Cited by 243T-cell and B-cell Immunologyvaccines and immunoinformatics approachesArtificial Immune Systems Applications

Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires

Greiff, Victor, Miho, Enkelejda, Menzel, Ulrike, Reddy, Sai T.·2015·Trends in Immunology

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.

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Crossref · 10.1016/j.it.2015.09.006

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  • B cells from clonal lineages are typically grouped with a Hamming distance-based homology of more than 80% in their CDR3 amino acid sequence because of somatic hypermutation.

    “Owing to somatic hypermutation, B cells from clonal lineages are typically grouped with a Hamming distance-based homology of more than 80% in their CDR3 amino acid sequence175.”

    From Best practices for single-cell analysis across modalities (2023) · cites this paper as [175]

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Authors
Greiff, V., Miho, E., Menzel, U., & Reddy, S. T.
Affiliations
ETH Zurich (CH)
Corresponding author
Reddy, Sai T.
Venue
Trends in Immunology
Publisher
Elsevier BV
Published
2015-11
Volume
36
Issue
11
Pages
738-749
ISSN
1471-4906 (ISSN-L)
OpenAlex
W1883768105
Cited by
210
References
132
Citations by year
2026: 17 · 2025: 17 · 2024: 26 · 2023: 15 · 2022: 28 · 2021: 23 · 2020: 26 · 2019: 14 · 2018: 15 · 2017: 17 · 2016: 12
FWCI
1.42
Type
journal article
Language
en
Open access
closed
Locations
  • Trends in Immunology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
  • Physical Sciences › Engineering › Biomedical Engineering › Artificial Immune Systems Applications
Keywords
immune repertoire sequencing, adaptive immune response, bioinformatics analysis, statistical analysis, B cell receptor repertoire, T cell receptor repertoire, lymphocyte biology
MeSH terms
Animals, Data Interpretation, Statistical, Humans, Computational Biology, Adaptive Immunity, High-Throughput Nucleotide Sequencing

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