Mammalian ovarian lipid distributions by desorption electrospray ionization–mass spectrometry (DESI-MS) imaging
Merging optical images of tissue sections with the spatial distributions of molecules seen by imaging mass spectrometry is a powerful approach to better understand the metabolic roles of the mapped molecules. Here, we use histologically friendly desorption electrospray ionization–mass spectrometry (...
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| Veröffentlicht in: | Analytical and bioanalytical chemistry 2020-02, Vol.412 (6), p.1251-1262 |
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| creator | Cordeiro, Fernanda Bertuccez Jarmusch, Alan K. León, Marisol Ferreira, Christina Ramires Pirro, Valentina Eberlin, Livia S. Hallett, Judy Miglino, Maria Angelica Cooks, Robert Graham |
| description | Merging optical images of tissue sections with the spatial distributions of molecules seen by imaging mass spectrometry is a powerful approach to better understand the metabolic roles of the mapped molecules. Here, we use histologically friendly desorption electrospray ionization–mass spectrometry (DESI-MS) to map the lipid distribution in tissue sections of ovaries from cows (
N
= 8), sows (
N
= 3), and mice (
N
= 12). Morphologically friendly DESI-MS imaging allows the same sections to be examined for morphological information. Independent of the species, ovarian follicles, corpora lutea, and stroma could be differentiated by principal component analysis, showing that lipid profiles are well conserved among species. As examples of specific findings, arachidonic acid and the phosphatidylinositol PI(38:4), were both found concentrated in the follicles and corpora lutea, structures that promoted ovulation and implantation, respectively. Adrenic acid was spatially located in the corpora lutea, suggesting the importance of this fatty acid in the ovary luteal phase. In summary, lipid information captured by DESI-MS imaging could be related to ovarian structures and data were all conserved among cows, sows, and mice. Further application of DESI-MS imaging to either physiological or pathophysiological models of reproductive conditions will likely expand knowledge of the roles of specific lipids and pathways in ovarian activity and mammalian fertility.
Graphical abstract
Desorption electrospray ionization–mass spectrometry (DESI-MS) is performed directly from frozen ovarian tissue sections placed onto glass slides. Because the desorption and ionization process of small molecules is so gentle, the tissue architecture is preserved. The sample can then be stained and tissue morphology information can be overlaid with the chemical information obtained by DESI-MS. |
| doi_str_mv | 10.1007/s00216-019-02352-6 |
| format | Article |
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N
= 8), sows (
N
= 3), and mice (
N
= 12). Morphologically friendly DESI-MS imaging allows the same sections to be examined for morphological information. Independent of the species, ovarian follicles, corpora lutea, and stroma could be differentiated by principal component analysis, showing that lipid profiles are well conserved among species. As examples of specific findings, arachidonic acid and the phosphatidylinositol PI(38:4), were both found concentrated in the follicles and corpora lutea, structures that promoted ovulation and implantation, respectively. Adrenic acid was spatially located in the corpora lutea, suggesting the importance of this fatty acid in the ovary luteal phase. In summary, lipid information captured by DESI-MS imaging could be related to ovarian structures and data were all conserved among cows, sows, and mice. Further application of DESI-MS imaging to either physiological or pathophysiological models of reproductive conditions will likely expand knowledge of the roles of specific lipids and pathways in ovarian activity and mammalian fertility.
