Hana Imrichová

This study shows that SERDs induce ER SUMOylation, which recruits co-repressors to suppress transcription, rather than relying on ER degradation for their activity.

The paper identifies iDegs, which enhance IDO1 degradation via the native CRL2KLHDC3 pathway, reducing kynurenine formation and offering new therapeutic potential for cancer.

The paper identifies inhibitor-induced kinase destabilization as a common phenomenon and reveals that it occurs through endogenous proteolytic mechanisms rather than classical ubiquitination.

The paper identifies functional E3 ligase hotspots and resistance mechanisms to small-molecule degraders using haploid genetics and deep mutational scanning.

The paper uses ChIP-seq meta-analysis to create high-quality enhancer training sets by identifying core transcription factor binding regions across multiple datasets.

Building gene regulatory networks from scRNA-seq and clustering cells on them identifies stable states robustly to batch effects, applied to mouse and human brain and to melanoma.

The paper introduces a computational pipeline, cisTarget, to identify functional non-coding mutations in cancer genomes by analyzing their impact on personalized gene regulatory networks.