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Full-Text Articles in Biochemistry, Biophysics, and Structural Biology
Mass Spectrometric Analysis And Machine Learning Enable Microorganism Classification Based On Rna Posttranscriptional Modifications, Colin Christopher Aldrich
Mass Spectrometric Analysis And Machine Learning Enable Microorganism Classification Based On Rna Posttranscriptional Modifications, Colin Christopher Aldrich
Legacy Theses & Dissertations (2009 - 2024)
RNA post-transcriptional modifications (PTMs) are dynamic features that can be up- or down-regulated by the health and metabolic state of a cell. These covalent modifications are installed and removed on RNA nucleosides by enzymes controlled by the activation and deactivation of specific genes. The goal of this research was to demonstrate that RNA PTMs can serve as a unique feature for the classification/identification of microorganisms. We utilized a scheme based on electrospray ionization mass spectrometry (ESI-MS) to obtain global PTM profiles from total RNA extracted from various microorganisms in optimal growth conditions as well as Salmonella typhimurium (S. typhimurium) spiked …