A temporal and spatial atlas of adaptive immune responses in the lymph node following viral infection

S Shaowen Jiang (Meinig School of Biomedical Engineering, Cornell University) J Jahanara Freedman (Meinig School of Biomedical Engineering, Cornell University) M Madhav Mantri (Meinig School of Biomedical Engineering, Cornell University) V Viviana Maymi (Department of Microbiology and Immunology, Cornell University) S Scott A. Leddon (Department of Microbiology and Immunology, Cornell University) P Peter Schweitzer (Meinig School of Biomedical Engineering, Cornell University) S Subash Bhandari (Meinig School of Biomedical Engineering, Cornell University) C Chase Holdener (Meinig School of Biomedical Engineering, Cornell University) I Ioannis Ntekas (Meinig School of Biomedical Engineering, Cornell University) C Christopher Vollmers (Department of Biomolecular Engineering, University of California) A Andrew I. Flyak (Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University) D Deborah J. Fowell (Department of Microbiology and Immunology, Cornell University) B Brian D. Rudd (Department of Microbiology and Immunology, Cornell University) I Iwijn De Vlaminck

Abstract

The spatial organization of adaptive immune cells within lymph nodes is critical for understanding immune responses during infection and disease. Here, we introduce AIR-SPACE, an integrative approach that combines high-resolution spatial transcriptomics with paired, high-fidelity long-read sequencing of T and B cell receptors. This method enables the simultaneous analysis of cellular transcriptomes and adaptive immune receptor (AIR) repertoires within their native spatial context. We applied AIR-SPACE to mouse popliteal lymph nodes at five distinct time points after Vaccinia virus footpad infection and constructed a comprehensive map of the developing adaptive immune response. Our analysis revealed heterogeneous activation niches, characterized by Interferon-gamma (IFN-γ) production, during the early stages of infection. At later stages, we delineated subanatomical structures within the germinal center (GC) and observed evidence that antibody-producing plasma cells differentiate and exit the GC through the dark zone. Furthermore, by combining clonotype data with spatial lineage tracing, we demonstrate that B cell clones are shared among multiple GCs within the same lymph node, reinforcing the concept of a dynamic, interconnected network of GCs. Overall, our study demonstrates how AIR-SPACE can be used to gain insight into the spatial dynamics of infection responses within lymphoid organs.

Article Details

Volume / Issue Vol. 123, Issue 5
Published February 03, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (14)

S

Shaowen Jiang

Meinig School of Biomedical Engineering, Cornell University

J

Jahanara Freedman

Meinig School of Biomedical Engineering, Cornell University

M

Madhav Mantri

Meinig School of Biomedical Engineering, Cornell University

V

Viviana Maymi

Department of Microbiology and Immunology, Cornell University

S

Scott A. Leddon

Department of Microbiology and Immunology, Cornell University

P

Peter Schweitzer

Meinig School of Biomedical Engineering, Cornell University

S

Subash Bhandari

Meinig School of Biomedical Engineering, Cornell University

C

Chase Holdener

Meinig School of Biomedical Engineering, Cornell University

I

Ioannis Ntekas

Meinig School of Biomedical Engineering, Cornell University

C

Christopher Vollmers

Department of Biomolecular Engineering, University of California

A

Andrew I. Flyak

Department of Microbiology and Immunology, College of Veterinary Medicine, Cornell University

D

Deborah J. Fowell

Department of Microbiology and Immunology, Cornell University

B

Brian D. Rudd

Department of Microbiology and Immunology, Cornell University

I

Iwijn De Vlaminck