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Successive High-Resolution (H(2)O)(n)-GCIB and C(60)-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue

[Image: see text] The temporo-spatial organization of different cells in the tumor microenvironment (TME) is the key to understanding their complex communication networks and the immune landscape that exists within compromised tissues. Multi-omics profiling of single-interacting cells in the native...

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Autores principales: Tian, Hua, Sparvero, Louis J., Anthonymuthu, Tamil Selvan, Sun, Wan-Yang, Amoscato, Andrew A., He, Rong-Rong, Bayır, Hülya, Kagan, Valerian E., Winograd, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209780/
https://www.ncbi.nlm.nih.gov/pubmed/34075742
http://dx.doi.org/10.1021/acs.analchem.0c05311
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author Tian, Hua
Sparvero, Louis J.
Anthonymuthu, Tamil Selvan
Sun, Wan-Yang
Amoscato, Andrew A.
He, Rong-Rong
Bayır, Hülya
Kagan, Valerian E.
Winograd, Nicholas
author_facet Tian, Hua
Sparvero, Louis J.
Anthonymuthu, Tamil Selvan
Sun, Wan-Yang
Amoscato, Andrew A.
He, Rong-Rong
Bayır, Hülya
Kagan, Valerian E.
Winograd, Nicholas
author_sort Tian, Hua
collection PubMed
description [Image: see text] The temporo-spatial organization of different cells in the tumor microenvironment (TME) is the key to understanding their complex communication networks and the immune landscape that exists within compromised tissues. Multi-omics profiling of single-interacting cells in the native TME is critical for providing further information regarding the reprograming mechanisms leading to immunosuppression and tumor progression. This requires new technologies for biomolecular profiling of phenotypically heterogeneous cells on the same tissue sample. Here, we developed a new methodology for comprehensive lipidomic and metabolomic profiling of individual cells on frozen-hydrated tissue sections using water gas cluster ion beam secondary ion mass spectrometry ((H(2)O)(n)-GCIB-SIMS) (at 1.6 μm beam spot size), followed by profiling cell-type specific lanthanide antibodies on the same tissue section using C(60)-SIMS (at 1.1 μm beam spot size). We revealed distinct variations of distribution and intensities of >150 key ions (e.g., lipids and important metabolites) in different types of the TME individual cells, such as actively proliferating tumor cells as well as infiltrating immune cells. The demonstrated feasibility of SIMS imaging to integrate the multi-omics profiling in the same tissue section at the single-cell level will lead to new insights into the role of lipid reprogramming and metabolic response in normal regulation or pathogenic discoordination of cell–cell interactions in a variety of tissue microenvironments.
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spelling pubmed-82097802021-06-21 Successive High-Resolution (H(2)O)(n)-GCIB and C(60)-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue Tian, Hua Sparvero, Louis J. Anthonymuthu, Tamil Selvan Sun, Wan-Yang Amoscato, Andrew A. He, Rong-Rong Bayır, Hülya Kagan, Valerian E. Winograd, Nicholas Anal Chem [Image: see text] The temporo-spatial organization of different cells in the tumor microenvironment (TME) is the key to understanding their complex communication networks and the immune landscape that exists within compromised tissues. Multi-omics profiling of single-interacting cells in the native TME is critical for providing further information regarding the reprograming mechanisms leading to immunosuppression and tumor progression. This requires new technologies for biomolecular profiling of phenotypically heterogeneous cells on the same tissue sample. Here, we developed a new methodology for comprehensive lipidomic and metabolomic profiling of individual cells on frozen-hydrated tissue sections using water gas cluster ion beam secondary ion mass spectrometry ((H(2)O)(n)-GCIB-SIMS) (at 1.6 μm beam spot size), followed by profiling cell-type specific lanthanide antibodies on the same tissue section using C(60)-SIMS (at 1.1 μm beam spot size). We revealed distinct variations of distribution and intensities of >150 key ions (e.g., lipids and important metabolites) in different types of the TME individual cells, such as actively proliferating tumor cells as well as infiltrating immune cells. The demonstrated feasibility of SIMS imaging to integrate the multi-omics profiling in the same tissue section at the single-cell level will lead to new insights into the role of lipid reprogramming and metabolic response in normal regulation or pathogenic discoordination of cell–cell interactions in a variety of tissue microenvironments. American Chemical Society 2021-06-02 2021-06-15 /pmc/articles/PMC8209780/ /pubmed/34075742 http://dx.doi.org/10.1021/acs.analchem.0c05311 Text en © 2021 The Authors. Published by American Chemical Society Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Tian, Hua
Sparvero, Louis J.
Anthonymuthu, Tamil Selvan
Sun, Wan-Yang
Amoscato, Andrew A.
He, Rong-Rong
Bayır, Hülya
Kagan, Valerian E.
Winograd, Nicholas
Successive High-Resolution (H(2)O)(n)-GCIB and C(60)-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue
title Successive High-Resolution (H(2)O)(n)-GCIB and C(60)-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue
title_full Successive High-Resolution (H(2)O)(n)-GCIB and C(60)-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue
title_fullStr Successive High-Resolution (H(2)O)(n)-GCIB and C(60)-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue
title_full_unstemmed Successive High-Resolution (H(2)O)(n)-GCIB and C(60)-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue
title_short Successive High-Resolution (H(2)O)(n)-GCIB and C(60)-SIMS Imaging Integrates Multi-Omics in Different Cell Types in Breast Cancer Tissue
title_sort successive high-resolution (h(2)o)(n)-gcib and c(60)-sims imaging integrates multi-omics in different cell types in breast cancer tissue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209780/
https://www.ncbi.nlm.nih.gov/pubmed/34075742
http://dx.doi.org/10.1021/acs.analchem.0c05311
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