IFN-γ-response mediator GBP-1 represses human cell proliferation by inhibiting the Hippo signaling transcription factor TEAD

Interferon-gamma (IFN-γ) is a pleiotropic cytokine that exerts important functions in inflammation, infectious diseases, and cancer. The large GTPase human guanylate-binding protein 1 (GBP-1) is among the most strongly IFN-γ-induced cellular proteins. Previously, it has been shown that GBP-1 mediates manifold cellular responses to IFN-γ including the inhibition of proliferation, spreading, migration, and invasion and through this exerts anti-tumorigenic activity. However, the mechanisms of GBP-1 anti-tumorigenic activities remain poorly understood. Here, we elucidated the molecular mechanism of the human GBP-1-mediated suppression of proliferation by demonstrating for the first time a cross-talk between the anti-tumorigenic IFN-γ and Hippo pathways. The α9-helix of GBP-1 was found to be sufficient to inhibit proliferation. Protein-binding and molecular modeling studies revealed that the α9-helix binds to the DNA-binding domain of the Hippo signaling transcription factor TEA domain protein (TEAD) mediated by the 376VDHLFQK382 sequence at the N-terminus of the GBP-1-α9-helix. Mutation of this sequence resulted in abrogation of both TEAD interaction and suppression of proliferation. Further on, the interaction caused inhibition of TEAD transcriptional activity associated with the down-regulation of TEAD-target genes. In agreement with these results, IFN-γ treatment of the cells also impaired TEAD activity, and this effect was abrogated by siRNA-mediated inhibition of GBP-1 expression. Altogether, this demonstrated that the α9-helix is the proliferation inhibitory domain of GBP-1, which acts independent of the GTPase activity through the inhibition of the Hippo transcription factor TEAD in mediating the anti-proliferative cell response to IFN-γ.

Introduction IFN-γ regulates many cellular processes including innate and acquired immune responses, host defense reactions, and exerts direct anti-tumorigenic effects [1,2]. The large GTPase human guanylatebinding protein 1 (GBP-1) is highly induced by IFN-γ and indicates activation of cells by this cytokine [3,4] in diseased tissues in inflammatory bowel diseases, colorectal carcinoma (CRC), and others [5][6][7][8][9]. In CRC, GBP-1 acts as a tumor suppressor and its expression is correlated with a prolonged 5-year cancer-related survival [8,10]. Functional analyses showed that GBP-1 is a cellular mediator of the anti-tumorigenic activities of IFN-γ. It mediates the inhibition of proliferation, spreading, migration, and invasion of both epithelial tumor cells and blood vessel endothelial cells, and reduces tumorigenicity of CRC tumor cells in experimental animal models [5,[11][12][13]. The structure of GBP-1 is divided into a large N-terminal globular (Glo) GTPase domain and a purely α-helical (Hel) domain containing the α-helices 7-13 and a C-terminal CAAX isoprenylation motif that regulates the membrane association of the protein [14,15]. At present, it is not known which mechanism is involved in the inhibition of cell proliferation.
In cancer research, the Hippo signaling pathway has attracted an increasing amount of attention as alterations have been detected in various cancers [16][17][18][19]. The Hippo pathway is regulated by the Yes-associated protein (YAP) and its paralogue transcriptional co-activator with PDZ-binding motif (TAZ) [17]. Depending on the phosphorylation status, YAP/TAZ can translocate into the nucleus, where they bind to the transcription factor TEA domain protein (TEAD) and activate the expression of genes that promote cell proliferation [17]. TEAD is involved in cancer by regulating the expression of cancer-associated [20] or prognostic genes [21,22]. Furthermore, inhibition of TEAD suppressed proliferation and oncogenic transformation in mouse embryos and mouse NIH3T3 and human HEK293 cells [17]. As yet, the interaction of anti-proliferative IFN-γ and cell growth-activating Hippo signaling has not been investigated.
Here, we investigated on the specific mechanisms responsible for the anti-proliferative effect of GBP-1. Our findings connect the anti-proliferative IFN-γ effects with the Hippo signaling pathway and showed that the α9-helix of GBP-1 is sufficient for this effect but does not modify other cellular responses to GBP-1. This may open new avenues for dissecting the complex cellular response to IFN-γ.

