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Volatile biomarkers from human melanoma cells
•VOC profiles of melanoma and normal melanocytes cultured in vitro were examined.•SPME, GC/MS and single-stranded DNA-coated nanotube sensors were employed.•Uniquely different VOC profiles emanate from melanoma cells and normal melanocytes.•Qualitative and quantitative differences were found in diff...
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Published in: | Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Analytical technologies in the biomedical and life sciences, 2013-07, Vol.931, p.90-96 |
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creator | Kwak, Jae Gallagher, Michelle Ozdener, Mehmet Hakan Wysocki, Charles J. Goldsmith, Brett R. Isamah, Amaka Faranda, Adam Fakharzadeh, Steven S. Herlyn, Meenhard Johnson, A.T. Charlie Preti, George |
description | •VOC profiles of melanoma and normal melanocytes cultured in vitro were examined.•SPME, GC/MS and single-stranded DNA-coated nanotube sensors were employed.•Uniquely different VOC profiles emanate from melanoma cells and normal melanocytes.•Qualitative and quantitative differences were found in different cells.•Monitoring of melanoma VOCs has potential as a useful screening methodology.
Dogs can identify, by olfaction, melanoma on the skin of patients or melanoma samples hidden on healthy subjects, suggesting that volatile organic compounds (VOCs) from melanoma differ from those of normal skin. Studies employing gas chromatography–mass spectrometry (GC–MS) and gas sensors reported that melanoma-related VOCs differed from VOCs from normal skin sources. However, the identities of the VOCs that discriminate melanoma from normal skin were either unknown or likely derived from exogenous sources. We employed solid-phase micro-extraction, GC–MS and single-stranded DNA-coated nanotube (DNACNT) sensors to examine VOCs from melanoma and normal melanocytes. GC–MS revealed dozens of VOCs, but further analyses focused on compounds most likely of endogenous origin. Several compounds differed between cancer and normal cells, e.g., isoamyl alcohol was higher in melanoma cells than in normal melanocytes but isovaleric acid was lower in melanoma cells. These two compounds share the same precursor, viz., leucine. Melanoma cells produce dimethyldi- and trisulfide, compounds not detected in VOCs from normal melanocytes. Furthermore, analyses of the total volatile metabolome from both melanoma cells and normal melanocytes by DNACNT sensors, coupled with the GC–MS results, demonstrate clear differences between these cell systems. Consequently, monitoring of melanoma VOCs has potential as a useful screening methodology. |
doi_str_mv | 10.1016/j.jchromb.2013.05.007 |
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Dogs can identify, by olfaction, melanoma on the skin of patients or melanoma samples hidden on healthy subjects, suggesting that volatile organic compounds (VOCs) from melanoma differ from those of normal skin. Studies employing gas chromatography–mass spectrometry (GC–MS) and gas sensors reported that melanoma-related VOCs differed from VOCs from normal skin sources. However, the identities of the VOCs that discriminate melanoma from normal skin were either unknown or likely derived from exogenous sources. We employed solid-phase micro-extraction, GC–MS and single-stranded DNA-coated nanotube (DNACNT) sensors to examine VOCs from melanoma and normal melanocytes. GC–MS revealed dozens of VOCs, but further analyses focused on compounds most likely of endogenous origin. Several compounds differed between cancer and normal cells, e.g., isoamyl alcohol was higher in melanoma cells than in normal melanocytes but isovaleric acid was lower in melanoma cells. These two compounds share the same precursor, viz., leucine. Melanoma cells produce dimethyldi- and trisulfide, compounds not detected in VOCs from normal melanocytes. Furthermore, analyses of the total volatile metabolome from both melanoma cells and normal melanocytes by DNACNT sensors, coupled with the GC–MS results, demonstrate clear differences between these cell systems. Consequently, monitoring of melanoma VOCs has potential as a useful screening methodology.