Use of Composite Protein Database including Search Result Sequences for Mass Spectrometric Analysis of Cell Secretome |
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| Authors: | Jihye Shin Gamin Kim Mohammad Humayun Kabir Seong Jun Park Seoung Taek Lee Cheolju Lee |
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| Affiliation: | 1. Center for Theragnosis, BRI, Korea Institute of Science and Technology, Seoul 136–791, Korea.; 2. Department of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul 120–749, Korea.; 3. Department of Pathology, Yonsei University College of Medicine, Seoul 120–752, Korea.; 4. Department of Biomolecular Science, University of Science and Technology, Daejeon 305–333, Korea.; CHA University, KOREA, REPUBLIC OF, |
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| Abstract: | Mass spectrometric (MS) data of human cell secretomes are usually run through the conventional human database for identification. However, the search may result in false identifications due to contamination of the secretome with fetal bovine serum (FBS) proteins. To overcome this challenge, here we provide a composite protein database including human as well as 199 FBS protein sequences for MS data search of human cell secretomes. Searching against the human-FBS database returned more reliable results with fewer false-positive and false-negative identifications compared to using either a human only database or a human-bovine database. Furthermore, the improved results validated our strategy without complex experiments like SILAC. We expect our strategy to improve the accuracy of human secreted protein identification and to also add value for general use. |
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