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ZENODO
Other literature type . 2023
License: CC BY
Data sources: ZENODO
Science
Article . 2023 . Peer-reviewed
Data sources: Crossref
Science
Article . 2023
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Spatial transcriptomics of B cell and T cell receptors reveals lymphocyte clonal dynamics

Authors: Camilla Engblom; Kim Thrane; Qirong Lin; Alma Andersson; Hosein Toosi; Xinsong Chen; Embla Steiner; +12 Authors

Spatial transcriptomics of B cell and T cell receptors reveals lymphocyte clonal dynamics

Abstract

The spatial distribution of lymphocyte clones within tissues is critical to their development, selection, and expansion. We have developed spatial transcriptomics of variable, diversity, and joining (VDJ) sequences (Spatial VDJ), a method that maps B cell and T cell receptor sequences in human tissue sections. Spatial VDJ captures lymphocyte clones that match canonical B and T cell distributions and amplifies clonal sequences confirmed by orthogonal methods. We found spatial congruency between paired receptor chains, developed a computational framework to predict receptor pairs, and linked the expansion of distinct B cell clones to different tumor-associated gene expression programs. Spatial VDJ delineates B cell clonal diversity and lineage trajectories within their anatomical niche. Thus, Spatial VDJ captures lymphocyte spatial clonal architecture across tissues, providing a platform to harness clonal sequences for therapy.

Keywords

B-Lymphocytes, Gene Expression Profiling, Pre-B Cell Receptors, T-Lymphocytes, Receptors, Antigen, T-Cell, Humans, Clone Cells

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 1%
Top 10%
Top 1%
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Cancer Research