László Géza Puskás

The paper identifies seven genes in Drosophila melanogaster that suppress p53-induced apoptosis through insertional mutagenesis using the DEP transposon.

The paper develops patient-specific Boolean models of prostate cancer signaling networks to identify actionable targets for personalized treatment, finding dose-dependent effects of inhibitors on key targets.

The paper introduces a method using bacterial insertion sequences to clone and amplify transgenes in bacterial chromosomes, demonstrating stability and copy-number control in Escherichia coli.

The paper develops an automated patch clamp system using deep learning and image analysis to measure neurons in human and rodent brain slices.

The paper links perturbation transcriptomics data with cell viability phenotypes to identify cell death and proliferation signatures, improving drug sensitivity prediction.

This paper introduces a strain of E. coli that overexpresses rare tRNA genes to overcome codon bias, improving protein expression efficiency.

The paper identifies a novel human cortical GABAergic interneuron subtype with unique transcriptomic, morphological, and physiological features not observed in rodents.