Back

The in vivo inhibitory function of the MHC-I alpha3 domain/CD8alpha interaction

Zhao, J.; Feng, L.; Xu, Y.; Alsbei, K.; Wang, J.; Zhou, T.; Zhan, Q.; Sun, S.; Hong, E.; Meng, L.; Jin, N.; Cheng, X.; Wen, H.; Xin, G.; Rubinstein, M.; Huang, S.; Li, Z.; Han, X.; Zheng, L.

2026-05-26 immunology
10.64898/2026.05.21.726907 bioRxiv
Show abstract

The interaction between the Major Histocompatibility Complex Class I (MHC-I) 3 domain and CD8 has classically been viewed as a positive coreceptor interaction that stabilizes TCR signaling during antigen recognition. However, its physiological function in mature peripheral CD8+ T cells in vivo remains incompletely understood. Here, we identify the MHC-I 3 domain-CD8 interaction as a previously unrecognized inhibitory pathway that tonically restrains peripheral CD8+ T-cell activation and maintains T-cell tolerance in vivo. Antibody-mediated disruption of the MHC-I 3 domain-CD8 interaction induced spontaneous activation of peripheral CD8+ T cells without impairing their survival, lowered the threshold for antigen-induced activation, and enhanced responsiveness to cognate peptide stimulation. In peptide-induced OT-I T-cell anergy models, blockade of either H-2Db or H-2Kb 3 domain interactions with CD8 prevented the induction of anergy and restored responsiveness of previously anergic T cells. Notably, blockade of the H-2Kb 3 domain enhanced OT-I responses despite simultaneously disrupting the classical positive coreceptor interaction within the TCR-peptide-MHC complex, indicating that tonic inhibitory signaling mediated by the MHC-I 3 domain predominates under these conditions. Together, these findings redefine the classical MHC-I-CD8 interaction as a bidirectional pathway that not only supports antigen recognition but also imposes tonic inhibitory control over peripheral CD8+ T cells. These results identify the MHC-I 3 domain-CD8 axis as a potential target for reversing T-cell tolerance and enhancing antitumor or antiviral immunity.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Cell Reports
1338 papers in training set
Top 1.0%
14.1%
2
Immunity
58 papers in training set
Top 0.5%
9.9%
3
eLife
5422 papers in training set
Top 7%
9.0%
4
Journal of Experimental Medicine
106 papers in training set
Top 0.2%
8.3%
5
Science Immunology
81 papers in training set
Top 0.1%
8.3%
6
Nature Communications
4913 papers in training set
Top 34%
4.8%
50% of probability mass above
7
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 18%
3.9%
8
Cellular & Molecular Immunology
14 papers in training set
Top 0.4%
3.5%
9
Science Advances
1098 papers in training set
Top 6%
3.5%
10
JCI Insight
241 papers in training set
Top 2%
3.5%
11
Nature Immunology
71 papers in training set
Top 0.8%
2.6%
12
Frontiers in Immunology
586 papers in training set
Top 3%
2.3%
13
Cancer Immunology Research
34 papers in training set
Top 0.2%
2.0%
14
Journal of Clinical Investigation
164 papers in training set
Top 3%
1.9%
15
The Journal of Immunology
146 papers in training set
Top 0.7%
1.9%
16
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.7%
1.5%
17
EMBO reports
136 papers in training set
Top 4%
1.3%
18
mBio
750 papers in training set
Top 9%
1.3%
19
PLOS Pathogens
721 papers in training set
Top 7%
1.1%
20
Journal of Cell Biology
333 papers in training set
Top 3%
0.9%
21
PLOS Biology
408 papers in training set
Top 16%
0.9%
22
Science Signaling
55 papers in training set
Top 0.4%
0.8%
23
iScience
1063 papers in training set
Top 33%
0.7%
24
Nucleic Acids Research
1128 papers in training set
Top 18%
0.7%
25
Cell Chemical Biology
81 papers in training set
Top 4%
0.7%
26
EMBO Reports
88 papers in training set
Top 0.9%
0.7%