Evidence map›Paper›PMID 31963776›Full record

ArticleInternational journal of molecular sciences2020

Identification of a Novel Linear B-Cell Epitope on the Nucleocapsid Protein of Porcine Deltacoronavirus.

Jiayu Fu, Rui Chen, Jingfei Hu, Huan Qu, Yujia Zhao, Sanjie Cao, Xintian Wen, Yiping Wen, Rui Wu, Qin Zhao and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. 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
2.7field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  5. Identification of a Novel Linear B-Cell Epitope of HbpA Protein fromInternational journal of molecular sciences · 2023
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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

12 authors at 1 institution in 1 country.

Jiayu FuResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Rui ChenResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Jingfei HuResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Huan QuResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Yujia ZhaoResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Sanjie CaoResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Xintian WenResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Yiping WenResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Rui WuResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.ORCID 0000-0001-7791-4167
Qin ZhaoResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Xiaoping MaSichuan Science-observation Experimental station of Veterinary Drugs and Veterinary Diagnostic Technology, Ministry of Agriculture, Chengdu 611130, China.
Xiaobo HuangResearch Center of Swine Disease, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China.
Sichuan Agricultural University · CN

Funding

the National Key Research and Development Program of China 2016YFD0500700
6 · The paper itself

Abstract

Porcine deltacoronavirus (PDCoV), first identified in 2012, is a swine enteropathogen now found in many countries. The nucleocapsid (N) protein, a core component of PDCoV, is essential for virus replication and is a significant candidate in the development of diagnostics for PDCoV. In this study, monoclonal antibodies (mAbs) were generated and tested for reactivity with three truncations of the full protein (N1, N2, N3) that contained partial overlaps; of the five monoclonals chosen tested, each reacted with only the N3 truncation. The antibody designated 4E88 had highest binding affinity with the N protein and was chosen for in-depth examination. The 4E88 epitope was located to amino acids 308-AKPKQQKKPKK-318 by testing the 4E88 monoclonal for reactivity with a series of N3 truncations, then the minimal epitope, 309-KPKQQKKPK-317 (designated EP-4E88), was pinpointed by testing the 4E88 monoclonal for reactivity with a series of synthetic peptides of this region. Homology analysis showed that the EP-4E88 sequence is highly conserved among PDCoV strains, and also shares high similarity with sparrow coronavirus (HKU17), Asian leopard cat coronavirus (ALCCoV), quail coronavirus (UAE-HKU30), and sparrow deltacoronavirus (SpDCoV). Of note, the PDCoV EP-4E88 sequence shared very low similarity (<22.2%) with other porcine coronaviruses (PEDV, TGEV, PRCV, SADS-CoV, PHEV), demonstrating that it is an epitope that can be used for distinguishing PDCoV and other porcine coronavirus. 3D structural analysis revealed that amino acids of EP-4E88 were in close proximity and may be exposed on the surface of the N protein.

Indexed as

Amino Acid SequenceAnimalsAntibodies, MonoclonalCoronavirusCross ReactionsEpitopes, B-LymphocyteNucleocapsid ProteinsProtein Structure, TertiaryRecombinant ProteinsSequence AlignmentSwineAntibodies, MonoclonalEpitopes, B-LymphocyteNucleocapsid ProteinsRecombinant Proteinsmonoclonal antibodiesnucleocapsidporcine deltacoronavirus

Identifiers

PMID31963776
PMCPMC7013544
OpenAlexW2999101377

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.