A Cell Subpopulation Annotation Method Based on Single-Cell Transcriptome Sequencing

Abstract

The present invention provides a cell subpopulation annotation method based on single-cell transcriptome sequencing, comprising the following steps: 1) 10x barcode UMI identification, 2) genome comparison, 3) gene expression profile, 4) low-quality cell filtering and data uniformity 5) Cell population clustering, 6) Marker gene extraction, 7) Cell subgroup annotation. The invention belongs to the technical field of biological information analysis. The cell subgroup annotation method based on single-cell transcriptome sequencing provided by the invention solves the problem of single-cell subgroup annotation, so that after routine analysis of single-cell sequencing data, it can support Expression profiles and / or cell marker genes are used for cell annotation, which realizes the organic combination of different annotation methods, and obtains the distribution and related information of cell types.

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...

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