Hongjun Fu

This paper presents an end-to-end framework for single-cell whole-transcriptome spatial profiling of post-mortem human brain tissue, improving library quality and enabling cross-sample harmonization.

This study shows that DAP12 deficiency reduces tau-induced inflammation and myelin loss in mice, despite increased tau pathology, by altering microglia-oligodendrocyte interactions.

The paper investigates cell-to-cell communication in Alzheimer's disease to characterize disease biology and suggest new avenues for therapeutic intervention.

STREAM infers enhancer-driven gene regulatory networks from single-cell RNA-seq and ATAC-seq data, showing improved performance in TF recovery and enhancer-gene discovery.

ssREAD is a database that compiles single-cell and spatial RNA-seq data for Alzheimer's Disease, offering analysis tools for integrative studies.

This study uses spatial transcriptomics to identify gene signatures in the human temporal cortex linked to Alzheimer's pathology.

RESEPT uses deep learning to visualize and characterize tissue architecture from spatial transcriptomics data, revealing pathological structures in Alzheimer's and glioblastoma samples.

scGNN introduces a graph neural network framework for scRNA-Seq analyses, improving gene imputation and cell clustering on benchmark datasets and revealing disease-related neural development in Alzheimer's disease.

scREAD is a database that integrates and provides analysis of scRNA-Seq and snRNA-Seq datasets from Alzheimer's disease human and mouse models.

The paper uses MRI and TBM to show that tau pathology spread in a mouse model correlates with brain volume loss but not neuronal loss in specific regions.