Evidence map›Paper›PMID 23400422›Full record

ArticleMaedica2012

Optimizing of Nutrients for High Level Expression of Recombinant Streptokinase Using pET32a Expression System.

Shima Mahmoudi, Hamid Abtahi, Abbas Bahador, Ghasem Mosayebi, Ali Hatef Salmanian, Mostafa Teymuri

Abstract read
In one paragraph

Article in Maedica, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Shima MahmoudiPediatrics Infectious Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran ; Department of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Hamid Abtahi
Abbas Bahador
Ghasem Mosayebi
Ali Hatef Salmanian
Mostafa Teymuri
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Streptokinase (SK) is being increasingly used in the treatment of acute myocardial infarction and ischemic stroke. The feeding control method using substrate balance equations is vital to maintain the preferred specific growth rate for the high-level expression of recombinant proteins. In this study, initial experiments on chemical and temperature inducible expression systems were carried out to identify appropriate expression conditions to improve production of recombinant Streptokinase. Streptokinase gene of group C Streptococci was cloned into prokaryotic expression vector pET32a. Gene expression was optimized by changing levels of glucose, tryptone, and MgSO4 in the media and temperature-inducible expression system and recombinant protein was confirmed by western blot analysis with anti streptokinase sera of immunized rats. Among the various expression systems used, the quantity of recombinant streptokinase produced in the medium containing 2.4% glucose was more than two-fold compared to the medium containing 0.2% glucose. In addition, temperature induction system (37°C) was found to result in higher productivities compared to room temperature. In conclusion we have demonstrated that significant improvement in the streptokinase yield can be obtained by modifying the media and feeding of substrate. These results indicate that efficient process control strategy is important for the mass production of streptokinase.

Indexed as

optimizing of nutrientspET32arecombinant streptokinase

Identifiers

PMID23400422
PMCPMC3566888
OpenAlexW2143604699

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.