| Autor: |
Anders AG; Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States., Tidwell ED; Department of Biophysics, University of Michigan, Ann Arbor, Michigan 48109, United States., Gadkari VV; Department of Chemistry, University of Minnesota, Minneapolis, Minnesota 55455, United States., Koutmos M; Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.; Department of Biophysics, University of Michigan, Ann Arbor, Michigan 48109, United States., Ruotolo BT; Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States. |
| Abstrakt: |
Ribonucleic acids (RNAs) remain challenging targets for structural biology, creating barriers to understanding their vast functions in cellular biology and fully realizing their applications in biotechnology. The inherent dynamism of RNAs creates numerous obstacles in capturing their biologically relevant higher-order structures (HOSs), and as a result, many RNA functions remain unknown. In this study, we describe the development of native ion mobility-mass spectrometry and collision-induced unfolding (CIU) for the structural characterization of a variety of RNAs. We evaluate the ability of these techniques to preserve native structural features in the gas phase across a wide range of functional RNAs. Finally, we apply these tools to study the elusive mitochondrial encephalopathy, lactic acidosis, and stroke-like episodes-associated A3243G mutation. Our data demonstrate that our experimentally determined conditions preserve some solution-state memory of RNAs via the correlated complexity of CIU fingerprints and RNA HOS, the observation of predicted stability shifts in the control RNA samples, and the retention of predicted magnesium binding events in gas-phase RNA ions. Significant differences in collision cross section and stability are observed as a function of the A3243G mutation across a subset of the mitochondrial tRNA maturation pathway. We conclude by discussing the potential application of CIU for the development of RNA-based biotherapeutics and, more broadly, transcriptomic characterization. |
