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Towards precision prognostication and personalized therapeutics through proteomics
dc.creator | Santamaría, Enrique | es_ES |
dc.date.accessioned | 2023-09-05T11:07:21Z | |
dc.date.available | 2023-09-05T11:07:21Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Santamaría, E. (2023). Towards precision prognostication and personalized therapeutics through proteomics. International Journal of Molecular Sciences, 24(7), 6361. https://doi.org/10.3390/ijms24076361 | en |
dc.identifier.issn | 1661-6596 | |
dc.identifier.uri | https://hdl.handle.net/2454/46220 | |
dc.description.abstract | Next-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.sponsorship | This 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.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | MDPI | en |
dc.relation.ispartof | International Journal of Molecular Sciences, 2023, 24(7), 6361 | en |
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.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Proteomics | en |
dc.subject | Prognostication | en |
dc.title | Towards precision prognostication and personalized therapeutics through proteomics | en |
dc.type | Otros / Bestelakoak | es |
dc.type | info:eu-repo/semantics/other | en |
dc.date.updated | 2023-09-05T11:07:20Z | |
dc.contributor.department | Ciencias de la Salud | es_ES |
dc.contributor.department | Osasun Zientziak | eu |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.identifier.doi | 10.3390/ijms24076361 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110356RB-I00/ES/ | en |
dc.relation.projectID | info:eu-repo/grantAgreement/Gobierno de Navarra//0011-1411-2020-000028 | en |
dc.relation.publisherversion | https://doi.org/10.3390/ijms24076361 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |
dc.type.version | Versión publicada / Argitaratu den bertsioa | es |