Literature transcriptomics review and data of Nanoparticle Induced Cellular Outcomes

By Irini Furxhi

University of Limerick

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Abstract

Data from in vitro differential gene expression analysis studies were gathered from peer-reviewed scientific literature. The studies gathered had a considerably variety of different human cell models including both primary cells and immortalized cell lines which exhibit varying responses.

For each of the studies reviewed, the combination of experimental exposure conditions, in vitro characteristics, such as cell line, cell type and tissue, physicochemical properties and outcomes are recorded separately in a datasheet, resulting in many extractions per study. If, for instance, another dose is administered during an experiment with all the other conditions unchanged, this was inserted as new instance within the dataset. Biological effects comprising a number of cellular responses were extracted and used as the outcome of interest to be simulated by the BN model. Effect occurrence was expressed in binary manner (Triggered, No effect).

References

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Publications

Sheehan, B., Murphy, F., Mullins, M., Furxhi, I., Costa, A., Simeone, F. and Mantecca, P. (2018), Hazard Screening Methods for Nanomaterials: A Comparative Study. International Journal of Molecular Sciences, 19(3), 649.

I. Furxhi, F. Murphy, B. Sheehan, M. Mullins and P. Mantecca. (2018). Predicting Nanomaterials toxicity pathways based on genome-wide transcriptomics studies using Bayesian networks. 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO). 1-4.

Cite this work

Researchers should cite this work as follows:

  • Irini Furxhi (2019), "Literature transcriptomics review and data of Nanoparticle Induced Cellular Outcomes," http://nanohub.org/resources/30099.

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