OrgXenomics: an integrated proteomic knowledge base for patient-derived organoid and xenograft
Patient-derived models (PDMs, particularly organoids and xenografts) are irreplaceable tools for precision medicine, from target development to lead identification, then to preclinical evaluation, and finally to clinical decision-making. So far, PDM-based proteomics has emerged to be one of the cutting-edge directions and massive data have been accumulated. However, such PDM-based proteomic data have not been provided by any of the available databases, and proteomics profiles of all proteins in proteomic study are also completely absent from existing databases. Herein, an integrated database named 'OrgXenomics' was thus developed to provide the proteomic data for PDMs, which was unique in (a) explicitly describing the establishment detail for a wide array of models, (b) systematically providing the proteomic profiles (expression/function/interaction) for all proteins in studied proteomic analysis and (c) comprehensively giving the raw data for diverse organoid/xenograft-based proteomic studies of various diseases. Our OrgXenomics was expected to server as one good complement to existing proteomic databases, and had great implication for the practice of precision medicine, which could be accessed at: https://idrblab.org/orgxenomics/.
Authors
- Shuiping Liu (ORCID: https://orcid.org/0000-0002-8831-7947)
- Lin Tao (ORCID: https://orcid.org/0000-0001-7494-4758)
- Yintao Zhang (ORCID: https://orcid.org/0000-0002-5263-3438)
- Ying Zhou (ORCID: https://orcid.org/0000-0003-2778-555X)
- Xichen Lian
- Tingting Fu (ORCID: https://orcid.org/0000-0003-3902-9049)
- Hao Zhang (ORCID: https://orcid.org/0000-0002-4364-6624)
- Hangwei Xu
- Feng Zhu (ORCID: https://orcid.org/0000-0001-8069-0053)
- Sisi Zhu (ORCID: https://orcid.org/0000-0001-8631-1069)
- Ziheng Ni
Institutions
- Hangzhou Normal University (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
- Zhejiang University (CN)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1093/nar/gkae861
- Citations
- 2
- Primary Topic
- Cancer, Hypoxia, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- National Natural Science Foundation of China
- Zhejiang University
- National Key Research and Development Program of China
- Natural Science Foundation of Zhejiang Province