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A systematically-revised ribosome profiling method for bacteria reveals pauses at single-codon resolution.

Fuad Mohammad | Rachel Green | Allen R Buskirk
eLife | 2019

In eukaryotes, ribosome profiling provides insight into the mechanism of protein synthesis at the codon level. In bacteria, however, the method has been more problematic and no consensus has emerged for how to best prepare profiling samples. Here, we identify the sources of these problems and describe new solutions for arresting translation and harvesting cells in order to overcome them. These improvements remove confounding artifacts and improve the resolution to allow analyses of ribosome behavior at the codon level. With a clearer view of the translational landscape in vivo, we observe that filtering cultures leads to translational pauses at serine and glycine codons through the reduction of tRNA aminoacylation levels. This observation illustrates how bacterial ribosome profiling studies can yield insight into the mechanism of protein synthesis at the codon level and how these mechanisms are regulated in response to changes in the physiology of the cell.

Pubmed ID: 30724162

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Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: GM110113
  • Agency: NIGMS NIH HHS, United States
    Id: GM105816
  • Agency: NIGMS NIH HHS, United States
    Id: U54 GM105816
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM110113
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM007445

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IPython (tool)

RRID:SCR_001658

A web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document. It offers a comprehensive library on top of which more sophisticated systems can be built. The project provides an enhanced interactive environment that includes support for data visualization and facilities for distributed and parallel computation.

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