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Methods for analyzing tellurium imaging mass cytometry data

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...

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Detalles Bibliográficos
Autores principales: Bassan, Jay, Nitz, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719864/
https://www.ncbi.nlm.nih.gov/pubmed/31479470
http://dx.doi.org/10.1371/journal.pone.0221714
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author Bassan, Jay
Nitz, Mark
author_facet Bassan, Jay
Nitz, Mark
author_sort Bassan, Jay
collection PubMed
description 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.
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spelling pubmed-67198642019-09-16 Methods for analyzing tellurium imaging mass cytometry data Bassan, Jay Nitz, Mark PLoS One Research Article 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. Public Library of Science 2019-09-03 /pmc/articles/PMC6719864/ /pubmed/31479470 http://dx.doi.org/10.1371/journal.pone.0221714 Text en © 2019 Bassan, Nitz http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bassan, Jay
Nitz, Mark
Methods for analyzing tellurium imaging mass cytometry data
title Methods for analyzing tellurium imaging mass cytometry data
title_full Methods for analyzing tellurium imaging mass cytometry data
title_fullStr Methods for analyzing tellurium imaging mass cytometry data
title_full_unstemmed Methods for analyzing tellurium imaging mass cytometry data
title_short Methods for analyzing tellurium imaging mass cytometry data
title_sort methods for analyzing tellurium imaging mass cytometry data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719864/
https://www.ncbi.nlm.nih.gov/pubmed/31479470
http://dx.doi.org/10.1371/journal.pone.0221714
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