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Dicodon-based measures for modeling gene expression
MOTIVATION: Codon usage preference patterns have been associated with modulation of translation efficiency, protein folding, and mRNA decay. However, new studies support that codon pair usage has also a remarkable effect at the gene expression level. Here, we expand the concept of CAI to answer if c...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287933/ https://www.ncbi.nlm.nih.gov/pubmed/37307098 http://dx.doi.org/10.1093/bioinformatics/btad380 |
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author | Alonso, Andres M Diambra, Luis |
author_facet | Alonso, Andres M Diambra, Luis |
author_sort | Alonso, Andres M |
collection | PubMed |
description | MOTIVATION: Codon usage preference patterns have been associated with modulation of translation efficiency, protein folding, and mRNA decay. However, new studies support that codon pair usage has also a remarkable effect at the gene expression level. Here, we expand the concept of CAI to answer if codon pair usage patterns can be understood in terms of codon usage bias, or if they offer new information regarding coding translation efficiency. RESULTS: Through the implementation of a weighting strategy to consider the dicodon contributions, we observe that the dicodon-based measure has greater correlations with gene expression level than CAI. Interestingly, we have noted that dicodons associated with a low value of adaptiveness are related to dicodons which mediate strong translational inhibition in yeast. We have also noticed that some codon-pairs have a smaller dicodon contribution than estimated by the product of the respective codon contributions. AVAILABILITY AND IMPLEMENTATION: Scripts, implemented in Python, are freely available for download at https://zenodo.org/record/7738276#.ZBIDBtLMIdU. |
format | Online Article Text |
id | pubmed-10287933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102879332023-06-24 Dicodon-based measures for modeling gene expression Alonso, Andres M Diambra, Luis Bioinformatics Original Paper MOTIVATION: Codon usage preference patterns have been associated with modulation of translation efficiency, protein folding, and mRNA decay. However, new studies support that codon pair usage has also a remarkable effect at the gene expression level. Here, we expand the concept of CAI to answer if codon pair usage patterns can be understood in terms of codon usage bias, or if they offer new information regarding coding translation efficiency. RESULTS: Through the implementation of a weighting strategy to consider the dicodon contributions, we observe that the dicodon-based measure has greater correlations with gene expression level than CAI. Interestingly, we have noted that dicodons associated with a low value of adaptiveness are related to dicodons which mediate strong translational inhibition in yeast. We have also noticed that some codon-pairs have a smaller dicodon contribution than estimated by the product of the respective codon contributions. AVAILABILITY AND IMPLEMENTATION: Scripts, implemented in Python, are freely available for download at https://zenodo.org/record/7738276#.ZBIDBtLMIdU. Oxford University Press 2023-06-12 /pmc/articles/PMC10287933/ /pubmed/37307098 http://dx.doi.org/10.1093/bioinformatics/btad380 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Alonso, Andres M Diambra, Luis Dicodon-based measures for modeling gene expression |
title | Dicodon-based measures for modeling gene expression |
title_full | Dicodon-based measures for modeling gene expression |
title_fullStr | Dicodon-based measures for modeling gene expression |
title_full_unstemmed | Dicodon-based measures for modeling gene expression |
title_short | Dicodon-based measures for modeling gene expression |
title_sort | dicodon-based measures for modeling gene expression |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287933/ https://www.ncbi.nlm.nih.gov/pubmed/37307098 http://dx.doi.org/10.1093/bioinformatics/btad380 |
work_keys_str_mv | AT alonsoandresm dicodonbasedmeasuresformodelinggeneexpression AT diambraluis dicodonbasedmeasuresformodelinggeneexpression |