Quantitative proteome analysis in cardiovascular physiology and pathology. I. Data processing.
Methodological evaluation of the proteomic analysis of cardiovascular-tissue material has been performed with a special emphasis on establishing examinations that allow reliable quantitative analysis of silver-stained readouts. Reliability, reproducibility, robustness and linearity were addressed and clarified. In addition, several types of normalization procedures were evaluated and new approaches are proposed. It has been found that the silver-stained readout offers a convenient approach for quantitation if a linear range for gel loading is defined. In addition, a broad range of a 10-fold input (loading 20-200 microg per gel) fulfills the linearity criteria, although at the lowest input (20 microg) a portion of protein species will remain undetected. The method is reliable and reproducible within a range of 65-200 microg input. The normalization procedure using the sum of all spot intensities from a silver-stained 2D pattern has been shown to be less reliable than other approaches, namely, normalization through median or through involvement of interquartile range. A special refinement of the normalization through virtual segmentation of pattern, and calculation of normalization factor for each stratum provides highly satisfactory results. The presented results not only provide evidence for the usefulness of silver-stained gels for quantitative evaluation, but they are directly applicable to the research endeavor of monitoring alterations in cardiovascular pathophysiology.
Department of Biomedicine, University Hospital Basel, Switzerland. t.grussenmeyer@unibas.ch
Thomas
T
Grussenmeyer
Silvia
S
Meili-Butz
Thomas
T
Dieterle
Emmanuel
E
Traunecker
Thierry P
TP
Carrel
Ivan
I
Lefkovits
D000818:Animals; D002318:Cardiovascular Diseases / Q000378:metabolism*; D002319:Cardiovascular System / Q000378:metabolism*; D015180:Electrophoresis, Gel, Two-Dimensional; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D006321:Heart / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009206:Myocardium / Q000378:metabolism*; D020543:Proteome; D040901:Proteomics / Q000379:methods*; D051381:Rats; D020303:Rats, Inbred Dahl; D017208:Rats, Wistar; D013045:Species Specificity
D020543:Proteome