<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE124545" accession="SRP174999">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP174999</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA512468</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE124545</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>NextGen microRNA sequencing of mouse plasma collected from myocardial infarction mice and sham mice</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Many microRNA expression levels in plasma are greatly changed after mouse myocardial infarction. We aim to find out the steadily-expressed microRNAs in plasma under hypoxia and normoxia, so as to be further utilized for normalization of microRNA expression detection. Overall design: Plasma microRNA profiles of myocardial infarcted mice and normal mice were generated by deep sequencing, in duplicate, using Illumina GAIIx. This method calculates a normalization factor based on multiple reference miRNAs for more accurate and reliable normalization of miRNA expression data. It is based on the principle that the expression ratio of two reference miRNAs (using standard deviation of log-transformed reference miRNA ratios) should be identical in all samples. Stability measures will be returned which are the average pairwise variation between a particular reference miRNA and all other reference miRNAs using stepwise exclusion of the worst scoring miRNAs. The ten miRNAs with the best miRNA stability measures are listed as long as their value is less than 1.5.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE124545</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>30814518</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
