György Marko‐Varga

The paper develops an automated FFPE deparaffinization workflow to improve protein yield and reproducibility in melanoma studies.

The paper identifies phosphoproteomic changes in Huntington's disease patient-derived neurons, revealing dysregulated post-translational modifications and potential compensatory mechanisms.

This study integrates digital pathology and proteomics to analyze metastatic mucinous colorectal carcinoma, revealing immune evasion and chemoresistance mechanisms through spatial multi-omics data.

This study investigates how SIRT3 inhibition affects proteomic and acetylomic profiles in lung and breast cancer cell lines, revealing context-dependent metabolic responses.

This study integrates histopathology and proteogenomic data from melanoma metastases to identify subtypes and risk factors, offering a basis for personalized treatment strategies.

This paper identifies potential drug targets and predicts treatment efficacy and resistance in melanoma subtypes using proteogenomic data and drug sensitivity analysis.

The paper identifies six proteins that predict response to immune checkpoint therapy across three melanoma cohorts and correlate with patient survival.

This study identifies seven age-associated ECM proteins with increased expression in human lung tissue and demonstrates age-related differences in specific lung compartments.

This study shows that induced neurons from Huntington's disease patients have impaired autophagy in neurites, independent of protein aggregation, and that HTT is critical for neuronal autophagy.

The paper compares protein and RNA expression levels in human and chimpanzee forebrain progenitor cells, finding that protein expression differences are more common and less correlated with RNA levels.