Analysis of interactions between the epigenome and structural mutability of the genome using Genboree workbench tools

Cristian Coarfa, Christina Stewart Pichot, Andrew Jackson, Arpit Tandon, Viren Amin, Sriram Raghuraman, Sameer Paithankar, Adrian V. Lee, Sean E. McGuire, Aleksandar Milosavljevic

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Background: Interactions between the epigenome and structural genomic variation are potentially bi-directional. In one direction, structural variants may cause epigenomic changes in cis. In the other direction, specific local epigenomic states such as DNA hypomethylation associate with local genomic instability. Methods: To study these interactions, we have developed several tools and exposed them to the scientific community using the Software-as-a-Service model via the Genboree Workbench. One key tool is Breakout, an algorithm for fast and accurate detection of structural variants from mate pair sequencing data. Results: By applying Breakout and other Genboree Workbench tools we map breakpoints in breast and prostate cancer cell lines and tumors, discriminate between polymorphic breakpoints of germline origin and those of somatic origin, and analyze both types of breakpoints in the context of the Human Epigenome Atlas, ENCODE databases, and other sources of epigenomic profiles. We confirm previous findings that genomic instability in human germline associates with hypomethylation of DNA, binding sites of Suz12, a key member of the PRC2 Polycomb complex, and with PRC2-associated histone marks H3K27me3 and H3K9me3. Breakpoints in germline and in breast cancer associate with distal regulatory of active gene transcription. Breast cancer cell lines and tumors show distinct patterns of structural mutability depending on their ER, PR, or HER2 status. Conclusions: The patterns of association that we detected suggest that cell-type specific epigenomes may determine cell-type specific patterns of selective structural mutability of the genome.

Original languageEnglish (US)
Article numberS2
Pages (from-to)1-12
Number of pages12
JournalBMC bioinformatics
Volume15
DOIs
StatePublished - 2014

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics

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