<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE104127" accession="SRP118600">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP118600</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA411777</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE104127</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Next Generation Sequencing Analysis of WT and Hectd3–/– BMDMs during F. novicida infection</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Purpose: The goals of this study are to compare NGS-derived WT and Hectd3–/– transcrip profiling (RNA-seq) in the absence and presence of F. novicida infection Methods: Bone marrow derived macrophages (BMDMs) from WT and Hectd3–/– mice were infected with F .novicida for 8 and 12 hours.  mRNA profiles  were generated by deep sequencing using Illumina GAIIx. Results: Using an optimized data analysis workflow, we mapped about 80 million sequence reads per sample (around 95% clean reads were successfully mapped) to the mouse genome and identified 22,589 transcripts in the WT and Hectd3–/– BMDMs with or without F. novicida infection. Conclusions: Our study represents the first detailed analysis of HECTD3 deficiency regulated gene expression in response to F. novicida infection generated by RNA-seq technology. Our results demonstrated that the type I IFN signaling induced by F. novicida infection was impaired in the absence of HECTD3. Overall design: mRNA profiles of  WT and Hectd3–/– BMDMs with or without F. novicida infection for 8 and 12 h were generated by deep sequencing,  using Illumina Hiseq platform.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE104127</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>29920190</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
