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End-to-end pipeline for differential analysis of pausing in ribosome profiling data
Ribosome profiling is a powerful technique which maps the distribution of ribosomes along mRNAs to analyze translation genome-wide. Ribosome density can be affected by multiple factors, such as changes to translation initiation or elongation rates. We describe the application of a metric for identif...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405084/ https://www.ncbi.nlm.nih.gov/pubmed/36035799 http://dx.doi.org/10.1016/j.xpro.2022.101605 |
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author | Flanagan, Keegan Li, Wanxin Greenblatt, Ethan J. Dao Duc, Khanh |
author_facet | Flanagan, Keegan Li, Wanxin Greenblatt, Ethan J. Dao Duc, Khanh |
author_sort | Flanagan, Keegan |
collection | PubMed |
description | Ribosome profiling is a powerful technique which maps the distribution of ribosomes along mRNAs to analyze translation genome-wide. Ribosome density can be affected by multiple factors, such as changes to translation initiation or elongation rates. We describe the application of a metric for identifying genes rate-limited by these rates by analyzing the relative distribution of ribosome footprints along transcripts. This protocol also details two sample analyses comparing gene translation efficiencies and the distribution of ribosome densities on downloadable datasets. For complete details on the use and execution of this protocol, please refer to Flanagan et al. (2022). |
format | Online Article Text |
id | pubmed-9405084 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94050842022-08-26 End-to-end pipeline for differential analysis of pausing in ribosome profiling data Flanagan, Keegan Li, Wanxin Greenblatt, Ethan J. Dao Duc, Khanh STAR Protoc Protocol Ribosome profiling is a powerful technique which maps the distribution of ribosomes along mRNAs to analyze translation genome-wide. Ribosome density can be affected by multiple factors, such as changes to translation initiation or elongation rates. We describe the application of a metric for identifying genes rate-limited by these rates by analyzing the relative distribution of ribosome footprints along transcripts. This protocol also details two sample analyses comparing gene translation efficiencies and the distribution of ribosome densities on downloadable datasets. For complete details on the use and execution of this protocol, please refer to Flanagan et al. (2022). Elsevier 2022-08-18 /pmc/articles/PMC9405084/ /pubmed/36035799 http://dx.doi.org/10.1016/j.xpro.2022.101605 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Flanagan, Keegan Li, Wanxin Greenblatt, Ethan J. Dao Duc, Khanh End-to-end pipeline for differential analysis of pausing in ribosome profiling data |
title | End-to-end pipeline for differential analysis of pausing in ribosome profiling data |
title_full | End-to-end pipeline for differential analysis of pausing in ribosome profiling data |
title_fullStr | End-to-end pipeline for differential analysis of pausing in ribosome profiling data |
title_full_unstemmed | End-to-end pipeline for differential analysis of pausing in ribosome profiling data |
title_short | End-to-end pipeline for differential analysis of pausing in ribosome profiling data |
title_sort | end-to-end pipeline for differential analysis of pausing in ribosome profiling data |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405084/ https://www.ncbi.nlm.nih.gov/pubmed/36035799 http://dx.doi.org/10.1016/j.xpro.2022.101605 |
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