Micha Johannes Birklbauer

This paper combines TMT and DIA proteomics techniques to improve low-input proteomics, showing how to overcome co-isolation interference and enabling TMT quantification with DIA-focused software.

pyXLMS simplifies crosslinking mass spectrometry analysis by integrating search engine results with downstream tools, enabling non-experts to perform comprehensive analyses.

This paper introduces DIA-QCLMS, a framework for quantitative crosslinking mass spectrometry that improves confidence assessment and integrates structural features, showing improved reproducibility in analyzing protein dynamics.

This study compares the performance of Orbitrap Astral and Eclipse mass spectrometers in CLMS, finding the Astral provides higher sensitivity and more unique residue pairs.

This paper introduces a new cleavable crosslinker, DiSPASO, for in-cell crosslinking and evaluates its performance in different model systems.

The paper audits error control in twelve crosslinking mass spectrometry pipelines using ground-truth designs, finding some pipelines exceed false discovery rates by up to 29-fold.

The paper introduces an algorithm for non-cleavable crosslink identification in MS Annika, revealing the structure of the C. elegans Box C/D complex and enabling proteome-wide analysis.