Materials and methods
Cells, plasmids, and transfections DLD1 (CCL-221) and HeLa (CCL-2) cells were purchased from ATCC. Cells were authenticated by the German Collection of Microorganisms and Cell Cultures (DSMZ) using nonaplex PCR DNA profiling of eight highly polymorphic sites of short tandem repeats [23]. DLD1 cells were cultured in RPMI 1640 (Gibco, Thermo Fischer Scientific) and HeLa cells in DMEM (Gibco, Thermo Fischer Scientific), both supplemented with 2 mM glutamine (PAA) and 10% (v/v) FBS (PAA). Cells were maintained at 37°C with 5% (DLD1) or 8.5% (HeLa) CO 2 and 95% humidity. Cells were routinely tested for the absence of mycoplasma contamination using the MycoAlert mycoplasma detection kit (Lonza).
DLD1 cells were transfected with the pMCV2.2 plasmids (stable cell lines) or pMCV1.4 plasmids (transient transfections) using PolyFect (Qiagen) according to the manufacturer's protocol. For the generation of stable DLD1 cell lines, transfected cells were selected by the addition of G418 (500 mg/ml, PAA). HeLa cells were transfected using the calcium phosphate method [24]. Endogenous GBP-1 expression in HeLa cells was induced by treatment with human recombinant IFN-γ (Roche) in the indicated concentrations. For all experiments, cells were harvested at 80% confluence.

5-Ethynyl-2 0 -deoxyuridine incorporation assay and automatic image analysis
For these analyses, 1.5 × 10 4 DLD1 cells per chamber were seeded in 1.5% gelatin-coated four-chamber culture slides (Falcon, BD Biosciences) and were transiently transfected 24 h later. Forty-eight hours after transfection, 5-ethynyl-2 0 -deoxyuridine (EdU, 10 mM) was added to the cells for 3 h. Cells with active DNA synthesis were detected using the Click-iT ™ Plus EdU Alexa Fluor ™ 555 Imaging Kit (Thermo Fisher Scientific, C10638) according to the manufacturer's protocol. Ectopically expressed proteins were detected using a rabbit-α-Flag antibody (Abcam, catalog ABR-01098, 1 : 500) and AlexaFluor488-conjugated goat-α-rabbit IgG secondary antibody (Thermo Fisher Scientific, A11034, 1 : 500). The slides were mounted using Roti-Mount Fluor Care Dapi (Roth). Images were acquired in an automatic process using an AxioScanZ1 (Zeiss). DAPI images were preprocessed with a difference of Gaussian (DoG) filter consisting of a first Gaussian filter with lower sigma to remove background artifacts and a second Gaussian filter with a higher sigma to remove image noise. The regions showing nuclei were delineated from the background by adaptive thresholding with a k-means clustering algorithm on the preprocessed image [25]. The source image and the result image of the thresholding step were subjected to the hybrid watershed algorithm to delineate single possible nuclei regions [26]. As a postprocessing step, the average intensity of these regions was calculated, and only regions showing a minimum average intensity I DAPI were regarded as nuclei ( Figure 1B). The Flag images were preprocessed identically using the resulting image of the thresholding step and the positions of the previously segmented nuclei from the Dapi channel as input. For the nuclear EdU marker, the positions of the nuclei regions were used. Identified regions were post-processed with the minimum intensity threshold as presented for the nuclei. Proliferation rates represent the ratio between transfected proliferating cells and total transfected cells in all conditions except in control-transfected cells, where the ratio of total proliferating cells to total cells was calculated.

