Dataset Information

Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data.

ABSTRACT: 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.

SUBMITTER: Chen G

PROVIDER: S-EPMC6881247 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data.

Chen Geng G Chen Jiwei J Liu Huanlong H Chen Shuangguan S Zhang Yang Y Li Peng P Thierry-Mieg Danielle D Thierry-Mieg Jean J Mattes William W Ning Baitang B Shi Tieliu T

Frontiers in cell and developmental biology 20191121

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 bro ...[more]

PMID: 31824949

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Dataset Information

Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data.

Publications

Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data.

Similar Datasets

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