Article ; Online: Omics approaches for the assessment of biological responses to nanoparticles.
Advanced drug delivery reviews
2023 Volume 200, Page(s) 114992
Abstract: Nanotechnology has enabled the development of innovative therapeutics, diagnostics, and drug delivery systems. Nanoparticles (NPs) can influence gene expression, protein synthesis, cell cycle, metabolism, and other subcellular processes. While ... ...
Abstract | Nanotechnology has enabled the development of innovative therapeutics, diagnostics, and drug delivery systems. Nanoparticles (NPs) can influence gene expression, protein synthesis, cell cycle, metabolism, and other subcellular processes. While conventional methods have limitations in characterizing responses to NPs, omics approaches can analyze complete sets of molecular entities that change upon exposure to NPs. This review discusses key omics approaches, namely transcriptomics, proteomics, metabolomics, lipidomics and multi-omics, applied to the assessment of biological responses to NPs. Fundamental concepts and analytical methods used for each approach are presented, as well as good practices for omics experiments. Bioinformatics tools are essential to analyze, interpret and visualize large omics data, and to correlate observations in different molecular layers. The authors envision that conducting interdisciplinary multi-omics analyses in future nanomedicine studies will reveal integrated cell responses to NPs at different omics levels, and the incorporation of omics into the evaluation of targeted delivery, efficacy, and safety will improve the development of nanomedicine therapies. |
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MeSH term(s) | Humans ; Genomics/methods ; Proteomics/methods ; Computational Biology/methods ; Metabolomics/methods ; Nanoparticles |
Language | English |
Publishing date | 2023-07-05 |
Publishing country | Netherlands |
Document type | Journal Article ; Review ; Research Support, Non-U.S. Gov't |
ZDB-ID | 639113-8 |
ISSN | 1872-8294 ; 0169-409X |
ISSN (online) | 1872-8294 |
ISSN | 0169-409X |
DOI | 10.1016/j.addr.2023.114992 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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