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Series GSE176190 Query DataSets for GSE176190
Status Public on Jun 09, 2021
Title The Ewing Sarcoma Cell Line Atlas (ESCLA) - expression profiling of 18 Ewing sarcoma cell lines in EWSR1-ETS-high versus -low condition
Organism Homo sapiens
Experiment type Expression profiling by array
Summary 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, 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.
 
Overall design 18 established Ewing sarcoma cell lines were stably transduced with an inducible shRNA expressing construct targeting the EWSR1-ETS fusion of the respective cell line. EWSR1-ETS knockdown was induced by the addition of 1 µg doxycycline to growth medium for 96 h. Total RNA was isolated from three replicates treated with doxycycline and three controls. The transcriptome was profiled on Affymetrix Clariom D Human microarrays. Raw data were processed using the Transcriptome Analysis Console (version 4.0) by ThermoFisher, the SST-RMA analysis algorithm and the manufacturer's array description file (version 2).

Please note that the sample data tables (containing normalized data) and GSM5359685 CEL file have been updated on June 9th, 2022.
 
Contributor(s) Orth MF, Surdez D, Grossetête S, Delattre O, Grünewald TG
Citation(s) 36476851
https://0-doi-org.brum.beds.ac.uk/10.1101/2021.06.08.447518
Submission date Jun 04, 2021
Last update date Dec 26, 2022
Contact name Thomas Georg Philipp Grunewald
E-mail(s) t.gruenewald@kitz-heidelberg.de
Phone 0049-6221-423718
Organization name German Cancer Research Center (DKFZ)
Department Division of Translational Pediatric Sarcoma Research
Street address Im Neuenheimer Feld 280
City Heidelberg
ZIP/Postal code 69120
Country Germany
 
Platforms (1)
GPL23126 [Clariom_D_Human] Affymetrix Human Clariom D Assay [transcript (gene) version]
Samples (108)
GSM5359628 A673_EETS_high_rep1
GSM5359629 A673_EETS_high_rep2
GSM5359630 A673_EETS_high_rep3
This SubSeries is part of SuperSeries:
GSE176339 The Ewing Sarcoma Cell Line Atlas (ESCLA)
Relations
BioProject PRJNA735247

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE176190_RAW.tar 2.6 Gb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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