An Improved Molecular Histology Method for Ion Suppression Monitoring and Quantification of Phosphatidyl Cholines During MALDI MSI Lipidomics Analyses.
Identifieur interne : 000173 ( PubMed/Corpus ); précédent : 000172; suivant : 000174An Improved Molecular Histology Method for Ion Suppression Monitoring and Quantification of Phosphatidyl Cholines During MALDI MSI Lipidomics Analyses.
Auteurs : Laure Jadoul ; Nicolas Smargiasso ; Fabien Pamelard ; Deborah Alberts ; Agnès Noël ; Edwin De Pauw ; Rémi LonguespéeSource :
- Omics : a journal of integrative biology [ 1557-8100 ] ; 2016.
English descriptors
- KwdEn :
- Animals, Brain (metabolism), Fourier Analysis, Kidney (metabolism), Lipid Metabolism, Mice, Inbred BALB C, Phosphatidylcholines (metabolism), Quality Improvement, Reference Standards, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (methods), Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (standards), Sus scrofa.
- MESH :
- chemical , metabolism : Phosphatidylcholines.
- metabolism : Brain, Kidney.
- methods : Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization.
- standards : Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization.
- Animals, Fourier Analysis, Lipid Metabolism, Mice, Inbred BALB C, Quality Improvement, Reference Standards, Sus scrofa.
Abstract
Tissue lipidomics is one of the latest omics approaches for biomarker discovery in pharmacology, pathology, and the life sciences at large. In this context, matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) is the most versatile tool to map compounds within tissue sections. However, ion suppression events occurring during MALDI MSI analyses make it impossible to use this method for quantitative investigations without additional validation steps. This is especially true for lipidomics, since different lipid classes are responsible for important ion suppression events. We propose here an improved lipidomics method to assess local ion suppression of phospatidylcholines in tissues. Serial tissue sections were spiked with different amounts of PC(16:0 d31/18:1) using a nebulization device. Settings for standard nebulization were strictly controlled for a detection similar to when using spiked tissue homogenates. The sections were simultaneously analyzed by MALDI MSI using a Fourier transform ion cyclotron resonance analyzer. Such a spray-based approach allows taking into account the biochemical heterogeneity of the tissue for the detection of PC(16:0 d31/18:1). Thus, here we present the perspective to use this method for quantification purposes. The linear regression lines are considered as calibration curves and we calculate PC(16:0/18:1) quantification values for different ROIs. Although those values need to be validated by a using a different independent approach, the workflow offers an insight into new quantitative mass spectrometry imaging (q-MSI) methods. This approach of ion suppression monitoring of phosphocholines in tissues may be highly interesting for a large range of applications in MALDI MSI, particularly for pathology using translational science workflows.
DOI: 10.1089/omi.2015.0165
PubMed: 26871868
Links to Exploration step
pubmed:26871868Le document en format XML
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last="Pamelard">Fabien Pamelard</name><affiliation><nlm:affiliation>2 Imabiotech, MALDI Imaging Service Department, Loos, France .</nlm:affiliation></affiliation></author><author><name sortKey="Alberts, Deborah" sort="Alberts, Deborah" uniqKey="Alberts D" first="Deborah" last="Alberts">Deborah Alberts</name><affiliation><nlm:affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</nlm:affiliation></affiliation></author><author><name sortKey="Noel, Agnes" sort="Noel, Agnes" uniqKey="Noel A" first="Agnès" last="Noël">Agnès Noël</name><affiliation><nlm:affiliation>3 Laboratory of Tumor and Development Biology, GIGA-Cancer, University of Liège , Liège, Belgium .</nlm:affiliation></affiliation></author><author><name sortKey="De Pauw, Edwin" sort="De Pauw, Edwin" uniqKey="De Pauw E" first="Edwin" last="De Pauw">Edwin De Pauw</name><affiliation><nlm:affiliation>1 Mass Spectrometry Laboratory, Department of 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Phosphatidyl Cholines During MALDI MSI Lipidomics Analyses.</title><author><name sortKey="Jadoul, Laure" sort="Jadoul, Laure" uniqKey="Jadoul L" first="Laure" last="Jadoul">Laure Jadoul</name><affiliation><nlm:affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</nlm:affiliation></affiliation></author><author><name sortKey="Smargiasso, Nicolas" sort="Smargiasso, Nicolas" uniqKey="Smargiasso N" first="Nicolas" last="Smargiasso">Nicolas Smargiasso</name><affiliation><nlm:affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</nlm:affiliation></affiliation></author><author><name sortKey="Pamelard, Fabien" sort="Pamelard, Fabien" uniqKey="Pamelard F" first="Fabien" last="Pamelard">Fabien Pamelard</name><affiliation><nlm:affiliation>2 Imabiotech, MALDI Imaging Service Department, Loos, France .