Cancer cell line specific co-factors modulate the FOXM1 cistrome

Yue Wang1,2, Matthew H Ung2, Tian Xia1

  • 1School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.

Oncotarget
|November 5, 2017
PubMed

Insights

Transcription factor (TF) binding patterns can differ significantly between cell types, even within the same tissue. Co-factor interactions, like estrogen receptor alpha (ERα), play a crucial role in determining TF binding and function.

Area of Science:

  • Molecular Biology
  • Genomics
  • Cancer Research

Background:

  • Chromatin immunoprecipitation sequencing (ChIP-seq) is widely used to map transcription factor (TF) binding sites.
  • It is generally assumed that TFs exhibit similar binding patterns across related tissues, an assumption rarely tested.
  • The cell cycle regulator FOXM1 is crucial in various cancers.

Purpose of the Study:

  • To systematically compare the genomic binding patterns of FOXM1 across diverse human cell lines and tissues.
  • To investigate the influence of co-factors, specifically estrogen receptor alpha (ERα), on FOXM1 binding.
  • To understand how FOXM1 activity and function vary depending on cellular context.

Main Methods:

  • Systematic comparison of FOXM1 ChIP-seq data across eight cell lines from seven human tissues.
  • Analysis of binding signal, peak distribution, and target gene occupancy.
  • Correlation of FOXM1 binding patterns with the presence and activity of ERα.

Main Results:

  • FOXM1 binding patterns in the ER-positive MCF-7 breast cancer cell line were distinct from other cell lines, including the ER-negative MDA-MB-231.
  • FOXM1 binding in MDA-MB-231 and non-breast cell lines showed high consistency.
  • Estrogen receptor alpha (ERα) recruitment was identified as the cause for unique FOXM1 binding in MCF-7 cells.
  • FOXM1 activity in MCF-7 reflected ERα regulatory functions, while in other cell lines, it regulated cell proliferation.

Conclusions:

  • Tissue similarity is not always the primary determinant of TF binding patterns; TF-cofactor interactions can be more influential.
  • Specific co-factors, such as ERα, can dramatically alter a TF's genomic binding and functional output.
  • Understanding context-specific TF binding is critical for deciphering transcriptional regulation in different cell types and diseases.

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