Abstract
Hyperglycemia, hyperlipidemia, and insulin resistance are hallmarks of obesity-induced type 2 diabetes, which is often caused by a high-fat diet (HFD). However, the molecular mechanisms underlying HFD-induced insulin resistance have not been elucidated in detail. In this study, we established a Drosophila model to investigate the molecular mechanisms of HFD-induced diabetes. HFD model flies recapitulate mammalian diabetic phenotypes including elevated triglyceride and circulating glucose levels, as well as insulin resistance. Expression of glass bottom boat (gbb), a Drosophila homolog of mammalian transforming growth factor-β (TGF-β), is elevated under HFD conditions. Furthermore, overexpression of gbb in the fat body produced obese and insulin-resistant phenotypes similar to those of HFD-fed flies, whereas inhibition of Gbb signaling significantly ameliorated HFD-induced metabolic phenotypes. We also discovered that tribbles, a negative regulator of AKT, is a target gene of Gbb signaling in the fat body. Overexpression of tribbles in flies in the fat body phenocopied the metabolic defects associated with HFD conditions or Gbb overexpression, whereas tribbles knockdown rescued these metabolic phenotypes. These results indicate that HFD-induced TGF-β/Gbb signaling provokes insulin resistance by increasing tribbles expression.
Obesity, defined as an excessive accumulation of lipid in fat tissue, is associated with an elevated risk of developing insulin resistance and metabolic abnormalities, including diabetes and cardiovascular disease1. Adipose tissue is not only the primary site for storage of excess nutrients, but also functions as an endocrine organ by secreting numerous cytokines, growth factors, and hormones that regulate metabolic homeostasis2,3. Obese individuals have high circulating levels of adipokines, adipose tissue–derived cytokines that contribute to the development of metabolic dysfunctions and inflammatory responses4,5,6. The adipokine transforming growth factor-β (TGF-β) was recently identified as a critical mediator of insulin resistance in obesity-induced metabolic diseases. Circulating TGF-β levels are significantly elevated in obese humans, ob/ob mice, and high-fat diet (HFD)-induced obese mice7,8. By regulating expression of its target genes, such as PGC-1α and PPAR-γ, elevated TGF-β/Smad3 signaling is associated with systemic insulin resistance and hepatic steatosis8,9. Systemic neutralization or inhibition of TGF-β in HFD-induced obese mice ameliorates these phenotypes, suggesting that TGF-β signaling makes a physiologically relevant contribution to the progression of metabolic disease10. However, the molecular mechanism underlying the link between TGF-β signaling in adipose tissue and the development of insulin resistance has not been elucidated.
The Drosophila genome contains a compact set of TGF-β signaling factors including seven ligands, four type I receptors, two type II receptors, and four Smad proteins. Therefore, Drosophila is regarded as a versatile model system for the study of TGF-β signaling11. The Drosophila protein Glass Bottom Boat (Gbb) is a TGF β family member that regulates growth, differentiation, and tissue morphogenesis12,13,14. gbb mutant larvae are transparent due to the reduction of lipid contents in the fat body, the functional counterpart of mammalian adipose and liver tissue15. Gbb signaling affects several aspects of metabolism and energy homeostasis. For example, fat-derived Gbb remotely controls the expression of neuronal Drosophila insulin–like peptide 2 (Dilp2) and regulates the transcription of genes involved in amino acid uptake, lipid hydrolysis, and the transport of these molecules in the fat body16. Because many metabolic pathways, including insulin signaling17,18,19, lipid metabolism20,21, and food intake22,23, are conserved between Drosophila and mammals, we used the Drosophila model to investigate the role of TGF-β/Gbb signaling in conditions of nutrient excess or obesity.
HFD-fed flies exhibited abnormal glucose and lipid levels and insulin resistance similar to those observed in obese mammals. The HFD-induced insulin resistance was mediated by the activity of the Gbb–tribbles pathway in the fat body. Thus, targeted inhibition of Gbb–tribbles signaling represents a new therapeutic strategy for treatment of obesity and its associated metabolic diseases.
