Assessment of Glial Fibrillary Acidic Protein Binding to the Surface of Leukocytes with Dark‐Field Imaging and Computational Analysis. (20th January 2021)
- Record Type:
- Journal Article
- Title:
- Assessment of Glial Fibrillary Acidic Protein Binding to the Surface of Leukocytes with Dark‐Field Imaging and Computational Analysis. (20th January 2021)
- Main Title:
- Assessment of Glial Fibrillary Acidic Protein Binding to the Surface of Leukocytes with Dark‐Field Imaging and Computational Analysis
- Authors:
- Peng, Fei
Jeong, Sinyoung
Gonzalez, German
Marks, Haley
Ho, Alexander
Roussakis, Emmanuel
Krauledat, Petra B.
Hansen, Peter
Evans, Conor L. - Abstract:
- Abstract: The glial fibrillary acidic protein (GFAP) is widely established as a traumatic brain injury (TBI) biomarker and can be used in early diagnosis. As essential primary human immune cells, leukocytes are recruited to injured cerebral sites during TBI response, where they can interact with and potentially bind to TBI biomarkers. To date, no studies have demonstrated ultra‐low GFAP binding enumeration on leukocytes. Herein, a dark‐field imaging technique coupled with computational analysis is introduced to quantify GFAP bound to peripheral blood mononuclear cells (PBMCs). Dark‐field microscopy (DFM) with a custom‐written image acquisition software is developed for rapid 3D PBMC imaging by utilizing specific antiGFAP monoclonal antibody functionalized gold nanoparticles (antiGFAP‐AuNPs) as contrast‐generating probes. Subsequently, the developed algorithm is utilized in processing thousands of acquired images for rapid visualization and enumeration of bound antiGFAP‐AuNP on each leukocyte. The proposed method is demonstrates the specific binding of GFAP to the surface of PBMCs on a healthy donor blood. Thereafter, subpopulations of PBMCs with antiGFAP‐AuNP binding are identified with the assistance of fluorescence imaging and DFM imaging, paving a new way to understanding the relationship between TBI and leukocyte classes. Hence, this study offers a rapid and ultra‐sensitive strategy for biomarker assessment following TBI. Abstract : Traumatic brain injury (TBI) withoutAbstract: The glial fibrillary acidic protein (GFAP) is widely established as a traumatic brain injury (TBI) biomarker and can be used in early diagnosis. As essential primary human immune cells, leukocytes are recruited to injured cerebral sites during TBI response, where they can interact with and potentially bind to TBI biomarkers. To date, no studies have demonstrated ultra‐low GFAP binding enumeration on leukocytes. Herein, a dark‐field imaging technique coupled with computational analysis is introduced to quantify GFAP bound to peripheral blood mononuclear cells (PBMCs). Dark‐field microscopy (DFM) with a custom‐written image acquisition software is developed for rapid 3D PBMC imaging by utilizing specific antiGFAP monoclonal antibody functionalized gold nanoparticles (antiGFAP‐AuNPs) as contrast‐generating probes. Subsequently, the developed algorithm is utilized in processing thousands of acquired images for rapid visualization and enumeration of bound antiGFAP‐AuNP on each leukocyte. The proposed method is demonstrates the specific binding of GFAP to the surface of PBMCs on a healthy donor blood. Thereafter, subpopulations of PBMCs with antiGFAP‐AuNP binding are identified with the assistance of fluorescence imaging and DFM imaging, paving a new way to understanding the relationship between TBI and leukocyte classes. Hence, this study offers a rapid and ultra‐sensitive strategy for biomarker assessment following TBI. Abstract : Traumatic brain injury (TBI) without early diagnosis leads to serious disability or even death. A novel gold nanoparticle‐based immunoassay approach coupled with dark‐field microscopy imaging and computational analysis is developed for visualizing and enumerating TBI biomarker (glial fibrillary acidic protein (GFAP)) binding to peripheral blood mononuclear cell (PBMC) surfaces, even classifying subpopulations of PBMCs with high GFAP binding. … (more)
- Is Part Of:
- Advanced functional materials. Volume 31:Number 11(2021)
- Journal:
- Advanced functional materials
- Issue:
- Volume 31:Number 11(2021)
- Issue Display:
- Volume 31, Issue 11 (2021)
- Year:
- 2021
- Volume:
- 31
- Issue:
- 11
- Issue Sort Value:
- 2021-0031-0011-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-01-20
- Subjects:
- dark‐field imaging -- glial fibrillary acidic proteins -- gold nanoparticles -- machine learning -- traumatic brain injury
Materials -- Periodicals
Chemical vapor deposition -- Periodicals
620.11 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1616-3028 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/adfm.202009229 ↗
- Languages:
- English
- ISSNs:
- 1616-301X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.853900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16156.xml