Phage Display Library Profiling Extracellular Vesicle Biomarkers
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Solution Overview
Problem
Current methods are inadequate for systematically characterizing extracellular vesicles (EVs) to differentiate between various chronic diseases and cancers, due to limited exploration of surface markers on tumor-derived EVs, hindering their clinical and diagnostic applications.
Innovation Solution
A method involving phage display libraries is used to profile EVs by incubating isolated EVs with a phage display library, isolating EV-bound phage, extracting and sequencing nucleic acids to identify specific sequences that distinguish between different sources of EVs, utilizing proteinaceous display binding moieties such as domain antibodies and peptides.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If limited surface markers are explored on tumor-derived EVs, then the complexity of characterization is reduced, but the ability to differentiate diseases and cancers is insufficient
Solution Approach 1:
The phage display library serves as a universal tool that can simultaneously screen for multiple different surface markers on EVs from various disease sources. The library contains diverse phage types with different binding moieties that can recognize multiple epitopes, enabling comprehensive characterization across different disease states in a single platform.
Solution Approach 2:
Phage particles act as intermediaries between the EV surface markers and the detection system. The phage display technology uses phage as mediators that bind to specific surface markers on EVs, allowing indirect but highly specific detection and differentiation of EVs from different disease sources through nucleic acid sequencing.
2Measurement precision
If a comprehensive phage display library is used to profile EVs, then the ability to identify molecular biomarkers is improved, but the complexity of the method increases
Solution Approach 1:
The method extracts and identifies specific nucleic acid sequences from the complex phage display library that are enriched on EVs from specific disease sources. By sequencing and comparing the nucleic acids of EV-bound phage against the input library, the method extracts the specific biomarker information needed while filtering out the complexity of the full library.
Solution Approach 2:
The method uses comparative sequencing analysis as feedback to identify which phage sequences are specifically enriched on EVs from different disease sources. By comparing the nucleic acid sequences of EV-bound phage with the control library, the system provides feedback that identifies the specific biomarkers of interest while accounting for non-specific binding.
3Adaptability or versatility
If multiple types of phage with different binding moieties are used, then the coverage of surface epitopes is improved, but the difficulty of isolating and characterizing EV-bound phage increases
Solution Approach 1:
The method uses the nucleic acid sequence of the phage as a copy or surrogate for the proteinaceous binding moiety. Instead of directly characterizing the diverse protein structures on different phage types, the method sequences the nucleic acids that encode these binding moieties, providing a simpler and more tractable way to identify and characterize the phage-EV interactions.
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 identification of molecular biomarkers on EVs, facilitating disease classification and diagnosis by recognizing unidentified molecular epitopes on EVs, thereby enhancing the potential for clinical and diagnostic applications.
Implementation Method 1
each type of phage having a displayed proteinaceous display binding moieties capable of recognizing one or more epitopes on the surface of the EV
Implementation Method 2
extracting the nucleic acids from the EV-bound phage
Implementation Method 3
amplifying the extracted nucleic acids
Data Source
AI summary
A method for profiling extracellular vesicles (EV) is provided. The method includes: (a) incubating isolated EV from one or more sources with a phage display library under conditions suitable for forming EV-bound phage, wherein the phage display library comprises one or more types of phage, each type of phage having a displayed proteinaceous display binding moieties capable of recognizing one or more epitopes on the surface of the EV, wherein each type of phage comprises nucleic acids encoding the displayed proteinaceous display binding moieties, and wherein the displayed proteinaceous display binding moieties of each type of phage is different; (b) isolating the EV-bound phage; (c) extracting the nucleic acids from the EV-bound phage; (d) amplifying the extracted nucleic acids; (e) sequencing the amplified nucleic acids to identify specific nucleic acid sequences associated with each type of phage from the library that are enriched from the isolated EV; and (f) comparing the specific nucleic acid sequences (output) with nucleic acid sequences from the phage display library (input) and nucleic acid sequences from a control to identify sequences that can distinguish between EV from the one or more sources.