Extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer

Ovarian cancer is the deadliest gynecological cancer, due to its late diagnosis resulting in unsuccessful treatment. An earlier diagnosis at a stage, when the disease is still treatable, would improve the chances of survival immensely. To achieve such an early diagnosis extracellular vesicles (EVs)...

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Main Author: Reiner, Agnes
Other Authors: Bo Liedberg
Format: Theses and Dissertations
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/88119
http://hdl.handle.net/10220/45648
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-881192020-11-01T04:52:31Z Extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer Reiner, Agnes Bo Liedberg Interdisciplinary Graduate School (IGS) International Graduate School Bio-Nano-Technology, A*STAR Institute of Medical Biology, Austrian Institute of Technology. University of Natural Resources and Life Sciences Wolfgang Knoll DRNTU::Science::Medicine::Biosensors Ovarian cancer is the deadliest gynecological cancer, due to its late diagnosis resulting in unsuccessful treatment. An earlier diagnosis at a stage, when the disease is still treatable, would improve the chances of survival immensely. To achieve such an early diagnosis extracellular vesicles (EVs) have been proposed as a new class of biomarkers, but the currently used methods for their isolation and analysis lack in specificity and sensitivity. Hence this project aimed to identify new EV-based biomarkers for an improved diagnosis of ovarian cancer by usage of lipid-binding proteins for EV isolation and to develop new highly sensitive biosensors for EV detection based on surface plasmon resonance (SPR). We achieved our aim by identifying a subpopulation of EVs that carries a distinct lipid and protein composition as candidate biomarker for ovarian cancer and will validate its value for clinical application in subsequent studies. Furthermore, we developed a plasmonic biosensor platform that was capable of detecting trace amounts of EVs by making use of magnetic nanoparticles for signal enhancement. The specific detection of cancer-derived EVs with this sensing platform will be studied in future. Doctor of Philosophy 2018-08-23T05:30:50Z 2019-12-06T16:56:26Z 2018-08-23T05:30:50Z 2019-12-06T16:56:26Z 2018 Thesis Reiner, A. (2018). Extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/88119 http://hdl.handle.net/10220/45648 10.32657/10220/45648 en 145 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Medicine::Biosensors
spellingShingle DRNTU::Science::Medicine::Biosensors
Reiner, Agnes
Extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer
description Ovarian cancer is the deadliest gynecological cancer, due to its late diagnosis resulting in unsuccessful treatment. An earlier diagnosis at a stage, when the disease is still treatable, would improve the chances of survival immensely. To achieve such an early diagnosis extracellular vesicles (EVs) have been proposed as a new class of biomarkers, but the currently used methods for their isolation and analysis lack in specificity and sensitivity. Hence this project aimed to identify new EV-based biomarkers for an improved diagnosis of ovarian cancer by usage of lipid-binding proteins for EV isolation and to develop new highly sensitive biosensors for EV detection based on surface plasmon resonance (SPR). We achieved our aim by identifying a subpopulation of EVs that carries a distinct lipid and protein composition as candidate biomarker for ovarian cancer and will validate its value for clinical application in subsequent studies. Furthermore, we developed a plasmonic biosensor platform that was capable of detecting trace amounts of EVs by making use of magnetic nanoparticles for signal enhancement. The specific detection of cancer-derived EVs with this sensing platform will be studied in future.
author2 Bo Liedberg
author_facet Bo Liedberg
Reiner, Agnes
format Theses and Dissertations
author Reiner, Agnes
author_sort Reiner, Agnes
title Extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer
title_short Extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer
title_full Extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer
title_fullStr Extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer
title_full_unstemmed Extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer
title_sort extracellular vesicles and their detection with plasmonic bionsensors for the diagnosis of ovarian cancer
publishDate 2018
url https://hdl.handle.net/10356/88119
http://hdl.handle.net/10220/45648
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