Results
Induction of gbb expression mimics HFD phenotypes in Drosophila
Overgrowth of adipose tissue increases release of TGF-β family ligands in mammals8,24, but it remains unclear how these ligands are involved in metabolic phenotypes. To investigate the functions of TGF-β family ligands in metabolic disease, we fed adult w1118 flies a HFD containing 20% coconut oil for 14 days. As in mammals, dietary fat induces obesity and diabetic phenotypes in Drosophila. Whole-body triglyceride (TG) levels started to increase after HFD feeding: the TG level peaked 4 days after initiation of HFD and was maintained until day 14 (Figure S1A, top). The trehalose/glucose level did not change during the first 4 days, but started to increase on day 6 and reached a maximum at day 10 (Figure S1A, bottom). Expression of Dilp2 mRNA and secretion of the encoded protein were also increased by HFD feeding, peaking on day 4 and decreasing to control levels between day 6 and day 10 (Figure S1B). In flies subjected to long-term HFD, insulin-stimulated AKT phosphorylation (pAKT) in the fat body was significantly lower than in control flies (Figure S1C).
On day 14 of the HFD, we measured the expression levels of seven ligands of the TGF-β superfamily in the adult fly fat body. Of the factors we tested, only gbb expression was significantly upregulated by HFD feeding (Fig. 1A), particularly in the fat body (Figure S2A). Next, we investigated whether gbb was able to change the levels of TG in the fat body and trehalose/glucose in the hemolymph. gbb overexpression in the adult fat body (DCG > gbb) increased the levels of TG and trehalose/glucose compared with those in control flies (DCG-Gal4/ + ) (Fig. 1B). However, gbb overexpression in the gut (NP3084 > gbb) or muscle (MHC > gbb) did not change the level of TG (Figure S2B). Furthermore, the level of pAKT was significantly reduced in the fat-derived gbb (DCG > gbb) but not in the gut- or muscle-derived gbb (Figure S2C).
To determine whether induction of gbb in the adult flies mimics the effects of a HFD, we used the inducible gene switch pS106GS-Gal4 driver, which can be activated by the addition of the mifepristone/RU-486 (RU)25. pS106GS-Gal4 driver induced gbb expression only in the adult fat body (Figure S2D). Over 14 days, the levels of TG and trehalose/glucose gradually increased in flies overexpressing gbb in the adult fat body (pS106GS > gbb, + RU) relative to those in control flies (pS106GS > gbb, −RU) (Fig. 1C,D). These results demonstrate that HFD-induced obesity can activate gbb in the adult fat body, resulting in hyperlipidemia and hyperglycemia.
gbb overexpression in the adult fat body (pS106GS > gbb + RU) significantly increased expression of Dilp2, and slightly increased expression of Dilp3 and Dilp5, relative to the levels in −RU controls (Fig. 1E). To determine whether gbb regulates insulin signaling, we dissected adult fat body from pS106GS > gbb + RU or −RU flies and treated them with insulin ex vivo (Figure S2E). In the −RU controls, ex vivo insulin treatment increased the level of pAKT relative to that in untreated samples. By contrast, in samples obtained from + RU flies, which overexpressed gbb in the adult fat body, ex vivo insulin treatment did not increase the level of pAKT (Fig. 1F).
To further investigate the regulation of insulin signaling by gbb, we examined the subcellular localization of dFOXO in larval fat bodies using the DCG-Gal4 fat body–specific driver. In these experiments, dissected fat bodies were serum-starved and treated with human insulin ex vivo. In the starved DCG-Gal4 control and DCG > gbb fat bodies, dFOXO was mainly localized in the nuclei (Fig. 1G,I). Upon insulin stimulation, almost all dFOXO protein was re-localized to the cytoplasm in DCG-Gal4 control fat bodies (Fig. 1H), whereas in DCG > gbb fat bodies most dFOXO protein was still located in nuclei (Fig. 1J). These results indicate that gbb overexpression in the fat body inhibits insulin signaling, resulting in an insulin-resistant phenotype similar to that observed under long-term HFD feeding.
