Xiao‐Jun Tian

This study introduces a CRISPRi-based controller to mitigate Winner-Take-All behavior in synthetic gene circuits by promoting balanced module activation through negative feedback.

The paper introduces a recombinase-based control strategy to reduce resource competition in synthetic gene circuits, demonstrating its effectiveness through computational and experimental methods.

This paper presents three antithetic feedback control strategies to reduce noise in gene circuits experiencing resource competition and demonstrates the effectiveness of the NCR controller through simulations and FDT analysis.

This paper introduces a method using liquid-liquid phase separation to stabilize synthetic gene circuits against growth fluctuations by maintaining local transcription factor concentration.

This study investigates how growth feedback affects gene circuit dynamics, identifying failure mechanisms and resilient topologies.

This study investigates how resource competition affects gene expression noise and identifies strategies to control it using feedback controllers and orthogonal resources.

The paper reports oscillatory behavior in a self-activation gene circuit induced by nutrient-modulating growth feedback and validates it with a mathematical model.

The paper demonstrates a 'winner-takes-all' resource competition in synthetic gene circuits, showing how it redirects cell fate transitions and proposes a division of labor strategy to mitigate its effects.

This study shows growth feedback affects memory gene circuits differently based on network topology, with self-activation circuits losing memory faster than toggle switches.

The paper investigates how intermediate states in EMT affect cancer metastasis by using a hidden Markov model to show that more intermediate states accelerate the process.

This paper develops a modular Gibson assembly method for efficient and cost-effective CRISPR donor DNA construct generation, showing improved assembly efficiency compared to conventional methods.

The paper shows that TGF-β signaling duration is interpreted through pathway crosstalk that controls SNAIL1 expression.