Qi Wang

This study develops a high-throughput platform using human cerebral organoids to screen for compounds that reverse HSV-1-induced neuroinflammation biomarkers associated with Alzheimer's disease.

This paper uses an interpretable deep learning framework to analyze transcriptomic data from Alzheimer's disease brain tissues, identifying gene signatures and sex-specific modules associated with microglia activation and neuronal loss.

The paper provides a public resource of single nucleus RNA sequencing data and multiscale networks from Alzheimer's disease and non-disease individuals, linking genetic variants to molecular features and revealing novel disease biology.

This study shows Src kinase is upregulated and phosphorylated in Alzheimer's disease, interacts with Tau, and may be a therapeutic target.

The paper introduces a method to multiplex reprogram somatic cells into iPSCs and estimates donor contributions using pooled sequencing and SNPs, finding consistent reprogramming ability across donors.

The paper finds reduced PIN1 gene expression in female Alzheimer's patients correlates with cognitive decline and neuropathological features, suggesting it as a potential biomarker for AD risk in women.

The paper investigates the association between mitochondrial variant MT:10398A>G and heteroplasmy in brain tissue and lymphoblastoid cell lines, identifying its role in mitochondrial function and disease phenotypes.

The paper uses deep learning to analyze RNA-seq data from Alzheimer's disease brain donors, identifying transcriptomic signatures linked to neuropathology and clinical severity.