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Optimizing the dynamics of protein expression

  • Heterologously expressed genes require adaptation to the host organism to ensure adequate levels of protein synthesis, which is typically approached by replacing codons by the target organism’s preferred codons. In view of frequently encountered suboptimal outcomes we introduce the codon-specific elongation model (COSEM) as an alternative concept. COSEM simulates ribosome dynamics during mRNA translation and informs about protein synthesis rates per mRNA in an organism- and context-dependent way. Protein synthesis rates from COSEM are integrated with further relevant covariates such as translation accuracy into a protein expression score that we use for codon optimization. The scoring algorithm further enables fine-tuning of protein expression including deoptimization and is implemented in the software OCTOPOS. The protein expression score produces competitive predictions on proteomic data from prokaryotic, eukaryotic, and human expression systems. In addition, we optimized and tested heterologous expression of manA and ova genes in Salmonella enterica serovar Typhimurium. Superiority over standard methodology was demonstrated by a threefold increase in protein yield compared to wildtype and commercially optimized sequences.

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Author:Jan-Hendrik Trösemeier, Sophia Rudorf, Holger Lößner, Benjamin Hofner, Andreas Reuter, Thomas Schulenborg, Ina KochORCiD, Isabelle Bekeredjian-Ding, Reinhard Lipowsky, Christel KampORCiDGND
URN:urn:nbn:de:hebis:30:3-503227
DOI:https://doi.org/10.1038/s41598-019-43857-5
ISSN:2045-2322
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/31101858
Parent Title (English):Scientific reports
Publisher:Macmillan Publishers Limited, part of Springer Nature
Place of publication:[London]
Document Type:Article
Language:English
Year of Completion:2019
Date of first Publication:2019/05/17
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2019/05/23
Tag:Complexity; Computational models; Computational science; Dynamical systems; Translation
Volume:9
Issue:1, Art. 7511
Page Number:15
First Page:1
Last Page:15
Note:
Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
HeBIS-PPN:450818675
Institutes:Informatik und Mathematik / Informatik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0