| Autor: |
Zdenka Dudová, Nathalie Conte, Jeremy Mason, Dalibor Stuchlík, Radim Peša, Csaba Halmagyi, Zinaida Perova, Abayomi Mosaku, Ross Thorne, Alex Follette, Ľuboslav Pivarč, Radim Šašinka, Muhammad Usman, Steven Neuhauser, Dale A. Begley, Debra M. Krupke, Massimiliano Frassà, Alessandro Fiori, Riccardo Corsi, Luca Vezzadini, Claudio Isella, Andrea Bertotti, Carol Bult, Helen Parkinson, Enzo Medico, Terrence Meehan, Aleš Křenek |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
BMC Genomics, Vol 23, Iss 1, Pp 1-11 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2164 |
| DOI: |
10.1186/s12864-022-08367-1 |
| Popis: |
Abstract 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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