Y. Park

This paper describes an oral protein cocktail, LMN-201, for C. difficile infection, showing it achieves high cure rates and validates spirulina as a delivery platform.

This study identifies CXCL8/CXCR2 signaling as a driver of bone marrow fibrosis in myelofibrosis and shows its therapeutic potential through genetic and pharmacologic inhibition.

The paper shows that loss of SRSF1, a splicing factor, accelerates pancreatic cancer by disrupting homeostasis and enhancing KrasG12D-driven tumorigenesis.

This paper develops a framework for rapid bacterial species identification using 3D quantitative phase imaging and artificial neural networks, achieving 99.9% accuracy with single colony-forming units.

The paper develops a label-free 3D segmentation method using deep learning to analyze live cells and their organelles without exogenous labels.

This paper presents a method to analyze individual erythrocytes without reagents or actuators using microfluidics and quantitative phase imaging to measure morphological and biochemical properties.

This study uses AcePET to visualize tumor boundaries and reactive astrocytes in GBM, showing that targeting MCT1 improves survival by enabling complete resection of cancer stem cells.

The paper uses optical diffraction tomography to image and analyze 3D vasculogenesis in vitro without exogenous labeling.

This paper presents a label-free method for classifying bone marrow white blood cells using 3D refractive index tomograms and deep learning, achieving high accuracy in subtype classification.

This study identifies 109 host factors interacting with SARS-CoV-2 RNA and reveals their roles in antiviral or proviral functions through RNP capture and knockdown experiments.

The paper studies how the curvature of a PE-containing membrane affects cinnamycin adhesion, finding a linear correlation between curvature and adhesion strength.

This paper introduces a data-driven method for multiplexed microtomography using refractive index imaging to study endogenous subcellular dynamics without exogenous labels.

This study identifies RSK1 as a KRASG12D-specific interactor in PDAC and shows RSK1 mediates negative feedback on wild-type KRAS.

This paper introduces a label-free 3D imaging method for wound healing assays, enabling quantitative analysis of cell migration dynamics without exogenous labels.

This paper introduces a label-free volumetric imaging technique for thick-tissue slides with subcellular resolution, demonstrating its ability to visualize various tumor types and pathologies.

This paper develops a laser-activated drug implant for controlled release in the posterior eye, showing in vitro and in vivo drug release kinetics and safety.

This study shows that S100A8/A9 mediates the reprogramming of normal mammary epithelial cells by dynamic interactions with breast cancer cells, leading to epithelial-mesenchymal transition and altered cellular behaviors.

This study uses optical diffraction tomography to observe 3D changes in individual bacteria under antibiotic treatment, quantifying their responses to ampicillin.

This study measures 3-D morphology changes in human red blood cells under localized photothermal effects using gold nanorods and 3D quantitative phase imaging.

This paper introduces a rapid antimicrobial susceptibility test using laser speckle dynamics to detect bacterial growth in 2-4.5 hours.

This paper uses 3-D quantitative phase imaging to study platelet activation dynamics, finding that thrombin and TRAP stimulation leads to lower cellular concentration and dry mass compared to resting platelets.

This study investigates MEK1/2 pathway activity in high-grade serous ovarian carcinoma and shows that its inhibition reduces tumor growth but promotes stem-like properties, suggesting potential resistance mechanisms.

This paper reports a 1.6 Å crystal structure of the GTPase domain of LRRK2, revealing how PD-associated mutations at Arg-1441 impair nucleotide-dependent conformational dynamics.

This paper introduces a deep learning framework for 3D label-free tracking of immunological synapses using optical diffraction tomography and segmentation.

This paper introduces a deep learning method for label-free cell nucleus segmentation in time-lapse refractive index tomograms, validated across multiple experiments.

The paper identifies Dprs and DIPs as part of an ancient bilaterian receptor family involved in neural wiring, supported by phylogenetic, biochemical, and structural evidence.

This paper develops a label-free method using quantitative phase imaging and machine learning to screen for hematologic disorders with high accuracy.

This study compares 6-month angiographic and 2-year clinical outcomes between long and short chronic total occlusion (CTO) lesions after successful DES PCI, finding higher repeat PCI rates in long CTO lesions.

This paper quantifies lipid content in individual microalgal cells using refractive index tomography without chemical extraction.

This study measures 3D refractive index and membrane properties of live erythrocytes from Pelophylax nigromaculatus to compare interspecific differences with mammals.