Multivariate analysis of 2-DE protein patterns--practical approaches.
Practical approaches to the use of multivariate data analysis of 2-DE protein patterns are demonstrated by three independent strategies for the image analysis and the multivariate analysis on the same set of 2-DE data. Four wheat varieties were selected on the basis of their baking quality. Two of the varieties were of strong baking quality and hard wheat kernel and two were of weak baking quality and soft kernel. Gliadins at different stages of grain development were analyzed by the application of multivariate data analysis on images of 2-DEs. Patterns related to the wheat varieties, harvest times and quality were detected on images of 2-DE protein patterns for all the three strategies. The use of the multivariate methods was evaluated in the alignment and matching procedures of 2-DE gels. All the three strategies were able to discriminate the samples according to quality, harvest time and variety, although different subsets of protein spots were selected. The explorative approach of using multivariate data analysis and variable selection in the analyses of 2-DEs seems to be promising as a fast, reliable and convenient way of screening and transforming many gel images into spot quantities.
Jacobsen
Susanne
S
BioCentrum-DTU, Technical University of Denmark, KGs. Lyngby, Denmark. sja@biocentrum.dtu.dk
Grove
Harald
H
Jensen
Kristina Nedenskov
KN
Sørensen
Helle A
HA
Jessen
Flemming
F
Hollung
Kristin
K
Uhlen
Anne Kjersti
AK
Jørgensen
Bo M
BM
Faergestad
Ellen Mosleth
EM
Søndergaard
Ib
I
D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods*; D005903:Gliadin / Q000302:isolation & purification; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015999:Multivariate Analysis; D011506:Proteins / Q000302:isolation & purification*; D014908:Triticum / Q000737:chemistry
D011506:Proteins; D005903:Gliadin