Cell counting proliferation assay
Transiently transfected DLD1 cells were seeded in triplicates for each condition (3 × 10 4 cells/well) in six-well plates and transfected 24 h later. Four days after transfection, total cell numbers per well were determined using the Coulter-Counter Z2 (Beckman). Each stably transfected single-cell-derived line was seeded in triplicates (3 × 10 3 cells/well) in 24-well plates, and total cell numbers were determined 7 days later. In both cases, the medium was renewed every 2 days.

Spreading assay
The assay was performed in fibronectin-coated 96-well plates as previously described [13] using 8 × 10 3 DLD1 cells per well. Surface areas of the cells were measured 20 min after seeding using Image J. The experiment was performed once using triplicates of two DLD1-GBP-1 clones, two DLD1-α9 clones, the DLD1-CV clone and untransfected DLD1 cells. Cells possessing an area above and below 120 mm 2 were classified.
Luciferase activity assay DLD1, DLD1-CV or DLD1-GBP1 (#1-3) cells were seeded in triplicates in a 12-well plate. DLD1 cells were transfected 24 h later with a mixture of TEAD-dependent luciferase reporter and pRenilla (Promega) using PolyFect. HeLa cells were seeded in a 12-well plate in duplicates for each condition. RNA silencing was performed by reverse transfection using Lipofectamine™ RNAiMAX in OptiMEM medium (both Thermo Fischer Scientific) when indicated. The following small interfering RNAs (siRNA) were used: GBP-1 Stealth Select RNAi™ siRNA (HSS104020) and Stealth RNAi™ Negative Control Duplexes (Medium GC) (Thermo Fischer Scientific) at a final concentration of 8 nM. The medium was renewed 24 h later, and 10 U/ml IFN-γ was added or not as indicated, followed by transfection of the TEAD-dependent luciferase reporter, a YAP expression plasmid ( pEGFP-YAP, Addgene) [29] and pRenilla (Promega) using the calcium phosphate method. The DLD1 and HeLa cells reached 70% confluency 30 h after transfection. Cells were lysed, and luciferase activity was measured using a dual-luciferase reporter assay system (#E1960; Promega) following the manufacturer's instructions. The transfection efficiency was normalized to the thymidine kinase promoter-driven Renilla luciferase activity as an internal control.

RNA isolation and RT-qPCR
RNA was isolated using the RNeasy Mini Kit (Qiagen). Subsequently, DNA was removed by RNase-free DNase (Ambion) treatment, and RNA yield was determined using a Nanodrop 2000c (PeqLab, VWR). In all cases, the standard protocols of the manufacturer were followed.
RT-qPCR primers and 5 0 -FAM-3 0 -TAMRA-labeled probes were designed and checked for specificity using PrimerBlast (NCBI). RT-qPCR (TaqMan) was performed as described recently [10]. Briefly, the absence of residual DNA was confirmed by DNA-specific primers for the progestagen-associated endometrial protein (PAEP) gene. All samples were normalized using RPL37A (mean of triplicates) as a reference gene. Subsequently, the ΔΔCT method (ΔCt Ctrl. − ΔCt GBP-1 ) was used for the calculation of the respective fold changes (2 ÀDDC t ) for each target gene. Measurements were performed two times, each in triplicates.
The primers and probes were purchased from Eurogentec. The DNA primer/probe sequences were as follows: paep (gene ID 5047): forward CACAGAATGGACGCCATGAC, probe AGCCCTCAGCCCTGCTCTCCATC, reverse AAACCAGAGAGGCCACCCTAA; the RNA primer/probe sequences were as follows: rpl37a

Yeast two-hybrid screening
Yeast two-hybrid (Y2H) assays were performed in the yeast L-40 strain. The sequence of GBP-1-α9 (residues 376-424) was cloned into the bait vector pBTM116. This bait was then screened against a mouse embryonic day E9.5-E10.5 library in pVP16 as described previously [30]. A total of 71 clones were picked and tested for growth in medium without histidine. The strong positive candidates were selected for DNA isolation and analyzed by sequencing.

