Literature DB >> 16325864

Incorporating expression data in metabolic modeling: a case study of lactate dehydrogenase.

Joshua Downer1, Joel R Sevinsky, Natalie G Ahn, Katheryn A Resing, M D Betterton.   

Abstract

Integrating biological information from different sources to understand cellular processes is an important problem in systems biology. We use data from mRNA expression arrays and chemical kinetics to formulate a metabolic model relevant to K562 erythroleukemia cells. MAP kinase pathway activation alters the expression of metabolic enzymes in K562 cells. Our array data show changes in expression of lactate dehydrogenase (LDH) isoforms after treatment with phorbol 12-myristate 13-acetate (PMA), which activates MAP kinase signaling. We model the change in lactate production which occurs when the MAP kinase pathway is activated, using a non-equilibrium, chemical-kinetic model of homolactic fermentation. In particular, we examine the role of LDH isoforms, which catalyse the conversion of pyruvate to lactate. Changes in the isoform ratio are not the primary determinant of the production of lactate. Rather, the total concentration of LDH controls the lactate concentration.

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Year:  2005        PMID: 16325864     DOI: 10.1016/j.jtbi.2005.10.007

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  8 in total

1.  High brain lactate is not caused by a shift in the lactate dehydrogenase A/B ratio.

Authors:  Bjørn Quistorff; Niels Grunnet
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-28       Impact factor: 11.205

2.  The effect of exogenous substrate concentrations on true and apparent metabolism of hyperpolarized pyruvate in the isolated perfused lung.

Authors:  Stephen Kadlecek; Hoora Shaghaghi; Sarmad Siddiqui; Harrilla Profka; Mehrdad Pourfathi; Rahim Rizi
Journal:  NMR Biomed       Date:  2014-10-20       Impact factor: 4.044

3.  The isoenzyme pattern of LDH does not play a physiological role; except perhaps during fast transitions in energy metabolism.

Authors:  Bjørn Quistorff; Niels Grunnet
Journal:  Aging (Albany NY)       Date:  2011-05       Impact factor: 5.682

4.  Lactate is always the end product of glycolysis.

Authors:  Matthew J Rogatzki; Brian S Ferguson; Matthew L Goodwin; L Bruce Gladden
Journal:  Front Neurosci       Date:  2015-02-27       Impact factor: 4.677

5.  Hyperpolarised 13C-MRI identifies the emergence of a glycolytic cell population within intermediate-risk human prostate cancer.

Authors:  Tristan Barrett; Ferdia A Gallagher; Nikita Sushentsev; Mary A McLean; Anne Y Warren; Arnold J V Benjamin; Cara Brodie; Amy Frary; Andrew B Gill; Julia Jones; Joshua D Kaggie; Benjamin W Lamb; Matthew J Locke; Jodi L Miller; Ian G Mills; Andrew N Priest; Fraser J L Robb; Nimish Shah; Rolf F Schulte; Martin J Graves; Vincent J Gnanapragasam; Kevin M Brindle
Journal:  Nat Commun       Date:  2022-01-24       Impact factor: 14.919

6.  Genome-level transcription data of Yersinia pestis analyzed with a new metabolic constraint-based approach.

Authors:  Ali Navid; Eivind Almaas
Journal:  BMC Syst Biol       Date:  2012-12-06

7.  Estrogen-related receptor alpha modulates lactate dehydrogenase activity in thyroid tumors.

Authors:  Delphine Mirebeau-Prunier; Soazig Le Pennec; Caroline Jacques; Jean-Fred Fontaine; Naig Gueguen; Nathalie Boutet-Bouzamondo; Audrey Donnart; Yves Malthièry; Frédérique Savagner
Journal:  PLoS One       Date:  2013-03-13       Impact factor: 3.240

8.  β-amyloid monomers drive up neuronal aerobic glycolysis in response to energy stressors.

Authors:  Rosa Santangelo; Maria Laura Giuffrida; Cristina Satriano; Marianna Flora Tomasello; Stefania Zimbone; Agata Copani
Journal:  Aging (Albany NY)       Date:  2021-07-21       Impact factor: 5.682

  8 in total

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