Literature DB >> 12872219

Evaluation of saturation labelling two-dimensional difference gel electrophoresis fluorescent dyes.

Joanne Shaw1, Rachel Rowlinson, Janice Nickson, Tim Stone, Alison Sweet, Karen Williams, Robert Tonge.   

Abstract

Two-dimensional difference gel electrophoresis (2-D DIGE) enables an increased confidence in detection of protein differences. However, due to the nature of the minimal labelling where only approximately 5% of a given protein is labelled, spots cannot be directly excised for mass spectrometry (MS) analysis and detection sensitivity could be further enhanced. Amersham Biosciences have developed a second set of CyDye DIGE Cy 3 and Cy5 dyes, which aim to overcome these limitations through saturation-labelling of cysteine residues. The dyes were evaluated in relation to their sensitivity and dynamic range, their useability as multiplexing reagents and the possibility of direct spot picking from saturation-labelled gels for MS analysis. The saturation-labelling dyes were superior in sensitivity to their minimal-labelling counterparts, silver stain and Sypro Ruby, however, the resulting 2-D spot pattern was significantly altered from that of unlabelled or minimal-labelled protein. The dyes were found to be useful as multiplexing reagents although preferential labelling of proteins with one dye over another was observed but was controlled for through experimental design. Protein identities were successfully obtained from material directly excised from saturation-labelled gels eliminating the need for post-stained preparative gels.

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Year:  2003        PMID: 12872219     DOI: 10.1002/pmic.200300439

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  31 in total

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8.  Size-matched alkyne-conjugated cyanine fluorophores to identify differences in protein glycosylation.

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9.  Changes in endoplasmic reticulum stress proteins and aldolase A in cells exposed to dopamine.

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Journal:  Proteomics Clin Appl       Date:  2009-05-05       Impact factor: 3.494

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