Dominant-activating germline mutations in the gene encoding the PI(3)K catalytic subunit p110δ result in T cell senescence and human immunodeficiency (original) (raw)
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References
- Okkenhaug, K. & Vanhaesebroeck, B. PI3K in lymphocyte development, differentiation and activation. Nat. Rev. Immunol. 3, 317–330 (2003).
Article CAS PubMed Google Scholar - Hemmings, B.A. & Restuccia, D.F. PI3K-PKB/Akt pathway. Cold Spring Harb. Perspect. Biol. 4, a011189 (2012).
Article PubMed PubMed Central CAS Google Scholar - Chantry, D. et al. p110δ, a novel phosphatidylinositol 3-kinase catalytic subunit that associates with p85 and is expressed predominantly in leukocytes. J. Biol. Chem. 272, 19236–19241 (1997).
Article CAS PubMed Google Scholar - Vanhaesebroeck, B. et al. P110δ, a novel phosphoinositide 3-kinase in leukocytes. Proc. Natl. Acad. Sci. USA 94, 4330–4335 (1997).
Article CAS PubMed PubMed Central Google Scholar - Huang, C.H. et al. The structure of a human p110α/p85α complex elucidates the effects of oncogenic PI3Kα mutations. Science 318, 1744–1748 (2007).
Article CAS PubMed Google Scholar - Gubser, P.M. et al. Rapid effector function of memory CD8 T cells requires an immediate-early glycolytic switch. Nat. Immunol. 14, 1064–1072 (2013).
Article CAS PubMed Google Scholar - Xu, X., Ye, L., Araki, K. & Ahmed, R. mTOR, linking metabolism and immunity. Semin. Immunol. 24, 429–435 (2012).
Article CAS PubMed Google Scholar - Yang, K. & Chi, H. mTOR and metabolic pathways in T cell quiescence and functional activation. Semin. Immunol. 24, 421–428 (2012).
Article CAS PubMed Google Scholar - Zinzalla, V., Stracka, D., Oppliger, W. & Hall, M.N. Activation of mTORC2 by association with the ribosome. Cell 144, 757–768 (2011).
Article CAS PubMed Google Scholar - Alessi, D.R. et al. Characterization of a 3-phosphoinositide-dependent protein kinase which phosphorylates and activates protein kinase Bα. Curr. Biol. 7, 261–269 (1997).
Article CAS PubMed Google Scholar - Sarbassov, D.D., Guertin, D.A., Ali, S.M. & Sabatini, D.M. Phosphorylation and regulation of Akt/PKB by the rictor-mTOR complex. Science 307, 1098–1101 (2005).
Article CAS PubMed Google Scholar - Kaech, S.M. & Cui, W. Transcriptional control of effector and memory CD8+ T cell differentiation. Nat. Rev. Immunol. 12, 749–761 (2012).
Article CAS PubMed PubMed Central Google Scholar - Finlay, D.K. et al. PDK1 regulation of mTOR and hypoxia-inducible factor 1 integrate metabolism and migration of CD8+ T cells. J. Exp. Med. 209, 2441–2453 (2012).
Article CAS PubMed PubMed Central Google Scholar - Fox, C.J., Hammerman, P.S. & Thompson, C.B. Fuel feeds function: energy metabolism and the T-cell response. Nat. Rev. Immunol. 5, 844–852 (2005).
Article CAS PubMed Google Scholar - Astle, M.V. et al. AKT induces senescence in human cells via mTORC1 and p53 in the absence of DNA damage: implications for targeting mTOR during malignancy. Oncogene 31, 1949–1962 (2012).
Article CAS PubMed Google Scholar - Kim, E.H. & Suresh, M. Role of PI3K/Akt signaling in memory CD8 T cell differentiation. Front. Immunol. 4, 20 (2013).
PubMed PubMed Central Google Scholar - Araki, K. et al. mTOR regulates memory CD8 T-cell differentiation. Nature 460, 108–112 (2009).
