Polypeptide Complex Quantification via Label Segmentation
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Solution Overview
Problem
Current diagnostic techniques are inadequate for accurately detecting and quantifying protein aggregates associated with neurodegenerative diseases, such as Alzheimer's and Parkinson's, which are toxic to cells and contribute to disease progression.
Innovation Solution
A method involving a polypeptide complex coupled to a capture unit on a support, with reporter moieties containing detectable labels, allowing for signal detection and subsequent conditions to render a subset of labels undetectable, enabling the quantification of polypeptide molecules and detection of diseases like Alzheimer's and Parkinson's.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple detectable labels are used to detect polypeptide complexes, then detection sensitivity is improved, but signal quantification becomes ambiguous
Solution Approach 1:
The patent segments the detectable labels into distinct functional groups (e.g., fluorescent labels, chemiluminescent labels, radioactive labels) and assigns them to different detection channels. This segmentation allows independent quantification of each label type while maintaining the combined detection sensitivity, resolving the ambiguity in signal quantification when multiple labels are present.
Solution Approach 2:
The patent utilizes labels with distinct detection characteristics including different colors, fluorescence wavelengths, or emission spectra. By assigning labels with spectrally distinct properties to different polypeptide complexes or detection channels, the system enables simultaneous multi-parameter detection while maintaining clear signal differentiation and accurate quantification through spectral unmixing.
2Reliability
If protein aggregation is used as a disease marker, then disease detection capability is improved, but measurement complexity increases
Solution Approach 1:
The patent employs a universal detection platform that can simultaneously detect multiple types of protein aggregates (monomers, oligomers, fibrils, amyloids) using the same basic assay framework. The system uses universal capture units that can bind to different polypeptide complexes and universal detection reagents that work across multiple label types, reducing measurement complexity while maintaining comprehensive disease detection capability.
Solution Approach 2:
The patent utilizes parameter changes in the detection system, such as adjusting detection thresholds, modifying incubation conditions, or changing label concentrations, to optimize detection of different protein aggregate types. By dynamically adjusting detection parameters rather than requiring separate fixed protocols for each aggregate type, the system maintains high reliability across diverse markers while reducing overall measurement complexity.
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 method enables precise detection and quantification of protein aggregates, aiding in disease diagnosis, progression tracking, and treatment optimization by correlating polypeptide complex signals with disease severity.
Implementation Method 1
the one or more detectable labels may be subjected to conditions sufficient to render at most a subset of the one or more detectable labels undetectable
Implementation Method 2
In some embodiments, (d) comprises photobleaching a detectable label of the one or more detectable labels
Data Source
AI summary
Provided herein are methods for analyzing polypeptides and polypeptide complexes. Methods of the present disclosure may be used to identify protein subunits present in a polypeptide, polypeptide complex, or aggregate. These methods may also be used to quantify the subunits (e.g. number of repeating units, protein monomers, repeating domains) in a polypeptide, polypeptide complex, or aggregate.