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Spatial Multiomics of Lipids, N-Glycans, and Tryptic Peptides on a Single FFPE Tissue Section
[Image: see text] Mass spectrometry imaging (MSI) is an emerging technology that is capable of mapping various biomolecules within their native spatial context, and performing spatial multiomics on formalin-fixed paraffin-embedded (FFPE) tissues may further increase the molecular characterization of...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639202/ https://www.ncbi.nlm.nih.gov/pubmed/36259755 http://dx.doi.org/10.1021/acs.jproteome.2c00601 |
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author | Denti, Vanna Capitoli, Giulia Piga, Isabella Clerici, Francesca Pagani, Lisa Criscuolo, Lucrezia Bindi, Greta Principi, Lucrezia Chinello, Clizia Paglia, Giuseppe Magni, Fulvio Smith, Andrew |
author_facet | Denti, Vanna Capitoli, Giulia Piga, Isabella Clerici, Francesca Pagani, Lisa Criscuolo, Lucrezia Bindi, Greta Principi, Lucrezia Chinello, Clizia Paglia, Giuseppe Magni, Fulvio Smith, Andrew |
author_sort | Denti, Vanna |
collection | PubMed |
description | [Image: see text] Mass spectrometry imaging (MSI) is an emerging technology that is capable of mapping various biomolecules within their native spatial context, and performing spatial multiomics on formalin-fixed paraffin-embedded (FFPE) tissues may further increase the molecular characterization of pathological states. Here we present a novel workflow which enables the sequential MSI of lipids, N-glycans, and tryptic peptides on a single FFPE tissue section and highlight the enhanced molecular characterization that is offered by combining the multiple spatial omics data sets. In murine brain and clear cell renal cell carcinoma (ccRCC) tissue, the three molecular levels provided complementary information and characterized different histological regions. Moreover, when the spatial omics data was integrated, the different histopathological regions of the ccRCC tissue could be better discriminated with respect to the imaging data set of any single omics class. Taken together, these promising findings demonstrate the capability to more comprehensively map the molecular complexity within pathological tissue. |
format | Online Article Text |
id | pubmed-9639202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-96392022022-11-08 Spatial Multiomics of Lipids, N-Glycans, and Tryptic Peptides on a Single FFPE Tissue Section Denti, Vanna Capitoli, Giulia Piga, Isabella Clerici, Francesca Pagani, Lisa Criscuolo, Lucrezia Bindi, Greta Principi, Lucrezia Chinello, Clizia Paglia, Giuseppe Magni, Fulvio Smith, Andrew J Proteome Res [Image: see text] Mass spectrometry imaging (MSI) is an emerging technology that is capable of mapping various biomolecules within their native spatial context, and performing spatial multiomics on formalin-fixed paraffin-embedded (FFPE) tissues may further increase the molecular characterization of pathological states. Here we present a novel workflow which enables the sequential MSI of lipids, N-glycans, and tryptic peptides on a single FFPE tissue section and highlight the enhanced molecular characterization that is offered by combining the multiple spatial omics data sets. In murine brain and clear cell renal cell carcinoma (ccRCC) tissue, the three molecular levels provided complementary information and characterized different histological regions. Moreover, when the spatial omics data was integrated, the different histopathological regions of the ccRCC tissue could be better discriminated with respect to the imaging data set of any single omics class. Taken together, these promising findings demonstrate the capability to more comprehensively map the molecular complexity within pathological tissue. American Chemical Society 2022-10-19 2022-11-04 /pmc/articles/PMC9639202/ /pubmed/36259755 http://dx.doi.org/10.1021/acs.jproteome.2c00601 Text en © 2022 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 | Denti, Vanna Capitoli, Giulia Piga, Isabella Clerici, Francesca Pagani, Lisa Criscuolo, Lucrezia Bindi, Greta Principi, Lucrezia Chinello, Clizia Paglia, Giuseppe Magni, Fulvio Smith, Andrew Spatial Multiomics of Lipids, N-Glycans, and Tryptic Peptides on a Single FFPE Tissue Section |
title | Spatial Multiomics
of Lipids, N-Glycans, and
Tryptic Peptides on a Single FFPE Tissue Section |
title_full | Spatial Multiomics
of Lipids, N-Glycans, and
Tryptic Peptides on a Single FFPE Tissue Section |
title_fullStr | Spatial Multiomics
of Lipids, N-Glycans, and
Tryptic Peptides on a Single FFPE Tissue Section |
title_full_unstemmed | Spatial Multiomics
of Lipids, N-Glycans, and
Tryptic Peptides on a Single FFPE Tissue Section |
title_short | Spatial Multiomics
of Lipids, N-Glycans, and
Tryptic Peptides on a Single FFPE Tissue Section |
title_sort | spatial multiomics
of lipids, n-glycans, and
tryptic peptides on a single ffpe tissue section |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9639202/ https://www.ncbi.nlm.nih.gov/pubmed/36259755 http://dx.doi.org/10.1021/acs.jproteome.2c00601 |
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