Cell subset annotation method based on single cell transcriptome sequencing

Abstract

The invention provides a cell subset annotation method based on single cell transcriptome sequencing. The cell subset annotation method comprises the following steps: 1) 10x barcode UMI identification; 2) genome comparison; 3) gene expression profile comparison; 4) low-quality cell filtering and data homogenization; 5) cell population clustering; 6) marker gene extraction; 7) cell subset annotation. The invention belongs to the technical field of biological information analysis, and provides a cell subset annotation method based on single-cell transcriptome sequencing, which solves the problem of single-cell subset annotation, so that single-cell sequencing data can support cell annotation according to a gene expression profile and / or a cell Marker gene after conventional analysis. Therefore, organic combination of different annotation methods is realized, and the distribution condition and related information of cell types are obtained.

Description

technical field [0001] The invention belongs to the technical field of biological information analysis, and in particular relates to a cell subgroup annotation method based on single-cell transcriptome sequencing. Background technique [0002] With the rapid development of sequencing technology, especially high-throughput sequencing technology, people have a deeper understanding of the relationship between genomic variation / gene expression differences and phenotypes. However, the traditional Bulk RNA sequencing method is to sequence the cell collection, and the specific information of a single cell is often covered up, resulting in the loss of many important information. [0003] Single-cell transcriptome sequencing technology is applied to genome-wide gene regulatory networks in individual cells, especially in highly heterogeneous cell populations, such as stem cells, early embryonic cells, and tumor cells. The clinical application of this technology can continuously track...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problems existing in the prior art, the present invention provides a cell subgroup annotation method based on single-cell transcriptome sequencing, which is mainly used for annotation of standard single-cell transcriptome cell subgroups of 10x Genomics platform data, and solves the problem of single-cell transcriptome cell subgroup annotation. The problem of annotation of cell subgroups enables single-cell sequencing data to support cell annotation based on gene expression profiles and / or cell marker genes after routine analysis, realizing the organic combination of different annotation methods, and obtaining the distribution of cell types and correlation information

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