Literature DB >> 21998308

Comparative metabolic flux profiling of melanoma cell lines: beyond the Warburg effect.

David A Scott1, Adam D Richardson, Fabian V Filipp, Christine A Knutzen, Gary G Chiang, Ze'ev A Ronai, Andrei L Osterman, Jeffrey W Smith.   

Abstract

Metabolic rewiring is an established hallmark of cancer, but the details of this rewiring at a systems level are not well characterized. Here we acquire this insight in a melanoma cell line panel by tracking metabolic flux using isotopically labeled nutrients. Metabolic profiling and flux balance analysis were used to compare normal melanocytes to melanoma cell lines in both normoxic and hypoxic conditions. All melanoma cells exhibited the Warburg phenomenon; they used more glucose and produced more lactate than melanocytes. Other changes were observed in melanoma cells that are not described by the Warburg phenomenon. Hypoxic conditions increased fermentation of glucose to lactate in both melanocytes and melanoma cells (the Pasteur effect). However, metabolism was not strictly glycolytic, as the tricarboxylic acid (TCA) cycle was functional in all melanoma lines, even under hypoxia. Furthermore, glutamine was also a key nutrient providing a substantial anaplerotic contribution to the TCA cycle. In the WM35 melanoma line glutamine was metabolized in the "reverse" (reductive) direction in the TCA cycle, particularly under hypoxia. This reverse flux allowed the melanoma cells to synthesize fatty acids from glutamine while glucose was primarily converted to lactate. Altogether, this study, which is the first comprehensive comparative analysis of metabolism in melanoma cells, provides a foundation for targeting metabolism for therapeutic benefit in melanoma.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21998308      PMCID: PMC3234981          DOI: 10.1074/jbc.M111.282046

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  45 in total

Review 1.  Molecular imaging of cancer with positron emission tomography.

Authors:  Sanjiv Sam Gambhir
Journal:  Nat Rev Cancer       Date:  2002-09       Impact factor: 60.716

2.  Correcting mass isotopomer distributions for naturally occurring isotopes.

Authors:  Wouter A van Winden; Christoph Wittmann; Elmar Heinzle; Joseph J Heijnen
Journal:  Biotechnol Bioeng       Date:  2002-11-20       Impact factor: 4.530

3.  On respiratory impairment in cancer cells.

Authors:  O WARBURG
Journal:  Science       Date:  1956-08-10       Impact factor: 47.728

4.  Java Treeview--extensible visualization of microarray data.

Authors:  Alok J Saldanha
Journal:  Bioinformatics       Date:  2004-06-04       Impact factor: 6.937

5.  Determination of metabolic flux ratios from 13C-experiments and gas chromatography-mass spectrometry data: protocol and principles.

Authors:  Annik Nanchen; Tobias Fuhrer; Uwe Sauer
Journal:  Methods Mol Biol       Date:  2007

6.  Mutant V599EB-Raf regulates growth and vascular development of malignant melanoma tumors.

Authors:  Arati Sharma; Nishit R Trivedi; Melissa A Zimmerman; David A Tuveson; Charles D Smith; Gavin P Robertson
Journal:  Cancer Res       Date:  2005-03-15       Impact factor: 12.701

7.  Acylic sugar derivatives for GC/MS analysis of 13C-enrichment during carbohydrate metabolism.

Authors:  Neil P J Price
Journal:  Anal Chem       Date:  2004-11-15       Impact factor: 6.986

8.  HIF-1 mediates adaptation to hypoxia by actively downregulating mitochondrial oxygen consumption.

Authors:  Ioanna Papandreou; Rob A Cairns; Lucrezia Fontana; Ai Lin Lim; Nicholas C Denko
Journal:  Cell Metab       Date:  2006-03       Impact factor: 27.287

9.  HIF-1-mediated expression of pyruvate dehydrogenase kinase: a metabolic switch required for cellular adaptation to hypoxia.

