Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene Expression in Human Rhabdomyosarcoma

ABSTRACT: Gene expression analysis identified unique transcriptional changes in rhabdomyosarcoma when compared with normal muscle. Our studies focused on a gene called VANGL2 that regulated growth and self-renewal in embryonal rhabdomyosarcoma.

ORGANISM(S): Homo sapiens

PROVIDER: GSE108022 | GEO | 2018/03/06

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

A mouse model of rhabdomyosarcoma originating from the adipocyte lineage

Project description:Activation of Sonic Hedgehog signaling through expression of a constitutively active Smoothened allele under control of an aP2 adipocyte-restricted transgene in mice gives rise to aggressive skeletal muscle tumors that display the histologic and molecular characteristics of human embryonal rhabdomyosarcoma with high penetrance. Conditional mouse models of embryonal rhabdomyosarcoma were created by activation of the oncogenic SmoM2 allele by both the non-muscle aP2-Cre or myotube Myogenin-Cre.

2012-10-22 | E-GEOD-40359 | biostudies-arrayexpress

Histone deacetylase inhibitors antagonize distinct pathways to suppress tumorigenesis of embryonal rhabdomyosarcoma.

Project description:Embryonal rhabdomyosarcoma (ERMS) is the most common soft tissue cancer in children and is characterized by myogenic differentiation arrest. The prognosis of patients with relapsed or metastatic disease remains poor. ERMS genomes show few recurrent mutations, suggesting that other molecular mechanisms such as epigenetic regulation might play major role in driving ERMS tumor biology. In this study, we have demonstrated the diverse roles of HDACs in the pathogenesis of ERMS by characterizing effects of HDAC inhibitors, trichostatin A (TSA) and suberoylanilide hydroxamic acid (SAHA; also known as vorinostat) in vitro and in vivo. TSA and SAHA suppress ERMS tumor growth and progression by inducing myogenic differentiation as well as reducing the self-renewal and migratory capacity of ERMS cells. To identify candidate genes that are differentially regulated in histone deacetylase inhibitor-treated embryonal rhabdomyosarcoma, a gene expression profiling study using the Affymetrix Human Gene 2.0 microarray platform and ingenuity pathway analysis of differentially expressed genes were performed on RD and 381T cells treated with trichostatin A or dimethyl sulfoxide (treatment vehicle).

2015-12-21 | E-GEOD-74970 | biostudies-arrayexpress

Mouse Models of Alveolar/Embryonal Rhabdomyosarcoma & Spindle Cell Sarcomas

Project description:A series of conditional mouse models of embryonal rhabdomyosarcoma, alveolar rhabdomyosarcoma and spindle cell sarcoma were generated and validated for relavence to corresponding human cancers. Conditional mouse models of embryonal rhabdomyosarcoma, alveolar rhabdomyosarcoma and spindle cell sarcoma were created by activation or deletion of Pax3:Fkhr, p53, Ptch1 or Rb1 genes.

2011-02-17 | E-GEOD-22520 | biostudies-arrayexpress

pediatric sarcoma: rhabdomyosarcoma & Ewing's sarcoma

Project description:Affymetrx U95Av2 GeneChip hybridizations, RNA extracted from primary human pediatric alveolar (aRMS) and embryonal (eRMS) rhabdomyosarcoma, plus primary pediatric Ewing's sarcoma (EWS) Keywords = pediatric sarcoma Keywords = Ewing's sarcoma Keywords = rhabdomyosarcoma Keywords: other

2004-03-13 | GSE967 | GEO

A mouse model of rhabdomyosarcoma originating from the adipocyte lineage

2012-10-22 | GSE40359 | GEO

Mouse Models of Alveolar/Embryonal Rhabdomyosarcoma & Spindle Cell Sarcomas

2011-02-17 | GSE22520 | GEO

Histone deacetylase inhibitors antagonize distinct pathways to suppress tumorigenesis of embryonal rhabdomyosarcoma.

2015-12-21 | GSE74970 | GEO

SNP array data for embryonal rhabdomyosarcoma in a patient with Costello syndrome

Project description:Affymetrix SNP array data for embryonal rhabdomyosarcoma in a patient with Costello syndrome

2015-06-12 | GSE41297 | GEO

Effect of genomic imbalances on gene expression in rhabdomyosarcoma

Project description:Rhabdomyosarcoma (RMS) is the most common paediatric soft-tissue sarcoma and resembles developing skeletal muscle. Specific genomic alterations including translocations, deletions and amplification events have been associated with the alveolar and embryonal subtypes of RMS. Characterizing these changes has led to increased understanding of the underlying molecular biology. However, further aberrations and their significance remain to be defined. Genomic copy number variations have been shown to affect the level of transcription in several tumor types. In this study, we have combined array comparative genomic hybridization analysis of 13 RMS cell lines, supported by confirmatory PCR analyses, with their corresponding expression profiles. This identified sets of genes that are altered in their level of expression by genomic imbalances. We also show that the effect on gene expression was proportional to the level of genomic gain or loss. Keywords: Rhabdomyosarcoma cell lines will be added later on

2009-06-04 | E-GEOD-8840 | biostudies-arrayexpress

Endothelial and Alveolar Rhabdomyosarcoma mRNA expression

Project description:Frozen skeletal muscle, tumor adjacent skeletal muscle, Endothelial Rhabdomyosarcoma (ERMS) and Alveolar Rhabdomyosarcoma (ARMS) samples were profiled on Illumina bead array. Total RNA from primary resected samples were profiled to allow comparison of 1) normal skeletal muscle tissue with RMS samples and 2) ARMS with ERMS tumors.

2013-12-31 | E-GEOD-28511 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data