Abstract
T cell immunoglobulin and mucin-containing molecule 3 (TIM-3), first identified as a molecule expressed on interferon-γ producing T cells1, is emerging as an important immune-checkpoint molecule, with therapeutic blockade of TIM-3 being investigated in multiple human malignancies. Expression of TIM-3 on CD8+ T cells in the tumour microenvironment is considered a cardinal sign of T cell dysfunction; however, TIM-3 is also expressed on several other types of immune cell, confounding interpretation of results following blockade using anti-TIM-3 monoclonal antibodies. Here, using conditional knockouts of TIM-3 together with single-cell RNA sequencing, we demonstrate the singular importance of TIM-3 on dendritic cells (DCs), whereby loss of TIM-3 on DCs—but not on CD4+ or CD8+ T cells—promotes strong anti-tumour immunity. Loss of TIM-3 prevented DCs from expressing a regulatory program and facilitated the maintenance of CD8+ effector and stem-like T cells. Conditional deletion of TIM-3 in DCs led to increased accumulation of reactive oxygen species resulting in NLRP3 inflammasome activation. Inhibition of inflammasome activation, or downstream effector cytokines interleukin-1β (IL-1β) and IL-18, completely abrogated the protective anti-tumour immunity observed with TIM-3 deletion in DCs. Together, our findings reveal an important role for TIM-3 in regulating DC function and underscore the potential of TIM-3 blockade in promoting anti-tumour immunity by regulating inflammasome activation.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Data availability
Data have been uploaded to NCBI Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/) under data repository accession number GSE151914. Source data are provided with this paper.
References
Monney, L. et al. Th1-specific cell surface protein Tim-3 regulates macrophage activation and severity of an autoimmune disease. Nature 415, 536–541 (2002).
Sakuishi, K. et al. Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity. J. Exp. Med. 207, 2187–2194 (2010).
Jin, H. T. et al. Cooperation of Tim-3 and PD-1 in CD8 T-cell exhaustion during chronic viral infection. Proc. Natl Acad. Sci. USA 107, 14733–14738 (2010).
Rangachari, M. et al. Bat3 promotes T cell responses and autoimmunity by repressing Tim-3-mediated cell death and exhaustion. Nat. Med. 18, 1394–1400 (2012).
da Silva, I. P. et al. Reversal of NK-cell exhaustion in advanced melanoma by Tim-3 blockade. Cancer Immunol. Res. 2, 410–422 (2014).
Anderson, A. C. et al. Promotion of tissue inflammation by the immune receptor Tim-3 expressed on innate immune cells. Science 318, 1141–1143 (2007).
Liu, L. Z. et al. CCL15 recruits suppressive monocytes to facilitate immune escape and disease progression in hepatocellular carcinoma. Hepatology 69, 143–159 (2019).
Broz, M. L. et al. Dissecting the tumor myeloid compartment reveals rare activating antigen-presenting cells critical for T cell immunity. Cancer Cell 26, 638–652 (2014).
de Mingo Pulido, A. et al. TIM-3 regulates CD103+ dendritic cell function and response to chemotherapy in breast cancer. Cancer Cell 33, 60–74 (2018).
Chiba, S. et al. Tumor-infiltrating DCs suppress nucleic acid-mediated innate immune responses through interactions between the receptor TIM-3 and the alarmin HMGB1. Nat. Immunol. 13, 832–842 (2012).
Gayden, T. et al. Germline HAVCR2 mutations altering TIM-3 characterize subcutaneous panniculitis-like T cell lymphomas with hemophagocytic lymphohistiocytic syndrome. Nat. Genet. 50, 1650–1657 (2018).
Kikushige, Y. et al. TIM-3 is a promising target to selectively kill acute myeloid leukemia stem cells. Cell Stem Cell 7, 708–717 (2010).
Dama, P., Tang, M., Fulton, N., Kline, J. & Liu, H. Gal9/Tim-3 expression level is higher in AML patients who fail chemotherapy. J. Immunother. Cancer 7, 175 (2019).
Uma Borate, M. et al. Phase Ib study of the anti-TIM-3 antibody MBG453 in combination with decitabine in patients with high-risk myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). Blood 134, 570 (2019).
Roberts, E. W. et al. Critical role for CD103+/CD141+ dendritic cells bearing CCR7 for tumor antigen trafficking and priming of T cell immunity in melanoma. Cancer Cell 30, 324–336 (2016).