</description><identifier>ISSN: 1570-0232</identifier><identifier>EISSN: 1873-376X</identifier><identifier>DOI: 10.1016/j.jchromb.2013.05.007</identifier><identifier>PMID: 23770738</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Alcohols ; biomarkers ; Biomarkers, Tumor - analysis ; Biomarkers, Tumor - metabolism ; Cancer ; Carbon nanotubes ; Cell Line ; Cell Line, Tumor ; Dogs ; exogenous sources ; Gas Chromatography-Mass Spectrometry - methods ; Gas chromatography–mass spectrometry ; Humans ; Hydrogen-Ion Concentration ; isoamyl alcohol ; Leucine ; melanocytes ; Melanocytes - chemistry ; Melanocytes - cytology ; Melanocytes - metabolism ; Melanoma ; Melanoma - chemistry ; Melanoma - metabolism ; Melanoma - pathology ; metabolome ; microextraction ; monitoring ; Nanostructure ; nanotubes ; Nanotubes, Carbon - chemistry ; Patients ; Reproducibility of Results ; screening ; Sensors ; Skin Neoplasms - chemistry ; Skin Neoplasms - metabolism ; Skin Neoplasms - pathology ; smell ; Volatile metabolome ; Volatile organic compounds ; Volatile Organic Compounds - analysis ; Volatile Organic Compounds - metabolism</subject><ispartof>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2013-07, Vol.931, p.90-96</ispartof><rights>2013 Elsevier B.V.</rights><rights>Copyright © 2013 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-f8c4af5423aad6f527d7c1d2602a23a26c6f151bf6220893d80443b9e4c474e43</citedby><cites>FETCH-LOGICAL-c422t-f8c4af5423aad6f527d7c1d2602a23a26c6f151bf6220893d80443b9e4c474e43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23770738$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kwak, Jae</creatorcontrib><creatorcontrib>Gallagher, Michelle</creatorcontrib><creatorcontrib>Ozdener, Mehmet Hakan</creatorcontrib><creatorcontrib>Wysocki, Charles J.</creatorcontrib><creatorcontrib>Goldsmith, Brett R.</creatorcontrib><creatorcontrib>Isamah, Amaka</creatorcontrib><creatorcontrib>Faranda, Adam</creatorcontrib><creatorcontrib>Fakharzadeh, Steven S.</creatorcontrib><creatorcontrib>Herlyn, Meenhard</creatorcontrib><creatorcontrib>Johnson, A.T. Charlie</creatorcontrib><creatorcontrib>Preti, George</creatorcontrib><title>Volatile biomarkers from human melanoma cells</title><title>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences</title><addtitle>J Chromatogr B Analyt Technol Biomed Life Sci</addtitle><description>•VOC profiles of melanoma and normal melanocytes cultured in vitro were examined.•SPME, GC/MS and single-stranded DNA-coated nanotube sensors were employed.•Uniquely different VOC profiles emanate from melanoma cells and normal melanocytes.•Qualitative and quantitative differences were found in different cells.•Monitoring of melanoma VOCs has potential as a useful screening methodology.
Dogs can identify, by olfaction, melanoma on the skin of patients or melanoma samples hidden on healthy subjects, suggesting that volatile organic compounds (VOCs) from melanoma differ from those of normal skin. Studies employing gas chromatography–mass spectrometry (GC–MS) and gas sensors reported that melanoma-related VOCs differed from VOCs from normal skin sources. However, the identities of the VOCs that discriminate melanoma from normal skin were either unknown or likely derived from exogenous sources. We employed solid-phase micro-extraction, GC–MS and single-stranded DNA-coated nanotube (DNACNT) sensors to examine VOCs from melanoma and normal melanocytes. GC–MS revealed dozens of VOCs, but further analyses focused on compounds most likely of endogenous origin. Several compounds differed between cancer and normal cells, e.g., isoamyl alcohol was higher in melanoma cells than in normal melanocytes but isovaleric acid was lower in melanoma cells. These two compounds share the same precursor, viz., leucine. Melanoma cells produce dimethyldi- and trisulfide, compounds not detected in VOCs from normal melanocytes. Furthermore, analyses of the total volatile metabolome from both melanoma cells and normal melanocytes by DNACNT sensors, coupled with the GC–MS results, demonstrate clear differences between these cell systems. Consequently, monitoring of melanoma VOCs has potential as a useful screening methodology.