﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>Advanced Pharmaceutical Bulletin</JournalTitle>
      <Issn>2228-5881</Issn>
      <Volume>16</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month>05</Month>
        <DAY>19</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Optimizing Expression of a Llama-Based Anti-PSMA Nanobody in Escherichia Coli and Its Application in Immunohistochemistry of Prostate Cancer Tissues</ArticleTitle>
    <FirstPage>62</FirstPage>
    <LastPage>73</LastPage>
    <ELocationID EIdType="doi">10.34172/apb.025.45447</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Seyedeh Sheila</FirstName>
        <LastName>Seyed-Motahari</LastName>
        <Identifier Source="ORCID">https://orcid.org/0009-0009-5723-2789</Identifier>
      </Author>
      <Author>
        <FirstName>Shahriyar</FirstName>
        <LastName>Abdoli</LastName>
      </Author>
      <Author>
        <FirstName>Mohammad Ali</FirstName>
        <LastName>Shokrgozar</LastName>
      </Author>
      <Author>
        <FirstName>Shiva</FirstName>
        <LastName>Irani</LastName>
      </Author>
      <Author>
        <FirstName>Zahra</FirstName>
        <LastName>Sharifzadeh</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-4419-0315</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/apb.025.45447</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2025</Year>
        <Month>04</Month>
        <Day>11</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2025</Year>
        <Month>12</Month>
        <Day>20</Day>
      </PubDate>
    </History>
    <Abstract>Purpose: Nanobodies possess unique properties that make them promising as tumor targeting agents. Prostate-specific membrane antigen (PSMA), overexpressed in prostate cancer, can be an excellent target for prostate cancer diagnosis. This study aimed to express and purify an anti-PSMA nanobody (PSMA-Nb) and assess its potential for detecting PSMA antigen in prostate cancer through immunohistochemistry (IHC). Methods: The PSMA-Nb gene was subcloned into pET-28a and expressed in E. coli Rosetta (DE3) and Rosetta-gami2 under varying IPTG/temperature/time conditions (0.5/1.0/1.5 mM; 16/30/37 °C; 4/16 h). The soluble and inclusion-body fractions were analyzed, and PSMA-Nb was purified via native Ni-NTA, confirmed by SDS-PAGE and anti-c-Myc Western blot. Binding was validated by ELISA against recombinant PSMA and by flow cytometry on LNCaP (PSMA+) and DU145 (PSMA-). For tissue studies, FFPE IHC quantified staining as fractional fluorescent area per mm². Results: PSMA-Nb (~27 kDa) was enriched in E. coli inclusion bodies. A factorial screen identified Rosetta (DE3) with 1 mM IPTG at 37 °C for 16 h as the highest-expressing condition; resulting in a yield of approximately 84 mg/L. ELISA showed dose-dependent binding to recombinant PSMA, and flow cytometry confirmed antigen selectivity (LNCaP 68.5% vs. DU145 2.35%). IHC showed higher PSMA levels in tumor vs. normal tissue with both reagents (PSMA-Nb: 21.61±2.89 vs. 5.82±1.80; commercial antibody: 20.55±3.80 vs. 5.50±2.14; P&lt;0.0001), with no difference between reagents (P=0.9624), supporting analytical validity. Conclusion: The superior features of nanobodies support antibody-based diagnostics in solid tumors. Purified PSMA-Nb detected PSMA on cancer cells and FFPE tissues, indicating a promising tool for prostate cancer diagnosis.  </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Escherichia coli</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Expression optimization</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Immunohistochemistry</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Nanobody</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">PSMA</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>