Systematic comparative evaluation of methods for investigating the TCRβ repertoire

Xiao Liu, Wei Zhang, Xiaojing Zeng, Ruifang Zhang, Yuanping Du, Xueyu Hong, Hongzhi Cao, Zheng Su, Changxi Wang, Jinghua Wu, Chao Nie, Xun Xu, Karsten Kristiansen

22 Citations (Scopus)
77 Downloads (Pure)

Abstract

High-throughput sequencing has recently been applied to profile the high diversity of antibodyome/B cell receptors (BCRs) and T cell receptors (TCRs) among immune cells. To date, Multiplex PCR (MPCR) and 5′RACE are predominately used to enrich rearranged BCRs and TCRs. Both approaches have advantages and disadvantages; however, a systematic evaluation and direct comparison of them would benefit researchers in the selection of the most suitable method. In this study, we used both pooled control plasmids and spiked-in cells to benchmark the MPCR bias. RNA from three healthy donors was subsequently processed with the two methods to perform a comparative evaluation of the TCR β chain sequences. Both approaches demonstrated high reproducibility (R2 = 0.9958 and 0.9878, respectively). No differences in gene usage were identified for most V/J genes (>60%), and an average of 52.03% of the CDR3 amino acid sequences overlapped. MPCR exhibited a certain degree of bias, in which the usage of several genes deviated from 5′RACE, and some V-J pairings were lost. In contrast, there was a smaller rate of effective data from 5′RACE (11.25% less compared with MPCR). Nevertheless, the methodological variability was smaller compared with the biological variability. Through direct comparison, these findings provide novel insights into the two experimental methods, which will prove to be valuable in immune repertoire research and its interpretation.

Original languageEnglish
Article numbere0152464
JournalP L o S One
Volume11
Issue number3
Number of pages18
ISSN1932-6203
DOIs
Publication statusPublished - 2016

Fingerprint

Dive into the research topics of 'Systematic comparative evaluation of methods for investigating the TCRβ repertoire'. Together they form a unique fingerprint.

Cite this