Graphical abstract
Desorption electrospray ionization–mass spectrometry (DESI-MS) is performed directly from frozen ovarian tissue sections placed onto glass slides. Because the desorption and ionization process of small molecules is so gentle, the tissue architecture is preserved. The sample can then be stained and tissue morphology information can be overlaid with the chemical information obtained by DESI-MS.</description><identifier>ISSN: 1618-2642</identifier><identifier>EISSN: 1618-2650</identifier><identifier>DOI: 10.1007/s00216-019-02352-6</identifier><identifier>PMID: 31953714</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analytical Chemistry ; Animals ; Arachidonic acid ; Biochemistry ; Cattle ; Characterization and Evaluation of Materials ; Chemistry ; Chemistry and Materials Science ; Desorption ; Electrospraying ; Fatty acids ; Female ; Fertility ; Follicles ; Food Science ; Imaging ; Implantation ; Ionization ; Ions ; Laboratory Medicine ; Lipid Metabolism ; Lipids ; Mammals ; Mass spectrometry ; Mass spectroscopy ; Mice ; Monitoring/Environmental Analysis ; Ovaries ; Ovary - metabolism ; Ovulation ; Paper in Forefront ; Phosphatidylinositol ; Principal components analysis ; Scientific imaging ; Spatial distribution ; Spectrometry, Mass, Electrospray Ionization - methods ; Spectroscopy ; Spectrum analysis ; Stroma ; Swine ; Unsaturated fatty acids ; Wildlife conservation</subject><ispartof>Analytical and bioanalytical chemistry, 2020-02, Vol.412 (6), p.1251-1262</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Analytical and Bioanalytical Chemistry is a copyright of Springer, (2020). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c545t-35c9be29f9d8e9b312e60ea2cf7b3a211b30191b97bd8b49dc7b0ea8b4056c593</citedby><cites>FETCH-LOGICAL-c545t-35c9be29f9d8e9b312e60ea2cf7b3a211b30191b97bd8b49dc7b0ea8b4056c593</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00216-019-02352-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00216-019-02352-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31953714$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cordeiro, Fernanda Bertuccez</creatorcontrib><creatorcontrib>Jarmusch, Alan K.</creatorcontrib><creatorcontrib>León, Marisol</creatorcontrib><creatorcontrib>Ferreira, Christina Ramires</creatorcontrib><creatorcontrib>Pirro, Valentina</creatorcontrib><creatorcontrib>Eberlin, Livia S.</creatorcontrib><creatorcontrib>Hallett, Judy</creatorcontrib><creatorcontrib>Miglino, Maria Angelica</creatorcontrib><creatorcontrib>Cooks, Robert Graham</creatorcontrib><title>Mammalian ovarian lipid distributions by desorption electrospray ionization–mass spectrometry (DESI-MS) imaging</title><title>Analytical and bioanalytical chemistry</title><addtitle>Anal Bioanal Chem</addtitle><addtitle>Anal Bioanal Chem</addtitle><description>Merging optical images of tissue sections with the spatial distributions of molecules seen by imaging mass spectrometry is a powerful approach to better understand the metabolic roles of the mapped molecules. Here, we use histologically friendly desorption electrospray ionization–mass spectrometry (DESI-MS) to map the lipid distribution in tissue sections of ovaries from cows (
N
= 8), sows (
N
= 3), and mice (
N
= 12). Morphologically friendly DESI-MS imaging allows the same sections to be examined for morphological information. Independent of the species, ovarian follicles, corpora lutea, and stroma could be differentiated by principal component analysis, showing that lipid profiles are well conserved among species. As examples of specific findings, arachidonic acid and the phosphatidylinositol PI(38:4), were both found concentrated in the follicles and corpora lutea, structures that promoted ovulation and implantation, respectively. Adrenic acid was spatially located in the corpora lutea, suggesting the importance of this fatty acid in the ovary luteal phase. In summary, lipid information captured by DESI-MS imaging could be related to ovarian structures and data were all conserved among cows, sows, and mice. Further application of DESI-MS imaging to either physiological or pathophysiological models of reproductive conditions will likely expand knowledge of the roles of specific lipids and pathways in ovarian activity and mammalian fertility.
