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dc.creatorSantamaría, Enriquees_ES
dc.date.accessioned2023-09-05T11:07:21Z
dc.date.available2023-09-05T11:07:21Z
dc.date.issued2023
dc.identifier.citationSantamaría, E. (2023). Towards precision prognostication and personalized therapeutics through proteomics. International Journal of Molecular Sciences, 24(7), 6361. https://doi.org/10.3390/ijms24076361en
dc.identifier.issn1661-6596
dc.identifier.urihttps://hdl.handle.net/2454/46220
dc.description.abstractNext-generation proteomics has allowed the implementation of biomedical proteome research to uncover disease-affected protein expression profiles. It has also enabled the determination of protein localization, protein interactomes, posttranslational modifications and protein dysfunction in human diseases. Many pillars in personalized medicine, such as diagnostic improvements, drug screening, systems biology or bioinformatics, require the generation of quantitatively consistent proteomics data from translational animal models to human biospecimens to fill the information gap, making omics analysis actionable from a clinical perspective [1-3]. This Special Issue received multiple submissions, of which five original articles were accepted for publication. These contributions cover different phases of precision medicine in the context of proteomics: (i) discovery and quantitation of potential biomarker candidates (three articles), (ii) the proteostatic modulation and mechanisms of action of pharmacological compounds (one article) and (iii) the characterization of posttranslational modifications (one article).en
dc.description.sponsorshipThis work was funded by grants from the Spanish Ministry of Science, Innovation and Universities (Ref. PID2019-110356RB-I00/AEI/10.13039/501100011033) and the Department of Economic and Business Development from Government of Navarra (Ref. 0011-1411-2020-000028).en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofInternational Journal of Molecular Sciences, 2023, 24(7), 6361en
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectProteomicsen
dc.subjectPrognosticationen
dc.titleTowards precision prognostication and personalized therapeutics through proteomicsen
dc.typeOtros / Bestelakoakes
dc.typeinfo:eu-repo/semantics/otheren
dc.date.updated2023-09-05T11:07:20Z
dc.contributor.departmentCiencias de la Saludes_ES
dc.contributor.departmentOsasun Zientziakeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.3390/ijms24076361
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110356RB-I00/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno de Navarra//0011-1411-2020-000028en
dc.relation.publisherversionhttps://doi.org/10.3390/ijms24076361
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
La licencia del ítem se describe como © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.

El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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