Evidence map›Paper›PMID 24092392›Full record

ArticleWorld journal of microbiology & biotechnology2014

High-level soluble expression of one model olfactory receptor (ODR-10) in Escherichia coli cell-free system.

Xu Zhang, Jiayuan Sheng, Lei Huang, Liping Du, Jin Cai, Peilin Cen, Zhinan Xu

Abstract read
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In one paragraph

Article in World journal of microbiology & biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 1 institution in 1 country.

Xu ZhangInstitute of Biological Engineering, Department of Chemical and Biological Engineering, Zhejiang University, Zheda Road 38, Hangzhou, 310027, People's Republic of China.
Jiayuan Sheng
Lei Huang
Liping Du
Jin Cai
Peilin Cen
Zhinan Xu
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-level production of G protein-coupled receptors (GPCRs) is usually difficult to achieve in heterologous cell systems. The inherent hydrophobicity of these receptors could cause aggregation and possible cytotoxicity. Cell-free (CF) expression has become a highly promising tool for the fast and efficient production of integral membrane proteins. Here we reported the CF production of an olfactory receptor from Caenorhabditis elegans, odorant response abnormal protein 10 (ODR-10), a member of GPCRs, using the Escherichia coli extracts. Different expression vectors were investigated and 175 μg/ml total ODR-10 was achieved with pIVEX2.4c. To obtain soluble ODR-10, different detergents and liposome with varied concentrations were respectively added into the CF system. High-level expression of soluble ODR-10 (150 μg/ml) was attained with the addition of 1.5 % polyoxyethylene-(20)-cetyl-ether (Brij58) into the CF system. Furthermore, the yield of total ODR-10 was improved to 350 μg/ml by supplementing liposomes into the CF system, and the maximal concentration of the soluble receptor (102 μg/ml) was achieved in this liposome-assisted CF system. Both strategies produced ODR-10 efficiently by using CF system, and the direct reconstitution of the in vitro expressed receptor into liposomes will be preferred for its potential applications in many areas.

Indexed as

AnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsCell-Free SystemEscherichia coliReceptors, OdorantCaenorhabditis elegans ProteinsODR-10 protein, C elegansReceptors, Odorant

Identifiers

PMID24092392
OpenAlexW1981652581

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.