research

R, proteomics, neurodegenerative disorders, aging, systems biology

Proteomics data analysis

Modern day biology is data intensive. Proteomics is not an exception. The range of tools that we apply span from signal processing of mass spectra, data reduction and feature finding to detect and quantify peptides and proteins, and variety of statistical and machine learning tools to detect the changes associated with biological and clinical phenotypes.

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Proteomics of brain & neurodegenerative disorders

One of the strongest research direction over the last 5 years is application of LC-MS/MS proteomics for studying neurodegenerative disorders including Alzheimer’s and Parkinson’s.

Studying of aging using C. elegans model organism

We have been productively collaborating with the Braeckman Lab at the University of Ghent (Belgium) on studying aging processes using the model organism Caenorhabditis elegans. We use proteomics tools for quantifying relative protein abundance changes and changes in protein turnover to get a glimpse in understanding what is going on with organisms during aging and what determines longevity.

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