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Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy
Metabolic profiling of cancer cells can play a vital role in revealing the molecular bases of cancer development and progression. In this study, gas chromatography coupled with mass spectrometry (GC-MS) was employed for the determination of signatures found in ER+/PR+ breast cancer cells derived fro...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739366/ https://www.ncbi.nlm.nih.gov/pubmed/31511569 http://dx.doi.org/10.1038/s41598-019-49509-y |
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author | Semreen, Mohammad H. Alniss, Hasan Y. Grgic, Stefan R. El-Awady, Raafat A. Almehdi, Ahmed H. Mousa, Muath K. Hamoudi, Rifat A. |
author_facet | Semreen, Mohammad H. Alniss, Hasan Y. Grgic, Stefan R. El-Awady, Raafat A. Almehdi, Ahmed H. Mousa, Muath K. Hamoudi, Rifat A. |
author_sort | Semreen, Mohammad H. |
collection | PubMed |
description | Metabolic profiling of cancer cells can play a vital role in revealing the molecular bases of cancer development and progression. In this study, gas chromatography coupled with mass spectrometry (GC-MS) was employed for the determination of signatures found in ER+/PR+ breast cancer cells derived from MCF-7 using different extraction solvents including: A, formic acid in water; B, ammonium hydroxide in water; C, ethyl acetate; D, methanol: water (1:1, v/v); and E, acetonitrile: water (1:1, v/v). The greatest extraction rate and diversity of metabolites occurs with extraction solvents A and E. Extraction solvent D showed moderate extraction efficiency, whereas extraction solvent B and C showed inferior metabolite diversity. Metabolite set enrichment analysis (MSEA) results showed energy production pathways to be key in MCF-7 cell lines. This study showed that mass spectrometry could identify key metabolites associated with cancers. The highest enriched pathways were related to energy production as well as Warburg effect pathways, which may shed light on how energy metabolism has been hijacked to encourage tumour progression and eventually metastasis in breast cancer. |
format | Online Article Text |
id | pubmed-6739366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67393662019-09-22 Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy Semreen, Mohammad H. Alniss, Hasan Y. Grgic, Stefan R. El-Awady, Raafat A. Almehdi, Ahmed H. Mousa, Muath K. Hamoudi, Rifat A. Sci Rep Article Metabolic profiling of cancer cells can play a vital role in revealing the molecular bases of cancer development and progression. In this study, gas chromatography coupled with mass spectrometry (GC-MS) was employed for the determination of signatures found in ER+/PR+ breast cancer cells derived from MCF-7 using different extraction solvents including: A, formic acid in water; B, ammonium hydroxide in water; C, ethyl acetate; D, methanol: water (1:1, v/v); and E, acetonitrile: water (1:1, v/v). The greatest extraction rate and diversity of metabolites occurs with extraction solvents A and E. Extraction solvent D showed moderate extraction efficiency, whereas extraction solvent B and C showed inferior metabolite diversity. Metabolite set enrichment analysis (MSEA) results showed energy production pathways to be key in MCF-7 cell lines. This study showed that mass spectrometry could identify key metabolites associated with cancers. The highest enriched pathways were related to energy production as well as Warburg effect pathways, which may shed light on how energy metabolism has been hijacked to encourage tumour progression and eventually metastasis in breast cancer. Nature Publishing Group UK 2019-09-11 /pmc/articles/PMC6739366/ /pubmed/31511569 http://dx.doi.org/10.1038/s41598-019-49509-y Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Semreen, Mohammad H. Alniss, Hasan Y. Grgic, Stefan R. El-Awady, Raafat A. Almehdi, Ahmed H. Mousa, Muath K. Hamoudi, Rifat A. Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy |
title | Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy |
title_full | Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy |
title_fullStr | Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy |
title_full_unstemmed | Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy |
title_short | Comparative metabolomics of MCF-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy |
title_sort | comparative metabolomics of mcf-7 breast cancer cells using different extraction solvents assessed by mass spectroscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6739366/ https://www.ncbi.nlm.nih.gov/pubmed/31511569 http://dx.doi.org/10.1038/s41598-019-49509-y |
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