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Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
Published on: September 25, 2011
Quantitative proteome analysis of colorectal cancer-related differential proteins
Yanbin Zhang1, Yue Liu1, Yingjiang Ye2
1Beijing Key Lab for Therapeutic Cancer Vaccines, Capital Medical University Cancer Center, Beijing Shijitan Hospital, The Capital Medical University, Beijing, China.
Purpose:
To evaluate a new strategy for profiling proteomic changes in colorectal cancer (CRC).
Methodes:
We used laser capture microdissection (LCM) to obtain cells from 20 CRC and paired normal mucosal tissues. The differential proteins between the microdissected tumor cells and normal mucosa epithelia were analyzed by acetylation stable isotopic labeling coupled with L linear ion trap Fourier transform ion cyclotron resonance mass spectrometry (LTQ-FT MS). Western blotting was used to assess the differential expression of proteins. We used bioinformatics tools for cluster and ingenuity pathway analysis of the differential proteins.
Results:
In total, 798 confident proteins were quantified and 137 proteins were differentially expressed by at least twofold, including 67 that were upregulated and 70 that were downregulated in cancer. Two differential proteins, solute carrier family 12 member 2 (SLC12A2) and Ras-related protein Rab-10, were validated by Western blotting, and the results were consistent with acetylation stable isotopic labeling analysis. According to gene ontology analysis, CRC-related differential proteins covered a wide range of subcellular locations and were involved in many biological processes. According to ingenuity pathway analysis of the differential proteins, the most relevant canonical pathway associated with CRC was the 14-3-3-mediated signaling pathway, and seven reliable functional networks including cellular growth and proliferation, amino acid metabolism, inflammatory response, embryonic development, carbohydrate metabolism, cellular assembly and organization, and cell morphology were obtained.
Conclusions:
Combination of LCM, acetylation stable isotopic labeling analysis and LTQ-FT MS is effective for profiling proteomic changes in CRC cells.

