Maulik K. Nariya

This study compares cell-cycle gene expression dynamics and mRNA kinetics across mouse and human pluripotent systems, revealing species-specific differences in transcriptional complexity and oscillatory control.

The paper develops SpaceCycle to infer cell-cycle phases and oscillatory gene expression from spatial transcriptomic data, revealing spatial and temporal patterns of proliferation in tumors.

The paper uses single-cell multiomics to analyze mRNA metabolism and chromatin accessibility dynamics during the cell cycle, revealing oscillatory patterns and regulatory mechanisms.

This study introduces paired evaluation to improve performance estimation of machine learning models in drug response and disease severity prediction, showing up to 30% variation in performance estimates based on test data choice.

MCMICRO processes multiplexed tissue images into single-cell data, demonstrating its versatility across different tissues and imaging platforms.

This study shows that protein turnover reduces the switch-like behavior of PTM cycles and highlights the impact of E3 ligase crosstalk on protein expression changes.