C. Yi

Bola-amphiphilic dendrimer empowers imatinib to target metastatic ovarian cancer stem cells via beta-catenin-HRP2 signaling axis

This study develops a nanoformulation Bola/IM to target metastatic ovarian cancer stem cells via the beta-catenin-HRP2 signaling axis, showing improved efficacy and synergy with cisplatin.

High-fidelity, generalizable light-field reconstruction of biological dynamics with physics-informed meta neural representation

This paper introduces LFMNR, a method for high-fidelity 3D reconstruction of biological dynamics using physics-informed neural representations and meta-learning, achieving improved resolution and speed.

Semantic redundancy-aware implicit neural compression for multidimensional biomedical image data

This paper introduces SINCS, a compression method for multidimensional biomedical images that improves efficiency and quality by leveraging semantic redundancy and saliency maps.

Adaptive-learning physics-aware light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics

This paper introduces Alpha-LFM, a physics-aware deep learning framework for 3D super-resolution imaging of living cells, achieving high resolution, speed, and low phototoxicity over long periods.

Spatially Resolved Transcriptomic Analysis of the Germinating Barley Grain

This study develops a spatial transcriptomics workflow to analyze gene expression during barley grain germination, revealing spatially specific gene expression patterns and their functional roles.

Engineering precise adenine base editor with infinitesimal rates of bystander mutations and off-target editing

This paper engineers a precise adenine base editor, ABE9, with reduced bystander mutations and off-target effects, enabling efficient and accurate A-to-G editing in mouse and rat embryos.

Single Cell App: An App for Single Cell RNA-sequencing Data Visualization, Comparison and Discovery

The Single Cell App enables visualization and comparison of scRNA-seq data, revealing study-specific gene expression patterns and cell-type specific responses.

Deep-learning on-chip DSLM enabling video-rate volumetric imaging of neural activities in moving biological specimens

This paper develops a deep-learning enhanced on-chip DSLM system for high-speed volumetric imaging of neural activity in moving Drosophila larvae.

A non-coding A-to-T Kozak site change related to the transmissibility of Alpha, Delta and Omicron VOCs

This study identifies two non-coding A-to-T mutations at the Kozak site of the N gene as potentially contributing to the transmissibility of Alpha, Delta, and Omicron SARS-CoV-2 variants.

View-channel-depth light-field microscopy: real-time volumetric reconstruction of biological dynamics by deep learning

This paper introduces a deep learning method to improve light-field microscopy, enabling high-speed, artifact-free volumetric imaging of biological processes.

Integrated characterization of SARS-CoV-2 genome, microbiome, antibiotic resistance and host response from single throat swabs

This study uses TRACE-seq to analyze single throat swabs, integrating SARS-CoV-2 genome, microbiome, antibiotic resistance, and host response data.

Understanding the effects of contact structures and information sharing on the FMD transmission among beef cattle farms

This study uses a network-based simulation model to show that combining direct and indirect contact increases FMD outbreaks among beef cattle farms, while effective information-sharing networks can prevent spread and reduce economic loss.

Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligence

This paper develops an AI tool for colorectal cancer diagnosis using histopathology images, achieving high accuracy and consistency across multiple centers.

STAT3 localizes in mitochondria-associated ER membranes instead of in mitochondria

The paper shows STAT3 localizes in mitochondria-associated ER membranes, not mitochondria, and other mitochondrial TFs also localize to MAMs.

Prognostic significances of interleukin-17-producing cells and Th17 cells in malignant cancers: a meta-analysis of the literatures

This meta-analysis evaluates the prognostic role of IL-17+ cells and Th17 cells in cancer, finding high IL-17+ cells correlate with worse survival, while Th17 cells show no significant effect.

Base-resolution mapping reveals distinct m1A methylome in nuclear- and mitochondrial-encoded transcripts

The paper develops a base-resolution m1A profiling method and identifies distinct m1A methylome classes in human nuclear and mitochondrial transcripts, showing functional roles in translation efficiency and mitochondrial mRNA regulation.