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Systems biology of Ewing sarcoma: a network model of EWS-FLI1 effect on proliferation and apoptosis

Ewing sarcoma is the second most frequent pediatric bone tumor. In most of the patients, a chromosomal translocation leads to the expression of the EWS-FLI1 chimeric transcription factor that is the major oncogene in this pathology. Relative genetic simplicity of Ewing sarcoma makes it particularly...

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Autores principales: Stoll, Gautier, Surdez, Didier, Tirode, Franck, Laud, Karine, Barillot, Emmanuel, Zinovyev, Andrei, Delattre, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799442/
https://www.ncbi.nlm.nih.gov/pubmed/23935076
http://dx.doi.org/10.1093/nar/gkt678
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author Stoll, Gautier
Surdez, Didier
Tirode, Franck
Laud, Karine
Barillot, Emmanuel
Zinovyev, Andrei
Delattre, Olivier
author_facet Stoll, Gautier
Surdez, Didier
Tirode, Franck
Laud, Karine
Barillot, Emmanuel
Zinovyev, Andrei
Delattre, Olivier
author_sort Stoll, Gautier
collection PubMed
description Ewing sarcoma is the second most frequent pediatric bone tumor. In most of the patients, a chromosomal translocation leads to the expression of the EWS-FLI1 chimeric transcription factor that is the major oncogene in this pathology. Relative genetic simplicity of Ewing sarcoma makes it particularly attractive for studying cancer in a systemic manner. Silencing EWS-FLI1 induces cell cycle alteration and ultimately leads to apoptosis, but the exact molecular mechanisms underlying this phenotype are unclear. In this study, a network linking EWS-FLI1 to cell cycle and apoptosis phenotypes was constructed through an original method of network reconstruction. Transcriptome time-series after EWS-FLI1 silencing were used to identify core modulated genes by an original scoring method based on fitting expression profile dynamics curves. Literature data mining was then used to connect these modulated genes into a network. The validity of a subpart of this network was assessed by siRNA/RT-QPCR experiments on four additional Ewing cell lines and confirmed most of the links. Based on the network and the transcriptome data, CUL1 was identified as a new potential target of EWS-FLI1. Altogether, using an original methodology of data integration, we provide the first version of EWS-FLI1 network model of cell cycle and apoptosis regulation.
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spelling pubmed-37994422013-10-21 Systems biology of Ewing sarcoma: a network model of EWS-FLI1 effect on proliferation and apoptosis Stoll, Gautier Surdez, Didier Tirode, Franck Laud, Karine Barillot, Emmanuel Zinovyev, Andrei Delattre, Olivier Nucleic Acids Res Computational Biology Ewing sarcoma is the second most frequent pediatric bone tumor. In most of the patients, a chromosomal translocation leads to the expression of the EWS-FLI1 chimeric transcription factor that is the major oncogene in this pathology. Relative genetic simplicity of Ewing sarcoma makes it particularly attractive for studying cancer in a systemic manner. Silencing EWS-FLI1 induces cell cycle alteration and ultimately leads to apoptosis, but the exact molecular mechanisms underlying this phenotype are unclear. In this study, a network linking EWS-FLI1 to cell cycle and apoptosis phenotypes was constructed through an original method of network reconstruction. Transcriptome time-series after EWS-FLI1 silencing were used to identify core modulated genes by an original scoring method based on fitting expression profile dynamics curves. Literature data mining was then used to connect these modulated genes into a network. The validity of a subpart of this network was assessed by siRNA/RT-QPCR experiments on four additional Ewing cell lines and confirmed most of the links. Based on the network and the transcriptome data, CUL1 was identified as a new potential target of EWS-FLI1. Altogether, using an original methodology of data integration, we provide the first version of EWS-FLI1 network model of cell cycle and apoptosis regulation. Oxford University Press 2013-10 2013-08-08 /pmc/articles/PMC3799442/ /pubmed/23935076 http://dx.doi.org/10.1093/nar/gkt678 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Stoll, Gautier
Surdez, Didier
Tirode, Franck
Laud, Karine
Barillot, Emmanuel
Zinovyev, Andrei
Delattre, Olivier
Systems biology of Ewing sarcoma: a network model of EWS-FLI1 effect on proliferation and apoptosis
title Systems biology of Ewing sarcoma: a network model of EWS-FLI1 effect on proliferation and apoptosis
title_full Systems biology of Ewing sarcoma: a network model of EWS-FLI1 effect on proliferation and apoptosis
title_fullStr Systems biology of Ewing sarcoma: a network model of EWS-FLI1 effect on proliferation and apoptosis
title_full_unstemmed Systems biology of Ewing sarcoma: a network model of EWS-FLI1 effect on proliferation and apoptosis
title_short Systems biology of Ewing sarcoma: a network model of EWS-FLI1 effect on proliferation and apoptosis
title_sort systems biology of ewing sarcoma: a network model of ews-fli1 effect on proliferation and apoptosis
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3799442/
https://www.ncbi.nlm.nih.gov/pubmed/23935076
http://dx.doi.org/10.1093/nar/gkt678
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