Adrián E. Granada

The paper uses time-lapse microscopy to study drug-persister dynamics in cancer cells, finding that cell-state inheritance and pre-drug fate decisions shape population dynamics independent of single-cell kinetics.

This study shows that extracellular circadian communication coordinates the circadian clock and cell cycle, and its disruption impairs tissue growth and links circadian disruption to oncogenic processes.

This study identifies circadian clock subtypes in breast cancer and shows their impact on drug sensitivity.

This study identifies optimal drug treatment times by analyzing circadian rhythms and drug responses in cancer cells using high-throughput deep phenotyping.

The paper investigates how circadian period compensates for fluctuations in repressor protein turnover rates in single cells using fluorescently labeled proteins and mathematical modeling.

A stand-alone Python application with a graphical interface that detrends, removes amplitude envelopes and runs continuous wavelet analysis on noisy, non-stationary biological rhythms.