Expression profiling of breast cancer cells by differential peptide display.
Expression profiling of RNAs or proteins has become a promising means to investigate the heterogeneity of histopathologically defined classes of cancer. Peptides, representing degradation as well as processing products of proteins offer an even closer insight into cell physiology. Peptides are related to the turnover of cellular proteins and are capable to reflect disease-related changes in homoeostasis of the human body. Furthermore, peptides derived from tumor cells are potentially useful markers in the early detection of cancer. In this study, we introduced a method called differential peptide display (DPD) for separating, detecting, and identifying native peptides derived from whole cell extracts. This method is a highly standardized procedure, combining the power of reversed-phase chromatography with mass spectrometry. This technology is suitable to analyze cell lines, various tissue types and human body fluids. Peptide-based profiling of normal human mammary epithelial cells (HMEC) and the breast cancer cell line MCF-7 revealed complex peptide patterns comprising of up to 2300 peptides. Most of these peptides were common to both cell lines whereas about 8% differed in their abundance. Several of the differentially expressed peptides were identified as fragments of known proteins such as intermediate filament proteins, thymosins or Cathepsin D. Comparing cell lines with native tumors, overlapping peptide patterns were found between HMEC and a phylloides tumor (CP) on the one hand and MCF-7 cells and tissue from a invasive ductal carcinoma (DC) on the other hand.
Tammen
Harald
H
BioVisioN AG, Hannover, Germany.
Kreipe
Hans
H
Hess
Rüdiger
R
Kellmann
Markus
M
Lehmann
Ulrich
U
Pich
Andreas
A
Lamping
Norbert
N
Schulz-Knappe
Peter
P
Zucht
Hans-Dieter
HD
Lilischkis
Richard
R
D014408:Biomarkers, Tumor / Q000378:metabolism; D001940:Breast / Q000166:cytology; D001943:Breast Neoplasms / Q000235:genetics / Q000378:metabolism*; D002478:Cells, Cultured; D004847:Epithelial Cells / Q000378:metabolism*; D020869:Gene Expression Profiling / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D040901:Proteomics / Q000379:methods*; D014407:Tumor Cells, Cultured
D014408:Biomarkers, Tumor