ReviewBioengineering (Basel, Switzerland)2018
The Goldilocks Approach: A Review of Employing Design of Experiments in Prokaryotic Recombinant Protein Production.
Review in Bioengineering (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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.
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Who cites it
18 citing papers in PubMed.
- The effect of monomers number in peptides on Escherichia coli strain productivity and inclusion bodies-associated target protein accumulation.Folia microbiologica · 2026Article
- Purification, and characterization of xylanase by Aspergillus krugeri AUMC 15912 utilizing sugarcane bagasse under solid-state fermentation conditions.BMC microbiology · 2026Article
- The response surface method enables efficient optimization of induction parameters for the production of bioactive peptides in fed-batch bioreactors using Escherichia coli.Folia microbiologica · 2026Article
- Statistical approach for media optimization of fHbp-PorA chimeric protein expression in Escherichia coli; development of a promising Meningococcal B vaccine.Journal of industrial microbiology & biotechnology · 2026Article
- Optimization of recombinant neurturin expression in Escherichia coli using response surface methodology.Biotechnology letters · 2025Article
- Cloning, heterologous expression and characterization of β-glucosidase deriving from3 Biotech · 2024Article
- Article
- Optimization, purification, and characterization of xylanase production by a newly isolated Trichoderma harzianum strain by a two-step statistical experimental design strategy.Scientific reports · 2022Article
- The Role of Machine Learning and Design of Experiments in the Advancement of Biomaterial and Tissue Engineering Research.Bioengineering (Basel, Switzerland) · 2022Review
- Expression of full and fragment-B of diphtheria toxin genes inClinical and experimental vaccine research · 2022Article
- Review
- Donnan Membrane Process for the Selective Recovery and Removal of Target Metal Ions-A Mini Review.Membranes · 2021Review
- Statistical optimization of culture conditions for expression of recombinant humanized anti-EpCAM single-chain antibody using response surface methodology.Research in pharmaceutical sciences · 2021Article
- Quality-by-design in hot melt extrusion based amorphous solid dispersions: An industrial perspective on product development.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2021Review
- Optimization and scale-up production of Zika virus ΔNS1 in Escherichia coli: application of Response Surface Methodology.AMB Express · 2019Article
- Design of Experiments As a Tool for Optimization in Recombinant Protein Biotechnology: From Constructs to Crystals.Molecular biotechnology · 2019Review
- Advances in targeting and heterologous expression of genes involved in the synthesis of fungal secondary metabolites.RSC advances · 2019Review
- The Statistical Optimisation of Recombinant β-glucosidase Production through a Two-Stage, Multi-Model, Design of Experiments Approach.Bioengineering (Basel, Switzerland) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The production of high yields of soluble recombinant protein is one of the main objectives of protein biotechnology. Several factors, such as expression system, vector, host, media composition and induction conditions can influence recombinant protein yield. Identifying the most important factors for optimum protein expression may involve significant investment of time and considerable cost. To address this problem, statistical models such as Design of Experiments (DoE) have been used to optimise recombinant protein production. This review examines the application of DoE in the production of recombinant proteins in prokaryotic expression systems with specific emphasis on media composition and culture conditions. The review examines the most commonly used DoE screening and optimisation designs. It provides examples of DoE applied to optimisation of media and culture conditions.
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Registered trials
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.