Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Geng, Chen, Jiwei, Liu, Huanlong, Chen, Shuangguan, Zhang, Yang, Li, Peng, Thierry-Mieg, Danielle, Thierry-Mieg, Jean, Mattes, William, Ning, Baitang, Shi, Tieliu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
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
_version_ 1783473903875653632
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
work_keys_str_mv AT chengeng comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT chenjiwei comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT liuhuanlong comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT chenshuangguan comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT zhangyang comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT lipeng comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT thierrymiegdanielle comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT thierrymiegjean comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT matteswilliam comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT ningbaitang comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata
AT shitieliu comprehensiveidentificationandcharacterizationofhumansecretomebasedonintegrativeproteomicandtranscriptomicdata