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dc.contributor.authorLacalle-Bergeron, Leticia
dc.contributor.authorGoterris-Cerisuelo, Rafael
dc.contributor.authorBeltran Arandes, Joaquin
dc.contributor.authorSancho Llopis, Juan Vicente
dc.contributor.authorNavarro-Moreno, Cinta
dc.contributor.authorMartinez-Garcia, Fernando
dc.contributor.authorPortoles, Tania
dc.date.accessioned2023-05-25T10:44:05Z
dc.date.available2023-05-25T10:44:05Z
dc.date.issued2023
dc.identifier.citationLACALLE-BERGERON, Leticia, et al. Untargeted metabolomics approach using UHPLC-IMS-QTOF MS for surface body samples to identify low-volatility chemosignals related to maternal care in mice. Talanta, 2023, vol. 258, p. 124389.ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/202615
dc.description.abstractThe present study is focused on the determination of low-volatile chemosignals excreted or secreted by mouse pups in their early days of life involved in maternal care induction in mice adult females. Untargeted metabolomics was employed to differentiate between samples collected with swabs from facial and anogenital area from neonatal mouse pups receiving maternal care (first two weeks of life) and the elder mouse pups in the weaning period (4th week old). The sample extracts were analysed by ultra-high pressure liquid chromatography (UHPLC) coupled to ion mobility separation (IMS) in combination with high resolution mass spectrometry (HRMS). After data processing with Progenesis QI and multivariate statistical analysis, five markers present in the first two weeks of mouse pups life and putatively involved in materno-filial chemical communication were tentatively identified: arginine, urocanic acid, erythro-sphingosine (d17:1), sphingosine (d18:1) and sphinganine. The four-dimensional data and the tools associated to the additional structural descriptor obtained by IMS separation were of great help in the compound identification. The results demonstrated the great potential of UHPLC-IMS-HRMS based untargeted metabolomics to identity putative pheromones in mammals.ca_CA
dc.description.sponsorShipFunding for open access charge: CRUE-Universitat Jaume I
dc.format.extent12 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfTalanta, 2023, vol. 258, p. 124389.ca_CA
dc.rights0039-9140/© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/ca_CA
dc.subjectUntargeted metabolomicsca_CA
dc.subjectIon mobilityca_CA
dc.subjectChemical signallingca_CA
dc.subjectMouse pheromonesca_CA
dc.subjectMaternal careca_CA
dc.subjectHRMSca_CA
dc.titleUntargeted metabolomics approach using UHPLC-IMS-QTOF MS for surface body samples to identify low-volatility chemosignals related to maternal care in miceca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1016/j.talanta.2023.124389
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.sciencedirect.com/science/article/pii/S0039914023001406ca_CA
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.nameUniversitat Jaume Ica_CA
project.funder.nameMinisterio de Economía y Competitividadca_CA
project.funder.nameGeneralitat Valencianaca_CA
project.funder.nameMinisterio de Ciencia e Innovaciónca_CA
oaire.awardNumberUJI 19I001/03ca_CA
oaire.awardNumberRYC-2017-22525)ca_CA
oaire.awardNumberPROMETEO/2019/040ca_CA
oaire.awardNumberUJI-B2020-25ca_CA
oaire.awardNumberUJI-B2020-37ca_CA
oaire.awardNumberPROMETEO/2017/078ca_CA
oaire.awardNumberBFU2016-77691-C2ca_CA
oaire.awardNumberPID2019-107322 GB-C21ca_CA
oaire.awardNumberUJI-B2016-45ca_CA


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0039-9140/© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como: 0039-9140/© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).