17522054. IMMUNE RESPONSE PREDICTION FROM SPATIAL TRANSCRIPTOME simplified abstract (International Business Machines Corporation)
IMMUNE RESPONSE PREDICTION FROM SPATIAL TRANSCRIPTOME
Organization Name
International Business Machines Corporation
Inventor(s)
IMMUNE RESPONSE PREDICTION FROM SPATIAL TRANSCRIPTOME - A simplified explanation of the abstract
This abstract first appeared for US patent application 17522054 titled 'IMMUNE RESPONSE PREDICTION FROM SPATIAL TRANSCRIPTOME
Simplified Explanation
The abstract describes a patent application that presents an approach to predict cellular immune response based on cellular spatial features using single cell ribonucleic acid sequencing data (scRNA-seq).
- The approach utilizes scRNA-seq data to extract spatial features of single cells, including cell-to-cell interactions and relative distance between cells.
- These spatial features are used to predict the immune response of a cell or cells.
- The innovation allows for a more thorough monitoring and study of organisms at a cellular level, including their spatial arrangement of cells.
Potential Applications
- Predicting immune response of cells in various biological systems.
- Studying the spatial arrangement and interactions of cells in different tissues or organs.
- Monitoring and understanding immune responses in diseases such as cancer, autoimmune disorders, and infectious diseases.
Problems Solved
- Traditional methods of studying immune responses often lack the ability to capture the spatial features and interactions between cells.
- This technology provides a more comprehensive understanding of cellular immune response by incorporating spatial information.
Benefits
- Enables more accurate prediction of cellular immune response.
- Provides insights into the spatial organization and interactions of cells.
- Enhances our understanding of immune responses in various biological contexts.
- Can potentially lead to the development of targeted therapies for diseases involving immune dysfunction.
Original Abstract Submitted
Single cell ribonucleic acid sequencing data has provided numerous avenues to monitor and study organism more thoroughly at a cellular level, including spatial arrangement of cells. An approach to predicting cellular immune response based on cellular spatial features may be presented herein. The approach may include utilizing ribonucleic acid sequence data for a single cell (“scRNA-seq”) or cell from a tissue. The approach may also include extracting spatial features of the single cell using the scRNA-seq data including cell-to-cell interactions and relative distance between cells. The approach may include predicting an immune response of a cell or cells based on the extracted spatial features.
