title: Tissue specific electrochemical fingerprinting.
abstract: BACKGROUND
  Proteomics and metalloproteomics are rapidly developing interdisciplinary fields providing enormous amounts of data to be classified, evaluated and interpreted. Approaches offered by bioinformatics and also by biostatistical data analysis and treatment are therefore of extreme interest. Numerous methods are now available as commercial or open source tools for data processing and modelling ready to support the analysis of various datasets. The analysis of scientific data remains a big challenge, because each new task sets its specific requirements and constraints that call for the design of a targeted data pre-processing approach.
  
  
  RESULTS
  This study proposes a mathematical approach for evaluating and classifying datasets obtained by electrochemical analysis of metallothionein in rat 9 tissues (brain, heart, kidney, eye, spleen, gonad, blood, liver and femoral muscle). Tissue extracts were heated and then analysed using the differential pulse voltammetry Brdicka reaction. The voltammograms were subsequently processed. Classification models were designed making separate use of two groups of attributes, namely attributes describing local extremes, and derived attributes resulting from the level=5 wavelet transform.
  
  
  CONCLUSIONS
  On the basis of our results, we were able to construct a decision tree that makes it possible to distinguish among electrochemical analysis data resulting from measurements of all the considered tissues. In other words, we found a way to classify an unknown rat tissue based on electrochemical analysis of the metallothionein in this tissue.
authors.affiliation: Department of Chemistry and Biochemistry, Faculty of Agronomy, Mendel University in Brno, Brno, Czech Republic.
authors.forename: Pavlina
authors.initials: P
authors.lastname: Sobrova
authors.forename: Lenka
authors.initials: L
authors.lastname: Vyslouzilova
authors.forename: Olga
authors.initials: O
authors.lastname: Stepankova
authors.forename: Marketa
authors.initials: M
authors.lastname: Ryvolova
authors.forename: Jiri
authors.initials: J
authors.lastname: Anyz
authors.forename: Libuse
authors.initials: L
authors.lastname: Trnkova
authors.forename: Vojtech
authors.initials: V
authors.lastname: Adam
authors.forename: Jaromir
authors.initials: J
authors.lastname: Hubalek
authors.forename: Rene
authors.initials: R
authors.lastname: Kizek
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D003663:Decision Trees; D004563:Electrochemistry / Q000379:methods; D008297:Male; D008668:Metallothionein / Q000737:chemistry; D015233:Models, Statistical; D008962:Models, Theoretical; D040901:Proteomics / Q000379:methods*; D011817:Rabbits; D051381:Rats; D017208:Rats, Wistar; D012107:Research Design; D014018:Tissue Distribution
chemical_list: D008668:Metallothionein