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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6719864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bassanjay methodsforanalyzingtelluriumimagingmasscytometrydata AT nitzmark methodsforanalyzingtelluriumimagingmasscytometrydata |