Abstract
Identification of immune effectors and the post-translational modifications that control their activity is essential for dissecting mechanisms of immunity. Here we demonstrate that the antiviral activity of interferon-induced transmembrane protein 3 (IFITM3) is post-translationally regulated by S-palmitoylation. Large-scale profiling of palmitoylated proteins in a dendritic cell line using a chemical reporter strategy revealed over 150 lipid-modified proteins with diverse cellular functions, including innate immunity. We discovered that S-palmitoylation of IFITM3 on membrane-proximal cysteines controls its clustering in membrane compartments and its antiviral activity against influenza virus. The sites of S-palmitoylation are highly conserved among the IFITM family of proteins in vertebrates, which suggests that S-palmitoylation of these immune effectors may be an ancient post-translational modification that is crucial for host resistance to viral infections. The S-palmitoylation and clustering of IFITM3 will be important for elucidating its mechanism of action and for the design of antiviral therapeutics.
Vertebrates have evolved sophisticated innate and adaptive mechanisms of immunity to combat microbial pathogens1. In response, viruses and pathogenic bacteria have acquired virulence factors that subvert or disarm host defenses1. For example, cellular membranes provide a simple barrier to infection, but viruses such as influenza virus have evolved specific proteins that fuse with membranes to allow viral replication inside host cells2. Alternatively, intracellular bacterial pathogens are taken up by phagocytic cells, but they then remodel cellular membranes to prevent their own degradation inside lysosomal compartments3. Cellular membranes are key interfaces for host resistance and prime targets for microbial virulence factors. We therefore performed large-scale profiling of palmitoylated proteins in phagocytic cells to identify membrane-associated proteins that contribute to immunity against microbial pathogens. We found that S-palmitoylation of interferon-induced transmembrane protein 3 (IFITM3) enhances its clustering in membranes and antiviral activity against influenza virus. Our results demonstrate that large-scale proteomic studies using chemical reporters of post-translational modifications can reveal unique regulatory mechanisms required for cellular resistance to infection.
Protein S-palmitoylation is a covalent fatty acid modification on cysteine residues that is essential for the proper targeting and function of many membrane-associated proteins4. Chemical methods with greater sensitivity than classical radiographic techniques have revealed new roles for palmitoylation5. Fatty acid analogs functionalized with azides or alkynes, termed chemical reporters, have enabled sensitive fluorescent detection and large-scale proteomic analysis of fatty-acylated proteins using bioorthogonal ligation methods, such as Cu(I)-catalyzed [3 + 2] azide-alkyne cycloaddition (CuAAC) (Fig. 1a)5. Fatty acid chemical reporters6,7 and acyl-biotin exchange methods8–11 have revealed a greater diversity of S-palmitoylated proteins in eukaryotic proteomes than was previously appreciated and suggest that many cellular pathways are regulated by protein S-palmitoylation. However, the palmitoylomes of phagocytic cells such as dendritic cells (DCs) have not been evaluated. DCs sense pathogen-associated molecular patterns, upregulate immunomodulatory genes and secrete cytokines to activate innate immune responses12. Furthermore, DCs are so-called professional antigen-presenting cells with unique abilities to phagocytose, process and present antigens to T cells13. The DC palmitoylome is therefore likely to include membrane-associated factors involved in innate or adaptive immunity to microbes.
