Two-dimensional gel electrophoresis for the detection of heritable mutations: Normal quantitive variability related to age
Heritable mutations as quantitative alterations in protein expression can be detected by using two-dimensional gel electrophoresis (2DE) coupled with computer-assisted data analysis. Ideally, one would like to monitor all of the proteins seen in a 2DE pattern for mutations, thereby allowing the examination of several hundred different genetic loci in a single individual. The background variability of each protein in the 2DE patterns, however, dictates the magnitude of change that can realistically be detected and thereby determines which proteins can be monitored for mutation events that influence protein quantity. Thus, an understanding of the factors that influence the normal quantitative variability of proteins is imperative so that conditions can be optimized for the maximum number of proteins. Using software developed at Argonne National Laboratory for the analysis of large numbers of 2DE gel patterns, we have assimilated data on the effects of the age of individuals sampled on quantitative variability. 9 refs., 2 figs., 1 tab.
- Research Organization:
- Argonne National Lab., IL (USA)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 6281909
- Report Number(s):
- CONF-8811193-1; ON: DE89009876
- Country of Publication:
- United States
- Language:
- English
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