T Cell Balance Gene Expression Regulatory Network
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Solution Overview
Problem
The molecular circuits controlling T cell balance, including Th17 cell differentiation, maintenance, and function, remain poorly understood, limiting the development of effective therapeutic and diagnostic methods.
Innovation Solution
Development of T cell modulating agents that target specific genes and gene products associated with Th17 cell regulation, allowing for modulation of T cell balance through up-regulation, down-regulation, or inhibition of gene expression and activity to influence T cell differentiation, maintenance, and function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If perturbation-based approaches are used to reconstruct regulatory networks, then short-term responses can be studied, but the approach cannot be readily applied to primary T cells
Solution Approach 1:
The patent uses computational algorithms as intermediaries to analyze gene expression data from primary T cells without requiring direct perturbation of the cells. The CEMRA and ICMRA algorithms process transcriptomic data to reconstruct regulatory networks, allowing indirect study of T cell regulation while maintaining cell integrity and physiological relevance.
2Loss of time
If existing regulatory network methods are applied, then short-term responses can be analyzed, but dynamic long-term T cell balance modulation cannot be understood
Solution Approach 1:
The patent employs dynamic regulatory network analysis methods that track gene expression changes over extended periods. The computational algorithms model temporal relationships between transcription factors and target genes, enabling reconstruction of both short-term and long-term regulatory dynamics in T cell differentiation and balance.
3Productivity
If molecular circuits controlling T cell balance are not understood, then therapeutic development is limited, but researching these circuits increases complexity
Solution Approach 1:
The patent segments the complex regulatory network into manageable components by identifying key transcription factors, target genes, and regulatory modules. This modular approach breaks down the intricate molecular circuits into discrete functional units that can be individually analyzed and targeted for therapeutic development.
Data Source
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AI summary
This invention relates generally to compositions and methods for identifying the regulatory network that modulates, controls or otherwise influences T cell balance, for example, Th17 cell differentiation, maintenance and/or function, as well compositions and methods for exploiting the regulatory network that modulates, controls or otherwise influences T cell balance in a variety of therapeutic and/or diagnostic indications. This invention also relates generally to identifying and exploiting target genes and/or target gene products that modulate, control or otherwise influence T cell balance in a variety of therapeutic and/or diagnostic indications.