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  Transcriptome-wide measurement of ribosomal occupancy by ribosome profiling

Aeschimann, F., Xiong, J., Arnold, A., Dieterich, C., & Grosshans, H. (2015). Transcriptome-wide measurement of ribosomal occupancy by ribosome profiling. Methods, 85, 75-89. doi:10.1016/j.ymeth.2015.06.013.

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Aeschimann, F., Author
Xiong, J., Author
Arnold, A., Author
Dieterich, C.1, Author           
Grosshans, H., Author
Affiliations:
1Dieterich – Computational RNA Biology and Ageing, Research Groups, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_1942300              

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Free keywords: Animals Caenorhabditis elegans Caenorhabditis elegans Proteins/*genetics Gene Expression Profiling/*methods Ribosomes/*genetics Transcriptome/*genetics Polysome profiling Post-transcriptional regulation Ribosome profiling Translation Translational control
 Abstract: Gene expression profiling provides a tool to analyze the internal states of cells or organisms, and their responses to perturbations. While global measurements of mRNA levels have thus been widely used for many years, it is only through the recent development of the ribosome profiling technique that an analogous examination of global mRNA translation programs has become possible. Ribosome profiling reveals which RNAs are being translated to what extent and where the translated open reading frames are located. In addition, different modes of translation regulation can be distinguished and characterized. Here, we present an optimized, step-by-step protocol for ribosome profiling. Although established in Caenorhabditis elegans, our protocol and optimization approaches should be equally usable for other model organisms or cell culture with little adaptation. Next to providing a protocol, we compare two different methods for isolation of single ribosomes and two different library preparations, and describe strategies to optimize the RNase digest and to reduce ribosomal RNA contamination in the libraries. Moreover, we discuss bioinformatic strategies to evaluate the quality of the data and explain how the data can be analyzed for different applications. In sum, this article seeks to facilitate the understanding, execution, and optimization of ribosome profiling experiments.

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 Dates: 2015
 Publication Status: Issued
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 Identifiers: DOI: 10.1016/j.ymeth.2015.06.013
ISSN: 1095-9130 (Electronic)1046-2023 (Linking)
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Title: Methods
Source Genre: Journal
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Pages: - Volume / Issue: 85 Sequence Number: - Start / End Page: 75 - 89 Identifier: -