Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires

Brown, Alex J.; Snapkov, Igor; Akbar, Rahmad; Pavlović, Milena; Miho, Enkelejda; Sandve, Geir K.; Greiff, Victor

doi:10.1039/c9me00071b

Cited by 63Artificial Immune Systems ApplicationsT-cell and B-cell Immunologyvaccines and immunoinformatics approaches

Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires

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Brown, Alex J., Snapkov, Igor, Akbar, Rahmad, Pavlović, Milena, Miho, Enkelejda, Sandve, Geir K., Greiff, Victor·2019·Molecular Systems Design & Engineering

DOI 10.1039/c9me00071b

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The adaptive immune system is a natural diagnostic sensor and therapeutic.

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Discerning the biases of antibody repertoires can provide insights into the natural diversity of the immune system.
“Discerning the biases of antibody repertoires can provide insights into the natural diversity of the immune system [25].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [25]
Current bioinformatic analyses of NGS repertoires focus on large-scale decoding of immune responses, with several potential applications for therapeutic design.
“Current bioinformatic analyses of NGS repertoires focus on large-scale decoding of the immune responses, with several potential applications for therapeutic design [22, 25, 214].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [25]

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Additional file 4 of FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5′-end single-cell RNA sequencing
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Additional file 3 of FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5′-end single-cell RNA sequencing
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Additional file 7 of FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5′-end single-cell RNA sequencing
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Additional file 1 of FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5′-end single-cell RNA sequencing
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Additional file 6 of FIPRESCI: droplet microfluidics based combinatorial indexing for massive-scale 5′-end single-cell RNA sequencing
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Contrasting effects of SARS-CoV-2 vaccination vs. infection on antibody and TCR repertoires
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Authors: Brown, A. J., Snapkov, I., Akbar, R., Pavlović, M., Miho, E., Sandve, G. K., & Greiff, V.
Affiliations: Department of Biomedical Research
University of Oslo (NO)
FHNW University of Applied Sciences and Arts Northwestern Switzerland (CH)
Corresponding author: Sandve, Geir K.
Greiff, Victor
ORCID: Brown, Alex J.
Snapkov, Igor
Akbar, Rahmad
Pavlović, Milena
Miho, Enkelejda
Sandve, Geir K.
Greiff, Victor
Venue: Molecular Systems Design & Engineering
Publisher: Royal Society of Chemistry (RSC)
Published: 2019
Volume: 4
Issue: 4
Pages: 701-736
ISSN: 2058-9689 (ISSN-L)
DOI: 10.1039/c9me00071b
OpenAlex: W2926687552
Cited by: 59
References: 414
Citations by year: 2026: 1 · 2025: 6 · 2024: 11 · 2023: 7 · 2022: 10 · 2021: 10 · 2020: 11 · 2019: 3
FWCI: 2.99
Type: journal article
Language: en
Open access: green
arxiv.org
Licence: rsc.li/journals-terms-of-use (am, 571 d)
Locations: Molecular Systems Design & Engineering (publishedVersion)
arXiv (Cornell University) (submittedVersion)
arXiv (Cornell University)
Funders: Stiftelsen Kristian Gerhard Jebsen
Leona M. and Harry B. Helmsley Charitable Trust (2019PG-T1D011)
Horizon 2020 (825821)
Topics: Physical Sciences › Engineering › Biomedical Engineering › Artificial Immune Systems Applications
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
Keywords: adaptive immunity, immune receptor repertoire, T cell receptor, B cell receptor

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Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires

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