Genome MedicineGenomicsPeer-reviewed journal article
circVDJ-seq for T cell clonotype detection in single-cell and spatial multi-omics
Izabela PlumbomiD, Benedikt ObermayeriD, Raphael RaspeiD, Anna Pascual ReguantiD, Ilan Theurillat, Tancredi Massimo PentimalliiD, Yu-Hsin HsiehiD, Marine Gil, Carola Dietrich, Michaela Seeger-Zografakis, Claudia QuedenauiD, Jeannine Wilde, Caroline BraeuningiD, Cornelius FischeriD, Markus SchuelkeiD, Volkhard SeitziD, Leif S. LudwigiD, Angelika EggertiD, Nikolaus RajewskyiD, Tatiana A. BorodinaiD, Dieter BeuleiD, Janine AltmülleriD, Helena RadbruchiD, Anja Erika HauseriD, Thomas ConradiD
Abstract
Monitoring T cell repertoires in human tissues provides important insights into immune response mechanisms in cancer, infectious diseases, and autoimmunity. However, retrieving VDJ information from single-cell and spatial transcriptomics workflows with 3-barcoding of cDNA remains resource-intensive or requires specialized sequencing equipment. Here, we introduce circVDJ-seq for simplified and cost-efficient T cell receptor (TCR) profiling from 3-directed workflows like single-cell or single-nucleus RNA sequencing, ATAC+RNA multi-omics, and spatial transcriptomics. Application of circVDJ-seq to freshly resected neuroblastomas and postmortem lymph nodes affected by pneumonia or COVID-19 reveals distinct immune microenvironments and T cell clonality patterns, highlighting broad utility across diverse clinical contexts.
- organism: human
- assay: scRNA-seq
- assay: spatial transcriptomics
- assay: ATAC-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: clustering
- approach: experimental assay
- Citations
- 2
- FWCI
- 4.10
- Field percentile
- top 9%
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