Inhibition of Gbb signaling rescues HFD-induced obesity and diabetic phenotypes
Next, we tested whether inhibition of Gbb signaling would rescue HFD-induced obesity and the insulin-resistant phenotype. Gbb signaling in the fat body was inhibited by gbb RNAi (DCG > gbb Ri), dominant negative (DN) form of type I receptors (DCG > sax DN, DCG > tkv DN), type II receptor (DCG > punt DN), or Gbb signaling transducer dMad RNAi (DCG > dMad Ri). The elevated TG level in the HFD DCG-Gal4/ + control was not observed in DCG > gbb Ri, DCG > sax DN, DCG > punt DN, and DCG > dMad Ri (Figure S3A). To confirm this result only in the adult fat body, we used RU-inducible gene switch system pS106GS-Gal4 and inhibited Gbb signaling by pS106GS > gbb RNAi, pS106GS > punt DN, or pS106GS > dMad RNAi. In the normal control diet (NCD) condition, inhibition of Gbb signaling did not change the levels of TG or trehalose/glucose relative to those in −RU controls. However, in the HFD condition, inhibition of Gbb signaling suppressed the elevation of TG and trehalose/glucose levels observed in the absence of RU (Fig. 2A,B). Next, we examined insulin signaling in the fat body by monitoring AKT activation. HFD feeding decreased the pAKT level in −RU controls, but this reduction in pAKT was restored when Gbb signaling was inhibited (HFD, + RU) (Fig. 2C–E). Elevated expression levels of dFOXO target genes d4E-BP and dInR in the HFD condition were also restored when Gbb signaling was inhibited (HFD, + RU) (Fig. 2F,G). Thus, inhibition of Gbb signaling in the fat body rescued HFD-induced obesity and insulin resistance. To further test the insulin-resistance phenotype under the HFD condition, we dissected fat bodies from flies in which Gbb signaling was inhibited and treated them with insulin ex vivo. The insulin-resistance phenotype (reflected by pAKT levels) in the HFD, −RU, + insulin condition was rescued in the HFD, + RU (Gbb signaling inhibited), + insulin condition (Figure S3B,C,D). These data provide further evidence that inhibition of Gbb signaling in the fat body can rescue the insulin-resistance phenotype.
tribbles is a downstream target of Gbb signaling
To determine how Gbb signaling negatively regulates insulin signaling, we measured the expression levels of negative regulators of insulin signaling in gbb-transfected cultured Drosophila S2 cells. Protein Tyrosine Phosphatase 61F (PTP61F) and dPten decrease the activity of dInR and phosphoinositide 3-kinase (PI3K), respectively19,26, and Tribbles-related protein (Trb) inhibits pAKT27,28. In gbb-overexpressing S2 cells, the expression level of trb, but not PTP61F and dPten, was higher than that in controls (Fig. 3A). trb expression was also elevated in fat body from gbb-overexpressing adult flies (pS106GS > gbb + RU), but reduced in the fat body of flies in which Gbb signaling was inhibited (pS106GS > gbb RNAi, pS106GS > punt DN, pS106GS > dMad RNAi + RU), relative to the expression level in −RU controls (Fig. 3B). Together, these in vitro and in vivo results demonstrate that trb is a downstream target gene of Gbb signaling.
