title: Phenotyping breast cancer cell lines EM-G3, HCC1937, MCF7 and MDA-MB-231 using 2-D electrophoresis and affinity chromatography for glutathione-binding proteins.
abstract: BACKGROUND
  Transformed phenotypes are common to cell lines derived from various cancers. Proteome profiling is a valuable tool that may reveal uncharacteristic cell phenotypes in transformed cells. Changes in expression of glutathione S-transferases (GSTs) and other proteins interacting with glutathione (GSH) in model cell lines could be of particular interest.
  
  
  METHODS
  We compared the phenotypes of breast cell lines EM-G3, HCC1937, MCF7 and MDA-MB-231 using 2-D electrophoresis (2-DE). We further separated GSH-binding proteins from the cell lines using affinity chromatography with GSH-Sepharose 4B, performed 2-DE analysis and identified the main protein spots.
  
  
  RESULTS
  Correlation coefficients among 2-DE gels from the cell lines were lower than 0.65, pointing to dissimilarity among the cell lines. Differences in primary constituents of the cytoskeleton were shown by the 2-D protein maps and western blots. The spot patterns in gels of GSH-binding fractions from primary carcinoma-derived cell lines HCC1937 and EM-G3 were similar to each other, and they differed from the spot patterns of cell lines MCF7 and MDA-MB-231 that were derived from pleural effusions of metastatic mammary carcinoma patients. Major differences in the expression of GST P1-1 and carbonyl reductase [NADPH] 1 were observed among the cell lines, indicating differential abilities of the cell lines to metabolize xenobiotics.
  
  
  CONCLUSIONS
  Our results confirmed the applicability of targeted affinity chromatography to proteome profiling and allowed us to characterize the phenotypes of four breast cancer cell lines.
authors: Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic vvi, Prague, Czech Republic.
authors: Jana
authors: J
authors: Mladkova
authors: Miloslav
authors: M
authors: Sanda
authors: Eva
authors: E
authors: Matouskova
authors: Irena
authors: I
authors: Selicharova
mesh_terms: D000328:Adult; D000368:Aged; D000429:Alcohol Oxidoreductases / Q000378:metabolism*; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000627:therapeutic use; D015153:Blotting, Western; D001943:Breast Neoplasms / Q000188:drug therapy / Q000378:metabolism* / Q000473:pathology; D000069287:Capecitabine; D016190:Carboplatin / Q000008:administration & dosage; D016022:Case-Control Studies; D002846:Chromatography, Affinity; D002945:Cisplatin / Q000008:administration & dosage; D015179:Colorectal Neoplasms / Q000188:drug therapy / Q000378:metabolism / Q000473:pathology; D003841:Deoxycytidine / Q000008:administration & dosage / Q000031:analogs & derivatives; D015180:Electrophoresis, Gel, Two-Dimensional; D005260:Female; D005472:Fluorouracil / Q000008:administration & dosage / Q000031:analogs & derivatives; D051549:Glutathione S-Transferase pi / Q000378:metabolism*; D006258:Head and Neck Neoplasms / Q000188:drug therapy / Q000378:metabolism / Q000473:pathology; D006801:Humans; D008175:Lung Neoplasms / Q000188:drug therapy / Q000378:metabolism / Q000473:pathology; D008297:Male; D008875:Middle Aged; D009482:Neurophysiology; D009944:Organoplatinum Compounds / Q000008:administration & dosage; D000077150:Oxaliplatin; D017239:Paclitaxel / Q000008:administration & dosage; D010641:Phenotype; D015996:Survival Rate; D016896:Treatment Outcome
chemical_list: D009944:Organoplatinum Compounds; D000077150:Oxaliplatin; D003841:Deoxycytidine; D000069287:Capecitabine; D016190:Carboplatin; D000429:Alcohol Oxidoreductases; C531129:CBR1 protein, human; C496556:GSTP1 protein, human; D051549:Glutathione S-Transferase pi; D017239:Paclitaxel; D002945:Cisplatin; D005472:Fluorouracil