</description><subject>Alcohols</subject><subject>biomarkers</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Cancer</subject><subject>Carbon nanotubes</subject><subject>Cell Line</subject><subject>Cell Line, Tumor</subject><subject>Dogs</subject><subject>exogenous sources</subject><subject>Gas Chromatography-Mass Spectrometry - methods</subject><subject>Gas chromatography–mass spectrometry</subject><subject>Humans</subject><subject>Hydrogen-Ion Concentration</subject><subject>isoamyl alcohol</subject><subject>Leucine</subject><subject>melanocytes</subject><subject>Melanocytes - chemistry</subject><subject>Melanocytes - cytology</subject><subject>Melanocytes - metabolism</subject><subject>Melanoma</subject><subject>Melanoma - chemistry</subject><subject>Melanoma - metabolism</subject><subject>Melanoma - pathology</subject><subject>metabolome</subject><subject>microextraction</subject><subject>monitoring</subject><subject>Nanostructure</subject><subject>nanotubes</subject><subject>Nanotubes, Carbon - chemistry</subject><subject>Patients</subject><subject>Reproducibility of Results</subject><subject>screening</subject><subject>Sensors</subject><subject>Skin Neoplasms - chemistry</subject><subject>Skin Neoplasms - metabolism</subject><subject>Skin Neoplasms - pathology</subject><subject>smell</subject><subject>Volatile metabolome</subject><subject>Volatile organic compounds</subject><subject>Volatile Organic Compounds - analysis</subject><subject>Volatile Organic Compounds - metabolism</subject><issn>1570-0232</issn><issn>1873-376X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNqFkMtOwzAURC0EoqXwCUCWbBKuH7HTFUIVL6kSCyhiZzmOTV3yKHaLxN_jkMKWla_sM3PHg9AphgwD5perbKWXvmvKjACmGeQZgNhDY1wImlLBX_fjnAtIgVAyQkchrACwAEEP0YhQ0U_FGKUvXa02rjZJ6bpG-XfjQ2Kjb7LcNqpNGlOrNj4k2tR1OEYHVtXBnOzOCVrc3jzP7tP5493D7HqeakbIJrWFZsrmjFClKm5zIiqhcUU4EBXvCNfc4hyXlhMCxZRWBTBGy6lhmglmGJ2gi8F37buPrQkb2bjQJ1Ct6bZBRjFlQmCG_0fplBaRLno0H1DtuxC8sXLtXfzzl8Qg-1LlSu5KlX2pEnIZS426s92KbdmY6k_122IEzgfAqk6qN--CXDxFBw4AXEx_Ul4NhImtfTrjZdDOtNpUzhu9kVXn_gnxDYihkfA</recordid><startdate>20130715</startdate><enddate>20130715</enddate><creator>Kwak, Jae</creator><creator>Gallagher, Michelle</creator><creator>Ozdener, Mehmet Hakan</creator><creator>Wysocki, Charles J.</creator><creator>Goldsmith, Brett R.</creator><creator>Isamah, Amaka</creator><creator>Faranda, Adam</creator><creator>Fakharzadeh, Steven S.</creator><creator>Herlyn, Meenhard</creator><creator>Johnson, A.T. Charlie</creator><creator>Preti, George</creator><general>Elsevier B.V</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope></search><sort><creationdate>20130715</creationdate><title>Volatile biomarkers from human melanoma cells</title><author>Kwak, Jae ; Gallagher, Michelle ; Ozdener, Mehmet Hakan ; Wysocki, Charles J. ; Goldsmith, Brett R. ; Isamah, Amaka ; Faranda, Adam ; Fakharzadeh, Steven S. ; Herlyn, Meenhard ; Johnson, A.T. Charlie ; Preti, George</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-f8c4af5423aad6f527d7c1d2602a23a26c6f151bf6220893d80443b9e4c474e43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Alcohols</topic><topic>biomarkers</topic><topic>Biomarkers, Tumor - analysis</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Cancer</topic><topic>Carbon nanotubes</topic><topic>Cell Line</topic><topic>Cell Line, Tumor</topic><topic>Dogs</topic><topic>exogenous sources</topic><topic>Gas Chromatography-Mass Spectrometry - methods</topic><topic>Gas chromatography–mass spectrometry</topic><topic>Humans</topic><topic>Hydrogen-Ion Concentration</topic><topic>isoamyl alcohol</topic><topic>Leucine</topic><topic>melanocytes</topic><topic>Melanocytes - chemistry</topic><topic>Melanocytes - cytology</topic><topic>Melanocytes - metabolism</topic><topic>Melanoma</topic><topic>Melanoma - chemistry</topic><topic>Melanoma - metabolism</topic><topic>Melanoma - pathology</topic><topic>metabolome</topic><topic>microextraction</topic><topic>monitoring</topic><topic>Nanostructure</topic><topic>nanotubes</topic><topic>Nanotubes, Carbon - chemistry</topic><topic>Patients</topic><topic>Reproducibility of Results</topic><topic>screening</topic><topic>Sensors</topic><topic>Skin Neoplasms - chemistry</topic><topic>Skin Neoplasms - metabolism</topic><topic>Skin Neoplasms - pathology</topic><topic>smell</topic><topic>Volatile metabolome</topic><topic>Volatile organic compounds</topic><topic>Volatile Organic Compounds - analysis</topic><topic>Volatile Organic Compounds - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kwak, Jae</creatorcontrib><creatorcontrib>Gallagher, Michelle</creatorcontrib><creatorcontrib>Ozdener, Mehmet Hakan</creatorcontrib><creatorcontrib>Wysocki, Charles J.</creatorcontrib><creatorcontrib>Goldsmith, Brett R.</creatorcontrib><creatorcontrib>Isamah, Amaka</creatorcontrib><creatorcontrib>Faranda, Adam</creatorcontrib><creatorcontrib>Fakharzadeh, Steven S.</creatorcontrib><creatorcontrib>Herlyn, Meenhard</creatorcontrib><creatorcontrib>Johnson, A.T. 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B, Analytical technologies in the biomedical and life sciences</jtitle><addtitle>J Chromatogr B Analyt Technol Biomed Life Sci</addtitle><date>2013-07-15</date><risdate>2013</risdate><volume>931</volume><spage>90</spage><epage>96</epage><pages>90-96</pages><issn>1570-0232</issn><eissn>1873-376X</eissn><abstract>•VOC profiles of melanoma and normal melanocytes cultured in vitro were examined.•SPME, GC/MS and single-stranded DNA-coated nanotube sensors were employed.•Uniquely different VOC profiles emanate from melanoma cells and normal melanocytes.•Qualitative and quantitative differences were found in different cells.•Monitoring of melanoma VOCs has potential as a useful screening methodology.
Dogs can identify, by olfaction, melanoma on the skin of patients or melanoma samples hidden on healthy subjects, suggesting that volatile organic compounds (VOCs) from melanoma differ from those of normal skin. Studies employing gas chromatography–mass spectrometry (GC–MS) and gas sensors reported that melanoma-related VOCs differed from VOCs from normal skin sources. However, the identities of the VOCs that discriminate melanoma from normal skin were either unknown or likely derived from exogenous sources. We employed solid-phase micro-extraction, GC–MS and single-stranded DNA-coated nanotube (DNACNT) sensors to examine VOCs from melanoma and normal melanocytes. GC–MS revealed dozens of VOCs, but further analyses focused on compounds most likely of endogenous origin. Several compounds differed between cancer and normal cells, e.g., isoamyl alcohol was higher in melanoma cells than in normal melanocytes but isovaleric acid was lower in melanoma cells. These two compounds share the same precursor, viz., leucine. Melanoma cells produce dimethyldi- and trisulfide, compounds not detected in VOCs from normal melanocytes. Furthermore, analyses of the total volatile metabolome from both melanoma cells and normal melanocytes by DNACNT sensors, coupled with the GC–MS results, demonstrate clear differences between these cell systems. Consequently, monitoring of melanoma VOCs has potential as a useful screening methodology.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>23770738</pmid><doi>10.1016/j.jchromb.2013.05.007</doi><tpages>7</tpages></addata></record> |
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subjects | Alcohols biomarkers Biomarkers, Tumor - analysis Biomarkers, Tumor - metabolism Cancer Carbon nanotubes Cell Line Cell Line, Tumor Dogs exogenous sources Gas Chromatography-Mass Spectrometry - methods Gas chromatography–mass spectrometry Humans Hydrogen-Ion Concentration isoamyl alcohol Leucine melanocytes Melanocytes - chemistry Melanocytes - cytology Melanocytes - metabolism Melanoma Melanoma - chemistry Melanoma - metabolism Melanoma - pathology metabolome microextraction monitoring Nanostructure nanotubes Nanotubes, Carbon - chemistry Patients Reproducibility of Results screening Sensors Skin Neoplasms - chemistry Skin Neoplasms - metabolism Skin Neoplasms - pathology smell Volatile metabolome Volatile organic compounds Volatile Organic Compounds - analysis Volatile Organic Compounds - metabolism |
title | Volatile biomarkers from human melanoma cells |
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