Cory A. Weller

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

ProtPipe2 provides a unified framework for downstream proteomics analysis across mass spectrometry, Olink, and SomaScan platforms, enabling consistent workflows and reusable analyses.

The paper integrates cell-specific gene expression and chromatin accessibility to identify neurodegenerative disease risk loci specific to microglia.

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

This study uses long-read sequencing to map transposable element variation in human brain tissue, revealing regulatory and epigenetic effects across cell types and ancestries.

This paper uses long-read sequencing to analyze haplotype-resolved DNA methylation at the APOE locus in brain samples, identifying allele-specific methylation patterns linked to Alzheimer's disease risk.

CARDBiomedBench evaluates LLM performance in biomedical research using a benchmark focused on neurodegenerative diseases, revealing significant limitations in response quality and safety.

The paper develops epigenetic clocks using long-read DNA methylation data from diverse ancestries, showing improved aging predictions and identifying ancestry-specific aging pathways.

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

The paper profiles proteome and phosphoproteome dynamics during neuronal differentiation of the KOLF2.1J iPSC line, revealing distinct molecular signatures and kinase activity changes.

The paper investigates how endemic viral infections alter the neuronal proteome and links these changes to neurodegenerative disease pathways.

The paper shows that DNA methylation is reset in iPSCs compared to donor PBMCs, with unique methylation sites influenced by genetics in each cell type.

ProtPipe is a data analysis pipeline for proteomics and peptidomics that automates processing, quality control, and downstream analysis of mass spectrometry data.

The paper develops a high-throughput method to identify essential and dispensable domains in AcrIIA4 by generating and testing precise deletions, revealing that PAM binding inhibition is key while catalytic domain interaction is dispensable.

This study investigates how knocking down RNA binding proteins affects mRNA transport and local translation in neurons, revealing distinct impacts on neuritic proteome and transcriptome.

The paper introduces NOVA, a deep learning model for analyzing organelle structures in neurons, revealing novel ALS mechanisms through phenotypic changes in TDP-43 and P-bodies.

The paper identifies druggable target genes for neurodegenerative diseases using Mendelian Randomization and provides a web platform for exploring therapeutic targets.

The paper identifies immune-related cell types and genetic loci associated with three neurodegenerative diseases using single cell RNA sequencing and genome-wide association studies.

The paper uses long-read sequencing to identify pangenomic genes contributing to yeast phenotypic variation by resolving QTLs that are missed by short-read methods.

This study develops a computational pipeline to reconstruct genomes from ultra-low coverage data in Hybrid Swarm populations and evaluates its effectiveness for genetic association studies.

The paper identifies genetic variants associated with diapause in Drosophila melanogaster, showing spatial and temporal variation in their evolutionary patterns.