Droplet-Based Single EV Sequencing for Protein Profiling
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Solution Overview
Problem
Current methods are unable to effectively profile proteins in single extracellular vesicles due to their small size and heterogeneity, making it difficult to detect diseased EV subtypes amidst abundant normal EVs, which is crucial for understanding cellular function and therapeutic responses.
Innovation Solution
The development of droplet-based single EV profiling methods that involve isolating EVs, labeling them with antibody-DNA conjugates, encapsulating with barcoded beads, and performing hybridization, extension, and sequencing to analyze protein compositions at the individual EV level, allowing for the detection and identification of diseased EV subtypes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flow cytometry with fluorescently-labeled antibodies is used to profile proteins in single EVs, then sensitivity and multiplexing for cells are improved, but the method cannot characterize the entire proteome in single EVs due to their small sizes being below the limit of detection
Solution Approach 1:
The patent uses droplets as intermediary carriers to encapsulate individual EVs along with sequencing reagents. This intermediary approach allows the tiny EVs (below flow cytometry detection limit) to be contained and processed in a larger droplet environment, enabling subsequent molecular amplification and detection that overcomes the size limitation of flow cytometry while maintaining single-EV resolution.
Solution Approach 2:
The patent replaces the mechanical/optical detection system of flow cytometry with a molecular biology-based sequencing system. Instead of relying on light scattering and fluorescence detection that fail for sub-micron EVs, the method uses DNA barcoding, PCR amplification, and next-generation sequencing to detect EV proteins, substituting physical measurement with chemical amplification and molecular detection.
2Ease of operation
If bulk measurement technologies are used to analyze EV proteins, then the process is simplified, but the heterogeneity of EVs and the presence of abundant normal EVs mask the detection of rare diseased EV subtypes
Solution Approach 1:
The patent segments the bulk EV population into individual single-EV measurements by encapsulating each EV in a separate droplet. This segmentation allows each EV to be independently barcoded and sequenced, preserving the identity and protein composition of rare diseased EV subtypes that would otherwise be masked in bulk measurements, while still enabling high-throughput analysis of thousands of individual EVs.
Solution Approach 2:
The patent uses DNA barcodes as information copies of each EV's protein composition. By attaching unique DNA barcodes to antibodies that bind EV proteins, and then amplifying these barcode sequences through PCR and sequencing, the method creates molecular copies that can be detected with high sensitivity, allowing rare EV subtypes to be identified even when present in small numbers within the bulk population.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the profiling of EV proteins at a single EV level, overcoming the limitations of bulk measurement technologies and allowing for the discovery of different EV subtypes, which can reflect molecular changes in tumor immune microenvironments and other diseases, facilitating better treatment decisions.
Implementation Method 1
hybridizing a first hybridization region in the antibody-DNA conjugates with a second hybridization region in the barcoded beads to create hybridized DNA
Implementation Method 2
extending the hybridized DNA within one or more of the droplets to generate extended DNA
Data Source
AI summary
Described herein are methods, uses, and kits for droplet-based single cell sequencing of nucleic acids from extracellular vesicles. Specifically, the disclosure provides methods of analyzing protein compositions from individual extracellular vesicles (EVs) from biological samples including pluralities of EVs, the methods comprising labeling the EVs with antibody-DNA conjugates; encapsulating the labeled EVs, barcoded beads, and an extension reagent mix into droplets; within one or more of the droplets, hybridizing the antibody-DNA conjugates with a hybridization region in the barcoded beads; generating RNA from the DNA; synthesizing cDNA from the RNA; amplifying and sequencing the cDNA from one or more individual EVs from the biological sample; and analyzing the sequence of the cDNA from individual EVs to define their protein composition.


