Designed Nanomaterials-Assisted Proteomics and Metabolomics Analysis for In Vitro Diagnosis.

Autor: Wang Y; School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China., Li R; School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China., Shu W; School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China., Chen X; School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China., Lin Y; School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China., Wan J; School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China.
Jazyk: angličtina
Zdroj: Small methods [Small Methods] 2024 Jan; Vol. 8 (1), pp. e2301192. Date of Electronic Publication: 2023 Nov 03.
DOI: 10.1002/smtd.202301192
Abstrakt: In vitro diagnosis (IVD) is pivotal in modern medicine, enabling early disease detection and treatment optimization. Omics technologies, particularly proteomics and metabolomics, offer profound insights into IVD. Despite its significance, omics analyses for IVD face challenges, including low analyte concentrations and the complexity of biological environments. In addition, the direct omics analysis by mass spectrometry (MS) is often hampered by issues like large sample volume requirements and poor ionization efficiency. Through manipulating their size, surface charge, and functionalization, as well as the nanoparticle-fluid incubation conditions, nanomaterials have emerged as a promising solution to extract biomolecules and enhance the desorption/ionization efficiency in MS detection. This review delves into the last five years of nanomaterial applications in omics, focusing on their role in the enrichment, separation, and ionization analysis of proteins and metabolites for IVD. It aims to provide a comprehensive update on nanomaterial design and application in omics, highlighting their potential to revolutionize IVD.
(© 2023 Wiley-VCH GmbH.)
Databáze: MEDLINE
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