Literature DB >> 31845118

Gibbs free energy of protein-protein interactions correlates with ATP production in cancer cells.

Stefan M Golas1, Amber N Nguyen2, Edward A Rietman3,4, Jack A Tuszynski5,6,7.   

Abstract

In this paper, we analyze several cancer cell types from two seemingly independent angles: (a) the over-expression of various proteins participating in protein-protein interaction networks and (b) a metabolic shift from oxidative phosphorylation to glycolysis. We use large data sets to obtain a thermodynamic measure of the protein-protein interaction network, namely the associated Gibbs free energy. We find a strong inverse correlation between the percentage of energy production via oxidative phosphorylation and the Gibbs free energy of the protein networks. The latter is a measure of functional dysregulation within the cell. Our findings corroborate earlier indications that signaling pathway upregulation in cancer cells is linked to the metabolic shift known as the Warburg effect; hence, these two seemingly independent characteristics of cancer phenotype may be interconnected.

Entities:  

Keywords:  Cancer; Gibbs free energy; Protein-protein interactions

Mesh:

Substances:

Year:  2019        PMID: 31845118      PMCID: PMC6917683          DOI: 10.1007/s10867-019-09537-1

Source DB:  PubMed          Journal:  J Biol Phys        ISSN: 0092-0606            Impact factor:   1.365


  16 in total

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Authors:  Mathias Wilhelm; Judith Schlegl; Hannes Hahne; Amin Moghaddas Gholami; Marcus Lieberenz; Mikhail M Savitski; Emanuel Ziegler; Lars Butzmann; Siegfried Gessulat; Harald Marx; Toby Mathieson; Simone Lemeer; Karsten Schnatbaum; Ulf Reimer; Holger Wenschuh; Martin Mollenhauer; Julia Slotta-Huspenina; Joos-Hendrik Boese; Marcus Bantscheff; Anja Gerstmair; Franz Faerber; Bernhard Kuster
Journal:  Nature       Date:  2014-05-29       Impact factor: 49.962

2.  Molecular signaling network complexity is correlated with cancer patient survivability.

Authors:  Dylan Breitkreutz; Lynn Hlatky; Edward Rietman; Jack A Tuszynski
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-21       Impact factor: 11.205

3.  Contribution by different fuels and metabolic pathways to the total ATP turnover of proliferating MCF-7 breast cancer cells.

Authors:  Michael Guppy; Peter Leedman; XinLin Zu; Victoria Russell
Journal:  Biochem J       Date:  2002-05-15       Impact factor: 3.857

Review 4.  Energy metabolism in tumor cells.

Authors:  Rafael Moreno-Sánchez; Sara Rodríguez-Enríquez; Alvaro Marín-Hernández; Emma Saavedra
Journal:  FEBS J       Date:  2007-03       Impact factor: 5.542

Review 5.  Choosing between glycolysis and oxidative phosphorylation: a tumor's dilemma?

Authors:  Caroline Jose; Nadège Bellance; Rodrigue Rossignol
Journal:  Biochim Biophys Acta       Date:  2010-10-16

Review 6.  Glycolysis in cancer: a potential target for therapy.

Authors:  Robert A Gatenby; Robert J Gillies
Journal:  Int J Biochem Cell Biol       Date:  2007-04-04       Impact factor: 5.085

Review 7.  Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: a review.

Authors:  P Vaupel; F Kallinowski; P Okunieff
Journal:  Cancer Res       Date:  1989-12-01       Impact factor: 12.701

8.  A draft map of the human proteome.

Authors:  Min-Sik Kim; Sneha M Pinto; Derese Getnet; Raja Sekhar Nirujogi; Srikanth S Manda; Raghothama Chaerkady; Anil K Madugundu; Dhanashree S Kelkar; Ruth Isserlin; Shobhit Jain; Joji K Thomas; Babylakshmi Muthusamy; Pamela Leal-Rojas; Praveen Kumar; Nandini A Sahasrabuddhe; Lavanya Balakrishnan; Jayshree Advani; Bijesh George; Santosh Renuse; Lakshmi Dhevi N Selvan; Arun H Patil; Vishalakshi Nanjappa; Aneesha Radhakrishnan; Samarjeet Prasad; Tejaswini Subbannayya; Rajesh Raju; Manish Kumar; Sreelakshmi K Sreenivasamurthy; Arivusudar Marimuthu; Gajanan J Sathe; Sandip Chavan; Keshava K Datta; Yashwanth Subbannayya; Apeksha Sahu; Soujanya D Yelamanchi; Savita Jayaram; Pavithra Rajagopalan; Jyoti Sharma; Krishna R Murthy; Nazia Syed; Renu Goel; Aafaque A Khan; Sartaj Ahmad; Gourav Dey; Keshav Mudgal; Aditi Chatterjee; Tai-Chung Huang; Jun Zhong; Xinyan Wu; Patrick G Shaw; Donald Freed; Muhammad S Zahari; Kanchan K Mukherjee; Subramanian Shankar; Anita Mahadevan; Henry Lam; Christopher J Mitchell; Susarla Krishna Shankar; Parthasarathy Satishchandra; John T Schroeder; Ravi Sirdeshmukh; Anirban Maitra; Steven D Leach; Charles G Drake; Marc K Halushka; T S Keshava Prasad; Ralph H Hruban; Candace L Kerr; Gary D Bader; Christine A Iacobuzio-Donahue; Harsha Gowda; Akhilesh Pandey
Journal:  Nature       Date:  2014-05-29       Impact factor: 49.962

9.  Large scale comparison of gene expression levels by microarrays and RNAseq using TCGA data.

Authors:  Yan Guo; Quanhu Sheng; Jiang Li; Fei Ye; David C Samuels; Yu Shyr
Journal:  PLoS One       Date:  2013-08-20       Impact factor: 3.240

10.  Lactic acidosis switches cancer cells from aerobic glycolysis back to dominant oxidative phosphorylation.

Authors:  Hao Wu; Minfeng Ying; Xun Hu
Journal:  Oncotarget       Date:  2016-06-28
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  1 in total

1.  Network representation and analysis of energy coupling mechanisms in cellular metabolism by a graph-theoretical approach.

Authors:  Sunil Nath
Journal:  Theory Biosci       Date:  2022-05-02       Impact factor: 1.315

  1 in total

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