Kazuhiro Aoki

This study shows ZO-1 moves between tight junctions and podosomes during collective cell migration, regulated by ERK activity, and contributes to cell adhesion and movement.

This paper introduces Opto-MDMi, a dual-lock optogenetic system that activates endogenous p53 with light, while suppressing basal activity in the dark.

The paper introduces Caterpie, a live cell labeling system using split fluorescent proteins to enable high-fidelity identification of multiple cell populations with 97% accuracy.

The paper develops a machine-learning framework to infer governing equations of mechano-chemical dynamics in epithelial migration from live-cell imaging data, revealing cell-cell heterogeneity in migratory rules.

This study shows how ErbB2 levels affect CDK4 inhibitor sensitivity and the timing of G1/S transition by altering c-Myc and cyclin D function in breast cancer cells.

This study identifies a novel feedback system regulating Cdk function through Spo12, a small disordered protein that inhibits PP2A, and shows its role in enhancing cell proliferation in fission yeast.

This study measures cyclin-CDK dissociation constants in living cells using FCCS with optimized fluorescent proteins, revealing insights into cyclin-CDK binding redundancy.

This study develops Opto-p53, a light-controllable p53 signaling tool, to regulate p53-dependent cell fate by inducing transcriptional activation, cell death, and cell cycle arrest.

The paper introduces a machine learning framework, ISI, to infer how organisms prioritize environmental signals from time-series data, applied to medaka fish gonadal development under natural conditions, revealing dynamic signal importance and gene expression correlations.

The paper uses a topology-based theory to predict and validate independent control of G2-M and G1-S checkpoints in fission yeast cell cycle by analyzing CDK-cyclin complex dynamics.

This study examines how photothermal therapy affects ERK signaling and intercellular communication in tumor spheroids using FRET sensors and deep learning.

The paper uses live imaging and mathematical modeling to show how self-organization of cell turnover in mouse testes sustains sperm production through phase waves and retinoic acid signaling.

This paper shows that bow-tie architecture emerges in evolving feedforward networks due to weak initial molecular interactions, not adaptive advantages.

This study applies the SLIPT system to fission yeast to perturb cell cycle-related proteins with improved temporal resolution.

The paper introduces MTA to decode cell edge velocity from Rho GTPase activities using pseudo-simultaneous observations, showing coordinated regulation by Cdc42, Rac1, and RhoA.

The paper develops a genetic tool for tardigrades to study anhydrobiosis by enabling live imaging of protein dynamics.

This study introduces a red/far-red light-responsive optogenetic system in C. elegans to manipulate cell signaling without blue light avoidance behavior.

The paper develops a deep-learning-based pipeline for segmenting and tracking cells in 3D brain imaging data, achieving high accuracy across different conditions and datasets.

This paper introduces a chemogenetic platform that enables rapid, reversible, and repeatable control of plasma membrane protein translocation using a novel engineered tag and ligand pair.

The paper improves a PCB synthesis system for a PhyB-PIF optogenetic tool, enabling stable expression and light-inducible dimerization in cells.