Criteria for Candida albicans numerical analysis based on electrophoretic protein patterns
M F Boriollo1, E A Rosa, R T Rosa
1Microbiology and Immunology Laboratory, Dentistry Faculty of Piracicaba, State University of Campinas (UNICAMP), Brazil. hofling@fop.unicamp.br
Revista Argentina De Microbiologia
|September 29, 2000
Summary
This study introduces a new method for analyzing protein bands in electrophoresis gels, improving data processing. A +/- 1.25 kDa scoring range optimizes similarity indexes for numerical analysis and dendrogram construction.
Area of Science:
- Biochemistry
- Molecular Biology
- Microbiology
Background:
- Electrophoretic data processing is often hindered by challenges in selecting and positioning protein bands.
- Normalization of gels does not fully resolve issues with protein band identification.
Purpose of the Study:
- To develop an optimal criterion for maximizing similarity indexes in numerical analysis of electrophoretic data.
- To improve the reliability of protein band scoring in gel electrophoresis.
Main Methods:
- Multiple gel electrophoresis repetitions were performed on a Candida albicans strain.
- Protein bands were scored using numerical ranges with quarter-step increments (e.g., +/- 0.25 kDa to +/- 1.25 kDa).
- Similarity indexes were calculated to evaluate different scoring criteria.
Main Results:
- A scoring range of +/- 1.25 kDa was determined to be optimal for minimizing variations in protein band identification across repetitions.
- This optimized range enhances the reliability of similarity index calculations.
- Dendrograms built using the +/- 1.25 kDa criterion showed improved minimum limiting values of similarity.
Conclusions:
- The +/- 1.25 kDa scoring criterion effectively optimizes the minimum limiting value of similarity for numerical analysis of electrophoretic data.
- This method enhances the robustness of data processing in gel electrophoresis, particularly for microbial strain analysis.
