| Literature DB >> 33318646 |
Burak Berber1, Cihan Aydin2, Fatih Kocabas3, Gulen Guney-Esken3, Kaan Yilancioglu4,5, Medine Karadag-Alpaslan6, Mehmet Caliseki7, Melek Yuce8, Sevda Demir3, Cihan Tastan9,10,11.
Abstract
The novel coronavirus pneumonia (COVID-19) is a highly infectious acute respiratory disease caused by Severe Acute Respiratory Syndrome-Related Coronavirus (SARS-CoV-2) (Prec Clin Med 2020;3:9-13, Lancet 2020;395:497-506, N. Engl J Med 2020a;382:1199-207, Nature 2020;579:270-3). SARS-CoV-2 surveillance is essential to controlling widespread transmission. However, there are several challenges associated with the diagnostic of the COVID-19 during the current outbreak (Liu and Li (2019), Nature 2020;579:265-9, N. Engl J Med 2020;382:727-33). Firstly, the high number of cases overwhelms diagnostic test capacity and proposes the need for a rapid solution for sample processing (Science 2018;360:444-8). Secondly, SARS-CoV-2 is closely related to other important coronavirus species and subspecies, so detection assays can give false-positive results if they are not efficiently specific to SARS-CoV-2. Thirdly, patients with suspected SARS-CoV-2 infection sometimes have a different respiratory viral infection or co-infections with SARS-CoV-2 and other respiratory viruses (MedRxiv 2020a;1-18). Confirmation of the COVID-19 is performed mainly by virus isolation followed by RT-PCR and sequencing (N. Engl J Med 2020;382:727-33, MedRxiv 2020a, Turkish J Biol 2020;44:192-202). The emergence and outbreak of the novel coronavirus highlighted the urgent need for new therapeutic technologies that are fast, precise, stable, easy to manufacture, and target-specific for surveillance and treatment. Molecular biology tools that include gene-editing approaches such as CRISPR-Cas12/13-based SHERLOCK, DETECTR, CARVER and PAC-MAN, antisense oligonucleotides, antisense peptide nucleic acids, ribozymes, aptamers, and RNAi silencing approaches produced with cutting-edge scientific advances compared to conventional diagnostic or treatment methods could be vital in COVID-19 and other future outbreaks. Thus, in this review, we will discuss potent the molecular biology approaches that can revolutionize diagnostic of viral infections and therapies to fight COVID-19 in a highly specific, stable, and efficient way.Entities:
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Year: 2020 PMID: 33318646 PMCID: PMC7734466 DOI: 10.1038/s41434-020-00209-7
Source DB: PubMed Journal: Gene Ther ISSN: 0969-7128 Impact factor: 5.250
siRNAs that are characterized by SARS-CoV and potential siRNA targeting the SARS-CoV-2 genome.
| Virus | Patent or article | Target region |
|---|---|---|
| SARS-CoV | CN101173275 (1023405-01-7) (1023405-02-8) | 220–241 region of M protein |
| SARS-CoV | CN101173275 (1023405-03-9) (1023405-04-0) | 460–480 region of M protein |
| SARS-CoV | US20050004063 (821121-38-4) | 1194–1213 bp of replicase A1 |
| SARS-CoV | CN1569233 (872062-82-3) | Nucleoprotein N |
| SARS-CoV | CN1569233 (872067-98-6) | Proteolytic enzyme |
| SARS-CoV-2 | [ | Orf1ab (6509–6531) |
| SARS-CoV-2 | [ | Orf1ab (7168–7188) |
| SARS-CoV-2 | [ | Orf1ab (11,997–12,017) |
| SARS-CoV-2 | [ | Orf1ab (12,001–12,021) |
| SARS-CoV-2 | [ | Orf1ab (15,041–15,064) |
| SARS-CoV-2 | [ | S (22,391–22,411) |
| SARS-CoV-2 | [ | Orf3a (25,693–25,717) |
| SARS-CoV-2 | [ | M (27,128–27,148) |
| SARS-CoV-2 | [ | N (28,688–28,711) |
Fig. 1This figure was created by compiling the data of many articles.
In the figure, the activities indicated by a plus, relatively. One plus (+) shows the lowest and three-plus (+++) the highest activity. Gene editing and RNAi approach for COVID-19 diagnostics and therapeutics are classified based on stability, specificity, delivery, ease of use, toxicity, and cost of production.