Maier, B. et al. A conserved dendritic-cell regulatory program limits antitumour immunity. Nature 580, 257–262 (2020).
Polprasert, C. et al. Frequent germline mutations of HAVCR2 in sporadic subcutaneous panniculitis-like T-cell lymphoma. Blood Adv. 3, 588–595 (2019).
Pfirschke, C. et al. Immunogenic chemotherapy sensitizes tumors to checkpoint blockade therapy. Immunity 44, 343–354 (2016).
Sade-Feldman, M. et al. Defining T cell states associated with response to checkpoint immunotherapy in melanoma. Cell 175, 998–1013 (2018).
Best, J. A. et al. Transcriptional insights into the CD8+ T cell response to infection and memory T cell formation. Nat. Immunol. 14, 404–412 (2013).
Kurtulus, S. et al. Checkpoint blockade immunotherapy induces dynamic changes in PD-1−CD8+ tumor-infiltrating T cells. Immunity 50, 181–194 (2019).
Yost, K. E. et al. Clonal replacement of tumor-specific T cells following PD-1 blockade. Nat. Med. 25, 1251–1259 (2019).
Thommen, D. S. et al. A transcriptionally and functionally distinct PD-1+CD8+ T cell pool with predictive potential in non-small-cell lung cancer treated with PD-1 blockade. Nat. Med. 24, 994–1004 (2018).
Siddiqui, I. et al. Intratumoral Tcf1+PD-1+CD8+ T cells with stem-like properties promote tumor control in response to vaccination and checkpoint blockade immunotherapy. Immunity 50, 195–211 (2019).
Miller, B. C. et al. Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade. Nat. Immunol. 20, 326–336 (2019).
Im, S. J. et al. Defining CD8+ T cells that provide the proliferative burst after PD-1 therapy. Nature 537, 417–421 (2016).
Pauken, K. E. et al. Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockade. Science 354, 1160–1165 (2016).
Jadhav, R. R. et al. Epigenetic signature of PD-1+TCF1+ CD8 T cells that act as resource cells during chronic viral infection and respond to PD-1 blockade. Proc. Natl Acad. Sci. USA 116, 14113–14118 (2019).
Bottcher, J. P. et al. NK cells stimulate recruitment of cDC1 into the tumor microenvironment promoting cancer immune control. Cell 172, 1022–1037 (2018).
Spranger, S., Dai, D., Horton, B. & Gajewski, T. F. Tumor-residing Batf3 dendritic cells are required for effector T cell trafficking and adoptive T cell therapy. Cancer Cell 31, 711–723 (2017).
Schiebinger, G. et al. Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming. Cell 176, 928–943 (2019).
Martinon, F., Burns, K. & Tschopp, J. The inflammasome: a molecular platform triggering activation of inflammatory caspases and processing of proIL-beta. Mol. Cell 10, 417–426 (2002).
Zanoni, I. et al. An endogenous caspase-11 ligand elicits interleukin-1 release from living dendritic cells. Science 352, 1232–1236 (2016).
Masters, S. L. et al. Activation of the NLRP3 inflammasome by islet amyloid polypeptide provides a mechanism for enhanced IL-1β in type 2 diabetes. Nat. Immunol. 11, 897–904 (2010).
Martinon, F. Signaling by ROS drives inflammasome activation. Eur. J. Immunol. 40, 616–619 (2010).
Schroder, K., Zhou, R. & Tschopp, J. The NLRP3 inflammasome: a sensor for metabolic danger? Science 327, 296–300 (2010).
Groß, C. J. et al. K+ efflux-independent NLRP3 inflammasome activation by small molecules targeting mitochondria. Immunity 45, 761–773 (2016).
Chakraborty, D. et al. Enhanced autophagic-lysosomal activity and increased BAG3-mediated selective macroautophagy as adaptive response of neuronal cells to chronic oxidative stress. Redox Biol. 24, 101181 (2019).
Rosati, A., Graziano, V., De Laurenzi, V., Pascale, M. & Turco, M. C. BAG3: a multifaceted protein that regulates major cell pathways. Cell Death Dis. 2, e141 (2011).
Coll, R. C. et al. A small-molecule inhibitor of the NLRP3 inflammasome for the treatment of inflammatory diseases. Nat. Med. 21, 248–255 (2015).
