Evidence map›Paper›PMID 34736476›Full record

ArticleMicrobial cell factories2021

Codon pair optimization (CPO): a software tool for synthetic gene design based on codon pair bias to improve the expression of recombinant proteins in Pichia pastoris.

Yide Huang, Ting Lin, Lingfang Lu, Fan Cai, Jie Lin, Yu E Jiang, Yao Lin

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Metabolic engineering ofApplied and environmental microbiology · 2026
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  8. Review
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  11. Review
  12. Dicodon-based measures for modeling gene expression.Bioinformatics (Oxford, England) · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yide HuangEngineering Research Center of Industrial Microbiology, College of Life Sciences, Fujian Normal University, Fuzhou, 350007, China. yidehuang@fjnu.edu.cn.ORCID http://orcid.org/0000-0002-9310-7856
Ting LinEngineering Research Center of Industrial Microbiology, College of Life Sciences, Fujian Normal University, Fuzhou, 350007, China.
Lingfang LuEngineering Research Center of Industrial Microbiology, College of Life Sciences, Fujian Normal University, Fuzhou, 350007, China.
Fan CaiProvincial University Key Laboratory of Cellular Stress Response and Metabolic Regulation, College of Life Sciences, Fujian Normal University, Fuzhou, 350007, China.
Jie LinCollege of Mathematics and Informatics, Fujian Normal University, Fuzhou, 350007, China.
Yu E JiangCollege of Mathematics and Informatics, Fujian Normal University, Fuzhou, 350007, China. yueljiang@163.com.
Yao LinEngineering Research Center of Industrial Microbiology, College of Life Sciences, Fujian Normal University, Fuzhou, 350007, China. yaolin@fjnu.edu.cn.
Fujian Normal University · CN

Funding

fujian normal university, fujian provincial science fund for distinguished young scholar 2020J01311402
6 · The paper itself

Abstract

backgroundCodon optimization is a common method to improve protein expression levels in Pichia pastoris and the current strategy is to replace rare codons with preferred codons to match the codon usage bias. However, codon-pair contexts have a profound effect on translation efficiency by influencing both translational elongation rates and accuracy. Until now, it remains untested whether optimized genes based on codon pair bias results in higher protein expression levels compared to codon usage bias.

resultsIn this study, an algorithm based on dynamic programming was introduced to develop codon pair optimization (CPO) which is a software tool to provide simple and efficient codon pair optimization for synthetic gene design in Pichia pastoris. Two reporters (MT1-MMP E2C6 and ADAM17 A9B8 scFvs) were employed to test the effects of codon pair bias and CPO optimization on their protein expression levels. Four variants of MT1-MMP E2C6 and ADAM17 A9B8 for each were generated, one variant with the best codon-pair context, one with the worst codon-pair context, one with unbiased codon-pair context, and another optimized based on codon usage. The expression levels of variants with the worst codon-pair context were almost undetectable by Western blot and the variants with the best codon-pair context were expressed well. The expression levels on MT1-MMP E2C6 and ADAM17 A9B8 were more than five times and seven times higher in the optimized sequences based on codon-pair context compared to that based on codon usage, respectively. The results indicated that the codon-pair context-based codon optimization is more effective in enhancing expression of protein in Pichia pastoris.

conclusionsCodon-pair context plays an important role on the protein expression in Pichia pastoris. The codon pair optimization (CPO) software developed in this study efficiently improved the protein expression levels of exogenous genes in Pichia pastoris, suggesting gene design based on codon pair bias is an alternative strategy for high expression of recombinant proteins in Pichia pastoris.

Indexed as

Gene ExpressionSoftwareAlgorithmsCodonGenes, SyntheticRecombinant ProteinsSaccharomycetalesCodonRecombinant ProteinsCodon pair biasCodon pair optimizationPichia pastorisSynthetic gene design

Identifiers

PMID34736476
PMCPMC8567542
OpenAlexW3208598850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.