Deep sequencing of B cell receptor repertoire
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Immune repertoire is a collection of enormously diverse adaptive immune cells within an individual. As the repertoire shapes and represents immunological conditions, identification of clones and characterization of diversity are critical for understanding how to protect ourselves against various illness such as infectious diseases and cancers. Over the past several years, fast growing technologies for high throughput sequencing have facilitated rapid advancement of repertoire research, enabling us to observe the diversity of repertoire at an unprecedented level. Here, we focus on B cell receptor (BCR) repertoire and review approaches to B cell isolation and sequencing library construction. These experiments should be carefully designed according to BCR regions to be interrogated, such as heavy chain full length, complementarity determining regions, and isotypes. We also highlight preprocessing steps to remove sequencing and PCR errors with unique molecular index and bioinformatics techniques. Due to the nature of massive sequence variation in BCR, caution is warranted when interpreting repertoire diversity from error-prone sequencing data. Furthermore, we provide a summary of statistical frameworks and bioinformatics tools for clonal evolution and diversity. Finally, we discuss limitations of current BCR-seq technologies and future perspectives on advances in repertoire sequencing.
Abstract
Immune repertoire is a collection of enormously diverse adaptive immune cells within an individual. As the repertoire shapes and represents immunological conditions, identification of clones and characterization of diversity are critical for understanding how to protect ourselves against various illness such as infectious diseases and cancers. Over the past several years, fast growing technologies for high throughput sequencing have facilitated rapid advancement of repertoire research, enabling us to observe the diversity of repertoire at an unprecedented level. Here, we focus on B cell receptor (BCR) repertoire and review approaches to B cell isolation and sequencing library construction. These experiments should be carefully designed according to BCR regions to be interrogated, such as heavy chain full length, complementarity determining regions, and isotypes. We also highlight preprocessing steps to remove sequencing and PCR errors with unique molecular index and bioinformatics techniques. Due to the nature of massive sequence variation in BCR, caution is warranted when interpreting repertoire diversity from error-prone sequencing data. Furthermore, we provide a summary of statistical frameworks and bioinformatics tools for clonal evolution and diversity. Finally, we discuss limitations of current BCR-seq technologies and future perspectives on advances in repertoire sequencing.
참고문헌 (55)
- Bonilla FA, "Adaptive immunity", J Allergy Clin Immunol, 125, pp.S33~S40 (2010)
- Bishop GA, "Antigen-specific B-lymphocyte activation", Crit Rev Immunol, 23, pp.149~197 (2003)
- Murphy K, "Janeway's immunobiology", pp.410~411 (2016), Garland Science
- Weiner GJ, "Building better monoclonal antibodybased therapeutics", Nat Rev Cancer, 15, pp.361~370 (2015)
- Wu X, "Focused evolution of HIV-1 neutralizing antibodies revealed by structures and deep sequencing", Science, 333, pp.1593~1602 (2011)
- Doria-Rose NA, "Developmental pathway for potent V1V2-directed HIV-neutralizing antibodies", Nature, 509, pp.55~62 (2014)
- Glanville J, "Precise determination of the diversity of a combinatorial antibody library gives insight into the human immunoglobulin repertoire", Proc Natl Acad Sci U S A, 106, pp.20216~20221 (2009)
- Sakano H, "Identification and nucleotide sequence of a diversity DNA segment(D)of immunoglobulin heavy-chain genes", Nature, 290, pp.562~565 (1981)
- Rouet R, "Next-generation sequencing of antibody display repertoires", Front Immunol, 9, pp.118~ (2018)
- Wardemann H, "Novel approaches to analyze immunoglobulin repertoires", Trends Immunol, 38, pp.471~482 (2017)
- Vollmers C, "Genetic measurement of memory B-cell recall using antibody repertoire sequencing", Proc Natl Acad Sci U S A, 110, pp.13463~13468 (2013)
- Smith T, "UMI-tools : modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy", Genome Res, 27, pp.491~499 (2017)
- Khan TA, "Accurate and predictive antibody repertoire profiling by molecular amplification fingerprinting", Sci Adv, 2, pp.e1501371~ (2016)
- Matz M, "Amplification of cDNA ends based on template-switching effect and step-out PCR", Nucleic Acids Res, 27, pp.1558~1560 (1999)
- Waltari E, "5' Rapid amplification of cDNA ends and illumina MiSeq reveals B cell receptor features in healthy adults, adults with chronic HIV-1 infection, cord blood, and humanized mice", Front Immunol, 9, pp.628~ (2018)
- Calis JJ, "Characterizing immune repertoires by high throughput sequencing : strategies and applications", Trends Immunol, 35, pp.581~590 (2014)
- Chovanec P, "Unbiased quantification of immunoglobulin diversity at the DNA level with VDJ-seq", Nat Protoc, 13, pp.1232~1252 (2018)
