Automatic analysis of Nostoc sp. growth

Jan Urban¹, Jan Vaněk^1,2, Dalibor Štys^1,3

1) Institute of Physical Biology, University of South Bohemia, Nove Hrady

2) Department of Cybernetics, University of West Bohemia, Nove Hrady

3) Institute of Microbiology, ASCR, Trebon

Objectives: Metabolomics is the systematic study of the unique chemical fingerprints that specific cellular processes leave behind. Specifically, the study of their small-molecule metabolite profiles. The small-molecule profiles can be monitored by high-sensitive chemical analysing machines. But the amount of collected data is huge and hard to analyse by human sense.

Methods: High-Performance Liguid Chromatography followed by Mass spectrometry was used as a measuring tool. In Matlab and C++ enviroment automatic analysing tools for metabolomic measurements were developed. Random and Systematic noise filters are presented. A peak detector based on certainty factor evaluation is introduced as well. Metabolomic content of measuremt set can be comparised

Conclusion: Metabolite history of 11-day growth of cyanobacteria Nostoc sp. was automatically extracted from measurements and a dendrogram was evaluated.