<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE174476" accession="SRP319879">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP319879</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA730022</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE174476</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Next-Generation Sequencing Facilitates Quantitative Analysis of Interferon-Stimulated MEFs Transcriptomes [RNA-Seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived interferon-stimulated MEF cells transcriptome profiling (RNA-seq). Overall design: mRNA profiles of interferon-stimulated MEF cells derived from H3.3-HA knock-in mice were generated by deep sequencing, using Illumina HiSeq2000.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE174476</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA730025</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
