Iztok Urbančič

The paper pre-validates an animal-free method, InfiniteLungDT, which predicts chronic neutrophilic lung inflammation using in vitro data, achieving high accuracy in LOAEL determination.

HCR-Proxy maps RNA-proximal proteomes at subcompartmental resolution, revealing sequence-encoded protein partitioning in nucleolar condensates.

The paper identifies a class of condensation-prone RNAs during early development and reveals their sequence and structural features using deep learning.

This study shows that particulate matter exposure in vitro causes amyloid beta plaques and neurite shortening in neuron-like cells, resembling Alzheimer's disease features.

The paper quantifies how fluorescence lifetime responds to environmental changes in membrane order probes and highlights their sensitivity to biophysical properties.

This study shows that TiO2 nanotubes and MWCNTs induce different cancer-related changes in vitro, with TiO2 nanotubes disrupting microtubules and inducing binucleated cells, while MWCNTs activate the STING pathway.

The paper predicts nanomaterial-induced chronic inflammation using in vitro measurements and in silico modeling by identifying mechanisms of nanomaterial cycling and quarantining in lung cells.