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- W2885473934 abstract "Proteins play essential roles in numerous biological processes and being able to pinpoint functional differences between cell or tissue samples can greatly aid in understanding disease processes and metabolic changes. The PEP technology allows systematic analysis of protein functions within a proteome. Hundreds of functional proteins can be separated and functionally assayed to generate a comprehensive three-dimensional landscape of protein families such as protein kinases, phosphatases, proteinases and oxido-reductases. This information can then be integrated into other genomic and proteomic knowledge bases to provide further insight of important biological processes such as cancer development and aging. Using the PEP technology, functional biomarker candidates have been identified from liver, lung and breast cancer patient serum. Both qualitative and quantitative differences of metabolic enzymes and proteases were observed when comparing the cancer patient serum and normal serum. Some of the active enzymes were identified by mass spectrometry and validated in selected bioassays. Deep mass spectrometry analysis revealed that some of the functional biomarkers are protein variants of important biological function. It is believed that this functional proteomics technology will provide a unique approach in the discovery of potential cancer biomarkers for diagnostic and prognostic applications. Further efforts are ongoing to develop a prototype of diagnosis kit for cancer detection based on the current discoveries. Citation Format: Xing Wang, Michael Davies. Serum functional biomarker discovery with PEP technology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5646." @default.
- W2885473934 created "2018-08-22" @default.
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- W2885473934 date "2018-07-01" @default.
- W2885473934 modified "2023-10-17" @default.
- W2885473934 title "Abstract 5646: Serum functional biomarker discovery with PEP technology" @default.
- W2885473934 doi "https://doi.org/10.1158/1538-7445.am2018-5646" @default.
- W2885473934 hasPublicationYear "2018" @default.
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