Evidence map›Paper›PMID 34012525›Full record

ArticleAvicenna journal of medical biotechnology

Designing Two Synthetic Constructs for Real Time PCR Detection of

Mohammadjavad Dehghan Esmat Abadi, Hesam Motalebzadeh, Mahmoud Barati, Mohammadali Yaghobi

Open access · greenAbstract read
In one paragraph

Article in Avicenna journal of medical biotechnology. 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
–field-weighted citation impact, top 99% 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, 0 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

4 authors at 3 institutions in 1 country.

Mohammadjavad Dehghan Esmat AbadiFaculty of Chemistry and Chemical Engineering, Malek Ashtar University of Technology, Tehran, Iran.
Hesam MotalebzadehDepartment of Medical Biotechnology, Faculty of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran.
Mahmoud BaratiDepartment of Genetics, Faculty of Basic Sciences, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Mohammadali YaghobiFaculty of Chemistry and Chemical Engineering, Malek Ashtar University of Technology, Tehran, Iran.
Malek Ashtar University of Technology · IRIran University of Medical Sciences · IRIslamic Azad University, Science and Research Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenerally, timely diagnosis of micro-organisms is very important to prevent many diseases. Many methods can detect micro-organisms like culture-based methods and molecular methods. The molecular methods are usually preferred because they provide fast and reliable results. In some cases, microbial strains are not accessible, and there is no safety to work with them; therefore, synthetic constructs which are designed according to the available sequences in databases can be used as a positive control for detection of them.

methodsIn this study, a synthetic construct was designed for molecular detection of

resultsThe synthetic construct was designed and used for conventional PCR and multiplex PCR. The results of common PCR showed a single band at 148

conclusionIn conclusion, the designed construct can be used as a positive control for an accurate diagnosis of these micro-organisms without any biological danger for laboratory staff. So, this method is useful for diagnosis of these agents in food, water, and blood samples.

Indexed as

Ebola virusHumansMultiplex polymerase chain reactionReal-time polymerase chain reaction

Identifiers

PMID34012525
PMCPMC8112141
OpenAlexW3129240288

What OpenQuestion holds

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LicenceCC BY-NC
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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.