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Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS
As metabolic rewiring is crucial for cancer cell proliferation, metabolic phenotyping of patient-derived organoids is desirable to identify drug-induced changes and trace metabolic vulnerabilities of tumor subtypes. We established a novel protocol for metabolomic and lipidomic profiling of colorecta...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760698/ https://www.ncbi.nlm.nih.gov/pubmed/33271860 http://dx.doi.org/10.3390/metabo10120494 |
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author | Neef, Sylvia K. Janssen, Nicole Winter, Stefan Wallisch, Svenja K. Hofmann, Ute Dahlke, Marc H. Schwab, Matthias Mürdter, Thomas E. Haag, Mathias |
author_facet | Neef, Sylvia K. Janssen, Nicole Winter, Stefan Wallisch, Svenja K. Hofmann, Ute Dahlke, Marc H. Schwab, Matthias Mürdter, Thomas E. Haag, Mathias |
author_sort | Neef, Sylvia K. |
collection | PubMed |
description | As metabolic rewiring is crucial for cancer cell proliferation, metabolic phenotyping of patient-derived organoids is desirable to identify drug-induced changes and trace metabolic vulnerabilities of tumor subtypes. We established a novel protocol for metabolomic and lipidomic profiling of colorectal cancer organoids by liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) facing the challenge of capturing metabolic information from a minimal sample amount (<500 cells/injection) in the presence of an extracellular matrix (ECM). The best procedure of the tested protocols included ultrasonic metabolite extraction with acetonitrile/methanol/water (2:2:1, v/v/v) without ECM removal. To eliminate ECM-derived background signals, we implemented a data filtering procedure based on the p-value and fold change cut-offs, which retained features with signal intensities >120% compared to matrix-derived signals present in blank samples. As a proof-of-concept, the method was applied to examine the early metabolic response of colorectal cancer organoids to 5-fluorouracil treatment. Statistical analysis revealed dose-dependent changes in the metabolic profiles of treated organoids including elevated levels of 2′-deoxyuridine, 2′-O-methylcytidine, inosine and 1-methyladenosine and depletion of 2′-deoxyadenosine and specific phospholipids. In accordance with the mechanism of action of 5-fluorouracil, changed metabolites are mainly involved in purine and pyrimidine metabolism. The novel protocol provides a first basis for the assessment of metabolic drug response phenotypes in 3D organoid models. |
format | Online Article Text |
id | pubmed-7760698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77606982020-12-26 Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS Neef, Sylvia K. Janssen, Nicole Winter, Stefan Wallisch, Svenja K. Hofmann, Ute Dahlke, Marc H. Schwab, Matthias Mürdter, Thomas E. Haag, Mathias Metabolites Article As metabolic rewiring is crucial for cancer cell proliferation, metabolic phenotyping of patient-derived organoids is desirable to identify drug-induced changes and trace metabolic vulnerabilities of tumor subtypes. We established a novel protocol for metabolomic and lipidomic profiling of colorectal cancer organoids by liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) facing the challenge of capturing metabolic information from a minimal sample amount (<500 cells/injection) in the presence of an extracellular matrix (ECM). The best procedure of the tested protocols included ultrasonic metabolite extraction with acetonitrile/methanol/water (2:2:1, v/v/v) without ECM removal. To eliminate ECM-derived background signals, we implemented a data filtering procedure based on the p-value and fold change cut-offs, which retained features with signal intensities >120% compared to matrix-derived signals present in blank samples. As a proof-of-concept, the method was applied to examine the early metabolic response of colorectal cancer organoids to 5-fluorouracil treatment. Statistical analysis revealed dose-dependent changes in the metabolic profiles of treated organoids including elevated levels of 2′-deoxyuridine, 2′-O-methylcytidine, inosine and 1-methyladenosine and depletion of 2′-deoxyadenosine and specific phospholipids. In accordance with the mechanism of action of 5-fluorouracil, changed metabolites are mainly involved in purine and pyrimidine metabolism. The novel protocol provides a first basis for the assessment of metabolic drug response phenotypes in 3D organoid models. MDPI 2020-12-01 /pmc/articles/PMC7760698/ /pubmed/33271860 http://dx.doi.org/10.3390/metabo10120494 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Neef, Sylvia K. Janssen, Nicole Winter, Stefan Wallisch, Svenja K. Hofmann, Ute Dahlke, Marc H. Schwab, Matthias Mürdter, Thomas E. Haag, Mathias Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS |
title | Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS |
title_full | Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS |
title_fullStr | Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS |
title_full_unstemmed | Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS |
title_short | Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS |
title_sort | metabolic drug response phenotyping in colorectal cancer organoids by lc-qtof-ms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760698/ https://www.ncbi.nlm.nih.gov/pubmed/33271860 http://dx.doi.org/10.3390/metabo10120494 |
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