New "Omics" Approaches as Tools to Explore Mechanistic Nanotoxicology
- PMID: 35583645
- DOI: 10.1007/978-3-030-88071-2_8
New "Omics" Approaches as Tools to Explore Mechanistic Nanotoxicology
Abstract
In the last years, "omics" approaches have been applied to study the toxicity of nanomaterials (NM) with the aim of obtaining insightful information on their biological effects. One of the most developed "omics" field, transcriptomics, expects to find unique profiles of differentially-expressed genes after exposure to NM that, besides providing evidence of their mechanistic mode of action, may also be used as biomarkers for biomonitoring purposes. Moreover, several NM have been associated with epigenetic alterations, i.e., changes in the regulation of gene expression caused by differential DNA methylation, histone tail modification and microRNA expression. Epigenomics research focusing on DNA methylation is increasingly common and the role of microRNAs is being better understood, either promoting or suppressing biological pathways. Moreover, the proteome is a highly dynamic system that changes constantly in response to a stimulus. Therefore, proteomics can identify changes in protein abundance and/or variability that lead to a better understanding of the underlying mechanisms of action of NM while discovering biomarkers. As to genomics, it is still not well developed in nanotoxicology. Nevertheless, the individual susceptibility to NM mediated by constitutive or acquired genomic variants represents an important component in understanding the variations in the biological response to NM exposure and, consequently, a key factor to evaluate possible adverse effects in exposed individuals. By elucidating the molecular changes that are involved NM toxicity, the new "omics" studies are expected to contribute to exclude or reduce the handling of hazardous NM in the workplace and support the implementation of regulation to protect human health.
Keywords: Epigenomics; Nanomaterials; Proteomics; Toxicogenomics; Transcriptomics; microRNAs.
© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.
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References
-
- Aebersold R, Agar JN, Amster IJ, Baker MS, Bertozzi CR, Boja ES, Costello CE, Cravatt BF, Fenselau C, Garcia BA, Ge Y, Gunawardena J, Hendrickson RC, Hergenrother PJ, Huber CG, Ivanov AR, Jensen ON, Jewett MC, Kelleher NL, Kiessling LL, Krogan NJ, Larsen MR, Loo JA, Ogorzalek Loo RR, Lundberg E, MacCoss MJ, Mallick P, Mootha VK, Mrksich M, Muir TW, Patrie SM, Pesavento JJ, Pitteri SJ, Rodriguez H, Saghatelian A, Sandoval W, Schlüter H, Sechi S, Slavoff SA, Smith LM, Snyder MP, Thomas PM, Uhlén M, Van Eyk JE, Vidal M, Walt DR, White FM, Williams ER, Wohlschlager T, Wysocki VH, Yates NA, Young NL, Zhang B. (2018) How many human proteoforms are there? Nat Chem Biol 14(3):206–214. https://doi.org/10.1038/nchembio.2576 . 29443976
-
- Ahmadi H, Ramezani M, Yazdian-Robati R, Behnam B, Razavi Azarkhiavi K, Hashem Nia A et al (2017 Sep 25) Acute toxicity of functionalized single wall carbon nanotubes: a biochemical, histopathologic and proteomics approach. Chem Biol Interact 275:196–209 - DOI
-
- Ak G, Tomaszek SC, Kosari F, Metintas M, Jett JR, Metintas S, Yildirim H et al (2015) microRNA and mRNA features of malignant pleural mesothelioma and benign asbestos-related pleural effusion. Biomed Res Int 635748:1–8 - DOI
-
- Alazzam A, Mfoumou E, Stiharu I, Kassab A, Darnel A, Yasmeen A, Sivakumar N, Bhat R, Al MA (2010) Identification of deregulated genes by single wall carbon-nanotubes in human normal bronchial epithelial cells. Nanomedicine 6:563–569 - DOI
-
- Ankley GT, Bennett RS, Erickson RJ, Hoff DJ, Hornung MW, Johnson RD et al (2010) Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment. Environ Toxicol Chem 29(3):730–741. https://doi.org/10.1002/etc.34 - DOI - PubMed
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