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Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data
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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881247/ https://www.ncbi.nlm.nih.gov/pubmed/31824949 http://dx.doi.org/10.3389/fcell.2019.00299 |
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author | Chen, Geng Chen, Jiwei Liu, Huanlong Chen, Shuangguan Zhang, Yang Li, Peng Thierry-Mieg, Danielle Thierry-Mieg, Jean Mattes, William Ning, Baitang Shi, Tieliu |
author_facet | Chen, Geng Chen, Jiwei Liu, Huanlong Chen, Shuangguan Zhang, Yang Li, Peng Thierry-Mieg, Danielle Thierry-Mieg, Jean Mattes, William Ning, Baitang Shi, Tieliu |
author_sort | Chen, Geng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6881247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68812472019-12-10 Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data Chen, Geng Chen, Jiwei Liu, Huanlong Chen, Shuangguan Zhang, Yang Li, Peng Thierry-Mieg, Danielle Thierry-Mieg, Jean Mattes, William Ning, Baitang Shi, Tieliu Front Cell Dev Biol Cell and Developmental Biology 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. Frontiers Media S.A. 2019-11-21 /pmc/articles/PMC6881247/ /pubmed/31824949 http://dx.doi.org/10.3389/fcell.2019.00299 Text en Copyright © 2019 Chen, Chen, Liu, Chen, Zhang, Li, Thierry-Mieg, Thierry-Mieg, Mattes, Ning and Shi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Chen, Geng Chen, Jiwei Liu, Huanlong Chen, Shuangguan Zhang, Yang Li, Peng Thierry-Mieg, Danielle Thierry-Mieg, Jean Mattes, William Ning, Baitang Shi, Tieliu Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data |
title | Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data |
title_full | Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data |
title_fullStr | Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data |
title_full_unstemmed | Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data |
title_short | Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data |
title_sort | comprehensive identification and characterization of human secretome based on integrative proteomic and transcriptomic data |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6881247/ https://www.ncbi.nlm.nih.gov/pubmed/31824949 http://dx.doi.org/10.3389/fcell.2019.00299 |
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