Abstract
The spinocerebellar ataxias (SCA) comprise a group of inherited neurodegenerative diseases. SCA3 is the most common form, caused by the expansion of CAG repeats within the ataxin 3 (ATXN3) gene. The mutation results in the expression of an abnormal protein, containing long polyglutamine (polyQ) stretches. The polyQ stretch confers a toxic gain of function and leads to misfolding and aggregation of ATXN3 in neurons. Thus, modulators of ATXN3 expression could potentially ameliorate the pathology in SCA3 patients. Therefore, we generated a CRISPR/Cas9 modified ATXN3-Exon4-Luciferase (ATXN3-LUC) genomic fusion- and control cell lines to perform a reporter cell line-based high-throughput screen comprising 2640 bioactive compounds, including the FDA approved drugs. We found no unequivocal inhibitors of, but identified statins as activators of the LUC signal in the ATXN3-LUC screening cell line. We further confirmed that Simvastatin treatment of wild type SK-N-SH cells increases ATXN3 mRNA and protein levels which likely results from direct binding of the activated sterol regulatory element binding protein 1 (SREBP1) to the ATXN3 promotor. Finally, we observed an increase of normal and expanded ATXN3 protein levels in a patient-derived cell line upon Simvastatin treatment, underscoring the potential medical relevance of our findings.
Similar content being viewed by others
Introduction
Machado Joseph Disease (MJD) or Spinocerebellar Ataxia 3 (SCA3) is a neurodegenerative disorder caused by an abnormal expansion of the polyglutamine (polyQ) tract of the ataxin-3 gene (ATXN3)1,2.
ATXN3 is a deubiquitinating enzyme (DUB), involved in protein homeostasis via the ubiquitin proteasome system (UPS) and endoplasmic reticulum associated degradation (ERAD) by interaction with VCP/p973. In SCA3, the expanded polyQ tract within ATXN3, leads to misfolding, aggregation and accumulation of mutated (and the normal) ATXN3 protein in nuclear inclusions in neurons. The pathological accumulation of ATXN3 in turn impairs protein homeostasis within neurons3,4.
As a result of the neurodegenerative process, SCA3 patients are severely disabled and die prematurely. Thus, reducing the amount of the disease-causing ATXN3 protein constitutes a promising target for treatment approaches. In the past, several screens with different paradigms for ATXN3 modulation have been performed in the quest for novel targets for SCA3. Druggable genome-wide- and drug library screenings mainly concentrated on the reduction of stably overexpressed ATXN3(PolyQ)protein and improvement of the resultant toxicity5,6,7,8,9.
The antipsychotic drug Aripiprazole was identified as a potential ATXN3(PolyQ) reducing drug in a primary cell-based ATXN3 overexpression model. Treatment of transgenic ATXN3 Drosophila flies and mice confirmed the beneficial effects by increasing longevity in the flies and decreasing aggregated ATXN3 protein in both SCA3 animal models8. More recently, Fardghassemi and colleagues found five neuroprotective drugs for ATXN3PolyQ induced toxicity in a compound screening assay performed in C. elegans. Thereby, they discovered that the transcription factor TFEB/HLH-30 was related to ATXN3 toxicity9. However, these approaches considering transgenic overexpression models of toxic ATXN3 alone missed modulators of endogenous ATXN3 regulation.
Here, we performed a reporter cell line-based high-throughput compound screening (HTS) assay to identify modulators of endogenous ATXN3. To our knowledge, this is the first study seeking for compounds to alter endogenous ATXN3 expression levels. In our screening approach, we found no unequivocal inhibitors, but identified four statins i.e. Mevastatin, Atorvastatin, Fluvastatin and Simvastatin to increase LUC signal in the ATXN3-LUC screening cell line and further confirmed Simvastatin as an activator of ATXN3 expression in SK-N-SH wild type cells. Statins are potent inhibitors of 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR). HMGCR is the rate-limiting enzyme in the mevalonate/cholesterol pathway. Inhibition of the enzyme results in cellular cholesterol reduction and in turn activates the sterol regulatory element binding proteins (SREBPs) which are key transcription factors for regulation of genes involved in cholesterol and lipid pathways. Three SREBPs are known and transcribed from two genes SREBP1 and SREBP2. The SREBP1 gene encodes for two SREBP1 isoforms (1a and 1c)10,11. In this study, we found that Simvastatin treatment increased ATXN3 levels by direct binding of the activated SREBP1 transcription factor to the ATXN3 promotor in wild type SK-N-SH cells.
