Analysis of single cell transcriptomics
US11127484B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 17, 2017 |
| Grant date | Sep 21, 2021 |
| Priority date | — |
| Expiry date | Feb 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B25/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Developmental, stem cell and cancer biologists are interested in the molecular definition of cellular differentiation. Although single-cell RNA sequencing represents a transformational advance for global gene analyses, novel obstacles have emerged, including the computational management of dropout events, the reconstruction of biological pathways and the isolation of target cell populations. Provided herein is an algorithm named dpath that applies the concept of metagene entropy and allows the ranking of cells based on their differentiation potential. Also provided herein are self-organizing map (SOM) and random walk with restart (RWR) algorithms to separate the progenitors from the differentiated cells and reconstruct the lineage hierarchies in an unbiased manner. These algorithms were tested using single cells from Etv2-EYFP transgenic mouse embryos and reveal specific molecular pathways that direct differentiation programs involving the haemato-endothelial lineages. This software program quantitatively assesses the progenitor and committed states in single-cell RNA-seq data sets in a non-biased manner.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.