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Chapter 11 - Study of cellular oncometabolism via multidimensional protein identification technology

Chapter 11 - Study of cellular oncometabolism via multidimensional protein identification technology
Chapter 11 - Study of cellular oncometabolism via multidimensional protein identification technology
Cellular proteomics is becoming a widespread clinical application, matching the definition of bench-to-bedside translation. Among various fields of investigation, this approach can be applied to the study of the metabolic alterations that accompany oncogenesis and tumor progression, which are globally referred to as oncometabolism. Here, we describe a multidimensional protein identification technology (MuDPIT)-based strategy that can be employed to study the cellular proteome of malignant cells and tissues. This method has previously been shown to be compatible with the reproducible, in-depth analysis of up to a thousand proteins in clinical samples. The possibility to employ this technique to study clinical specimens demonstrates its robustness. MuDPIT is advantageous as compared to other approaches because it is direct, highly sensitive, and reproducible, it provides high resolution with ultra-high mass accuracy, it allows for relative quantifications, and it is compatible with multiplexing (thus limiting costs).This method enables the direct assessment of the proteomic profile of neoplastic cells and tissues and could be employed in the near future as a high-throughput, rapid, quantitative, and cost-effective screening platform for clinical samples.
543
217-234
Academic Press
Aukim-Hastie, Claire
694982c6-0b76-4d0e-948c-eef554e9aa88
Garbis, Spiros D.
7067fd19-50c9-4d42-9611-f370289470bd
Galluzzi, Lorenzo
Kroemer, Guido
Aukim-Hastie, Claire
694982c6-0b76-4d0e-948c-eef554e9aa88
Garbis, Spiros D.
7067fd19-50c9-4d42-9611-f370289470bd
Galluzzi, Lorenzo
Kroemer, Guido

Aukim-Hastie, Claire and Garbis, Spiros D. (2014) Chapter 11 - Study of cellular oncometabolism via multidimensional protein identification technology. In, Galluzzi, Lorenzo and Kroemer, Guido (eds.) Cell-wide Metabolic Alterations Associated with Malignancy. (Methods in Enzymology, 543) London, GB. Academic Press, pp. 217-234. (doi:10.1016/B978-0-12-801329-8.00011-8).

Record type: Book Section

Abstract

Cellular proteomics is becoming a widespread clinical application, matching the definition of bench-to-bedside translation. Among various fields of investigation, this approach can be applied to the study of the metabolic alterations that accompany oncogenesis and tumor progression, which are globally referred to as oncometabolism. Here, we describe a multidimensional protein identification technology (MuDPIT)-based strategy that can be employed to study the cellular proteome of malignant cells and tissues. This method has previously been shown to be compatible with the reproducible, in-depth analysis of up to a thousand proteins in clinical samples. The possibility to employ this technique to study clinical specimens demonstrates its robustness. MuDPIT is advantageous as compared to other approaches because it is direct, highly sensitive, and reproducible, it provides high resolution with ultra-high mass accuracy, it allows for relative quantifications, and it is compatible with multiplexing (thus limiting costs).This method enables the direct assessment of the proteomic profile of neoplastic cells and tissues and could be employed in the near future as a high-throughput, rapid, quantitative, and cost-effective screening platform for clinical samples.

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B9780128013298000118 - Other
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Published date: 17 June 2014
Organisations: Cancer Sciences

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Local EPrints ID: 395397
URI: http://eprints.soton.ac.uk/id/eprint/395397
PURE UUID: 4fc5f575-7e81-407d-9403-754bae9e7236
ORCID for Spiros D. Garbis: ORCID iD orcid.org/0000-0002-1050-0805

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Date deposited: 02 Jun 2016 14:25
Last modified: 15 Mar 2024 00:39

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Contributors

Author: Claire Aukim-Hastie
Author: Spiros D. Garbis ORCID iD
Editor: Lorenzo Galluzzi
Editor: Guido Kroemer

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