Z. Su

This study shows that promoters and transcription factors coevolve antagonistically in animals and mutually in plants, leading to different transcriptional network transitions.

This paper constructs a multiscale model to compare the receptor binding kinetics of SARS-CoV-2 and SARS-CoV, showing slower association of SARS-CoV-2 with ACE2 and linking this to longer incubation periods and faster pandemic spread.

This study identifies adaptive divergence followed by population admixture as a source of additive genetic variance in evolutionarily important traits, showing a strong positive correlation between heritability and evolutionary importance.

The paper detects hydrogen evolution and absorption in plasma membrane vesicles of higher plants using spectrophotometry, gas chromatography, and H2 sensors, revealing bidirectional H2 activity.

This study shows that ANXA2 depletion increases CMHs in rickettsia and Ebola virus infections by disrupting BBB tight junctions.

The paper introduces Q-scores to quantify atom resolvability in cryoEM maps and validates their reproducibility across different labs.

Ribosolve rapidly determines 3D RNA-only structures using cryo-EM, chemical mapping, and Rosetta modeling, validated by multiple benchmarks and showing high accuracy.

This study generates triple knockout mice lacking Fut1, Fut2, and Sec1 to deplete H antigen, finding normal development and fertility despite the absence of the antigen.

The paper uses Structure-seq to analyze RNA structure changes in Arabidopsis shoots and roots under salt stress, finding tissue-specific structural and abundance correlations.

This study uses serial femtosecond X-ray crystallography to analyze HIV-1 Gag MA-IP6 microcrystals at ambient temperature, achieving high-resolution diffraction data.

This study shows myricetin reduces inflammation in LPS-induced RAW 264.7 macrophages and mouse models of acute lung injury by inhibiting NF-κB and MAPK pathways.

The paper compares selection pressures on human genes in cancer and normal cells using mutation-profile-based methods, finding differences in selection pressures and their impact on cancer gene classification.