To determine whether trb is a direct transcriptional target of Gbb signaling, we performed chromatin immunoprecipitation (ChIP) assays with dMad antibody, followed by PCR amplification of trb regulatory sequences, in Drosophila S2 cells. In particular, we amplified the putative promoter and the ORF of the trb gene, both of which contain potential Mad-binding consensus sequences (GTCT) (Figure S4A,B). In the ChIP-PCR assay, we observed an amplified band corresponding to the trb promoter, but no band corresponding to the ORF (Figure S4C). In a ChIP-qPCR assay, the trb promoter was enriched 8-fold with dMad antibody (Fig. 3C). In gbb-overexpressing S2 cells, the association level between dMad and the trb promoter was elevated, but this was not the case for the trb ORF (Fig. 3D). In the luciferase reporter assays, 1.4kb trb upstream genomic DNA fragment containing the putative Mad binding site increased the luciferase activity significantly when gbb was overexpressed. However, 1.1kb trb upstream genomic DNA fragment and 1.4kb trb upstream genomic DNA fragment missing only the putative Mad binding site didn’t increase the luciferase activity (Fig. 3E). These findings provide strong evidence that the Gbb signal transducer dMad directly binds to the trb promoter and regulates trb transcription.
tribbles negatively regulates insulin signaling
To determine whether Trb can inhibit pAKT in Drosophila, as it does in mammals, we measured pAKT levels in fat bodies from pS106GS > trb flies. pAKT was increased by ex vivo insulin treatment in −RU control fat bodies, whereas, in trb-overexpressing fat bodies (pS106GS > trb, + RU), the insulin stimulated pAKT level was not elevated relative to the no-insulin control (Fig. 4A). These results confirm that tribbles can inhibit pAKT in the Drosophila fat body. Likewise, in adipose tissue of HFD-fed mice, expression of TGF-β and Trb3 was elevated relative to the corresponding levels in NCD-fed mice (Fig. 4B). To determine whether TGF-β signaling can induce Trb3 expression and inhibit insulin signaling in mammals, we treated HepG2 cells with TGF-β ligand. trb expression was increased 3-fold over control levels by TGF-β treatment, but less than 2-fold by treatment with TGF-β and TGF-β receptor inhibitor (Fig. 4C). When we measured the pAKT level in HepG2 cells, insulin treatment alone increased the pAKT level by 5-fold relative to control, whereas treatment with insulin and TGF-β caused no increase in the pAKT level. Moreover, treatment with insulin, TGF-β, and TGF-β receptor inhibitor increased the pAKT level by 3-fold (Fig. 4D). These findings indicate that, in mammals, as in Drosophila, TGF-β signaling turns on the Trb3 gene and negatively regulates insulin signaling by blocking pAKT.
tribbles inhibition suppresses gbb-induced obesity and diabetic phenotype
As with gbb, expression of trb increased in HFD flies (Figure S5A; compare with Fig. 1A). Therefore, we investigated the metabolic roles of trb. When trb was overexpressed in adult fat body (pS106GS > trb + RU), the levels of TG and trehalose/glucose were higher than those in −RU controls (Fig. 5A) and expression levels of dFOXO target genes d4E-BP and dInR were increased relative to those in −RU controls (Figure S5B). Inversely, when trb expression was knocked down in the adult fat body (pS106GS > trb RNAi + RU), the levels of TG and trehalose/glucose were reduced (Fig. 5B). To determine whether Gbb signaling regulates metabolism through trb, we knocked down trb in the adult fat body of gbb-overexpressing flies (pS106GS > gbb + trb RNAi) and monitored metabolic phenotypes. The levels of TG and trehalose/glucose in pS106GS > gbb + trb RNAi + RU conditions were lower than those in pS106GS > gbb + RU (Fig. 5C,D). Expression levels of dFOXO target genes d4E-BP and dInR were also lower in pS106GS > gbb + trb RNAi + RU than in pS106GS > gbb + RU (Figure S5C,D). These results strongly suggest that gbb regulates obesity and diabetic phenotypes by regulating trb expression in the fat body.