Zhai, Y. et al. Opposing regulatory functions of the TIM3 (HAVCR2) signalosome in primary effector T cells as revealed by quantitative interactomics. Cell. Mol. Immunol. (2020).
Zeidan, A. M. et al. A multi-center phase I trial of ipilimumab in patients with myelodysplastic syndromes following hypomethylating agent failure. Clin. Cancer Res. 24, 3519–3527 (2018).
Davids, M. S. et al. Ipilimumab for patients with relapse after allogeneic transplantation. N. Engl. J. Med. 375, 143–153 (2016).
Daver, N. et al. Phase IB/II study of nivolumab in combination with azacytidine (AZA) in patients (pts) with relapsed acute myeloid leukemia (AML). Blood 128, 763 (2016).
Zhivaki, D. et al. Inflammasomes within hyperactive murine dendritic cells stimulate long-lived T cell-mediated anti-tumor immunity. Cell Rep. 33, 108381 (2020).
Engblom, C. et al. Osteoblasts remotely supply lung tumors with cancer-promoting SiglecFhigh neutrophils. Science 358, eaal5081 (2017).
Li, B. et al. Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq. Nat. Methods 17, 793–798 (2021).
Butler, A., Hoffman, P., Smibert, P., Papalexi, E. & Satija, R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat. Biotechnol. 36, 411–420 (2018).
Becht, E. et al. Dimensionality reduction for visualizing single-cell data using UMAP. Nat. Biotechnol. 37, 38–44 (2019).
Zilionis, R. et al. Single-cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species. Immunity 50, 1317–1334 (2019).
Gubin, M. M. et al. High-dimensional analysis delineates myeloid and lymphoid compartment remodeling during successful immune-checkpoint cancer therapy. Cell 175, 1014–1030 (2018).
Lee, P. H. et al. Host conditioning with IL-1β improves the antitumor function of adoptively transferred T cells. J. Exp. Med. 216, 2619–2634 (2019).
Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010).
Mertins, P. et al. An integrative framework reveals signaling-to-transcription events in Toll-like receptor signaling. Cell Rep. 19, 2853–2866 (2017).
Acknowledgements
We thank all members of the Kuchroo lab, L. Apetoh, N. Acharya, M. Collins, A. Madi, Y. Wolf, J. Kagan and D. Zhivaki for insightful discussions, J. Xia, H. Stroh, S. Zaghouani, R. Kumar, C. Farmer and C. Lambden for laboratory support, and L. Gaffney for figure editing. The lung adenocarcinoma cell line KP1.9 was derived from lung tumours of C57BL/6 KP mice and was provided by A. Zippelius. The Ncr1cre mice were provided by E. Vivier. We thank J. Gould for help with Cumulus pipelines. K.O.D. was supported by the European Commission, Excellent Science H2020 no. 708658 and no. 10130984. M.A.S. was supported by Deutsche Forschungsgemeinschaft (DFG grant SCHR 1481/1-1). This work was supported by grants from the National Institutes of Health (V.K.K.: P01AI073748, P01CA236749, P01 AI056299, P01 AI039671 and R01AI144166; A.C.A.: R01CA187975), Klarman Cell Observatory at Broad Institute and a CEGS grant from NIH (M.T. and A.R.), and a Brigham and Women’s President’s Scholar Award (A.C.A.).
Author information
Authors and Affiliations
Contributions
K.O.D. performed experiments with help from M.A.S. M.T. performed computational analysis with guidance from A.R. S.X. generated the TIM-3 floxed mouse. R.T., D.D., A.C.A., O.R.-R. and A.R. provided input or other essential resources. K.O.D. and V.K.K. designed the experimental setup and conceived the study. K.O.D. wrote the manuscript and prepared figures with input and edits from V.K.K. and all authors.
