ABSTRACT
The efficiency and reproducibility of two-dimensional difference gel electrophoresis (2D DIGE) depends on several crucial steps: (i) adequate number of replicate gels, (ii) accurate image acquisition, and (iii) statistically confident protein abundance analysis. The latter is inherently determined by the image analysis system. Available software solutions apply different strategies for consecutive image alignment and protein spot detection. While DeCyderTM performs spot detection on single gels prior to the alignment of spot maps, SameSpotsTM completes image alignment in advance of spot detection. In this study, the performances of DeCyderTM and SameSpotsTM were compared considering all protein spots detected in 2D DIGE resolved proteomes of three different environmental bacteria with minimal user interference. Proteome map-based analysis by SameSpotsTM allows for fast and reproducible abundance change determination, avoiding time-consuming, manual spot matching. The different raw spot volumes, determined by the two software solutions, did not affect calculated abundance changes. Due to a slight factorial difference, minor abundance changes were very similar, while larger differences in the case of major abundance changes did not impact biological interpretation in the studied cases. Overall, affordable fluorescent dyes in combination with fast CCD camera-based image acquisition and user-friendly image analysis still qualify 2D DIGE as a valuable tool for quantitative proteomics.
Subject(s)
Software Validation , Software , Two-Dimensional Difference Gel Electrophoresis/instrumentation , Two-Dimensional Difference Gel Electrophoresis/methods , Image Processing, Computer-Assisted/instrumentation , Image Processing, Computer-Assisted/methods , Proteome , Proteomics/methods , Reproducibility of Results , Sequence Alignment , WorkflowABSTRACT
This chapter describes the basics of two-dimensional difference gel electrophoresis (2D-DIGE) for multiplex analysis of up to distinct proteomes. The example given describes the analysis of undifferentiated and differentiated neural precursor cells labelled with fluorescent Cy3 and Cy5 dyes in comparison to a pooled standard labelled with Cy2. After labelling, the proteomes are mixed together and electrophoresed on the same 2D gels. Scanning the gels at wavelengths specific for each dye allows direct overlay of the two different proteomes and the differences in abundance of specific protein spots can be determined through comparison to the pooled standard.
Subject(s)
Nerve Tissue Proteins/analysis , Neural Stem Cells/chemistry , Two-Dimensional Difference Gel Electrophoresis/methods , Animals , Cell Fractionation , Cells, Cultured , Indicators and Reagents , Lateral Ventricles/cytology , Mice , Nerve Tissue Proteins/isolation & purification , Spheroids, Cellular , Two-Dimensional Difference Gel Electrophoresis/instrumentationABSTRACT
An essential step in 2D DIGE-based analysis of differential proteome profiles is the accurate and sensitive digitalisation of 2D DIGE gels. The performance progress of commercially available charge-coupled device (CCD) camera-based systems combined with light emitting diodes (LED) opens up a new possibility for this type of digitalisation. Here, we assessed the performance of a CCD camera system (Intas Advanced 2D Imager) as alternative to a traditionally employed, high-end laser scanner system (Typhoon 9400) for digitalisation of differential protein profiles from three different environmental bacteria. Overall, the performance of the CCD camera system was comparable to the laser scanner, as evident from very similar protein abundance changes (irrespective of spot position and volume), as well as from linear range and limit of detection.
