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Chronic Inflammation Prediction for Inhaled Particles, the Impact of Material Cycling and Quarantining in the Lung Epithelium [Tube_TiO2_NP]

ABSTRACT: In this study, using advanced microscopy, in vivo/in vitro omics experiments and in silico molecular modelling, the long-lasting response to a single exposure of different lung cell types to nanomaterial was determined. The information was further used to build a predictive algorithm that would allow identification of nanomaterials that have the potential to induce inflammation.

ORGANISM(S): Mus musculus

PROVIDER: GSE157855 | GEO | 2020/09/12

REPOSITORIES: GEO

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Chronic Inflammation Prediction for Inhaled Particles, the Impact of Material Cycling and Quarantining in the Lung Epithelium [DQ_TiO2_NP]

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Chronic Inflammation Prediction for Inhaled Particles, the Impact of Material Cycling and Quarantining in the Lung Epithelium

Project description:This SuperSeries is composed of the SubSeries listed below.

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Chronic Inflammation Prediction for Inhaled Particles, the Impact of Material Cycling and Quarantining in the Lung Epithelium

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