组学
纳米医学
蛋白质组学
代谢组学
计算生物学
系统生物学
脂类学
计算机科学
生物信息学
纳米技术
生物
纳米颗粒
生物化学
材料科学
基因
作者
Yasmin Abdelkader,Luis Perez-Davalos,Richard D. LeDuc,René P. Zahedi,Hagar I. Labouta
标识
DOI:10.1016/j.addr.2023.114992
摘要
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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