Analysis of RNA Sequences and Modifications Using NASE

Area of Science:

• Biochemistry and Molecular Biology
• Bioinformatics
• Analytical Chemistry

Background:

• Mass spectrometry (MS) offers unique capabilities for identifying and localizing RNA modifications.
• Traditional sequencing methods face limitations in comprehensively characterizing RNA modifications.
• Interpreting complex MS data for RNA analysis has been a significant challenge due to a lack of specialized software.

Purpose of the Study:

• To present the Nucleic Acid Search Engine (NASE) as a solution for analyzing mass spectrometry data of modified RNAs.
• To provide guidance on best practices for acquiring RNA mass spectrometry data.
• To highlight potential challenges and pitfalls in the RNA data analysis workflow.

Main Methods:

• Utilizing the Nucleic Acid Search Engine (NASE), a component of the OpenMS software.
• Implementing best practices for mass spectrometry data acquisition specific to RNA.
• Describing a workflow for the interpretation of complex RNA modification data.

Main Results:

• Demonstration of NASE's utility in analyzing mass spectrometry data for modified RNA.
• Guidelines for improved RNA data acquisition to enhance analysis.
• Identification of common pitfalls in RNA data analysis and strategies to overcome them.

Conclusions:

• NASE facilitates the discovery and characterization of modified RNAs using mass spectrometry.
• Standardized data acquisition and analysis workflows are crucial for reliable RNA modification studies.
• This work aims to lower the barrier to entry for researchers utilizing mass spectrometry in RNA epigenetics and epitranscriptomics.