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 $649
- +

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.

Resources

Citations

  • Pallares-Rusiñol, A, et al. (2023) Advances in exosome analysis. Advances in clinical chemistry. 2023; 112:69-117. PM ID: 36642486
  • 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
  • von Stade, DP, et al. (2023) Exosome cell origin affects in vitro markers of tendon repair in ovine macrophages and tenocytes. Tissue engineering. Part A. 2023;. PM ID: 36792933
  • Park, W, et al. (2023) Hydrogel Microneedles Extracting Exosomes for Early Detection of Colorectal Cancer. Biomacromolecules. 2023;. Link: Biomacromolecules
  • Roma-Rodrigues, C, Fernandes, A & Baptista, P. (2023) Exploring RAB11A Pathway to Hinder Chronic Myeloid Leukemia-Induced Angiogenesis In Vivo. Pharmaceutics. 2023; 15(3):742. Link: Pharmaceutics
  • Gandham, SK, Attarwala, HZ & Amiji, MM. (2022) Mathematical Modeling and Experimental Validation of Extracellular Vesicle-Mediated Tumor Suppressor MicroRNA Delivery and Propagation in Ovarian Cancer Cells. Molecular pharmaceutics. 2022;. PM ID: 36226722
  • Bazoer, J. (2022) Regulatory T Cell Derived EVs-Designing Novel Immune Based Therapies to Prolong Lifespan of Transplanted Tissue. Thesis. 2022;. Link: Thesis
  • Ntsethe, A & Mackraj, I. (2022) An Investigation of Exosome Concentration and Exosomal microRNA (miR-155 and miR-222) Expression in Pregnant Women with Gestational Hypertension and Preeclampsia. International journal of women's health. 2022; 14:1681-1689. PM ID: 36514348
  • Yoon, S, Bogdanov, K & Wallach, D. (2022) Site-specific ubiquitination of MLKL targets it to endosomes and targets Listeria and Yersinia to the lysosomes. Cell death and differentiation. 2022;. PM ID: 34999730
  • Cilibrasi, C, et al. (2022) Definition of an Inflammatory Biomarker Signature in Plasma-Derived Extracellular Vesicles of Glioblastoma Patients. Biomedicines. 2022; 10(1). PM ID: 35052804
  • Melling, GE, et al. (2022) Confocal microscopy analysis reveals that only a small proportion of extracellular vesicles are successfully labelled with commonly utilised staining methods. Scientific reports. 2022; 12(1):262. PM ID: 34997141
  • Chetty, V, et al. (2022) Efficient Small Extracellular Vesicles (EV) Isolation Method and Evaluation of EV-Associated DNA Role in Cell-Cell Communication in Cancer. Cancers. 2022; 14(9):2068. Link: Cancers
  • Hong, L, et al. (2022) Exosomal circular RNA hsa_circ_0006220, and hsa_circ_0001666 as biomarkers in the diagnosis of pancreatic cancer. Journal of clinical laboratory analysis. 2022;:e24447. PM ID: 35446993
  • Li, Y, et al. (2022) Mouse mesenchymal stem cell-derived exosomal miR-466f-3p reverses EMT process through inhibiting AKT/GSK3β pathway via c-MET in radiation-induced lung injury. Journal of experimental & clinical cancer research : CR. 2022; 41(1):128. PM ID: 35392967
  • Xiao, W, et al. (2022) Matrix stiffness mediates pancreatic cancer chemoresistance through induction of exosome hypersecretion in a cancer associated fibroblasts-tumor organoid biomimetic model. Matrix biology plus. 2022; 14:100111. PM ID: 35619988
  • Rodrigues, LJS. (2022) Characterization of extracellular vesicles from ascitic fluid in ovarian cancer patients. Thesis. 2022;. Link: Thesis
  • Hrdinova, T. (2022) Molecular events associated with resistance to tyrosine kinase inhibitors in leukemia cells.. Thesis. 2022;. Link: Thesis
  • Blommer, J, et al. (2022) Extracellular vesicle biomarkers for cognitive impairment in Parkinson’s disease. Brain : a journal of neurology. 2022;. PM ID: 35833836
  • Yu, HY, et al. (2022) Exosomes from PM 2.5-treated Human Bronchial Epithelial Cells Increase Lung Cancer Metastatic Potential. Biomedical and environmental sciences : BES. 2022; 35(6):473-484. PM ID: 35882407

Products

Catalog Number Description Size Price Quantity Add to Cart
EXEL-ULTRA-CD63-1 ExoELISA-ULTRA Complete Kit (CD63 detection) 96 Reactions $649
- +

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.

