Document Detail


Quantitative analysis of energy metabolic pathways in MCF-7 breast cancer cells by selected reaction monitoring assay.
MedLine Citation:
PMID:  22535206     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To investigate the quantitative response of energy metabolic pathways in human MCF-7 breast cancer cells to hypoxia, glucose deprivation, and estradiol stimulation, we developed a targeted proteomics assay for accurate quantification of protein expression in glycolysis/gluconeogenesis, TCA cycle, and pentose phosphate pathways. Cell growth conditions were selected to roughly mimic the exposure of cells in the cancer tissue to the intermittent hypoxia, glucose deprivation, and hormonal stimulation. Targeted proteomics assay allowed for reproducible quantification of 76 proteins in four different growth conditions after 24 and 48 h of perturbation. Differential expression of a number of control and metabolic pathway proteins in response to the change of growth conditions was found. Elevated expression of the majority of glycolytic enzymes was observed in hypoxia. Cancer cells, as opposed to near-normal MCF-10A cells, exhibited significantly increased expression of key energy metabolic pathway enzymes (FBP1, IDH2, and G6PD) that are known to redirect cellular metabolism and increase carbon flux through the pentose phosphate pathway. Our quantitative proteomic protocol is based on a mass spectrometry-compatible acid-labile detergent and is described in detail. Optimized parameters of a multiplex selected reaction monitoring (SRM) assay for 76 proteins, 134 proteotypic peptides, and 401 transitions are included and can be downloaded and used with any SRM-compatible mass spectrometer. The presented workflow is an integrated tool for hypothesis-driven studies of mammalian cells as well as functional studies of proteins, and can greatly complement experimental methods in systems biology, metabolic engineering, and metabolic transformation of cancer cells.
Authors:
Andrei P Drabovich; Maria P Pavlou; Apostolos Dimitromanolakis; Eleftherios P Diamandis
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-04-25
Journal Detail:
Title:  Molecular & cellular proteomics : MCP     Volume:  11     ISSN:  1535-9484     ISO Abbreviation:  Mol. Cell Proteomics     Publication Date:  2012 Aug 
Date Detail:
Created Date:  2012-08-08     Completed Date:  2012-12-21     Revised Date:  2013-08-14    
Medline Journal Info:
Nlm Unique ID:  101125647     Medline TA:  Mol Cell Proteomics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  422-34     Citation Subset:  IM    
Affiliation:
Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, ON M5T 3L9, Canada.
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Amino Acid Sequence
Breast Neoplasms / metabolism,  pathology
Cell Hypoxia
Cell Line
Cell Proliferation / drug effects
Chromatography, Liquid
Citric Acid Cycle
Energy Metabolism*
Estradiol / pharmacology
Galactose / pharmacology
Glucose / metabolism
Glutamine / metabolism
Glycolysis
Humans
Linear Models
MCF-7 Cells
Mass Spectrometry
Metabolic Networks and Pathways*
Molecular Sequence Data
Pentose Phosphate Pathway
Peptides / analysis
Proteome / analysis*
Proteomics / methods*
Grant Support
ID/Acronym/Agency:
//Canadian Institutes of Health Research
Chemical
Reg. No./Substance:
0/Peptides; 0/Proteome; 26566-61-0/Galactose; 50-28-2/Estradiol; 50-99-7/Glucose; 56-85-9/Glutamine
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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