Cell ReportsGenomicsPeer-reviewed journal article
Systematic multi-omics cell line profiling uncovers principles of Ewing sarcoma fusion oncogene-mediated gene regulation
Martin F. OrthiD, Didier SurdeziD, Tobias FaehlingiD, Anna C. EhlersiD, Aruna MarchettoiD, Sandrine GrossetêteiD, Richard VolckmanniD, Danny A. ZwijnenburgiD, Julia S. GerkeiD, Sakina ZaïdiiD, Javier AlonsoiD, Ana Sastre, Sylvain BaulandeiD, Martin SilliD, Florencia Cidre‐AranaziD, Shunya OhmuraiD, Thomas KirchneriD, Stefanie M. HauckiD, Eva ReischliD, Melissa GymrekiD, Stefan Michael PfisteriD, Konstantin StrauchiD, Jan KösteriD, Olivier DelattreiD, Thomas G. P. GrünewaldiD
Abstract
Cell lines have been essential for major discoveries in cancer including Ewing sarcoma (EwS). EwS is a highly aggressive pediatric bone or soft-tissue cancer characterized by oncogenic EWSR1-ETS fusion transcription factors converting polymorphic GGAA-microsatellites (mSats) into neo-enhancers. However, further detailed mechanistic evaluation of gene regulation in EwS have been hindered by the limited number of well-characterized cell line models. Here, we present the Ewing Sarcoma Cell Line Atlas (ESCLA) comprising 18 EwS cell lines with inducible EWSR1-ETS knockdown that were profiled by whole-genome-sequencing, DNA methylation arrays, gene expression and splicing arrays, mass spectrometry-based proteomics, and ChIP-seq for EWSR1-ETS and histone marks. Systematic analysis of these multi-dimensional data illuminated hundreds of new potential EWSR1-ETS target genes, the nature of EWSR1-ETS-preferred GGAA-mSats, and potential indirect modes of EWSR1-ETS-mediated gene regulation. Moreover, we identified putative co-regulatory transcription factors and heterogeneously regulated EWSR1-ETS target genes that may have implications for the clinical heterogeneity of EwS. Collectively, our freely available ESCLA constitutes an extremely rich resource for EwS research and highlights the power of leveraging multidimensional and comprehensive datasets to unravel principles of heterogeneous gene regulation by dominant fusion oncogenes.
- organism: human
- assay: whole-genome sequencing
- assay: DNA methylation
- assay: bulk RNA-seq
- assay: proteomics
- research focus: database / resource
- approach: statistical model
- Citations
- 88
- FWCI
- 10.64
- Field percentile
- top 1%
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