Kendall R. Van Keuren‐Jensen

This study shows that expressing G4C2 repeats in Drosophila mushroom bodies causes age-dependent TDP-43 pathology and dementia-like phenotypes, with Dlp/GPC6 playing a role in synaptic loss.

This paper evaluates combining expression-based surrogate variables and genotype-based principal components in differential expression analysis, finding the combined approach improves replicability and biological recall in ALS datasets.

This study profiles proteomic changes in iPSC-derived neurons exposed to Aβ42A, revealing AD-related pathways and validating findings in postmortem AD brain tissue.

This study uses multi-omic profiling of synaptosomes to identify molecular changes in C9-FTD, revealing disrupted synaptic pathways and localized cryptic transcripts.

SALRR provides a scalable platform for long-read RNA-seq analysis, identifying novel splice variants in human brain tissue.

This study shows ADAR2-mediated RNA editing promotes TDP-43 nuclear export and alters its RNA binding, contributing to neurodegenerative disease mechanisms.

The paper identifies extracellular vesicles (sEVs) from EBV-transformed B-cells as a vehicle for exporting host DNA and EBV EBER1 RNA, linking peripheral EBV infection to distal tissue signaling in MS.

The paper characterizes microglia-derived extracellular vesicles and non-vesicular particles under inflammatory conditions, showing distinct sialylation patterns and small RNA cargo linked to neuroinflammation.

This study provides a multiomics resource of cancer extracellular vesicles, showing correlations between LO proteins and prostate cancer progression, and demonstrating the feasibility of single-cell RNA-Seq on EVs.

This study performs APOE-stratified GWAS to uncover genetic mechanisms underlying Alzheimer's disease risk and response to therapies.

The paper profiles HLA immunopeptidomes and interactomes in microglia, identifying disease-associated epitopes and their interactions.

The paper identifies decreased SNCA expression in Parkinson's Disease blood samples after correcting for immune cell effects, suggesting it as a potential transcriptomic biomarker.

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.

The paper presents a multi-layered molecular dataset from iPSC-derived dopaminergic neurons to model Parkinson's disease genetic risk and provides a data browser for accessing these resources.

This study uses a Drosophila model to investigate TDP-43 proteinopathy in ALS and FTD, identifying shared and circuit-specific molecular targets.

The paper compares transcriptomic responses in skeletal muscle and extracellular vesicles after traditional and high-intensity exercise in young adults, finding more consistent gene responses to traditional exercise and unique microRNA responses to high-intensity training.

The paper identifies human-lineage-specific genomic elements, called CNCRs, and shows their enrichment in neurological disease genes and APOE intron-3 retention transcripts in Alzheimer's disease.

The paper identifies TDP-43 proteinopathy's impact on mRNA ribosome association, highlighting Dlp/GPC6 as a novel target in ALS.

The paper analyzes sncRNA-seq data from the PPMI cohort to identify miRNAs associated with Parkinson's disease progression and systemic inflammation.

This study characterizes urine cfDNA fragmentation patterns and shows they reflect sub-nucleosomal organization, with potential for cancer diagnostics.

The paper quantifies technical variability in whole blood transcriptome data from the PPMI study using pooled reference samples and describes the dataset's availability.

This study examines C9orf72 ALS/FTD patient-derived iPSC-microglia mono-cultures, finding they form RNA foci, have reduced C9orf72 protein, and show endosomal-lysosomal dysfunction, but no significant microglial-enriched gene expression differences.

miEAA 2.0 enhances miRNA enrichment analysis by supporting multiple species, adding new categories, and providing API access, with case studies in human and mouse data.

The paper evaluates reference samples for genome-scale miRNA profiling and develops metrics and an online pipeline to assess measurement performance.

This study evaluates the accuracy, reproducibility, and bias of small RNA-seq across five protocols and nine labs, finding protocol-specific bias that can be mitigated with adapters and computational corrections.