Engineered Mammalian Genetic Circuits with Split Inteins
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Solution Overview
Problem
Current methods for genetically engineering mammalian cells to perform complex functions are hindered by the need for iterative empirical tuning and lack of systematic design processes, limiting the precision and scope of customizable genetic programs.
Innovation Solution
The development of engineered genetic circuits incorporating novel multi-functional proteins with split inteins for transcriptional and post-translational control, enabling predictive design and modular composition of genetic programs that integrate with sensors for multi-input evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional empirical tuning methods are used to engineer mammalian cells, then functional genetic programs can be identified, but the process requires iterative experimental tuning and down-selection which limits the scope and performance of customizable programs
Solution Approach 1:
The genetic circuit components are divided into modular functional units including promoters, transcription factor binding sites, and reporter genes. This segmentation allows independent optimization and systematic assembly of genetic programs, enabling predictable design without iterative empirical tuning.
Solution Approach 2:
The patent develops universal genetic circuit components that can be combined in multiple configurations to achieve different functions. Standardized promoters, binding sites, and regulatory elements serve multiple purposes across different genetic programs, expanding customizability while maintaining systematic design.
2Adaptability or versatility
If complex genetic circuits are designed to perform sophisticated functions, then cellular functions can be customized, but the lack of predictive models requires laborious testing and empirical trial-and-error tuning
Solution Approach 1:
The patent performs preliminary characterization of genetic circuit components including promoter strengths, transcription factor binding affinities, and reporter gene expression levels. This advance data collection enables predictive modeling that eliminates the need for iterative experimental tuning when assembling new genetic programs.
Solution Approach 2:
The patent implements feedback mechanisms through standardized reporter genes and quantitative measurement protocols. Expression data from preliminary experiments feeds into predictive models that guide the design of subsequent genetic circuits, creating a closed-loop design process that reduces experimental iterations.
3Reliability
If existing transcription factors and regulatory proteins are used, then some transcriptional logic can be implemented, but none enable customized design of sophisticated mammalian cellular functions with predictive capability
Solution Approach 1:
The patent systematically varies parameters including promoter sequences, transcription factor binding site affinities, and copy numbers to optimize circuit performance. These parameter changes are guided by predictive models that relate molecular characteristics to circuit behavior, enabling reliable design of sophisticated functions.
Solution Approach 2:
The patent creates composite genetic circuits by combining multiple transcription factors, promoters, and regulatory elements into integrated systems. These composite structures enable sophisticated logical operations and cellular behaviors that cannot be achieved with single components, while predictive models maintain design reliability.
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 allows for the precise and predictable design of mammalian cellular functions, reducing the need for empirical testing and enabling the execution of complex functions such as digital and analog information processing and sense-and-respond behaviors.
Implementation Method 1
Some of these studies make use of protein splicing (12, 14, 18)
Data Source
AI summary
The present disclosure relates generally to genetic engineering of cells to perform specific and complex functions. In particular, the present disclosure relates to engineered mammalian cells and methods of engineering mammalian cells, as well as novel multi-functional proteins integrating both transcriptional and post-translational control effectively linking genetic circuits with sensors for multi-input evaluations.