Computer-assisted molecular docking
Docking was performed with the program GRAMM-X [31] using the known structures of GBP-1 (PDB: 1DG3) [15] and of the DNA-binding domain of TEAD1 (PDB: 2HZD) [32] as the input. Based on the experimental data, GBP-1-α9 (residues 376-424) was defined as the interaction site, whereas no restraints were made on the binding mode of TEAD1. The 10 top scoring docking solutions were further analyzed and visualized using RasMol [33].

Statistical analyses
Data are presented as the mean ± SD. Statistical differences were calculated by the unpaired two-tailed t-test (luciferase, qPCR, and immunoprecipitation) or ANOVA (SPSS) for multiple groups followed by a post hoc analysis (Tukey with Levene's test P > 0.05). P-values <0.05 were considered statistically significant (*P < 0.05, **P < 0.01, ***P < 0.001). All studies were conducted in triplicates and repeated at least three times independently if not stated otherwise.

Results
The α9-helix of GBP-1 is sufficient to inhibit cell proliferation Previously, the helical domain (Hel) of GBP-1 was shown to inhibit proliferation of endothelial cells, while the globular domain (Glo) was unnecessary for this effect [5]. To translate this finding to colorectal cancer cells, we used DLD1 cells as a model system because they lack endogenous GBP-1 expression [1]. A transient transfection approach confirmed that the isolated helical domain inhibits proliferation of DLD1 cells ( Figure 1A).
To determine which of the seven α-helices forming the helical domain were responsible for the suppression of proliferation, Flag epitope-tagged GBP-1 fragments with different combinations of α-helices were expressed in DLD1 cells. The impact of the GBP-1 fragments on proliferation was examined at the single-cell level using computer-assisted image analyses of EdU staining ( proliferation marker, red) in cells expressing the recombinant proteins (green) (Figure 1B-E). Cell proliferation rates (double-positive/green) were significantly reduced in cells expressing protein fragments containing the helix α9 (α7-9, α7-11 and α9-11) (Figure 1F, green). The inhibition obtained with these parts was comparable to the inhibition observed with the complete helical domain ( Figure 1F). In contrast, in cells expressing other parts of the helical domain (α12-13 or α10-13) or GFP, proliferation was not inhibited and was similar to that of the empty vector-transfected cells ( Figure 1F, gray).
To investigate whether the isolated α9-helix of GBP-1 is sufficient for the suppression of proliferation, the α9-helix (DLD1-α9) and full-length GBP-1 (DLD1-GBP-1) were stably expressed in DLD1 cells. To exclude clonal effects, three independent single-cell-derived lines were generated. GBP-1 and GBP-1-α9-helix expression were confirmed using immunocytochemical staining ( Figure 1G). Cells stably transfected with the empty control vector (DLD1-CV) and non-transfected DLD1 cells were used as negative controls ( Figure 1G). All cell lines expressing GBP-1 or the GBP-1-α9-helix exhibited a significantly decreased cell proliferation in comparison with DLD1-CV and non-transfected DLD1 cells ( Figure 1H). This demonstrated that the 49 amino acids of the GBP-1-α9-helix are sufficient to inhibit cell proliferation.
Previously, we reported that GBP-1 inhibits spreading of endothelial cells in a GTPase-dependent manner [13]. In accordance with this, cell spreading was significantly reduced in DLD1-GBP-1 cells in comparison with the spreading of control cells ( Figure 1I). In contrast, cell spreading was not affected in DLD1-α9 cells, which showed a similar spreading pattern as the control cells ( Figure 1I). Moreover, we investigated whether the α9-helix is able to remodel the actin cytoskeleton as it was previously reported for wild-type GBP-1 [28]. Transient expression of Flag epitope-tagged GBP-1 in HeLa cells resulted in the complete reorganization of the actin cytoskeleton and the disruption of stress fibers compared with control-transfected cells (Supplementary Figure S1). On the contrary, expression of Flag epitope-tagged α9-helix did not perturb the actin cytoskeleton. These observations demonstrated that the α9-helix selectively inhibits proliferation and has no impact on other cellular activities regulated by GBP-1 such as cell spreading and actin remodeling.
