ExoELISA-ULTRA Complete Kit (CD63 Detection)

With a 4-hour total assay time, this sensitive ELISA-based assay speeds quantitation of exosomes from most biofluids
  • 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 CD63
  • Sample-saving—requires significantly less sample than our standard ExoELISA Kit, leaving more for other downstream applications

Products

Catalog Number Description Size Price Quantity Add to Cart
EXEL-ULTRA-CD63-1 ExoELISA-ULTRA Complete Kit (CD63 detection) 96 Reactions $673
- +

Overview

Overview

Delivering ELISA-based exosome quantitation ULTRA fast

Improving on our popular ExoELISA Kits, the ExoELISA-ULTRA CD63 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 CD63, a widely recognized and popular exosomal marker1, ExoELISA-ULTRA CD63 is based on an ultra-sensitive, direct capture, colorimetric ELISA assay that is compatible with nearly all biofluids. The ExoELISA-ULTRA CD63 Kit comes with an internal standard calibrated to exosomes from a range of biofluids. Calibration is achieved by NanoSight analysis and enables quantitation of exosomes carrying CD63 in your target samples. One ExoELISA-ULTRA CD63 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 CD63
  • 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 Complete KitsEXOCETFluoroCet
UseFor fast and sensitive antibody-based quantitation of exosomesFor fast quantitation of extracellular vesicles with moderate sample input requirementsFor the most sensitive quantitation of extracellular vesicles with very low sample input requirements
Detection methodAntibodyEnzymaticEnzymatic
Quantitation chemistryEnzymatic (HRP)ColorimetricFluorescent
Total protocol time4 hours (no overnight incubation)20 min60 min
Input sample amount (protein equivalent)1 – 200 µg50 µg<1 µg
Learn MoreExoELISA-ULTRA CD63
ExoELISA-ULTRA CD81
ExoELISA-ULTRA CD9
EXOCETFluoroCet
REFERENCES
  1. Kowal, J., et al. Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypes. Proc Natl Acad Sci U S A. 2016. February 23. 113(8): E968–E977. PMCID: PMC4776515.

How It Works

Supporting Data

Supporting Data

The standard curve for ExoELISA-ULTRA CD63 shows robust linearity down to ~1 x 109 exosomes. The standard curve for ExoELISA-ULTRA CD63 provides robust linearity down to ~1 x 10^9 exosomes.

