Por favor, use este identificador para citar o enlazar este ítem: http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8370
Blood transcriptomics analysis offers insights into variant-specific immune response to SARS-CoV-2
Markus Hoffmann
Lina-Liv Willruth
Alexander Dietrich
HYE KYUNG LEE
Ludwig Knabl
Nico Trummer
Jan Baumbach
Priscilla Furth
Lothar Hennighausen
Markus List
Acceso Abierto
Atribución-NoComercial-SinDerivadas
https://doi.org/10.1101/2023.11.03.564190
https://www.biorxiv.org/content/10.1101/2023.11.03.564190v1
Bulk RNA sequencing (RNA-seq) of blood is typically used for gene expression analysis in biomedical research but is still rarely used in clinical practice. In this study, we argue that RNA-seq should be considered a routine diagnostic tool, as it offers not only insights into aberrant gene expression and splicing but also delivers additional readouts on immune cell type composition as well as B-cell and T-cell receptor (BCR/TCR) repertoires. We demonstrate that RNA-seq offers vital insights into a patient’s immune status via integrative analysis of RNA-seq data from patients infected with various SARS-CoV-2 variants (in total 240 samples with up to 200 million reads sequencing depth). We compare the results of computational cell-type deconvolution methods (e.g., MCP-counter, xCell, EPIC, quanTIseq) to complete blood count data, the current gold standard in clinical practice. We observe varying levels of lymphocyte depletion and significant differences in neutrophil levels between SARS-CoV-2 variants. Additionally, we identify B and T cell receptor (BCR/TCR) sequences using the tools MiXCR and TRUST4 to show that - combined with sequence alignments and pBLAST - they could be used to classify a patient’s disease. Finally, we investigated the sequencing depth required for such analyses and concluded that 10 million reads per sample is sufficient. In conclusion, our study reveals that computational cell-type deconvolution and BCR/TCR methods using bulk RNA-seq analyses can supplement missing CBC data and offer insights into immune responses, disease severity, and pathogen-specific immunity, all achievable with a sequencing depth of 10 million reads per sample.
bioRxiv
06-11-2023
Preimpreso
Inglés
Público en general
VIRUS RESPIRATORIOS
Aparece en las colecciones: Materiales de Consulta y Comunicados Técnicos

Cargar archivos: