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Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes

In vivo and in vitro functional phenotyping characterization was recently obtained with reference to an experimental pan-cancer study of 22 osteosarcoma (OS) cell lines. Here, differentially expressed gene (DEG) profiles were recomputed from the publicly available data to conduct network inference o...

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Detalles Bibliográficos
Autores principales: Sharma, Ankush, Capobianco, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533255/
https://www.ncbi.nlm.nih.gov/pubmed/28804242
http://dx.doi.org/10.1177/1176935117721691
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author Sharma, Ankush
Capobianco, Enrico
author_facet Sharma, Ankush
Capobianco, Enrico
author_sort Sharma, Ankush
collection PubMed
description In vivo and in vitro functional phenotyping characterization was recently obtained with reference to an experimental pan-cancer study of 22 osteosarcoma (OS) cell lines. Here, differentially expressed gene (DEG) profiles were recomputed from the publicly available data to conduct network inference on the immune system regulatory activity across the characterized OS phenotypes. Based on such DEG profiles, and for each phenotype that was analyzed, we obtained coexpression networks and bio-annotations for them. Then, we described the immune-modulated influences in phenotype-specific networks’ integrating pathway, transcription factor, and microRNA regulations. Overall, this approach seems suitable for representing heterogeneity in OS tumorigenesis.
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spelling pubmed-55332552017-08-11 Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes Sharma, Ankush Capobianco, Enrico Cancer Inform Original Research In vivo and in vitro functional phenotyping characterization was recently obtained with reference to an experimental pan-cancer study of 22 osteosarcoma (OS) cell lines. Here, differentially expressed gene (DEG) profiles were recomputed from the publicly available data to conduct network inference on the immune system regulatory activity across the characterized OS phenotypes. Based on such DEG profiles, and for each phenotype that was analyzed, we obtained coexpression networks and bio-annotations for them. Then, we described the immune-modulated influences in phenotype-specific networks’ integrating pathway, transcription factor, and microRNA regulations. Overall, this approach seems suitable for representing heterogeneity in OS tumorigenesis. SAGE Publications 2017-07-26 /pmc/articles/PMC5533255/ /pubmed/28804242 http://dx.doi.org/10.1177/1176935117721691 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Sharma, Ankush
Capobianco, Enrico
Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes
title Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes
title_full Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes
title_fullStr Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes
title_full_unstemmed Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes
title_short Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes
title_sort immuno-oncology integrative networks: elucidating the influences of osteosarcoma phenotypes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533255/
https://www.ncbi.nlm.nih.gov/pubmed/28804242
http://dx.doi.org/10.1177/1176935117721691
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