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Reliability of immune receptor rearrangements as genetic markers for minimal residual disease monitoring

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References

  1. van Dongen JJ, van der Velden VH, Bruggemann M, Orfao A . Minimal residual disease diagnostics in acute lymphoblastic leukemia: need for sensitive, fast, and standardized technologies. Blood 2015; 125: 3996–4009.

    Article  CAS  Google Scholar 

  2. van Dongen JJ, Langerak AW, Bruggemann M, Evans PA, Hummel M, Lavender FL et al. Design and standardization of PCR primers and protocols for detection of clonal immunoglobulin and T-cell receptor gene recombinations in suspect lymphoproliferations: report of the BIOMED-2 Concerted Action BMH4-CT98-3936. Leukemia 2003; 17: 2257–2317.

    Article  CAS  Google Scholar 

  3. van der Velden VH, Hochhaus A, Cazzaniga G, Szczepanski T, Gabert J, van Dongen JJ . Detection of minimal residual disease in hematologic malignancies by real-time quantitative PCR: principles, approaches, and laboratory aspects. Leukemia 2003; 17: 1013–1034.

    Article  CAS  Google Scholar 

  4. Kotrova M, Muzikova K, Mejstrikova E, Novakova M, Bakardjieva-Mihaylova V, Fiser K et al. The predictive strength of next-generation sequencing MRD detection for relapse compared with current methods in childhood ALL. Blood 2015; 126: 1045–1047.

    Article  CAS  Google Scholar 

  5. Ladetto M, Bruggemann M, Monitillo L, Ferrero S, Pepin F, Drandi D et al. Next-generation sequencing and real-time quantitative PCR for minimal residual disease detection in B-cell disorders. Leukemia 2013; 28: 1299–1307.

    Article  Google Scholar 

  6. Logan AC, Vashi N, Faham M, Carlton V, Kong K, Buno I et al. Immunoglobulin and T cell receptor gene high-throughput sequencing quantifies minimal residual disease in acute lymphoblastic leukemia and predicts post-transplantation relapse and survival. Biol Blood Marrow Transplant 2014; 20: 1307–1313.

    Article  CAS  Google Scholar 

  7. van der Velden VH, Cazzaniga G, Schrauder A, Hancock J, Bader P, Panzer-Grumayer ER et al. Analysis of minimal residual disease by Ig/TCR gene rearrangements: guidelines for interpretation of real-time quantitative PCR data. Leukemia 2007; 21: 604–611.

    Article  CAS  Google Scholar 

  8. Murugan A, Mora T, Walczak AM, Callan CG Jr . Statistical inference of the generation probability of T-cell receptors from sequence repertoires. Proc Natl Acad Sci USA 2012; 109: 16161–16166.

    Article  CAS  Google Scholar 

  9. Elhanati Y, Sethna Z, Marcou Q, Callan CG Jr, Mora T, Walczak AM . Inferring processes underlying B-cell repertoire diversity. Philos Trans R Soc Lond B Biol Sci 2015; 370: pii: 20140243.

    Article  Google Scholar 

  10. Hoi KH, Ippolito GC . Intrinsic bias and public rearrangements in the human immunoglobulin Vlambda light chain repertoire. Genes Immun 2013; 14: 271–276.

    Article  CAS  Google Scholar 

  11. Shugay M, Bolotin DA, Putintseva EV, Pogorelyy MV, Mamedov IZ, Chudakov DM . Huge Overlap of Individual TCR Beta Repertoires. Front Immunol 2013; 4: 466.

    Article  Google Scholar 

  12. Venturi V, Quigley MF, Greenaway HY, Ng PC, Ende ZS, McIntosh T et al. A mechanism for TCR sharing between T cell subsets and individuals revealed by pyrosequencing. J Immunol 2011; 186: 4285–4294.

    Article  CAS  Google Scholar 

  13. Britanova OV, Putintseva EV, Shugay M, Merzlyak EM, Turchaninova MA, Staroverov DB et al. Age-related decrease in TCR repertoire diversity measured with deep and normalized sequence profiling. J Immunol 2014; 192: 2689–2698.

    Article  CAS  Google Scholar 

  14. Putintseva EV, Britanova OV, Staroverov DB, Merzlyak EM, Turchaninova MA, Shugay M et al. Mother and child T cell receptor repertoires: deep profiling study. Front Immunol 2013; 4: 463.

    Article  Google Scholar 

  15. Zvyagin IV, Pogorelyy MV, Ivanova ME, Komech EA, Shugay M, Bolotin DA et al. Distinctive properties of identical twins' TCR repertoires revealed by high-throughput sequencing. Proc Natl Acad Sci USA 2014; 111: 5980–5985.

    Article  CAS  Google Scholar 

  16. Mamedov IZ, Britanova OV, Zvyagin IV, Turchaninova MA, Bolotin DA, Putintseva EV et al. Preparing unbiased T-cell receptor and antibody cDNA libraries for the deep next generation sequencing profiling. Front Immunol 2013; 4: 456.

    Article  Google Scholar 

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Acknowledgements

This work was supported by Russian Ministry of Education and Science grant ID RFMEFI60414X0118. The work was carried out in part using equipment provided by the Shemyakin–Ovchinnikov Institute of Bioorganic Chemistry Core Facility (CKP IBCH).

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Correspondence to D M Chudakov or I Z Mamedov.

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The authors declare no conflict of interest.

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Supplementary Information accompanies this paper on Bone Marrow Transplantation website

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Nazarov, V., Minervina, A., Komkov, A. et al. Reliability of immune receptor rearrangements as genetic markers for minimal residual disease monitoring. Bone Marrow Transplant 51, 1408–1410 (2016). https://doi.org/10.1038/bmt.2016.148

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