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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Avicenna J Med Biotech</journal-id>
      <journal-id journal-id-type="publisher-id">arij002</journal-id>
      <journal-title-group>
        <journal-title>Avicenna Journal of Medical Biotechnology</journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2008-2835</issn>
      <issn pub-type="epub">2008-4625</issn>
      <publisher>
        <publisher-name>Avicenna Research Institute</publisher-name>
      </publisher>
    </journal-meta>

    <article-meta>
      <article-id pub-id-type="publisher-id">ajmb60610</article-id>
      <article-id pub-id-type="doi"></article-id>
      <article-id pub-id-type="pmid"></article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
             <subject></subject> 
        </subj-group>
        <subj-group>
            <subject></subject>
        </subj-group> 
      </article-categories>
      <title-group>
        <article-title>Optimization of RfxCas13d Expression in Escherichia coli Host using Response Surface Methodology</article-title>
      </title-group>
        <contrib-group><contrib contrib-type="author"><name><surname>Abbaszadeh </surname><given-names>Sepideh</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Eghbalsaied </surname><given-names>Shahin</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Soleimani</surname><given-names>Meysam</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Khazalpour</surname><given-names>Sadegh</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Afshar </surname><given-names>Saeid</given-names></name></contrib></contrib-group>
      <pub-date pub-type="ppub">
        <day></day>
        <month></month>
        <year></year>
      </pub-date>
      <pub-date pub-type="epub">
        <day></day>
        <month></month>
        <year></year>
      </pub-date>
      <volume>17</volume>
      <issue>2</issue>
      <fpage>122</fpage>
      <lpage>130</lpage>
      <history>
        <date date-type="received">
          <day>4</day>
          <month>9</month>
          <year>2024</year>
        </date>
        <date date-type="accepted">
          <day>4</day>
          <month>3</month>
          <year>2025</year>
        </date>
      </history>
      <abstract>
      <p>
      &lt;p style=&quot;text-align:justify&quot;&gt;&lt;span style=&quot;font-size:11pt&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt;Background:&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; RfxCas13d, a key member of the Cas13 family, plays a vital role in CRISPR-based diagnostics for RNA sequence detection and gene silencing. This study aimed to enhance RfxCas13d expression by optimizing key parameters using Response Surface Methodology (RSM).&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;span style=&quot;font-size:11pt&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt;Methods:&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; The plasmid pET28b-RfxCas13d-His (Addgene 141322) was introduced into BL21 (DE3) and Rosetta&amp;trade; (DE3) strains. Initial expression tests were conducted, followed by RSM-guided optimization of factors such as isopropyl &amp;beta;-D-1-thiogalactopyranoside (IPTG) concentration, temperature, cell density at induction, and induction time in BL21 (DE3). Protein expression levels were quantified using ImageJ and AlphaEaseFC software to analyze band intensities.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;span style=&quot;font-size:11pt&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt;Results:&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; BL21 (DE3) was selected for further optimization based on preliminary results. Analysis of 26 RSM-designed experiments revealed that temperature, induction time, IPTG concentration, and their interactions significantly influenced &lt;em&gt;RfxCas13d&lt;/em&gt; expression. Optimal conditions were identified as 0.25 &lt;em&gt;mM&lt;/em&gt; IPTG, an OD600 &lt;em&gt;nm&lt;/em&gt; of 0.8 at induction, 37&lt;em&gt;&amp;deg;C&lt;/em&gt;, and Overnight (ON) of induction. The regression model exhibited high accuracy, with a correlation coefficient of 0.97 and a p-value less than 0.05, confirming a strong linear relationship between predicted and observed values. &lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=&quot;text-align:justify&quot;&gt;&lt;span style=&quot;font-size:11pt&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt;Conclusion:&lt;/span&gt;&lt;/strong&gt;&lt;span style=&quot;font-size:10.0pt&quot;&gt; This study highlights the significant impact of the four optimized factors on &lt;em&gt;RfxCas13d&lt;/em&gt; expression. Under optimized conditions, a soluble protein concentration of 3.6 &lt;em&gt;mg&lt;/em&gt;/100 &lt;em&gt;ml&lt;/em&gt; cell culture was achieved after purification. It represents the first application of RSM for optimizing &lt;em&gt;RfxCas13d&lt;/em&gt; expression, providing a foundation for further refinement of expression conditions. Continued use of RSM in future research will enhance the efficiency of RfxCas13d production for diagnostic and therapeutic applications.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;

      </p>
      </abstract>
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