<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE85710" accession="SRP082226">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP082226</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA339147</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE85710</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Next Generation Sequencing Facilitates Quantitative Analysis of miR-29b-1 and miR-29a targets in CHO-K1 cells</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>The goal of this experiment was to identify the putative mRNA targets of miR-29b-1 and miR-29a in CHO-K1 cells Overall design: Methods: CHO-K1 cells were transfected, in three separate experiments, with pre-miR-29b-1, pre-miR-29a, or anti-miR-29a (which blocks both miR-29b-1 and miR-29a).  RNA seq profiles were generated by deep sequencing, in triplicate, using Illumina Nextseq500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cuffdiff.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE85710</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>28137615</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
