Oncotarget

Research Papers: Immunology:

High-throughput sequencing of murine immunoglobulin heavy chain repertoires using single side unique molecular identifiers on an Ion Torrent PGM

Jean-Philippe Bürckert, William J. Faison, Danielle E. Mustin, Axel R.S.X. Dubois, Regina Sinner, Oliver Hunewald, Anke Wienecke-Baldacchino, Anne Brieger and Claude P. Muller _

PDF  |  HTML  |  Supplementary Files  |  How to cite  |  Order a Reprint

Oncotarget. 2018; 9:30225-30239. https://doi.org/10.18632/oncotarget.25493

Metrics: PDF 427 views  |   HTML 1651 views  |   ?  


Abstract

Jean-Philippe Bürckert1, William J. Faison1, Danielle E. Mustin1, Axel R.S.X. Dubois1, Regina Sinner1, Oliver Hunewald1, Anke Wienecke-Baldacchino1, Anne Brieger1,* and Claude P. Muller1,*

1 Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg

* These authors share senior authorship

Correspondence to:

Jean-Philippe Bürckert, email: jean-philippe.buerckert@lih.lu

Claude P. Muller, email: claude.muller@lih.lu

Keywords: high-throughput sequencing; murine IG repertoire; unique molecular barcoding; database benchmarking; IMGT; Immunology

Received: August 31, 2017    Accepted: May 07, 2018    Published: July 13, 2018

Abstract

With the advent of high-throughput sequencing (HTS), profiling immunoglobulin (IG) repertoires has become an essential part of immunological research. Advances in sequencing technology enable the IonTorrent Personal Genome Machine (PGM) to cover the full-length of IG mRNA transcripts. Nucleotide insertions and deletions (indels) are the dominant errors of the PGM sequencing platform and can critically influence IG repertoire assessments. Here, we present a PGM-tailored IG repertoire sequencing approach combining error correction through unique molecular identifier (UID) barcoding and indel detection through ImMunoGeneTics (IMGT), the most commonly used sequence alignment database for IG sequences. Using artificially falsified sequences for benchmarking, we found that IMGT’s underlying algorithms efficiently detect 98% of the introduced indels. Undetected indels are either located at the end of the sequences or produce masked frameshifts with an insertion and deletion in close proximity. The complementary determining regions 3 (CDR3s) are returned correct for up to 3 insertions or 3 deletions through conservative culling. We further show, that our PGM-tailored unique molecular identifiers result in highly accurate HTS data if combined with the presented processing strategy. In this regard, considering sequences with at least two copies from datasets with UID families of minimum 3 reads result in correct sequences with over 99% confidence. Finally, we show that the protocol can readily be used to generate homogenous datasets for bulk sequencing of murine bone marrow samples. Taken together, this approach will help to establish benchtop-scale sequencing of IG heavy chain transcripts in the field of IG repertoire research.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.
PII: 25493