Набор ExoELISA-ULTRA Complete Kit (CD63 detection) 96 тестовExoELISA-ULTRA Complete Kit (CD63 Detection)
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
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 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
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ExoELISA CD9 ExoELISA CD63 ExoELISA CD81 |
EXOCET |
FluoroCet |
REFERENCES
- 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.
Supporting Data
The standard curve for ExoELISA-ULTRA CD63 shows robust linearity down to ~1 x 109 exosomes.
Citations
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Kim, KS, et al. (2019) ELK3 expressed in lymphatic endothelial cells promotes breast cancer progression and metastasis through exosomal miRNAs. Sci Rep. 2019 Jun 10; 9(1):8418. PM ID: 31182803
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Perut, F, et al. (2019) Extracellular Nanovesicles Secreted by Human Osteosarcoma Cells Promote Angiogenesis. Cancers (Basel). 2019 Jun 5; 11(6). PM ID: 31195680
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Sung, PS, Huang, TF & Hsieh, SL. (2019) Extracellular vesicles from CLEC2-activated platelets enhance dengue virus-induced lethality via CLEC5A/TLR2. Nat Commun. 2019 Jun 3; 10(1):2402. PM ID: 31160588
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Freitas, D, et al. (2019) Different isolation approaches lead to diverse glycosylated extracellular vesicle populations. J Extracell Vesicles. 2019 Jun 3; 8(1):1621131. PM ID: 31236201
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Cui, Y, et al. (2019) EPC-derived exosomes promote osteoclastogenesis through LncRNA-MALAT1. J. Cell. Mol. Med.. 2019 Jun 1; 23(6):3843-3854. PM ID: 31025509
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Guo, DF, et al. (2019) The BBSome in POMC and AgRP Neurons is Necessary for Body Weight Regulation and Sorting of Metabolic Receptors. Diabetes. 2019 May 24;. PM ID: 31127052
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Maurel, M, et al. (2019) Control of anterior GRadient 2 (AGR2) dimerization links endoplasmic reticulum proteostasis to inflammation. EMBO Mol Med. 2019 Apr 30;. PM ID: 31040128
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Parry, HA, et al. (2019) Bovine Milk Extracellular Vesicles (EVs) Modification Elicits Skeletal Muscle Growth in Rats. Front Physiol. 2019 Apr 16; 10:436. PM ID: 31040795
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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
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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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Tobón-Arroyave, SI, et al. (2019) Decreased salivary concentration of CD9 and CD81 exosome-related tetraspanins may be associated with the periodontal clinical status. J. Clin. Periodontol.. 2019 Mar 2;. PM ID: 30825338
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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
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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
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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
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Baryeh, K. (2019) Development of Quantitative Lateral Flow Strip Biosensors for the Detection of Cancer Biomarkers. Thesis. ;. Link: Thesis
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Cheema, AK, et al. (2018) Plasma Derived Exosomal Biomarkers of Exposure to Ionizing Radiation in Nonhuman Primates. Int J Mol Sci. 2018 Nov 1; 19(11). PM ID: 30388807
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La Shu, S, et al. (2018) Metabolic reprogramming of stromal fibroblasts by melanoma exosome microRNA favours a pre-metastatic microenvironment. Sci Rep. 2018 Aug 27; 8(1):12905. PM ID: 30150674
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Ruiz-de-León, MJ, et al. (2018) Lower expression of plasma-derived exosome miR-21 levels in HIV-1 elite controllers with decreasing CD4 T cell count. J Microbiol Immunol Infect. 2018 Aug 24;. PM ID: 30193823
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Lin, M, et al. (2018) Exosomal neutral sphingomyelinase 1 suppresses hepatocellular carcinoma via decreasing the ratio of sphingomyelin/ceramide. FEBS J.. 2018 Aug 14;. PM ID: 30106227
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Zhou, Y, et al. (2018) Exosomes from Endothelial Progenitor Cells Improve the Outcome of a Murine Model of Sepsis. Mol. Ther.. 2018 Feb 27;. PM ID: 29599080
Информация для заказаОбласть использования: | Производство: | System Biosciences | Метод: | | Объем: | | Кат. номер: | EXEL-ULTRA-CD63-1 | Цена (с НДС 20%): | по запросу | В корзину | Наименование: Набор ExoELISA-ULTRA Complete Kit (CD63 detection) 96 тестов / ExoELISA-ULTRA Complete Kit (CD63 Detection). Примечание: |
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