De novo discovery of metabolic heterogeneity with immunophenotype-guided imaging mass spectrometry.

ABSTRACT:

Background

Imaging mass spectrometry enables in situ label-free detection of thousands of metabolites from intact tissue samples. However, automated steps for multi-omics analyses and interpretation of histological images have not yet been implemented in mass spectrometry data analysis workflows. The characterization of molecular properties within cellular and histological features is done via time-consuming, non-objective, and irreproducible definitions of regions of interest, which are often accompanied by a loss of spatial resolution due to mass spectra averaging.

Methods

We developed a new imaging pipeline called Spatial Correlation Image Analysis (SPACiAL), which is a computational multimodal workflow designed to combine molecular imaging data with multiplex immunohisto

SUBMITTER: Prade VM 

PROVIDER: S-EPMC7149754 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature