An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines
Introduction It is widely but erroneously believed that drugs get into cells by passing through the phospholipid bilayer portion of the plasma and other membranes. Much evidence shows, however, that this is not the case, and that drugs cross biomembranes by hitchhiking on transporters for other natu...
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creator | Wright Muelas, Marina Roberts, Ivayla Mughal, Farah O’Hagan, Steve Day, Philip J. Kell, Douglas B. |
description | Introduction
It is widely but erroneously believed that drugs get into cells by passing through the phospholipid bilayer portion of the plasma and other membranes. Much evidence shows, however, that this is not the case, and that drugs cross biomembranes by hitchhiking on transporters for other natural molecules to which these drugs are structurally similar. Untargeted metabolomics can provide a method for determining the differential uptake of such metabolites.
Objectives
Blood serum contains many thousands of molecules and provides a convenient source of biologically relevant metabolites. Our objective was to detect and identify metabolites present in serum, but to also establish a method capable of measure their uptake and secretion by different cell lines.
Methods
We develop an untargeted LC-MS/MS method to detect a broad range of compounds present in human serum. We apply this to the analysis of the time course of the uptake and secretion of metabolites in serum by several human cell lines, by analysing changes in the serum that represents the extracellular phase (the ‘exometabolome’ or metabolic footprint).
Results
Our method measures some 4000–5000 metabolic features in both positive and negative electrospray ionisation modes. We show that the metabolic footprints of different cell lines differ greatly from each other.
Conclusion
Our new, 15-min untargeted metabolome method allows for the robust and convenient measurement of differences in the uptake of serum compounds by cell lines following incubation in serum. This will enable future research to study these differences in multiple cell lines that will relate this to transporter expression, thereby advancing our knowledge of transporter substrates, both natural and xenobiotic compounds. |
doi_str_mv | 10.1007/s11306-020-01725-8 |
format | Article |
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It is widely but erroneously believed that drugs get into cells by passing through the phospholipid bilayer portion of the plasma and other membranes. Much evidence shows, however, that this is not the case, and that drugs cross biomembranes by hitchhiking on transporters for other natural molecules to which these drugs are structurally similar. Untargeted metabolomics can provide a method for determining the differential uptake of such metabolites.
Objectives
Blood serum contains many thousands of molecules and provides a convenient source of biologically relevant metabolites. Our objective was to detect and identify metabolites present in serum, but to also establish a method capable of measure their uptake and secretion by different cell lines.
Methods
We develop an untargeted LC-MS/MS method to detect a broad range of compounds present in human serum. We apply this to the analysis of the time course of the uptake and secretion of metabolites in serum by several human cell lines, by analysing changes in the serum that represents the extracellular phase (the ‘exometabolome’ or metabolic footprint).
Results
Our method measures some 4000–5000 metabolic features in both positive and negative electrospray ionisation modes. We show that the metabolic footprints of different cell lines differ greatly from each other.
Conclusion
Our new, 15-min untargeted metabolome method allows for the robust and convenient measurement of differences in the uptake of serum compounds by cell lines following incubation in serum. This will enable future research to study these differences in multiple cell lines that will relate this to transporter expression, thereby advancing our knowledge of transporter substrates, both natural and xenobiotic compounds.</description><identifier>ISSN: 1573-3882</identifier><identifier>EISSN: 1573-3890</identifier><identifier>DOI: 10.1007/s11306-020-01725-8</identifier><identifier>PMID: 33026554</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Animals ; Biochemistry ; Biomedical and Life Sciences ; Biomedicine ; Cell Biology ; Cell Line - metabolism ; Cell Line, Tumor - metabolism ; Cell Membrane - metabolism ; Chromatography, Liquid - methods ; Developmental Biology ; Drug Carriers - metabolism ; Drug Delivery Systems - methods ; Humans ; Life Sciences ; Mammals - metabolism ; Membrane Proteins - metabolism ; Metabolome ; Metabolomics - methods ; Molecular Medicine ; Original ; Original Article ; Phospholipids - metabolism ; Plasma - chemistry ; Tandem Mass Spectrometry - methods</subject><ispartof>Metabolomics, 2020-10, Vol.16 (10), p.107-107, Article 107</ispartof><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c512t-70a22ff2e01a6523e2b6fabb29fbf6cc76e50712d1b8a7d34d0bfbf2fd7c63053</citedby><cites>FETCH-LOGICAL-c512t-70a22ff2e01a6523e2b6fabb29fbf6cc76e50712d1b8a7d34d0bfbf2fd7c63053</cites><orcidid>0000-0002-4775-4358</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11306-020-01725-8$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11306-020-01725-8$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33026554$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wright Muelas, Marina</creatorcontrib><creatorcontrib>Roberts, Ivayla</creatorcontrib><creatorcontrib>Mughal, Farah</creatorcontrib><creatorcontrib>O’Hagan, Steve</creatorcontrib><creatorcontrib>Day, Philip J.</creatorcontrib><creatorcontrib>Kell, Douglas B.</creatorcontrib><title>An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines</title><title>Metabolomics</title><addtitle>Metabolomics</addtitle><addtitle>Metabolomics</addtitle><description>Introduction
It is widely but erroneously believed that drugs get into cells by passing through the phospholipid bilayer portion of the plasma and other membranes. Much evidence shows, however, that this is not the case, and that drugs cross biomembranes by hitchhiking on transporters for other natural molecules to which these drugs are structurally similar. Untargeted metabolomics can provide a method for determining the differential uptake of such metabolites.
Objectives
Blood serum contains many thousands of molecules and provides a convenient source of biologically relevant metabolites. Our objective was to detect and identify metabolites present in serum, but to also establish a method capable of measure their uptake and secretion by different cell lines.
Methods
We develop an untargeted LC-MS/MS method to detect a broad range of compounds present in human serum. We apply this to the analysis of the time course of the uptake and secretion of metabolites in serum by several human cell lines, by analysing changes in the serum that represents the extracellular phase (the ‘exometabolome’ or metabolic footprint).
Results
Our method measures some 4000–5000 metabolic features in both positive and negative electrospray ionisation modes. We show that the metabolic footprints of different cell lines differ greatly from each other.
Conclusion
Our new, 15-min untargeted metabolome method allows for the robust and convenient measurement of differences in the uptake of serum compounds by cell lines following incubation in serum. This will enable future research to study these differences in multiple cell lines that will relate this to transporter expression, thereby advancing our knowledge of transporter substrates, both natural and xenobiotic compounds.</description><subject>Animals</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Cell Biology</subject><subject>Cell Line - metabolism</subject><subject>Cell Line, Tumor - metabolism</subject><subject>Cell Membrane - metabolism</subject><subject>Chromatography, Liquid - methods</subject><subject>Developmental Biology</subject><subject>Drug Carriers - metabolism</subject><subject>Drug Delivery Systems - methods</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Mammals - metabolism</subject><subject>Membrane Proteins - metabolism</subject><subject>Metabolome</subject><subject>Metabolomics - methods</subject><subject>Molecular Medicine</subject><subject>Original</subject><subject>Original Article</subject><subject>Phospholipids - metabolism</subject><subject>Plasma - chemistry</subject><subject>Tandem Mass Spectrometry - methods</subject><issn>1573-3882</issn><issn>1573-3890</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9kU-PFCEQxYnRuOvqF_BgOHrptYCm6bmYbDbrn2QTL3omQBcjazeMQJudby_j7E704qlI3q9eUfUIec3gkgGod4UxAUMHHDpgistufELOmVSiE-MGnp7eIz8jL0q5A-j7jYLn5EwI4IOU_TlZryJdYzV5ixUnumA1Ns1pCa7QUrOpuN3TmppgypqRTsF7zBgdFhriIx8q0nVXzQ-kJk4U713GGlKkdk8XsyxmDiZSh_NM5xCxvCTPvJkLvnqoF-Tbh5uv15-62y8fP19f3XZOMl47BYZz7zkCM4PkArkdvLGWb7z1g3NqQAmK8YnZ0ahJ9BPYpnA_KTcIkOKCvD_67la74OQwtpVmvcthMXmvkwn6XyWG73qbfmkleyZG1QzePhjk9HPFUvUSymEPEzGtRfN2UTbCyA8oP6Iup1Iy-tMYBvqQlz7mpVte-k9eemxNb_7-4KnlMaAGiCNQmhS3mPVdWnNsR_uf7W9NnaUJ</recordid><startdate>20201007</startdate><enddate>20201007</enddate><creator>Wright Muelas, Marina</creator><creator>Roberts, Ivayla</creator><creator>Mughal, Farah</creator><creator>O’Hagan, Steve</creator><creator>Day, Philip J.</creator><creator>Kell, Douglas B.</creator><general>Springer US</general><scope>C6C</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>5PM</scope><orcidid>https://orcid.org/0000-0002-4775-4358</orcidid></search><sort><creationdate>20201007</creationdate><title>An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines</title><author>Wright Muelas, Marina ; Roberts, Ivayla ; Mughal, Farah ; O’Hagan, Steve ; Day, Philip J. ; Kell, Douglas B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c512t-70a22ff2e01a6523e2b6fabb29fbf6cc76e50712d1b8a7d34d0bfbf2fd7c63053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Animals</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Cell Biology</topic><topic>Cell Line - metabolism</topic><topic>Cell Line, Tumor - metabolism</topic><topic>Cell Membrane - metabolism</topic><topic>Chromatography, Liquid - methods</topic><topic>Developmental Biology</topic><topic>Drug Carriers - metabolism</topic><topic>Drug Delivery Systems - methods</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Mammals - metabolism</topic><topic>Membrane Proteins - metabolism</topic><topic>Metabolome</topic><topic>Metabolomics - methods</topic><topic>Molecular Medicine</topic><topic>Original</topic><topic>Original Article</topic><topic>Phospholipids - metabolism</topic><topic>Plasma - chemistry</topic><topic>Tandem Mass Spectrometry - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wright Muelas, Marina</creatorcontrib><creatorcontrib>Roberts, Ivayla</creatorcontrib><creatorcontrib>Mughal, Farah</creatorcontrib><creatorcontrib>O’Hagan, Steve</creatorcontrib><creatorcontrib>Day, Philip J.</creatorcontrib><creatorcontrib>Kell, Douglas B.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Metabolomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wright Muelas, Marina</au><au>Roberts, Ivayla</au><au>Mughal, Farah</au><au>O’Hagan, Steve</au><au>Day, Philip J.</au><au>Kell, Douglas B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines</atitle><jtitle>Metabolomics</jtitle><stitle>Metabolomics</stitle><addtitle>Metabolomics</addtitle><date>2020-10-07</date><risdate>2020</risdate><volume>16</volume><issue>10</issue><spage>107</spage><epage>107</epage><pages>107-107</pages><artnum>107</artnum><issn>1573-3882</issn><eissn>1573-3890</eissn><abstract>Introduction
It is widely but erroneously believed that drugs get into cells by passing through the phospholipid bilayer portion of the plasma and other membranes. Much evidence shows, however, that this is not the case, and that drugs cross biomembranes by hitchhiking on transporters for other natural molecules to which these drugs are structurally similar. Untargeted metabolomics can provide a method for determining the differential uptake of such metabolites.
Objectives
Blood serum contains many thousands of molecules and provides a convenient source of biologically relevant metabolites. Our objective was to detect and identify metabolites present in serum, but to also establish a method capable of measure their uptake and secretion by different cell lines.
Methods
We develop an untargeted LC-MS/MS method to detect a broad range of compounds present in human serum. We apply this to the analysis of the time course of the uptake and secretion of metabolites in serum by several human cell lines, by analysing changes in the serum that represents the extracellular phase (the ‘exometabolome’ or metabolic footprint).
Results
Our method measures some 4000–5000 metabolic features in both positive and negative electrospray ionisation modes. We show that the metabolic footprints of different cell lines differ greatly from each other.
Conclusion
Our new, 15-min untargeted metabolome method allows for the robust and convenient measurement of differences in the uptake of serum compounds by cell lines following incubation in serum. This will enable future research to study these differences in multiple cell lines that will relate this to transporter expression, thereby advancing our knowledge of transporter substrates, both natural and xenobiotic compounds.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>33026554</pmid><doi>10.1007/s11306-020-01725-8</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-4775-4358</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals Biochemistry Biomedical and Life Sciences Biomedicine Cell Biology Cell Line - metabolism Cell Line, Tumor - metabolism Cell Membrane - metabolism Chromatography, Liquid - methods Developmental Biology Drug Carriers - metabolism Drug Delivery Systems - methods Humans Life Sciences Mammals - metabolism Membrane Proteins - metabolism Metabolome Metabolomics - methods Molecular Medicine Original Original Article Phospholipids - metabolism Plasma - chemistry Tandem Mass Spectrometry - methods |
title | An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines |
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