Correlation-based network analysis of cancer metabolism - Emily G. Armitage, Helen L. Kotze, Kaye J. Williams

Correlation-based network analysis of cancer metabolism

A new systems biology approach in metabolomics
Buch | Softcover
61 Seiten
2014
Springer-Verlag New York Inc.
978-1-4939-0614-7 (ISBN)
53,49 inkl. MwSt
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.

An overview of Cancer metabolism.- Cancer hypoxia and the tumour microenvironment as effectors of cancer metabolism.- Metabolic fingerprinting of in vitro cancer cell samples.- Network-based correlation analysis of metabolic fingerprinting data.- Case study: Systems biology of HIF metabolism in cancer.- Case study: Systems biology of chemotherapy resistance in hypoxic cancer.- Index.

Erscheint lt. Verlag 12.5.2014
Reihe/Serie SpringerBriefs in Systems Biology
Zusatzinfo 13 Illustrations, color; 7 Illustrations, black and white; VI, 61 p. 20 illus., 13 illus. in color.
Verlagsort New York
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Weitere Themen Bioinformatik
Medizin / Pharmazie Medizinische Fachgebiete Onkologie
Naturwissenschaften Biologie Zellbiologie
Schlagworte Analysis • Correlation • Metabolomics • Network
ISBN-10 1-4939-0614-3 / 1493906143
ISBN-13 978-1-4939-0614-7 / 9781493906147
Zustand Neuware
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