Article CAS PubMed PubMed Central Google Scholar - Kim, E.H. et al. Signal integration by Akt regulates CD8 T cell effector and memory differentiation. J. Immunol. 188, 4305–4314 (2012).
Article CAS PubMed Google Scholar - Sukumar, M. et al. Inhibiting glycolytic metabolism enhances CD8+ T cell memory and antitumor function. J. Clin. Invest. 123, 4479–4488 (2013).
Article CAS PubMed PubMed Central Google Scholar - Jarrett, A.F., Armstrong, A.A. & Alexander, E. Epidemiology of EBV and Hodgkin's lymphoma. Ann. Oncol. 7 (suppl. 4), 5–10 (1996).
Article PubMed Google Scholar - Berndt, A. et al. The p110 d structure: mechanisms for selectivity and potency of new PI(3)K inhibitors. Nat. Chem. Biol. 6, 117–124 (2010).
Article CAS PubMed PubMed Central Google Scholar - Bader, A.G., Kang, S., Zhao, L. & Vogt, P.K. Oncogenic PI3K deregulates transcription and translation. Nat. Rev. Cancer 5, 921–929 (2005).
Article CAS PubMed Google Scholar - Mandelker, D. et al. A frequent kinase domain mutation that changes the interaction between PI3Kα and the membrane. Proc. Natl. Acad. Sci. USA 106, 16996–17001 (2009).
Article CAS PubMed PubMed Central Google Scholar - Wu, H. et al. Regulation of Class IA PI 3-kinases: C2 domain-iSH2 domain contacts inhibit p85/p110α and are disrupted in oncogenic p85 mutants. Proc. Natl. Acad. Sci. USA 106, 20258–20263 (2009).
Article CAS PubMed PubMed Central Google Scholar - Zhao, L. & Vogt, P.K. Helical domain and kinase domain mutations in p110α of phosphatidylinositol 3-kinase induce gain of function by different mechanisms. Proc. Natl. Acad. Sci. USA 105, 2652–2657 (2008).
Article CAS PubMed PubMed Central Google Scholar - Jou, S.T. et al. Identification of variations in the human phosphoinositide 3-kinase p110δ gene in children with primary B-cell immunodeficiency of unknown aetiology. Int. J. Immunogenet. 33, 361–369 (2006).
Article CAS PubMed Google Scholar - Damgaard, R.B. et al. Disease-causing mutations in the XIAP BIR2 domain impair NOD2-dependent immune signalling. EMBO Mol. Med. 5, 1278–1295 (2013).
Article CAS PubMed PubMed Central Google Scholar - Li, F.Y. et al. Second messenger role for Mg2+ revealed by human T-cell immunodeficiency. Nature 475, 471–476 (2011).
Article CAS PubMed PubMed Central Google Scholar - Brenchley, J.M. et al. Expression of CD57 defines replicative senescence and antigen-induced apoptotic death of CD8+ T cells. Blood 101, 2711–2720 (2003).
Article CAS PubMed Google Scholar - Roux, P.P. et al. RAS/ERK signaling promotes site-specific ribosomal protein S6 phosphorylation via RSK and stimulates cap-dependent translation. J. Biol. Chem. 282, 14056–14064 (2007).
Article CAS PubMed Google Scholar - Okkenhaug, K. et al. Impaired B and T cell antigen receptor signaling in p110δ PI 3-kinase mutant mice. Science 297, 1031–1034 (2002).
CAS PubMed Google Scholar - Fruman, D.A. et al. Impaired B cell development and proliferation in absence of phosphoinositide 3-kinase p85α. Science 283, 393–397 (1999).
Article CAS PubMed Google Scholar - Suzuki, H. et al. Xid-like immunodeficiency in mice with disruption of the p85alpha subunit of phosphoinositide 3-kinase. Science 283, 390–392 (1999).
