Multi-Tissue Organoids for Single-Cell Transcriptomic Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for analyzing genetic variants that regulate gene expression are limited by relying on adult tissue samples or induced pluripotent stem cells, which fail to effectively identify dynamic regulatory effects and transcriptomic variation at the cellular level.
Innovation Solution
The method involves forming multi-tissue organoids from pluripotent stem cells, allowing them to differentiate, and then performing single-cell analysis using techniques like RNA sequencing to identify cell types, apply topic modeling, and compare data between organoids to analyze genome or transcriptome and cellular responses to treatments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If adult tissue samples or induced pluripotent stem cells are used for analyzing genetic variants, then the analysis can be performed, but the ability to identify dynamic regulatory effects and transcriptomic variation at the cellular level is limited
Solution Approach 1:
The patent creates organoid models that copy and replicate the structural and functional characteristics of actual human tissues and organs. These organoids are generated from pluripotent stem cells and differentiated to mimic specific tissue types, providing a faithful reproduction of target tissue architecture and cellular composition that enables accurate analysis of genetic variants while capturing dynamic regulatory effects across multiple cell types
Solution Approach 2:
The patent employs parameter changes by controlling differentiation conditions, culture environments, and genetic modifications to generate organoids representing various developmental stages and tissue types. By adjusting parameters such as growth factors, signaling pathways, and environmental cues, the system can model different physiological states and responses to genetic variants across diverse cellular contexts
2Loss of information
If single-cell analysis is performed on differentiated organoids, then comprehensive transcriptomic variation can be identified, but the complexity of the analysis process increases
Solution Approach 1:
The patent applies segmentation by dissociating the organoid into individual single cells, allowing separate analysis of transcriptomic profiles from each cell type. This segmentation enables comprehensive capture of cell-type-specific gene expression patterns and regulatory variations that would be masked in bulk tissue analysis, while the modular nature of single-cell techniques facilitates systematic data processing
Solution Approach 2:
The patent uses computational tools and bioinformatics pipelines as intermediaries to bridge the complex single-cell data generation process and the interpretation of transcriptomic variation. These intermediary computational methods include dimensionality reduction, clustering algorithms, and differential expression analysis that transform raw single-cell RNA sequencing data into biologically meaningful insights about genetic variant effects
Data Source
AI summary
In aspects, the present disclosure provides methods of using multi-tissue organoids bodies including for analyzing the genome or transcriptome of a mammal, analyzing a cellular response to a treatment, determining an effect of a substance, or analyzing a cellular response to a treatment.