Corresponding author
Ethics declarations
Competing interests
V.K.K. has an ownership interest in and is a member of the scientific advisory board for Tizona Therapeutics, Bicara Therapeutics, Compass Therapeutics, Larkspur Biosciences and Trishula Therapeutics. V.K.K. and A.C.A. are named inventors on patents related to TIM-3. K.O.D., V.K.K., M.T. and A.R. are named inventors on a provisional patent that has been filed including work from this study. A.R. and V.K.K. are co-founders of and have an ownership interest in Celsius Therapeutics. Additionally, A.R. is a co-founder and equity holder in Immunitas Therapeutics, and was a scientific advisory board member of Thermo Fisher Scientific, Syros Pharmaceuticals, Asimov, and Neogene Therapeutics until 31 July 2020. A.C.A. is a member of the advisory board for Tizona Therapeutics, Trishula Therapeutics, Compass Therapeutics, Zumutor Biologics and ImmuneOncia and is a paid consultant for Larkspur Biosciences and iTeos Therapeutics. A.R. and O.R.-R. are co-inventors on patent applications filed by the Broad Institute to inventions relating to single-cell genomics. The interests of V.K.K. were reviewed and managed by the Brigham and Women’s Hospital and Partners Healthcare in accordance with their conflict-of-interest policies. The interests of A.R. were reviewed and managed by the Broad Institute and HHMI in accordance with their conflict-of-interest policies. Since 1 August 2020, A.R. has been an employee of Genentech, a member of the Roche group. O.R.-R. is currently an employee of Genentech. The authors declare no other competing interests.
Additional information
Peer review information Nature thanks Laurence Zitvogel and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data figures and tables
Extended Data Fig. 1 Generation of conditional knockout mice for TIM-3.
a, Strategy for generating the Havcr2-targeting vector to target the Havcr2 allele. Blue boxes represent exons (E). The 5′ external probes for Southern Blot are indicated by thick red line. Targeted events were identified by Southern blot analysis of Afl2-digested genomic ES cell DNAs with the 5′ flanking probe as shown in A. b, MC38-OVAdim (0.5 × 106 cells) were subcutaneously implanted into Havcr2fl/fl and Havcr2fl/flCd11cCre mice. On D14 dLNs were explanted followed by cell sorting for sc-RNA-seq of CD45+ cells. UMAPs of canonical cDC1 markers Xcr1, Clec9a and Flt3, (bottom) UMAP of Havcr2 expression among clusters found in dLN, violin plot from scRNA-seq displaying normalized expression of Havcr2 in each cluster. c, d, WT mice were implanted with MC38 cells (1.0 × 106). On D21 tumours were explanted followed by flow cytometric analysis of TIM-3 (gMFI) on tumour infiltrating immune cells (n = 3-4). e, MC38-OVAdim (0.5 × 106 cells) tumour cells were subcutaneously implanted into Havcr2fl/fl, Havcr2fl/fl LysMCre (n = 3), Havcr2fl/flCx3cr1Cre (n = 3) and Havcr2fl/flZbtb46Cre (n = 4) animals. Representative Flow cytometric analysis of TIM-3 expression on DC1, DC2, migDCs, macrophages and monocytes. DCs were gated as in Ext Fig. 2: CD45+, CD3-CD19-NK1.1-, ClassII+CD11c+, Ly6c-CD64- and DC1: CD103+CD11b-, DC2: CD11b+ CD103- migDCs CD11b+CD103+. Macrophages: CD45+, CD3-CD19-NK1.1-, ClassIIlo Ly6cloCD64+F480+CX3CR1+, monocytes ClassIIlo Ly6chiCD64loLy6g-. (right) Percentage expression and gMFI of TIM-3. f, MC38-OVAdim (0.5 × 106 cells) were subcutaneously implanted into Havcr2fl/fl (n = 5), Havcr2fl/flCd4Cre (n = 3), Havcr2fl/flCd11cCre (n = 5) and Havcr2fl/flZbtb46Cre (n = 4) mice. On D14 tumours were explanted followed by flow cytometric analysis of TIM-3 expression on CD4 TILs, CD8 TILs and tumour infiltrating DC1 from Havcr2fl/fl, Havcr2fl/fl × CD4Cre, Havcr2fl/fl × CD11cCre and Havcr2fl/fl × Zbtb46Cre. The results shown are from one experiment, representative of at least 3 independent experiments. ***P < 0.001; ****P < 0.0001 (One-Way ANOVA). Data shown (f) as mean ± s.e.m. *P < 0.05; ****P < 0.0001 (Student Two-Tailed t-test).
