Mingming Niu

The paper presents a longitudinal CSF proteomics dataset from childhood ALL survivors to study chemotherapy-induced proteomic changes and neurotoxicity mechanisms.

The paper quantifies the proteomic composition of amyloid plaques in AD models and human brains, revealing stage-dependent remodeling and conserved proteins across species.

The paper identifies eQTLs, rQTLs, and pQTLs in the human brain and shows that many eQTL effects are attenuated post-transcriptionally, yet still correlate with schizophrenia GWAS signals.

CAT-APP identifies and mitigates contamination in plasma proteomics data, improving data quality by removing false positives and restoring true biological signals across 28 datasets.

Alzheimer's mouse model proteomes capture 30% (amyloid-only models) to 42% (adding tau and splicing models) of consensus human AD protein changes; in 5xFAD, plaques slow degradation of plaque-associated proteins.

SMAP is a pipeline that matches proteomic and genomic samples using protein-coding variants and discriminant scores, correcting 18.8% of mismatches in a large-scale proteomics dataset.