Y. Cui

The paper identifies epigenetic drivers of esophageal squamous cell carcinoma through multi-omics analysis, revealing hypomethylation patterns and non-canonical WNT signaling activation.

This study identifies TGF-β1 signaling's role in chromatin remodeling that drives glycolysis in pathogenic TH17 cells through epigenetic regulation of metabolic regulators.

This study characterizes PsBCAT, a branched-chain amino acid aminotransferase from Pseudomonas sp., showing broad substrate specificity and high activity, and demonstrates its application in efficient chiral amino acid synthesis.

This study identifies novel and validated QTLs for fiber quality traits in Upland cotton using a paternal backcross population and RILs, with some QTLs explaining over 10% of phenotypic variation.

The paper estimates recombination scaled effective population size in 21 bacterial species and finds only two show signs of panmixia, suggesting panmixia is unstable in bacteria.

The paper analyzes genomic data from 1,103 Vibrio parahaemolyticus isolates to show recent genetic mixing among four populations due to increased human-mediated dispersal.

This study identifies SP1 as a target of artificial selection in silkworms that enhances egg hatchability by improving nitrogen utilization and biosynthesis pathways.

This paper introduces a method using sinusoidal voltage protocols to rapidly characterize ion channel kinetics, demonstrating improved predictive models of ion currents in hERG channels.

The paper improves the generation of virtual populations in QSP models by using alternative optimization algorithms and objective functions to reduce the number of required virtual patients while maintaining diversity.

This study uses optical tweezers to analyze the mechanochemistry of SpoIIIE, revealing phosphate release as the force-generating step and a bi-phasic force-velocity relationship.

This paper introduces a method to visualize the cell-material interface at nanometer resolution using FIB-SEM, enabling detailed study of cell-material interactions.

This study uses nanostructured substrates to control membrane curvature in live cells and finds that CME proteins prefer positive curvature, while other proteins do not.