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MetaMass, a tool for meta-analysis of subcellular proteomics data.
Lund-Johansen, Fridtjof; de la Rosa Carrillo, Daniel; Mehta, Adi; Sikorski, Krzysztof; Inngjerdingen, Marit; Kalina, Tomas; Røysland, Kjetil; de Souza, Gustavo Antonio; Bradbury, Andrew R M; Lecrevisse, Quentin; Stuchly, Jan.
Afiliação
  • Lund-Johansen F; Department of Immunology, Oslo University Hospital, Oslo, Norway.
  • de la Rosa Carrillo D; K.G. Jebsen Center for Cancer Immunotherapy, University of Oslo, Oslo, Norway.
  • Mehta A; Department of Immunology, Oslo University Hospital, Oslo, Norway.
  • Sikorski K; Department of Dermatology, Oslo University Hospital, Oslo, Norway.
  • Inngjerdingen M; Department of Immunology, Oslo University Hospital, Oslo, Norway.
  • Kalina T; K.G. Jebsen Inflammation Research Center, University of Oslo, Oslo, Norway.
  • Røysland K; Department of Immunology, Oslo University Hospital, Oslo, Norway.
  • de Souza GA; K.G. Jebsen Center for Cancer Immunotherapy, University of Oslo, Oslo, Norway.
  • Bradbury AR; Department of Immunology, Oslo University Hospital, Oslo, Norway.
  • Lecrevisse Q; Childhood Leukemia Investigation Prague (CLIP), Department of Pediatric Hematology and Oncology, 2nd Faculty of Medicine, Charles University Prague and University Hospital Motol, Prague, Czech Republic.
  • Stuchly J; Department of Biostatistics, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway.
Nat Methods ; 13(10): 837-40, 2016 10.
Article em En | MEDLINE | ID: mdl-27571551
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Frações Subcelulares / Proteínas / Metanálise como Assunto / Proteômica Tipo de estudo: Systematic_reviews Limite: Animals Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Frações Subcelulares / Proteínas / Metanálise como Assunto / Proteômica Tipo de estudo: Systematic_reviews Limite: Animals Idioma: En Ano de publicação: 2016 Tipo de documento: Article