H. Cho

Transcriptional Profiling of D1-MSNs Reveals SIRT1-Dependent and -Independent Responses to Chronic Social Defeat Stress

This study uses cell-type-specific transcriptomics to show that SIRT1 modulates depression susceptibility in D1-MSNs through metabolic and circadian pathways under chronic social defeat stress.

Humans and marmosets share similar face recognition signatures in shape-based visual face discrimination behavior

The paper shows that humans and marmosets perform similarly in shape-based face recognition tasks, indicating shared high-level visual processing capabilities.

Molecular tension authenticates apoptotic cells being phagocytosed

The paper identifies molecular tension between phosphatidylserine and its receptors as a signal determining phagocytosis of apoptotic cells.

Altruistic feeding and cell-cell signaling during bacterial differentiation actively enhance phenotypic heterogeneity

This study shows that bacterial differentiation through altruistic feeding and cell-cell signaling increases phenotypic heterogeneity, enhancing population resilience to environmental changes.

Development of an orally bioavailable mSWI/SNF ATPase degrader and acquired mechanisms of resistance in prostate cancer

This paper develops an orally bioavailable PROTAC degrader of mSWI/SNF ATPases for prostate cancer and identifies resistance mechanisms through long-term treatment.

Revealing 3D cancer tissue structures using holotomography and virtual hematoxylin and eosin staining via deep learning

This paper develops a 3D virtual H&E staining method using holotomography and deep learning for cancer tissues, validated on colon and gastric cancer samples.

Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women

This study identifies a distinct lipidome signature in Korean women with ovarian cancer, showing early-stage alterations and a predictive panel of 17 lipids with 85% accuracy.

Albumin-binding RNAi Conjugate for Carrier Free Treatment of Arthritis

This paper develops an MMP13-targeting siRNA conjugate that preferentially accumulates in arthritic joints, reducing disease markers and outperforming current treatments.

Debottlenecking and reformulating feed media for improved CHO cell growth and titer by data-driven and model-guided analyses

The paper uses data-driven and model-guided analyses to optimize feed media for improved CHO cell growth and titer by identifying key amino acids and metabolic bottlenecks.

MARCH5-dependent NLRP3 ubiquitination is an essential step for NEK7 docking on the mitochondria

This study identifies MARCH5-dependent NLRP3 ubiquitination as essential for NEK7 mitochondrial docking during inflammasome assembly.

Baculoviral COVID-19 Delta DNA vaccine cross-protects against SARS-CoV2 variants in K18-ACE2 transgenic mice

This paper develops a baculoviral DNA vaccine targeting the SARS-CoV2 Delta variant, showing 100% survival against Delta and Omicron in mice, compared to 50% survival with the original vaccine.

Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables

This paper applies sparse identification of non-linear dynamics (SINDy) to discover and interpret CAR T-cell interaction dynamics with glioblastoma cells using latent variables.

The glutathione S-transferase Gstt1 is a robust driver of survival and dissemination in metastases

This study identifies Gstt1 as a critical driver of metastasis and dissemination in pancreatic cancer, showing its role in maintaining metastatic lesions and influencing the tumor microenvironment.

Life history strategies and niches of soil bacteria emerge from interacting thermodynamic, biophysical, and metabolic traits

The paper predicts life history traits of soil bacteria based on thermodynamic, biophysical, and metabolic traits, showing growth efficiency becomes more important later in plant growth.

Secretin channel-interactors prevent antibiotic influx during type IV pili assembly in P. aeruginosa

The paper identifies SlkA and SlkB as proteins that prevent antibiotic influx through the secretin channel during type IV pili assembly in P. aeruginosa by interacting with the outer membrane secretin complex.

A Combination Strategy of Solubility Enhancers for Effective Production of Soluble and Bioactive Human Enterokinase

This study develops a strategy using solubility enhancers to produce soluble and bioactive human enterokinase in bacteria.

Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models

The paper develops ENVIM, an Elastic Net Model-based method for predicting metabolites from microbiome data, showing improved accuracy over existing methods in oral, gut, and vaginal microbiome datasets.

Robust Characterization of Non-Invasive Post-Traumatic Osteoarthritis Mouse Model

This study characterizes a non-invasive mouse model of post-traumatic osteoarthritis by analyzing biochemical, biomechanical, and behavioral changes following mechanical knee loading.

Ultrapotent bispecific antibodies neutralize emerging SARS-CoV-2 variants

This study identifies ultrapotent bispecific antibodies that neutralize emerging SARS-CoV-2 variants by targeting multiple spike protein regions, showing efficacy in vitro and in a hamster model.

Interdependent Iron and Phosphorus Availability Controls Photosynthesis Through Retrograde Signaling

The paper shows that iron and phosphorus deficiency interact to control photosynthesis through retrograde signaling involving ascorbate transport and transcription factors.

CTCF-mediated Genomic Effects of BART Region on Epstein-Barr Virus Chromatin 3D Structure in Gastric Carcinoma Cells

This study investigates how CTCF binding at the BARTp site regulates EBV 3D genome structure and gene expression in EBVaGC cells, showing its role in DNA looping and viral infectivity.

Data-driven multiplexed microtomography of endogenous subcellular dynamics

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

A CRISPR Screen Identifies Myc-associated Zinc Finger Protein (MAZ) as an Insulator Functioning at CTCF boundaries in Hox Clusters

The paper identifies MAZ as an insulator functioning at CTCF boundaries in Hox clusters, contributing to genomic architecture during differentiation.

Matrix-targeted Nanoparticles for MMP13 RNA Interference Blocks Post-Traumatic Osteoarthritis.

This paper develops MMP13-targeted nanoparticles for RNA interference to treat post-traumatic osteoarthritis, showing significant reduction in MMP13 expression and cartilage damage in mouse models.

The Dynamic Landscape of Transcription Initiation in Yeast Mitochondria

This study investigates the conformational dynamics of yeast mitochondrial transcription initiation using single-molecule techniques, revealing dynamic transitions and backtracking behavior.

Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data

This paper uses a mathematical model to analyze CAR T-cell killing dynamics in glioma, showing dose-dependent effects on proliferation and exhaustion.

Mathematical modeling with single-cell sequencing data

This paper compares graph- and continuum-based mathematical models for cell state transitions using single-cell RNA-sequencing data in hematopoiesis and applies them to study acute myeloid leukemia pathogenesis.

Dynamic healing and remodeling of mandibular ramus in segmental mobility and cortical overlap after intraoral vertical osteotomy

This study examines 3D morphological changes in the mandibular ramus after IVRO, showing dynamic remodeling and association with immediate postoperative overlap patterns.

Deep-learning-based label-free segmentation of cell nuclei in time-lapse refractive index tomograms

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

Learning-based screening of hematologic disorders using quantitative phase imaging of individual red blood cells

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