The α9-helix of GBP-1 interacts with the transcription factor TEAD To investigate the mechanism by which the GBP-1-α9-helix may inhibit cell proliferation, we searched for cellular-binding proteins using a Y2H screen [34]. The α9-helix of GBP-1 was used as bait and a wellestablished mouse E9.5-E10.5 cDNA library as prey [30,35,36]. Out of all putative interacting molecules, TEAD was the most promising candidate because TEAD has been shown to activate cell proliferation, and five independent but partly overlapping clones were identified. Specifically, these clones shared the residues 53-141 (corresponding to human TEAD2 isoform 3), which are part of the DNA-binding domain of TEAD (Supplementary Figure S2A).
In the validating co-immunoprecipitation experiments, endogenous TEAD showed a very strong interaction with ectopically expressed Flag-tagged GBP-1 in DLD1 and HeLa cells (Figure 2A, left). Furthermore, TEAD also interacted with the GBP-1-α7-11 fragment, which included the α9-helix (Figure 2A, right). TEAD was not precipitated using the α12-13 helices, the globular domain, or negative controls such as the empty vector (Ctrl.), GFP, or lysates of untransfected cells (Figure 2A, right). These results showed that ectopically expressed GBP-1 interacts with endogenous TEAD in mammalian cells.
Next, the interaction with the specific TEAD family members TEAD1-3 was investigated. An interaction of ectopic GBP-1 with endogenous TEAD1, TEAD2 and TEAD3 was demonstrated ( Figure 2B) and an interaction of endogenous GBP-1 with endogenous TEAD was shown in IFN-γ-stimulated HeLa cells ( Figure 2C). Moreover, slightly increased amounts of cytoplasmic TEAD were detected in DLD1 cells stably expressing Flag epitope-tagged GBP-1, both in immunocytochemical staining ( Figure 2D, arrows) and in Western blot analyses of cytoplasmic and nuclear cell fractions ( Figure 2E).
To investigate the functional impact of the GBP-1-TEAD interaction, we investigated TEAD-associated transcriptional activation in mammalian cells in the absence and presence of GBP-1 using a TEAD-dependent luciferase reporter assay ( Figure 2F). In stably transfected DLD1 cells, TEAD transcriptional activity was significantly lower in the presence of GBP-1 (DLD1-GBP-1) compared with its activity in control cells ( Figure 2F, left). Furthermore, when GBP-1 expression was induced with IFN-γ in HeLa cells, TEAD activity was also repressed ( Figure 2F, right). This IFN-γ-associated decrease in TEAD activity was reverted when GBP-1 expression was inhibited by a specific siRNA ( Figure 2F, right). Western blot analysis of the luciferase lysates demonstrated that the siRNA against GBP-1 inhibited GBP-1 expression (Supplementary Figure S2B). In a next step, quantitative RT-PCR was used to investigate whether the expression of the TEAD-target genes, foxm1 [37,38], c-myc [39], and connective tissue growth factor (ctgf ) [40], were influenced by GBP-1. The integrity of the isolated RNA and primer specificity are shown in Supplementary Figure S2C   TEAD-target genes was down-regulated in the presence of GBP-1 regardless of whether GBP-1 was ectopically expressed or induced by IFN-γ ( Figure 2G). These results indicate that GBP-1 inhibits the transcriptional activity of the Hippo transcription factor TEAD.