FAQs

Resources

Citations

  • Han, D, et al. (2024) Current Technology for Production, Isolation, and Quality Control of Extracellular Vesicles. Biomedical Applications of Extracellular Vesicles. 2024;:117-146. Link: Biomedical Applications of Extracellular Vesicles
  • Bhagwan Valjee, R, et al. (2024) Investigation of exosomal tetraspanin profile in sepsis patients as a promising diagnostic biomarker. Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals. 2024;:1-12. PM ID: 38354024
  • Gao, H, et al. (2024) Extracellular vesicles from organoid-derived human retinal progenitor cells prevent lipid overload-induced retinal pigment epithelium injury by regulating fatty acid metabolism. Journal of extracellular vesicles. 2024; 13(1):e12401. PM ID: 38151470
  • Byappanahalli, A, et al. (2024) Extracellular vesicle mitochondrial DNA levels are associated with race and mitochondrial DNA haplogroup. iScience. 2024; 27(1):108724. Link: iScience
  • Nagao, Y, et al. (2024) Uterine leiomyosarcoma cell-derived extracellular vesicles induce the formation of cancer-associated fibroblasts. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 2024;:167103. PM ID: 38417460
  • Rajeev Kumar, S, Sakthiswary, R & Lokanathan, Y. (2024) Potential Therapeutic Application and Mechanism of Action of Stem Cell-Derived Extracellular Vesicles (EVs) in Systemic Lupus Erythematosus (SLE). International journal of molecular sciences. 2024; 25(4). PM ID: 38397121
  • Huang, Y, et al. (2024) Identification of a Serum Exosome-Derived lncRNA‒miRNA‒mRNA ceRNA Network in Patients with Endometriosis. Clinical and Experimental Obstetrics & Gynecology. 2024; 51(2):51. Link: Clinical and Experimental Obstetrics & Gynecology
  • Muraoka, A, et al. (2024) Small extracellular vesicles in follicular fluids for predicting reproductive outcomes in assisted reproductive technology. Communications medicine. 2024; 4(1):33. PM ID: 38418565
  • Liang, W, Najor, RH & Gustafsson, ÅB. (2024) Protocol to separate small and large extracellular vesicles from mouse and human cardiac tissues. STAR protocols. 2024; 5(1):102914. PM ID: 38386549
  • Wang, L, et al. (2024) Dual amplified electrochemical sensing coupling of ternary hybridization-based exosomal microRNA recognition and perchlorate-assisted electrocatalytic cycle. Biosensors and Bioelectronics. 2024; 243:115783. Link: Biosensors and Bioelectronics
  • Dias, T, et al. (2024) An Electro-Optical Technology for the Ultrasensitive Detection of Small Extracellular Vesicle Sub-Populations and Their Protein Epitope Counts. Available at SSRN . 2024;. Link: Available at SSRN 
  • Pallares-Rusiñol, A, et al. (2023) Advances in exosome analysis. Advances in clinical chemistry. 2023; 112:69-117. PM ID: 36642486
  • Lee, S, et al. (2023) Mesenchymal stem cell-derived extracellular vesicles subvert Th17 cells by destabilizing RORγt through posttranslational modification. Experimental & molecular medicine. 2023;. PM ID: 36964252
  • Cai, J, et al. (2023) Exosomes Derived From Kartogenin-Preconditioned Mesenchymal Stem Cells Promote Cartilage Formation and Collagen Maturation for Enthesis Regeneration in a Rat Model of Chronic Rotator Cuff Tear. The American journal of sports medicine. 2023; 51(5):1267-1276. PM ID: 36917828
  • Nguyen, CM, et al. (2023) Placental Exosomes as Biomarkers for Maternal Diseases: Current Advances in Isolation, Characterization, and Detection. ACS sensors. 2023; 8(7):2493-2513. PM ID: 37449399
  • Taha, H. (2023) Biomarkers in CNS-originating Extracellular Vesicles for Parkinson’s disease and Multiple System Atrophy. Thesis. 2023;. Link: Thesis
  • Ayala-Mar, S & Gonzalez-Valdez, J. (2023) Research and Development of Emerging Technologies for Exosome-based Cancer Diagnostics and Therapeutics. laccei.org. 2023;. Link: laccei.org
  • Rowart, P, et al. (2023) Fast and Efficient Isolation of Exosomes from Stem Cells Using a Combination of Single-Use Bioreactors, High-Speed-and Ultracentrifugation. eppendorf.com. 2023;. Link: eppendorf.com
  • Otahal, A, et al. (2023) Extracellular Vesicle Isolation and Characterization for Applications in Cartilage Tissue Engineering and Osteoarthritis Therapy. Methods in molecular biology (Clifton, N.J.). 2023; 2598:123-140. PM ID: 36355289
  • Guo, Q, et al. (2023) Glioblastoma upregulates SUMOylation of hnRNP A2/B1 to eliminate the tumor suppressor miR-204-3p, accelerating angiogenesis under hypoxia. Cell death & disease. 2023; 14(2):147. PM ID: 36810326

Products

Catalog Number Description Size Price Quantity Add to Cart
EXEL-ULTRA-CD63-1 ExoELISA-ULTRA Complete Kit (CD63 detection) 96 Reactions $673
- +

Overview

Overview

Delivering ELISA-based exosome quantitation ULTRA fast

Improving on our popular ExoELISA Kits, the ExoELISA-ULTRA CD63 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 CD63, a widely recognized and popular exosomal marker1, ExoELISA-ULTRA CD63 is based on an ultra-sensitive, direct capture, colorimetric ELISA assay that is compatible with nearly all biofluids. The ExoELISA-ULTRA CD63 Kit comes with an internal standard calibrated to exosomes from a range of biofluids. Calibration is achieved by NanoSight analysis and enables quantitation of exosomes carrying CD63 in your target samples. One ExoELISA-ULTRA CD63 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 CD63
  • 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 Complete KitsEXOCETFluoroCet
UseFor fast and sensitive antibody-based quantitation of exosomesFor fast quantitation of extracellular vesicles with moderate sample input requirementsFor the most sensitive quantitation of extracellular vesicles with very low sample input requirements
Detection methodAntibodyEnzymaticEnzymatic
Quantitation chemistryEnzymatic (HRP)ColorimetricFluorescent
Total protocol time4 hours (no overnight incubation)20 min60 min
Input sample amount (protein equivalent)1 – 200 µg50 µg<1 µg
Learn MoreExoELISA-ULTRA CD63
ExoELISA-ULTRA CD81
ExoELISA-ULTRA CD9
EXOCETFluoroCet
REFERENCES
  1. Kowal, J., et al. Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypes. Proc Natl Acad Sci U S A. 2016. February 23. 113(8): E968–E977. PMCID: PMC4776515.

How It Works

Supporting Data

Supporting Data

The standard curve for ExoELISA-ULTRA CD63 shows robust linearity down to ~1 x 109 exosomes. The standard curve for ExoELISA-ULTRA CD63 provides robust linearity down to ~1 x 10^9 exosomes.

