Evidence map›Paper›PMID 33389168›Full record

ReviewBioprocess and biosystems engineering2021

Cell-surface engineering of yeasts for whole-cell biocatalysts.

Mengqi Ye, Yuqi Ye, Zongjun Du, Guanjun Chen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Bioprocess and biosystems engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  5. Review
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  12. Frontiers in bioengineering and biotechnology · 2022
    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

4 authors at 2 institutions in 1 country.

Mengqi YeMarine College, Shandong University, Weihai, 264209, China.
Yuqi YeMarine College, Shandong University, Weihai, 264209, China.
Zongjun DuMarine College, Shandong University, Weihai, 264209, China.
Guanjun ChenMarine College, Shandong University, Weihai, 264209, China. guanjun@sdu.edu.cn.
Shandong University · CNState Key Laboratory of Microbial Technology

Funding

Postdoctoral innovation Project in Shandong Province of China 201603034Postdoctoral Science Foundation of China 2016M590631
6 · The paper itself

Abstract

Due to the unique advantages comparing with traditional free enzymes and chemical catalysis, whole-cell biocatalysts have been widely used to catalyze reactions effectively, simply and environment friendly. Cell-surface display technology provides a novel and effective approach for improved whole-cell biocatalysts expressing heterologous enzymes on the cell surface. They can overcome the substrate transport limitation of the intracellular expression and provide the enzymes with enhanced properties. Among all the host surface-displaying microorganisms, yeast is ideally suitable for constructing whole cell-surface-displaying biocatalyst, because of the large cell size, the generally regarded as safe (GRAS) status, and the perfect post-translational processing of secreted proteins. Yeast cell-surface display system has been a promising and powerful method for development of novel and improved engineered biocatalysts. In this review, the characterization and principles of yeast cell-surface display and the applications of yeast cell-surface display in engineered whole-cell biocatalysts as well as the improvement of the enzyme efficiency are summarized and discussed.

Indexed as

BiocatalysisCell MembraneMembrane ProteinsMetabolic EngineeringSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsMembrane ProteinsSaccharomyces cerevisiae ProteinsBiocatalystCBPCell-surface displayHeterologous enzymesYeast

Identifiers

PMID33389168
OpenAlexW3120643019

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.