A method for analyzing single-cell immune repertoire sequencing data

Abstract

The invention discloses a method for analyzing sequencing data of a single-cell immune repertoire, comprising the following steps: step S1, performing data quality statistics and basic quality control on raw data; step S2, performing high-quality reads obtained in step S1 and reference V (D) Sequence alignment and annotation of the J fragments sequence to obtain the Consensus sequence; Step S3, performing Clonotype typing on the CDR3 amino acid sequence in Consensus spliced ​​in Step S2; Step S4, performing Clonotype typing in the sample obtained in Step S3 Carry out CDR3, V / J gene, V-J paired feature analysis; Step S5, merge the clonotypes in different samples, and then perform multi-sample analysis. The analysis process of this method is complete, the content is rich, the results can be displayed visually, and the information of the immune repertoire can be fully revealed, so that users can fully understand and evaluate the status of the immune repertoire, and can more accurately reflect the immune function in the 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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