it a clear textbook for beginners, and a reference book for the experts.

Download or read book Networks in Cell Biology written by Mark Buchanan and published by Cambridge University Press. This book was released on 2010-05-13 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Key introductory text for graduate students and researchers in physics, biology and biochemistry.

Download or read book Bioinformatics and Computational Biology Solutions Using R and Bioconductor written by Robert Gentleman and published by Springer Science & Business Media. This book was released on 2005-12-29 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.

Download or read book Gene Network Inference written by Alberto Fuente and published by Springer Science & Business Media. This book was released on 2014-01-03 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.

Download or read book Yeast Systems Biology written by Juan I. Castrillo and published by Humana Press. This book was released on 2011-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Biology aims at deciphering the genotype-phenotype relationships at the levels of genes, transcripts (RNAs), peptides, proteins, metabolites, and environmental factors participating in complex cellular networks in order to reveal the mechanisms and principles governing the behavior of complex biological systems. Yeast Systems Biology: Methods and Protocols presents an up-to-date view of the optimal characteristics of the yeast Saccharomyces cerevisiae as a model eukaryote, perspective on the latest experimental and computational techniques for systems biology studies, most of which were first designed for and validated in yeast, and selected examples of yeast systems biology studies and their applications in biotechnology and medicine. These experiments under controlled conditions can uncover the complexity and interplay of biological networks with their dynamics, basic principles of internal organization, and balanced orchestrated functions between organelles in direct interaction with the environment as well as the characterization of short and long-term effects of perturbations and dysregulation of networks that may illuminate the origin of complex human diseases. Written for the highly successful Methods in Molecular BiologyTM series, this volume contains the kind of detailed description and implementation advice that is crucial for getting optimal results. Practical and cutting-edge, Yeast Systems Biology: Methods and Protocols serves researchers interested in comprehensive systems biology strategies in well-defined model systems with specific objectives as well as a better knowledge of the latest post-genomic strategies at all ‘omic levels and computational approaches towards analysis, integration, and modeling of biological systems, from single-celled organisms to higher eukaryotes.