GBP-1 inhibits proliferation by binding to TEAD
To analyze whether TEAD binding is responsible for the inhibition of proliferation, we aimed to determine the TEAD-binding site in the GBP-1 sequence and to investigate whether mutation of this site abrogates the antiproliferative effect of GBP-1.
The best candidate site within GBP-1 was the α9-helix, as this helix was used in the original Y2H screen and GBP-1 fragments lacking the α9-helix failed to interact with human TEAD in co-immunoprecipitation experiments. To narrow down the specific TEAD-binding site in the GBP-1-α9-helix, a mutational screen was performed. Flag-tagged mutant variants (A1-7/α) harboring consecutive cassettes of seven alanines to substitute all of the 49 amino acids of the α9-helix were generated ( Figure 3A). All of the A1-7/α mutants begin at the α7 and end after the α13 lacking the CAAX motif and contain an N-terminal Flag tag. The mutants were expressed after transient transfection in HeLa cells ( Figure 3B). TEAD showed a significantly reduced interaction with the A1/α mutant (residues 376-382) compared with its interaction with GBP-1 and all other mutants (A2-7/α) ( Figure 3C,D). The use of an anti-pan TEAD antibody resulted in multiple bands in those lanes where high amounts of TEAD were precipitated, which likely represent different TEAD molecules. The amount of TEAD co-precipitated with the A1/α mutant was comparable with the TEAD amount precipitated with the negative control protein GFP ( Figure 3C,D). To further validate the relevance of the seven N-terminal residues of the α9-helix as TEAD-binding site, a computer-assisted molecular docking analysis was performed. The entire GBP-1-α9 helix and the available structure of the DNA-binding domain of TEAD1 were defined as docking partners without imposing any additional constraints on the geometry of the interaction. The DNA-binding domain was chosen as it was the only motif consistently present in each of the five interaction fragments identified in the Y2H analysis (Supplementary Figure S2A,E). Analysis of the 10 most favorable docking solutions revealed that TEAD binding was not evenly distributed along the α9-helix. Eight of the 10 solutions clustered around the N-terminal part of the α9-helix, indicating the existence of a preferred docking site ( Figure 3E). In six of the binding models, the distance between TEAD residues and the GBP-1 amino acid sequence 376 VDHLFQK 382 , which was targeted by the A1/α mutant, was below 10 Å ( Figure 3F). Accordingly, in agreement with the experimental data, the molecular docking analysis demonstrated that the N-terminal sequence of GBP-1-α9 was the preferred interaction site within TEAD. Of note, the 376 VDHLFQK 382 sequence was not detected in other human proteins, with the exception of GBP-3 (Supplementary Table S1), which is the closest homolog of GBP-1 [4].
Next, the effects of the A1-7/α mutants on proliferation were determined in transiently transfected DLD1 cells using Flag (transfected cells in green) and EdU ( proliferating cells in red) staining ( Figure 3G-J). More than 3 million cells were subjected to single-cell image analysis ( Figure 3H). Cells expressing the A1/α mutant exhibited a significantly higher proliferation rate than those expressing one of the other mutants (A2-7/α) or the helical domain ( Figure 3I). Representative results are shown in Figure 3J. Both the A1/α and A2/α mutant induced remodeling of the actin cytoskeleton, supporting that the anti-proliferative effect was not due to the impact of GBP-1 on the cytoskeleton (Supplementary Figure S1).
These results demonstrated that the first seven residues of the α9 helix caused the anti-proliferative effect of GBP-1 by binding to and functionally inhibiting the Hippo transcription factor TEAD.

