Associate Professor of Biophysics and Physics
qiongy@umich.eduOffice Information:
3301 Chemistry
phone: 734-764-4669
Current Highlighted Work and Publications

Nuclear-cytoplasmic compartmentalization promotes robust timing of mitotic events by cyclin B1-Cdk1
Gembu Maryu, Qiong Yang
Cell Reports 2022 (In Press)
The cyclin-dependent kinase (Cdk1) oscillator is widely characterized in homogenized cytosolic extracts, leaving unclear the impact of nucleocytoplasmic compartmentalization. Here, by developing a Förster resonance energy transfer (FRET) biosensor, we track Cdk1 spatiotemporal dynamics in reconstituted nucleus-present and nucleus-absent cells side-by-side and find compartmentalization significantly modulates clock properties previously found in bulk studies. While nucleus-absent cells display highly tunable frequency, the nucleus-present cells maintain...
See MoreIn vitro cell cycle oscillations exhibit a robust and hysteretic response to changes in cytoplasmic density
Minjun Jin, Franco Tavella, Shiyuan Wang, and Qiong Yang
PNAS 2022
Cells control the properties of the cytoplasm to ensure proper functioning of biochemical processes. Recent studies showed that cytoplasmic density varies in both physiological and pathological states of cells undergoing growth, division, differentiation, apoptosis, senescence, and metabolic starvation. Little is known about how cellular processes cope with these cytoplasmic variations. Here, we study how a cell cycle oscillator comprising cyclin-dependent kinase (Cdk1) responds to changes in cytoplasmic density by systematically diluting or concentrating cycling
See MoreA robust and tunable mitotic oscillator in artificial cells
Ye Guan, Zhengda Li, Shiyuan Wang, Patrick M Barnes, Xuwen Liu, Haotian Xu, Minjun Jin, Allen P Liu, Qiong Yang
Abstract
eLife 2018
Single-cell analysis is pivotal to deciphering complex phenomena like heterogeneity, bistability, and asynchronous oscillations, where a population ensemble cannot represent individual behaviors. Bulk cell-free systems, despite having unique advantages of manipulation and characterization of biochemical networks, lack the essential single-cell information to understand a class of out-of-steady-state dynamics including cell cycles. Here, by encapsulating Xenopus egg extracts in water-in-oil microemulsions, we developed artificial...
See MoreIncoherent Inputs Enhance the Robustness of Biological Oscillators
Z. Li, Q. Yang
Cell Systems 5(1): 72-81 e4 (2017)
Robust biological oscillators retain the critical ability to function in the presence of environmental perturbations. Although central architectures that support robust oscillations have been extensively studied, networks containing the same core vary drastically in their potential to oscillate, and it remains elusive what peripheral modifications to the core contribute to this functional variation. Here, we have generated a complete atlas of two- and three-node oscillators computationally, then ...
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