{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362544419739865728.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1002/prca.201700062"}},{"identifier":{"@type":"URI","@value":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fprca.201700062"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/prca.201700062"}}],"dc:title":[{"@value":"MALDI Imaging‐Guided Microproteomic Analyses of Heterogeneous Breast Tumors—A Pilot Study"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title><jats:p>Matrix‐assisted laser desorption/ionization (MALDI) imaging is an ideal tool to study intratumor heterogeneity (ITH) and its implication in prognostic stratification of patients. However, there are some drawbacks concerning protein identification. On the other hand, laser microdissection (LMD)‐based microproteomics allows retrieving thousands of protein identifications from small tissue pieces. As a proof of concept, the authors combine these two complementary approaches to analyze heterogeneous regions in breast tumors. Invasive ductal breast cancer FFPE tissue sections from five patients are analyzed by MALDI imaging and the dataset is processed by segmentation. Heterogeneous regions within tumors are processed by LMD‐based microproteomics, in duplicates. Liquid chromatography‐tandem mass spectrometry data are classified by hierarchical clustering. Heterogeneous tissue regions are discriminated on the basis of their actual molecular heterogeneity. The dataset is correlated with MALDI imaging to identify <jats:italic>m/z</jats:italic> values discriminating heterogeneous regions. The molecular characterization of cell clones in tumors related to bad patient outcome could have great impact for pathology. A combined application of LMD‐based microproteomics and MALDI imaging for ITH studies is presented.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1382544419739865736","@type":"Researcher","foaf:name":[{"@value":"Deborah Alberts"}],"jpcoar:affiliationName":[{"@value":"Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège  Liege Belgium"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865728","@type":"Researcher","foaf:name":[{"@value":"Charles Pottier"}],"jpcoar:affiliationName":[{"@value":"Department of Pathology GIGA Cancer University of Liège Hospital  Liège Belgium"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865738","@type":"Researcher","foaf:name":[{"@value":"Nicolas Smargiasso"}],"jpcoar:affiliationName":[{"@value":"Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège  Liege Belgium"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865735","@type":"Researcher","foaf:name":[{"@value":"Dominique Baiwir"}],"jpcoar:affiliationName":[{"@value":"GIGA Proteomic Facility University of Liège  Liège Belgium"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865730","@type":"Researcher","foaf:name":[{"@value":"Gabriel Mazzucchelli"}],"jpcoar:affiliationName":[{"@value":"Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège  Liege Belgium"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865733","@type":"Researcher","foaf:name":[{"@value":"Philippe Delvenne"}],"jpcoar:affiliationName":[{"@value":"Department of Pathology GIGA Cancer University of Liège Hospital  Liège Belgium"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865734","@type":"Researcher","foaf:name":[{"@value":"Mark Kriegsmann"}],"jpcoar:affiliationName":[{"@value":"Institute of Pathology University of Heidelberg  Heidelberg Germany"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865737","@type":"Researcher","foaf:name":[{"@value":"Daniel Kazdal"}],"jpcoar:affiliationName":[{"@value":"Institute of Pathology University of Heidelberg  Heidelberg Germany"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865731","@type":"Researcher","foaf:name":[{"@value":"Arne Warth"}],"jpcoar:affiliationName":[{"@value":"Institute of Pathology University of Heidelberg  Heidelberg Germany"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865732","@type":"Researcher","foaf:name":[{"@value":"Edwin De Pauw"}],"jpcoar:affiliationName":[{"@value":"Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège  Liege Belgium"}]},{"@id":"https://cir.nii.ac.jp/crid/1382544419739865729","@type":"Researcher","foaf:name":[{"@value":"Rémi Longuespée"}],"jpcoar:affiliationName":[{"@value":"Laboratory of Mass Spectrometry (LSM) ‐ MolSys Department of Chemistry University of Liège  Liege Belgium"},{"@value":"Institute of Pathology University of Heidelberg  Heidelberg Germany"},{"@value":"Proteopath GmbH  Trier Germany"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"18628346"},{"@type":"EISSN","@value":"18628354"}],"prism:publicationName":[{"@value":"PROTEOMICS – Clinical Applications"}],"dc:publisher":[{"@value":"Wiley"}],"prism:publicationDate":"2017-09-15","prism:volume":"12","prism:number":"1"},"reviewed":"false","dc:rights":["http://onlinelibrary.wiley.com/termsAndConditions#vor"],"url":[{"@id":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fprca.201700062"},{"@id":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/prca.201700062"}],"createdAt":"2017-08-12","modifiedAt":"2023-09-13","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050285299796815488","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Hierarchical Cluster and Region of Interest Analyses Based on Mass Spectrometry Imaging of Human Brain Tumours"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1002/prca.201700062"},{"@type":"CROSSREF","@value":"10.1038/s41598-020-62176-8_references_DOI_aUdGAtQCg8w6TL4iE5ugQtmcKNp"}]}