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Methods for analyzing tellurium imaging mass cytometry data.

TitleMethods for analyzing tellurium imaging mass cytometry data.
Publication TypeJournal Article
Year of Publication2019
AuthorsBassan, J, Nitz, M
JournalPLoS One
Volume14
Issue9
Paginatione0221714
Date Published2019
ISSN1932-6203
KeywordsAnimals, Humans, Image Cytometry, Image Processing, Computer-Assisted, Isotopes, Jejunum, Mice, Molecular Probe Techniques, Molecular Probes, Signal-To-Noise Ratio, Subtraction Technique, Tellurium, Xenon
Abstract

Imaging mass cytometry (IMC) is a technique allowing visualization and quantification of over 40 biological parameters in a single experiment with subcellular spatial resolution, however most IMC experiments are limited to endpoint analysis with antibodies and DNA stains. Small molecules containing tellurium are promising probes for IMC due to their cell permeability, synthetic versatility, and most importantly their application to sequential labelling with isotopologous probes (SLIP) experiments. SLIP experiments with tellurium-containing probes allow quantification of intracellular biology at multiple timepoints with IMC. Despite the promise of tellurium in IMC, there are unique challenges in image processing associated with tellurium IMC data. Here, we address some of these issues by demonstrating the removal of xenon background signal, combining channels to improve signal-to-noise ratio, and calculating isotope transmission efficiency biases. These developments add accuracy to the unique temporal resolution afforded by tellurium IMC probes.

DOI10.1371/journal.pone.0221714
Alternate JournalPLoS One
PubMed ID31479470
PubMed Central IDPMC6719864