<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE186112" accession="SRP342076">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP342076</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA772680</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE186112</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Next Generation Sequencing Facilitates Quantitative Analysis of MED23-knockdown and Control HUVEC Cells Transcriptomes</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Purpose: RNA-seq analysis to evaluate the impact of MED23 knockdown on the transcriptome of HUVEC cells.Methods: Total RNA was isolated with TRIzol from Med23 knockdown HUVECs (n = 3) or control cells (n = 3). cDNA sequencing libraries were prepared with an NEBNext® Ultra™ RNA Library Prep Kit for Illumina. The RNA-Seq FASTQ raw data were trimmed to remove low-quality reads and adapters using Trimmomatic. The trimmed reads were aligned to the mouse reference genome UCSC GRCh37/hg19 with HISAT2. Gene and transcript quantification was performed using Cutdiff. The results of the mapping of the RNA-seq reads, transcript assembly and abundance estimation were reported as fragments per kilobase of exon per million fragments mapped (FPKM). Overall design: mRNA profiles of  MED23-knockdown HUVEC cells (n = 3) or control cells (n = 3).</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE186112</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>35440711</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
