Analysis method based on 10X unicell transcriptome sequencing data

Abstract

The invention discloses an analysis method based on 10X unicell transcriptome sequencing data. The analysis method comprises the steps of S1, performing sequencing data quality control and expressionamount quantification; S2, performing unicell subgroup classification based on the 10X unicell transcriptome sequencing data; S3, performing differential expression gene analysis, screening the expressed genes on the cell subgroup, performing Seurat bimod likelihood ratio statistics examination, and performing gene differential expression analysis on different kinds of cell populations; S4, performing gene function analysis, according to the differential expression gene which is obtained in S3, performing differential expression gene GO function analysis and / or differential expression gene KEGG function analysis; S5, marking gene screening and analysis which comprises marking gene screening, marking gene expression distribution and marking gene protein network analysis; and S6, performingcell track analysis which comprises unicell track constructing, differential expression gene analyzing and cell track branch analyzing. The analysis method according to the invention realizes higher accuracy and higher abundance in analyzing the 10X unicell transcriptome sequencing data.

Description

technical field [0001] The invention relates to the technical field of transcriptome sequencing, in particular to an analysis method based on 10X single-cell transcriptome sequencing data. Background technique [0002] 10X single-cell transcriptome sequencing (scRNA-seq) is a technology that performs high-throughput sequencing on mRNA after reverse transcription and amplification at the single cell level, obtains corresponding data and conducts information analysis. It can be applied to the construction of human cell maps, Tumor heterogeneity research, stem cell development and differentiation, nervous system development research, brain development research and embryonic cell development research and many other aspects. Compared with transcriptome sequencing, this technology can reveal the heterogeneity of complex cell populations and avoid the gene expression signals of individual cells being concealed by population averaging. [0003] The implementation of 10X single-cell...

AI Technical Summary

Problems solved by technology

At present, the library construction and sequencing of experimental samples mainly rely on the 10X Genomics platform, which has been recognized and promoted in the field, while the mining and analysis of experimental data mainly rely on the bioinformatics analysis of sequencing data. There is no good analysis method in this technical field. The process is too simple and single. Therefore, it is urgent to establish a bioinformatics analysis method obtained from 10X single-cell transcriptome sequencing data and build a complete data analysis process

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