Discussion
Dissection of the manifold activities of GBP-1 at the structure-function level is required to improve the understanding of the cellular functions of IFN-γ-induced large GTPases. Here, we elucidated the molecular mechanism of the GBP-1-mediated suppression of proliferation. We showed that the α9-helix of GBP-1 is sufficient to  inhibit cell proliferation, regulated by the binding of a seven-amino acid motif ( 376 VDHLFQK 382 ) of the N-terminus of the GBP-1-α9-helix to the Hippo transcription factor TEAD. Mutation of the 376 VDHLFQK 382 sequence leads to abrogation of both the anti-proliferative activity of GBP-1 and the TEAD binding. This binding lead to a functional deactivation of TEAD as confirmed concordantly with different experimental approaches. Of note, the inhibition of cell spreading by GBP-1, which requires the GTPase function located in the globular domain of the protein, was not affected by the α9-helix. Altogether, this demonstrates that the α9-helix is a specific proliferation inhibitory domain of GBP-1, which acts by binding to TEAD via the 376 VDHLFQK 382 sequence, leading to the functional neutralization of the transcription factor. A recent report showing that overexpression of TEAD1 increases colorectal cancer cell proliferation while its knockdown reduces it clearly supports our findings [41]. Furthermore, the interaction with GBP-1 could be confirmed for TEAD1-3.
Expression analyses showed that three well-established TEAD-target genes (foxm1, ctgf, and c-myc) were down-regulated in cells expressing GBP-1. FOXM1 is a transcription factor that promotes cell cycle progression [42]. CTGF has been described to be down-regulated in the presence of IFN-γ [43]. The transcription factor C-MYC is encoded by a proto-oncogene and is involved in the development of many different kinds of tumors [44]. Accordingly, the down-regulation of these genes is well in agreement with the anti-proliferative and antitumorigenic function of GBP-1. The results were confirmed in DLD1 cells that lack endogenous GBP-1 [11] and HeLa cells that exhibit a functional IFN-γ response, demonstrating that the impact of GBP-1 on TEAD does not require additional IFN-γ-induced factors.
The binding of GBP-1 to TEAD was confirmed with several different approaches: first, a Y2H screen, second, immunoprecipitation, and third, a computer-assisted molecular docking analysis. For the latter, the DNA-binding domain of TEAD1 was used for the following reasons: (i) an experimental structure was available representing the conformation in the absence of DNA as required for the modeling of cytoplasmic interactions [32], (ii) the TEAD1 domain exhibits a high sequence identity with and covers most parts of the TEAD2 interaction fragments identified in the Y2H analysis (Supplementary Figure S2A,E), and (iii) the interaction of GBP-1 with TEAD1 was experimentally confirmed. The mode of interaction differed between the different docking solutions. This is frequently observed for unbiased docking simulations in the absence of experimental restraints. Interestingly, the analysis of the 10 most favorable docking solutions revealed that 80% of the solutions clustered around the 376 VDHLFQK 382 sequence. This strongly supported experimental data, identifying the 376 VDHLFQK 382 sequence as a TEAD interaction motif. The results of the present work.
In a previous study, GBP-1 was reported to inhibit proliferation by decreasing levels of β-catenin, the executioner molecule of the Wnt pathway [45]. Notably, TEAD activation by YAP/TAZ leads to activation of serum/ glucocorticoid-regulated kinase 1 (SGK1), which is a known inhibitor of glycogen synthase kinase 3β (GSK3β), the central component of the β-catenin destabilization complex [46,47]. Accordingly, TEAD inhibition by GBP-1 may result in increased GSK3β expression, subsequent β-catenin degradation and finally inhibition of cell proliferation. In agreement with this hypothesis, a slight increase in β-catenin activity was observed in GBP-1-expressing cells in the presence of a GSK3β inhibitor (supplementary figure 6 of ref. [36]).
Our study demonstrates that the 49 amino acids of the α9-helix are both necessary and sufficient for the inhibition of cell proliferation. Accordingly, this fragment or even a sub-fragment such as the 376 VDHLFQK 382 sequence may be used to generate therapeutic peptides, for instance, to induce the deactivation of TEAD within anti-tumorigenic strategies. Support for the applicability of such an approach has been provided in a previous report [48]. Vice versa, peptides interfering with the GBP-1-TEAD interaction could allow cell proliferation under inflammatory conditions. This second approach may be of specific relevance to support cell growth and angiogenesis in non-healing wounds.
Interestingly, many other binding partners of GBP-1 have been identified previously. This includes proteins encoded by different viruses associated with anti-viral effects as well as cellular-binding factors, which binding triggers distinct processes of the IFN-γ response (Table 1). In some cases, the GTPase activity is required, whereas in others, it's dispensable, indicating that different areas of the protein and different mechanisms were involved. These observations support in combination with our results of the back tracing of a specific non-GTPase-dependent GBP-1 function to a defined area of the protein the modular structure of the multifunctional GBP-1 and opens new avenues to exploit specific activities of IFN-γ for targeted clinical applications.