RESULTS
Proteomic analysis of palmitoylated proteins in DC2.4 cells
To identify lipid-modified and membrane-associated proteins that may contribute to immune responses to microbial infections, we performed large-scale profiling of fatty-acylated proteins in the mouse DC line DC2.4 (ref. 14) using the palmitic acid chemical reporter alk-16 (ref. 7) and CuAAC (Fig. 1a). Alk-16 preferentially targets S-palmitoylated proteins6,7, whereas shorter alkynyl fatty acids selectively label N-myristoylated proteins7. In-gel fluorescence profiling of DC2.4 cell lysates reacted with an azide-functionalized fluorophore (az-rho, Supplementary Fig. 1a)7 demonstrated that a diverse repertoire of proteins are metabolically labeled by alk-16 (Fig. 1b). Cell lysates were then reacted with an azido-biotin cleavable affinity tag (az-diazo-biotin, Supplementary Fig. 1b)15 for enrichment of alk-16–labeled proteins with streptavidin beads, selective elution and gel-based proteomic identification by mass spectrometry (Supplementary Fig. 1c). Coomassie blue staining of proteins retrieved with streptavidin beads and sodium dithionite elution demonstrates the specificity of alk-16 and CuAAC labeling methods (Supplementary Fig. 1d). Proteins identified in three independent experimental runs (Supplementary Fig. 1d) were compiled and categorized into high- and medium-confidence lists on the basis of the number of assigned spectra, the fold increase above control samples and the number of experiments in which the protein was identified (Supplementary Tables 1 and 2). We selectively identified 157 proteins by alk-16 labeling as compared to control samples (Fig. 1c), with 60 and 97 proteins assigned to high- and medium-confidence lists, respectively (Supplementary Tables 1 and 2). Of these proteins, 52% of high- and 31% of medium-confidence hits have been reported using large-scale proteomic techniques with acyl-biotin exchange chemistry or chemical reporters in other cell types (Supplementary Tables 1 and 2)6,9,10. These proteins include calnexin, G protein subunits, transferrin receptor, N-ras, Lyn and CD9 (Fig. 1c and Supplementary Tables 1 and 2). Western blot analysis of alk-16–labeled and enriched DC2.4 cell lysates confirmed robust and specific recovery of calnexin (Supplementary Fig. 1e), the S-palmitoylated protein with the most alk-16 peptide spectral counts compared to control samples (Fig. 1c). Notably, IFITM3 (ref. 16) was among the candidate S-palmitoylated proteins associated with cellular responses to microbial infections (Fig. 1c).
IFITM3 S-palmitoylation on membrane-proximal residues
Palmitoylation of IFITM3 was investigated further to confirm the high-confidence recovery of IFITM3 by alk-16 proteomics and to explore the potential role of palmitoylation in innate immunity. (Fig. 1c). IFITM3 is a predicted dual-pass transmembrane protein with four homologs, IFITM1, IFITM2, IFITM5 and IFITM6. These proteins range from 11 to 16 kDa, and homologs are present in diverse vertebrates ranging from humans to zebrafish. IFITM3 is commonly used as a marker for developing germ cells17, though its functional role is unclear18. Interaction of IFITM3 with the tetraspanins CD9 and CD81 was demonstrated in B cells, suggesting that this protein localizes to tetraspanin-enriched microdomains19. In addition to appearing in B cells, IFITM3 is also constitutively expressed in bone marrow, macrophages and some non-immune cells19. The IFITM3 promoter contains interferon-stimulated response elements that control its upregulation upon exposure to the antiviral cytokine interferon (IFN)-α20,21. Indeed, IFITM3 transcripts can be readily detected in unstimulated DC2.4 cells and are upregulated upon IFN-α activation (Fig. 2a). These results are consistent with our proteomic data suggesting that IFITM3 is expressed at basal levels in DC2.4 cells without additional stimulation (Fig. 1c). A report of IFITM1 antiviral activity against vesicular stomatitis virus suggested the IFITM protein family plays a role in cellular resistance to viral infections22. Notably, small interfering RNA–based screens of host factors involved in H1N1 influenza virus infection identified IFITM3 as a potent inhibitor of early influenza virus replication as well as of dengue and West Nile viruses16. The S-palmitoylation of IFITM3 and its potential roles in cellular resistance to virus infection have not been investigated.
IFITM3 amino acid sequence analysis indicates three transmembrane domain–proximal cysteine residues at positions 71, 72 and 105 as potential sites of S-palmitoylation (Fig. 2b). The membrane topology of IFITM3 depicted in Figure 2b is consistent with antibody staining of tagged N and C termini in nonpermeabilized cells16 as well as staining of the cytoplasmic domain in permeabilized cells19. Alk-16 labeling of HeLa cells transfected with hemagglutinin epitope (HA)–tagged IFITM3 followed by anti-HA immunoprecipitation, CuAAC with az-rho and in-gel fluorescence scanning indicated that IFITM3 is indeed fatty acylated (Fig. 2c). To hydrolyze alk-16–protein thioesters, half of the immunoprecipitated material was treated with neutral hydroxylamine (NH2OH). The resulting decrease in signal is consistent with S-palmitoylation of IFITM3 (Fig. 2c). The three cysteines present in IFITM3 were mutated singly or in combination to alanine and evaluated for alk-16 labeling. Mutation of cysteines 71 and 72 reduces alk-16 labeling, but dual mutation does not result in complete loss of palmitoylation (Fig. 2d). The Cys105 mutant also shows decreased alk-16 labeling, which is completely lost in the C71A C72A C105A triple mutant (palmΔ) (Fig. 2d). Bioinformatic analysis of available IFITM protein sequences revealed that the S-palmitoylated cysteine residues are present in most vertebrates including humans and zebrafish (Supplementary Fig. 2a). In fact, alk-16 labeling of human IFITM1, IFITM2 and IFITM3 suggests S-palmitoylation occurs on all three of these IFITM isoforms (Supplementary Fig. 2b). These results confirmed our alk-16 proteomic data from DC2.4 cells and demonstrated that IFITM3 is S-palmitoylated at three membrane-proximal cysteine residues.