FAQs

Citations

  • Han, D, et al. (2024) Current Technology for Production, Isolation, and Quality Control of Extracellular Vesicles. Biomedical Applications of Extracellular Vesicles. 2024;:117-146. Link: Biomedical Applications of Extracellular Vesicles
  • Bhagwan Valjee, R, et al. (2024) Investigation of exosomal tetraspanin profile in sepsis patients as a promising diagnostic biomarker. Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals. 2024;:1-12. PM ID: 38354024
  • Gao, H, et al. (2024) Extracellular vesicles from organoid-derived human retinal progenitor cells prevent lipid overload-induced retinal pigment epithelium injury by regulating fatty acid metabolism. Journal of extracellular vesicles. 2024; 13(1):e12401. PM ID: 38151470
  • Byappanahalli, A, et al. (2024) Extracellular vesicle mitochondrial DNA levels are associated with race and mitochondrial DNA haplogroup. iScience. 2024; 27(1):108724. Link: iScience
  • Nagao, Y, et al. (2024) Uterine leiomyosarcoma cell-derived extracellular vesicles induce the formation of cancer-associated fibroblasts. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 2024;:167103. PM ID: 38417460
  • Rajeev Kumar, S, Sakthiswary, R & Lokanathan, Y. (2024) Potential Therapeutic Application and Mechanism of Action of Stem Cell-Derived Extracellular Vesicles (EVs) in Systemic Lupus Erythematosus (SLE). International journal of molecular sciences. 2024; 25(4). PM ID: 38397121
  • Huang, Y, et al. (2024) Identification of a Serum Exosome-Derived lncRNA‒miRNA‒mRNA ceRNA Network in Patients with Endometriosis. Clinical and Experimental Obstetrics & Gynecology. 2024; 51(2):51. Link: Clinical and Experimental Obstetrics & Gynecology
  • Muraoka, A, et al. (2024) Small extracellular vesicles in follicular fluids for predicting reproductive outcomes in assisted reproductive technology. Communications medicine. 2024; 4(1):33. PM ID: 38418565
  • Liang, W, Najor, RH & Gustafsson, ÅB. (2024) Protocol to separate small and large extracellular vesicles from mouse and human cardiac tissues. STAR protocols. 2024; 5(1):102914. PM ID: 38386549
  • Wang, L, et al. (2024) Dual amplified electrochemical sensing coupling of ternary hybridization-based exosomal microRNA recognition and perchlorate-assisted electrocatalytic cycle. Biosensors and Bioelectronics. 2024; 243:115783. Link: Biosensors and Bioelectronics
  • Dias, T, et al. (2024) An Electro-Optical Technology for the Ultrasensitive Detection of Small Extracellular Vesicle Sub-Populations and Their Protein Epitope Counts. Available at SSRN . 2024;. Link: Available at SSRN 
  • Pallares-Rusiñol, A, et al. (2023) Advances in exosome analysis. Advances in clinical chemistry. 2023; 112:69-117. PM ID: 36642486
  • Lee, S, et al. (2023) Mesenchymal stem cell-derived extracellular vesicles subvert Th17 cells by destabilizing RORγt through posttranslational modification. Experimental & molecular medicine. 2023;. PM ID: 36964252
  • Cai, J, et al. (2023) Exosomes Derived From Kartogenin-Preconditioned Mesenchymal Stem Cells Promote Cartilage Formation and Collagen Maturation for Enthesis Regeneration in a Rat Model of Chronic Rotator Cuff Tear. The American journal of sports medicine. 2023; 51(5):1267-1276. PM ID: 36917828
  • Nguyen, CM, et al. (2023) Placental Exosomes as Biomarkers for Maternal Diseases: Current Advances in Isolation, Characterization, and Detection. ACS sensors. 2023; 8(7):2493-2513. PM ID: 37449399
  • Taha, H. (2023) Biomarkers in CNS-originating Extracellular Vesicles for Parkinson’s disease and Multiple System Atrophy. Thesis. 2023;. Link: Thesis
  • Ayala-Mar, S & Gonzalez-Valdez, J. (2023) Research and Development of Emerging Technologies for Exosome-based Cancer Diagnostics and Therapeutics. laccei.org. 2023;. Link: laccei.org
  • Rowart, P, et al. (2023) Fast and Efficient Isolation of Exosomes from Stem Cells Using a Combination of Single-Use Bioreactors, High-Speed-and Ultracentrifugation. eppendorf.com. 2023;. Link: eppendorf.com
  • Otahal, A, et al. (2023) Extracellular Vesicle Isolation and Characterization for Applications in Cartilage Tissue Engineering and Osteoarthritis Therapy. Methods in molecular biology (Clifton, N.J.). 2023; 2598:123-140. PM ID: 36355289
  • Guo, Q, et al. (2023) Glioblastoma upregulates SUMOylation of hnRNP A2/B1 to eliminate the tumor suppressor miR-204-3p, accelerating angiogenesis under hypoxia. Cell death & disease. 2023; 14(2):147. PM ID: 36810326