Multiplex SERS Detection of Metabolic Alterations in Tumor Extracellular Media
dc.contributor.author | Plou, Javier | |
dc.contributor.author | García, Isabel | |
dc.contributor.author | Charconnet, Mathias | |
dc.contributor.author | Astobiza Pérez, Ianire | |
dc.contributor.author | García Astrain, Clara | |
dc.contributor.author | Matricardi, Cristiano | |
dc.contributor.author | Mihi, Agustín | |
dc.contributor.author | Carracedo Pérez, Arkaitz | |
dc.contributor.author | Liz Marzán, Luis Manuel | |
dc.contributor.author | European Commission | |
dc.date.accessioned | 2020-05-22T15:24:26Z | |
dc.date.available | 2020-05-22T15:24:26Z | |
dc.date.issued | 2020-04 | |
dc.identifier.citation | Advanced Functional Materials 30(17) : (2020) // Article ID 1910335 | es_ES |
dc.identifier.issn | 1616-301X | |
dc.identifier.issn | 1616-3028 | |
dc.identifier.uri | http://hdl.handle.net/10810/43372 | |
dc.description.abstract | The composition and intercellular interactions of tumor cells in the tissues dictate the biochemical and metabolic properties of the tumor microenvironment. The metabolic rewiring has a profound impact on the properties of the microenvironment, to an extent that monitoring such perturbations could harbor diagnostic and therapeutic relevance. A growing interest in these phenomena has inspired the development of novel technologies with sufficient sensitivity and resolution to monitor metabolic alterations in the tumor microenvironment. In this context, surface-enhanced Raman scattering (SERS) can be used for the label-free detection and imaging of diverse molecules of interest among extracellular components. Herein, the application of nanostructured plasmonic substrates comprising Au nanoparticles, self-assembled as ordered superlattices, to the precise SERS detection of selected tumor metabolites, is presented. The potential of this technology is first demonstrated through the analysis of kynurenine, a secreted immunomodulatory derivative of the tumor metabolism and the related molecules tryptophan and purine derivatives. SERS facilitates the unambiguous identification of trace metabolites and allows the multiplex detection of their characteristic fingerprints under different conditions. Finally, the effective plasmonic SERS substrate is combined with a hydrogel-based three-dimensional cancer model, which recreates the tumor microenvironment, for the real-time imaging of metabolite alterations and cytotoxic effects on tumor cells. | es_ES |
dc.description.sponsorship | J.P. acknowledges an FPU fellowship from the Spanish Ministry of Science, Innovation and Universities. L.M.L.-M. acknowledges funding from the European Research Council (ERC AdG 787510, 4DbioSERS) and the Maria de Maeztu Units of Excellence Program from the Spanish State Research Agency (Grant No. MDM-2017-0720). C.G.-A. acknowledges a Juan de la Cierva Fellowship from the Spanish Ministry of Science, Innovation and Universities (FJCI-2016-28887). The authors thank Dr. J. Calvo and Dr. D. Otaegui at CIC biomaGUNE for support with LC/ESI-HRMS measurements. The work of A.C. was supported by the Basque Department of Industry, Tourism and Trade (Elkartek), and the department of education (IKERTALDE IT1106-16, also participated by A. Gomez-Munoz), the BBVA foundation, the MINECO (SAF2016-79381-R (FEDER/EU); Severo Ochoa Excellence Program SEV-2016-0644-18-1; Excellence Networks SAF2016-81975-REDT), European Training Networks Project (H2020-MSCA-ITN-308 2016 721532), the AECC (IDEAS175CARR, GCTRA18006CARR), La Caixa Foundation (HR17-00094), and the European Research Council (starting Grant 336343, PoC 754627). CIBERONC was co-funded with FEDER funds and funded by ISCIII. A.M. acknowledges funding from the European Research Council (Consolidator Grant 819242) and the Spanish Ministry of Science, Innovation and Universities for the excellence program SEV-2015-0496 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Wiley | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SAF2016-79381-R | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SEV-2016-0644-18-1 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SAF2016-81975-REDT | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/721532 | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/787510 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | 3D hydrogels cancer cell models | es_ES |
dc.subject | plasmonic substrates | es_ES |
dc.subject | surface-enhanced Raman scattering | es_ES |
dc.subject | tumor environment | es_ES |
dc.subject | tumor metabolism sensing enhanced raman-spectra | es_ES |
dc.subject | cancer | es_ES |
dc.subject | quantification | es_ES |
dc.subject | nanoparticles | es_ES |
dc.subject | spectroscopy | es_ES |
dc.subject | tryptophan | es_ES |
dc.subject | mechanism | es_ES |
dc.subject | apoptosis | es_ES |
dc.subject | bacteria | es_ES |
dc.title | Multiplex SERS Detection of Metabolic Alterations in Tumor Extracellular Media | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | 2020 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://onlinelibrary.wiley.com/doi/full/10.1002/adfm.201910335 | es_ES |
dc.identifier.doi | 10.1002/adfm.201910335 | |
dc.departamentoes | Bioquímica y biología molecular | es_ES |
dc.departamentoeu | Biokimika eta biologia molekularra | es_ES |
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Except where otherwise noted, this item's license is described as 2020 The Authors. Published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.