S-palmitoylation controls clustering of IFITM3
We investigated the influence of S-palmitoylation on IFITM3 expression and distribution in HeLa cells. Immunofluorescence analysis revealed that IFITM3 is distributed into punctate clusters (Fig. 3a), whereas IFITM3-palmΔ showed more diffuse staining (Fig. 3a). Costaining of HA-IFITM3–transfected cells with other cellular markers suggests that IFITM3 localizes to the endoplasmic reticulum (ER) and is excluded from lysosomes, as shown by calreticulin and LAMP-1 staining, respectively (Fig. 3b). IFITM3 was also absent from early endosomes (EEA1 staining), Golgi (golgin-97 staining) and cholesterol-rich membranes (cholera toxin B staining) (Supplementary Fig. 3a). As IFITM3 has been shown to interact with the tetraspanin CD9 (ref. 19), we evaluated the distribution of HA-IFITM3 in cells expressing GFP-CD9 (Fig. 3b). IFITM3 partially colocalized with GFP-CD9 (Fig. 3b), another S-palmitoylated transmembrane protein (Supplementary Fig. 4a), in membrane compartments that are largely devoid of LAMP-1 staining (Supplementary Fig. 4b). Although IFITM3-palmΔ has a more diffuse staining pattern (Fig. 3a), in colocalization studies the lack of palmitoylation did not appear to grossly alter its cellular distribution in the ER or other cellular organelles (Supplementary Fig. 5). This suggests that palmitoylation controls clustering of IFITM3 in membranes rather than its trafficking to distinct cellular compartments. In summary, both IFITM3 and IFITM3-palmΔ primarily localize to the ER, where their clustering is controlled by S-palmitoylation.
S-palmitoylation regulates IFITM3 antiviral activity
We then determined whether S-palmitoylation was essential for IFITM3 antiviral activity toward influenza virus (H1N1, PR8 strain). Interestingly, infection experiments with pseudotyped viral particles previously demonstrated that the inhibitory activity of IFITM3 is specific to viral envelope glycoproteins, suggesting IFITM3 inhibits viral entry or internalization16. We therefore focused on early stages of influenza virus infection. HeLa cells transfected with HA-IFITM3 showed lower levels of influenza viral nucleoprotein (NP) mRNA expression 6 h after infection compared to vector-transfected cells, as measured by qRT-PCR (Fig. 4a). In contrast, viral NP production was mostly unaffected in cells transfected with HA-IFITM3-palmΔ (Fig. 4a), even though wild-type and palmitoylation-defective IFITM3 constructs were expressed at similar levels (Fig. 4a). To confirm these results, we evaluated influenza virus infection of cells by flow cytometry, measuring the protein levels of both HA-IFITM3 and influenza virus NP. Similar to the qRT-PCR results, cells expressing HA-IFITM3 had limited viral NP production 6 h after infection with influenza virus, whereas HA-IFITM3-palmΔ expression afforded comparable amounts of viral NP levels (upper right quadrant of flow cytometry plots) compared to control and non-transfected cells in the same cell culture (Fig. 4b and Supplementary Fig. 6). The observed antiviral activity of IFITM3 upon overexpression in mammalian cells against influenza virus is comparable to the previously reported decrease in viral HA, M2 and NP and is consistent with the cell-autonomous activity of IFITM proteins that was observed using small interfering RNA knockdown or deletion of IFITM3 (ref. 16). The antiviral activity of IFITM3 was also not a general effect of S-palmitoylated membrane protein overexpression, as transfection of cells with the tetraspanin CD9 had no significant influence on influenza virus replication compared to controls (Fig. 4b). The S-palmitoylation–dependent antiviral activity of IFITM3 was also observed at higher multiplicity of infection with influenza virus (Supplementary Fig. 7).
