Dendritic Cell Gene Signatures for Precise Antiviral Response Detection
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Solution Overview
Problem
Current methods fail to provide a comprehensive understanding of the molecular circuits controlling dendritic cell responses, including antiviral and inflammatory responses, and lack refined signatures to detect signals across entire cell populations effectively.
Innovation Solution
Development of gene signatures such as the 'Core Antiviral', 'Secondary Antiviral', 'Maturation', 'Induced Inflammatory', and 'Sharp Peaked Inflammatory' signatures, identified through single-cell RNA-Seq analysis, which modulate dendritic cell responses using agents like antibodies, polypeptides, or small molecules to target specific genes associated with these signatures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If population-level gene expression measurements are used, then analysis simplicity is maintained, but detection precision of signals across entire cell populations deteriorates
Solution Approach 1:
The patent segments the cell population into individual single cells for analysis. By measuring gene expression at the single-cell level rather than averaging across populations, the method detects heterogeneous signals that would otherwise be masked. This segmentation enables identification of rare cell subsets and transient signaling events that occur in only a portion of the population.
Solution Approach 2:
The patent transitions from population-averaged measurements to single-cell resolution measurements, adding the dimension of cellular heterogeneity to the analysis. This dimensional shift reveals previously undetectable variations in gene expression patterns across individual cells, enabling detection of signals that exist only in specific subsets.
2Measurement precision
If single-cell RNA-Seq analysis is performed, then detection precision of cell subset signals is improved, but analysis complexity and computational requirements increase
Solution Approach 1:
The patent extracts and isolates specific gene signature patterns from the complex single-cell RNA-Seq data. By identifying and focusing on particular gene modules (such as interferon response genes, inflammatory response genes, or maturation markers), the method simplifies the analysis of otherwise overwhelming datasets while maintaining the precision benefits of single-cell resolution.
Solution Approach 2:
The patent changes the parameters of analysis by defining specific gene signatures and expression thresholds that characterize different cell states and responses. By establishing predefined gene modules and expression criteria, the complex single-cell data can be interpreted through standardized parameters that reduce analytical complexity while preserving detection precision.
3Loss of information
If comprehensive gene expression profiling is conducted, then understanding of molecular circuits is improved, but identification of refined gene signatures becomes more difficult
Solution Approach 1:
The patent merges individual gene expression data into coordinated gene modules or signatures that represent functional pathways. By combining expressions of multiple genes that work together in molecular circuits (such as interferon response genes or inflammatory pathways), the method maintains comprehensive understanding while creating simplified, interpretable signature patterns that are easier to identify and use.
Solution Approach 2:
The patent creates simplified copies or representations of complex molecular circuits in the form of gene signatures. These signatures serve as condensed models that capture the essential behavior of underlying molecular pathways without requiring analysis of every individual gene, thus making signature identification more tractable while preserving comprehensive circuit understanding.
Data Source
AI summary
This invention relates generally to compositions and methods for identifying the regulatory network that modulates, controls or otherwise influences dendritic cell (DC) response(s), for example, dendritic cell maturation, dendritic cell antiviral response(s) and/or dendritic cell inflammatory response(s), as well compositions and methods for exploiting the regulatory network that modulates, controls or otherwise influences dendritic cell response(s) in a variety of therapeutic and/or diagnostic indications.