ReviewFrontiers in microbiology2022
Humanization of Yeasts for Glycan-Type End-Products.
Review in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 16 citations in OpenAlex.
- Systematic optimization ofEngineering microbiology · 2026Review
- SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026Review
- Yeast as a Model for Human Disease.International journal of molecular sciences · 2026Review
- Alterations in proteinFrontiers in molecular biosciences · 2026Article
- Editor's Choice Protein engineering strategies to develop lectins by design.Glycobiology · 2025Review
- Mammalian Cell Surface Display for High-Throughput Protein Engineering of Glycosyltransferases.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- A game of tag: A review of protein tags for the successful detection, purification and fluorescence labelling of proteins expressed in microalgae.The Plant journal : for cell and molecular biology · 2025Review
- Production of biologically active recombinant salmon calcitonin in Escherichia coli and fish cell line.Archives of microbiology · 2025Article
- Multifaceted virus-like particles: Navigating towards broadly effective influenza A virus vaccines.Current research in microbial sciences · 2025Review
- Review
- Precise Therapy Using the Selective Endogenous Encapsidation for Cellular Delivery Vector System.Pharmaceutics · 2024Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Yeasts are often considered microorganisms for producing human therapeutic glycosylated end-products at an industrial scale. However, the products with non-humanized glycans limited their usage. Therefore, various methods to develop humanized glycosylated end-products have been widely reported in yeasts. To make full use of these methods, it is necessary to summarize the present research to find effective approaches to producing humanized products. The present research focuses on yeast species selection, glycosyltransferase deletion, expression of endoglycosidase, and expression of proteins with galactosylated and or sialylated glycans. Nevertheless, the yeasts will have growth defects with low bioactivity when the key enzymes are deleted. It is necessary to express the corresponding repairing protein. Compared with N-glycosylation, the function of yeast protein O-glycosylation is not well-understood. Yeast proteins have a wide variety of O-glycans in different species, and it is difficult to predict glycosylation sites, which limits the humanization of O-glycosylated yeast proteins. The future challenges include the following points: there are still many important potential yeasts that have never been tried to produce glycosylated therapeutic products. Their glycosylation pathway and related mechanisms for producing humanized glycosylated proteins have rarely been reported. On the other hand, the amounts of key enzymes on glycan pathways in human beings are significantly more than those in yeasts. Therefore, there is still a challenge to produce a large body of humanized therapeutic end-products in suitable yeast species, especially the protein with complex glycans. CRISPR-Cas9 system may provide a potential approach to address the important issue.
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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.