Nancy Papalopulu

The paper shows that oscillatory co-expression of HES1 and HES5 allows hybrid states in a bistable transcription factor motif by enabling phase-locking and entrainment.

The paper introduces a framework for engineering tunable oscillatory protein expression using Tet-On and dTAG degron systems, demonstrating synchronous oscillations with the COD system.

This study shows that HES1 protein oscillations are necessary for ER+ breast cancer cells to re-enter the cell cycle, and disrupting these oscillations prevents reactivation of dormant cells.

This study shows NGN3 protein oscillations control timing of human pancreatic endocrine differentiation, not fate, through fold-change detection via an incoherent feedforward motif.

The paper investigates how cellular protrusions in mouse spinal cord neural progenitors enable long-distance Notch signaling, affecting HES5 expression patterns.

The paper shows that cell coupling compensates for altered Her6 dynamics in zebrafish neural progenitors, maintaining phenotypic robustness despite single-cell expression changes.

This paper introduces a Bayesian method to infer kinetic parameters of oscillatory gene regulation from single-cell time series data and demonstrates its effectiveness on murine neural progenitor cells.

The paper identifies spatially periodic HES5 microclusters in the mouse spinal cord during neurogenesis, showing their dynamic regulation by Notch signaling and their role in progenitor differentiation.

The paper shows that miR-9 levels increase stepwise during zebrafish neurogenesis through sequential activation of distinct pri-mir-9 loci, which helps overcome adaptation in Her6 dynamics.

The paper identifies autoregulatory and dual feedback gene network motifs in human tissues, showing their prevalence and conservation, suggesting they drive dynamical gene expression.

The paper shows that miR-9 optimizes noise in the Her6 oscillator, enabling cell state progression in zebrafish hindbrain neurogenesis.

The paper uses live imaging and mathematical modeling to show HES5 protein dynamics correlate with cell-state transitions and fate decisions in murine neurogenesis.

OscoNet improves upon Oscope by providing a statistical criterion for selecting oscillatory genes and a more accurate pseudo-time estimation method.