Massively Parallel Combinatorial Perturbation Profiling for Genetic Interaction Analysis
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Solution Overview
Problem
Current genomic research faces challenges in achieving a quantitative and predictive understanding of cellular circuits due to non-linear interactions among biological components, making it difficult to reconstruct and analyze complex genetic interactions on a genomic scale, particularly in mammalian cells where perturbing multiple genes simultaneously and reading genomic profiles in individual cells is infeasible.
Innovation Solution
The development of Massively Parallel Combinatorial Perturbation Profiling (MCPP) and Perturb-Seq, which involves simultaneously perturbing multiple components in cells using CRISPR/Cas9 and single-cell RNA-seq to assess genetic interactions, allowing for the reconstruction of cellular circuits and identification of regulatory effects at different levels of resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If single-cell molecular profiling is performed for each genetic perturbation individually, then measurement precision is improved, but productivity deteriorates due to the enormous number of experiments required
Solution Approach 1:
The patent combines multiple single-cell molecular profiling measurements into a single pooled experiment by delivering multiple sgRNAs to the same cell population simultaneously. Each cell receives a random combination of perturbations, and single-cell RNA sequencing captures all perturbation effects in parallel, resolving the contradiction between measurement precision and productivity
Solution Approach 2:
The patent introduces a new experimental dimension by using combinatorial perturbation designs where cells are exposed to multiple perturbations simultaneously rather than sequentially. This dimensional shift allows the system to measure genetic interactions that cannot be detected by individual perturbations alone, while maintaining high throughput through pooled analysis
2Loss of information
If multiple genes are perturbed simultaneously to study higher-order interactions, then the understanding of cellular circuits is improved, but device complexity increases due to the need for combinatorial perturbation delivery
Solution Approach 1:
The patent uses a universal CRISPR-Cas9 system that can deliver multiple different sgRNAs targeting different genes through the same machinery. The Cas9 protein serves multiple functions by sequentially or simultaneously processing different guide RNAs, enabling complex combinatorial perturbations without proportionally increasing system complexity
Solution Approach 2:
The patent introduces pool barcodes as intermediaries that track which sgRNAs are present in each cell. These barcodes mediate the connection between the complex perturbation delivery system and the simplified data analysis pipeline, allowing high-resolution tracking of combinatorial effects without requiring complex delivery mechanisms
3Ease of operation
If individual gene perturbations are tested sequentially, then ease of operation is maintained, but loss of time increases due to the sequential nature of experiments
Solution Approach 1:
The patent implements continuous useful action by performing all single-cell molecular profiling measurements simultaneously in a single pooled experiment rather than sequentially. The single-cell RNA sequencing process continuously captures information from all cells receiving different perturbation combinations, eliminating idle time between experiments while maintaining procedural simplicity
Solution Approach 2:
The patent performs preliminary pooling of cells with different combinatorial perturbations before the actual measurement step. By pre-organizing the cell population with known perturbation combinations and delivering all sgRNAs simultaneously, the system eliminates the need for sequential experimentation while keeping the measurement protocol simple and unified
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 the accurate identification of genetic interactions, including synergistic and buffering effects, and provides a comprehensive understanding of cellular responses, overcoming the limitations of previous methods by allowing for the analysis of higher-order interactions and reducing costs through pooled experiments.
Implementation Method 1
simultaneously perturbing multiple components in cells using CRISPR/Cas9
Implementation Method 2
single-cell RNA-seq to assess genetic interactions
Data Source
AI summary
The present invention provides tools and methods for the systematic analysis of genetic interactions, including higher order interactions. The present invention provides tools and methods for combinatorial probing of cellular circuits, for dissecting cellular circuitry, for delineating molecular pathways, and/or for identifying relevant targets for therapeutics development.