Nanosensors for regenerative medicine
Assessing biodistribution, fate, and function of implanted therapeutic cells in preclinical animal experiments is critical to realize safe, effective and efficient treatments for subsequent implementation within the clinic. Currently, tissue histology, the most prevalent analytical technique to meet...
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| Format: | Journal Article |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/105133 http://hdl.handle.net/10220/20457 http://dx.doi.org/10.1166/jbn.2014.1992 |
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| author | Yeo, David C. Wiraja, Christian Mantalaris, Athanasios (Sakis) Xu, Chenjie |
| author2 | School of Chemical and Biomedical Engineering |
| author_facet | School of Chemical and Biomedical Engineering Yeo, David C. Wiraja, Christian Mantalaris, Athanasios (Sakis) Xu, Chenjie |
| author_sort | Yeo, David C. |
| collection | NTU |
| description | Assessing biodistribution, fate, and function of implanted therapeutic cells in preclinical animal experiments is critical to realize safe, effective and efficient treatments for subsequent implementation within the clinic. Currently, tissue histology, the most prevalent analytical technique to meet this need, is limited by end-point analysis, high cost and long preparation time. Moreover, it is disadvantaged by an inability to monitor in real-time, qualitative interpretation and ethical issues arising from animal sacrifice. While genetic engineering techniques allow cells to express molecules with detectable signals (e.g., fluorescence, luminescence, T1 (spin–lattice)/T2 (spin–spin) contrast in magnetic resonance imaging, radionuclide), concerns arise regarding technical complexity, high-cost of genetic manipulation, as well as mutagenic cell dysfunction. Alternatively, cells can be labeled using nanoparticle-sensors—nanosensors that emit signals to identify cell location, status and function in a simple, cost-effective, and non-genetic manner. This review article provides the definition, classification, evolution, and applications of nanosensor technology and focuses on how they can be utilized in regenerative medicine. Several examples of direct applications include: (1) monitoring post-transplantation cell behavior, (2) revealing host response following foreign biomaterial implantation, and (3) optimization of cell bioprocess operating conditions. Incorporating nanosensors is expected to expedite the development of cell-based regenerative medicine therapeutics. |
| first_indexed | 2025-02-19T03:20:22Z |
| format | Journal Article |
| id | ntu-10356/105133 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:20:22Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1051332019-12-06T21:46:24Z Nanosensors for regenerative medicine Yeo, David C. Wiraja, Christian Mantalaris, Athanasios (Sakis) Xu, Chenjie School of Chemical and Biomedical Engineering DRNTU::Engineering::Nanotechnology Assessing biodistribution, fate, and function of implanted therapeutic cells in preclinical animal experiments is critical to realize safe, effective and efficient treatments for subsequent implementation within the clinic. Currently, tissue histology, the most prevalent analytical technique to meet this need, is limited by end-point analysis, high cost and long preparation time. Moreover, it is disadvantaged by an inability to monitor in real-time, qualitative interpretation and ethical issues arising from animal sacrifice. While genetic engineering techniques allow cells to express molecules with detectable signals (e.g., fluorescence, luminescence, T1 (spin–lattice)/T2 (spin–spin) contrast in magnetic resonance imaging, radionuclide), concerns arise regarding technical complexity, high-cost of genetic manipulation, as well as mutagenic cell dysfunction. Alternatively, cells can be labeled using nanoparticle-sensors—nanosensors that emit signals to identify cell location, status and function in a simple, cost-effective, and non-genetic manner. This review article provides the definition, classification, evolution, and applications of nanosensor technology and focuses on how they can be utilized in regenerative medicine. Several examples of direct applications include: (1) monitoring post-transplantation cell behavior, (2) revealing host response following foreign biomaterial implantation, and (3) optimization of cell bioprocess operating conditions. Incorporating nanosensors is expected to expedite the development of cell-based regenerative medicine therapeutics. 2014-09-04T06:58:04Z 2019-12-06T21:46:24Z 2014-09-04T06:58:04Z 2019-12-06T21:46:24Z 2014 2014 Journal Article Yeo, D. C., Wiraja, C., Mantalaris, A., & Xu, C. (2014). Nanosensors for regenerative medicine. Journal of biomedical nanotechnology, 10(10), 2722-2746. 1550-7033 https://hdl.handle.net/10356/105133 http://hdl.handle.net/10220/20457 http://dx.doi.org/10.1166/jbn.2014.1992 en Journal of biomedical nanotechnology © 2014 American Scientific Publishers. |
| spellingShingle | DRNTU::Engineering::Nanotechnology Yeo, David C. Wiraja, Christian Mantalaris, Athanasios (Sakis) Xu, Chenjie Nanosensors for regenerative medicine |
| title | Nanosensors for regenerative medicine |
| title_full | Nanosensors for regenerative medicine |
| title_fullStr | Nanosensors for regenerative medicine |
| title_full_unstemmed | Nanosensors for regenerative medicine |
| title_short | Nanosensors for regenerative medicine |
| title_sort | nanosensors for regenerative medicine |
| topic | DRNTU::Engineering::Nanotechnology |
| url | https://hdl.handle.net/10356/105133 http://hdl.handle.net/10220/20457 http://dx.doi.org/10.1166/jbn.2014.1992 |
| work_keys_str_mv | AT yeodavidc nanosensorsforregenerativemedicine AT wirajachristian nanosensorsforregenerativemedicine AT mantalarisathanasiossakis nanosensorsforregenerativemedicine AT xuchenjie nanosensorsforregenerativemedicine |