﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>BioImpacts</JournalTitle>
      <Issn>2228-5652</Issn>
      <Volume>15</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2025</Year>
        <Month>01</Month>
        <DAY>19</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Performance of protein N linear epitopes in serodiagnosis of COVID-19 infection</ArticleTitle>
    <FirstPage>30232</FirstPage>
    <LastPage>30232</LastPage>
    <ELocationID EIdType="doi">10.34172/bi.30232</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Sahar</FirstName>
        <LastName>Farajnia</LastName>
        <Identifier Source="ORCID">https://orcid.org/0009-0001-6622-9014</Identifier>
      </Author>
      <Author>
        <FirstName>Nazli</FirstName>
        <LastName>Khajenasiri</LastName>
      </Author>
      <Author>
        <FirstName>Safar</FirstName>
        <LastName>Farajnia</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-6087-9147</Identifier>
      </Author>
      <Author>
        <FirstName>Farzin</FirstName>
        <LastName>Seyrafi</LastName>
      </Author>
      <Author>
        <FirstName>Nasim</FirstName>
        <LastName>Bakhtiyari</LastName>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/bi.30232</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2023</Year>
        <Month>12</Month>
        <Day>20</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2024</Year>
        <Month>02</Month>
        <Day>28</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: Despite the efforts to contain the spread of COVID-19, the virus remains in circulation, posing a considerable risk to populations across the globe. Hence, rapid and early detection of this infection is essential for effective disease control. The nucleocapsid (N) protein of the virus serves as a primary target for antibody response during CoV2 infections, making it a potential candidate for COVID-19 detection. This study aims to prepare and evaluate the linear epitopes of the N protein for serodiagnosis of COVID-19 infection. Methods: The linear epitope of the N protein gene was identified using ABCpred, BCpred, and IEDB. These epitopes were subsequently amplified by RT-PCR, cloned, and expressed in soluble form in the E. coli BL21 strain. The recombinant protein was purified using the Ni-NTA column. The reactivity of purified N protein with sera from SARS-CoV-2 patients was analyzed using an ELISA assay.  Results: Sequencing analysis demonstrated the successful cloning of the linear epitopes of the N protein into the PET-28a vector, along with an n-terminal His-tag fusion. The recombinant protein was produced in E. coli BL21 and purified with a Ni-NTA column. The analysis demonstrated that the N protein linear epitopes were expressed in a soluble form and appeared as a 50 kDa band in the SDS-PAGE. Examination for the reactivity of the purified N protein with the COVID-19 patient’s sera by ELISA revealed that the N protein recognizes the infection with high sensitivity and specificity.  Conclusion: The results of this study indicated that linear epitopes of the SARS-CoV-2 N protein are highly immunogenic and could be exploited for serodiagnosis of infection in patients suspected of COVID-19 infection. </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">SARS-CoV-2</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">N protein</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Linear epitopes</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Serodiagnosis</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">COVID-19</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>