MetaMass, a tool for meta-analysis of subcellular proteomics data

被引：24

作者：

Lund-Johansen, Fridtjof ^{[1
,2
]}

Carrillo, Daniel de la Rosa ^{[1
,3
]}

Mehta, Adi ^{[1
,4
]}

Sikorski, Krzysztof ^{[1
,2
]}

Inngjerdingen, Marit ^{[1
]}

Kalina, Tomas ^{[5
,6
]}

Roysland, Kjetil ^{[7
]}

de Souza, Gustavo Antonio ^{[1
]}

Bradbury, Andrew R. M. ^{[8
]}

Lecrevisse, Quentin ^{[9
,10
,11
,12
]}

Stuchly, Jan ^{[5
,6
]}

机构：

[1] Oslo Univ Hosp, Dept Immunol, Oslo, Norway

[2] Univ Oslo, KG Jebsen Ctr Canc Immunotherapy, Oslo, Norway

[3] Oslo Univ Hosp, Dept Dermatol, Oslo, Norway

[4] Univ Oslo, KG Jebsen Inflammat Res Ctr, Oslo, Norway

[5] Charles Univ Prague, Fac Med 2, Dept Pediat Hematol & Oncol, Childhood Leukemia Invest Prague CLIP, Prague, Czech Republic

[6] Univ Hosp Motol, Prague, Czech Republic

[7] Univ Oslo, Inst Basic Med Sci, Dept Biostat, Fac Med, Oslo, Norway

[8] Los Alamos Natl Lab, Div B, Los Alamos, NM USA

[9] Univ Salamanca, Canc Res Ctr IBMCC, CSIC USAL, Salamanca, Spain

[10] Univ Salamanca, Inst Biomed Res Salamanca IBSAL, Salamanca, Spain

[11] Univ Salamanca, NUCLEUS, Salamanca, Spain

[12] Univ Salamanca, Dept Med, Salamanca, Spain

来源：

NATURE METHODS | 2016年 / 13卷 / 10期

关键词：

NUCLEOCYTOPLASMIC TRAFFICKING; REVEALS; CELLS;

D O I：

10.1038/nmeth.3967

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We report a tool for the analysis of subcellular proteomics data, called MetaMass, based on the use of standardized lists of subcellular markers. We analyzed data from 11 studies using MetaMass, mapping the subcellular location of 5,970 proteins. Our analysis revealed large variations in the performance of subcellular fractionation protocols as well as systematic biases in protein annotation databases. The Excel and R versions of MetaMass should enhance transparency and reproducibility in subcellular proteomics.

引用

页码：837 / +

页数：6

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