Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data
| Autor: | Geng Chen, Jiwei Chen, Huanlong Liu, Shuangguan Chen, Yang Zhang, Peng Li, Danielle Thierry-Mieg, Jean Thierry-Mieg, William Mattes, Baitang Ning, Tieliu Shi |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Frontiers in Cell and Developmental Biology, Vol 7 (2019) |
| Druh dokumentu: | article |
| ISSN: | 2296-634X 43309240 |
| DOI: | 10.3389/fcell.2019.00299 |
| Popis: | Secreted proteins (SPs) play important roles in diverse important biological processes; however, a comprehensive and high-quality list of human SPs is still lacking. Here we identified 6,943 high-confidence human SPs (3,522 of them are novel) based on 330,427 human proteins derived from databases of UniProt, Ensembl, AceView, and RefSeq. Notably, 6,267 of 6,943 (90.3%) SPs have the supporting evidences from a large amount of mass spectrometry (MS) and RNA-seq data. We found that the SPs were broadly expressed in diverse tissues as well as human body fluid, and a significant portion of them exhibited tissue-specific expression. Moreover, 14 cancer-specific SPs that their expression levels were significantly associated with the patients’ survival of eight different tumors were identified, which could be potential prognostic biomarkers. Strikingly, 89.21% of 6,943 SPs (2,927 novel SPs) contain known protein domains. Those novel SPs we mainly enriched with the known domains regarding immunity, such as Immunoglobulin V-set and C1-set domain. Specifically, we constructed a user-friendly and freely accessible database, SPRomeDB (www.unimd.org/SPRomeDB), to catalog those SPs. Our comprehensive SP identification and characterization gain insights into human secretome and provide valuable resource for future researches. |
| Databáze: | Directory of Open Access Journals |
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