CRISPR-Cas13 RNA Quantification With Time-Resolved Fluorescence

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Solution Overview

Problem

Existing RNA quantification methods, such as RT-qPCR and RNA-seq, face limitations in throughput, cost-effectiveness, and multiplexing capabilities, making it challenging to simultaneously analyze multiple RNA targets across numerous samples with accuracy and efficiency.

Innovation Solution

A method utilizing CRISPR-Cas13 technology integrated with microfluidics, involving a reaction mixture of CRISPR effector proteins, target-specific crRNA, fluorescent reporter molecules, T7 RNA polymerase, and a reaction buffer, followed by time-resolved fluorescence measurements and mathematical modeling, enabling high-throughput and multiplexed RNA quantification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If RT-qPCR is used for RNA quantification, then sensitivity and specificity are improved, but throughput and multiplexing capacity deteriorate

Engineering Contradiction:
ImprovesensitivityVSAvoidthroughput
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent segments the RNA quantification process into modular components: CRISPR-Cas13a complexes with different crRNAs target different RNA sequences, allowing parallel detection of multiple targets. The microfluidic chip divides samples into numerous reaction chambers, enabling simultaneous processing of many samples. This segmentation resolves the contradiction by maintaining high sensitivity through specific CRISPR targeting while achieving high throughput through parallelization.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The CRISPR-Cas13a system serves multiple functions: it provides sequence-specific RNA binding, catalyzes reporter cleavage for detection, and enables multiplexing through different crRNA guides. The microfluidic platform universally processes multiple samples and targets using the same core technology. This multi-functionality allows the system to maintain sensitivity while dramatically increasing throughput compared to traditional RT-qPCR.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If RNA-seq is used for comprehensive transcriptome analysis, then multiplexing capacity is improved, but cost and complexity increase

Engineering Contradiction:
Improvemultiplexing capacityVSAvoidcomplexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent extracts only the essential elements needed for RNA quantification from the complex RNA-seq workflow: instead of full sequencing, it uses CRISPR-Cas13a binding followed by fluorescent reporter cleavage. This extraction maintains multiplexing capacity by targeting multiple specific RNA sequences simultaneously while dramatically reducing complexity by eliminating library preparation, sequencing instrumentation, and complex bioinformatics analysis.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system uses disposable microfluidic chips with integrated reaction chambers and inexpensive fluorescent reporters instead of expensive sequencing reagents and equipment. Each chip can process multiple samples with different CRISPR targets, providing high multiplexing capacity at low cost and simplicity compared to RNA-seq.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

3Measurement precision

If traditional RT-qPCR is used for multiple gene analysis, then accuracy is improved, but labor intensity and time consumption increase

Engineering Contradiction:
ImproveaccuracyVSAvoidtime consumption
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent merges multiple RT-qPCR reactions into a single microfluidic chip, where numerous CRISPR-based reactions occur simultaneously in parallel chambers. The CRISPR-Cas13a system combines target recognition, amplification, and detection into one integrated process, eliminating the need for separate reactions for each gene. This merging maintains accuracy through specific CRISPR targeting while reducing time consumption through parallel processing of multiple targets in a single experiment.

Inventive Principle:
Principle #5Merging (Combining)

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

Enables simultaneous analysis of multiple RNA targets across numerous samples with high sensitivity and accuracy, facilitating large-scale gene expression studies and clinical outcome predictions through machine learning models.

Implementation Method 1

a target-specific crRNA

Methodology Applied
Scientific EffectCRISPR RNA-guided recognition:

Implementation Method 2

a fluorescent reporter molecule

Methodology Applied
Scientific EffectFluorescence: Fluorescence

Implementation Method 3

T7 RNA polymerase

Methodology Applied
Scientific EffectEnzymatic transcription: Enzyme

Implementation Method 4

initiating an enzymatic reaction by mixing a reaction mixture

Methodology Applied
Scientific EffectEnzymatic cleavage: Enzyme

Data Source

PatentUS20260049353A1Multiplexed RNA quantification using crispr-cas13
Publication Date: 2026.02.19 THE TRUSTEES OF PRINCETON UNIV
  • US20260049353A1 patent drawing
  • US20260049353A1 patent drawing
  • US20260049353A1 patent drawing

AI summary

The present disclosure provides a method for multiplexed RNA quantification, comprising: initiating an enzymatic reaction by mixing a reaction mixture, the reaction mixture comprising a CRISPR effector protein, a target-specific crRNA, a fluorescent reporter molecule, T7 RNA polymerase, an input sample, and a reaction buffer; capturing a plurality of fluorescence measurements, each fluorescence measurement captured at a different point in time; and determining a plurality of relative target concentrations by fitting the plurality of fluorescence measurements to a mathematical model of the enzymatic reaction. The method enables highly multiplexed quantification of RNA targets using CRISPR-based detection.