Article CAS PubMed Google Scholar - Conley, M.E. et al. Agammaglobulinemia and absent B lineage cells in a patient lacking the p85alpha subunit of PI3K. J. Exp. Med. 209, 463–470 (2012).
Article CAS PubMed PubMed Central Google Scholar - Suzuki, A. et al. T cell-specific loss of Pten leads to defects in central and peripheral tolerance. Immunity 14, 523–534 (2001).
Article CAS PubMed Google Scholar - Denley, A., Kang, S., Karst, U. & Vogt, P.K. Oncogenic signaling of class I PI3K isoforms. Oncogene 27, 2561–2574 (2008).
Article CAS PubMed Google Scholar - Zhao, L. & Vogt, P.K. Class I PI3K in oncogenic cellular transformation. Oncogene 27, 5486–5496 (2008).
Article CAS PubMed PubMed Central Google Scholar - Vivanco, I. & Sawyers, C.L. The phosphatidylinositol 3-kinase AKT pathway in human cancer. Nat. Rev. Cancer 2, 489–501 (2002).
Article CAS PubMed Google Scholar - Billottet, C. et al. A selective inhibitor of the p110 d isoform of PI 3-kinase inhibits AML cell proliferation and survival and increases the cytotoxic effects of VP16. Oncogene 25, 6648–6659 (2006).
Article CAS PubMed Google Scholar - Sinclair, L.V. et al. Phosphatidylinositol-3-OH kinase and nutrient-sensing mTOR pathways control T lymphocyte trafficking. Nat. Immunol. 9, 513–521 (2008).
Article CAS PubMed PubMed Central Google Scholar - Omori, S.A. et al. Regulation of class-switch recombination and plasma cell differentiation by phosphatidylinositol 3-kinase signaling. Immunity 25, 545–557 (2006).
Article CAS PubMed Google Scholar - Srinivasan, L. et al. PI3 kinase signals BCR-dependent mature B cell survival. Cell 139, 573–586 (2009).
Article CAS PubMed PubMed Central Google Scholar - Amzel, L.M. et al. Structural comparisons of class I phosphoinositide 3-kinases. Nat. Rev. Cancer 8, 665–669 (2008).
Article CAS PubMed PubMed Central Google Scholar - Yentrapalli, R. et al. The PI3K/Akt/mTOR pathway is implicated in the premature senescence of primary human endothelial cells exposed to chronic radiation. PLoS ONE 8, e70024 (2013)
Article CAS PubMed PubMed Central Google Scholar - Gourley, T.S., Wherry, E.J., Masopust, D. & Ahmed, R. Generation and maintenance of immunological memory. Semin. Immunol. 16, 323–333 (2004).
Article CAS PubMed Google Scholar - Faivre, S., Kroemer, G. & Raymond, E. Current development of mTOR inhibitors as anticancer agents. Nat. Rev. Drug Discov. 5, 671–688 (2006).
Article CAS PubMed Google Scholar - Lannutti, B.J. et al. CAL-101, a p110δ selective phosphatidylinositol-3-kinase inhibitor for the treatment of B-cell malignancies, inhibits PI3K signaling and cellular viability. Blood 117, 591–594 (2011).
Article CAS PubMed PubMed Central Google Scholar - Angulo, I. et al. Phosphoinositide 3-kinase δ gene mutation predisposes to respiratory infection and airway damage. Science doi:10.1126/science.1243292 (17 October 2013).
- Sievers, F. et al. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol. Syst. Biol. 7, 539 (2011).
Article PubMed PubMed Central Google Scholar - Palendira, U. et al. Molecular pathogenesis of EBV susceptibility in XLP as revealed by analysis of female carriers with heterozygous expression of SAP. PLoS Biol. 9, e1001187 (2011).
Article CAS PubMed PubMed Central Google Scholar - Avery, D.T. et al. B cell-intrinsic signaling through IL-21 receptor and STAT3 is required for establishing long-lived antibody responses in humans. J. Exp. Med. 207, 155–171 (2010).
