Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect.
The Warburg effect--a classical hallmark of cancer metabolism--is a counter-intuitive phenomenon in which rapidly proliferating cancer cells resort to inefficient ATP production via glycolysis leading to lactate secretion, instead of relying primarily on more efficient energy production through mito...
Guardado en:
Autores principales: | , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2011
|
Materias: | |
Acceso en línea: | https://doaj.org/article/bc857921080949a0a2d8b9b497320061 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:bc857921080949a0a2d8b9b497320061 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:bc857921080949a0a2d8b9b4973200612021-11-18T05:50:39ZGenome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect.1553-734X1553-735810.1371/journal.pcbi.1002018https://doaj.org/article/bc857921080949a0a2d8b9b4973200612011-03-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21423717/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358The Warburg effect--a classical hallmark of cancer metabolism--is a counter-intuitive phenomenon in which rapidly proliferating cancer cells resort to inefficient ATP production via glycolysis leading to lactate secretion, instead of relying primarily on more efficient energy production through mitochondrial oxidative phosphorylation, as most normal cells do. The causes for the Warburg effect have remained a subject of considerable controversy since its discovery over 80 years ago, with several competing hypotheses. Here, utilizing a genome-scale human metabolic network model accounting for stoichiometric and enzyme solvent capacity considerations, we show that the Warburg effect is a direct consequence of the metabolic adaptation of cancer cells to increase biomass production rate. The analysis is shown to accurately capture a three phase metabolic behavior that is observed experimentally during oncogenic progression, as well as a prominent characteristic of cancer cells involving their preference for glutamine uptake over other amino acids.Tomer ShlomiTomer BenyaminiEyal GottliebRoded SharanEytan RuppinPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 7, Iss 3, p e1002018 (2011) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Biology (General) QH301-705.5 |
spellingShingle |
Biology (General) QH301-705.5 Tomer Shlomi Tomer Benyamini Eyal Gottlieb Roded Sharan Eytan Ruppin Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect. |
description |
The Warburg effect--a classical hallmark of cancer metabolism--is a counter-intuitive phenomenon in which rapidly proliferating cancer cells resort to inefficient ATP production via glycolysis leading to lactate secretion, instead of relying primarily on more efficient energy production through mitochondrial oxidative phosphorylation, as most normal cells do. The causes for the Warburg effect have remained a subject of considerable controversy since its discovery over 80 years ago, with several competing hypotheses. Here, utilizing a genome-scale human metabolic network model accounting for stoichiometric and enzyme solvent capacity considerations, we show that the Warburg effect is a direct consequence of the metabolic adaptation of cancer cells to increase biomass production rate. The analysis is shown to accurately capture a three phase metabolic behavior that is observed experimentally during oncogenic progression, as well as a prominent characteristic of cancer cells involving their preference for glutamine uptake over other amino acids. |
format |
article |
author |
Tomer Shlomi Tomer Benyamini Eyal Gottlieb Roded Sharan Eytan Ruppin |
author_facet |
Tomer Shlomi Tomer Benyamini Eyal Gottlieb Roded Sharan Eytan Ruppin |
author_sort |
Tomer Shlomi |
title |
Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect. |
title_short |
Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect. |
title_full |
Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect. |
title_fullStr |
Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect. |
title_full_unstemmed |
Genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the Warburg effect. |
title_sort |
genome-scale metabolic modeling elucidates the role of proliferative adaptation in causing the warburg effect. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2011 |
url |
https://doaj.org/article/bc857921080949a0a2d8b9b497320061 |
work_keys_str_mv |
AT tomershlomi genomescalemetabolicmodelingelucidatestheroleofproliferativeadaptationincausingthewarburgeffect AT tomerbenyamini genomescalemetabolicmodelingelucidatestheroleofproliferativeadaptationincausingthewarburgeffect AT eyalgottlieb genomescalemetabolicmodelingelucidatestheroleofproliferativeadaptationincausingthewarburgeffect AT rodedsharan genomescalemetabolicmodelingelucidatestheroleofproliferativeadaptationincausingthewarburgeffect AT eytanruppin genomescalemetabolicmodelingelucidatestheroleofproliferativeadaptationincausingthewarburgeffect |
_version_ |
1718424811964727296 |