circTAIL-seq, a targeted method for deep analysis of RNA 3' tails, reveals transcript-specific differences by...

Area of Science:

• Molecular Biology
• Genetics
• Biochemistry

Background:

• RNA 3' nucleotide tails regulate gene expression, affecting RNA stability and translation.
• Current methods struggle to comprehensively profile heterogeneous RNA tail populations.
• Understanding tail variations is crucial for deciphering RNA regulatory mechanisms.

Purpose of the Study:

• To develop and validate a targeted method for in-depth profiling of heterogeneous RNA 3' tail populations.
• To quantify subtle differences in tail characteristics within specific transcripts.
• To enable analysis of low-abundance or degraded RNA variants.

Main Methods:

• Development of circTAIL-seq, a targeted sequencing approach for RNA 3' tail analysis.
• Application of circTAIL-seq to quantify tail populations of Trypanosoma brucei mitochondrial transcripts.
• Validation of circTAIL-seq's ability to detect degradation intermediates.

Main Results:

• circTAIL-seq effectively quantifies major and subtle differences in heterogeneous RNA tail populations.
• The method successfully discriminated and quantified distinct tail states within a single transcript population.
• circTAIL-seq identified tail characteristics of low-abundance and degradation intermediate transcripts.

Conclusions:

• circTAIL-seq is a powerful tool for analyzing non-encoded RNA tails, especially in variable or low-abundance scenarios.
• The findings expand knowledge of RNA tail heterogeneity and regulation.
• This method facilitates future studies on RNA tail dynamics in response to stimuli or genetic manipulation.