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Multiparametric Tissue Characterization Utilizing the Cellular Metallome and Immuno-Mass Spectrometry Imaging
[Image: see text] In this study, we present a workflow that enables spatial single-cell metallomics in tissue decoding the cellular heterogeneity. Low-dispersion laser ablation in combination with inductively coupled plasma time-of-flight mass spectrometry (LA-ICP-TOFMS) provides mapping of endogeno...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975846/ https://www.ncbi.nlm.nih.gov/pubmed/36873697 http://dx.doi.org/10.1021/jacsau.2c00571 |
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author | Schaier, Martin Theiner, Sarah Baier, Dina Braun, Gabriel Berger, Walter Koellensperger, Gunda |
author_facet | Schaier, Martin Theiner, Sarah Baier, Dina Braun, Gabriel Berger, Walter Koellensperger, Gunda |
author_sort | Schaier, Martin |
collection | PubMed |
description | [Image: see text] In this study, we present a workflow that enables spatial single-cell metallomics in tissue decoding the cellular heterogeneity. Low-dispersion laser ablation in combination with inductively coupled plasma time-of-flight mass spectrometry (LA-ICP-TOFMS) provides mapping of endogenous elements with cellular resolution at unprecedented speed. Capturing the heterogeneity of the cellular population by metals only is of limited use as the cell type, functionality, and cell state remain elusive. Therefore, we expanded the toolbox of single-cell metallomics by integrating the concepts of imaging mass cytometry (IMC). This multiparametric assay successfully utilizes metal-labeled antibodies for cellular tissue profiling. One important challenge is the need to preserve the original metallome in the sample upon immunostaining. Therefore, we studied the impact of extensive labeling on the obtained endogenous cellular ionome data by quantifying elemental levels in consecutive tissue sections (with and without immunostaining) and correlating elements with structural markers and histological features. Our experiments showed that the elemental tissue distribution remained intact for selected elements such as sodium, phosphorus, and iron, while absolute quantification was precluded. We hypothesize that this integrated assay not only advances single-cell metallomics (enabling to link metal accumulation to multi-dimensional characterization of cells/cell populations), but in turn also enhances selectivity in IMC, as in selected cases, labeling strategies can be validated by elemental data. We showcase the power of this integrated single-cell toolbox using an in vivo tumor model in mice and provide mapping of the sodium and iron homeostasis as linked to different cell types and function in mouse organs (such as spleen, kidney, and liver). Phosphorus distribution maps added structural information, paralleled by the DNA intercalator visualizing the cellular nuclei. Overall, iron imaging was the most relevant addition to IMC. In tumor samples, for example, iron-rich regions correlated with high proliferation and/or located blood vessels, which are key for potential drug delivery. |
format | Online Article Text |
id | pubmed-9975846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99758462023-03-02 Multiparametric Tissue Characterization Utilizing the Cellular Metallome and Immuno-Mass Spectrometry Imaging Schaier, Martin Theiner, Sarah Baier, Dina Braun, Gabriel Berger, Walter Koellensperger, Gunda JACS Au [Image: see text] In this study, we present a workflow that enables spatial single-cell metallomics in tissue decoding the cellular heterogeneity. Low-dispersion laser ablation in combination with inductively coupled plasma time-of-flight mass spectrometry (LA-ICP-TOFMS) provides mapping of endogenous elements with cellular resolution at unprecedented speed. Capturing the heterogeneity of the cellular population by metals only is of limited use as the cell type, functionality, and cell state remain elusive. Therefore, we expanded the toolbox of single-cell metallomics by integrating the concepts of imaging mass cytometry (IMC). This multiparametric assay successfully utilizes metal-labeled antibodies for cellular tissue profiling. One important challenge is the need to preserve the original metallome in the sample upon immunostaining. Therefore, we studied the impact of extensive labeling on the obtained endogenous cellular ionome data by quantifying elemental levels in consecutive tissue sections (with and without immunostaining) and correlating elements with structural markers and histological features. Our experiments showed that the elemental tissue distribution remained intact for selected elements such as sodium, phosphorus, and iron, while absolute quantification was precluded. We hypothesize that this integrated assay not only advances single-cell metallomics (enabling to link metal accumulation to multi-dimensional characterization of cells/cell populations), but in turn also enhances selectivity in IMC, as in selected cases, labeling strategies can be validated by elemental data. We showcase the power of this integrated single-cell toolbox using an in vivo tumor model in mice and provide mapping of the sodium and iron homeostasis as linked to different cell types and function in mouse organs (such as spleen, kidney, and liver). Phosphorus distribution maps added structural information, paralleled by the DNA intercalator visualizing the cellular nuclei. Overall, iron imaging was the most relevant addition to IMC. In tumor samples, for example, iron-rich regions correlated with high proliferation and/or located blood vessels, which are key for potential drug delivery. American Chemical Society 2023-02-08 /pmc/articles/PMC9975846/ /pubmed/36873697 http://dx.doi.org/10.1021/jacsau.2c00571 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Schaier, Martin Theiner, Sarah Baier, Dina Braun, Gabriel Berger, Walter Koellensperger, Gunda Multiparametric Tissue Characterization Utilizing the Cellular Metallome and Immuno-Mass Spectrometry Imaging |
title | Multiparametric Tissue
Characterization Utilizing
the Cellular Metallome and Immuno-Mass Spectrometry Imaging |
title_full | Multiparametric Tissue
Characterization Utilizing
the Cellular Metallome and Immuno-Mass Spectrometry Imaging |
title_fullStr | Multiparametric Tissue
Characterization Utilizing
the Cellular Metallome and Immuno-Mass Spectrometry Imaging |
title_full_unstemmed | Multiparametric Tissue
Characterization Utilizing
the Cellular Metallome and Immuno-Mass Spectrometry Imaging |
title_short | Multiparametric Tissue
Characterization Utilizing
the Cellular Metallome and Immuno-Mass Spectrometry Imaging |
title_sort | multiparametric tissue
characterization utilizing
the cellular metallome and immuno-mass spectrometry imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975846/ https://www.ncbi.nlm.nih.gov/pubmed/36873697 http://dx.doi.org/10.1021/jacsau.2c00571 |
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