ExoELISA-ULTRA Complete Kit (CD81 Detection)

With a 4-hour total assay time, this sensitive ELISA-based assay speeds quantitation of exosomes from most biofluids

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ExoELISA-ULTRA Complete Kit (CD81 detection)

96 Reactions
EXEL-ULTRA-CD81-1
$ 595
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Overview

Delivering ELISA-based exosome quantitation ULTRA fast

Improving on our popular ExoELISA Kits, the ExoELISA-ULTRA CD81 Kit increases the sensitivity of exosome detection—as low as 1 µg protein equivalent—while shortening the total assay time to only 4 hours.

Currently configured for detection of CD81, a common exosomal marker, ExoELISA-ULTRA CD81 is based on an ultra-sensitive, direct capture, colorimetric ELISA assay that is compatible with common biofluids. The ExoELISA-ULTRA CD81 Kit comes with an internal standard calibrated to exosomes from a range of biofluids. Calibration is achieved by NTA analysis and enables quantitation of exosomes carrying CD81 in your target samples. One ExoELISA-ULTRA CD81 Kit contains all of the necessary reagents (including assay plate) to perform up to 96 reactions.

  • Sensitive—detect as little as 1 µg protein equivalent
  • Fast—complete in less than 4-hours—no more overnight incubation
  • Flexible—compatible with all major exosome isolation methods (e.g. ExoQuick, ultracentrifugation, ultrafiltration, and immunoaffinity capture) from human samples
  • Quantitative—calibrated internal standards enable quantitation of exosomes carrying CD81
  • Sample-saving—requires significantly less sample than our standard ExoELISA Kit, leaving more for other downstream applications

Choose the exosome quantitation method that’s best for your studies

  ExoELISA-ULTRA CD63
ExoELISA-ULTRA CD81
ExoELISA CD9
ExoELISA CD63
ExoELISA CD81
EXOCET FluoroCet
Use For fast and sensitive antibody-based quantitation of exosomes For sensitive quantitation of exosomes when time and input sample are not limiting For fast quantitation of extracellular vesicles with moderate sample input requirements For the most sensitive quantitation of extracellular vesicles with very low sample input requirements
Detection method Antibody Antibody Enzymatic Enzymatic
Quantitation chemistry Enzymatic (HRP) Enzymatic (HRP) Colorimetric Fluorescent
Total protocol time 4 hours (no overnight incubation) 24 hours 20 min 60 min
Input sample amount (protein equivalent) 1 – 200 µg >500 µg 50 µg <1 µg
Learn More ExoELISA-ULTRA CD63

ExoELISA-ULTRA CD81

ExoELISA CD9
ExoELISA CD63
ExoELISA CD81
EXOCET FluoroCet

Supporting Data

The standard curve for ExoELISA-ULTRA CD81 shows robust linearity down to ~4 x 109 exosomes.

The standard curve for ExoELISA-ULTRA CD81 provides robust linearity down to ~4 x 10^9 exosomes.

Figure 1. ExoELISA-ULTRA CD81 standard curve shows robust linearity down to ~4 x 109 exosomes. OD450nm values of commonly used samples (e.g. human serum, HEK293T, and MCF7 breast cancer exosomes – in large colored dots) fall well within the standard curve for the assay.


Citations

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  • Chen, P, et al. (2019) Desktop-stereolithography 3D printing of a radially oriented extracellular matrix/mesenchymal stem cell exosome bioink for osteochondral defect regeneration. Theranostics. 2019 Apr 13; 9(9):2439-2459. PM ID: 31131046
  • Reiter, K, et al. (2019) Separation of virus-like particles and extracellular vesicles by flow-through and heparin affinity chromatography. J Chromatogr A. 2019 Mar 15; 1588:77-84. PM ID: 30616980
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  • Kim, JH, Lee, CH & Lee, SW. (2019) Exosomal Transmission of MicroRNA from HCV Replicating Cells Stimulates Transdifferentiation in Hepatic Stellate Cells. Mol Ther Nucleic Acids. 2019 Mar 1; 14:483-497. PM ID: 30753992
  • Capello, M, et al. (2019) Exosomes harbor B cell targets in pancreatic adenocarcinoma and exert decoy function against complement-mediated cytotoxicity. Nat Commun. 2019 Jan 16; 10(1):254. PM ID: 30651550
  • Zlotogorski-Hurvitz, A, et al. (2019) FTIR-based spectrum of salivary exosomes coupled with computational-aided discriminating analysis in the diagnosis of oral cancer. J. Cancer Res. Clin. Oncol.. 2019 Jan 3;. PM ID: 30603907
  • Baryeh, K. (2019) Development of Quantitative Lateral Flow Strip Biosensors for the Detection of Cancer Biomarkers. Thesis. ;. Link: Thesis