Evidence map›Paper›PMID 34311261›Full record

ArticleComputers in biology and medicine2021

Identifying potential human and medicinal plant microRNAs against SARS-CoV-2 3'UTR region: A computational genomics assessment.

Naman Mangukia, Priyashi Rao, Kamlesh Patel, Himanshu Pandya, Rakesh M Rawal

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Review
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  7. miRNA expression in COVID-19.Gene reports · 2022
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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

5 authors.

Naman MangukiaDepartment of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, 380009, Gujarat, India; BioInnovations, Bhayander (West), Mumbai, 401101, Maharashtra, India. Electronic address: namanmangukia@gujaratuniversity.ac.in.
Priyashi RaoDepartment of Biochemistry and Forensic Science, University School of Sciences, Gujarat University, Ahmedabad, 380009, Gujarat, India. Electronic address: priyashi.rao@gujaratuniversity.ac.in.
Kamlesh PatelAdvait Theragnostics, GUSEC, Gujarat University, Ahmedabad, 380009, Gujarat, India. Electronic address: kamlesh.patel@advaitdx.com.
Himanshu PandyaDepartment of Botany, Bioinformatics and Climate Change Impacts Management, School of Sciences, Gujarat University, Ahmedabad, 380009, Gujarat, India. Electronic address: hapandya@gujaratuniversity.ac.in.
Rakesh M RawalDepartment of Biochemistry and Forensic Science, University School of Sciences, Gujarat University, Ahmedabad, 380009, Gujarat, India. Electronic address: rakeshrawal@gujaratuniversity.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease of 2019 (COVID-19) began as an outbreak and has taken a toll on human lives. The current pandemic requires scientific attention; hence we designed a systematic computational workflow to identify the cellular microRNAs (miRNAs) from human host possessing the capability to target and silence 3'UTR of SARS-CoV-2 genome. Based on this viewpoint, we extended our miRNA search to medicinal plants like Ocimum tenuiflorum, Zingiber officinale and Piper nigrum, which are well-known to possess antiviral properties, and are often consumed raw or as herbal decoctions. Such an approach, that makes use of miRNA of one species to interact and silence genes of another species including viruses is broadly categorized as cross-kingdom interactions. As a part of our genomics study on host-virus-plant interaction, we identified one unique 3'UTR conserved site 'GGAAGAG' amongst 5024 globally submitted SARS-CoV-2 complete genomes, which can be targeted by the human miRNA 'hsa-miR-1236-3p' and by Z. officinale miRNA 'zof-miR2673b'. Additionally, we also predicted that the members of miR477 family commonly found in these three plant genomes possess an inherent potential to silence viral genome RNA and facilitate antiviral defense against SARS-CoV-2 infection. In conclusion, this study reveals a universal site in the SARS-CoV-2 genome that may be crucial for targeted therapeutics to cure COVID-19.

Indexed as

COVID-19MicroRNAsPlants, Medicinal3' Untranslated RegionsComputational BiologyGenomicsHumansRNA, PlantSARS-CoV-23' Untranslated RegionsMicroRNAsMIRN1236 microRNA, humanRNA, PlantAntiviral defenseComputational genomicsConserved 3′UTRMedicinal plantsmiRNASARS-CoV-2

Identifiers

PMID34311261
PMCPMC8288231

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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.