Self-Amplifying RNA Cell State Classifiers for miRNA Detection
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Solution Overview
Problem
Current cell state classifiers for classifying individual cell types in complex biological samples using microRNA expression patterns face challenges in achieving robust output signals and ease of implementation, particularly in regulating the expression of therapeutic or detectable molecules.
Innovation Solution
The development of cell state classifiers that utilize self-amplifying RNA derived from viruses, incorporating sensor circuits with microRNA target sites and endoribonucleases like Cas6, to regulate the expression of output molecules at high levels, and are encoded on a single RNA transcript for enhanced translational control and stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If cell state classifiers use conventional RNA expression systems, then the implementation is simpler, but the output signal strength is insufficient
Solution Approach 1:
The patent changes the fundamental parameter of RNA amplification by introducing self-amplifying RNA replicons that can autonomously replicate within the cell. This exponential amplification mechanism transforms the output signal from linear to exponential scaling, achieving robust detectable signals without proportionally increasing system complexity
Solution Approach 2:
The self-amplifying RNA replicon system is designed to autonomously replicate and amplify the output signal without requiring external enzymatic machinery or complex regulatory systems. The replicon contains all necessary elements (origin of replication, promoter, coding sequence) to self-sustain and amplify the signal, reducing the burden on the host cell and simplifying the overall system design
2Reliability
If cell state classifiers use multiple separate RNA transcripts for different functions, then the regulatory control is more precise, but the ease of implementation decreases
Solution Approach 1:
The patent merges multiple functional RNA transcripts (sensor RNA, replicon RNA, and output RNA) into a single integrated self-amplifying RNA construct. This unified design maintains precise regulatory control through embedded miRNA target sites and promoter elements while dramatically simplifying delivery and implementation, as the entire functional circuit can be introduced as one RNA molecule rather than multiple separate transcripts
Solution Approach 2:
The self-amplifying RNA replicon serves multiple functions simultaneously: it acts as the sensor for miRNA detection, contains the origin for autonomous replication, drives expression of the output molecule, and provides regulatory control elements. This multi-functionality within a single molecular framework achieves both precise regulation and ease of implementation
Data Source
AI summary
Provided herein are genetic circuits and cell state classifiers for detecting the microRNA profile of a cell. In some embodiments, the cell state classifiers described herein utilize an endoribonuclease and a self-amplifying RNA molecule for controlling the expression of an output molecule. In some embodiments, the cell state classifiers described herein are encoded on a single RNA transcript, which is then processed to produce individual genetic circuits that function independently. The genetic circuits and cell state classifiers described herein may be used in various applications (e.g., therapeutic or diagnostic applications).