Jiwoong Kim

The paper identifies germline mutations in complex I subunits as a driver of Warburg metabolism in oncocytic thyroid carcinoma through loss of heterozygosity.

This paper shows the gut microbiota regulates intestinal T cell development by directing vitamin A flux through a sequential pathway involving epithelial, myeloid, and T cells.

This study identifies microbiota-derived short-chain fatty acids as key mediators of Candida albicans colonization resistance in the gut.

This paper introduces ORBIT, an oligonucleotide-based genetic toolkit for Pseudomonas aeruginosa that enables rapid, precise, and high-throughput hypomorph screening of essential genes.

This study identifies an IL-17-DUOX2 axis that regulates C. albicans colonization and filamentation in the gut through interactions with candidalysin toxin.

This study identifies TDCA, a microbiota-derived bile acid, as a mediator that restores immune checkpoint therapy efficacy after antibiotic-induced hyporesponsiveness by enhancing CD8+ T cell antitumor immunity.

This study shows that the time of day affects cancer immunotherapy efficacy through a circadian clock-dependent chemokine axis in mice.

The paper identifies NVL as a target for cancer therapy, showing that its inhibition by MM17 and MM927 suppresses tumor growth through ribosome biogenesis disruption.

This study evaluates machine learning algorithms and feature selection stability in multi-omics microbiome datasets, finding that nonlinear models and multi-omics integration improve predictive performance and reproducibility.

This paper introduces MIDI, a model that predicts cancer drug response and explains drug-target interactions using an attention mechanism, outperforming existing methods in prediction and interpretability.

This study creates inducible EWSR1-FLI1 degron alleles in tumor cell lines to control fusion oncoprotein expression, showing reversible cell cycle arrest and tumor growth suppression in xenografts.

The paper analyzes WGS data of E. coli isolates to show that blaTEM gene amplification correlates with resistance to AMC and TZP but not SAM, highlighting the need for comprehensive analysis of genetic determinants in BL/BLI resistance.

MB-SupCon integrates microbiome and metabolomics data to improve prediction accuracy in microbiome-only datasets, achieving high accuracy in predicting insulin resistance, sex, and race.

MetaPrism enables joint analysis of taxa and gene abundances in metagenomic data to identify potential biomarkers for therapeutic response prediction.

This study identifies circular RNAs encoded by human polyomaviruses that produce proteins and may contribute to viral pathogenesis.

This study identifies non-carbapenemase-producing CRE mechanisms in recurrent Enterobacterales infections driven by porin loss and β-lactamase gene amplification.

The paper predicts T cell and B cell immunogenic epitopes of SARS-CoV-2 using genomic data and compares them with SARS-CoV and MERS-CoV to identify immune vulnerability patterns.

VAMPr predicts antibiotic resistance using genomic data by analyzing variant associations and building machine learning models.

This study identifies circE7, a circular RNA from HPV that is translated into E7 oncoprotein, contributing to cervical cancer progression.