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Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging
Single-cell (SC) analysis provides unique insight into individual cell dynamics and cell-to-cell heterogeneity. Here, we utilize trapped ion mobility separation coupled with dual-polarity ionization mass spectrometry imaging (MSI) to enable high-throughput in situ profiling of the SC lipidome. Multi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457347/ https://www.ncbi.nlm.nih.gov/pubmed/37626051 http://dx.doi.org/10.1038/s41467-023-40512-6 |
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author | Zhang, Hua Liu, Yuan Fields, Lauren Shi, Xudong Huang, Penghsuan Lu, Haiyan Schneider, Andrew J. Tang, Xindi Puglielli, Luigi Welham, Nathan V. Li, Lingjun |
author_facet | Zhang, Hua Liu, Yuan Fields, Lauren Shi, Xudong Huang, Penghsuan Lu, Haiyan Schneider, Andrew J. Tang, Xindi Puglielli, Luigi Welham, Nathan V. Li, Lingjun |
author_sort | Zhang, Hua |
collection | PubMed |
description | Single-cell (SC) analysis provides unique insight into individual cell dynamics and cell-to-cell heterogeneity. Here, we utilize trapped ion mobility separation coupled with dual-polarity ionization mass spectrometry imaging (MSI) to enable high-throughput in situ profiling of the SC lipidome. Multimodal SC imaging, in which dual-polarity-mode MSI is used to perform serial data acquisition runs on individual cells, significantly enhanced SC lipidome coverage. High-spatial resolution SC-MSI identifies both inter- and intracellular lipid heterogeneity; this heterogeneity is further explicated by Uniform Manifold Approximation and Projection and machine learning-driven classifications. We characterize SC lipidome alteration in response to stearoyl-CoA desaturase 1 inhibition and, additionally, identify cell-layer specific lipid distribution patterns in mouse cerebellar cortex. This integrated multimodal SC-MSI technology enables high-resolution spatial mapping of intercellular and cell-to-cell lipidome heterogeneity, SC lipidome remodeling induced by pharmacological intervention, and region-specific lipid diversity within tissue. |
format | Online Article Text |
id | pubmed-10457347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104573472023-08-27 Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging Zhang, Hua Liu, Yuan Fields, Lauren Shi, Xudong Huang, Penghsuan Lu, Haiyan Schneider, Andrew J. Tang, Xindi Puglielli, Luigi Welham, Nathan V. Li, Lingjun Nat Commun Article Single-cell (SC) analysis provides unique insight into individual cell dynamics and cell-to-cell heterogeneity. Here, we utilize trapped ion mobility separation coupled with dual-polarity ionization mass spectrometry imaging (MSI) to enable high-throughput in situ profiling of the SC lipidome. Multimodal SC imaging, in which dual-polarity-mode MSI is used to perform serial data acquisition runs on individual cells, significantly enhanced SC lipidome coverage. High-spatial resolution SC-MSI identifies both inter- and intracellular lipid heterogeneity; this heterogeneity is further explicated by Uniform Manifold Approximation and Projection and machine learning-driven classifications. We characterize SC lipidome alteration in response to stearoyl-CoA desaturase 1 inhibition and, additionally, identify cell-layer specific lipid distribution patterns in mouse cerebellar cortex. This integrated multimodal SC-MSI technology enables high-resolution spatial mapping of intercellular and cell-to-cell lipidome heterogeneity, SC lipidome remodeling induced by pharmacological intervention, and region-specific lipid diversity within tissue. Nature Publishing Group UK 2023-08-25 /pmc/articles/PMC10457347/ /pubmed/37626051 http://dx.doi.org/10.1038/s41467-023-40512-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Hua Liu, Yuan Fields, Lauren Shi, Xudong Huang, Penghsuan Lu, Haiyan Schneider, Andrew J. Tang, Xindi Puglielli, Luigi Welham, Nathan V. Li, Lingjun Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging |
title | Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging |
title_full | Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging |
title_fullStr | Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging |
title_full_unstemmed | Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging |
title_short | Single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging |
title_sort | single-cell lipidomics enabled by dual-polarity ionization and ion mobility-mass spectrometry imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10457347/ https://www.ncbi.nlm.nih.gov/pubmed/37626051 http://dx.doi.org/10.1038/s41467-023-40512-6 |
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