Article

Protein expression profiling of breast cancer cells by dissociable antibody microarray (DAMA) staining

Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803, USA.
Molecular &amp Cellular Proteomics (Impact Factor: 7.25). 02/2008; 7(1):163-9. DOI: 10.1074/mcp.M700115-MCP200
Source: PubMed

ABSTRACT Dissociable antibody microarray (DAMA) staining is a technology that combines protein microarrays with traditional immunostaining techniques. It can simultaneously determine the expression and subcellular location of hundreds of proteins in cultured cells and tissue samples. We developed this technology and demonstrated its application in identifying potential biomarkers for breast cancer. We compared the expression profiles of 312 proteins among three normal breast cell lines and seven breast cancer cell lines and identified 10 differentially expressed proteins by the data analysis program DAMAPEP (DAMA protein expression profiling). Among those proteins, RAIDD, Rb p107, Rb p130, SRF, and Tyk2 were confirmed by Western blot and statistical analysis to have higher expression levels in breast cancer cells than in normal breast cells. These proteins could be potential biomarkers for the diagnosis of breast cancer.

Download full-text

Full-text

Available from: Wayne Zhou, Feb 27, 2015
1 Follower
 · 
99 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: Victoria Heath and Roy Bicknell – University of Birmingham, Institute for Biomedical Research, The Medical School, Edgbaston, Birmingham B15 2TT, UK
    Drug Discovery Today Therapeutic Strategies 12/2007; 4(4):245-250. DOI:10.1016/j.ddstr.2008.02.007
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Early cancer diagnosis and evaluation of cancer progression during treatment are two important factors for clinical therapy. In this study we propose a novel approach which automatically compares the subcellular location of proteins between normal and cancerous tissues in order to identify proteins whose distribution is modified by oncogenesis. This study analyzes 258 proteins in 14 different cancer tissues and their corresponding normal tissues using images provided by the tissue microarray collection of the Human Protein Atlas. Using texture features automatically extracted from the tissue images, 14 machine classifiers were trained to recognize the patterns of eight major organelles in each tissue. For each tissue-protein combination, the results of the classifier for normal and cancerous tissues were compared. Eleven proteins were identified as showing differences in location; these proteins may have potential as biomarkers.
    Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging 01/2008; 4540993:304-307. DOI:10.1109/ISBI.2008.4540993
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, we describe a simple, rapid, specific, sensitive, and reliable method, the FICP method (Fluorescence Immunoassay for Cellular Protein detection) which is readily applicable to the detection of proteins directly on cells cultured in 96-well plates. In order to illustrate this method, we report on the detection of two different proteins, the cell cycle proteins cyclin D1 and p21(CIP1/WAF1), in untreated and 2-cyclopenten-1-one treated breast cancer cells. When the FICP method was compared with Western blot procedure, FICP was found to be superior for many characteristics. By using this method, we were able to quantify biological effects of a specific compound on protein levels in non-lysed cells and perform statistical analysis. Therefore, we believe this screening assay could be very useful for detecting poorly expressed proteins and for drug development.
    Biological Procedures Online 02/2008; 10:83-9. DOI:10.1251/bpo146 · 1.30 Impact Factor
Show more