Innovation & Advantages
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High-throughput single exosome (100,000+) analysis
Simultaneous analysis of 100,000+ single exosome proteins in each sample allows you to discover low-abundance exosome subsets in your sample.
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200+ multiplex protein detection
The multiplex immunoassay technology can be used to analyze the characteristics of 200+ protein components in a single exosome in real time, providing more comprehensive and accurate data analysis results.
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<5 μl sample volume without purification
Most body fluids only require a small amount of samples, and there is no need for prior exosome isolation and purification steps, which further saves time and experimental costs.
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Single-Signal molecular detection
High-sensitivity data results with detection resolution accurate to single exosome surface molecular proteins, which can identify low-abundance exosome surface proteins with higher disease diagnostic value.
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Suitable for almost all body fluids and culture fluids
Such as plasma, urine, cell culture medium, and organ lavage fluid, which can be used for single exosome detection, and is suitable for a wide range of sample types, which greatly reduces the limitations of samples.
Proximity Barcoding Assay
The breakthrough single exosome detection technology has changed the dilemma that traditional exosome technology is often limited to total protein and total nucleic acid detection, and has realized high-precision and high-sensitivity exosome heterogeneity research.
Proximity Barcoding Assay (PBA) article: Wu et al. (2019) Profiling surface proteins on individual exosomes using a proximity barcoding assay
Overview of PBA theory
The surface protein composition of single exosome in a sample can be converted into DNA sequence information by an antibody-DNA conjugate bound to it.
- Process
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Step 1:
The antibody-DNA conjugate recognizes and binds exosome surface proteins, and PBA technology can simultaneously recognize and label 200+ proteins on the surface of a single exosome.
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Step 2:
Rolling cycle DNA sequences enable single exosome separation and labeling by recognizing single exosome surface markers.
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Step 3:
Next-generation sequencing technology analyzes protein and exosome information in DNA sequences.
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Step 4:
Bioinformatics analysis of single exosome proteomic information.
- Multiplex antibody recognition
- Single exosome proximity barcoding
- High-throughput sequencing
- Bioinformatics analysis
Reference
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Kucuk, Nika et al. “Exosomes Engineering and Their Roles as Therapy Delivery Tools, Therapeutic Targets, and Biomarkers.” International journal of molecular sciences vol. 22,179543. 2 Sep. 2021, doi:10.3390/ijms22179543
Padmasekar, Manju et al. “Exposomes to Exosomes: Exosomes as Tools to Study Epigenetic Adaptive Mechanisms in High-Altitude Humans.” International journal of environmental research and public health vol. 18,16 8280. 5 Aug. 2021, doi:10.3390/ijerph18168280
Yang, Dexin et al. “Combined Analysis of Surface Protein Profile and microRNA Expression Profile of Exosomes Derived from Brain Microvascular Endothelial Cells in Early Cerebral Ischemia.” ACS omega vol. 6,34 22410-22421. 18 Aug. 2021, doi:10.1021/acsomega.1c03248
Pasetto, Laura et al. “Decoding distinctive features of plasma extracellular vesicles in amyotrophic lateral sclerosis.” Molecular neurodegeneration vol. 16,1 52. 10 Aug. 2021, doi:10.1186/s13024-021-00470-3
Paolillo, Mayra et al. “Fostering "Education": Do Extracellular Vesicles Exploit Their Own Delivery Code?” Cells vol. 10,71741. 9 Jul. 2021, doi:10.3390/cells10071741
Shan, Xiaoxiao et al. “The Biogenesis, Biological Functions, and Applications of Macrophage-Derived Exosomes.” Frontiers in molecular biosciences vol. 8 715461. 21 Jul. 2021, doi:10.3389/fmolb.2021.715461
Guo, Wei et al. “Single-Exosome Profiling Identifies ITGB3+ and ITGAM+ Exosome Subpopulations as Promising Early Diagnostic Biomarkers and Therapeutic Targets for Colorectal Cancer.” Research (Washington, D.C.) vol. 6 (2023): 0041. doi:10.34133/research.0041
Sun, Li, and David G Meckes Jr. “Multiplex protein profiling method for extracellular vesicle protein detection.” Scientific reports vol. 11,1 12477. 14 Jun. 2021, doi:10.1038/s41598-021-92012-6
Reference
Mitchell, Megan I et al. “Extracellular Vesicle Capture by AnTibody of CHoice and Enzymatic Release (EV-CATCHER): A customizable purification assay designed for small-RNA biomarker identification and evaluation of circulating small-EVs.” Journal of extracellular vesicles vol. 10,8 (2021): e12110. doi:10.1002/jev2.12110
Gao, Jing et al. “Exosomes Promote Pre-Metastatic Niche Formation in Gastric Cancer.” Frontiers in oncology vol. 11652378. 24 May. 2021, doi:10.3389/fonc.2021.652378
Prajapati, Sushant et al. “Biomimetic Nanotechnology: A Natural Path Forward for Tumor-Selective and Tumor-Specific NIR Activable Photonanomedicines.” Pharmaceutics vol. 13,6 786. 25 May. 2021, doi:10.3390/pharmaceutics13060786
Sun, Ruiting et al. “Proteomic profiling of single extracellular vesicles reveals colocalization of SARS-CoV-2 with a CD81/integrin-rich EV subpopulation in sputum from COVID-19 severe patients.” Frontiers in immunology vol. 14 1052141. 12 May. 2023, doi:10.3389/fimmu.2023.1052141
Kong, Lingnan et al. “Ascites-derived CDCP1+ extracellular vesicles subcluster as a novel biomarker and therapeutic target for ovarian cancer.” Frontiers in oncology vol. 13 1142755. 3 Jul. 2023, doi:10.3389/fonc.2023.1142755
Zhai, Ranran et al. “Genetic and phenotypic links between obesity and extracellular vesicles.” Human molecular genetics vol. 31,21 (2022): 3643-3651. doi:10.1093/hmg/ddac069
Min, Yuxin et al. “Single extracellular vesicle surface protein-based blood assay identifies potential biomarkers for detection and screening of five cancers.” Molecular oncology vol. 18,3 (2024): 743-761. doi:10.1002/1878-0261.13586
Wen, Yi et al. “Cell-derived nanovesicles prepared by membrane extrusion are good substitutes for natural extracellular vesicles.” Extracellular vesicle vol. 1 (2022): 100004. doi:10.1016/j.vesic.2022.100004