Evaluating data integrity in ribosome footprinting datasets through modelled polysome profiles.

ABSTRACT: The assessment of transcriptome-wide ribosome binding to mRNAs is useful for studying the dynamic regulation of protein synthesis. Two methods frequently applied in eukaryotic cells that operate at different levels of resolution are polysome profiling, which reveals the distribution of ribosome loads across the transcriptome, and ribosome footprinting (also termed ribosome profiling or Ribo-Seq), which when combined with appropriate data on mRNA expression can reveal ribosome densities on individual transcripts. In this study we develop methods for relating the information content of these two methods to one another, by reconstructing theoretical polysome profiles from ribosome footprinting data. Our results validate both approaches as experimental tools. Although we show that both methods

SUBMITTER: Hedayioglu F 

PROVIDER: S-EPMC9638929 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature