Integration of T cell repertoire, CyTOF, genotyping and symptomatology data reveals subphenotypic variability in COVID-19 patients.

Fernando Marín-Benesiu, Lucia Chica-Redecillas, Sergio Cuenca-López, Carmen Entrala-Bernal, Sara Martín-Esteban, Maria Jesús Alvarez-Cubero, Luis Javier Martínez-González

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Article in Computational and structural biotechnology journal, 2025. 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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5 · Who and what money

Authors and funding

7 authors.

Fernando Marín-BenesiuDepartment of Biochemistry, Molecular Biology III and Inmunology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Granada 18016, Spain.

Lucia Chica-RedecillasDepartment of Biochemistry, Molecular Biology III and Inmunology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Granada 18016, Spain.

Sergio Cuenca-LópezLORGEN G.P., PT, Ciencias de la Salud - Business Innovation Centre (BIC), Armilla 18100, Spain.

Carmen Entrala-BernalLORGEN G.P., PT, Ciencias de la Salud - Business Innovation Centre (BIC), Armilla 18100, Spain.

Sara Martín-EstebanMontefrío Health Center, Metropolitan District of Granada, Montefrío 18009, Spain.

Maria Jesús Alvarez-CuberoDepartment of Biochemistry, Molecular Biology III and Inmunology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Granada 18016, Spain.

Luis Javier Martínez-GonzálezDepartment of Biochemistry, Molecular Biology III and Inmunology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Granada 18016, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 manifests a broad spectrum of clinical outcomes, from asymptomatic cases to severe disease. While several biomarkers have been proposed, comprehensive immunological analyses integrating mass cytometry (CyTOF) and T-cell receptor sequencing (TCRseq) data remain limited. In this study, we applied the Latent Class Model based on the Bayesian Information Criterion (LCM-BIC) algorithm to integrate immunophenotyping, including monocyte-macrophage counts from CyTOF, T-cell receptor repertorie data via TCRseq, SNPs data from

Indexed as

bioinformaticsCellular immunologyCOVID-19Latent Class ModelT-cell repertoire

Identifiers

PMID40502932

DOI10.1016/j.csbj.2025.05.016

PMCPMC12152356

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