Article CAS PubMed PubMed Central Google Scholar
Acknowledgements
We thank the referring physicians, as well as the patients and families. Supported by the Division of Intramural Research, National Institute of Allergy and Infectious Diseases, Clinical Center of the US National Institutes of Health (C.L.L., H.S.K., J.E.N., M.B., J.S., W.O., V.K.R., A.A., A.A.H., K.N.O., T.A.F., S.P., S.M.H., J.I.C., M.J.L., G.U.), the National Human Genome Research Institute of the US National Institutes of Health (F.Z., J.L.C., P.L.S.), the Frederick National Laboratory for Cancer Research of the US National Institutes of Health (HHSN261200800001E), the National Health and Medical Research Council of Australia (E.K.D., U.P., S.G.T.), Cancer Council NSW (S.G.T.), the Cancer Institute NSW (U.P.), the Research Foundation-Flanders, Belgium (L.M.) and the National Institute of General Medical Sciences (C.L.L. and R.Z.). The content of this publication does not necessarily reflect the views or policies of the US Department of Health and Human Services, nor does mention of trade names, commercial products or organizations imply endorsement by the US Government.
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Author notes
- Carrie L Lucas, Hye Sun Kuehn and Fang Zhao: These authors contributed equally to this work.
Authors and Affiliations
- Molecular Development of the Immune System Section, Laboratory of Immunology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
Carrie L Lucas, Matthew Biancalana, V Koneti Rao & Michael J Lenardo - Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
Hye Sun Kuehn, Julie E Niemela, Jennifer Stoddard & Thomas A Fleisher - Cell Signaling Section, Genetic Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA
Fang Zhao, Jennifer L Cannons & Pamela L Schwartzberg - Pritzker School of Medicine, The University of Chicago, Chicago, Illinois, USA
Fang Zhao - Immunology and Immunodeficiency Group, Immunology Program, Garvan Institute of Medical Research, Sydney, Australia
Elissa K Deenick, Umaimainthan Palendira, Danielle T Avery, Leen Moens & Stuart G Tangye - St. Vincent's Clinical School Faculty of Medicine, University of New South Wales, Sydney, Australia
Elissa K Deenick, Umaimainthan Palendira & Stuart G Tangye - Division of Monoclonal Antibodies, Laboratory of Cell Biology, Office of Biotechnology Products, Center for Drug Evaluation and Research, United States Food and Drug Administration, Bethesda, Maryland, USA
Weiming Ouyang & David M Frucht - Division of Allergy and Immunology, Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA
T Prescott Atkinson - Laboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
Anahita Agharahimi, Ashleigh A Hussey, Kenneth N Olivier, Steven M Holland & Gulbu Uzel - Laboratory of Clinical Infectious Diseases, Clinical Research Directorate–Clinical Monitoring Research Program, Science Applications International Corporation–Frederick, Frederick National Laboratory for Clinical Research, Frederick, Maryland, USA
Anahita Agharahimi - Radiology and Imaging and Sciences, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
Les R Folio - Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
Stefania Pittaluga - Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
Jeffrey I Cohen - Instituto de Medicina Integral Prof. Fernando Figueira, Recife-Pernambuco, Brazil
Joao B Oliveira
Authors
- Carrie L Lucas
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Contributions
C.L.L did experiments, analyzed data and developed and wrote the manuscript; H.S.K., F.Z., E.K.D., U.P., D.T.A., L.M. and J.L.C. did experiments and analyzed data; J.E.N. analyzed genomic DNA sequencing and bioinformatics, discovered candidate genes and analyzed protein structure; M.B. analyzed p110 structure; J.S. did experiments and analyzed genomic DNA sequencing and data; W.O. did experiments; D.M.F. supervised research and data analysis; V.K.R. evaluated patients and collected data; T.P.A. and J.I.C. provided patient access, clinical data, samples and advice; A.A. evaluated patients and collected and analyzed data; A.A.H. coordinated patient access, data collection and analysis; L.R.F. evaluated and prepared data from clinical imaging studies; K.N.O. evaluated patients and collected and analyzed data; T.A.F. supervised research and data analysis and provided advice; S.P. did histological and immunohistochemical analyses of patient samples; S.M.H. supervised research and data analysis and provided advice; J.B.O planned and supervised whole-exome sequencing experiments; S.G.T. planned and supervised experiments, analyzed data, provided advice and prepared the manuscript; P.L.S. planned and supervised experiments, analyzed data and provided advice; M.J.L. supervised research and data analysis, provided advice and prepared the manuscript; G.U. coordinated research efforts, supervised research work and data analysis, and prepared the manuscript; and all authors discussed and revised the manuscript.
Corresponding author
Correspondence toGulbu Uzel.
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The authors declare no competing financial interests.
Additional information
Note added in proof: Another study has now independently described a cohort of patients with the E1021K substitution of p110δ[48](/articles/ni.2771#ref-CR48 "Angulo, I. et al. Phosphoinositide 3-kinase δ gene mutation predisposes to respiratory infection and airway damage. Science doi:10.1126/science.1243292
(17 October 2013).").
Integrated supplementary information
Supplementary Figure 1 Lymphadenopathy, mitogen response, effector cells, and serum Ig assessment.
(a) Computerized Tomography (CT) images demonstrating lymphadenopathy (arrows) in patient F.II.1 and absence of spleen (removed surgically). (b) Three dimensional surface rendered image with cut plane at level of porta hepatis showing lymph node masses surrounding the portal vein and adjacent vasculature (darker red mass within white oval). (c) 3H-Thymidine incorporation in counts per minute (CPM) to assess proliferation of PBMCs after three days in response to the indicated stimulus. Each symbol represents an individual healthy control subject (Ctrl, n = 10) or patient (Pt, n = 10). Small horizontal lines indicate mean (± s.d.). *P < 0.0001, **P = 0.0002, ***P < 0.0001, ****P < 0.0001 (Mann-Whitney test). (d) Cumulative data for multiple healthy controls (Ctrl, n = 8) and patients (Pt, n = 9) showing % CCR7− negative cells among CD8+ T cells in the peripheral blood. Small horizontal lines indicate mean (± s.d.). *P < 0.0001 (unpaired _t_-test). (e) IgM (left) and IgA (right) serum concentrations as a function of the patient's age. Dotted lines indicate the upper and lower boundaries of the normal range from healthy subjects. Data are representative of ten independent experiments with one patient each (c), four independent experiments (d) or two to ten separate measurements over time for each of the nine indicated patients.
Supplementary Figure 2 Patient B cell defects.
(a) The proportion of total B cells (i.e., CD20+ cells) within the lymphocyte population of healthy controls (Ctrl, n = 6) compared to patients (Pt, n = 7). Small horizontal lines indicate mean (± s.d.). (b, c) Expression of (b) CD5 on transitional and naïve B cells and of (c) surface IgG and IgA on memory B cells from healthy controls (red histogram) and patients (blue histogram) was determined by flow cytometry. (d) CFSE-labeled naïve B cells were cultured with CD40L, CD40L+CpG, CD40L+anti-Ig or CD40L together with IL-4, IL-10, or IL-21 for 5 days before being assessed for dilution of the dye in healthy control (Ctrl, red) and patient (Pt, blue) samples. (e) Expression of AICDA mRNA was determined by quantitative PCR after stimulation of naïve B cells with the indicated stimulus. (f,g) Secretion of IgM, IgG, and IgA by stimulated naïve (f) and memory (g) B cells was determined by ELISA. Values for healthy controls (Ctrl) and patients (Pt) are given as mean ± sem of replicate cultures. *P = 0.03, **P = 0.005 (unpaired _t_-test). Data are representative of four independent experiments (b,c), two independent experiments (e), three independent experiments (f) or two independent experiments (g) or are from five independent experiments (a) or one experiment (d).