- Robasky K, "The role of replicates for error mitigation in next-generation sequencing", Nat Rev Genet, 15, pp.56~62 (2014)
- Kircher M, "Addressing challenges in the production and analysis of illumina sequencing data", BMC Genomics, 12, pp.382~ (2011)
- Shagin DA, "A high-throughput assay for quantitative measurement of PCR errors", Sci Rep, 7, pp.2718~ (2017)
- Yang X, "A survey of error-correction methods for next-generation sequencing", Brief Bioinform, 14, pp.56~66 (2013)
- Friedensohn S, "Advanced methodologies in high-throughput sequencing of immune repertoires", Trends Biotechnol, 35, pp.203~214 (2017)
- Ewing B, "Base-calling of automated sequencer traces using phred. II. Error probabilities", Genome Res, 8, pp.186~194 (1998)
- Bolger AM, "Trimmomatic : a flexible trimmer for Illumina sequence data", Bioinformatics, 30, pp.2114~2120 (2014)
- Magoc T, "FLASH : fast length adjustment of short reads to improve genome assemblies", Bioinformatics, 27, pp.2957~2963 (2011)
- Kivioja T, "Counting absolute numbers of molecules using unique molecular identifiers", Nat Methods, 9, pp.72~74 (2011)
- Vander Heiden JA, "pRESTO : a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires", Bioinformatics, 30, pp.1930~1932 (2014)
- He L, "Toward a more accurate view of human B-cell repertoire by nextgeneration sequencing, unbiased repertoire capture and single-molecule barcoding", Sci Rep, 4, pp.6778~ (2014)
- Egorov ES, "Quantitative profiling of immune repertoires for minor lymphocyte counts using unique molecular identifiers", J Immunol, 194, pp.6155~6163 (2015)
- Edgar RC, "Search and clustering orders of magnitude faster than BLAST", Bioinformatics, 26, pp.2460~2461 (2010)
- Li W, "Clustering of highly homologous sequences to reduce the size of large protein databases", Bioinformatics, 17, pp.282~283 (2001)
- Li W, "Cd-hit : a fast program for clustering and comparing large sets of protein or nucleotide sequences", Bioinformatics, 22, pp.1658~1659 (2006)
- Lefranc MP, "IMGT(R), the international ImMunoGeneTics information system(R)25 years on", Nucleic Acids Res, 43, pp.D413~D422 (2015)
- Bolotin DA, "MiXCR : software for comprehensive adaptive immunity profiling", Nat Methods, 12, pp.380~381 (2015)
- Ye J, "IgBLAST : an immunoglobulin variable domain sequence analysis tool", Nucleic Acids Res, 41, pp.W34~W40 (2013)
- Giudicelli V, "IMGT", V-QUEST, an integrated software program for immunoglobulin and T cell receptor V-J and V-D-J rearrangement analysis, 2004, pp.32, W435~W440
- Cui A, "A Model of somatic hypermutation targeting in mice based on high-throughput Ig sequencing data", J Immunol, 197, pp.3566~3574 (2016)
- Ritvo PG, "Highresolution repertoire analysis reveals a major bystander activation of Tfh and Tfr cells", Proc Natl Acad Sci U S A, 115, pp.9604~9609 (2018)
- Thomas N, "Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence", Bioinformatics, 30, pp.3181~3188 (2014)
- Oksanen J, "The vegan package", Community Ecology Package, 10, pp.631~637 (2007)
- Hoehn KB, "A phylogenetic codon substitution model for antibody lineages", Genetics, 206, pp.417~427 (2017)
- Barak M, "IgTree : creating Immunoglobulin variable region gene lineage trees", J Immunol Methods, 338, pp.67~74 (2008)
- Gupta NT, "Change-O : a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data", Bioinformatics, 31, pp.3356~3358 (2015)
- DeKosky BJ, "Large-scale sequence and structural comparisons of human naive and antigen-experienced antibody repertoires", Proc Natl Acad Sci U S A, 113, pp.E2636~E2645 (2016)
- Lee J, "Molecularlevel analysis of the serum antibody repertoire in young adults before and after seasonal influenza vaccination", Nat Med, 22, pp.1456~1464 (2016)
- Moorhouse MJ, "ImmunoGlobulin galaxy(IGGalaxy)for simple determination and quantitation of immunoglobulin heavy chain rearrangements from NGS", BMC Immunol, 15, pp.59~ (2014)
- Christley S, "VDJServer : A cloud-Based analysis portal and data commons for immune repertoire sequences and rearrangements", Front Immunol, 9, pp.976~ (2018)
- Hurlbert SH, "The nonconcept of species diversity : A critique and alternative parameters", Ecology, 52, pp.577~586 (1971)
- Pedregosa F, "Scikit-learn : Machine learning in python", J Machine Learning Res, 12, pp.2825~2830 (2011)
- Rajan S, "Recombinant human B cell repertoires enable screening for rare, specific, and natively paired antibodies", Commun Biol, 1, pp.5~ (2018)
- Wu YL, "Intrinsic transcriptional heterogeneity in B cells controls early class switching to IgE", J Exp Med, 214, pp.183~196 (2017)
- McDaniel JR, "Ultra-high-throughput sequencing of the immune receptor repertoire from millions of lymphocytes", Nat Protoc, 11, pp.429~442 (2016)
- Jung ST, "Aglycosylated IgG variants expressed in bacteria that selectively bind FcgammaRI potentiate tumor cell killing by monocytedendritic cells", Proc Natl Acad Sci U S A, 107, pp.604~609 (2010)
- Piguet F, "Identification of single amino acid differences in uniformly charged homopolymeric peptides with aerolysin nanopore", Nat Commun, 9, pp.966~ (2018)
- Swaminathan J, "Highly parallel single-molecule identification of proteins in zeptomole-scale mixtures", Nat Biotechnol, 36, pp.1076~1082 (2018)
