Overview
Our group is broadly interested in understanding the biological clock mechanisms that control the timing of events during the cell division cycle. In 2008, the Haase group proposed a new model in which a complex network of sequentially activated transcription factors regulates the precise timing of gene expression during the cell-cycle, and functions as a robust time-keeping oscillator. Greater than a thousand genes are expressed at distinct phases of the cycle, and the control network itself consists of ~20 components, so this dynamical system is far too complex to understand simply by biological intuition. We rely heavily on the expertise of the Harer group (Dept. of Mathematics, Duke University) for the analysis of complex data, and their understanding of dynamical systems. Using a collection of tools, including molecular genetics, genomics, mathematical models, and statistical inference, our groups aim to understand how the cell division clock works, how it might be perturbed in proliferative diseases such as cancer, and how the clock components might be targeted for new anti-tumor therapies. Qualitatively, the clock networks that control the yeast cell cycle look much like the networks controlling circadian rhythms in a variety of organisms. More recently, we have been using our experimental and quantitative approaches to investigate the function of circadian clocks, as well as clocks that control the division and development of pathogenic organisms such as P. falciparum and P. vivax, the causative agents of malaria.
Current Appointments & Affiliations
Recent Publications
Generalized measures of population synchrony.
Journal Article Mathematical biosciences · February 2025 Synchronized behavior among individuals, broadly defined, is a ubiquitous feature of populations. Understanding mechanisms of (de)synchronization demands meaningful, interpretable, computable quantifications of synchrony, relevant to measurements that can ... Full text CiteAutoGater: a weakly supervised neural network model to gate cells in flow cytometric analyses.
Journal Article Scientific reports · October 2024 Flow cytometry is a useful and efficient method for the rapid characterization of a cell population based on the optical and fluorescence properties of individual cells. Ideally, the cell population would consist of only healthy viable cells as dead cells ... Full text CiteAuthor Correction: Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics.
Journal Article Nature communications · March 2024 Full text CiteRecent Grants
Tri-Institutional Molecular Mycology and Pathogenesis Training Program
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2024 - 2029Training Program in Developmental and Stem Cell Biology
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2001 - 2027Cell and Molecular Biology Training Program
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2021 - 2026View All Grants