Extended Data Fig. 2 Deletion of TIM-3 in cDC using Zbtb46 recapitulates findings using CD11c cre.
a, Tumour growth curve of MC38-OVAdim subcutaneously implanted into Havcr2fl/fl and Havcr2fl/flLysMCre (n = 6). b, Tumour growth curve MC38-OVAdim OVA subcutaneously implanted Havcr2fl/+ × CD11cCre and Havcr2fl/fl × CD11cCre (n = 5). c, Tumour of Havcr2fl/fl mice implanted with B16-OVA. On D3 XCR1+ BMDC1 were sorted, pulsed with OVA and injected into tumour bearing mice. d, Flow-cytometric analysis of frequency (n = 9), and absolute number (n = 4) of OVA specific CD8+ T cells from tumours injected with Havcr2fl/fl or Havcr2cko DC1. e–h, Flow-cytometric analysis of OVA specific CD8+ T cells from tumours injected with Havcr2fl/fl or Havcr2cko DC1 (n = 4). i, MC38-OVAdim (0.5 × 106 cells) tumour cells were subcutaneously implanted into Havcr2fl/fl and Havcr2fl/fl × Zbtb46Cre animals (n = 4-5). Flow cytometric analysis (d14) of TIM-3 expression on tumour infiltrating DC1, DC2, migDCs and pDC from Havcr2fl/fl and Havcr2fl/fl × Zbtb46Cre. j, Tumour weight and total CD45+ cells of MC38 subcutaneously implanted Havcr2fl/fl and Havcr2fl/fl × Zbtb46Cre (n = 5). k, Tumour growth curve of B16 subcutaneously implanted Havcr2fl/fl and Havcr2fl/fl × Zbtb46Cre (n = 9). l, m, Tumour growth curve of B16F10 melanoma (l) and B16-OVA (m) subcutaneously implanted Havcr2fl/fl, Havcr2fl/fl × CD4Cre and Havcr2fl/fl × CD11cCre cre in parallel (n = 4-5). n, Weights of tumours from (Fig. 1l). o, B16-OVA subcutaneously implanted Havcr2fl/fl, Havcr2fl/fl × CD4Cre and Havcr2fl/fl × Zbtb46Cre in parallel (n = 4). The results shown are from one experiment, representative of at least three independent experiments. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001 (Two-Way ANOVA). Data shown (d–h) as mean ± s.e.m. *P < 0.05; **P < 0.01 (Student Two-Tailed t-test).
Extended Data Fig. 3 Deficiency of TIM-3 on DC leads to increased numbers of tumour infiltrating CD8+ T cells.
MC38-OVAdim (0.5 × 106 cells) tumour cells were subcutaneously implanted into Havcr2fl/fl and isolated at D14. a, Gating strategy and phenotype of intratumoral myeloid cells. b–l, Flow cytometric quantification of immune cells in tumours from Havcr2fl/fl and Havcr2fl/fl × CD11cCre mice at d14 harvest. m, Flow cytometric analysis of DC1 and Mig DC from Havcr2fl/fl and Havcr2cko tumours at d14 harvest following in vitro stimulation for 4 h in the presence of Brefeldin A and Monensin. Data shown (l) as mean ± s.e.m. *P < 0.05 (Student Two-Tailed t-test) n = 5–9/group.
Extended Data Fig. 4 scRNA-seq of Havcr2fl/fl and Havcr2cko total CD45+ cells.
a, UMAP scRNA-seq plot of annotated total cells from Havcr2fl/fl and Havcr2fl/fl × CD11cCre (Havcr2cko) tumours. b, UMAP scRNA-seq plots showing select marker gene expression. c, Heat map from scRNA-seq displaying normalized expression of select genes in each cluster. d, UMAP scRNA-seq plot showing distribution of Havcr2fl/fl (blue) and Havcr2cko (orange) cells. e, Bar graph showing frequency of Havcr2fl/fl (blue) and Havcr2cko (orange) cells in each cluster.
Extended Data Fig. 5 Expansion of CD8+ PD1+ cells in Havcr2cko tumours.
