Diana-Patricia Danciu

The paper develops a stochastic framework to infer regulatory mechanisms from population-level variability in neural stem cell dynamics, showing that variance patterns reveal distinct regulatory processes.

This study identifies SFRP1 as a therapeutic target for glioblastoma by revealing its role in reprogramming tumor methylomes and improving survival in mouse models.

This study uses mathematical models to analyze regulatory feedback mechanisms in adult neurogenesis, finding that neural stem cells predominantly regulate lineage dynamics.

The paper develops a mathematical model to estimate stem cell numbers and identify functional heterogeneities in fish gill growth using a Markov model and stochastic simulations.

The paper identifies distinct homeostatic and growth adult stem cell populations in medaka gills, showing their spatial separation and functional specialization.