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Lipid profiles of prostate cancer cells

Lipids are important cellular components which can be significantly altered in a range of disease states including prostate cancer. Here, a unique systematic approach has been used to define lipid profiles of prostate cancer cell lines, using quantitative mass spectrometry (LC-ESI-MS/MS), FTIR spect...

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Autores principales: Sorvina, Alexandra, Bader, Christie A., Caporale, Chiara, Carter, Elizabeth A., Johnson, Ian R.D., Parkinson-Lawrence, Emma J., Simpson, Peter V., Wright, Phillip J., Stagni, Stefano, Lay, Peter A., Massi, Massimiliano, Brooks, Douglas A., Plush, Sally E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238979/
https://www.ncbi.nlm.nih.gov/pubmed/30473749
http://dx.doi.org/10.18632/oncotarget.26222
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author Sorvina, Alexandra
Bader, Christie A.
Caporale, Chiara
Carter, Elizabeth A.
Johnson, Ian R.D.
Parkinson-Lawrence, Emma J.
Simpson, Peter V.
Wright, Phillip J.
Stagni, Stefano
Lay, Peter A.
Massi, Massimiliano
Brooks, Douglas A.
Plush, Sally E.
author_facet Sorvina, Alexandra
Bader, Christie A.
Caporale, Chiara
Carter, Elizabeth A.
Johnson, Ian R.D.
Parkinson-Lawrence, Emma J.
Simpson, Peter V.
Wright, Phillip J.
Stagni, Stefano
Lay, Peter A.
Massi, Massimiliano
Brooks, Douglas A.
Plush, Sally E.
author_sort Sorvina, Alexandra
collection PubMed
description Lipids are important cellular components which can be significantly altered in a range of disease states including prostate cancer. Here, a unique systematic approach has been used to define lipid profiles of prostate cancer cell lines, using quantitative mass spectrometry (LC-ESI-MS/MS), FTIR spectroscopy and fluorescent microscopy. All three approaches identified significant difference in the lipid profiles of the three prostate cancer cell lines (DU145, LNCaP and 22RV1) and one non-malignant cell line (PNT1a). Specific lipid classes and species, such as phospholipids (e.g., phosphatidylethanolamine 18:1/16:0 and 18:1/18:1) and cholesteryl esters, detected by LC-ESI-MS/MS, allowed statistical separation of all four prostate cell lines. Lipid mapping by FTIR revealed that variations in these lipid classes could also be detected at a single cell level, however further investigation into this approach would be needed to generate large enough data sets for quantitation. Visualisation by fluorescence microscopy showed striking variations that could be observed in lipid staining patterns between cell lines allowing visual separation of cell lines. In particular, polar lipid staining by a fluorescent marker was observed to increase significantly in prostate cancer lines cells, when compared to PNT1a cells, which was consistent with lipid quantitation by LC-ESI-MS/MS and FTIR spectroscopy. Thus, multiple technologies can be employed to either quantify or visualise changes in lipid composition, and moreover specific lipid profiles could be used to detect and phenotype prostate cancer cells.
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spelling pubmed-62389792018-11-23 Lipid profiles of prostate cancer cells Sorvina, Alexandra Bader, Christie A. Caporale, Chiara Carter, Elizabeth A. Johnson, Ian R.D. Parkinson-Lawrence, Emma J. Simpson, Peter V. Wright, Phillip J. Stagni, Stefano Lay, Peter A. Massi, Massimiliano Brooks, Douglas A. Plush, Sally E. Oncotarget Research Paper Lipids are important cellular components which can be significantly altered in a range of disease states including prostate cancer. Here, a unique systematic approach has been used to define lipid profiles of prostate cancer cell lines, using quantitative mass spectrometry (LC-ESI-MS/MS), FTIR spectroscopy and fluorescent microscopy. All three approaches identified significant difference in the lipid profiles of the three prostate cancer cell lines (DU145, LNCaP and 22RV1) and one non-malignant cell line (PNT1a). Specific lipid classes and species, such as phospholipids (e.g., phosphatidylethanolamine 18:1/16:0 and 18:1/18:1) and cholesteryl esters, detected by LC-ESI-MS/MS, allowed statistical separation of all four prostate cell lines. Lipid mapping by FTIR revealed that variations in these lipid classes could also be detected at a single cell level, however further investigation into this approach would be needed to generate large enough data sets for quantitation. Visualisation by fluorescence microscopy showed striking variations that could be observed in lipid staining patterns between cell lines allowing visual separation of cell lines. In particular, polar lipid staining by a fluorescent marker was observed to increase significantly in prostate cancer lines cells, when compared to PNT1a cells, which was consistent with lipid quantitation by LC-ESI-MS/MS and FTIR spectroscopy. Thus, multiple technologies can be employed to either quantify or visualise changes in lipid composition, and moreover specific lipid profiles could be used to detect and phenotype prostate cancer cells. Impact Journals LLC 2018-10-30 /pmc/articles/PMC6238979/ /pubmed/30473749 http://dx.doi.org/10.18632/oncotarget.26222 Text en Copyright: © 2018 Sorvina et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Sorvina, Alexandra
Bader, Christie A.
Caporale, Chiara
Carter, Elizabeth A.
Johnson, Ian R.D.
Parkinson-Lawrence, Emma J.
Simpson, Peter V.
Wright, Phillip J.
Stagni, Stefano
Lay, Peter A.
Massi, Massimiliano
Brooks, Douglas A.
Plush, Sally E.
Lipid profiles of prostate cancer cells
title Lipid profiles of prostate cancer cells
title_full Lipid profiles of prostate cancer cells
title_fullStr Lipid profiles of prostate cancer cells
title_full_unstemmed Lipid profiles of prostate cancer cells
title_short Lipid profiles of prostate cancer cells
title_sort lipid profiles of prostate cancer cells
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6238979/
https://www.ncbi.nlm.nih.gov/pubmed/30473749
http://dx.doi.org/10.18632/oncotarget.26222
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