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dc.contributor.authorKrasny, L
dc.contributor.authorBland, P
dc.contributor.authorKogata, N
dc.contributor.authorWai, P
dc.contributor.authorHoward, BA
dc.contributor.authorNatrajan, RC
dc.contributor.authorHuang, PH
dc.date.accessioned2018-03-05T11:20:07Z
dc.date.issued2018-03-01
dc.identifier.citationJournal of proteomics, 2018, 189 pp. 11 - 22
dc.identifier.issn1874-3919
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/1525
dc.identifier.eissn1876-7737
dc.identifier.doi10.1016/j.jprot.2018.02.026
dc.description.abstractProteomic analysis of extracellular matrix (ECM) and ECM-associated proteins, collectively known as the matrisome, is a challenging task due to the inherent complexity and insolubility of these proteins. Here we present sequential window acquisition of all theoretical fragment ion spectra mass spectrometry (SWATH MS) as a tool for the quantitative analysis of matrisomal proteins in both non-enriched and ECM enriched tissue without the need for prior fractionation. Utilising a spectral library containing 201 matrisomal proteins, we compared the performance and reproducibility of SWATH MS over conventional data-dependent analysis mass spectrometry (DDA MS) in unfractionated murine lung and liver. SWATH MS conferred a 15-20% increase in reproducible peptide identification across replicate experiments in both tissue types and identified 54% more matrisomal proteins in the liver versus DDA MS. We further use SWATH MS to evaluate the quantitative changes in matrisome content that accompanies ECM enrichment. Our data shows that ECM enrichment led to a systematic increase in core matrisomal proteins but resulted in significant losses in matrisome-associated proteins including the cathepsins and proteins of the S100 family. Our proof-of-principle study demonstrates the utility of SWATH MS as a versatile tool for in-depth characterisation of the matrisome in unfractionated and non-enriched tissues. SIGNIFICANCE: The matrisome is a complex network of extracellular matrix (ECM) and ECM-associated proteins that provides scaffolding function to tissues and plays important roles in the regulation of fundamental cellular processes. However, due to its inherent complexity and insolubility, proteomic studies of the matrisome typically require the application of enrichment workflows prior to MS analysis. Such enrichment strategies often lead to losses in soluble matrisome-associated components. In this study, we present sequential window acquisition of all theoretical fragment ion spectra mass spectrometry (SWATH MS) as a tool for the quantitative analysis of matrisomal proteins. We show that SWATH MS provides a more reproducible coverage of the matrisome compared to data-dependent analysis (DDA) MS. We also demonstrate that SWATH MS is capable of accurate quantification of matrisomal proteins without prior ECM enrichment and fractionation, which may simplify sample handling workflows and avoid losses in matrisome-associated proteins commonly linked to ECM enrichment.
dc.formatPrint-Electronic
dc.format.extent11 - 22
dc.languageeng
dc.language.isoeng
dc.publisherELSEVIER
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectExtracellular Matrix
dc.subjectAnimals
dc.subjectMice
dc.subjectMice, SCID
dc.subjectProteome
dc.subjectExtracellular Matrix Proteins
dc.subjectChemical Fractionation
dc.subjectData Interpretation, Statistical
dc.subjectProteomics
dc.subjectFemale
dc.subjectMass Spectrometry
dc.titleSWATH mass spectrometry as a tool for quantitative profiling of the matrisome.
dc.typeJournal Article
dcterms.dateAccepted2018-02-19
rioxxterms.versionofrecord10.1016/j.jprot.2018.02.026
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2018-10
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfJournal of proteomics
pubs.notesNo embargo
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Endocrine control mechanisms
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Functional Genomics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Functional Genomics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Molecular and Systems Oncology
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Endocrine control mechanisms
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Functional Genomics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Functional Genomics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Molecular and Systems Oncology
pubs.publication-statusPublished
pubs.volume189
pubs.embargo.termsNo embargo
icr.researchteamEndocrine control mechanisms
icr.researchteamFunctional Genomics
icr.researchteamMolecular and Systems Oncology
dc.contributor.icrauthorKrasny, Lukas
dc.contributor.icrauthorHoward, Beatrice
dc.contributor.icrauthorNatrajan, Rachael
dc.contributor.icrauthorHuang, Paul


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