Andrew T. Rajczewski

This study compares Scribe and database search engines in metaproteomic analysis of a ground-truth microbiome dataset, finding Scribe detects more proteins and quantifies microbial composition more accurately.

The paper presents a metaproteomic dataset to evaluate the performance of ddaPASEF and diaPASEF in terms of detection, coverage, and strain-level resolution.

This study shows TET1 acts as a tumor suppressor in lung adenocarcinoma by promoting antitumor immunity and inhibiting cell proliferation and migration.

This study compares DIA-MS and DDA-MS for metaproteomics, finding DIA-MS provides more reproducible and accurate protein and peptide identifications across laboratories.

The paper introduces a clinical metaproteomics workflow that enables analysis of host-microbe dynamics in disease by integrating mass spectrometry and bioinformatics tools.