Evidence map›Paper›PMID 31133014›Full record

ArticleMicrobial cell factories2019

An efficient expression tag library based on self-assembling amphipathic peptides.

Weixin Zhao, Song Liu, Guocheng Du, Jingwen Zhou

Abstract read
In one paragraph

Article in Microbial cell factories, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Fusion Tag Design Influences Soluble Recombinant Protein Production inInternational journal of molecular sciences · 2022
    Article
  3. Article
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.

Weixin ZhaoNational Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, 214122, China.
Song LiuNational Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, 214122, China. liusong@jiangnan.edu.cn.ORCID http://orcid.org/0000-0001-8493-0878
Guocheng DuSchool of Biotechnology, Jiangnan University, Wuxi, 214122, China.
Jingwen ZhouNational Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, 214122, China.

Funding

Key Research and Development Program of Jiangsu Province BE2016629National First-class Discipline Program of Light Industry Technology and Engineering LITE2018-08National Natural Science Foundation of China 31401638National Natural Science Foundation of China 31771913
6 · The paper itself

Abstract

backgroundSelf-assembling amphipathic peptides (SAPs) may improve protein production or induce the formation of inclusion bodies by fusing them to the N-terminus of proteins. However, they do not function uniformly well with all target enzymes and systematic research on how the composition of SAPs influence the production of fusion protein is still limited.

resultsTo improve the efficiency of SAPs, we studied factors that might be involved in SAP-mediated protein production using S1 (AEAEAKAK)

conclusionsThis is the first report to study key factors of SAPs as an expression tag to enhance recombinant enzyme production. The SAP library could be used as a novel plug-and-play protein-engineering method to screen for enzymes or proteins with enhanced production.

Indexed as

Gene LibraryProtein EngineeringEscherichia coliGreen Fluorescent ProteinsHigh-Throughput Screening AssaysHydrophobic and Hydrophilic InteractionsInclusion BodiesPeptidesRecombinant Fusion ProteinsGreen Fluorescent ProteinsPeptidesRecombinant Fusion ProteinsExpression tagsHigh-throughput screeningHydrophobicityPositive chargeSelf-assembling amphipathic peptides

Identifiers

PMID31133014
PMCPMC6535861

What OpenQuestion holds

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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.