2008
DOI: 10.2174/138920208786847962
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Toxicogenomics to Improve Comprehension of the Mechanisms Underlying Responses of In Vitro and In Vivo Systems to Nanomaterials: A Review

Abstract: Engineered nanomaterials are commonly defined as materials with at least one dimension of 100 nanometers or less. Such materials typically possess nanostructure-dependent properties (e.g., chemical, mechanical, electrical, optical, magnetic, biological), which make them desiderable for commercial or medical application. However, these same properties may potentially lead to nanostructure-dependent biological activity that differs from and is not directly predicted by the bulk properties of the constitutive ch… Show more

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Cited by 57 publications
(31 citation statements)
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References 88 publications
(102 reference statements)
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“…Others have found low doses of Au NPs to alter cell migration and proliferation, stem cell differentiation, and membrane receptor internalization (13)(14)(15)(16). Many chemicals that trigger changes to cellular signaling pathways and induce molecular responses elicit no acute toxicological response (17). Therefore, a more nuanced description of NP effects beyond "toxic" or "not toxic" is needed.…”
mentioning
confidence: 99%
“…Others have found low doses of Au NPs to alter cell migration and proliferation, stem cell differentiation, and membrane receptor internalization (13)(14)(15)(16). Many chemicals that trigger changes to cellular signaling pathways and induce molecular responses elicit no acute toxicological response (17). Therefore, a more nuanced description of NP effects beyond "toxic" or "not toxic" is needed.…”
mentioning
confidence: 99%
“…The exact determination of these effects still remains to be clearly identified, although intrinsic physicochemical characteristics of bio-based nanostructures such as size, surface nature and dispersion state (aggregation or agglomerated) seem to be of outmost importance. A tool that could contribute to the explanation of nanostructures' modes of action and potential nanotoxicity would be the use of toxicogenomics in combination with traditional approaches and other-omic technologies (i.e., proteomics and metabolomics) [2,125]. In particular, systems biology technology has been developed to integrate all information at mRNA, protein and metabolite levels.…”
Section: Discussionmentioning
confidence: 99%
“…This can generate pathway information and provide the capacity to measure subtle perturbations of pathways caused by nanostructures [132]. For instance, the measurement of the pattern of gene expression levels upon exposure to nanostructures can provide useful information about the mechanism of action of bio-based nanostructures [125]. Therefore, it is fundamental to understand the complex in vitro, in vivo and in silico biological systems data integration and computational modeling.…”
Section: Discussionmentioning
confidence: 99%
“…(Soenen et al, 2011) Transcriptomic studies can help to elucidate the molecular mechanisms involved in NP response and pinpoint key genes able to predict the toxicity or the genetic susceptibility to different NP properties. (Nuwaysir et al, 1999, Aardema and MacGregor, 2002, Poma and Di Giorgio, 2008 This research field, coined nanotoxicogenomics, will further our understanding on nanotoxicity mechanisms. (Tino et al, 2014) High-throughput approaches like microarrays or next generation sequencing can be combined with 'gene by gene' techniques, mainly qPCR, which are highly quantitative and sensitive to interrogate a relatively small number of transcripts in a larger set of samples.…”
Section: Introductionmentioning
confidence: 99%
“…However, these mechanistic cues should be confirmed by post-hoc A c c e p t e d M a n u s c r i p t histological analysis or specific genetic experiments to test the importance and significance of the pathways identified. (Poma and Di Giorgio, 2008, Elingarami et al, 2013, Tino et al, 2014 Nanotoxicogenomic studies can be performed in nanoparticle-treated cells, simple invertebrates (Poynton et al, 2012, Starnes et al, 2016 or more complex vertebrates (Truong et al, 2013, Teeguarden et al, 2014. Invertebrate models share many biological traits with…”
Section: Introductionmentioning
confidence: 99%