Discussion
Abnormally high fat mass is a major risk factor for the development of diabetes. Previous studies emphasize that excess adiposity results in abnormal production of cytokines, growth factors, and hormones4,5, which in turn causes secondary diseases like insulin resistance6. In this study, we demonstrated that HFD-induced obesity triggered TGF-β signaling, which downregulates insulin signaling in the fat body. We also demonstrated the role of tribbles, a novel target of TGF-β/Gbb signaling, in the development of insulin resistance.
Drosophila models were used in several recent studies of diet-induced obesity, insulin resistance, hyperglycemia, and hyperinsulinemia29,30,31,32. In Drosophila larvae, a high-sugar diet induces type 2 diabetic phenotypes including hyperglycemia, high TG, and insulin resistance31. Likewise, in adult flies, HFD feeding also induces high TG and altered glucose metabolism, and in mammals it causes cardiac dysfunctions like diabetic cardiomyopathy29. In this study, we established a Drosophila model of obesity-induced insulin resistance, which has remarkable parallels with the mammalian system, and used it to observe and investigate the development of insulin resistance under chronic over-nutrition conditions. In addition, to study the Drosophila insulin-resistance phenotype in detail, we developed an ex vivo culture system (Figure S2E).
When we fed adult flies a HFD, their short- and long-term metabolic responses were different: for example, expression and secretion of Dilp2 was increased by short-term HFD but decreased by long-term HFD. Insulin signaling, which was assayed by monitoring pAKT activation and expression of the dFOXO target genes d4E-BP and dInR, was activated in short-term but not long-term HFD, whereas TG and trehalose/glucose levels in hemolymph were increased by long-term HFD (Figure S1). Because these pathological phenotypes in flies were very similar to the phenotypes associated with insulin-resistant diabetes in mammals, we conclude that HFD adult flies can be used as a model of type 2 diabetes.
In addition to increasing TG levels, HFD feeding in flies increased the expression of gbb. In mice, inhibition of TGF-β signaling by knockout of Smad3 protects against diet-induced obesity and diabetes8. Inhibition of TGF-β signaling may improve adipose function and reverse the effects of obesity on insulin resistance. The TGF-β/Smad3 signaling also plays a key role in adipogenesis33. However, it remains unclear how TGF-β signaling is related to the onset of diet-induced obesity and diabetes. In this study, we examined the effects of Drosophila TGF-β family ligands on obesity. Of the genes we tested, only gbb was upregulated by HFD (Fig. 1A). Gbb regulates lipid metabolism and controls energy homeostasis by responding to nutrient levels16; consequently, gbb mutants have extremely low levels of fat in the fat body, resembling a nutrient-deprived phenotype16. On the contrary, gbb overexpression increased the TG level, mimicking the effects of nutrient-rich conditions (Fig. 1B). These data suggest that TGF-β/Gbb signaling is involved in HFD-induced obesity. Indeed, overexpression of gbb in the fat body phenocopied the TG and trehalose/glucose levels in flies fed a HFD (Fig. 1C,D compared with Figure S1A). However, Dilp2 expression was increased by gbb overexpression in the fat body, consistent with the effects of short-term but not long-term HFD (Fig. 1E compared with Figure S1B).
