Literature DB >> 22161328

Unraveling the complex regulatory relationships between metabolism and signal transduction in cancer.

Michelle L Wynn1, Sofia D Merajver, Santiago Schnell.   

Abstract

Cancer cells exhibit an altered metabolic phenotype, known as the Warburg effect, which is characterized by high rates of glucose uptake and glycolysis, even under aerobic conditions. The Warburg effect appears to be an intrinsic component of most cancers and there is evidence linking cancer progression to mutations, translocations, and alternative splicing of genes that directly code for or have downstream effects on key metabolic enzymes. Many of the same signaling pathways are routinely dysregulated in cancer and a number of important oncogenic signaling pathways play important regulatory roles in central carbon metabolism. Unraveling the complex regulatory relationship between cancer metabolism and signaling requires the application of systems biology approaches. Here we discuss computational approaches for modeling protein signal transduction and metabolism as well as how the regulatory relationship between these two important cellular processes can be combined into hybrid models.

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Year:  2012        PMID: 22161328      PMCID: PMC3669218          DOI: 10.1007/978-1-4419-7210-1_9

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  52 in total

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3.  Use and abuse of the quasi-steady-state approximation.

Authors:  E H Flach; S Schnell
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7.  Tyrosine phosphorylation inhibits PKM2 to promote the Warburg effect and tumor growth.

Authors:  Taro Hitosugi; Sumin Kang; Matthew G Vander Heiden; Tae-Wook Chung; Shannon Elf; Katherine Lythgoe; Shaozhong Dong; Sagar Lonial; Xu Wang; Georgia Z Chen; Jianxin Xie; Ting-Lei Gu; Roberto D Polakiewicz; Johannes L Roesel; Titus J Boggon; Fadlo R Khuri; D Gary Gilliland; Lewis C Cantley; Jonathan Kaufman; Jing Chen
Journal:  Sci Signal       Date:  2009-11-17       Impact factor: 8.192

8.  Boolean network simulations for life scientists.

Authors:  István Albert; Juilee Thakar; Song Li; Ranran Zhang; Réka Albert
Journal:  Source Code Biol Med       Date:  2008-11-14

9.  A hidden feedback in signaling cascades is revealed.

Authors:  Alejandra C Ventura; Jacques-A Sepulchre; Sofía D Merajver
Journal:  PLoS Comput Biol       Date:  2008-03-21       Impact factor: 4.475

10.  Fuzzy logic analysis of kinase pathway crosstalk in TNF/EGF/insulin-induced signaling.

Authors:  Bree B Aldridge; Julio Saez-Rodriguez; Jeremy L Muhlich; Peter K Sorger; Douglas A Lauffenburger
Journal:  PLoS Comput Biol       Date:  2009-04-03       Impact factor: 4.475

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  5 in total

Review 1.  Logic-based models in systems biology: a predictive and parameter-free network analysis method.

Authors:  Michelle L Wynn; Nikita Consul; Sofia D Merajver; Santiago Schnell
Journal:  Integr Biol (Camb)       Date:  2012-11       Impact factor: 2.192

Review 2.  Recent developments on immunotherapy for brain cancer.

Authors:  Derek A Wainwright; Pragati Nigam; Bart Thaci; Mahua Dey; Maciej S Lesniak
Journal:  Expert Opin Emerg Drugs       Date:  2012-04-25       Impact factor: 4.191

3.  Inferring the Effects of Honokiol on the Notch Signaling Pathway in SW480 Colon Cancer Cells.

Authors:  Michelle L Wynn; Nikita Consul; Sofia D Merajver; Santiago Schnell
Journal:  Cancer Inform       Date:  2014-10-13

4.  Modeling integrated cellular machinery using hybrid Petri-Boolean networks.

Authors:  Natalie Berestovsky; Wanding Zhou; Deepak Nagrath; Luay Nakhleh
Journal:  PLoS Comput Biol       Date:  2013-11-07       Impact factor: 4.475

5.  A novel method to identify differential pathways in uterine leiomyomata based on network strategy.

Authors:  Hui-Ling Wang; Jing Liu; Zhao-Min Qin
Journal:  Oncol Lett       Date:  2017-09-14       Impact factor: 2.967

  5 in total

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