<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE168602" accession="SRP310070">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP310070</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA712993</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE168602</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Gene expression profiling during  treatment of COLO205 cells with selumetinib</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Here, we investigate gene expression response of the BRAFV600E mutant cell line COLO205  to the MEK inhibitor selumetinib / AZD6244 / ARRY-142886.   Although selumetinib causes long term G1 arrest, we observe cells stochastically entering the cell cycle without re-activation of ERK and initiation of a normal proliferative gene expression programme.   Genes encoding DNA replication and repair factors are downregulated during G1 arrest, but many of these are transiently induced when cells escaping arrest enter S and G2.   Nonetheless, mRNAs encoding key DNA replication factors including the MCM replicative helicase complex, PCNA and TIPIN remain at very low abundance. Overall design: 1) An mRNA-seq timecourse of COLO205 cells across 48 hours selumetinib treatment. 2) COLO205 cells either untreated or treated 24 hours with 1 µM selumetinib were glyoxal fixed and stained for CCNB1 then flow sorted into CCNB1 positive and CCNB1 negative fractions, RNA extracted and mRNA-seq performed. Equivalent cell populations were pulsed for 4 hours with EdU, stained and sorted into EdU negative and positive cohorts that were then used for mRNA-seq.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE168602</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>36267209</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA712989</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
