Exploring Ribosome Positioning on Translating Transcripts with Ribosome Profiling

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• Technological advancements enable genome-wide gene regulation studies.
• Ribosome profiling quantifies translation by measuring ribosome numbers and locations on mRNA.
• Existing methods papers detail ribosome profiling implementation and data analysis.

Purpose of the Study:

• To describe a specific laboratory procedure for ribosome profiling.
• To introduce Ribomap, a novel data analysis pipeline for ribosome profiling data.
• To improve the analysis of translation at the transcript level.

Main Methods:

• A modified laboratory protocol for ribosome profiling.
• Development of the Ribomap bioinformatics pipeline.
• Utilizing RNA-seq data for normalization of sequencing bias.

Main Results:

• The described procedure offers an alternative implementation of ribosome profiling.
• Ribomap effectively allocates sequence reads to alternative mRNA isoforms.
• Ribomap normalizes sequencing bias and outputs per-codon ribosome occupancy counts.

Conclusions:

• The presented ribosome profiling method and Ribomap pipeline enhance the analysis of translational regulation.
• This approach provides a robust method for quantifying ribosome occupancy.
• The findings contribute to a deeper understanding of gene expression at the translational level.