Method for analyzing single-cell immune repertoire sequencing data

Abstract

The invention discloses a method for analyzing single-cell immune repertoire sequencing data. The method comprises the following steps of S1, performing data quality statistics and basic quality control on original data; S2, performing sequence alignment and noting on high-quality reads which are obtained in the step S1 and a reference V(D)J fragments sequence, thereby obtaining a Consensus sequence; S3, performing Clonotype typing on a CDR3 amino acid sequence in the Consensus which is obtained through splicing in the step S2; S4, performing CDR3, V / J gene and V-J paired characteristic analysis on the Clonotype in the sample in the step S3; and S5, combining the clonotypes in different samples, and performing multiple-sample analysis. The method has advantages of integral analysis process, abundant content, visual result displaying and comprehensive displaying of immune repertoire information, thereby making a user comprehensively understand and evaluate the immune repertoire condition and more accurately reflecting the immune function in an organism.

Description

technical field [0001] The invention relates to the technical field of immune repertoire sequencing, in particular to a method for analyzing single-cell immune repertoire sequencing data. Background technique [0002] The immune repertoire refers to the sum of all functional T cells and B cells in the body within a specific period of time. The human body's adaptive immune system mainly relies on the complementarity-determining regions (CDRs) on the T cell receptor (TCR) and B cell receptor (BCR) on the surface of T lymphocytes and B lymphocytes to recognize and recognize MHC-antigen peptide molecules. specific binding. BCR / TCR has a region called Complementarity Determining Region (CDR), which is composed of CDR1, CDR2, and CDR3. Both CDR1 and CDR2 are encoded by the V gene, while CDR3 is encoded by the three genes V, D, and J. Therefore, CDR3 The highest degree of diversity is the region mainly involved in antigen recognition. [0003] Immune Repertoire sequencing (IR-SE...

AI Technical Summary

Problems solved by technology

[0005] Although the high-throughput sequencing technology that has emerged in recent years can sequence diverse immune genes on a large scale, there are still problems such as sequencing errors, insufficient sequencing length, and insufficient sequencing depth, and high-throughput sequencing generates a large amount of sequence information. It is also necessary to establish an accurate and complete data analysis process

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