MC38-OVAdim (0.5 × 106 cells) were subcutaneously implanted into Havcr2fl/fl and Havcr2fl/fl × CD11cCre (Havcr2cko) mice and harvested on D14. a, Frequency (n = 9-10) and absolute numbers (n = 4-5) of CD8+ PD1+ TILs from Havcr2fl/fl and Havcr2cko tumours. b, Analysis of expression of PD1 versus TIM-3, Lag3 and TIGIT in CD8+ TILs (n = 4-5). c, Flow cytometry (d14 harvest) of CD8 TILs from Havcr2fl/fl and Havcr2cko for expression of TIM-3 and CXCR5 (n = 4–5). d, Flow cytometry of CD8+ PD1+ TILs from Havcr2fl/fl and Havcr2fl/fl × Zbtb46Cre for expression of IL-7R, SLAMF6 CX3CR1, IFNγ, IL-2, TCF1, Ki67 and T-bet (bottom right) Representative histograms of data in d. The results shown are from one experiment, representative of at least three independent experiments, n = 4-5 group. *P < 0.05; **P < 0.01; (Student Two-Tailed t-test).
Extended Data Fig. 6 Identification of tumour infiltrating myeloid cells in Havcr2fl/fl and Havcr2cko tumours.
a, UMAP scRNA-seq plot of annotated total myeloid cells from Havcr2fl/fl and Havcr2fl/fl × CD11cCre (Havcr2cko) tumours. b, UMAP scRNA-seq plots showing select marker gene expression. c, Heat map from scRNA-seq displaying normalized expression of select genes in each cluster. d, UMAP scRNA-seq plot showing distribution of Havcr2fl/fl (blue) and Havcr2cko (orange) cells. e, Bar graph showing frequency of Havcr2fl/fl (blue) and Havcr2cko (orange) cells in each cluster.
Extended Data Fig. 7 Decreased expression of mregDC markers in TIM-3-deficient migDCs.
a, MC38-OVAdim (0.5 × 106 cells) tumour cells were subcutaneously implanted into Havcr2fl/fl and Havcr2fl/fl × CD11cCre (Havcr2cko) animals and Flow cytometric analysis of DC populations was performed on D14 to assess expression of described mregDC markers including CD200, CD83, IL4R and OX40. The results shown are from one experiment, n = 5 per group. *P < 0.05; **P < 0.01; ***P < 0.001; (One-Way ANOVA). b, Tumour growth curves of MC38-OVAdim (0.5 × 106 cells) subcutaneously implanted into Havcr2fl/fl and Havcr2cko mice treated with either Isotype control, anti-IL-12 (500μg/mouse) or anti-IL-4 (25μg/mouse). Treatment was initiated on D3 and antibodies were delivered i.p. every 3 days until experiment cessation. The results shown are from one experiment, n = 4-5 per group. ***P < 0.001; ****P < 0.0001 (Two-Way ANOVA). c, Splenic DC were sorted from Havcr2fl/fl and Havcr2cko animals and cultured with dead HLA mismatched splenocytes osmotically loaded with 10mg/ml Ova together with CTV labelled naïve OTI cells. Representative plots of CD44+ CTVlo T cells after 72-h co-culture. Mean ± s.e.m. of 3 individual mice. Alternatively, DC from Havcr2fl/fl and Havcr2cko animals, were cultured with beads passively adsorbed with Ova together with CTV labelled naïve OTI cells. Representative plots of CD44+ CTVlo T cells after 72-h co-culture. Mean ± s.e.m. of 3 individual mice, *P < 0.0001 (Student Two-Tailed t-test). d, CFSE or CTV labelled splenocytes were pulsed with OVA257-264 or MOG37-46 (Irrelevant Antigen) and injected at 50:50 ratio into MC38-OVAdim bearing Havcr2fl/fl or Havcr2cko mice. Percentage cytotoxicity calculated as 100-(CTV/CTV+CFSE) (n = 5). e, Bar plot of data from Fig. 4a, demonstrating unidirectional analysis of the fraction of DCs expressing ligand X and the fraction of T cells expressing the cognate Receptor; Ligand (migDCs): Receptor (CD8) interaction from Havcr2fl/fl (grey) and Havcr2cko (red) tumours. f, UMAP showing expression of Il18r1 and Il18rap on cluster 7 (CD8+ T cells), with violin plots showing the differential expression of both receptor in of Havcr2fl/fl (blue) and Havcr2cko (orange) CD8+ T cells, Havcr2fl/fl and Havcr2cko (e) tumours were harvested and mechanically dissociated. Tissue supernatant was collected, and levels of cytokines were determined relative to mg protein per sample, n = 4/group, **P < 0.01; (Student Two-Tailed t-test).
