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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: Nat Med. 2020 Mar 16;26(4):519–528. doi: 10.1038/s41591-020-0782-y

Extended Data Figure 5. SIV-specific CD8+ T-cells display an exhausted phenotype that is not rescued by ICB during suppressive ART, but by viral rebound following ATI.

Extended Data Figure 5.

Within memory CD8+ T-cells at the on-ART, pre-treatment baseline (d-29 p.t.; n=5 ICB-treated, Mamu-A*01+ RMs) the frequencies of exhaustion, proliferative and activation biomarkers (as indicated above) were quantified via flow cytometry in SIV-specific and non-specific subsets, as assessed by anti-Gag-CM9 staining (as indicated below) in (a) LN and (b) PBMCs. Likewise, within LN SIV-specific memory CD8+ T-cells the frequencies of (c) Ki-67+, (d) HLA-DR+CD38+, (e) T-bet+, and (f) Granzyme B+ cells were measured at the pre-ICB baseline and following the fourth ICB infusion (d28 p.t.). Likewise, the frequencies of (g) Ki-67+, (h) HLA-DR+CD38+, (i) T-bet+, and (j) Granzyme B+ cells within SIV-specific memory CD8+ T-cells in PBMCs were quantified at the pre-ICB baseline, following the third ICB treatment (d21 p.t.), and 15 days following ART interruption (d50 p.t.). Analyses were conducted in up to 6 Mamu-A*01+ RMs (g,h,i,j), of which 5 were ICB-treated (a,b,c,d,e,f). Each data point represents an individual animal, as indicated by shape, and those with ICB-related viral reactivation in plasma are represented as closed data points. Averaged data are presented as the mean ± SEM and were analyzed with (a,b) a one-way, pair-wise ANOVA using a Bonferroni correction for multiple corrections.