Evidence map›Paper›PMID 29456988›Full record

ArticleAdvanced biomedical research2018

Effect of Twine-arginine Translocation-signaling Fusion System and Chaperones Co-expression on Secretory Expression of Somatropin.

Mohammad Reza Bagherinejad, Hamid Mir-Mohammad Sadeghi, Daryoush Abedi, Fateme Moazen, Mohammad Rabbani

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

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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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
4 · The record

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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

5 authors at 1 institution in 1 country.

Mohammad Reza BagherinejadDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran.
Hamid Mir-Mohammad SadeghiDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran.
Daryoush AbediDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran.
Fateme MoazenDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad RabbaniDepartment of Pharmaceutical Biotechnology, School of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTwine-arginine translocation (TAT) system is one of the exporting systems in MATERIALS AND

methodsTo study the effectiveness of signaling sequences and chaperone co-expression on the translocation of expressed protein, somatropin was selected as the target. Two common signal sequences in TAT system (TorA and SufI) were added at the N-terminal of somatropin and the cassettes were co-expressed in

resultsThe expression pattern studies including Western blotting and sodium dodecyl sulfate polyacrylamide gel electrophoresis confirmed that somatropin is expressed in two cassettes. However, the pattern was different for two signaling sequences.

conclusionThe results confirmed that the approach of using TAT-signaling sequences and co-expression with the chaperone team could enhance translocation of protein to periplasmic space and culture media compared to control groups. Western blotting results showed that the signal sequence TorA could transport more expressed proteins to the periplasmic space and culture media in comparison with SufI. However, there was a considerable amount of human growth hormone in the cytoplasm which could not be transported outside the cytoplasmic space.

Indexed as

Co-expressionDnaK/J-GrpEgrowth hormonesignal sequenceSufITorAtwine-arginine translocation

Identifiers

PMID29456988
PMCPMC5812091
OpenAlexW2789794165

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.