Back to Search
Start Over
Single-Exosome-Counting Immunoassays for Cancer Diagnostics
- Source :
- Nano Letters. 18:4226-4232
- Publication Year :
- 2018
- Publisher :
- American Chemical Society (ACS), 2018.
-
Abstract
- Exosomes shed by tumor cells have been recognized as promising biomarkers for cancer diagnostics due to their unique composition and functions. Quantification of low concentrations of specific exosomes present in very small volumes of clinical samples may be used for noninvasive cancer diagnosis and prognosis. We developed an immunosorbent assay for digital qualification of target exosomes using droplet microfluidics. The exosomes were immobilized on magnetic microbeads through sandwich ELISA complexes tagged with an enzymatic reporter that produces a fluorescent signal. The constructed beads were further isolated and encapsulated into a sufficient number of droplets to ensure only a single bead was encapsulated in a droplet. Our droplet-based single-exosome-counting enzyme-linked immunoassay (droplet digital ExoELISA) approach enables absolute counting of cancer-specific exosomes to achieve unprecedented accuracy. We were able to achieve a limit of detection (LOD) down to 10 enzyme-labeled exosome complexes per microliter (∼10
- Subjects :
- 0301 basic medicine
Microfluidics
Breast Neoplasms
Cell Count
Enzyme-Linked Immunosorbent Assay
Bioengineering
Tumor cells
02 engineering and technology
Exosomes
Exosome
03 medical and health sciences
Limit of Detection
Biomarkers, Tumor
medicine
Humans
General Materials Science
Droplet microfluidics
Volume concentration
Detection limit
Chromatography
medicine.diagnostic_test
Chemistry
Mechanical Engineering
Cancer
General Chemistry
021001 nanoscience & nanotechnology
Condensed Matter Physics
medicine.disease
Microvesicles
030104 developmental biology
Immunoassay
Female
0210 nano-technology
Subjects
Details
- ISSN :
- 15306992 and 15306984
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Nano Letters
- Accession number :
- edsair.doi.dedup.....3cc1612db0fc2c51aefd8500e2445384
- Full Text :
- https://doi.org/10.1021/acs.nanolett.8b01184