H. Jeon

Fluorescent Chiral Quantum Dots to Unveil Origin-Dependent Exosome Uptake and Cargo Release

This study uses chiral quantum dots to investigate origin-dependent exosome uptake and cargo release mechanisms in different recipient cells.

Combinatorial CRISPR screen reveals FYN and KDM4 as targets for synergistic drug combination for treating triple negative breast cancer

The paper identifies FYN and KDM4 as synergistic targets for enhancing TKI efficacy in triple negative breast cancer through CRISPR screens and mechanistic analysis.

Chirality-Enhanced Transport and Drug Delivery of Graphene Nanocarriers to Tumor-like Cellular Spheroid

This study shows that left-handed graphene quantum dots (L-GQDs) have higher diffusion and drug delivery efficacy in tumor-like spheroids compared to right-handed D-GQDs.

Label-free and high-throughput removal of residual undifferentiated cells from iPSC-derived spinal-cord progenitor cells

This study removes residual undifferentiated iPSCs from spinal-cord progenitor cells using size-based microfluidic separation, reducing OCT4-positive cells without affecting viability.

Cryo-EM structure of a RAS/RAF recruitment complex

The paper presents cryo-EM structures of a KRAS/BRAF/MEK1/14-3-3 complex, showing KRAS binding to BRAF's Ras-binding domain without activating it, suggesting stabilization of a pre-activation intermediate as a therapeutic target.

The Phytophthora capsici RxLR effector CRISIS2 has roles in suppression of PTI and triggering cell death in host plant

This study identifies CRISIS2, an RxLR effector from Phytophthora capsici, which suppresses plant immunity by interacting with PMA and BAK1, leading to cell death and enhanced pathogen virulence.

Mosaic receptor-binding domain nanoparticles induce protective immunity against SARS-CoV-2 challenges

This paper develops a mosaic nanoparticle vaccine, 6RBD-np, that induces full protection against SARS-CoV-2 wild type and Delta variants in mice.

Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: the Multi-Targeting Drug DREAM Challenge

The paper reports on a DREAM Challenge to predict multi-target kinase inhibitors for RET-based tumors and Tauopathy, using neural network-based machine learning approaches.