SMIRNOVA, Anastasia O, Anna M MIROSHNICHENKOVA, Yulia V OLSHANSKAYA, Michael A MASCHAN, Yuri B LEBEDEV, Dmitriy CHUDAKOV, Ilgar Z MAMEDOV and Alexander KOMKOV. The use of non-functional clonotypes as a natural calibrator for quantitative bias correction in adaptive immune receptor repertoire profiling. elife. CAMBRIDGE: ELIFE SCIENCES PUBLICATIONS LTD, 2023, vol. 12, Jan, p. 1-17. ISSN 2050-084X. Available from: https://dx.doi.org/10.7554/eLife.69157.
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Basic information
Original name The use of non-functional clonotypes as a natural calibrator for quantitative bias correction in adaptive immune receptor repertoire profiling
Authors SMIRNOVA, Anastasia O, Anna M MIROSHNICHENKOVA, Yulia V OLSHANSKAYA, Michael A MASCHAN, Yuri B LEBEDEV, Dmitriy CHUDAKOV (643 Russian Federation, belonging to the institution), Ilgar Z MAMEDOV and Alexander KOMKOV (guarantor).
Edition elife, CAMBRIDGE, ELIFE SCIENCES PUBLICATIONS LTD, 2023, 2050-084X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30102 Immunology
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 7.700 in 2022
RIV identification code RIV/00216224:14740/23:00133611
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.7554/eLife.69157
UT WoS 000931254200001
Keywords in English immune receptor repertoire; high-throughput sequencing; multiplex PCR; PCR bias correction; adaptive immunity; TCR
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Eva Dubská, učo 77638. Changed: 8/3/2024 10:10.
Abstract
High-throughput sequencing of adaptive immune receptor repertoires is a valuable tool for receiving insights in adaptive immunity studies. Several powerful TCR/BCR repertoire reconstruction and analysis methods have been developed in the past decade. However, detecting and correcting the discrepancy between real and experimentally observed lymphocyte clone frequencies are still challenging. Here, we discovered a hallmark anomaly in the ratio between read count and clone count -based frequencies of non-functional clonotypes in multiplex PCR- based immune repertoires. Calculating this anomaly, we formulated a quantitative measure of V-and J -genes frequency bias driven by multiplex PCR during library preparation called Over Amplification Rate (OAR). Based on the OAR concept, we developed an original software for multiplex PCR-specific bias evaluation and correction named iROAR: immune Repertoire Over Amplification Removal (https://github.com/smiranast/iROAR). The iROAR algorithm was successfully tested on previously published TCR repertoires obtained using both 5' RACE (Rapid Amplification of cDNA Ends) -based and multiplex PCR- based approaches and compared with a biological spike -in -based method for PCR bias evaluation. The developed approach can increase the accuracy and consistency of repertoires reconstructed by different methods making them more applicable for comparative analysis.
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