</nlm:affiliation></affiliation></author><author><name sortKey="Alberts, Deborah" sort="Alberts, Deborah" uniqKey="Alberts D" first="Deborah" last="Alberts">Deborah Alberts</name><affiliation><nlm:affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</nlm:affiliation></affiliation></author><author><name sortKey="Noel, Agnes" sort="Noel, Agnes" uniqKey="Noel A" first="Agnès" last="Noël">Agnès Noël</name><affiliation><nlm:affiliation>3 Laboratory of Tumor and Development Biology, GIGA-Cancer, University of Liège , Liège, Belgium .</nlm:affiliation></affiliation></author><author><name sortKey="De Pauw, Edwin" sort="De Pauw, Edwin" uniqKey="De Pauw E" first="Edwin" last="De Pauw">Edwin De Pauw</name><affiliation><nlm:affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</nlm:affiliation></affiliation></author><author><name sortKey="Longuespee, Remi" sort="Longuespee, Remi" uniqKey="Longuespee R" first="Rémi" last="Longuespée">Rémi Longuespée</name><affiliation><nlm:affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</nlm:affiliation></affiliation></author></analytic><series><title level="j">Omics : a journal of integrative biology</title><idno type="eISSN">1557-8100</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Brain (metabolism)</term><term>Fourier Analysis</term><term>Kidney (metabolism)</term><term>Lipid Metabolism</term><term>Mice, Inbred BALB C</term><term>Phosphatidylcholines (metabolism)</term><term>Quality Improvement</term><term>Reference Standards</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (methods)</term><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization (standards)</term><term>Sus scrofa</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Phosphatidylcholines</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Brain</term><term>Kidney</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Fourier Analysis</term><term>Lipid Metabolism</term><term>Mice, Inbred BALB C</term><term>Quality Improvement</term><term>Reference Standards</term><term>Sus scrofa</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Tissue lipidomics is one of the latest omics approaches for biomarker discovery in pharmacology, pathology, and the life sciences at large. In this context, matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) is the most versatile tool to map compounds within tissue sections. However, ion suppression events occurring during MALDI MSI analyses make it impossible to use this method for quantitative investigations without additional validation steps. This is especially true for lipidomics, since different lipid classes are responsible for important ion suppression events. We propose here an improved lipidomics method to assess local ion suppression of phospatidylcholines in tissues. Serial tissue sections were spiked with different amounts of PC(16:0 d31/18:1) using a nebulization device. Settings for standard nebulization were strictly controlled for a detection similar to when using spiked tissue homogenates. The sections were simultaneously analyzed by MALDI MSI using a Fourier transform ion cyclotron resonance analyzer. Such a spray-based approach allows taking into account the biochemical heterogeneity of the tissue for the detection of PC(16:0 d31/18:1). Thus, here we present the perspective to use this method for quantification purposes. The linear regression lines are considered as calibration curves and we calculate PC(16:0/18:1) quantification values for different ROIs. Although those values need to be validated by a using a different independent approach, the workflow offers an insight into new quantitative mass spectrometry imaging (q-MSI) methods. This approach of ion suppression monitoring of phosphocholines in tissues may be highly interesting for a large range of applications in MALDI MSI, particularly for pathology using translational science workflows.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26871868</PMID><DateCreated><Year>2016</Year><Month>02</Month><Day>13</Day></DateCreated><DateCompleted><Year>2016</Year><Month>11</Month><Day>10</Day></DateCompleted><DateRevised><Year>2016</Year><Month>12</Month><Day>30</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1557-8100</ISSN><JournalIssue CitedMedium="Internet"><Volume>20</Volume><Issue>2</Issue><PubDate><Year>2016</Year><Month>Feb</Month></PubDate></JournalIssue><Title>Omics : a journal of integrative biology</Title><ISOAbbreviation>OMICS</ISOAbbreviation></Journal><ArticleTitle>An Improved Molecular Histology Method for Ion Suppression Monitoring and Quantification of Phosphatidyl Cholines During MALDI MSI Lipidomics Analyses.