Protein Modification Mapping Through Tagged Protein-Peptide Correlation
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Solution Overview
Problem
Current high-throughput technologies for medical research and clinical diagnostics fail to provide adequate diagnostic or prognostic precision due to the dynamic and complex nature of the proteome, which is not a direct reflection of the transcriptome, and protein activity is regulated by post-translational modifications that are not adequately captured.
Innovation Solution
A method for characterizing proteins involves detecting a plurality of proteins with unique identifiers, digesting them to form peptides, and correlating the characteristics of these peptides with the original proteins using unique identifiers to account for post-translational modifications and other protein characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high throughput technology platforms are used to decode the genome and transcriptome, then the speed and efficiency of genetic analysis is improved, but the diagnostic and prognostic precision is insufficient because the transcriptome does not directly reflect the proteome
Solution Approach 1:
The method segments the proteome analysis into distinct steps: detecting intact proteins with unique identifiers, digesting proteins into peptides while preserving identifiers, detecting peptides and their modifications, and correlating data across all steps. This segmentation allows comprehensive proteome characterization while maintaining diagnostic precision.
Solution Approach 2:
Unique identifiers serve as intermediaries that link proteins to their derived peptides throughout the analysis process. These identifiers enable tracking and correlation of peptide data back to original proteins, bridging the gap between transcriptome data and actual proteome state.
2Measurement precision
If protein digestion is performed to analyze peptides, then the characterization of protein modifications is improved, but the complexity of correlating peptide data with original proteins increases
Solution Approach 1:
Unique identifiers are attached to proteins before digestion occurs. This preliminary action ensures that when proteins are digested into multiple peptides, each peptide retains the identifier link to its parent protein, simplifying the subsequent correlation process.
Solution Approach 2:
The method employs feedback mechanisms where detected peptide characteristics and modifications are correlated back to the original protein through unique identifiers. This feedback loop enables comprehensive protein characterization by integrating data from multiple peptide analyses.
3Measurement precision
If post-translational modifications are detected to regulate protein activity, then the functional understanding of proteins is improved, but the complexity of proteome-scale characterization increases
Solution Approach 1:
The detection system is designed with multi-functionality to simultaneously detect intact proteins, digest peptides, identify post-translational modifications, and correlate all data through unique identifiers. This universal approach handles multiple analytical tasks within a unified framework, managing proteome-scale complexity.
Data Source
AI summary
A method for characterizing proteins, including steps of (a) detecting a plurality of proteins, wherein individual proteins of the plurality are associated with unique identifiers, wherein the detecting distinguishes the identities of the individual proteins and the unique identifiers associated with the individual proteins; (b) digesting the proteins to form peptides, wherein the peptides from each protein are associated with the unique identifiers for the respective individual protein; (c) detecting the peptides and associated unique identifiers, wherein the detecting distinguishes characteristics of individual peptides, and wherein the detecting distinguishes unique identifiers associated with the individual peptides; and (d) correlating characteristics detected in step (c) with individual proteins detected in step (a) based on the unique identifiers associated with the individual proteins and the peptides.