Supplementary Figure 4 Hyperphosphorylation of Akt and intact association of mutant p110δ with p85α.
(a) Quantification of band intensities for the immunoblot shown in Fig. 2d in which serum-starved, activated T cells were assessed for p110δ, Akt, p-Akt (S473), and β-tubulin in patients D.II.1, D.II.2, and E.1 compared to three healthy controls (Ctrl) with 10 min anti-CD3 stimulation (+) or not (−). Total Akt values were normalized to β-tubulin abundance, then the ratio of p-Akt (S473) to normalized Akt was graphed. Small horizontal lines indicate mean (± s.d.). *P = 0.0002, **P = 0.01, ***P = 0.008 (unpaired _t_-test). (b) Summary of p-Akt (S473) by flow cytometry comparing mean fluorescence intensity (MFI). Basal p-Akt (S473) in paired (i.e., cultured for the same duration) T cell blasts from healthy controls (Ctrl, n = 5) and patients (Pt, n = 5) (left) or induced p-Akt (S473) after 10 min stimulation with anti-CD3 in T cell blasts from Ctrl (n = 3) and Pt (n = 3) (right, with mean (± s.d.)) are shown. *P = 0.02 (paired _t_-test), **P = 0.03 (unpaired _t_-test). (c) Immunoblots for the indicated proteins using PBMC lysates from patients with mutant p110δ or healthy controls (Ctrl) after stimulation with beads coated with anti-CD3 and anti-CD28 for 10 min (+) or not (?). (d,e) Representative histograms (left) and cumulative MFI data (right) for flow cytometry staining for p-Akt (T308) in patient (Pt, n = 3) versus healthy control (Ctrl, n = 3) T cell blasts, gating on CD4+ or CD8+ cells. Small horizontal lines indicate mean (± s.d.). *P = 0.03 (unpaired _t_-test). (f) Quantification of band intensities for the immunoblot shown in Fig. 2e together with data from two additional independent experiments. Numbers indicate the relative ratio (WT set to 1.0) of p-Akt (S473) to total Akt normalized for Flag expression. Small horizontal lines indicate mean (± s.d.). *P = 0.05, **P = 0.009 (unpaired _t_-test). (g) Immunoblot for p-Akt (S473) and β-tubulin on lysates from the human H9 T cell line overexpressing WT or the indicated mutant p110δ. (h) Immunoprecipitates (IP) of empty vector (EV), wild-type (WT), or mutant p110δ fused to a Flag epitope in HEK293T cells overexpressing p85α were blotted with antibodies against p85α, the Flag epitope, β-actin or immunoglobulin heavy chain (IgH). Data are from one experiment with three patients (a) or three independent experiments (f) or are representative of three independent experiments (b,d,e), four independent experiments with one patient each (c) or two independent experiments (g,h).
Supplementary Figure 5 Patient CD8+ T cells are hyperactivated with characteristics of enhanced effector function.
(a) Cumulative data for MHC class I-peptide tetramer (Tet) stains for EBV lytic (Ctrl n = 4 and Pt n = 4) and EBV latent antigens (Ctrl n = 3 and Pt n = 3). (b) Flow cytometry of gated EBV lytic and latent antigen-specific CD8+ T cells, stained for CCR7 and CD45RA. The percent of total events is shown in quadrants. (c) CD38 expression on the populations identified in (a) for patient G.1 (blue) compared to those for a healthy control (Ctrl, red). (d) Cumulative data for intracellular IFN-γ production in CD8+ T cell blasts from healthy controls (Ctrl, n = 3) versus patients (Pt, n = 4). Small horizontal lines indicate mean (± s.d.). P = 0.09 (unpaired _t_-test). (e) Cumulative data for granzyme B expression in CD4+ or CD8+ T cell blasts stimulated with low-dose, immobilized anti-CD3. Small horizontal lines indicate mean (± s.d.). *P = 0.003, **P = 0.01 (unpaired _t_-test). (f) Total LAMP-1 levels in activated CD8+ T cells from patients A.1 and G.1 compared to healthy control (Ctrl). (g) Cytolysis of P815 targets by anti-CD3-mediated redirected lysis for the indicated patients (Pt, n = 4) and healthy controls (Ctrl, n = 4). (h) Composite data for % CD57+ CD8+ T cells in patient (Pt, n = 4) versus healthy control (Ctrl, n = 4) PBMCs. Small horizontal lines indicate mean (± s.d.). *P = 0.002 (unpaired _t_-test). Data are from three (latent) or four (lytic) independent experiments (a) or three independent experiments (h) or are representative of four independent experiments (b,c,g) or two independent experiments (d,e,f).
