Multiplexed profiling of extracellular vesicles for biomarker development
Extracellular vesicles (EVs) are cell-derived membranous particles that play a crucial role in molecular trafficking, intercellular transport and the egress of unwanted proteins. They have been implicated in many diseases including cancer and neurodegeneration. EVs are detected in all bodily fluids,...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
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Springer
2021
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| _version_ | 1797060034937487360 |
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| author | Jiang, C Fu, Y Liu, G Shu, B Davis, J Tofaris, GK |
| author_facet | Jiang, C Fu, Y Liu, G Shu, B Davis, J Tofaris, GK |
| author_sort | Jiang, C |
| collection | OXFORD |
| description | Extracellular vesicles (EVs) are cell-derived membranous particles that play a crucial role in molecular trafficking, intercellular transport and the egress of unwanted proteins. They have been implicated in many diseases including cancer and neurodegeneration. EVs are detected in all bodily fluids, and their protein and nucleic acid content offers a means of assessing the status of the cells from which they originated. As such, they provide opportunities in biomarker discovery for diagnosis, prognosis or the stratification of diseases as well as an objective monitoring of therapies. The simultaneous assaying of multiple EV-derived markers will be required for an impactful practical application, and multiplexing platforms have evolved with the potential to achieve this. Herein, we provide a comprehensive overview of the currently available multiplexing platforms for EV analysis, with a primary focus on miniaturized and integrated devices that offer potential step changes in analytical power, throughput and consistency.
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| first_indexed | 2024-03-06T20:12:05Z |
| format | Journal article |
| id | oxford-uuid:2ae969c7-68da-4cdb-bf4e-a368a142e53d |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T20:12:05Z |
| publishDate | 2021 |
| publisher | Springer |
| record_format | dspace |
| spelling | oxford-uuid:2ae969c7-68da-4cdb-bf4e-a368a142e53d2022-03-26T12:27:51ZMultiplexed profiling of extracellular vesicles for biomarker developmentJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:2ae969c7-68da-4cdb-bf4e-a368a142e53dEnglishSymplectic ElementsSpringer2021Jiang, CFu, YLiu, GShu, BDavis, JTofaris, GKExtracellular vesicles (EVs) are cell-derived membranous particles that play a crucial role in molecular trafficking, intercellular transport and the egress of unwanted proteins. They have been implicated in many diseases including cancer and neurodegeneration. EVs are detected in all bodily fluids, and their protein and nucleic acid content offers a means of assessing the status of the cells from which they originated. As such, they provide opportunities in biomarker discovery for diagnosis, prognosis or the stratification of diseases as well as an objective monitoring of therapies. The simultaneous assaying of multiple EV-derived markers will be required for an impactful practical application, and multiplexing platforms have evolved with the potential to achieve this. Herein, we provide a comprehensive overview of the currently available multiplexing platforms for EV analysis, with a primary focus on miniaturized and integrated devices that offer potential step changes in analytical power, throughput and consistency. |
| spellingShingle | Jiang, C Fu, Y Liu, G Shu, B Davis, J Tofaris, GK Multiplexed profiling of extracellular vesicles for biomarker development |
| title | Multiplexed profiling of extracellular vesicles for biomarker development |
| title_full | Multiplexed profiling of extracellular vesicles for biomarker development |
| title_fullStr | Multiplexed profiling of extracellular vesicles for biomarker development |
| title_full_unstemmed | Multiplexed profiling of extracellular vesicles for biomarker development |
| title_short | Multiplexed profiling of extracellular vesicles for biomarker development |
| title_sort | multiplexed profiling of extracellular vesicles for biomarker development |
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