Seung Y. Rhee

The paper experimentally determines subcellular localization of 234 metabolic enzymes in sorghum, providing a resource for metabolic organization studies.

This study identifies a physiological mechanism in a desert plant that enables survival in extreme heat through leaf cooling.

This study shows that the CO2 concentrating mechanism in cyanobacteria enhances the speed of the nitrogen deprivation response by increasing Rubisco carboxylation rates.

The paper introduces SPLASH, a reference-free algorithm for detecting sequence variation from RNA-seq data, and applies it to discover novel regulatory mechanisms in plant transcriptomes.

This study analyzes drought gene expression datasets and finds they are inconsistent, proposing classifiers to detect drought stress and advocating for standardized protocols.

This study identifies how phosphorus availability affects flowering time by reprogramming subcellular localization of bGLU25 and GRP7 in Arabidopsis and rice.

This study shows that satiety, TAX-4, and OSM-9 channels regulate C. elegans attraction to microbial fermentation products and their biosynthetic precursors.

The paper identifies single-cell transcriptional responses to drought in Sorghum bicolor and highlights shared regulatory mechanisms across cell types.

This study identifies FLOE1 as a regulator of water content and cytoplasmic viscosity in Arabidopsis embryos, linking molecular water control to cellular physical properties.

UnigeneFinder reduces transcriptome assembly redundancy and automates gene calling without a reference genome, improving accuracy for non-model organisms.

The paper analyzes 739 Thlaspi arvense accessions to uncover genetic variation and adaptation mechanisms, identifying genomic regions linked to agronomic traits and climate resilience.

The paper shows that RHM1 forms condensates called rhamnosomes, which are essential for UDP-rhamnose synthesis and plant organ development.

The paper creates a web tool to visualize and access genome function annotation data for 28 species, highlighting progress and gaps in gene function knowledge.

The paper introduces a platform to classify chemical cues by their chemosensory valence in C. elegans, identifying 37 plant small molecules that attract or repel wild-type worms.

QTG-Finder2 improves QTL causal gene prioritization in plants by using orthologs and additional features, achieving high recall in Sorghum and Setaria species.

QTG-Finder uses machine learning to prioritize causal genes within QTLs in Arabidopsis and rice by analyzing genomic and functional data.

This study identifies bivalent chromatin regulation on specialized metabolic genes in Arabidopsis thaliana, revealing a novel mechanism called kairostat that controls gene expression timing.