We next focused on three negative regulators of insulin signaling, PTP1b, PTEN, and tribbles 3 (TRB3), which are involved in insulin resistance in obese mammals34,35,36. tribbles was upregulated in gbb-overexpressing cells and flies, (Fig. 3A,B). In mammals, Tribbles encodes an evolutionarily conserved kinase that plays multiple roles in development, tissue homeostasis, and metabolism37. A mammalian Tribbles homolog, Tribbles homolog 3 (TRB3), is highly expressed in liver tissue under fasting and diabetic conditions, and inhibits insulin signaling by direct binding to Akt and blocking phosphorylation-dependent Akt activation28. Indeed, the expression level of TRB3 is elevated in patients with type 2 diabetes and animal models of this disease38. In the systemic sclerosis model, TGF-β signaling can induce mammalian TRB3 and activates TGF-β signaling-mediated fibrosis39. Recent work showed that Drosophila tribbles, like mammalian TRB3, inhibits insulin-mediated growth by blocking Akt activation18. In this study, tribbles expression was increased in HFD conditions in both mice and flies (Figs 4B, S5A), as well as in TGF-β–treated human liver cells (Fig. 4C). tribbles knockdown rescued the diabetic phenotypes caused by HFD (Fig. 5B), consistent with previous findings in mammals. In addition, tribbles knockdown rescued the diabetic phenotypes caused by gbb overexpression (Fig. 5C,D). These data strongly suggest that the evolutionarily conserved tribbles gene is a novel downstream target of Gbb signaling, and that tribbles knockdown rescues diabetic phenotypes in flies. Therefore, future studies should seek to elucidate TGF-β–Trb3 signaling and its functions in mammalian adipocytes; the resultant findings could suggest new strategies for preventing type 2 diabetes.
In summary, we established a Drosophila insulin-resistance model and demonstrated that Gbb signaling in the fat body plays a critical role in obesity-mediated insulin resistance by regulating tribbles expression. These results provide insights regarding the function of Gbb/TGF-β signaling in metabolic disease, and suggest that this pathway represents a promising therapeutic target for treatment of obesity and diabetes.
Materials and Methods
Drosophila melanogaster stocks
Drosophila melanogaster were cultured and kept at 25 °C on a NCD containing 38% cornmeal, 20% yeast, 5% sugar, and 2% agar. w1118 flies were obtained from the Bloomington Stock Center, pS106GS–Gal4 from Dr. M. Tatar, DCG-Gal4 from Dr. J. Graff, UAS-gbb, UAS-dpp, UAS- UAS-dActβ, and UAS-punt DN from Dr. M. O’Conner, and UAS-tribbles from Dr. M. Milán. We also obtained UAS-gbb RNAi, UAS-dMad RNAi, and UAS-tribbles RNAi lines from the Vienna Drosophila Resource Center. In order to express pS106GS–Gal4, adult flies were cultured on an agar-based diet supplemented with 200 μM RU486 (Sigma).
Cell culture, stimulation, and transfection
Drosophila S2 cells purchased from Invitrogen were maintained at 26 °C in Schneider medium supplemented with 10% bovine calf serum. HepG2 cells were cultured in 4.5 g/l glucose Dulbecco’s modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum, 2% L-glutamine, 100 mU/ml penicillin, and 100 mg/ml streptomycin in a 5% CO2 atmosphere at 37 °C. The culture medium was changed every 2–3 days. Before peptide treatments, cells were starved for 8 h in serum-free medium containing 0.5% BSA and pretreated with chemical inhibitor or vehicle. TGF-β and TGF-β RI kinase inhibitor II (10 mM, Calbiochem) were used in these experiments. For transfection, cells were cultured in growth medium without antibiotics and transfected with small interfering RNA (siRNA) using Xtreme GENE HP (Roche). For overexpression of gbb, the full-length gbb cDNA was cloned into vector pAc5 (Invitrogen).
HFD and feeding
The HFD was prepared by the addition of 20% (vol/vol) coconut oil to the NCD; these proportions were used in all HFD experiments. The HFD was administered to male flies collected when they were 3–5 days old.
Measurement of body TG level
Thirty adult fly bodies were collected and homogenized, and TG levels were measured using the Triglyceride Determination Kit (Sigma). TG levels were normalized to total protein levels.
Measurement of trehalose/glucose level in hemolymph
Hemolymph was collected from 20 flies, and concentrations of trehalose/glucose were measured as previously described40.
RNA purification and quantitative RT-PCR analysis
Fat bodies from 20 flies were collected for RNA preparation. Total RNA extraction and quantitative RT-PCR were performed as previously described23. mRNA levels were expressed as the fold change relative to the corresponding level of rp49 mRNA, used as an internal normalization control. The comparative cycle threshold (Ct) method (User Bulletin 2, Applied Biosystems) was used to analyze the data. Primers used in this study are listed in Supplementary Table 1.
