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Mapping autophagosome contents identifies interleukin-7 receptor-α as a key cargo modulating CD4+ T cell proliferation

Abstract:
CD4+ T cells are pivotal cells playing roles in the orchestration of humoral and cytotoxic immune responses. It is known that CD4+ T cell proliferation relies on autophagy, but identification of the autophagosomal cargo involved is missing. Here we create a transgenic mouse model, to enable direct mapping of the proteinaceous content of autophagosomes in primary cells by LC3 proximity labelling. Interleukin-7 receptor-α, a cytokine receptor mostly found in naïve and memory T cells, is reproducibly detected in autophagosomes of activated CD4+ T cells. Consistently, CD4+ T cells lacking autophagy show increased interleukin-7 receptor-α surface expression, while no defect in internalisation is observed. Mechanistically, excessive surface interleukin-7 receptor-α sequestrates the common gamma chain, impairing the interleukin-2 receptor assembly and downstream signalling crucial for T cell proliferation. This study shows that key autophagy substrates can be reliably identified in this mouse model and help mechanistically unravel autophagy’s contribution to healthy physiology and disease.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-022-32718-x

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Kennedy Institute for Rheumatology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Kennedy Institute for Rheumatology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Kennedy Institute for Rheumatology
Role:
Author


Publisher:
Springer Nature
Journal:
Nature Communications More from this journal
Volume:
13
Issue:
1
Article number:
5174
Publication date:
2022-09-02
Acceptance date:
2022-08-09
DOI:
EISSN:
2041-1723


Language:
English
Keywords:
Pubs id:
1277097
Local pid:
pubs:1277097
Deposit date:
2022-09-04
ARK identifier:

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