Extended Data Fig. 8 Enhanced inflammasome activation in TIM-3-deficient cko DC.
BMDC were differentiated in the presence of FLT3L for 10 days. a, Flow cytometric analysis assessing typical DC1 and DC2 markers. XCR1+ cells were sorted after 10 days of differentiation and seeded at a density of 0.25 × 106. Sorted cells were either unstimulated or primed with LPS (1μg/ml) for 3 h followed by the addition of oxidised phospholipids (ox-PAPC) (100μg/ml), pdA: dT (1μg/ml), Flagellin (1μg/ml), C. difficile (1μg/ml), or Nigericin (10mM). b, c, Following overnight cultures supernatants were harvested and ELISA was performed to detect IL-1β (b) and TNF (c) (non-inflammasome regulated control). The results shown are from one experiment (n = 3 per group), representative of at least 3 individual experiments, *P < 0.05 **P < 0.01; ***P < 0.001 (Student Two Tailed t-test). d, MC38-OVAdim was subcutaneously implanted into Havcr2fl/fl and Havcr2cko mice and on D14 mononuclear cells were isolated and incubated with DHR123 as a measure of ROS activity (n = 4). e, Tumour growth curve of MC38-OVAdim subcutaneously implanted Havcr2fl/fl and Havcr2cko treated with control or anti-IL-1β and anti-IL-18 (n = 4). f, Weights of B16-OVA (0.25 × 106 cells) subcutaneously implanted into Havcr2fl/fl and Havcr2fl/fl × Zbtb46Cre and treated with either Isotype control (Hamster IgG and Rat IgG2a) or anti-IL-1β and anti-IL-18 (Hamster IgG and Rat IgG2a respectively), all at a dose of 8mg/kg. g–k, Flow cytometric analysis of CD8+ TILs harvested from MC38-OVAdim tumours subcutaneously implanted into Havcr2fl/fl and Havcr2fl/fl × Zbtb46Cre and treated with either Isotype control upon termination of experiment (d15). The results shown are from one experiment, representative of at least two independent experiments n = 4-5/group. ***P < 0.001; ****P < 0.0001 (Two-Way ANOVA). l–n, Havcr2fl/fl (l), Havcr2fl/fl × CD4Cre (m) and and Havcr2fl/fl × Zbtb46Cre (n) mice were implanted with B16-OVA and monitored for development of a palpable tumour. On D6 when tumours reached ~30-50mm2 mice were randomized and treated with either (i) Isotype controls (IgG2a and IgG2b), (ii) anti-TIM-3, (iii) anti PD-L1 and (iv) anti-TIM-3 + PD-L1. Anti-TIM-3 was administered at a dose of 200μg/mouse and anti-PDL1 at a dose of 50μg/mouse. All tumours were measured daily for the duration of the experiment. Antibody treatment was initiated on D6 and administered again on D9 and D12. Area under the curve (AUC) was calculated from graphs in (k–m). The results shown are from one experiment, n = 4 per group. **P < 0.01; ***P < 0.001; ****P < 0.0001 (Two-Way ANOVA). Area under curve data- **P < 0.01; ***P < 0.001; ****P < 0.0001 (One-Way ANOVA).
Supplementary information
Supplementary Table 1
Summary of curated gene signatures constructed from various databases of gene signatures.
Rights and permissions
About this article
Cite this article
Dixon, K.O., Tabaka, M., Schramm, M.A. et al. TIM-3 restrains anti-tumour immunity by regulating inflammasome activation. Nature 595, 101–106 (2021). https://doi.org/10.1038/s41586-021-03626-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41586-021-03626-9
This article is cited by
-
Association of CD8+TILs co-expressing granzyme A and interferon-γ with colon cancer cells in the tumor microenvironment
BMC Cancer (2024)
-
Phenotypic and spatial heterogeneity of CD8+ tumour infiltrating lymphocytes
Molecular Cancer (2024)
-
Tumour-retained activated CCR7+ dendritic cells are heterogeneous and regulate local anti-tumour cytolytic activity
Nature Communications (2024)
-
T-cell immunity induced and reshaped by an anti-HPV immuno-oncotherapeutic lentiviral vector
npj Vaccines (2024)
-
Mechanisms of immune checkpoint inhibitors: insights into the regulation of circular RNAS involved in cancer hallmarks
Cell Death & Disease (2024)
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.