Biotech Support Group reported a new research report which highlights their proteomic sample preparation technology as an initial enrichment step to the Array Bridge (St. Louis, MO) Protein Elution Plate (PEP). The combined methods support functional proteomic profiling of breast cancer sera.
In this study, a functional proteomics technology was used to systematically monitor metabolic enzyme and protease activities from resolved serum proteins produced by a modified 2-D gel separation and subsequent Protein Elution Plate, a method collectively called PEP. AlbuVoid was used to remove Albumin and enrich the low abundance serum proteome.
The article states “The most dramatic difference for enzyme activity detection in using the AlbuVoid™ for serum protein enrichment was demonstrated. Compared with the direct serum proteinase measurement, both the levels and species of proteases were increased significantly in the enriched serum sample. Protease activity in the direct serum analysis suggested that the protease levels in the serum were below the detection threshold of protease activity ,and it is necessary to use AlbuVoid to enrich these low level proteases to bring them to a high enough level to be detected.”
Both qualitative and quantitative differences in the metabolic enzyme and protease activity were detected between breast cancer patient and control group, providing excellent biomarker candidates for breast cancer diagnosis and drug development.
“We are very pleased to see that AlbuVoid provided the enrichment necessary to uncover biomarker candidates for cancer using the PEP platform. A key feature in all of our products is to not only separate proteomes but to retain the functional features of proteins after separations. This is important as protein conformations is highly variable, each conformation contributes to its own unique functional activity. AlbuVoid enrichment followed by PEP can profile these functional activities” states Swapan Roy, Ph.D., President and Founder of Biotech Support Group.
Wang, D. L., Xiao, C., Fu, G., Wang, X., & Li, L. (2017). Identification of potential serum biomarkers for breast cancer using a functional proteomics technology. Biomarker Research, 5(1). doi:10.1186/s40364-017-0092-9
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