Correlation-based network analysis of cancer metabolism. A new systems biology approach in metabolomics / by Emily G. Armitage, Helen L. Kotze, Kaye J. Williams.

Format:

Book

Author/Creator:

Armitage, Emily G., author.

Kotze, Helen L., author.

Williams, Kaye J., author.

Contributor:

SpringerLink (Online service)

Series:

SpringerBriefs in systems biology 2193-4746

SpringerBriefs in Systems Biology, 2193-4746

Language:

English

Subjects (All):

Life sciences.

Oncology.

Biological models.

Metabolism.

Physical Description:

1 online resource : color illustration.

Contained In:

Springer eBooks

Place of Publication:

New York, NY : Springer New York : Imprint: Springer, 2014.

System Details:

Mode of access: World Wide Web.

text file PDF

Summary:

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.

Contents:

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.

ISBN:

9781493906154

Access Restriction:

Restricted for use by site license.