Arntzens’s research expertise is in proteomic analysis, specifically using quantitative techniques to retrieve relative expression levels in large datasets and correlate this with functional annotations, both in data from single species and mixed microbial communities. His experience in this field spans over 13 years including a PhD and a postdoc period.

Arntzens’s key publications to date have reported on the development of novel quantitative software for proteomics with accompanying enhanced chemical methods, proteomics data consolidation and meta-analysis and, more recently, on the secretomes of polysaccharide degrading bacteria and on characterizing novel, uncultured phylotypes in anaerobic digesters using a combination of metagenomics and metaproteomics.

Research interests:

* Quantitative proteomics

* Metagenomics and metaproteomics

* Microbial communities

* Secretomics

* Enzyme characterization

* Biomass degradation

* Denitrification

* Bioinformatics and software development