Authors:  Jung-whan Kim; Irina Tchernyshyov; Gregg L Semenza; Chi V Dang
Journal:  Cell Metab       Date:  2006-03       Impact factor: 27.287

10.  Cellular senescence in naevi and immortalisation in melanoma: a role for p16?

Authors:  V C Gray-Schopfer; S C Cheong; H Chong; J Chow; T Moss; Z A Abdel-Malek; R Marais; D Wynford-Thomas; D C Bennett
Journal:  Br J Cancer       Date:  2006-08-01       Impact factor: 7.640

View more
  161 in total

1.  CeCaFDB: a curated database for the documentation, visualization and comparative analysis of central carbon metabolic flux distributions explored by 13C-fluxomics.

Authors:  Zhengdong Zhang; Tie Shen; Bin Rui; Wenwei Zhou; Xiangfei Zhou; Chuanyu Shang; Chenwei Xin; Xiaoguang Liu; Gang Li; Jiansi Jiang; Chao Li; Ruiyuan Li; Mengshu Han; Shanping You; Guojun Yu; Yin Yi; Han Wen; Zhijie Liu; Xiaoyao Xie
Journal:  Nucleic Acids Res       Date:  2014-11-11       Impact factor: 16.971

Review 2.  Cellular metabolism and disease: what do metabolic outliers teach us?

Authors:  Ralph J DeBerardinis; Craig B Thompson
Journal:  Cell       Date:  2012-03-16       Impact factor: 41.582

3.  Exploiting tumor metabolism: challenges for clinical translation.

Authors:  Matthew G Vander Heiden
Journal:  J Clin Invest       Date:  2013-09-03       Impact factor: 14.808

Review 4.  Glutamine and cancer: cell biology, physiology, and clinical opportunities.

Authors:  Christopher T Hensley; Ajla T Wasti; Ralph J DeBerardinis
Journal:  J Clin Invest       Date:  2013-09-03       Impact factor: 14.808

Review 5.  VDAC Regulation: A Mitochondrial Target to Stop Cell Proliferation.

Authors:  Diana Fang; Eduardo N Maldonado
Journal:  Adv Cancer Res       Date:  2018-03-02       Impact factor: 6.242

6.  Inhibition of glioblastoma tumorspheres by combined treatment with 2-deoxyglucose and metformin.

Authors:  Eui Hyun Kim; Ji-Hyun Lee; Yoonjee Oh; Ilkyoo Koh; Jin-Kyoung Shim; Junseong Park; Junjeong Choi; Mijin Yun; Jeong Yong Jeon; Yong Min Huh; Jong Hee Chang; Sun Ho Kim; Kyung-Sup Kim; Jae-Ho Cheong; Pilnam Kim; Seok-Gu Kang
Journal:  Neuro Oncol       Date:  2017-02-01       Impact factor: 12.300

7.  Energy metabolism of cancer: Glycolysis versus oxidative phosphorylation (Review).

Authors:  Jie Zheng
Journal:  Oncol Lett       Date:  2012-09-20       Impact factor: 2.967

Review 8.  Glutamine-fueled mitochondrial metabolism is decoupled from glycolysis in melanoma.

Authors:  Fabian V Filipp; Boris Ratnikov; Jessica De Ingeniis; Jeffrey W Smith; Andrei L Osterman; David A Scott
Journal:  Pigment Cell Melanoma Res       Date:  2012-10-01       Impact factor: 4.693

9.  Glucose-dependent de novo lipogenesis in B lymphocytes: a requirement for atp-citrate lyase in lipopolysaccharide-induced differentiation.

Authors:  Fay J Dufort; Maria R Gumina; Nathan L Ta; Yongzhen Tao; Shannon A Heyse; David A Scott; Adam D Richardson; Thomas N Seyfried; Thomas C Chiles
Journal:  J Biol Chem       Date:  2014-01-27       Impact factor: 5.157

Review 10.  Global profiling strategies for mapping dysregulated metabolic pathways in cancer.

Authors:  Daniel I Benjamin; Benjamin F Cravatt; Daniel K Nomura
Journal:  Cell Metab       Date:  2012-10-11       Impact factor: 27.287

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.