Evidence map›Paper›PMID 38087193›Full record

ArticleBMC infectious diseases2023

An ncRNA transcriptomics-based approach to design siRNA molecules against SARS-CoV-2 double membrane vesicle formation and accessory genes.

Rabia Nawaz, Muhammad Ali Arif, Zainab Ahmad, Ammara Ahad, Muhammad Shahid, Zohal Hassan, Ali Husnain, Ali Aslam, Muhammad Saad Raza, Uqba Mehmood and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 4 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

11 authors at 2 institutions in 1 country.

Rabia Nawaz *Department of Biological Sciences, Superior University, Lahore, Pakistan. dr.rabia.nawaz8@gmail.com.
Muhammad Ali Arif *Department of Biological Sciences, Superior University, Lahore, Pakistan.
Zainab Ahmad *Department of Biological Sciences, Superior University, Lahore, Pakistan.
Ammara AhadDepartment of Biological Sciences, Superior University, Lahore, Pakistan.
Muhammad ShahidDivision of Molecular Virology, Center of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Zohal HassanDepartment of Biological Sciences, Superior University, Lahore, Pakistan.
Ali HusnainDepartment of Biological Sciences, Superior University, Lahore, Pakistan.
Ali AslamDepartment of Biological Sciences, Superior University, Lahore, Pakistan.
Muhammad Saad RazaDepartment of Biological Sciences, Superior University, Lahore, Pakistan.
Uqba MehmoodDepartment of Biological Sciences, Superior University, Lahore, Pakistan.
Muhammad IdreesDivision of Molecular Virology, Center of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Superior University · PKUniversity of the Punjab · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe corona virus SARS-CoV-2 is the causative agent of recent most global pandemic. Its genome encodes various proteins categorized as non-structural, accessory, and structural proteins. The non-structural proteins, NSP1-16, are located within the ORF1ab. The NSP3, 4, and 6 together are involved in formation of double membrane vesicle (DMV) in host Golgi apparatus. These vesicles provide anchorage to viral replicative complexes, thus assist replication inside the host cell. While the accessory genes coded by ORFs 3a, 3b, 6, 7a, 7b, 8a, 8b, 9b, 9c, and 10 contribute in cell entry, immunoevasion, and pathological progression.

methodsThis in silico study is focused on designing sequence specific siRNA molecules as a tool for silencing the non-structural and accessory genes of the virus. The gene sequences of NSP3, 4, and 6 along with ORF3a, 6, 7a, 8, and 10 were retrieved for conservation, phylogenetic, and sequence logo analyses. siRNA candidates were predicted using siDirect 2.0 targeting these genes. The GC content, melting temperatures, and various validation scores were calculated. Secondary structures of the guide strands and siRNA-target duplexes were predicted. Finally, tertiary structures were predicted and subjected to structural validations.

resultsThis study revealed that NSP3, 4, and 6 and accessory genes ORF3a, 6, 7a, 8, and 10 have high levels of conservation across globally circulating SARS-CoV-2 strains. A total of 71 siRNA molecules were predicted against the selected genes. Following rigorous screening including binary validations and minimum free energies, final siRNAs with high therapeutic potential were identified, including 7, 2, and 1 against NSP3, NSP4, and NSP6, as well as 3, 1, 2, and 1 targeting ORF3a, ORF7a, ORF8, and ORF10, respectively.

conclusionOur novel in silico pipeline integrates effective methods from previous studies to predict and validate siRNA molecules, having the potential to inhibit viral replication pathway in vitro. In total, this study identified 17 highly specific siRNA molecules targeting NSP3, 4, and 6 and accessory genes ORF3a, 7a, 8, and 10 of SARS-CoV-2, which might be used as an additional antiviral treatment option especially in the cases of life-threatening urgencies.

Indexed as

COVID-19SARS-CoV-2Gene Expression ProfilingHumansPhylogenyRNA, Small InterferingRNA, Small InterferingAccessory genesGene silencingncRNANon-structural genesNSPsOpen Reading frame ORFSARS-CoV-2siRNA

Identifiers

PMID38087193
PMCPMC10718025
OpenAlexW4389625569

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.