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...

Full description

Bibliographic Details
Main Authors: Sorvina, A., Bader, C., Caporale, C., Carter, E., Johnson, I., Parkinson-Lawrence, E., Simpson, Peter, Wright, P., Stagni, S., Lay, P., Massi, Massimiliano, Brooks, D., Plush, S.
Format: Journal Article
Published: Impact Journals LLC 2018
Online Access:http://purl.org/au-research/grants/arc/FT130100033
http://hdl.handle.net/20.500.11937/73025
_version_ 1848762904077139968
author Sorvina, A.
Bader, C.
Caporale, C.
Carter, E.
Johnson, I.
Parkinson-Lawrence, E.
Simpson, Peter
Wright, P.
Stagni, S.
Lay, P.
Massi, Massimiliano
Brooks, D.
Plush, S.
author_facet Sorvina, A.
Bader, C.
Caporale, C.
Carter, E.
Johnson, I.
Parkinson-Lawrence, E.
Simpson, Peter
Wright, P.
Stagni, S.
Lay, P.
Massi, Massimiliano
Brooks, D.
Plush, S.
author_sort Sorvina, A.
building Curtin Institutional Repository
collection Online Access
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.
first_indexed 2025-11-14T10:54:58Z
format Journal Article
id curtin-20.500.11937-73025
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:54:58Z
publishDate 2018
publisher Impact Journals LLC
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-730252022-11-23T07:32:34Z Lipid profiles of prostate cancer cells Sorvina, A. Bader, C. Caporale, C. Carter, E. Johnson, I. Parkinson-Lawrence, E. Simpson, Peter Wright, P. Stagni, S. Lay, P. Massi, Massimiliano Brooks, D. Plush, S. 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. 2018 Journal Article http://hdl.handle.net/20.500.11937/73025 10.18632/oncotarget.26222 http://purl.org/au-research/grants/arc/FT130100033 http://creativecommons.org/licenses/by/3.0/ Impact Journals LLC fulltext
spellingShingle Sorvina, A.
Bader, C.
Caporale, C.
Carter, E.
Johnson, I.
Parkinson-Lawrence, E.
Simpson, Peter
Wright, P.
Stagni, S.
Lay, P.
Massi, Massimiliano
Brooks, D.
Plush, S.
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
url http://purl.org/au-research/grants/arc/FT130100033
http://hdl.handle.net/20.500.11937/73025