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Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer

Cancer researchers often seek user-friendly interactive tools for validation, exploration, analysis, and visualization of molecular profiles in cancer patient samples. To aid researchers working on the both low- and high-grade gliomas, we developed Glioma-BioDP, a web tool for exploration and visual...

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Autores principales: Deng, Xiang, Das, Shaoli, Kaur, Harpreet, Wilson, Evan, Camphausen, Kevin, Shankavaram, Uma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350252/
https://www.ncbi.nlm.nih.gov/pubmed/37454191
http://dx.doi.org/10.1186/s12920-023-01593-w
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author Deng, Xiang
Das, Shaoli
Kaur, Harpreet
Wilson, Evan
Camphausen, Kevin
Shankavaram, Uma
author_facet Deng, Xiang
Das, Shaoli
Kaur, Harpreet
Wilson, Evan
Camphausen, Kevin
Shankavaram, Uma
author_sort Deng, Xiang
collection PubMed
description Cancer researchers often seek user-friendly interactive tools for validation, exploration, analysis, and visualization of molecular profiles in cancer patient samples. To aid researchers working on the both low- and high-grade gliomas, we developed Glioma-BioDP, a web tool for exploration and visualization of RNA and protein expression profiles of interest in these tumor types. Glioma-BioDP is user friendly application that include expression data from both the low- and high-grade glioma patient samples from The Cancer Genome Atlas and enabled querying by mRNA, microRNA, and protein level expression data from Illumina HiSeq and RPPA platforms respectively. Glioma-BioDP provides advance query interface and enables users to explore the association of genes, proteins, and miRNA expression with molecular and/or histological subtypes of gliomas, surgical resection status and survival. The prognostic significance and visualization of the selected expression profiles can be explored using interactive utilities provided. This tool may also enable validation and generation of new hypotheses of novel therapies impacting gliomas that aid in personalization of treatment for optimum outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01593-w.
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spelling pubmed-103502522023-07-17 Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer Deng, Xiang Das, Shaoli Kaur, Harpreet Wilson, Evan Camphausen, Kevin Shankavaram, Uma BMC Med Genomics Database Cancer researchers often seek user-friendly interactive tools for validation, exploration, analysis, and visualization of molecular profiles in cancer patient samples. To aid researchers working on the both low- and high-grade gliomas, we developed Glioma-BioDP, a web tool for exploration and visualization of RNA and protein expression profiles of interest in these tumor types. Glioma-BioDP is user friendly application that include expression data from both the low- and high-grade glioma patient samples from The Cancer Genome Atlas and enabled querying by mRNA, microRNA, and protein level expression data from Illumina HiSeq and RPPA platforms respectively. Glioma-BioDP provides advance query interface and enables users to explore the association of genes, proteins, and miRNA expression with molecular and/or histological subtypes of gliomas, surgical resection status and survival. The prognostic significance and visualization of the selected expression profiles can be explored using interactive utilities provided. This tool may also enable validation and generation of new hypotheses of novel therapies impacting gliomas that aid in personalization of treatment for optimum outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01593-w. BioMed Central 2023-07-15 /pmc/articles/PMC10350252/ /pubmed/37454191 http://dx.doi.org/10.1186/s12920-023-01593-w Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Database
Deng, Xiang
Das, Shaoli
Kaur, Harpreet
Wilson, Evan
Camphausen, Kevin
Shankavaram, Uma
Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer
title Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer
title_full Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer
title_fullStr Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer
title_full_unstemmed Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer
title_short Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer
title_sort glioma-biodp: database for visualization of molecular profiles to improve prognosis of brain cancer
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350252/
https://www.ncbi.nlm.nih.gov/pubmed/37454191
http://dx.doi.org/10.1186/s12920-023-01593-w
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