Results
Simvastatin leads to increased ATXN3 mRNA and protein levels by direct binding of activated SREBP1 transcription factor to the ATXN3 promotor
We employed a similar HTS approach as published recently12. We used the CRISPR/Cas9 based gene editing to modify the endogenous ATXN3 gene in a SK-N-SH wild type cell line by insertion of a GFP-T2A-LUC cassette (ATXN3-LUC) (Fig. 1A, Supplementary Fig. S1). A second SK-N-SH cell line with a random integration of the reporter cassette (Rand-LUC) served as a control for unspecific modulators and toxicity.
We found no inhibitors of ATXN3, but identified statins as activators of LUC signal in the ATXN3-LUC screening cell line (Fig. 1B,C, Supplementary Fig. S2–3). The compound library contained eight statins and two other HMGCR inhibiting drugs. Interestingly, only four statins i.e. Mevastatin, Atovarstatin, Fluvastatin and Simvastatin increased the LUC signal in the ATXN3 SK-N-SH model, while Lovastatin, Pitavastatin, Pravastatin and Rosuvastatin showed no signal change compared to controls. Simvastatin showed the most consistent effect in the primary HTS and was thus chosen for further validation in non-modified SK-N-SH cells. The non-statin HMGCR inhibiting drugs, Clinofibrate and SR12813, were not effective in our screening assay.
We performed time-course experiments in SK-N-SH wild type cells and Simvastatin was applied for 2, 4, and 8 h (h). The treatment showed a significant increase of ATXN3 mRNA (1.4 fold after 2 h) and ATXN3 protein levels (1.3 fold after 4 h), compared to DMSO-treated control cells (Fig. 2A,C,E). Additionally, we observed increased levels of the activated sterol responsive element binding proteins (SREBP1) transcription factor and HMGCR (Fig. 2C,D,F). To corroborate the hypothesis that ATXN3 mRNA and protein increase was due to direct binding of activated SREBP1 (mSREBP1) to the ATXN3 promotor, chromatin immunoprecipitation (ChIP)—qPCR experiments for SREBP1 were performed and revealed an average ATXN3 promotor enrichment of 2.9-fold after 1 h Simvastatin treatment, compared to DMSO-treated control cells (Fig. 2B) in wild type SK-N-SH.
Time-controlled overexpression of active human SREBP1a in murine N2a cells increases endogenous ATXN3 protein levels
To assess, which SREBP1 isoform increases levels of ATXN3, we used a tetracycline-controlled trans-activator (tTA) containing (pTet-Off)- and doxycycline (Dox)-responsive murine N2a cell line. This system allows the transient and time-controlled overexpression of the constitutively active human SREBP1a- and 1c isoforms, which were previously cloned into pTREhyg plasmids. While human SREBP1 expression was completely restricted by overnight incubation with Dox, removal for 1–3 h enabled the expression of human SREBP1a- and 1c proteins. We observed significantly increased endogenous ATXN3 protein levels after two (1.5-fold) and three (1.7-fold) hours for human SREBP1a overexpression (Fig. 3A,B) while SREBP1c was inactive (Fig. 3D,E). To confirm SREBP1a binding to the human ATXN3 promotor, we used the same expression system and co-transfected a LUC-reporter plasmid (pGL4 2.3) containing the promotor region of human ATXN3 together with the human SREBP1a (pTREhyg)- and the Renilla luciferase plasmid for normalization. Cells were incubated overnight with Dox and removal for 2–8 h lead to significant increased LUC signal after 8 h (Fig. 3C).
Simvastatin leads to increased ATXN3 and HMGCR protein levels in SCA3 patient-derived, induced pluripotent stem cell (iPSC)-derived long-term self-renewing neuroepithelial-like stem cells (MJD1 lt-NES cells)
To find out whether Simvastatin treatment effects ATXN3 levels in a human model, we analysed SCA3 patient-derived MJD1 lt-NES cells. Simvastatin treatment led to similar and significantly increased levels of ATXN3 polyQ (L) (~ 1.75-fold)- and the normal allel (S) (~ 1.5-fold) which were quantified separately and summarized (T) (~ 1.6-fold), respectively (Fig. 4A–D). We also observed significantly increased HMGCR levels (~ 3.3-fold) (Fig. 4A,E).
Discussion
Using a LUC reporter cell line-based HTS screening assay of 2640 bioactive substances, including FDA approved drugs we identified statins as activators of ATXN3 expression, while no inhibitors of ATXN3 expression were found in this compound library.
