Cargando…

Visualizing Molecular Profiles of Glioblastoma with GBM-BioDP

Validation of clinical biomarkers and response to therapy is a challenging topic in cancer research. An important source of information for virtual validation is the datasets generated from multi-center cancer research projects such as The Cancer Genome Atlas project (TCGA). These data enable invest...

Descripción completa

Detalles Bibliográficos
Autores principales: Celiku, Orieta, Johnson, Seth, Zhao, Shuping, Camphausen, Kevin, Shankavaram, Uma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091869/
https://www.ncbi.nlm.nih.gov/pubmed/25010047
http://dx.doi.org/10.1371/journal.pone.0101239
_version_ 1782480809538617344
author Celiku, Orieta
Johnson, Seth
Zhao, Shuping
Camphausen, Kevin
Shankavaram, Uma
author_facet Celiku, Orieta
Johnson, Seth
Zhao, Shuping
Camphausen, Kevin
Shankavaram, Uma
author_sort Celiku, Orieta
collection PubMed
description Validation of clinical biomarkers and response to therapy is a challenging topic in cancer research. An important source of information for virtual validation is the datasets generated from multi-center cancer research projects such as The Cancer Genome Atlas project (TCGA). These data enable investigation of genetic and epigenetic changes responsible for cancer onset and progression, response to cancer therapies, and discovery of the molecular profiles of various cancers. However, these analyses often require bulk download of data and substantial bioinformatics expertise, which can be intimidating for investigators. Here, we report on the development of a new resource available to scientists: a data base called Glioblastoma Bio Discovery Portal (GBM-BioDP). GBM-BioDP is a free web-accessible resource that hosts a subset of the glioblastoma TCGA data and enables an intuitive query and interactive display of the resultant data. This resource provides visualization tools for the exploration of gene, miRNA, and protein expression, differential expression within the subtypes of GBM, and potential associations with clinical outcome, which are useful for virtual biological validation. The tool may also enable generation of hypotheses on how therapies impact GBM molecular profiles, which can help in personalization of treatment for optimal outcome. The resource can be accessed freely at http://gbm-biodp.nci.nih.gov (a tutorial is included).
format Online
Article
Text
id pubmed-4091869
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-40918692014-07-18 Visualizing Molecular Profiles of Glioblastoma with GBM-BioDP Celiku, Orieta Johnson, Seth Zhao, Shuping Camphausen, Kevin Shankavaram, Uma PLoS One Research Article Validation of clinical biomarkers and response to therapy is a challenging topic in cancer research. An important source of information for virtual validation is the datasets generated from multi-center cancer research projects such as The Cancer Genome Atlas project (TCGA). These data enable investigation of genetic and epigenetic changes responsible for cancer onset and progression, response to cancer therapies, and discovery of the molecular profiles of various cancers. However, these analyses often require bulk download of data and substantial bioinformatics expertise, which can be intimidating for investigators. Here, we report on the development of a new resource available to scientists: a data base called Glioblastoma Bio Discovery Portal (GBM-BioDP). GBM-BioDP is a free web-accessible resource that hosts a subset of the glioblastoma TCGA data and enables an intuitive query and interactive display of the resultant data. This resource provides visualization tools for the exploration of gene, miRNA, and protein expression, differential expression within the subtypes of GBM, and potential associations with clinical outcome, which are useful for virtual biological validation. The tool may also enable generation of hypotheses on how therapies impact GBM molecular profiles, which can help in personalization of treatment for optimal outcome. The resource can be accessed freely at http://gbm-biodp.nci.nih.gov (a tutorial is included). Public Library of Science 2014-07-10 /pmc/articles/PMC4091869/ /pubmed/25010047 http://dx.doi.org/10.1371/journal.pone.0101239 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Celiku, Orieta
Johnson, Seth
Zhao, Shuping
Camphausen, Kevin
Shankavaram, Uma
Visualizing Molecular Profiles of Glioblastoma with GBM-BioDP
title Visualizing Molecular Profiles of Glioblastoma with GBM-BioDP
title_full Visualizing Molecular Profiles of Glioblastoma with GBM-BioDP
title_fullStr Visualizing Molecular Profiles of Glioblastoma with GBM-BioDP
title_full_unstemmed Visualizing Molecular Profiles of Glioblastoma with GBM-BioDP
title_short Visualizing Molecular Profiles of Glioblastoma with GBM-BioDP
title_sort visualizing molecular profiles of glioblastoma with gbm-biodp
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091869/
https://www.ncbi.nlm.nih.gov/pubmed/25010047
http://dx.doi.org/10.1371/journal.pone.0101239
work_keys_str_mv AT celikuorieta visualizingmolecularprofilesofglioblastomawithgbmbiodp
AT johnsonseth visualizingmolecularprofilesofglioblastomawithgbmbiodp
AT zhaoshuping visualizingmolecularprofilesofglioblastomawithgbmbiodp
AT camphausenkevin visualizingmolecularprofilesofglioblastomawithgbmbiodp
AT shankavaramuma visualizingmolecularprofilesofglioblastomawithgbmbiodp