Publication:
Towards precision prognostication and personalized therapeutics through proteomics

Date

2023

Director

Publisher

MDPI
Acceso abierto / Sarbide irekia
Otros / Bestelakoak
Versión publicada / Argitaratu den bertsioa

Project identifier

AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110356RB-I00/ES/recolecta
Gobierno de Navarra//0011-1411-2020-000028
Impacto
OpenAlexGoogle Scholar
cited by count

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).

Description

Keywords

Proteomics, Prognostication

Department

Ciencias de la Salud / Osasun Zientziak

Faculty/School

Degree

Doctorate program

item.page.cita

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

item.page.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.

Licencia

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