Please use this identifier to cite or link to this item:
|Title:||Novel Breast Cancer Biomarkers Identified by Integrative Proteomic and Gene Expression Mapping||Authors:||Ou, K.
|Issue Date:||Apr-2008||Citation:||Ou, K., Yu, K., Kesuma, D., Hooi, M., Huang, N., Chen, W., Lee, S.Y., Goh, X.P., Tan, L.K., Liu, J., Soon, S.Y., Rashid, S.B.A., Putti, T.C., Jikuya, H., Ichikawa, T., Nishimura, O., Salto-Tellez, M., Tan, P. (2008-04). Novel Breast Cancer Biomarkers Identified by Integrative Proteomic and Gene Expression Mapping. Journal of Proteome Research 7 (4) : 1518-1528. ScholarBank@NUS Repository. https://doi.org/10.1021/pr700820g||Abstract:||Proteomic and transcriptomic platforms both play important roles in cancer research, with differing strengths and limitations. Here, we describe a proteo-transcriptomic integrative strategy for discovering novel cancer biomarkers, combining the direct visualization of differentially expressed proteins with the high-throughput scale of gene expression profiling. Using breast cancer as a case example, we generated comprehensive two-dimensional electrophoresis (2DE)/mass spectrometry (MS) proteomic maps of cancer (MCF-7 and HCC-38) and control (CCD-1059Sk) cell lines, identifying 1724 expressed protein spots representing 484 different protein species. The differentially expressed cell-line proteins were then mapped to mRNA transcript databases of cancer cell lines and primary breast tumors to identify candidate biomarkers that were concordantly expressed at the gene expression level. Of the top nine selected biomarker candidates, we reidentified ANX1, a protein previously reported to be differentially expressed in breast cancers and normal tissues, and validated three other novel candidates, CRAB, 6PGL, and CAZ2, as differentially expressed proteins by immunohistochemistry on breast tissue microarrays. In total, close to half (4/9) of our protein biomarker candidates were successfully validated. Our study thus illustrates how the systematic integration of proteomic and transcriptomic data from both cell line and primary tissue samples can prove advantageous for accelerating cancer biomarker discovery. © 2008 American Chemical Society.||Source Title:||Journal of Proteome Research||URI:||http://scholarbank.nus.edu.sg/handle/10635/110598||ISSN:||15353893||DOI:||10.1021/pr700820g|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 13, 2019
WEB OF SCIENCETM
checked on Aug 5, 2019
checked on Aug 16, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.