posted on 2020-03-18, 20:16authored byArina Nikitina, Danning Huang, Li Li, Nicholas Peterman, Sarah E. Cleavenger, Facundo M. Fernández, Melissa L. Kemp
Multimodal
mass spectrometry imaging (MSI) data presents unique
big data challenges in handling and analysis. Here, we present a pipeline
for co-registering matrix-assisted laser desorption/ionization MSI
and confocal immunofluorescence imaging data for extracting single-cell
metabolite signatures. We further describe methods and introduce software
for the simultaneous analysis of these concatenated data sets, which
are designed to establish a connection between cell traits of interest
(shape metrics, position within sample) and the cells’ own
metabolic signatures.