Toward a more accurate view of human B-cell repertoire by next-generation sequencing, unbiased repertoire capture and single-molecule barcoding

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作者
Linling He
Devin Sok
Parisa Azadnia
Jessica Hsueh
Elise Landais
Melissa Simek
Wayne C. Koff
Pascal Poignard
Dennis R. Burton
Jiang Zhu
机构
[1] The Scripps Research Institute,Department of Immunology and Microbial Science
[2] The Scripps Research Institute,IAVI Neutralizing Antibody Center
[3] International AIDS Vaccine Initiative (IAVI),Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery
[4] The Scripps Research Institute,Ragon Institute of Massachusetts General Hospital
[5] Massachusetts Institute of Technology and Harvard,Department of Integrative Structural and Computational Biology
[6] The Scripps Research Institute,undefined
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Scientific Reports | / 4卷
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摘要
B-cell repertoire analysis using next-generation sequencing has become a valuable tool for interrogating the genetic record of humoral response to infection. However, key obstacles such as low throughput, short read length, high error rate and undetermined bias of multiplex PCR method have hindered broader application of this technology. In this study, we report several technical advances in antibody repertoire sequencing. We first demonstrated the ability to sequence antibody variable domains using the Ion Torrent PGM platform. As a test case, we analyzed the PGT121 class of antibodies from IAVI donor 17, an HIV-1-infected individual. We then obtained “unbiased” antibody repertoires by sequencing the 5′-RACE PCR products of B-cell transcripts from IAVI donor 17 and two HIV-1-uninfected individuals. We also quantified the bias of previously published gene-specific primers by comparing the repertoires generated by 5′-RACE PCR and multiplex PCR. We further developed a single-molecule barcoding strategy to reduce PCR-based amplification noise. Lastly, we evaluated several new PGM technologies in the context of antibody sequencing. We expect that, based upon long-read and high-fidelity next-generation sequencing technologies, the unbiased analysis will provide a more accurate view of the overall antibody repertoire while the barcoding strategy will facilitate high-resolution analysis of individual antibody families.
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