bioRxivImmunology
An autophagy program that promotes T cell egress from the lymph node controls responses to immune checkpoint blockade
D. Houbaert, A. P. Nikolakopoulos, O. Mece, K. Jacobs, J. Roels, G. Shankar, M. Agrawal, S. More, M. Ganne, K. Rillaerts, L. Boon, M. Swoboda, M. Nobis, L. Mourao, F. M. Bosisio, N. Vandamme, G. Bergers, C. Scheele, P. Agostinis
Abstract
Lymphatic endothelial cells (LECs) lining the lymphatic vessels of the lymph node (LN) parenchyma orchestrate leukocyte trafficking and peripheral T cell dynamics. T cell responses to immunotherapy largely rely on peripheral T cell recruitment in tumors. Yet, a systematic and molecular understanding of how LECs within the LNs control T cell dynamics under steady state and tumor-bearing conditions is lacking. Using intravital and high-resolution imaging combined with immune phenotyping, we show that LEC-specific deletion of the essential autophagy gene Atg5 alters intranodal positioning of lymphocytes and accrues their persistence in the LNs, by increasing the availability of the main egress signal S1P. Single-cell RNA-sequencing of tumor-draining LNs from WT and ATG5LEC-KO mice unveils that loss of ATG5 remodels niche-specific LEC phenotypes, involved in molecular pathways regulating lymphocyte trafficking and LEC-T cell interactions. Functionally, loss of LEC-autophagy prevents recruitment of tumor-infiltrating T cells and NK cells and abrogates tumor regression in response to anti-PD-1 or anti-CTLA4-based immunotherapy. Thus, a unique LEC-autophagy program boosts immune-checkpoint responses by guiding systemic T cell dynamics. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=143 SRC="FIGDIR/small/549282v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@1a4bfe1org.highwire.dtl.DTLVardef@1317fe2org.highwire.dtl.DTLVardef@c2fa20org.highwire.dtl.DTLVardef@b35dba_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: mouse
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: cell-cell communication
- research focus: drug response / drug discovery
- approach: microscopy & imaging analysis
- approach: statistical model
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