Reprogrammed Cells in Disease Modeling and Drug Discovery
A special issue of Cells (ISSN 2073-4409).
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 16558
Special Issue Editors
Interests: cell reprogramming; telomerase and telomeres; patient-derived models; cell therapies; living biobanks
Special Issues, Collections and Topics in MDPI journals
Interests: stem cells; cell data management, extracellular matrix; kidney organoids; regenerative medicine; ethics of organoids
Special Issue Information
Dear Colleagues,
Traditional cancer models, including cell lines and animal models, have been widely used, but have seen limited applications in both basic and clinical cancer research. Patient-derived model systems are needed for modeling human diseases and precision medicine. Genomics-based precision oncology only helps 2%–20% patients with solid cancer, and as such functional diagnostics and patient-derived models are needed for precision cancer biology. Induced pluripotent stem cells (iPS), organoids, and conditional reprogramming (CR) are currently widely used for patient-derived cell models for disease and precision medicine. Both organoids and CR technologies have been cited in two NCI programs—PDMR (patient-derived cancer model repository) and HCMI (human cancer model initiatives), the latter of which will be distributed through ATCC. These cells can be easily manipulated in vitro, thus these patient-derived cells could be used for next-generation disease models. In this Special Issue, we will focus on the applications of cell reprogramming technologies (including iPS, CR, Organoids, and others) in disease modeling including cancer, inflammatory, genetic diseases, infectious diseases (virus infection models), and drug discovery.
Prof. Xuefeng Liu,
Prof. Andreas Kurtz,
Prof. Kyung Sun Kang,
Guest Editors
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Keywords
- patient-derived cells
- iPS (induced pluripotent stem cells)
- CRC (conditionally reprogrammed cells)
- organoids
- human diseases
- disease modeling
- cancer models
- drug discovery
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