Citations

  • Pallares-Rusiñol, A, et al. (2023) Advances in exosome analysis. Advances in clinical chemistry. 2023; 112:69-117. PM ID: 36642486
  • 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
  • von Stade, DP, et al. (2023) Exosome cell origin affects in vitro markers of tendon repair in ovine macrophages and tenocytes. Tissue engineering. Part A. 2023;. PM ID: 36792933
  • Park, W, et al. (2023) Hydrogel Microneedles Extracting Exosomes for Early Detection of Colorectal Cancer. Biomacromolecules. 2023;. Link: Biomacromolecules
  • Roma-Rodrigues, C, Fernandes, A & Baptista, P. (2023) Exploring RAB11A Pathway to Hinder Chronic Myeloid Leukemia-Induced Angiogenesis In Vivo. Pharmaceutics. 2023; 15(3):742. Link: Pharmaceutics
  • Gandham, SK, Attarwala, HZ & Amiji, MM. (2022) Mathematical Modeling and Experimental Validation of Extracellular Vesicle-Mediated Tumor Suppressor MicroRNA Delivery and Propagation in Ovarian Cancer Cells. Molecular pharmaceutics. 2022;. PM ID: 36226722
  • Bazoer, J. (2022) Regulatory T Cell Derived EVs-Designing Novel Immune Based Therapies to Prolong Lifespan of Transplanted Tissue. Thesis. 2022;. Link: Thesis
  • Ntsethe, A & Mackraj, I. (2022) An Investigation of Exosome Concentration and Exosomal microRNA (miR-155 and miR-222) Expression in Pregnant Women with Gestational Hypertension and Preeclampsia. International journal of women's health. 2022; 14:1681-1689. PM ID: 36514348
  • Yoon, S, Bogdanov, K & Wallach, D. (2022) Site-specific ubiquitination of MLKL targets it to endosomes and targets Listeria and Yersinia to the lysosomes. Cell death and differentiation. 2022;. PM ID: 34999730
  • Cilibrasi, C, et al. (2022) Definition of an Inflammatory Biomarker Signature in Plasma-Derived Extracellular Vesicles of Glioblastoma Patients. Biomedicines. 2022; 10(1). PM ID: 35052804
  • Melling, GE, et al. (2022) Confocal microscopy analysis reveals that only a small proportion of extracellular vesicles are successfully labelled with commonly utilised staining methods. Scientific reports. 2022; 12(1):262. PM ID: 34997141
  • Chetty, V, et al. (2022) Efficient Small Extracellular Vesicles (EV) Isolation Method and Evaluation of EV-Associated DNA Role in Cell-Cell Communication in Cancer. Cancers. 2022; 14(9):2068. Link: Cancers
  • Hong, L, et al. (2022) Exosomal circular RNA hsa_circ_0006220, and hsa_circ_0001666 as biomarkers in the diagnosis of pancreatic cancer. Journal of clinical laboratory analysis. 2022;:e24447. PM ID: 35446993
  • Li, Y, et al. (2022) Mouse mesenchymal stem cell-derived exosomal miR-466f-3p reverses EMT process through inhibiting AKT/GSK3β pathway via c-MET in radiation-induced lung injury. Journal of experimental & clinical cancer research : CR. 2022; 41(1):128. PM ID: 35392967
  • Xiao, W, et al. (2022) Matrix stiffness mediates pancreatic cancer chemoresistance through induction of exosome hypersecretion in a cancer associated fibroblasts-tumor organoid biomimetic model. Matrix biology plus. 2022; 14:100111. PM ID: 35619988
  • Rodrigues, LJS. (2022) Characterization of extracellular vesicles from ascitic fluid in ovarian cancer patients. Thesis. 2022;. Link: Thesis
  • Hrdinova, T. (2022) Molecular events associated with resistance to tyrosine kinase inhibitors in leukemia cells.. Thesis. 2022;. Link: Thesis
  • Blommer, J, et al. (2022) Extracellular vesicle biomarkers for cognitive impairment in Parkinson’s disease. Brain : a journal of neurology. 2022;. PM ID: 35833836
  • Yu, HY, et al. (2022) Exosomes from PM 2.5-treated Human Bronchial Epithelial Cells Increase Lung Cancer Metastatic Potential. Biomedical and environmental sciences : BES. 2022; 35(6):473-484. PM ID: 35882407