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

共 50 条

[41] CancerEST: a web-based tool for automatic meta-analysis of public EST data
Feichtinger, Julia
McFarlane, Ramsay J.
Larcombe, Lee D.
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2014,
[42] Comparing the Overall Result and Interaction in Aggregate Data Meta-Analysis and Individual Patient Data Meta-Analysis
Huang, Yafang
Tang, Jinling
Tam, Wilson Wai-san
Mao, Chen
Yuan, Jinqiu
Di, Mengyang
Yang, Zuyao
MEDICINE, 2016, 95 (14)
[43] A Framework for Meta-Analysis of Cytometry Data
Jujjavarapu, Chethan
Hughey, Jacob
Gherardini, Federico
Bruggner, Robert
Nolan, Garry
Bhattacharya, Sanchita
Butte, Atul
JOURNAL OF IMMUNOLOGY, 2016, 196
[44] NETWORK META-ANALYSIS OF LONGITUDINAL DATA
Vieira, M. C.
Cope, S.
Jansen, J. P.
VALUE IN HEALTH, 2013, 16 (03) : A15 - A15
[45] Individual participant data in meta-analysis
Spineli, Loukia M.
Pandis, Nikolaos
AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2021, 159 (06) : 868 - 870
[46] Bayesian Meta-Analysis of Observational Data
McCandless, Lawrence C.
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2011, 20 : S355 - S355
[47] Missing outcome data in meta-analysis
Mavridis, Dimitris
Chaimani, Anna
Efthimiou, Orestis
Salanti, Georgia
EVIDENCE-BASED MENTAL HEALTH, 2018, 21 (03) : 123 - 123
[48] Meta-analysis in the era of big data
Silva-Fernandez, Lucia
Carmona, Loreto
CLINICAL RHEUMATOLOGY, 2019, 38 (08) : 2027 - 2028
[49] Meta-analysis of Functional Neuroimaging Data
Chawla, Manisha
Miyapuram, Krishna P.
2013 IEEE SECOND INTERNATIONAL CONFERENCE ON IMAGE INFORMATION PROCESSING (ICIIP), 2013, : 256 - 260
[50] Reductionism and variability in data: A meta-analysis
Sapolsky, R
Balt, S
PERSPECTIVES IN BIOLOGY AND MEDICINE, 1996, 39 (02) : 193 - 203

← 1 2 3 4 5 →