Ericka C M Itang

The paper identifies PIF as a placenta-derived peptide that inhibits KV1.3 channels in neutrophils, altering their function during pregnancy.

The paper identifies urinary protein signatures linked to LRRK2 dysfunction in Parkinson's disease using multi-cohort proteomics and machine learning, showing cross-species relevance and potential as pharmacodynamic markers.

This study evaluates bead-based and conventional plasma proteomics workflows, finding bead methods enhance low-abundance protein detection but are prone to contamination bias, while perchloric acid-based methods resist contamination better.

This study evaluates whether chromatographic performance affects proteome coverage under high-speed data acquisition, finding that proteome depth is now more influenced by mass spectrometry than chromatography.

This paper introduces a multiplex-DIA workflow that enhances single-cell proteome depth using dimethyl labeling and a reference channel, achieving reliable quantification of nearly 4,000 proteins per cell.