Jishu Xu

A Multi-omic Atlas of Human Choroid Plexus in Alzheimer's Disease

This study creates a multi-omic atlas of the choroid plexus in Alzheimer's disease, identifying disease-associated cell state transitions and functional impairments.

Modeling Stimulus-Induced Stress Responses in Microglia-like Cells Using a Commercial iPSC-dCas9-KRAB Line

The paper evaluates the AICS-0090 dCas9-KRAB iPSC line for modeling microglia-like cells and their responses to disease-relevant stimuli, finding stimulus-specific transcriptomic and functional responses.

Uncovering Plaque-Glia Niches in Human Alzheimer's Disease Brains Using Spatial Transcriptomics

The paper uses spatial transcriptomics to analyze Aβ plaques and glial interactions in AD brains, finding that low Aβ areas show more neuronal loss and high-glia areas show inflammation and neurodegeneration.

Integrated Spatial and Single-Nuclei Transcriptomic Analysis of Long Non-Coding RNAs in Alzheimer's Disease

The paper identifies AD-associated lncRNAs with spatial and cell-type-specific expression patterns and shows OIP5-AS1 contributes to microglial activation in AD.

The YTHDF proteins shape the brain gene signatures of Alzheimer's disease

This study identifies YTHDF proteins as key regulators of Alzheimer's disease brain gene signatures through m6A-dependent and independent mechanisms.

Unravelling undiagnosed rare disease cases by HiFi long-read genome sequencing

The paper uses HiFi long-read sequencing to identify genetic variants in undiagnosed rare disease families, finding novel diagnoses in 13% of cases and candidate variants in 4.3%.

Unraveling Axonal Transcriptional Landscapes: Insights from iPSC-Derived Cortical Neurons and Implications for Motor Neuron Degeneration

This study uses microfluidic RNA-seq to analyze axonal transcriptomes from iPSC-derived neurons, revealing unique transcriptional features and highlighting the role of KIF1C in axonal health and neurodegeneration.

Dissecting the Human Leptomeninges at single-cell resolution

This study provides the first single-nuclei profiling of human leptomeninges, identifying cell types and gene expression patterns linked to Alzheimer's disease.

SR-TWAS: Leveraging Multiple Reference Panels to Improve TWAS Power by Ensemble Machine Learning

SR-TWAS improves TWAS power by combining multiple reference panels and regression methods through ensemble learning, identifying risk genes for Alzheimer's and Parkinson's diseases.

The kinesin motor KIF1C is a putative transporter of the exon junction complex in neuronal cells

This study identifies KIF1C as a neuronal transporter of the exon junction complex, showing its interaction with EJC components and RNA, and links its dysfunction to motoneuron degeneration.

Epigenome-wide study uncovers tau pathology-driven changes of chromatin organization in the aging human brain

This study identifies tau pathology-driven chromatin organization changes in aged human brains and shows these effects can be reversed with HSP90 inhibitors.

A molecular network of the aging brain implicates INPPL1 and PLXNB1 in Alzheimer’s disease

Molecular network analysis of RNA sequencing data from the aging human cortex identifies new Alzheimer's and cognitive decline genes.

A cortical immune network map identifies a subset of human microglia involved in Tau pathology

The paper identifies gene modules in human frontal cortex microglia associated with beta-amyloid and tau pathology in Alzheimer's disease.

A sensitized mutagenesis screen in Factor V Leiden mice identifies novel thrombosis suppressor loci

The paper identifies novel thrombosis suppressor loci using a sensitized mutagenesis screen in Factor V Leiden mice, finding F8 and the Tfpi/F3 axis, as well as Actr2, play key roles in thrombosis regulation.

Dissecting the role of non-coding RNAs in the accumulation of amyloid and tau neuropathologies in Alzheimer’s disease

The paper investigates the role of non-coding RNAs, specifically miRNAs and lincRNAs, in Alzheimer’s disease pathology by analyzing their expression in brain samples and integrating with mRNA data.