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Exploiting Electrostatic Interaction for Highly Sensitive Detection of Tumor-Derived Extracellular Vesicles by an Electrokinetic Sensor.
- Source :
-
ACS applied materials & interfaces [ACS Appl Mater Interfaces] 2021 Sep 15; Vol. 13 (36), pp. 42513-42521. Date of Electronic Publication: 2021 Sep 02. - Publication Year :
- 2021
-
Abstract
- We present an approach to improve the detection sensitivity of a streaming current-based biosensor for membrane protein profiling of small extracellular vesicles (sEVs). The experimental approach, supported by theoretical investigation, exploits electrostatic charge contrast between the sensor surface and target analytes to enhance the detection sensitivity. We first demonstrate the feasibility of the approach using different chemical functionalization schemes to modulate the zeta potential of the sensor surface in a range -16.0 to -32.8 mV. Thereafter, we examine the sensitivity of the sensor surface across this range of zeta potential to determine the optimal functionalization scheme. The limit of detection (LOD) varied by 2 orders of magnitude across this range, reaching a value of 4.9 × 10 <superscript>6</superscript> particles/mL for the best performing surface for CD9. We then used the optimized surface to profile CD9, EGFR, and PD-L1 surface proteins of sEVs derived from non-small cell lung cancer (NSCLC) cell-line H1975, before and after treatment with EGFR tyrosine kinase inhibitors, as well as sEVs derived from pleural effusion fluid of NSCLC adenocarcinoma patients. Our results show the feasibility to monitor CD9, EGFR, and PD-L1 expression on the sEV surface, illustrating a good prospect of the method for clinical application.
- Subjects :
- Antibodies, Immobilized immunology
B7-H1 Antigen analysis
B7-H1 Antigen metabolism
Cell Line, Tumor
Electrochemical Techniques
ErbB Receptors analysis
ErbB Receptors antagonists & inhibitors
ErbB Receptors metabolism
Extracellular Vesicles drug effects
Extracellular Vesicles immunology
Humans
Limit of Detection
Protein Kinase Inhibitors pharmacology
Tetraspanin 29 analysis
Tetraspanin 29 metabolism
Biosensing Techniques methods
Extracellular Vesicles chemistry
Static Electricity
Subjects
Details
- Language :
- English
- ISSN :
- 1944-8252
- Volume :
- 13
- Issue :
- 36
- Database :
- MEDLINE
- Journal :
- ACS applied materials & interfaces
- Publication Type :
- Academic Journal
- Accession number :
- 34473477
- Full Text :
- https://doi.org/10.1021/acsami.1c13192