</ArticleTitle><Pagination><MedlinePgn>110-21</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1089/omi.2015.0165</ELocationID><Abstract><AbstractText>Tissue lipidomics is one of the latest omics approaches for biomarker discovery in pharmacology, pathology, and the life sciences at large. In this context, matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) is the most versatile tool to map compounds within tissue sections. However, ion suppression events occurring during MALDI MSI analyses make it impossible to use this method for quantitative investigations without additional validation steps. This is especially true for lipidomics, since different lipid classes are responsible for important ion suppression events. We propose here an improved lipidomics method to assess local ion suppression of phospatidylcholines in tissues. Serial tissue sections were spiked with different amounts of PC(16:0 d31/18:1) using a nebulization device. Settings for standard nebulization were strictly controlled for a detection similar to when using spiked tissue homogenates. The sections were simultaneously analyzed by MALDI MSI using a Fourier transform ion cyclotron resonance analyzer. Such a spray-based approach allows taking into account the biochemical heterogeneity of the tissue for the detection of PC(16:0 d31/18:1). Thus, here we present the perspective to use this method for quantification purposes. The linear regression lines are considered as calibration curves and we calculate PC(16:0/18:1) quantification values for different ROIs. Although those values need to be validated by a using a different independent approach, the workflow offers an insight into new quantitative mass spectrometry imaging (q-MSI) methods. This approach of ion suppression monitoring of phosphocholines in tissues may be highly interesting for a large range of applications in MALDI MSI, particularly for pathology using translational science workflows.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Jadoul</LastName><ForeName>Laure</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Smargiasso</LastName><ForeName>Nicolas</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Pamelard</LastName><ForeName>Fabien</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>2 Imabiotech, MALDI Imaging Service Department, Loos, France .</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Alberts</LastName><ForeName>Deborah</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Noël</LastName><ForeName>Agnès</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>3 Laboratory of Tumor and Development Biology, GIGA-Cancer, University of Liège , Liège, Belgium .</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>De Pauw</LastName><ForeName>Edwin</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Longuespée</LastName><ForeName>Rémi</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>4 Present affiliation: Proteopath, Trier, Germany .</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>OMICS</MedlineTA><NlmUniqueID>101131135</NlmUniqueID><ISSNLinking>1536-2310</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D010713">Phosphatidylcholines</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001921" MajorTopicYN="N">Brain</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005583" MajorTopicYN="N">Fourier Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007668" MajorTopicYN="N">Kidney</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D050356" MajorTopicYN="N">Lipid Metabolism</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008807" MajorTopicYN="N">Mice, Inbred BALB C</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010713" MajorTopicYN="N">Phosphatidylcholines</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058996" MajorTopicYN="N">Quality Improvement</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012015" MajorTopicYN="N">Reference Standards</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019032" MajorTopicYN="N">Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName><QualifierName UI="Q000592" MajorTopicYN="N">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D034421" MajorTopicYN="N">Sus scrofa</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>2</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>2</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>11</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26871868</ArticleId><ArticleId IdType="doi">10.1089/omi.2015.0165</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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