
pmid: 19517495
AbstractDifference gel electrophoresis (DIGE) was invented to circumvent the inherent variability of 2‐DE. This variability is a natural consequence of separating thousands of proteins over a large space, such as a 15×20 cm slab of polyacrylamide gel. The originators of 2‐DE envisioned being able to compare cancerous cells and normal cells to understand what makes these cells different. Gel‐to‐gel variability made this an extremely difficult task. We reasoned that if both samples could be run on the same gel, then the inherent variability would be obviated. Thus, we created matched sets of fluorescent dyes that allows one to compare two or three protein samples on a single gel. In the 12 years since the description of DIGE first appeared in Electrophoresis, this founding paper has been cited over 660 times. This review highlights some of the improvements and applications of DIGE. We hope these examples are illustrative of what has been done and where the field is headed.
Proteomics, FOS: Biological sciences, Animals, Humans, Proteins, Electrophoresis, Gel, Two-Dimensional, 69999 Biological Sciences not elsewhere classified, Fluorescent Dyes
Proteomics, FOS: Biological sciences, Animals, Humans, Proteins, Electrophoresis, Gel, Two-Dimensional, 69999 Biological Sciences not elsewhere classified, Fluorescent Dyes
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 108 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
