Peer-reviewed veterinary case report
Modeling biological variability in 2-D gel proteomic carcinogenesis experiments.
- Journal:
- Journal of proteome research
- Year:
- 2005
- Authors:
- Rowell, Craig et al.
- Affiliation:
- Department of Pharmacology and Toxicology · United States
Abstract
We propose a statistical method to model the underlying distribution of protein spot volumes in 2-D gels using a generalized model (GM). We apply this approach to discover mechanisms of chemical carcinogenesis in a rodent model. We generated 247 protein spots that were common to all gels (n = 18). Traditional statistical methods found 6.5% (13 out of 247) significant protein spots, our GM approach yielded a total of 53 (22.5%) differentially expressed protein spots.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/16212414/