<?xml version="1.0" encoding="UTF-8" ?>

    <journal>
    <language>en</language>
    <journal_id_issn>2008-2835</journal_id_issn>
    <journal_id_issn_online>2008-4625</journal_id_issn_online>
    <journal_id_pii></journal_id_pii>
    <journal_id_doi></journal_id_doi>
    <journal_id_isnet></journal_id_isnet>
    <journal_id_iranmedex>276</journal_id_iranmedex>
    <journal_id_magiran>5669</journal_id_magiran>
    <journal_id_sid>11181</journal_id_sid>
    <pubdate>
	    <type>gregorian</type>
	    <year>>2019</year>
	    <month>>April-June</month>
	    <day></day>
    </pubdate>
    <volume>11</volume>
    <number>2</number>
    <publish_type>online</publish_type>
    <publish_edition>1</publish_edition>
    <article_type>fulltext</article_type>
    <articleset>

<article>
	<language>en</language>
	<article_id_issn></article_id_issn>
	<article_id_issn_online></article_id_issn_online>
	<article_id_pubmed>31057718</article_id_pubmed>
	<article_id_pii></article_id_pii>
	<article_id_doi></article_id_doi>
	<article_id_iranmedex></article_id_iranmedex>
	<article_id_magiran></article_id_magiran>
	<article_id_sid></article_id_sid>
	<title_fa></title_fa>
	<title>Optimization of Fermentation Conditions for Reteplase Expression by Escherichia coli Using Response Surface Methodology</title>
	<subject_fa></subject_fa>
	<subject></subject>
	<content_type_fa></content_type_fa>
	<content_type></content_type>
	<abstract_fa></abstract_fa>
	<abstract>&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;
</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Bioreactors, Escherichia coli, Fermentation, Reteplase</keyword>
	<start_page>162</start_page>
	<end_page>168</end_page>
	<web_url>https://www.ajmb.org/En/Article.aspx?id=10371</web_url>
    <pdf_url>https://www.ajmb.org/PDF/En/FullText/10371.pdf</pdf_url>
	<author_list><author><first_name>Hamze</first_name><middle_name></middle_name><last_name>Zare</last_name><suffix></suffix><affiliation>Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran</affiliation><first_name_fa></first_name_fa><middle_name_fa></middle_name_fa><last_name_fa></last_name_fa><suffix_fa></suffix_fa><email></email><code>21491</code><coreauthor></coreauthor><affiliation_fa></affiliation_fa></author><author><first_name>Hamid</first_name><middle_name></middle_name><last_name>Mir Mohammad Sadeghi</last_name><suffix></suffix><affiliation>Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran</affiliation><first_name_fa></first_name_fa><middle_name_fa></middle_name_fa><last_name_fa></last_name_fa><suffix_fa></suffix_fa><email></email><code>302</code><coreauthor></coreauthor><affiliation_fa></affiliation_fa></author><author><first_name>Vajihe</first_name><middle_name></middle_name><last_name>Akbari</last_name><suffix></suffix><affiliation>Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences, Isfahan, Iran</affiliation><first_name_fa></first_name_fa><middle_name_fa></middle_name_fa><last_name_fa></last_name_fa><suffix_fa></suffix_fa><email></email><code>273</code><coreauthor></coreauthor><affiliation_fa></affiliation_fa></author></author_list>
</article>

</articleset>
</journal>