We also evaluated S-palmitoylation–dependent IFITM3 antiviral activity in HEK293T cells that are more susceptible to influenza virus infection. In accord with our data in HeLa cells (Fig. 4a,b), HEK293T cells expressing HA-IFITM3 (high) inhibited the influenza virus infection compared to non-transfected cells (low) as judged by flow cytometry analysis of influenza NP expression (Supplementary Fig. 8 and Fig. 4c). This antiviral activity was markedly diminished with the S-palmitoylation–deficient HA-IFITM3 construct and not observed for GFP-CD9 (Supplementary Fig. 8 and Fig. 4c). Similar results were also observed using antibody staining to the NS1 protein, another protein produced by influenza virus (Fig. 4c). Replicate experiments demonstrate that HA-IFITM3 expression in HeLa and HEK293T cells inhibits influenza virus infection approximately two-fold compared to non-transfected cells (Fig. 4c). These results are comparable to the two- to fivefold antiviral activity previously observed using A549 cells transduced with retroviral constructs expressing human IFITM isoforms16. The quantitative differences between our data and those published for A549 cells may be due to mouse and human IFITM isoform differences, location of epitope tags, analysis of different viral proteins, methods of overexpression and/or cell type analyzed. Nonetheless, our data demonstrate that mammalian cells expressing higher levels of IFITM3 are more resistant to influenza infection (Fig. 4). This antiviral activity of IFITM3 is dependent on S-palmitoylation, as mutation of modified cysteine residues to alanine abrogates more than 75% of this inhibitory activity (Fig. 4d). Overall, these results indicate that S-palmitoylation of IFITM3 is crucial for its full activity against influenza virus infection.
DISCUSSION
Palmitoylome profiling has revealed a post-translational mechanism important for host defense against viral infections. We discovered that S-palmitoylation of membrane-proximal cysteines on IFITM3 enhances its clustering in membranes and is crucial for its inhibitory activity toward influenza virus infection. Notably, S-palmitoylation does not appear to influence the protein levels of IFITM3, as judged by western blot, immunofluorescence and flow cytometry analyses (Figs. 2–4). In contrast to other S-palmitoylated transmembrane proteins such as LRP6 (ref. 23) or the anthrax toxin receptor24, for IFITM3 S-palmitoylation does not appear to grossly regulate its stability or trafficking but rather induces a clustering effect similar to that observed for tetraspanins25.
As IFITM3 shows specificity toward viral envelope proteins16 that are often themselves S-palmitoylated26–28 and clustered for membrane fusion with host cells2, S-palmitoylation may therefore be required for a multivalent display of these IFN effectors to block the activity of viral envelope proteins such as influenza virus hemagglutinin. Cysteine residues homologous to the S-palmitoylated residues found in mouse IFITM3 are present in IFITM protein isoforms in most vertebrates from humans to zebrafish, suggesting an evolutionarily conserved function for protein S-palmitoylation in innate immunity against microbial pathogens. In contrast to the phenomenon of viruses co-opting host palmitoylation machinery for infection26–28, S-palmitoylation of an IFN effector, IFITM3, restricts viral infection of host cells. Specific protein lipidation pathways may therefore be prime targets of microbial immune evasion strategies. The identification of S-palmitoylation–dependent IFITM3 clustering and antiviral activity should help elucidate the mechanism by which this family of IFN effectors inhibits virus replication and thus aid in the design of therapeutics targeted at pathogens such as influenza virus.
