Method for quantifying TCR beta based on high-throughput sequencing

A high-throughput, sequencing technology, applied in biochemical equipment and methods, microbial measurement/inspection, sequence analysis, etc., can solve problems such as sequencing data amplification bias, sequencing errors, and the estimated impact of T cell pool diversity , to reduce interference and amplification bias

Pending Publication Date: 2022-05-31
ARMY MEDICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the problems of amplification bias and sequencing errors in the sequencing data of the T cell receptor library, the estimation of the population characteristics of T cell receptors in previ

Method used

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  • Method for quantifying TCR beta based on high-throughput sequencing
  • Method for quantifying TCR beta based on high-throughput sequencing
  • Method for quantifying TCR beta based on high-throughput sequencing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] TCR β library construction and sequencing of mouse spleen CD3+ T cells.

[0058] 1. RNA extraction

[0059] Sorting 1,000,000 mouse spleen CD3+ T cells, adding 800ul Trizol (TRIzol Reagent, Invitrogen, 15596018), pipetting and mixing, standing at room temperature for 5min, adding 200ul Trizol solution dissolved with 200 2B4 hybridoma cells; adding 200ul of chloroform, mix by inversion for 30s, and place at room temperature for 3min; centrifuge at 12000g for 15min at 4°C; absorb the upper aqueous phase, and transfer it to another EP tube; 10min; 4°C, centrifuge at 12000g for 10min; add 75% ethanol to 1ml 75% ethanol / ml Trizol, shake gently, suspend the sediment; 4°C, 8000g centrifuge for 5min, suck off the supernatant; Dissolve in RNase-free water to obtain total mouse RNA, and perform concentration determination and quality control.

[0060] The extracted RNA was used to measure the RNA concentration and quality by epoch. The test results showed that OD260 / OD...

Embodiment 2

[0095] Quantitative analysis of TCR β in mouse spleen CD3+ T cells.

[0096] The TCR number measured by evaluating the external reference cells is used as a reference for the number of T cells in the sample; the sequencing error is corrected by the template sequence. Utilizing the assumption that "high-frequency sequences are more likely to be the original correct sequences", the sequence errors are corrected using the Stepwise extraction clustering method. Use the molecular barcode in the template sequence to separate the template sequence from the sequencing sample, count the number of sequencing reads of different V template sequences, investigate the law of the amplification bias after the sample is mixed, explore the method of correcting the amplification bias, and correct Sequence errors generated during sequencing.

[0097] This example is based on the mouse spleen CD3+ T cell sequencing data (see Example 1) to study the characteristics of the TCR β pool in the m...

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Abstract

The invention discloses a method for quantifying TCR beta based on high-throughput sequencing, which comprises the following steps: cracking a sample by using Trizol, and adding an external reference cell lysis solution into the cracked sample; extracting total RNA (Ribonucleic Acid) of the sample and the external reference cells; carrying out reverse transcription by utilizing a C-terminal specific primer of TCR beta; adding a template into a reverse transcription product; the method comprises the following steps: constructing a high-throughput sequencing library of TCR beta by using a group of multiple PCR primers with optimized sequence composition and use concentration, and sequencing; and quantifying the TCR beta in the sample by using two rounds of external parameter data. By adding the external reference cells, the total number of the T cells of the sample can be effectively estimated; by using multiple PCR primers with optimized sequence composition and use concentration, mutual interference and amplification bias among multiple primers can be better reduced; by adding a template, correction and standardization of TCR high-throughput sequencing data can be helped, and finally accurate and real TCR beta library distribution is obtained.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a method for quantifying TCR β based on high-throughput sequencing. Background technique [0002] T cell receptor (TCR) is a specific receptor on the surface of T cells, which is responsible for recognizing antigens presented by the major histocompatibility complex (MHC) and mediating immune responses. The vast majority of T cells are α, β-T cells (about 90% to 95% of the total number of T cells), which are composed of highly diverse α subunits and β subunits, all of which are regenerated in the thymus by germline genes. lined up. Mature T cells migrate to the periphery and form an extremely diverse T cell receptor repertoire, which determines the form and ability of the body to adapt to environmental changes. The diversity of TCR comes from the recombination of V(D)J gene segments. At the same time, during the recombination process, there are often random insertions or deletions o...

Claims

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Application Information

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IPC IPC(8): C12Q1/6869G16B30/00
CPCC12Q1/6869G16B30/00C12Q2521/107C12Q2531/113C12Q2525/191C12Q2535/122C12Q2537/165
Inventor 万瑛倪青山于海礼韩清娟邹丽云曾聪黄毅陈钢
Owner ARMY MEDICAL UNIV
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