ArticleAMB Express2020
Evaluation of the yeast surface display system for screening of functional nanobodies.
Article in AMB Express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 31 citations in OpenAlex.
- Yeast Molecular Display for the Screening and Production of Immunological Proteins Using Nanobody as an Example.Methods in molecular biology (Clifton, N.J.) · 2026Article
- A functional surface display system iniScience · 2025Article
- Surface Display Technologies for Whole-Cell Biocatalysts: Advances in Optimization Strategies, Food Applications, and Future Perspectives.Foods (Basel, Switzerland) · 2025Review
- Construction of L-type lectin displaying Saccharomyces cerevisiae for Vibrio parahaemolyticus agglutination.International microbiology : the official journal of the Spanish Society for Microbiology · 2025Article
- Nanobodies in animal infectious disease control: diagnosis and therapy.Frontiers in cellular and infection microbiology · 2025Review
- A fine-tuned yeast surface-display/secretion platform enables the rapid discovery of neutralizing antibodies against Clostridioides difficile toxins.Microbial cell factories · 2023Article
- Engineered Yeast Displaying Specific Norovirus-Binding Nanobodies for the Concentration and Detection of Human Norovirus in Food Matrix.Journal of agricultural and food chemistry · 2023Article
- The Use of Yeast in Biosensing.Microorganisms · 2022Review
- Easily Established and Multifunctional Synthetic Nanobody Libraries as Research Tools.International journal of molecular sciences · 2022Review
- Engineering Proteins Containing Noncanonical Amino Acids on the Yeast Surface.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Review
- Development of a yeast cell surface display method using the SpyTag/SpyCatcher system.Scientific reports · 2021Article
- Interaction standards for biophysics: anti-lysozyme nanobodies.European biophysics journal : EBJ · 2021Article
- Yeast Surface Display System: Strategies for Improvement and Biotechnological Applications.Frontiers in bioengineering and biotechnology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Yeast surface display is a powerful technology used to isolate and engineer proteins to improve their activity, specificity, and stability. In this method, gene expression is regulated by promoters, and secretion efficiency is affected by secretion signals. Furthermore, both the accessibility and activity of the displayed proteins are affected by the length of anchor proteins. The ideal promoter, secretion signal, and anchor protein combination depend on the proteins of interest. In this study, we optimized a yeast surface display suitable for nanobody evaluation. We designed five display systems that used different combinations of promoters, secretion signals, and anchor proteins. Anti-hen egg-white lysozyme nanobody was used as the model nanobody. The amount of nanobodies displayed on yeast cells, the number of antigens bound to the displayed nanobodies, and the display efficiency were quantified. Overall, we improved the yeast display system for nanobody engineering and proposed its optimization.
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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.