METHODS
Cells, virus infections, transfections and flow cytometry
HeLa, HEK293T and DC2.4 cells were grown in DMEM with 10% (v/v) FBS. Cells were transfected using Lipofectamine 2000 (Invitrogen). Influenza A virus A/PR/8/34 (H1N1) was propagated in 9-d embryonated chicken eggs and titrated using MDCK cells. For flow cytometry, cells were fixed with PBS and 3.7% (w/v) paraformaldehyde, permeabilized with PBS and 0.2% (w/v) saponin and blocked with PBS and 2% (v/v) FBS. Cells were then incubated with anti-HA antibody (1/1,000, 16B12, Covance), washed three times and stained with goat anti-mouse antibody conjugated to Alexa-488 (1/1,000, Invitrogen). Viral protein was stained using mouse monoclonal antibodies against viral NP (clone HT103)29 directly conjugated to Alexa-568 or a mouse monoclonal antibody against viral NS1 (clone 1a7 (ref. 30), provided by J. Yewdell, US National Institutes of Health) conjugated to Alexa-647. Results were analyzed with FlowJo software.
Metabolic labeling, immunoprecipitations and CuACC
Metabolic labeling of DC2.4 or HeLa cells with alk-16 or DMSO control was performed in DMEM and 2% (v/v) charcoal-filtered FBS. Chemical syntheses of alk-16 (ref. 7), az-rho7 and az-diazo-biotin15 have been reported previously. Alk-16–labeled cells were lysed with 0.1 mM triethanolamine (TEA) buffer containing 1% (w/v) Brij97 and Complete EDTA-free protease inhibitor cocktail at 5× concentration (Roche). We diluted 50 μg of protein from the alk-16–labeled and DMSO-treated samples to 34.5 μl with TEA and 1% (w/v) Brij 97 buffer. We added 10 μl 10% (w/v) SDS in H2O as well as CuAAC reactants including 1 μl of 5 mM az-rho (100 μM final concentration), 1 μl of freshly prepared 50 mM tris(2-carboxyethyl)phosphine hydrochloride (TCEP) (final concentration 1 mM), 2.5 μl 2 mM tris[(1-benzyl-1H-1,2,3-triazol-4-yl)methyl]amine (TBTA) (final concentration 100 μM) and 1 μl 50 mM CuSO4·5H2O (final concentration 1 mM), for a final volume of 50 μl. CuAAC reactions were allowed to proceed for 1 h at room temperature, and a chloroform-methanol precipitation was performed before SDS-PAGE. For immunoprecipitations, 400 μg of cell lysate was added to 15 μl of anti-HA antibody–conjugated agarose (Sigma) in a total volume of 150 μl and rocked at 4 °C for 1 h. Agarose was washed and resuspended in 44.5 μl 0.1 mM TEA and 4% (w/v) SDS, and CuAAC reactants were added as described above. In-gel fluorescence scanning was performed using a Typhoon 9400 imager (Amersham Biosciences). Western blots for HA-tagged proteins were performed using an anti–HA tag polyclonal rabbit antibody (1/1,000, 631207, Clontech).
For proteomic experiments, 5 mg of protein from DC2.4 cells were used. CuAAC reactants were added at the same concentrations as listed above except az-diazo-biotin was substituted for az-rho. Methanol-precipitated and washed protein pellets were resuspended in 1 ml of 0.1 mM TEA, 4% (w/v) SDS and 10 mM EDTA. Equal protein amounts were diluted 1/3 by volume with TEA and 1% (w/v) Brij97 buffer. We added 100 μl prewashed streptavidin agarose beads (Invitrogen) in TEA and 1% (w/v) Brij97 buffer to each sample. The protein and bead mixtures were incubated for 1 h at room temperature on a nutating mixer. The beads were then washed once with PBS and 0.2% (w/v) SDS, three times with PBS and twice with 250 mM ammonium bicarbonate (ABC). Beads were resuspended in 500 μl 8 M urea, and we added 25 μl 200 mM TCEP and 25 μl 400 mM iodoacetamide for capping of reactive cysteine residues. After 30 min, beads were washed twice with 250 mM ABC. Two elutions of proteins from beads were then performed using 250 μl of 25 mM sodium dithionite in 250 mM ABC containing 0.1% (w/v) SDS. Protein was concentrated using a YM-10 Centricon (Millipore). Samples were then subjected to SDS-PAGE and staining with Coomassie blue. DMSO and alk-16 lanes of the gel were then cut for trypsin digestion and peptide extraction. Extracted peptides were dried and resuspended in H2O and 0.1% (v/v) trifluoroacetic acid for mass spectrometry.
