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

Fridtjof Lund-JohansenDaniel de la Rosa CarrilloAdi MehtaKrzysztof SikorskiMarit InngjerdingenTomáš KalinaKjetil RøyslandGustavo Antonio de SouzaAndrew R M BradburyQuentin LecrevisseJan Stuchly

Published in: Nature methods (2016)

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.

Keyphrases

mass spectrometry
big data
electronic health record
label free
high resolution
data analysis
protein protein
small molecule