Guang‐Zhong Wang

The paper introduces snCED-seq, a method for isolating high-quality nuclei from FFPE tissues, showing improved RNA retention and gene detection compared to traditional methods.

The paper analyzes single-cell spatial transcriptomes of the macaque cortex to reveal non-random neuronal distribution and collaborative clustering patterns.

This study shows that feeding disruption in adult mice increases disease modules in the liver transcriptome before aging and disease onset, while calorie restriction reduces them.

This study uses snRNA-seq to analyze how post-mortem interval affects cellular components and gene expression in mouse brain tissues.

BrainCellR provides a standardized cell type nomenclature system for consistent classification and comparison across brain single-cell datasets.

This study evaluates how fixation and storage times affect nuclear transcriptomic profiles in FFPE brain tissues, finding that fixation time has a greater impact than storage time.

RNAlight identifies nucleotide features determining RNA subcellular localization using LightGBM and Tree SHAP, revealing sequence basis for distinct RNA localization patterns.

This study uses single-nucleus RNA sequencing to identify PD-specific cell states in MPTP-induced mouse brains, revealing changes in astrocytes, endothelial cells, and medium spiny neurons.

The paper introduces mvPPT, a missense variant pathogenicity predictor that outperforms existing tools in sensitivity and accuracy using gradient boosting and diverse feature sets.

The paper analyzes a baboon diurnal transcriptome atlas to show that 53.4% of genes are rhythmically expressed and that circadian gene networks exhibit daytime and nighttime modes with distinct biological functions.

The paper identifies shared circuit-level abnormalities between MECP2 transgenic monkeys and a subgroup of human autism patients, highlighting the need for a multimodal approach to study genetic effects in a primate model.