Supplementary Figure 6 Expression of PD-1 on CD3+ cells in peripheral blood.
PBMCs were gated on CD3+ cells and assessed for CD45RA versus PD-1 expression in indicated patients (Pt, n = 7) and healthy controls (Ctrl, n = 2 adult and n = 2 pediatric). Data are representative of four independent experiments.
Supplementary Figure 7 Normal expression of signaling molecules in patient T cell blasts.
(a) Immunoblots for PTEN, PKC , p110δ, p-Erk, total Erk, and β-tubulin in T cell lysates from patients E.1 and F.II.1 or healthy control (Ctrl) cells stimulated with anti-CD3 for the times indicated in minutes (min). (b) Immunoblot for the PH domain-containing ARF6, p27kip1, and β-tubulin in indicated patient (n = 5 samples) and healthy control (Ctrl, n = 5 samples) T cell blasts after 10-min stimulation with anti-CD3 (+) or not (−). Data are from one experiment with two (a) or five (b) different patient samples.
Supplementary Figure 8 Increased, glucose- and amino acid-dependent basal S6 phosphorylation and glucose uptake in patient T cell blasts.
(a) Cumulative flow cytometric analysis of mean fluorescence intensity (MFI) for stimulated and unstimulated, permeabilized patient (Pt) or healthy control (Ctrl) T cell blasts after staining for p-S6 (S235, S236). Paired healthy control and patient blasts (i.e., cultured for the same duration) are connected by a line. *P = 0.04 (paired _t_-test). (b) Data from the same experiment as that shown in Fig. 4c but where cells were first rested in PBS for 2 hr before flow cytometric analysis of p- S6 (S235, S236) in unstimulated T cell blasts from patients G.1, D.II.1, and D.II.2 compared to healthy controls (Ctrl). (c) Glucose uptake by flow cytometric analysis of 2-NBDG fluorescence (linear MFI) after a 20-minute incubation period in glucose-starved T cell blasts from healthy controls (Ctrl, n = 3) and patients (Pt, n = 3). Paired healthy control and patient blasts (i.e., cultured for the same duration) are connected by a line. *P = 0.03 (paired _t_-test). Data are from three independent experiments (a) or one experiment with three different patients (b) or are representative of five independent experiments (c).
Supplementary Figure 9 CT images comparing hepatosplenomegaly and lymphadenopathy in patient A.1 before and after treatment with rapamycin.
Coronal reformations at the level of the tracheal bifurcation reveal more severe hepatosplenomegaly, hilar and mediastinal adenopathy, and splaying of tracheal bifurcation before (a) compared to after (b) rapamycin treatment.
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Lucas, C., Kuehn, H., Zhao, F. et al. Dominant-activating germline mutations in the gene encoding the PI(3)K catalytic subunit p110δ result in T cell senescence and human immunodeficiency.Nat Immunol 15, 88–97 (2014). https://doi.org/10.1038/ni.2771
- Received: 20 September 2013
- Accepted: 21 October 2013
- Published: 28 October 2013
- Issue Date: January 2014
- DOI: https://doi.org/10.1038/ni.2771