<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY alias="ena-STUDY-ULAVAL-11-06-2015-13:56:26:000-10" center_name="ULAVAL" accession="ERP010716">
    <IDENTIFIERS>
      <PRIMARY_ID>ERP010716</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject">PRJEB9592</EXTERNAL_ID>
      <SUBMITTER_ID namespace="ULAVAL">ena-STUDY-ULAVAL-11-06-2015-13:56:26:000-10</SUBMITTER_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Cos-Seq screening for deciphering antileishmanial drug resistance pathways and mode of action.</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>The emergence and spread of resistance remain a major threat in the control of neglected tropical diseases and new tools are needed for a better comprehension of resistance mechanisms for refining prevailing therapies and the development of innovative strategies. We report a sensitive method for the identification of resistance and drug target genes in Leishmania using cosmid-based enrichment coupled to next-generation sequencing, termed Cos-Seq. Cos-Seq applied to six major antileishmanials further identified more than sixty loci enriched in a drug-specific or common fashion and most of these were linked to drug resistance</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME/>
      <STUDY_DESCRIPTION>The emergence and spread of resistance remain a major threat in the control of neglected tropical diseases and new tools are needed for a better comprehension of resistance mechanisms for refining prevailing therapies and the development of innovative strategies. We report a sensitive method for the identification of resistance and drug target genes in Leishmania using cosmid-based enrichment coupled to next-generation sequencing, termed Cos-Seq. Cos-Seq applied to six major antileishmanials further identified more than sixty loci enriched in a drug-specific or common fashion and most of these were linked to drug resistance</STUDY_DESCRIPTION>
    </DESCRIPTOR>
  </STUDY>
</STUDY_SET>
