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Imaging Mass Spectrometry Reveals Tumor Metabolic Heterogeneity
Malignant tumors exhibit high degrees of genomic heterogeneity at the cellular level, leading to the view that subpopulations of tumor cells drive growth and treatment resistance. To examine the degree to which tumors also exhibit metabolic heterogeneity at the level of individual cells, we employed...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7390776/ https://www.ncbi.nlm.nih.gov/pubmed/32712466 http://dx.doi.org/10.1016/j.isci.2020.101355 |
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author | Zhang, Yang Guillermier, Christelle De Raedt, Thomas Cox, Andrew G. Maertens, Ophelia Yimlamai, Dean Lun, Mingyue Whitney, Adam Maas, Richard L. Goessling, Wolfram Cichowski, Karen Steinhauser, Matthew L. |
author_facet | Zhang, Yang Guillermier, Christelle De Raedt, Thomas Cox, Andrew G. Maertens, Ophelia Yimlamai, Dean Lun, Mingyue Whitney, Adam Maas, Richard L. Goessling, Wolfram Cichowski, Karen Steinhauser, Matthew L. |
author_sort | Zhang, Yang |
collection | PubMed |
description | Malignant tumors exhibit high degrees of genomic heterogeneity at the cellular level, leading to the view that subpopulations of tumor cells drive growth and treatment resistance. To examine the degree to which tumors also exhibit metabolic heterogeneity at the level of individual cells, we employed multi-isotope imaging mass spectrometry (MIMS) to quantify utilization of stable isotopes of glucose and glutamine along with a label for cell division. Mouse models of melanoma and malignant peripheral nerve sheath tumors (MPNSTs) exhibited striking heterogeneity of substrate utilization, evident in both proliferating and non-proliferating cells. We identified a correlation between metabolic heterogeneity, proliferation, and therapeutic resistance. Heterogeneity in metabolic substrate usage as revealed by incorporation of glucose and glutamine tracers is thus a marker for tumor proliferation. Collectively, our data demonstrate that MIMS provides a powerful tool with which to dissect metabolic functions of individual cells within the native tumor environment. |
format | Online Article Text |
id | pubmed-7390776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73907762020-08-04 Imaging Mass Spectrometry Reveals Tumor Metabolic Heterogeneity Zhang, Yang Guillermier, Christelle De Raedt, Thomas Cox, Andrew G. Maertens, Ophelia Yimlamai, Dean Lun, Mingyue Whitney, Adam Maas, Richard L. Goessling, Wolfram Cichowski, Karen Steinhauser, Matthew L. iScience Article Malignant tumors exhibit high degrees of genomic heterogeneity at the cellular level, leading to the view that subpopulations of tumor cells drive growth and treatment resistance. To examine the degree to which tumors also exhibit metabolic heterogeneity at the level of individual cells, we employed multi-isotope imaging mass spectrometry (MIMS) to quantify utilization of stable isotopes of glucose and glutamine along with a label for cell division. Mouse models of melanoma and malignant peripheral nerve sheath tumors (MPNSTs) exhibited striking heterogeneity of substrate utilization, evident in both proliferating and non-proliferating cells. We identified a correlation between metabolic heterogeneity, proliferation, and therapeutic resistance. Heterogeneity in metabolic substrate usage as revealed by incorporation of glucose and glutamine tracers is thus a marker for tumor proliferation. Collectively, our data demonstrate that MIMS provides a powerful tool with which to dissect metabolic functions of individual cells within the native tumor environment. Elsevier 2020-07-10 /pmc/articles/PMC7390776/ /pubmed/32712466 http://dx.doi.org/10.1016/j.isci.2020.101355 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Yang Guillermier, Christelle De Raedt, Thomas Cox, Andrew G. Maertens, Ophelia Yimlamai, Dean Lun, Mingyue Whitney, Adam Maas, Richard L. Goessling, Wolfram Cichowski, Karen Steinhauser, Matthew L. Imaging Mass Spectrometry Reveals Tumor Metabolic Heterogeneity |
title | Imaging Mass Spectrometry Reveals Tumor Metabolic Heterogeneity |
title_full | Imaging Mass Spectrometry Reveals Tumor Metabolic Heterogeneity |
title_fullStr | Imaging Mass Spectrometry Reveals Tumor Metabolic Heterogeneity |
title_full_unstemmed | Imaging Mass Spectrometry Reveals Tumor Metabolic Heterogeneity |
title_short | Imaging Mass Spectrometry Reveals Tumor Metabolic Heterogeneity |
title_sort | imaging mass spectrometry reveals tumor metabolic heterogeneity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7390776/ https://www.ncbi.nlm.nih.gov/pubmed/32712466 http://dx.doi.org/10.1016/j.isci.2020.101355 |
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