Frank Koopmans

The paper identifies novel interactors of TREML1 and TREML2 using proteomics, highlighting their roles in lipid trafficking and immunity.

The paper examines TMEM106B haplotypes and their associations with tau and TDP-43 pathologies in aging brains using integrated multi-omics data.

The paper compares whole-tissue and synaptosome proteomics using LC-MS/MS to evaluate synaptic protein detection, recommending a tiered approach for studying brain disorders.

The paper shows that NREM sleep oscillations drive synaptic proteome remodelling, promoting stabilization and memory consolidation, while altered oscillations in a disorder lead to synaptic weakening.

This study develops a single-step transposon-based method to generate pure GABAergic neurons from iPSCs, showing they mature synaptically and form functional networks.

This study integrates genetic analysis with single nucleus RNA-seq to identify cell-type specific transcriptomic perturbations in schizophrenia, highlighting mitochondrial dysfunction and protein modification as key factors.

This study identifies 142 genes associated with both schizophrenia and height, finding enrichment in immune response genes and partial genetic overlap with white blood cell count.

GOAT is a permutation-based algorithm for geneset enrichment analysis that outperforms current methods in identifying Gene Ontology terms.

This study examines how early-life stress affects the synaptic proteome in Alzheimer's disease mouse models, revealing age- and pathology-dependent changes in mitochondrial and astrocytic proteins.

A genome-wide association study of 69,369 schizophrenia cases and 236,642 controls identifies 270 risk loci, prioritizes 130 genes, and links common and rare risk variants to neuronal synaptic biology.

The paper introduces ScISOr-Seq, a method combining single-cell full-length cDNA amplification with short-read and long-read sequencing to identify isoforms in cerebellar cell types across thousands of cells.