W. Zheng

The paper identifies key fungal traits influencing soil aggregation using a trait-based approach across 31 fungal strains.

This study demonstrates the use of carbon dots for efficient siRNA delivery and gene silencing in plants, achieving strong silencing of both transgenes and endogenous genes.

This study uses computational methods to analyze the dissociation pathways of Fis protein pairs from DNA, revealing two distinct mechanisms with different functional outcomes.

This paper introduces a Drosophila model of renal fibrosis induced by steroids, showing that aldosterone and ecdysone trigger excess extracellular matrix formation through a G-protein coupled receptor, not the canonical nuclear receptor.

This study identifies SKI-73 as a CARM1 chemical probe that reduces breast cancer cell invasion by altering epigenetic plasticity, distinct from CARM1 knockout effects.

This study characterizes the oligomerization of TorsinA, revealing helical filaments with a 8.5 subunit per turn periodicity and membrane tubulation activity.

The paper shows that genes for complex multicellularity have converged across distant fungal clades, indicating genomic constraints on evolutionary paths.

This study investigates the structure and function of the estrogen receptor alpha N-terminal domain using multiple techniques, revealing metastable contacts and their role in transactivation.

The paper tests a trade-off between growth rate and enzymatic investment in soil fungi, finding it only for high-cost enzymes.

This paper develops a coarse-grained computational model to simulate liquid-liquid phase separation of proteins, showing it can capture phase diagram changes due to mutations and domain presence.

The paper identifies 5hmC signatures in cfDNA as accurate biomarkers for detecting colorectal and gastric cancers, outperforming conventional markers and matching tissue biopsy results.

The paper introduces AWSEM-Amylometer, a computational method predicting amyloid propensity and fibril topology using an optimized folding landscape model, showing favorable performance compared to existing predictors.