Arpa Ebrahimi

The paper applies single-cell proteomics to study proteome changes during NGF-induced PC12 differentiation, revealing subpopulations not detected in bulk data.

GIRAFI improves sparse single-cell proteomics by imputing missing values and revealing cell states using graph-informed statistical learning, outperforming existing methods and recovering biological structure.

The paper introduces a cost-effective single-cell proteomics workflow and a data evaluation framework to improve data quality and biological interpretability.

This study identifies early synaptic and metabolic dysfunctions in 5xFAD mice before plaque formation, linking them to hippocampal vulnerability in Alzheimer's disease.