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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">ajmb10371</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>
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      </article-categories>
      <title-group>
        <article-title>Optimization of Fermentation Conditions for Reteplase Expression by Escherichia coli Using Response Surface Methodology</article-title>
      </title-group>
        <contrib-group><contrib contrib-type="author"><name><surname>Zare</surname><given-names>Hamze</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Mir Mohammad Sadeghi</surname><given-names>Hamid</given-names></name></contrib><aff>Government College of Pharmacy, Bengaluru, India</aff></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Akbari</surname><given-names>Vajihe</given-names></name></contrib><aff>Department of Parasitology, Pasteur Institute of Iran, Tehran, Iran</aff></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>11</volume>
      <issue>2</issue>
      <fpage>162</fpage>
      <lpage>168</lpage>
      <history>
        <date date-type="received">
          <day>9</day>
          <month>6</month>
          <year>2018</year>
        </date>
        <date date-type="accepted">
          <day>27</day>
          <month>8</month>
          <year>2018</year>
        </date>
      </history>
      <abstract>
      <p>
      &lt;p&gt;Background: Expression of heterologous proteins at large scale is often a challenging job due to plasmid instability, accumulation of acetate and oxidative damage in bioreactors. Therefore, it is necessary to optimize parameters influencing cell growth and expression of recombinant protein.&amp;nbsp;&amp;nbsp;&lt;br /&gt;
Methods: In the present study, the optimal culture conditions for expression of reteplase by &lt;em&gt;Escherichia coli (E. coli)&lt;/em&gt; BL21 (DE3) in a bench-top bioreactor was determined. Response Surface Methodology (RSM) based on Box-Behnken design was used to evaluate the effect of three variables (&lt;em&gt;i.e&lt;/em&gt;., temperature, shaking speed and pH) and their interactions with cellular growth and protein production. The obtained data were analyzed by Design Expert software.&lt;br /&gt;
Results: Based on results of 15 experiments, a response surface quadratic model was developed which was used to explain the relation between production of reteplase and three investigated variables. The high value of &amp;quot;R-Squared&amp;quot; (0.9894) and F-value of 51.99 confirmed the accuracy of this model. According to the developed model, the optimum fermentation conditions for reteplase expression were temperature of 32&amp;deg;&lt;em&gt;C&lt;/em&gt;, shaking speed of 210 &lt;em&gt;rpm&lt;/em&gt;, and pH of 8.4. This predicted condition was applied for the production of reteplase in the bioreactor leading to a protein yield of 188 &lt;em&gt;mg/l&lt;/em&gt;.&lt;br /&gt;
Conclusion: Our results indicate the significant role of culture conditions (&lt;em&gt;e.g&lt;/em&gt;., pH, temperature and oxygen supply) in protein expression at large scale and confirm the need for optimization. The proposed strategy here can also be applied to experimental set-up of optimization for fermentation of other proteins.&lt;/p&gt;

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      </abstract>
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