A New Method for Analyzing MSe/All Ions Fragmentation in Xenobiotic Metabolism Studies
Poster Feb 16, 2018
Richard Lee, Vitaly Lashin, Alexandre Sakarov, Andrey Paramonov
During early drug discovery, the study of metabolism plays an essential role in determining which drug candidates move forward into development and later stages. Current methods for analysis to identify metabolic soft spots are through LC/MSn interpretation. The main challenge in this work has always been the structure elucidation of metabolites, and there have been a number of strategies developed to address these difficulties. Typically, the use of data dependent scanning has been the primary mode of data acquisition for structure elucidation, but in the past several years the use of MSe or All Ions Fragment (AIF) acquisition has become more prominent. Here we present a computational routine that automatically analyzes MSe/AIF data for LC/MSn based drug metabolism studies.
We utilized paired synthetic crRNAs coupled with our synthetic tracrRNA in cells transduced with lentiviral Cas9 to perform a functional knockout on hsa-miR-221. This three-part system (crRNA, tracrRNA and Cas9) has demonstrated efficient gene editing when used with only one guide RNA, but the goal was to use two crRNAs to remove the entire stem-loop.READ MORE