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The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization

BACKGROUND: Patient-derived xenografts (PDX) mice models play an important role in preclinical trials and personalized medicine. Sharing data on the models is highly valuable for numerous reasons – ethical, economical, research cross validation etc. The EurOPDX Consortium was established 8 years ago...

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Autores principales: Dudová, Zdenka, Conte, Nathalie, Mason, Jeremy, Stuchlík, Dalibor, Peša, Radim, Halmagyi, Csaba, Perova, Zinaida, Mosaku, Abayomi, Thorne, Ross, Follette, Alex, Pivarč, Ľuboslav, Šašinka, Radim, Usman, Muhammad, Neuhauser, Steven, Begley, Dale A., Krupke, Debra M., Frassà, Massimiliano, Fiori, Alessandro, Corsi, Riccardo, Vezzadini, Luca, Isella, Claudio, Bertotti, Andrea, Bult, Carol, Parkinson, Helen, Medico, Enzo, Meehan, Terrence, Křenek, Aleš
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8862363/
https://www.ncbi.nlm.nih.gov/pubmed/35193494
http://dx.doi.org/10.1186/s12864-022-08367-1
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author Dudová, Zdenka
Conte, Nathalie
Mason, Jeremy
Stuchlík, Dalibor
Peša, Radim
Halmagyi, Csaba
Perova, Zinaida
Mosaku, Abayomi
Thorne, Ross
Follette, Alex
Pivarč, Ľuboslav
Šašinka, Radim
Usman, Muhammad
Neuhauser, Steven
Begley, Dale A.
Krupke, Debra M.
Frassà, Massimiliano
Fiori, Alessandro
Corsi, Riccardo
Vezzadini, Luca
Isella, Claudio
Bertotti, Andrea
Bult, Carol
Parkinson, Helen
Medico, Enzo
Meehan, Terrence
Křenek, Aleš
author_facet Dudová, Zdenka
Conte, Nathalie
Mason, Jeremy
Stuchlík, Dalibor
Peša, Radim
Halmagyi, Csaba
Perova, Zinaida
Mosaku, Abayomi
Thorne, Ross
Follette, Alex
Pivarč, Ľuboslav
Šašinka, Radim
Usman, Muhammad
Neuhauser, Steven
Begley, Dale A.
Krupke, Debra M.
Frassà, Massimiliano
Fiori, Alessandro
Corsi, Riccardo
Vezzadini, Luca
Isella, Claudio
Bertotti, Andrea
Bult, Carol
Parkinson, Helen
Medico, Enzo
Meehan, Terrence
Křenek, Aleš
author_sort Dudová, Zdenka
collection PubMed
description BACKGROUND: Patient-derived xenografts (PDX) mice models play an important role in preclinical trials and personalized medicine. Sharing data on the models is highly valuable for numerous reasons – ethical, economical, research cross validation etc. The EurOPDX Consortium was established 8 years ago to share such information and avoid duplicating efforts in developing new PDX mice models and unify approaches to support preclinical research. EurOPDX Data Portal is the unified data sharing platform adopted by the Consortium. MAIN BODY: In this paper we describe the main features of the EurOPDX Data Portal (https://dataportal.europdx.eu/), its architecture and possible utilization by researchers who look for PDX mice models for their research. The Portal offers a catalogue of European models accessible on a cooperative basis. The models are searchable by metadata, and a detailed view provides molecular profiles (gene expression, mutation, copy number alteration) and treatment studies. The Portal displays the data in multiple tools (PDX Finder, cBioPortal, and GenomeCruzer in future), which are populated from a common database displaying strictly mutually consistent views. (SHORT) CONCLUSION: EurOPDX Data Portal is an entry point to the EurOPDX Research Infrastructure offering PDX mice models for collaborative research, (meta)data describing their features and deep molecular data analysis according to users’ interests.
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spelling pubmed-88623632022-02-23 The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization Dudová, Zdenka Conte, Nathalie Mason, Jeremy Stuchlík, Dalibor Peša, Radim Halmagyi, Csaba Perova, Zinaida Mosaku, Abayomi Thorne, Ross Follette, Alex Pivarč, Ľuboslav Šašinka, Radim Usman, Muhammad Neuhauser, Steven Begley, Dale A. Krupke, Debra M. Frassà, Massimiliano Fiori, Alessandro Corsi, Riccardo Vezzadini, Luca Isella, Claudio Bertotti, Andrea Bult, Carol Parkinson, Helen Medico, Enzo Meehan, Terrence Křenek, Aleš BMC Genomics Database BACKGROUND: Patient-derived xenografts (PDX) mice models play an important role in preclinical trials and personalized medicine. Sharing data on the models is highly valuable for numerous reasons – ethical, economical, research cross validation etc. The EurOPDX Consortium was established 8 years ago to share such information and avoid duplicating efforts in developing new PDX mice models and unify approaches to support preclinical research. EurOPDX Data Portal is the unified data sharing platform adopted by the Consortium. MAIN BODY: In this paper we describe the main features of the EurOPDX Data Portal (https://dataportal.europdx.eu/), its architecture and possible utilization by researchers who look for PDX mice models for their research. The Portal offers a catalogue of European models accessible on a cooperative basis. The models are searchable by metadata, and a detailed view provides molecular profiles (gene expression, mutation, copy number alteration) and treatment studies. The Portal displays the data in multiple tools (PDX Finder, cBioPortal, and GenomeCruzer in future), which are populated from a common database displaying strictly mutually consistent views. (SHORT) CONCLUSION: EurOPDX Data Portal is an entry point to the EurOPDX Research Infrastructure offering PDX mice models for collaborative research, (meta)data describing their features and deep molecular data analysis according to users’ interests. BioMed Central 2022-02-22 /pmc/articles/PMC8862363/ /pubmed/35193494 http://dx.doi.org/10.1186/s12864-022-08367-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Dudová, Zdenka
Conte, Nathalie
Mason, Jeremy
Stuchlík, Dalibor
Peša, Radim
Halmagyi, Csaba
Perova, Zinaida
Mosaku, Abayomi
Thorne, Ross
Follette, Alex
Pivarč, Ľuboslav
Šašinka, Radim
Usman, Muhammad
Neuhauser, Steven
Begley, Dale A.
Krupke, Debra M.
Frassà, Massimiliano
Fiori, Alessandro
Corsi, Riccardo
Vezzadini, Luca
Isella, Claudio
Bertotti, Andrea
Bult, Carol
Parkinson, Helen
Medico, Enzo
Meehan, Terrence
Křenek, Aleš
The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization
title The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization
title_full The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization
title_fullStr The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization
title_full_unstemmed The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization
title_short The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization
title_sort europdx data portal: an open platform for patient-derived cancer xenograft data sharing and visualization
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8862363/
https://www.ncbi.nlm.nih.gov/pubmed/35193494
http://dx.doi.org/10.1186/s12864-022-08367-1
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