Literature DB >> 26508293

Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires.

Victor Greiff1, Enkelejda Miho1, Ulrike Menzel1, Sai T Reddy2.   

Abstract

High-throughput sequencing (HTS) of immune repertoires has enabled the quantitative analysis of adaptive immune responses and offers the potential to revolutionize research in lymphocyte biology, vaccine profiling, and monoclonal antibody engineering. Advances in sequencing technology coupled to an exponential decline in sequencing costs have fueled the recent overwhelming interest in immune repertoire sequencing. This, in turn, has sparked the development of numerous methods for bioinformatic and statistics-driven interpretation and visualization of immune repertoires. Here, we review the current literature on bioinformatic and statistical analysis of immune repertoire HTS data and discuss underlying assumptions, applicability, and scope. We further highlight important directions for future research, which could propel immune repertoire HTS to becoming a standard method for measuring adaptive immune responses.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2015        PMID: 26508293     DOI: 10.1016/j.it.2015.09.006

Source DB:  PubMed          Journal:  Trends Immunol        ISSN: 1471-4906            Impact factor:   16.687


  73 in total

1.  Ultra-high-throughput sequencing of the immune receptor repertoire from millions of lymphocytes.

Authors:  Jonathan R McDaniel; Brandon J DeKosky; Hidetaka Tanno; Andrew D Ellington; George Georgiou
Journal:  Nat Protoc       Date:  2016-02-04       Impact factor: 13.491

Review 2.  Comparative analysis of murine T-cell receptor repertoires.

Authors:  Mark Izraelson; Tatiana O Nakonechnaya; Bruno Moltedo; Evgeniy S Egorov; Sofya A Kasatskaya; Ekaterina V Putintseva; Ilgar Z Mamedov; Dmitriy B Staroverov; Irina I Shemiakina; Maria Y Zakharova; Alexey N Davydov; Dmitriy A Bolotin; Mikhail Shugay; Dmitriy M Chudakov; Alexander Y Rudensky; Olga V Britanova
Journal:  Immunology       Date:  2017-11-27       Impact factor: 7.397

3.  Effects of skeletal unloading on the bone marrow antibody repertoire of tetanus toxoid and/or CpG treated C57BL/6J mice.

Authors:  Trisha A Rettig; Nina C Nishiyama; Michael J Pecaut; Stephen K Chapes
Journal:  Life Sci Space Res (Amst)       Date:  2019-06-14

Review 4.  Applications of Immunogenomics to Cancer.

Authors:  X Shirley Liu; Elaine R Mardis
Journal:  Cell       Date:  2017-02-09       Impact factor: 41.582

5.  Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data.

Authors:  Florian Rubelt; Christian E Busse; Syed Ahmad Chan Bukhari; Jean-Philippe Bürckert; Encarnita Mariotti-Ferrandiz; Lindsay G Cowell; Corey T Watson; Nishanth Marthandan; William J Faison; Uri Hershberg; Uri Laserson; Brian D Corrie; Mark M Davis; Bjoern Peters; Marie-Paule Lefranc; Jamie K Scott; Felix Breden; Eline T Luning Prak; Steven H Kleinstein
Journal:  Nat Immunol       Date:  2017-11-16       Impact factor: 25.606

6.  Benchmarking of T cell receptor repertoire profiling methods reveals large systematic biases.

Authors:  Pierre Barennes; Valentin Quiniou; Mikhail Shugay; Evgeniy S Egorov; Alexey N Davydov; Dmitriy M Chudakov; Imran Uddin; Mazlina Ismail; Theres Oakes; Benny Chain; Anne Eugster; Karl Kashofer; Peter P Rainer; Samuel Darko; Amy Ransier; Daniel C Douek; David Klatzmann; Encarnita Mariotti-Ferrandiz
Journal:  Nat Biotechnol       Date:  2020-09-07       Impact factor: 54.908

7.  Cutting Edge: Ig H Chains Are Sufficient to Determine Most B Cell Clonal Relationships.

Authors:  Julian Q Zhou; Steven H Kleinstein
Journal:  J Immunol       Date:  2019-09-04       Impact factor: 5.422

8.  Unbiased quantification of immunoglobulin diversity at the DNA level with VDJ-seq.

Authors:  Peter Chovanec; Daniel J Bolland; Louise S Matheson; Andrew L Wood; Felix Krueger; Simon Andrews; Anne E Corcoran
Journal:  Nat Protoc       Date:  2018-05-03       Impact factor: 13.491

9.  Sequencing the peripheral blood B and T cell repertoire - Quantifying robustness and limitations.

Authors:  Joel S Simon; Sergio Botero; Sanford M Simon
Journal:  J Immunol Methods       Date:  2018-10-10       Impact factor: 2.303

Review 10.  How repertoire data are changing antibody science.

Authors:  Claire Marks; Charlotte M Deane
Journal:  J Biol Chem       Date:  2020-05-14       Impact factor: 5.157

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