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.
217-234
Aukim-Hastie, Claire
694982c6-0b76-4d0e-948c-eef554e9aa88
Garbis, Spiros D.
7067fd19-50c9-4d42-9611-f370289470bd
17 June 2014
Aukim-Hastie, Claire
694982c6-0b76-4d0e-948c-eef554e9aa88
Garbis, Spiros D.
7067fd19-50c9-4d42-9611-f370289470bd
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, .
(doi:10.1016/B978-0-12-801329-8.00011-8).
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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.
Text
B9780128013298000118
- Other
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Published date: 17 June 2014
Organisations:
Cancer Sciences
Identifiers
Local EPrints ID: 395397
URI: http://eprints.soton.ac.uk/id/eprint/395397
PURE UUID: 4fc5f575-7e81-407d-9403-754bae9e7236
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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
Editor:
Lorenzo Galluzzi
Editor:
Guido Kroemer
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