The library contained eight different statins of which Mevastatin, Atovarstatin, Fluvastatin and Simvastatin were effective (Supplementary Fig. S3). Non-effective statins like Pravastatin and Rosuvastatin are considered as hydrophilic and may not easily pass cell membranes via diffusion. Thus, they may only reach low intracellular concentrations16. The other two statins, Lovastatin and Pitavastatin are lipophilic and should pass the cellular membranes but (also Prava- and Rosuvastatin) have also been shown to be less active in the reduction of total cholesterol levels in neuronal SK-N-MC cells compared to the four effective statins in our HTS. Furthermore, Simvastatin showed the highest reduction of total cholesterol in this assay, followed by Fluvastatin, Mevastatin and Atorvastatin17.
Simvastatin showed the most consistent effect in the primary HTS and led to increased ATXN3 mRNA and protein levels in wild-type SK-N-SH cells (Fig. 2A,C,E). Mechanistically, this induction likely occurs by direct binding of the activated human SREBP1 to the ATXN3 promotor as shown in ChIP-qPCR analyses in SK-N-SH wild type cells (Fig. 2B,C,D). In line with others, we observed increased protein levels of HMGCR after Simvastatin treatment in the SK-N-SH cells (Fig. 2F)15.
The human and murine ATXN3 promotors contain putative SREBP1 binding motifs18,19,20,21,22 (Supplementary Figs. S4 and S5) and time-controlled overexpression of the active human SREBP1a in murine Neuro 2a (N2a) cells increased protein levels of ATXN3 (Fig. 3A,B). The same model system was used to confirm SREBP1a binding to the human ATXN3 promotor by co-transfection of SREBP1a and a LUC-reporter plasmid containing the promotor sequence of human ATXN3 (Fig. 3C), suggesting a similar SREBP1 dependent regulation of murine- and human ATXN3 levels.
To investigate whether Simvastatin modifies levels of ATXN3 polyQ protein in a human neuronal disease model, patient-derived MJD1 lt-NES cells were treated. As previously observed in the SK-N-SH cells, Simvastatin treatment led to increased levels of mutant and normal ATXN3-, and HMGCR protein (Fig. 4).
Statins are specific inhibitors of HMGCR, the rate-limiting enzyme in the mevalonate/cholesterol pathway10. Inhibition of HMGCR leads to reduced sterol levels in the cell, which in turn activates SREBPs to restore lipid and fatty acid homeostasis. SREBPs belong to the classic basic helix-loop-helix leucine zipper (bHLH zip) transcription factor family and consist of three proteins, SREBP1a, 1c and SREBP2 which are transcribed from two genes. SREBP1a and 1c differ in the length of their N-terminal transactivation domain and are involved in cholesterol- (SREBP1a) and fatty acid (SREBP1a/1c) homeostatic pathways. SREBP2 is encoded by the SREBP2 gene and mainly involved in the cholesterol pathway11,23.
Cholesterol levels are sensed by the endoplasmic reticulum (ER) transmembrane-SREBP cleavage activating protein (SCAP) which is directly bound to SREBP. At low cholesterol levels, the SCAP-SREBP complex is transported to the Golgi via COPII vesicles and subsequent processing of SREBP by site 1 and 2 proteases leads to activation and nuclear translocation of the mature N-terminal (mSREBP) transcription factor. At high/normal cholesterol levels the SCAP-SREBP complex is retained in the ER membrane by direct interaction of SCAP with the insulin induced genes, INSIG1 and 213.
The ability of statins to pass cellular membranes or the blood brain barrier (BBB) are determined by their physico-chemical properties. Highly lipophilic statins like Simvastatin and Lovastatin may easily cross via passive diffusion whereas less lipophilic statins including Fluvastatin and Pravastatin are discussed to be actively transported via organic anion transporter polypeptide 2 (OATP2) or monocarboxylic acid transporter (MCT)24,25. As a response to statin treatment, differential gene expression and slightly reduced cholesterol levels were observed in the brain, indicating potential regulatory properties in this tissue26. Thelen and colleagues27 found that short-term and high dose Simvastatin treatment in mice affected cholesterol synthesis and increased HMGCR mRNA levels in the brain, in contrast to pravastatin. In 2019, Fracassi and colleagues performed a broad meta study about the effect of statins in the brain e.g. mental disorders and neurodegenerative diseases like Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease. They concluded, that more research is required as studies failed to confirm beneficial effects of statin treatment initially observed in neurodegenerative disease models25. Dependent on the pathophysiological condition of cholesterol levels in the respective neurodegenerative disease, in our opinion statin treatment requires careful consideration.
