Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Martin C. Ruebelt"'
Publikováno v:
Plant Cell Reports. 35:601-611
KEY MESSAGE : virG mutant strains of a nopaline type of Agrobacterium tumefaciens increase the transformation frequency in cotton meristem transformation. Constitutive cytokinin expression from the tzs gene in the virG mutant strains is responsible f
Autor:
Markus Lipp, Klaus-Dieter Jany, Karl-Heinz Engel, Nancy K. Leimgruber, James D. Astwood, Tracey L. Reynolds, Martin C. Ruebelt, Margaret A. Nemeth
Publikováno v:
Journal of Agricultural and Food Chemistry. 54:2154-2161
Current tools used to assess the safety of food and feed derived from modern biotechnology emphasize the investigation of possible unintended effects caused directly by the expression of transgenes or indirectly by pleiotropy. These tools include ext
Autor:
Martin C. Ruebelt, Markus Lipp, Tracey L. Reynolds, James D. Astwood, Karl-Heinz Engel, Klaus-Dieter Jany
Publikováno v:
Journal of Agricultural and Food Chemistry. 54:2162-2168
Proteomics is currently tested as a complementary tool for the safety assessment of genetically modified (GM) crops. Understanding the natural variability of the proteome is crucial for the interpretation of biological differences between transgenic
Autor:
Tracey L. Reynolds, George G. Harrigan, Steven C. Halls, Martin C. Ruebelt, Kevin C. Glenn, Kirsten Skogerson, Alberto Iandolino, Oliver Fiehn, Anand Pandravada
Publikováno v:
Journal of agricultural and food chemistry. 58(6)
This study sought to assess genetic and environmental impacts on the metabolite composition of maize grain. Gas chromatography coupled to time-of-flight mass spectrometry (GC-TOF-MS) measured 119 identified metabolites including free amino acids, fre
Autor:
Karl-Heinz Engel, Martin C. Ruebelt, Dean DellaPenna, Klaus Dieter Jany, Markus Lipp, Jon J. Schmuke, Tracey L. Reynolds, James D. Astwood
Publikováno v:
Journal of agricultural and food chemistry. 54(6)
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 proteomi