Graphical abstract
Desorption electrospray ionization–mass spectrometry (DESI-MS) is performed directly from frozen ovarian tissue sections placed onto glass slides. Because the desorption and ionization process of small molecules is so gentle, the tissue architecture is preserved. The sample can then be stained and tissue morphology information can be overlaid with the chemical information obtained by DESI-MS.</description><subject>Analytical Chemistry</subject><subject>Animals</subject><subject>Arachidonic acid</subject><subject>Biochemistry</subject><subject>Cattle</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Desorption</subject><subject>Electrospraying</subject><subject>Fatty acids</subject><subject>Female</subject><subject>Fertility</subject><subject>Follicles</subject><subject>Food Science</subject><subject>Imaging</subject><subject>Implantation</subject><subject>Ionization</subject><subject>Ions</subject><subject>Laboratory Medicine</subject><subject>Lipid Metabolism</subject><subject>Lipids</subject><subject>Mammals</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Mice</subject><subject>Monitoring/Environmental Analysis</subject><subject>Ovaries</subject><subject>Ovary - metabolism</subject><subject>Ovulation</subject><subject>Paper in Forefront</subject><subject>Phosphatidylinositol</subject><subject>Principal components analysis</subject><subject>Scientific imaging</subject><subject>Spatial distribution</subject><subject>Spectrometry, Mass, Electrospray Ionization - methods</subject><subject>Spectroscopy</subject><subject>Spectrum analysis</subject><subject>Stroma</subject><subject>Swine</subject><subject>Unsaturated fatty acids</subject><subject>Wildlife conservation</subject><issn>1618-2642</issn><issn>1618-2650</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kctuFTEMhiMEoqXwAixQJDZlMSWXSWayrEqBSq1YFNZRkvEcpZpbkxmkw4p36Bv2SfD0lFYghLKwY3-2bP-EvObsiDNWvc-MCa4Lxk3BhFSi0E_IPte8LoRW7OmDX4o98iLnK8a4qrl-TvYkN0pWvNwn1xeu710X3UDH7y6ttotTbGgT85yiX-Y4Dpn6LW0gj2lavxQ6CHMa85TclmIg_nBr_PbnTe9ypnm6S_cwpy09_HB6eVZcXL6jsXebOGxekmet6zK8urcH5NvH068nn4vzL5_OTo7Pi6BKNRdSBeNBmNY0NRgvuQDNwInQVl46wbmXuDj3pvJN7UvThMpjHl2mdFBGHpDDXd8pjdcL5Nn2MQfoOjfAuGQrZMm1kEIpRN_-hV6NSxpwOqRUaXAgxR6pjevAxqEd5-TC2tQea45AJWqJ1NE_KHwN9DGMA7QR438UiF1BwIvmBK2dEp4qbS1ndtXZ7nS2uK6909lqLHpzP_Hie2geSn4Li4DcASgSHh3S40r_afsLY82zmw</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Cordeiro, Fernanda Bertuccez</creator><creator>Jarmusch, Alan K.</creator><creator>León, Marisol</creator><creator>Ferreira, Christina Ramires</creator><creator>Pirro, Valentina</creator><creator>Eberlin, Livia S.</creator><creator>Hallett, Judy</creator><creator>Miglino, Maria Angelica</creator><creator>Cooks, Robert Graham</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KB.</scope><scope>KR7</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20200201</creationdate><title>Mammalian ovarian lipid distributions by desorption electrospray ionization–mass spectrometry (DESI-MS) imaging</title><author>Cordeiro, Fernanda Bertuccez ; Jarmusch, Alan K. ; León, Marisol ; Ferreira, Christina Ramires ; Pirro, Valentina ; Eberlin, Livia S. ; Hallett, Judy ; Miglino, Maria Angelica ; Cooks, Robert Graham</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c545t-35c9be29f9d8e9b312e60ea2cf7b3a211b30191b97bd8b49dc7b0ea8b4056c593</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analytical Chemistry</topic><topic>Animals</topic><topic>Arachidonic acid</topic><topic>Biochemistry</topic><topic>Cattle</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Desorption</topic><topic>Electrospraying</topic><topic>Fatty acids</topic><topic>Female</topic><topic>Fertility</topic><topic>Follicles</topic><topic>Food Science</topic><topic>Imaging</topic><topic>Implantation</topic><topic>Ionization</topic><topic>Ions</topic><topic>Laboratory Medicine</topic><topic>Lipid Metabolism</topic><topic>Lipids</topic><topic>Mammals</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Mice</topic><topic>Monitoring/Environmental Analysis</topic><topic>Ovaries</topic><topic>Ovary - metabolism</topic><topic>Ovulation</topic><topic>Paper in Forefront</topic><topic>Phosphatidylinositol</topic><topic>Principal components analysis</topic><topic>Scientific imaging</topic><topic>Spatial distribution</topic><topic>Spectrometry, Mass, Electrospray Ionization - methods</topic><topic>Spectroscopy</topic><topic>Spectrum analysis</topic><topic>Stroma</topic><topic>Swine</topic><topic>Unsaturated fatty acids</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cordeiro, Fernanda Bertuccez</creatorcontrib><creatorcontrib>Jarmusch, Alan K.