Evidence map›Paper›PMID 33559794›Full record

ArticleJournal, genetic engineering & biotechnology2021

Nanoparticles induce genetic, biochemical, and ultrastructure variations in Salvadora persica callus.

Manar S Fouda, Mohamed H Hendawey, Ghada A Hegazi, Hayat M Sharada, Nagwa I El-Arabi, Mohamed E Attia, Elham R S Soliman

Open access · diamondAbstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2021. 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
2.1field-weighted citation impact, top 12% 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, 34 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

7 authors at 3 institutions in 1 country.

Manar S FoudaDepartment of Chemistry, Faculty of Science, Helwan University, Helwan, Cairo, Egypt.
Mohamed H HendaweyDepartment of Genetic Resources, Desert Research Center, El-Matareya, Cairo, Egypt.
Ghada A HegaziDepartment of Genetic Resources, Desert Research Center, El-Matareya, Cairo, Egypt.
Hayat M SharadaDepartment of Chemistry, Faculty of Science, Helwan University, Helwan, Cairo, Egypt.
Nagwa I El-ArabiDepartment of Genetics, Faculty of Agriculture, Cairo University, Giza, Egypt.
Mohamed E AttiaDepartment of Genetic Resources, Desert Research Center, El-Matareya, Cairo, Egypt.
Elham R S SolimanCytogenetics and Molecular Genetics Unit, Botany and Microbiology Department, Faculty of Science, Helwan University, Helwan, Egypt. Elham_soliman@science.helwan.edu.eg.ORCID http://orcid.org/0000-0003-3728-7431
Desert Research Center · EGHelwan University · EGCairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSalvadora persica is an endangered medicinal plant due to difficulties in its traditional propagation. It is rich in bioactive compounds that possess many pharmaceutical, antimicrobial activities and widely used in folk medicine. The current study aims at in vitro propagation of Salvadora persica and the application of different nanoparticles (NPs) to induce the synthesis of bioactive and secondary metabolites within the plant. The cellular and genetic responses to the application of different NPs were evaluated.

resultsThe impact of nanoparticles NPs (ZnO, SiO

conclusionThis study is a stepping stone in developing a productive protocol for in vitro production of benzyl isothiocyanate from Salvadora persica using NPs as a valuable anticancer compound.

Indexed as

AntioxidantBenzyl isothiocyanateISSRMeswakNanoparticles

Identifiers

PMID33559794
PMCPMC7873148
OpenAlexW3128537468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.