Identifying Transcription Error-Enriched Genomic Loci Using Nuclear Run-on Circular-Sequencing Coupled with...

Area of Science:

• Molecular Biology
• Genomics
• Biotechnology

Background:

• RNA polymerase exhibits variable error rates across genomic loci.
• Transcription error-enriched genomic loci (TEELs) are linked to disease.
• Existing methods struggle to differentiate true transcription errors from noise and modifications.

Purpose of the Study:

• To develop a precise method for identifying TEELs.
• To distinguish genuine transcription misincorporations from other error sources.
• To investigate the distribution and characteristics of TEELs.

Main Methods:

• Developed background error model-coupled precision nuclear run-on circular-sequencing (EmPC-seq).
• EmPC-seq combines nuclear run-on, multi-read circular sequencing, and statistical error modeling.
• Applied EmPC-seq to the ribosomal RNA transcriptome.

Main Results:

• EmPC-seq reliably identifies TEELs with nucleotide precision.
• TEELs are not randomly distributed but form clusters.
• Higher error frequencies were observed at the 3' ends of nascent transcripts.

Conclusions:

• EmPC-seq provides a robust tool for identifying TEELs.
• Understanding TEEL origins is crucial for disease mechanism elucidation.
• The findings offer insights into RNA polymerase fidelity and error patterns.