</creatorcontrib><creatorcontrib>León, Marisol</creatorcontrib><creatorcontrib>Ferreira, Christina Ramires</creatorcontrib><creatorcontrib>Pirro, Valentina</creatorcontrib><creatorcontrib>Eberlin, Livia S.</creatorcontrib><creatorcontrib>Hallett, Judy</creatorcontrib><creatorcontrib>Miglino, Maria Angelica</creatorcontrib><creatorcontrib>Cooks, Robert Graham</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Analytical and bioanalytical chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cordeiro, Fernanda Bertuccez</au><au>Jarmusch, Alan K.</au><au>León, Marisol</au><au>Ferreira, Christina Ramires</au><au>Pirro, Valentina</au><au>Eberlin, Livia S.</au><au>Hallett, Judy</au><au>Miglino, Maria Angelica</au><au>Cooks, Robert Graham</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mammalian ovarian lipid distributions by desorption electrospray ionization–mass spectrometry (DESI-MS) imaging</atitle><jtitle>Analytical and bioanalytical chemistry</jtitle><stitle>Anal Bioanal Chem</stitle><addtitle>Anal Bioanal Chem</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>412</volume><issue>6</issue><spage>1251</spage><epage>1262</epage><pages>1251-1262</pages><issn>1618-2642</issn><eissn>1618-2650</eissn><abstract>Merging optical images of tissue sections with the spatial distributions of molecules seen by imaging mass spectrometry is a powerful approach to better understand the metabolic roles of the mapped molecules. Here, we use histologically friendly desorption electrospray ionization–mass spectrometry (DESI-MS) to map the lipid distribution in tissue sections of ovaries from cows (
N
= 8), sows (
N
= 3), and mice (
N
= 12). Morphologically friendly DESI-MS imaging allows the same sections to be examined for morphological information. Independent of the species, ovarian follicles, corpora lutea, and stroma could be differentiated by principal component analysis, showing that lipid profiles are well conserved among species. As examples of specific findings, arachidonic acid and the phosphatidylinositol PI(38:4), were both found concentrated in the follicles and corpora lutea, structures that promoted ovulation and implantation, respectively. Adrenic acid was spatially located in the corpora lutea, suggesting the importance of this fatty acid in the ovary luteal phase. In summary, lipid information captured by DESI-MS imaging could be related to ovarian structures and data were all conserved among cows, sows, and mice. Further application of DESI-MS imaging to either physiological or pathophysiological models of reproductive conditions will likely expand knowledge of the roles of specific lipids and pathways in ovarian activity and mammalian fertility.
Graphical abstract
Desorption electrospray ionization–mass spectrometry (DESI-MS) is performed directly from frozen ovarian tissue sections placed onto glass slides. Because the desorption and ionization process of small molecules is so gentle, the tissue architecture is preserved. The sample can then be stained and tissue morphology information can be overlaid with the chemical information obtained by DESI-MS.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>31953714</pmid><doi>10.1007/s00216-019-02352-6</doi><tpages>12</tpages></addata></record> |
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| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Analytical Chemistry Animals Arachidonic acid Biochemistry Cattle Characterization and Evaluation of Materials Chemistry Chemistry and Materials Science Desorption Electrospraying Fatty acids Female Fertility Follicles Food Science Imaging Implantation Ionization Ions Laboratory Medicine Lipid Metabolism Lipids Mammals Mass spectrometry Mass spectroscopy Mice Monitoring/Environmental Analysis Ovaries Ovary - metabolism Ovulation Paper in Forefront Phosphatidylinositol Principal components analysis Scientific imaging Spatial distribution Spectrometry, Mass, Electrospray Ionization - methods Spectroscopy Spectrum analysis Stroma Swine Unsaturated fatty acids Wildlife conservation |
| title | Mammalian ovarian lipid distributions by desorption electrospray ionization–mass spectrometry (DESI-MS) imaging |
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