Enikő Zakar‐Polyák

The paper compares transcriptomic and proteomic estimates of sample-specific protein-protein interaction networks, finding similar size-adjusted characteristics and time-related trends but differing rates of change.

This study reprograms human dental pulp stem cells into neurons more rapidly and efficiently than fibroblasts, using a lentiviral vector and single-nucleus RNA sequencing to characterize the process.

The paper develops cell-type-specific transcriptomic aging clocks using single-nuclei RNA sequencing data from human prefrontal cortex tissue, showing distinct aging patterns across cell types.