Evidence map›Paper›PMID 33719350›Full record

ArticleFrontiers in genetics2021

A Negative Feedback Model to Explain Regulation of SARS-CoV-2 Replication and Transcription.

Xin Li, Zhi Cheng, Fang Wang, Jia Chang, Qiang Zhao, Hao Zhou, Chang Liu, Jishou Ruan, Guangyou Duan, Shan Gao

Abstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  9. [SARS-CoV-2 with transcription regulatory sequence motif mutation poses a greater threat].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
    Article
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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

10 authors.

Xin LiCollege of Life Sciences, Nankai University, Tianjin, China.
Zhi ChengState Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, China.
Fang WangThe Second Hospital of Tianjin Medical University, Tianjin, China.
Jia ChangCollege of Life Sciences, Nankai University, Tianjin, China.
Qiang ZhaoCollege of Life Sciences, Nankai University, Tianjin, China.
Hao ZhouCollege of Life Sciences, Nankai University, Tianjin, China.
Chang LiuCollege of Life Sciences, Nankai University, Tianjin, China.
Jishou RuanSchool of Mathematical Sciences, Nankai University, Tianjin, China.
Guangyou DuanSchool of Life Sciences, Qilu Normal University, Jinan, China.
Shan GaoCollege of Life Sciences, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although a preliminary understanding of the replication and transcription of SARS-CoV-2 has recently emerged, their regulation remains unknown.

resultsBy comprehensive analysis of genome sequence and protein structure data, we propose a negative feedback model to explain the regulation of CoV replication and transcription, providing a molecular basis of the "leader-to-body fusion" model. The key step leading to the proposal of our model was that the transcription regulatory sequence (TRS) motifs were identified as the cleavage sites of nsp15, a nidoviral RNA uridylate-specific endoribonuclease (NendoU). According to this model, nsp15 regulates the synthesis of subgenomic RNAs (sgRNAs), and genomic RNAs (gRNAs) by cleaving TRSs. The expression level of nsp15 controls the relative proportions of sgRNAs and gRNAs, which in turn change the expression level of nsp15 to reach equilibrium between the CoV replication and transcription.

conclusionThe replication and transcription of CoVs are regulated by a negative feedback mechanism that influences the persistence of CoVs in hosts. Our findings enrich fundamental knowledge in the field of gene expression and its regulation, and provide new clues for future studies. One important clue is that nsp15 may be an important and ideal target for the development of drugs (e.g., uridine derivatives) against CoVs.

Indexed as

coronavirusnsp15regulation modelreplicationtranscription

Identifiers

PMID33719350
PMCPMC7954359

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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.