Ex vivo culture of adult fat bodies
Adult fat bodies were dissected in the Schneider’s medium, starved for 8 h in serum-free medium containing 0.5% BSA, and incubated for 1 h in Schneider medium containing human insulin (100 nM, GIBCO).
Western blot analysis and immunostaining
Total protein from adult fat bodies was isolated in Drosophila homogenate buffer (10 mM HEPES, 100 mM KCl, 1 mM EDTA, 5 mM DTT, 0.1% Triton X-100, 10% glycerol, and protease inhibitor cocktail [Sigma]). Western blots were performed as previously described22. Phospho-AKT and dAKT primary antibodies (both used at 1:1000) were obtained from Cell Signaling, and horseradish peroxidase–conjugated anti-rabbit IgG secondary antibody (1:2000) was obtained from Santa Cruz Biotechnology. Immunostaining was performed as previously described41 with dFOXO primary antibody (1:200; gift from Dr. M. Tatar) and the anti-rabbit IgG Alexa 488 secondary antibody (1:200, Molecular Probes).
ChIP
Cells were fixed in 0.5% formaldehyde for 15 min. ChIP analysis was performed as described23. After nuclei were isolated and chromatin was sonicated, an aliquot of DNA was removed as the input control, and the remainder was incubated with either normal mouse IgG (2 μg, Santa Cruz Biotechnology) or mouse anti-dMad (2 μg, Santa Cruz Biotechnology). Traditional PCR and qPCR were performed using input DNA and immunoprecipitated DNA. Primers used in this study are listed in Supplementary Table 2.
Luciferase reporter assay in Drosophila S2 cells
For luciferase assays, 1.4 kb Drosophila trb upstream genomic DNA (from +60 to −1346) and 1.1 kb (from +60 to −1054) were amplified by PCR, subcloned into the pGL3 luciferase reporter vector (Promega), and generated pGL3-trb1.4kb and pGL3-trb1.1kb. pGL3-trb1.4KbΔMbs, the deletion construct of the putative Mad binding sequence (GACATCCGTCTG) in pGL3-trb1.4Kb, was generated by overlap extension PCR using primers sitting on flanking sequences of the deletion42. These DNA constructs and pAc5.1A-gbb or pAc5.1A protein expression vector were transfected in Drosophila S2 cells with Xtreme GENE HP (Roche). After 48 h, cells were harvested and measured the luciferase activity using Luciferase reporter assay system (Promega) according to manufacturer’s instructions. The assays were repeated three times. Primers used in this study are listed in Supplementary Table 2.
Statistical analysis
Each experiment was repeated at least three times, and the data were presented as mean ± s.e.m. Student’s t-test was used for statistical analyses, and P < 0.05 was accepted as statistically significant.
Additional Information
How to cite this article: Hong, S.-H. et al. High fat diet-induced TGF-β/Gbb signaling provokes insulin resistance through the tribbles expression. Sci. Rep. 6, 30265; doi: 10.1038/srep30265 (2016).
Supplementary Material
Acknowledgments
We thank the members of the Yu laboratory for helpful comments. This work was supported by grants from KRIBB Research Initiative Program, National Research Council of Science & Technology (CRC-15-04-KIST), National Research Foundation of Korea (2014M3A9D8034462, 2015R1A5A1009024, 2015R1C1A2A01053705), and the Cooperative Research Program for Agriculture Science & Technology Development, Korea (PJ01168101).
Footnotes
Author Contributions S.-H.H., K.-S.L. and K.Y. designed the experiments, S.-H.H. and M.K. performed the experiments, and S.-H.H., K.-S.L. and K.Y. analyzed the data. S.-H.H., K.-S.L. and K.Y. wrote the paper.
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