<node id="667674">
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  <type>external_news</type>
  <uid>
    <user id="34434"><![CDATA[34434]]></user>
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  <created>1683558666</created>
  <changed>1683558666</changed>
  <title><![CDATA[Application of a quantitative framework to improve the accuracy of a bacterial infection model]]></title>
  <body><![CDATA[<p>Model systems are a cornerstone of microbiology. However, despite microbiology’s heavy reliance on laboratory models, these systems are typically not analyzed systematically to improve their relevance. This limitation is a primary challenge to understand microbes’ physiology in natural environments. This study, which includes members of Georgia Tech's <a href="https://microdynamics.gatech.edu">Center for Microbial Dynamics and Infection (CMDI)</a>, provides a proof of concept for generalizable approaches for model improvement using transcriptomic data of the pathogen&nbsp;<em>Pseudomonas aeruginosa</em>&nbsp;from sputum of patients with cystic fibrosis. The study's researchers include <a href="https://biosciences.gatech.edu/people/marvin-whiteley">Marvin Whiteley</a>, professor in the <a href="https://biosciences.gatech.edu">School of Biological Sciences</a>, Georgia Tech Bennie H. and Nelson D. Abell Chair in Molecular and Cellular Biology, <a href="https://gra.org">Georgia Research Alliance</a>&nbsp;Eminent Scholar, and Co-Director, Emory-Children’s Cystic Fibrosis Center; Other School of Biological Sciences and CMDI researchers include&nbsp;<a href="https://microdynamics.gatech.edu/gina-lewin-june-2021">Gina R. Lewin</a>, postdoctoral scholar, and research scientists&nbsp;<a href="https://biosciences.gatech.edu/people/daniel-cornforth">Daniel Cornforth</a>&nbsp;and <a href="https://biosciences.gatech.edu/people/frances-diggle">Francis Diggle</a>.&nbsp;</p>
]]></body>
  <field_article_url>
    <item>
      <url><![CDATA[https://www.pnas.org/doi/10.1073/pnas.2221542120]]></url>
      <title><![CDATA[]]></title>
    </item>
  </field_article_url>
  <field_publication>
    <item>
      <value><![CDATA[ Proceedings of the National Academy of Sciences  ]]></value>
    </item>
  </field_publication>
  <field_dateline>
    <item>
      <value>2023-05-01</value>
      <timezone></timezone>
    </item>
  </field_dateline>
  <field_media>
        </field_media>
  <og_groups>
          <item>1278</item>
          <item>1275</item>
      </og_groups>
  <og_groups_both>
          <item><![CDATA[College of Sciences]]></item>
          <item><![CDATA[School of Biological Sciences]]></item>
      </og_groups_both>
    <field_userdata><![CDATA[]]></field_userdata>
</node>
