Christopher Lischer

The paper identifies miRNAs regulated by SOX10 depletion in uveal melanoma and shows their role in tumor-suppressive pathways.

The paper identifies E2F transcription factors as potential druggable targets in uveal melanoma by analyzing SOX10's role and its downstream effects.

The paper identifies Clindamycin as a potential inhibitor of pyroptosis in tumor-associated macrophages by integrating network biology and pharmacophore modeling.

The paper presents a computational pipeline that combines machine learning and network analysis to predict self-tolerant tumor-associated antigens for immunotherapy in uveal melanoma.

The paper identifies miRNAs that enhance dendritic cell immunogenicity using RNA sequencing and systems biology, and provides a database for therapeutic miRNA-gene interactions.