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IMonitor: A Robust Pipeline for TCR and BCR Repertoire Analysis
Author(s) -
Wei Zhang,
Yuanping Du,
Zheng Su,
Changxi Wang,
Xiaojing Zeng,
Ruifang Zhang,
Xueyu Hong,
Chao Nie,
Jinghua Wu,
Hongzhi Cao,
Xun Xu,
Xiao Liu
Publication year - 2015
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.115.176735
Subject(s) - biology , repertoire , computational biology , breakpoint cluster region , pipeline (software) , t cell receptor , immune receptor , deep sequencing , genetics , gene , minimal residual disease , dna sequencing , immune system , genome , computer science , t cell , leukemia , physics , acoustics , programming language
The advance of next generation sequencing (NGS) techniques provides an unprecedented opportunity to probe the enormous diversity of the immune repertoire by deep sequencing T-cell receptors (TCRs) and B-cell receptors (BCRs). However, an efficient and accurate analytical tool is still on demand to process the huge amount of data. We have developed a high-resolution analytical pipeline, Immune Monitor ("IMonitor") to tackle this task. This method utilizes realignment to identify V(D)J genes and alleles after common local alignment. We compare IMonitor with other published tools by simulated and public rearranged sequences, and it demonstrates its superior performance in most aspects. Together with this, a methodology is developed to correct the PCR and sequencing errors and to minimize the PCR bias among various rearranged sequences with different V and J gene families. IMonitor provides general adaptation for sequences from all receptor chains of different species and outputs useful statistics and visualizations. In the final part of this article, we demonstrate its application on minimal residual disease detection in patients with B-cell acute lymphoblastic leukemia. In summary, this package would be of widespread usage for immune repertoire analysis.

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