Flow Cell Microarrays for Probabilistic Polypeptide Identification
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Solution Overview
Problem
Characterization of heterogeneous polypeptides is hindered by the dominance of high-copy number proteins overshadowing low-copy number proteins in quantitative assays, leading to inaccurate signal detection and identification.
Innovation Solution
A method utilizing affinity reagents with probabilistic binding profiles and computational decoding approaches to overlay and combine data from multiple assays, allowing high-confidence characterization of polypeptides through probabilistic decoding and substrate designs with optically resolvable characterization sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-assay high-specificity detection methods are used, then high-confidence characterization of individual polypeptides is achieved, but the ability to detect multiple polypeptides simultaneously is limited and low-copy number proteins are drowned out by high-copy number proteins
Solution Approach 1:
The system segments the detection process into multiple parallel assays, each with moderate specificity, rather than relying on a single high-specificity assay. This segmentation allows the system to detect multiple polypeptides simultaneously while maintaining identification confidence through computational integration of results across all assays
Solution Approach 2:
The system merges results from multiple moderate-specificity assays through computational decoding algorithms. By combining the data from multiple assays that each detect different subsets of polypeptides, the system achieves both high polypeptide throughput and confident identification, resolving the contradiction between detection quantity and measurement precision
2Quantity of substance
If multiple lower specificity detection assays are performed to detect multiple polypeptides, then the number of detectable polypeptides increases, but measurement accuracy and confidence in polypeptide identity decrease due to ambiguous results
Solution Approach 1:
The system implements feedback through iterative computational decoding algorithms that process assay results and refine polypeptide identity predictions. The algorithms use the pattern of positive and negative results across multiple assays to converge on high-confidence identifications, transforming ambiguous individual assay results into precise polypeptide characterizations
Solution Approach 2:
The system changes the parameter of assay specificity from high (single assay) to moderate (multiple assays), and compensates by changing the computational analysis parameter from simple interpretation to probabilistic decoding. This parameter transformation allows the system to maintain measurement precision while increasing the quantity of detectable polypeptides
3Adaptability or versatility
If affinity reagents with broad recognition profiles are used to detect diverse polypeptides, then the versatility of detection increases, but measurement uncertainty and false positive rates increase
Solution Approach 1:
The system employs multiple affinity reagents with different recognition profiles, where each reagent serves multiple detection functions across different polypeptide targets. This universal approach increases detection coverage while the computational decoding system resolves measurement uncertainties by analyzing the collective pattern of results across all reagents
Data Source
AI summary
Systems and methods for flow cells are provided. Flow cells may encompass a range of fluidic devices for various applications ranging from microfluidic systems to bulk phase flow systems. Flow cells may comprise one or more components for passive or active fluid transfer. Descriptions are provided for advantageous methods of fabricating flow cells for particular applications such as biological assays. Provided is a composition, comprising a first substrate comprising a first covalently-bound ligand; and a second substrate comprising a second covalently-bound ligand; wherein the first covalently-bound ligand and the second covalently-bound ligand are covalently bonded to form a heterocyclic compound. Also provided is a flow cell device, comprising: a first substrate comprising a microfabricated surface; and a second substrate comprising a non-patterned surface; wherein the first substrate is joined to the second substrate to form an enclosure; and wherein the microfabricated surface comprises at least one chamber, wherein the chamber comprises a microarray of active sites with specific functionalization separated by an optically resolvable distance and a functionalized surface comprising a passivating group or a blocking group; and wherein each active site of the microarray of active sites comprises a capture agent.