Unipept 4.0: Functional Analysis of Metaproteome Data

被引：98

作者：

Gurdeep Singh, Robbert ^{[1
]}

Tanca, Alessandro ^{[2
]}

Palomba, Antonio ^{[2
]}

Van der Jeugt, Felix ^{[1
]}

Verschaffelt, Pieter ^{[1
]}

Uzzau, Sergio ^{[2
]}

Martens, Lennart ^{[3
,4
]}

Dawyndt, Peter ^{[1
]}

Mesuere, Bart ^{[1
,3
,4
]}

机构：

[1] Univ Ghent, Dept Appl Math Comp Sci & Stat, B-9000 Ghent, Belgium

[2] Porto Conte Ric Sci & Technol Pk Sardinia, I-07041 Tramariglio, Alghero, Italy

[3] VIB, Ctr Med Biotechnol, VIB UGent Ctr Med Biotechnol, B-9000 Ghent, Belgium

[4] Univ Ghent, Dept Biochem, B-9000 Ghent, Belgium

来源：

JOURNAL OF PROTEOME RESEARCH | 2019年 / 18卷 / 02期

关键词：

Unipept; metaproteomics; functional analysis; biodiversity analysis; GO terms; EC numbers; data analysis; data visualization; GENE ONTOLOGY; MICROBIOTA; TOOL;

D O I：

10.1021/acs.jproteome.8b00716

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Unipept (https://unipept.ugent.be) is a web application for metaproteome data analysis, with an initial focus on tryptic-peptide-based biodiversity analysis of MS/MS samples. Because the true potential of metaproteomics lies in gaining insight into the expressed functions of complex environmental samples, the 4.0 release of Unipept introduces complementary functional analysis based on GO terms and EC numbers. Integration of this new functional analysis with the existing biodiversity analysis is an important asset of the extended pipeline. As a proof of concept, a human faecal metaproteome data set from 15 healthy subjects was reanalyzed with Unipept 4.0, yielding fast, detailed, and straightforward characterization of taxon-specific catalytic functions that is shown to be consistent with previous results from a BLAST-based functional analysis of the same data.

引用

页码：606 / 615

页数：10

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