20.500.12556/DiRROS-19503 Common gene expression patterns in environmental model organisms exposed to engineered nanomaterials a meta-analysis The use of omics is gaining importance in the field of nanoecotoxicology; an increasing number of studies are aiming to investigate the effects and modes of action of engineered nanomaterials (ENMs) in this way. However, a systematic synthesis of the outcome of such studies regarding common responses and toxicity pathways is currently lacking. We developed an R-scripted computational pipeline to perform reanalysis and functional analysis of relevant transcriptomic data sets using a common approach, independent from the ENM type, and across different organisms, including Arabidopsis thaliana, Caenorhabditis elegans, and Danio rerio. Using the pipeline that can semiautomatically process data from different microarray technologies, we were able to determine the most common molecular mechanisms of nanotoxicity across extremely variable data sets. As expected, we found known mechanisms, such as interference with energy generation, oxidative stress, disruption of DNA synthesis, and activation of DNA-repair but also discovered that some less-described molecular responses to ENMs, such as DNA/RNA methylation, protein folding, and interference with neurological functions, are present across the different studies. Results were visualized in radar charts to assess toxicological response patterns allowing the comparison of different organisms and ENM types. This can be helpful to retrieve ENM-related hazard information and thus fill knowledge gaps in a comprehensive way in regard to the molecular underpinnings and mechanistic understanding of nanotoxicity. gene expression nanomaterials true false true Angleški jezik Ni določen Neznano 2024-07-19 03:41:32 2024-07-19 13:29:56 2024-07-20 04:03:06 0000-00-00 00:00:00 2020 0 0 str. 335-344 no. 1 Vol. 54 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2019-11-22 577.2 0013-936X 10.1021/acs.est.9b05170 5246799 RAZ_Burkard_Michael_2020.pdf RAZ_Burkard_Michael_2020.pdf 1 3F12B189B616CE6F9B7A26351D5B376D d96d9a66603aae57aecd003846c9892fdb35e08161c3b799210e47f3ac4fd14d d483a6ec-45b1-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27006 https://doi.org/10.1021/acs.est.9b05170 0 ef4a1b44-45b1-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27007 Nacionalni inštitut za biologijo 0 0 0