DRUID: a pipeline for transcriptome-wide measurements of mRNA stability.

Area of Science:

• Molecular Biology
• Genetics
• Bioinformatics

Background:

• Messenger RNA (mRNA) stability is a critical regulatory mechanism in gene expression.
• Current methods for transcriptome-wide mRNA stability analysis, like metabolic labeling, are complex and face normalization challenges.
• These challenges have limited the widespread adoption of powerful transcript stability measurement techniques.

Purpose of the Study:

• To introduce DRUID (determination of rates using intron dynamics), a novel computational pipeline designed to simplify and improve mRNA stability measurements.
• To provide a robust, user-friendly, and freely available tool for analyzing transcript stability.
• To overcome the normalization difficulties associated with metabolic labeling techniques.

Main Methods:

• Development of the DRUID computational pipeline utilizing endogenous introns for data normalization.
• Application of DRUID to time-course RNA sequencing data from metabolic labeling experiments.
• Validation of DRUID's performance across diverse organisms, from yeast to humans.

Main Results:

• DRUID effectively normalizes time-course data, yielding reproducible mRNA half-life measurements.
• The pipeline successfully processed datasets that were previously considered unusable due to normalization issues.
• DRUID demonstrated robustness and applicability across a wide range of species.

Conclusions:

• DRUID significantly simplifies the process of measuring mRNA stability using metabolic labeling.
• The pipeline's ease of use and accuracy are expected to promote broader application of transcript stability studies.
• DRUID has the potential to advance research in gene regulation by making advanced transcript stability analysis more accessible.