LC-MS analysis
LC-MS analysis was performed with a Dionex 3000 nano-HPLC coupled to an LTQ-Orbitrap ion trap mass spectrometer (ThermoFisher). Peptides were pressure-loaded onto a custom-made 75-μm–diameter, 15-cm C18 reverse-phase column and separated with a gradient running from 95% buffer A (HPLC water with 0.1% (v/v) formic acid) and 5% buffer B (HPLC-grade CH3CN with 0.1% (v/v) formic acid) to 55% B over 30 min, next ramping to 95% B over 10 min and holding at 95% (v/v) B for 10 min. One full MS scan (300–2000 MW) was followed by three data-dependent scans of the nth most intense ions with dynamic exclusion enabled. Peptides from three independent experiments were identified using SEQUEST version 28 and were searched against the mouse International Protein Index (IPI) protein sequence database v3.45. Scaffold software (Proteome Software) was used to compile data from the three experimental runs.
Microscopy
For determination of IFITM3 localization, transfected HeLa cells were fixed with 3.7% (w/v) paraformaldehyde, permeabilized with 0.2% (w/v) saponin or 1% (v/v) Tween and blocked with 2% (v/v) FBS in PBS. Cells were incubated with individual antibodies for 30 min in sequence starting with mouse anti-HA (1/1,000, 16B12, Covance), then goat anti-mouse antibodies conjugated to rhodamine red (1/1,000, Invitrogen), then rabbit antibodies against specific cellular markers or cholera toxin B conjugated to Alexa-488 (Invitrogen) followed by secondary goat anti-rabbit antibodies conjugated to Alexa-488 (1/1,000, Invitrogen). All antibodies were diluted in PBS and 0.2% (w/v) saponin, except for cholera toxin B staining in which PBS and 1% (v/v) Tween 20 was used in all steps. Antibodies against calreticulin (1/500, ab2907, Abcam), LAMP1 (1/500, ab24170, Abcam), EEA1 (1/100, 2411, Cell Signaling) and golgin-97 (1/100, ab33701, Abcam) were used. Cells were incubated with TOPRO-3 (1/1,000, Invitrogen) as a final step.
Cloning, quantitative PCR and topology diagram
IFITM3 and CD9 DNA sequences were amplified by PCR using cDNA prepared from DC2.4 RNA. PCR primers for IFITM3 and CD9 as well as mutagenesis primers for IFITM3 are listed in Supplementary Table 3. DC2.4 cells were treated with 500 ng ml−1 IFN-α2 (eBioscience) for 4 h to determine its effect on IFITM3 expression. Reverse transcription and quantitative PCR were performed using a previously described protocol31,32. Primers used for quantitative PCR can be found in Supplementary Table 4. The topology diagram of IFITM3 found in Figure 2b was drawn using TOPO2 transmembrane protein display software (http://www.sacs.ucsf.edu/TOPO2/).
Supplementary Material
Acknowledgments
J.S.Y. is a postdoctoral fellow of the Irving Institute Fellowship Program of the Cancer Research Institute. Y.-Y.Y. was supported in part by the Anderson Cancer Center postdoctoral fellowship. G.C. acknowledges the Weill-Cornell/Rockefeller/Sloan-Kettering Tri-institutional Program in Chemical Biology. The authors would like to thank A. Li for technical support. T.M.M. is supported by grant AI041111 and C.B.L. is supported by grant AI083284-01, both from the US National Institute of Allergy and Infectious Diseases of the US National Institutes of Health. H.C.H. acknowledges support from The Rockefeller University, Ellison Medical Foundation, Irma T. Hirschl and Monique Weill-Caulier Trust, Lerner Trust and the US National Institute of Drug Abuse of the US National Institutes of Health (1R21DA025751-01).
Footnotes
Author contributions
J.S.Y. conceived the study, designed and performed experiments, interpreted data and co-wrote the manuscript; Y.-Y.Y. and G.C. synthesized reagents for palmitoylome profiling studies; B.M., C.B.L. and T.M.M. provided reagents and expertise on influenza virus infections; H.C.H. conceived the study, designed experiments, interpreted data and co-wrote the manuscript.
Competing financial interests
The authors declare no competing financial interests.
Additional information
Supplementary information is available online at http://www.nature.com/naturechemicalbiology/. Reprints and permissions information is available online at http://npg.nature.com/reprintsandpermissions/.
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