Evidence map›Paper›PMID 42412835›Full record

ArticleBioinformatics (Oxford, England)2026

VDJ-REMIX: REpertoire Module Identification and eXploration.

Sakina Amin, Lauren Overend, Felicia Tucci, Bo Sun, Justin Whalley, Michael L Dustin, Julian C Knight, Rachael Bashford-Rogers

Abstract read
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Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sakina AminDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom.
Lauren OverendCentre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom.
Felicia TucciCentre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom.
Bo SunNuffield Department of Clinical Neuroscience, University of Oxford, Oxford OX3 9DU, United Kingdom.ORCID 0000-0002-5507-6657
Justin WhalleyCentre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom.ORCID 0000-0002-0403-3091
Michael L DustinKennedy Institute of Rheumatology, University of Oxford, Oxford OX3 7FY, United Kingdom.
Julian C KnightCentre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom.ORCID 0000-0002-0377-5536
Rachael Bashford-RogersDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, United Kingdom.ORCID 0000-0002-6838-0711

Funding

Chinese Academy of Medical SciencesInnovation Fund for Medical Science 2024-I2M-2-001-1Medical Research Council MR/V002503/1NIHRNIHR CL-2021-13-002Oxford Biomedical Research CentreSt John's CollegeThe Brain Tumour Charity Future Leaders Fellowship FL_2023_/1_10774Wellcome TrustWellcome Trust 204969/Z/16/Z
6 · The paper itself

Abstract

motivationHigh-throughput sequencing of B and T cell repertoires provides unprecedented insights into adaptive immunity but generates high-dimensional feature sets that are challenging to interpret. Standard dimensionality reduction techniques are often suboptimal for adaptive immune receptor repertoire (AIRR) data, which exhibits multi-collinearity, heterogeneous data types, and missingness.

resultsHere, we present VDJ-REMIX, an R package implementing a robust, network-based framework to deconstruct complex repertoire feature matrices into biologically interpretable modules. By refactoring weighted correlation network analysis (WGCNA), VDJ-REMIX provides a tailored workflow for preprocessing, imputation, and modularization of immune repertoire data. We demonstrate its utility across diverse contexts, including autoimmunity, inflammation, and acute infection. In autoimmune patients, VDJ-REMIX identified distinct B cell signatures that stratified diseases and revealed opposing dynamic responses to B cell-depleting versus anti-proliferative therapies. In COVID-19 and non-COVID-19 sepsis patients, it distinguished disease-specific signatures from shared severe infection responses and identified modules correlated with severity. Analysis of flow-sorted B cell populations stratified by FCGR2B genotype recapitulated known tolerance defects and uncovered population-specific repertoire signatures linked to inhibitory receptor dysfunction, providing orthogonal validation of module biological coherence. Finally, applied to a single-cell multi-omics dataset of immune cells in pancreatic ductal adenocarcinoma (PDAC) combining gene expression with AIRR-seq, VDJ-REMIX recovered modules linking BCR isotype usage and clonality to cytotoxic, interferon-responsive, and regulatory immune programmes. VDJ-REMIX is a versatile tool enabling systematic exploration of immunological variation and biomarker discovery from complex immune repertoire data. AVAILABILITY AND IMPLEMENTATION: VDJ-REMIX is freely available at https://github.com/Bashford-Rogers-lab/vdjremix.

Indexed as

Receptors, ImmunologicSoftwareAdaptive ImmunityB-LymphocytesCOVID-19High-Throughput Nucleotide SequencingHumansImmunoinformaticsSARS-CoV-2T-LymphocytesReceptors, Immunologic

Identifiers

PMID42412835
PMCPMC13340219

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.