Shin, Jihye Kim, Gamin Kabir, Mohammad Humayun Park, Seong Jun Lee, Seoung Taek Lee, Cheolju 2024-01-20T07:31:47Z 2024-01-20T07:31:47Z 2021-09-05 2015-03-30 1932-6203 https://pubs.kist.re.kr/handle/201004/125639 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. English PUBLIC LIBRARY SCIENCE SHOTGUN PROTEOMICS SERUM IDENTIFICATIONS SENSITIVITY Use of Composite Protein Database including Search Result Sequences for Mass Spectrometric Analysis of Cell Secretome Article 10.1371/journal.pone.0121692 1 PLOS ONE, v.10, no.3 PLOS ONE 10 3 scie scopus 000352134700119 2-s2.0-84926625078 Multidisciplinary Sciences Science & Technology - Other Topics Article SHOTGUN PROTEOMICS SERUM IDENTIFICATIONS SENSITIVITY