A computational method for immune repertoire mining that identifies novel binders from different clonotypes, demonstrated by identifying anti-pertussis toxoid antibodies-Reference-Cited by-同舟云学术

A computational method for immune repertoire mining that identifies novel binders from different clonotypes, demonstrated by identifying anti-pertussis toxoid antibodies

Published:2021-01-01 Issue:1 Volume:13 Page:
ISSN:1942-0862
Container-title:mAbs
language:en
Short-container-title:mAbs

Author:

Richardson Eve¹,Galson Jacob D.²³,Kellam Paul⁴⁵,Kelly Dominic F.⁶⁷,Smith Sarah E.⁴,Palser Anne⁴,Watson Simon⁴,Deane Charlotte M.¹^ORCID

Affiliation:

1. Department of Statistics, University of Oxford, Oxford, UK

2. Alchemab Therapeutics Ltd, London, UK

3. Division of Immunology, University Children’s Hospital, University of Zurich, Zurich, Switzerland

4. Kymab Ltd, Cambridge, UK

5. Department of Infectious Diseases, Faculty of Medicine, Imperial College London, London, UK

6. Department of Paediatrics, University of Oxford, Oxford, UK

7. Oxford University Hospitals NHS Foundation Trust, Oxford, UK

Funder

Medical Research Council

Gates

National Institute for Health Research

Publisher

Informa UK Limited

Subject

Immunology,Immunology and Allergy

Link

https://www.tandfonline.com/doi/pdf/10.1080/19420862.2020.1869406

Reference61 articles.

1. The promise and challenge of high-throughput sequencing of the antibody repertoire

2. Practical guidelines for B-cell receptor repertoire sequencing analysis

3. Commonality despite exceptional diversity in the baseline human antibody repertoire

4. Analysis of the B cell receptor repertoire in six immune-mediated diseases

5. Bioinformatic and Statistical Analysis of Adaptive Immune Repertoires

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