2005
DOI: 10.1007/s00216-005-3126-3
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The development of the DIGE system: 2D fluorescence difference gel analysis technology

Abstract: Two-dimensional (2D) gel electrophoresis is a powerful technique enabling simultaneous visualization of relatively large portions of the proteome. However, the well documented issues of variation and lack of sensitivity and quantitative capabilities of existing labeling reagents, has limited the use of this technique as a quantitative tool. Two-dimensional difference gel electrophoresis (2D DIGE) builds on this technique by adding a highly accurate quantitative dimension. 2D DIGE enables multiple protein extra… Show more

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Cited by 579 publications
(457 citation statements)
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“…For example, proteins without lysine cannot be labelled, and they require special equipment for visualisation. Additionally, these fluorophores are very expensive; 63,64 hence, this technique is not widely used.…”
Section: Hormone-induced Suppression Model Of Spermatogenesismentioning
confidence: 99%
“…For example, proteins without lysine cannot be labelled, and they require special equipment for visualisation. Additionally, these fluorophores are very expensive; 63,64 hence, this technique is not widely used.…”
Section: Hormone-induced Suppression Model Of Spermatogenesismentioning
confidence: 99%
“…10 Our attempt to obtain BcA-resistant strains by transformation of S. cerevisiae with cDNA or genomic libraries has not afforded critical candidate genes for investigating a target molecule (data not shown). Therefore, analysis of the yeast proteome by two-dimensional differential gel electrophoresis (2D-DIGE) 11 was performed. There are many works on proteome of S. cerevisiae 12 and alterations in protein abundance levels can provide clues about the mechanism of action of various drugs.…”
Section: Introductionmentioning
confidence: 99%
“…After electrophoresis and scanning on an imager, integrated software can be used to co-detect, locate and analyze protein spots, followed by assigning statistical confidence to each and every difference via a differential analysis algorithm and thereby avoid gel-to-gel variations. For instance, differences as little as 10% can be routinely detected with >95% statistical confidence [13].…”
Section: Introductionmentioning
confidence: 99%