RNA Fragment Characterization for Disease Diagnosis
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Solution Overview
Problem
Current methods lack the ability to effectively identify and characterize specific RNA fragments, particularly rRNA and tRNA, for diagnosing diseases, determining disease progression, and personalizing treatments, as they do not adequately account for the complex regulatory roles and functions of these fragments in healthy and diseased cells.
Innovation Solution
A method involving the isolation and characterization of rRNA and tRNA fragments from samples, using engineered oligonucleotides and qPCR assays to quantify and analyze their abundance, thereby identifying diagnostic signatures for diseases such as cancer and glaucoma, and providing personalized treatment regimens based on the identified signatures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional RNA analysis methods are used, then general RNA profiling is possible, but specific RNA fragment identification and characterization is insufficient
Solution Approach 1:
The patent segments the RNA analysis process into distinct stages: isolation of RNA fragments, characterization to identify specific fragments, and signature identification. This segmentation allows each stage to be optimized independently, improving measurement precision for specific fragment identification while managing overall system complexity through modular approach.
Solution Approach 2:
The patent performs preliminary isolation and characterization of RNA fragments before disease diagnosis. By pre-isolating and characterizing the fragments to establish a signature, the method enables more precise subsequent analysis and reduces complexity during the actual diagnostic process.
2Reliability
If comprehensive RNA fragment characterization is performed, then diagnostic accuracy is improved, but analysis time and resource requirements increase
Solution Approach 1:
The patent performs comprehensive RNA fragment isolation and characterization in advance to establish a disease-specific signature. This preliminary comprehensive analysis creates a reference framework that can be used for faster, more reliable subsequent diagnoses, reducing the time required for actual disease detection while maintaining high accuracy.
Solution Approach 2:
The patent creates a signature copy or profile of the RNA fragment pattern that characterizes a disease state. Once this signature is established through comprehensive analysis, it can be used for rapid comparison and diagnosis without repeating the full characterization process, thereby reducing analysis time while maintaining diagnostic reliability.
3Adaptability or versatility
If specific RNA fragment signatures are identified for personalized treatment, then treatment effectiveness is improved, but the complexity of treatment planning increases
Solution Approach 1:
The patent segments the treatment approach by first identifying the disease-specific RNA fragment signature, then using this signature to guide treatment selection. This segmentation separates the diagnostic identification phase from the treatment planning phase, making the overall process more manageable and less complex while enabling personalized treatment adaptability.
Solution Approach 2:
The patent uses the identified RNA fragment signature as feedback to determine appropriate treatment. The signature provides objective information about the disease state that feeds into treatment decision-making, making personalized treatment more systematic and less complex by providing clear diagnostic criteria to guide therapy selection.
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 accurate diagnosis and personalized treatment by identifying specific RNA fragment signatures indicative of disease states, allowing for targeted interventions and improved patient outcomes.
Implementation Method 1
a panel of oligonucleotides engineered to detect rRNA fragments
Data Source
AI summary
The present invention includes a method for analyzing RNA fragments. In one aspect, the present invention includes a method of identifying a subject in need of therapeutic intervention to treat a disease or condition, disease recurrence, or disease progression comprises characterizing the identity of rRNA fragments. The invention also includes diagnosing, identifying or monitoring a disease or condition, and a method for identifying rRNA fragments. The invention also includes diagnosing, identifying or monitoring a glaucoma in a subject in need thereof by characterizing the identity of rRNA or tRNA fragments.