Ruebelt, MC; Lipp, M; Reynolds, TL; Schmuke, JJ; Astwood, JD; DellaPenna, D; Engel, KH; Jany, KD
Journal of Agricultural and Food Chemistry. 2006 February. 54(6):2169–2177
Link to full text (journal may charge for access)
PMID: 16536592 DOI: 10.1021/jf052358q
The current procedures to assess the safety of food and feed derived from modern biotechnology include the investigation of possible unintended effects. To improve the probability of detecting unintended effects, profiling techniques such as proteomics are currently tested as complementary analytical tools to the existing safety assessment. An optimized two-dimensional gel electrophoresis (2DE) method was used as a proteomics approach to investigate insertional and pleiotropic effects on the proteome due to genetic engineering. Twelve transgenic Arabidopsis thaliana lines were analyzed by 2DE, and their seed proteomes were compared to that of their parental line as well as to 12 Arabidopsis ecotype lines. The genetic modification of the Arabidopsis lines, using three different genes and three different promoters, did not cause unintended changes to the analyzed seed proteome. Differences in spot quantity between transgenic and nontransgenic lines fell in the range of values found in the 12 Arabidopsis ecotype lines or were related to the introduced gene.
Ruebelt, MC, M Lipp, TL Reynolds, JJ Schmuke, JD Astwood, D DellaPenna, KH Engel, KD Jany. "Application of two-dimensional gel electrophoresis to interrogate alterations in the proteome of gentically modified crops. 3. Assessing unintended effects." Journal of Agricultural and Food Chemistry 54.6 (2006): 2169–2177. Web. 4 Jul. 2022.
Ruebelt, MC., Lipp, M., Reynolds, TL., Schmuke, JJ., Astwood, JD., DellaPenna, D., Engel, KH., & Jany, KD. (2006). Application of two-dimensional gel electrophoresis to interrogate alterations in the proteome of gentically modified crops. 3. Assessing unintended effects. Journal of Agricultural and Food Chemistry, 54(6), 2169–2177. doi:10.1021/jf052358q
Please verify citations before use, citations are automatically generated based on information stored within the GENERA database and therefore may or may not be correct.