<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE124473" accession="SRP174655">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP174655</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA512115</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE124473</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>D-galactosamine (GalN) and lipopolysaccharide (LPS) effect on GBP5 deficient liver</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Purpose: The goal of this study is to compare transcriptome profilings of liver from GBP5 knockout and WT control mice treated with GalN/LPS. Methods: GBP5 knockout and WT control mice were treated with GalN (800 µg/g body weight) and LPS (100 ng/g body weight) for 6 h to induce liver inflammation and injury. RNA samples were pooled from livers of GBP5 KO and WT mice (n=4 for each group). RNA-seq was performed by using HiSeq X Ten platform. Paired-end clean reads were aligned to the mouse reference genome (Ensembl_GRCm38.89) with TopHat (version 2.0.12), and the aligned reads were used to quantify mRNA expression by using HTSeq-count (version 0.6.1). Conclusion: Our study represents the first detailed analysis of liver transcriptomes from GBP5 KO and WT mice treated with GalN/LPS, generated by RNA-seq technology. The RNA-seq analysis showed that 405 genes were down-regulated and 33 genes were up-regulated in the liver of GBP5 KO mice. GO analysis showed that the down-regulated genes were primarily related to the immune system process and response to stress. KEGG pathway enrichment analysis showed that phagocytosis and Jak-STAT signaling pathway were significantly decreased in the liver of GBP5 KO mice. Overall design: RNA samples were pooled from livers of GBP5 KO and WT mice (n=4 for each group). mRNA profiles of GBP5 KO and WT livers treated with GalN/LPS were generated by deep sequencing, in a single test, using HiSeq X Ten platform.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE124473</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>34958688</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
