Abstract

Ribosome profiling provides the opportunity to evaluate translation kinetics at codon level resolution. Here, we describe ribosome profiling data, generated from two HEK293T cell lines. The ribosome profiling data are composed of Ribo-seq (mRNA sequencing data from ribosome protected fragments) and RNA-seq data (total RNA sequencing). The two HEK293T cell lines each express a version of the F9 gene, both of which are translated into identical proteins in terms of their amino acid sequences. However, these F9 genes vary drastically in their codon usage and predicted mRNA structure. We also provide the pipeline that we used to analyze the data. Further analyzing this dataset holds great potential as it can be used i) to unveil insights into the composition and regulation of the transcriptome, ii) for comparison with other ribosome profiling datasets, iii) to measure the rate of protein synthesis across the proteome and identify differences in elongation rates, iv) to discover previously unidentified translation of peptides, v) to explore the effects of codon usage or codon context in translational kinetics and vi) to investigate cotranslational folding. Importantly, a unique feature of this dataset, compared to other available ribosome profiling data, is the presence of the F9 gene in two very distinct coding sequences.

Highlights

  • The ribosome profiling technique has only been around for a decade1 but has already contributed tremendously to our understanding of translation efficiency and kinetics

  • Ribosome profiling data typically consist of a set of sequences of ribosome protected fragments (RPF), designated as Ribo-seq data, which is accompanied by sequences from total RNA (RNA-seq)

  • The amino acid sequence of the protein remains unaltered, these changes were assumed to be inconsequential for the structure and function of the protein. This is not always true; through our ribosome profiling study, we described that these synonymous changes drastically altered translational kinetics and led to protein conformational changes5

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Summary

10 Mar 2020

1. Stefano Biffo , INGM, National Institute of Molecular Genetics, “Fondazione Romeo ed Enrica Invernizzi”, Milan, Italy Riccardo Rossi, INGM, Milan, Italy. 3. Rafal Bartoszewski , Medical University of Gdansk, Gdansk, Poland James Collawn, University of Alabama at. Birmingham, Birmingham, USA Any reports and responses or comments on the article can be found at the end of the article

Introduction
Materials and methods
Ingolia NT
Findings
14. CBER-Source
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