Little is known about altered cholesterol homeostasis in SCA3. Transcriptional changes of genes related to the cholesterol biosynthesis pathway in the brain of SCA3 transgenic mice have been reported28. Nobrega and Collegues (2019) recently found that cholesterol 24-hydroxylase (CYP46A1) is decreased in cerebellar extracts of SCA3 patients and SCA3 mice. CYP46A1 is the key enzyme allowing efflux of brain cholesterol via BBB into circulation and activating brain cholesterol turnover. Restoring CYP46A1 levels in SCA3 mice led to reduced ATXN3PolyQ accumulation and neuroprotection by alleviation of motor impairments. Vice versa, knocking-down of CYP46A1 in mice brain impairs cholesterol metabolism and resulted in severe neurodegeneration. The authors showed that CYP46A1 expression improved the endosomal–lysosomal pathway and increased the autophagy rate in general, linking a role of brain cholesterol pathway to mechanisms mediating clearance of aggregated proteins29.
Although the above-mentioned studies observed dysregulation of genes within the cholesterol synthesis pathway or cholesterol turnover in SCA3 models, no data have yet described a distinct role of wild type or pathogenic ATXN3 in cholesterol homeostasis. We observed that Simvastatin treatment of patient-derived MJD1 lt-NES cells led to increased levels of mutant ATXN3 protein pointing to a possible implication of statin treatment in SCA3 patients (Fig. 4). Based on our work, we postulate a putative new role of ATXN3 in cholesterol homeostasis by functioning as a DUB enzyme acting in concert with the known interaction partner VCP/p9730,31 to stabilize or target key proteins of the cholesterol homeostasis for ERAD (Fig. 5)13,14,15, opening a novel door for future SCA3 research.
Methods
Cultivation and cell treatments of human neuroblastoma and N2A cell lines
The wild type human SK-N-SH neuroblastoma cell line was purchased from the European Collection of Authenticated Cell Cultures (ECACC) and used for the generation of our screening cell lines.
The wild type mouse Neuro 2A (N2a) was purchased from American Type Culture Collection (ATCC). All cell lines were cultivated in DMEM Glutamax (Gibco) supplemented with 1% penicillin/streptomycin (Gibco) and 10% inactivated FBS (Sigma-Aldrich), respectively. For detachment, cells were treated with 0.05% Trypsin–EDTA 1x (Gibco) for 10 min at 37 °C. All compounds were purchased from Selleckchem.
Cultivation of SCA3 patient-derived, induced pluripotent stem cell (iPSC)-derived long-term self-renewing neuroepithelial-like stem cells (MJD1 lt-NES cells)32
Cells were plated on poly-l-ornithine/laminin (both Sigma) coated tissue culture plates and cultivated in a stock media (DMEMF12 Glutamax (Gibco) supplemented with 1% penicillin/streptomycin (Gibco), 1:100 N2 supplement (Gibco), 0.8 g D-glucose) with alternating concentrations of growth factors. On day one, cells were plated in stock media supplemented with 10 ng/ml EGF (Gibco) and 10 ng/ml FGF (Gibco). On the second day media was changed by stock media containing 40 ng/ml EGF and 40 ng/ml FGF. For further cultivation of MJD1 lt-NES cells, media was changed every day with alternating concentrations of growth factors (low: 10 ng/ml and high: 40 ng/ml). Accutase (Sigma) was diluted 1:3 with PBS and used for cell detachment (10 min room temperature). Treatments were performed in media with low growth factor concentration.
Generation of ATXN3-GFP-LUC reporter- and control cell line via CRISPR/Cas9 gene editing and homologous recombination
CRISPR target sites for ATXN3 exon 4 were selected from the web tool chopchop (https://chopchop.cbu.uib.no/)33 using the genomic sequence of ATXN3 Exon4 (EU009923.1) and cloned into GeneArt CRISPR Nuclease Vector Kit (Thermo Fisher Scientific) according to manufacturer’s protocol. Primers for ATXN3_CRISPR target site 7 (TS7) Exon 4 were as follows: forward GATACTCTGGACTGTTGAACGTTTT, reverse GTTCAACAGTCCAGAGTATCCGGTG.
For cloning of the homologous recombination (HR) vector HR150PA-1 (PrecisionX HR Targeting Vectors, System Bioscience), primers for the HR arms were tagged with 5′ palindromic sequences for respective restriction enzymes (bold). Amplification of HR arms were performed with Herculase II Fusion DNA Polymerase (Agilent) from genomic DNA (gDNA) of SK-N-SH. Primers were as follows: left HR arms upstream GFP-LUC cassette (HR150PA-1), forward GAATTCAAGCGGCAAGCCCATGACC and reverse GAATTCAGGATTAGTTCTAAACCCCAAACTTTC, EcoRI; for right HR arm downstream GFP-LUC cassette (HR150PA-1), forward GGATCC AACAGTCCAGAGTATCAGAGGCTCAG and reverse GTCGAC GACAGGACCTCCCTTTGTTGCCC, BamHI and SalI, respectively. Total length of HR arms was as follows: left HR arm 816 bp and right HR arm 702 bp. PCR products were sub-cloned into pJET1.2 (CloneJET PCR Cloning Kit, Thermo Fisher Scientific) and finally inserted into the HR150PA-1. Vector integrity was confirmed by sequencing. All restriction enzymes were fast digest enzymes and purchased from Fermentas, Thermo Fisher Scientific.
Transfection, selection and screening of the ATXN3-GFP-LUC knock-in cell line
Performed as described in Stahl et al.12.
Generation of stable tetracycline-controlled trans-activator (tTA) containing (pTet-Off)-N2a cell line
Wild type N2a cells were transfected with the pTet-Off regulatory plasmid according to manufacturer’s protocol (ClontechTet-Off Gene Expression System). Selection pressure was applied after 24 h and maintained for 1–2 weeks. Single colonies were picked and transferred into 96 well plates. To check for the best responding cell line, the single colonies were expanded in 24 well plates and transfected with the pTRE2hyg-LUC plasmid to measure luciferase activity in plus doxycycline (1:1000)—and minus doxycycline conditions. Doxycycline was purchased from Sigma.
Cloning of SREBP constructs into pTRE2hyg plasmid
We purchased the pcDNA3.1-2xFLAG-SREBP1a, and 1c plasmids (#26801 and #26802) from addgene and cloned the coding sequence into pTRE2hyg vectors. pCDNA3.1 was linearized with XbaI and blunted. The SREBP sequences were finally excised with BamHI and cloned into BamHI and EcoRV digested pTRE2hyg plasmid (ClontechTet-Off Gene Expression System). pcDNA3.1-2xFLAG-SREBP1a, and 1c plasmids were a gift from Timothy Osborne (#26801 and #26802)34.
Cloning of human ATXN3 promotor into pGL4 2.3 plasmid
For cloning of the ATXN3 promotor into pGL 4 2.3 (Promega) plasmid, genomic DNA from SK-N-SH was amplified with forward CTCGAGccttaacctctccgtgcc and reverse AAGCTTacgcagaccaatcaccc primer flanking the ATXN3 promotor (promotor sequence see Supplementary Fig. S4) and sub-cloned in TOPO TA-vector (Thermofisher). The PCR product was excised with Xho and HindIII and cloned into Xho, HindIII opened pGL 4 2.3. Vector integrity was confirmed by sequencing.
Transfection of pTRE2Hyg plasmids into pTet-Off containing N2a cells
Transfection of N2A cells was performed with the Roti-Fect PLUS (Roth) transfection reagent according to manufacturer’s protocol. Cells were seeded in 12 well plates 4 h prior transfection. A total of 1 µg plasmid DNA was transfected to each well. The DNA to Roti-Fect ratio was 1:3 (1 µg and 3 µl). After 4 h, doxycycline-containing media (1:2 × 105) was added to the transfection reaction (ratio 1:1) and incubated overnight. On the next day, doxycycline containing media was changed and protein expression was induced by doxycycline removal for 1–3 h.
Isolation of nucleic acids
Genomic DNA (gDNA)
Performed as described in Stahl et al.12.
PCR
Standard PCR and gel-electrophoreses
For the generation of the homologous recombination arms 100–200 ng DNA was amplified in a total volume of 20 μl. Mastermix was prepared at final concentrations of 1 × reaction buffer (BioTherm, Genecraft), 250 µM dNTPs (Thermo Fisher Scientific), 0.2 µM of each primer, 1unit Taq DNA polymerase (BioTherm, Genecraft) and filled up to 20 µl with H2O. After initial denaturation at 94 °C for 3 min PCR were run for 30 cycles (denaturation 94 °C for 30 s, annealing for 30 s at respective temperature, extension 68 °C for 1 min). PCR products were amplified in the Biometra TADVANCED thermocycler and separated in 1% TBE agarose gel containing 2.5 × GelRed Nucleic Acid Gel Stain (Biotium) for visualization. For the validation of ATXN3-GFP-LUC-fusion, mRNA was converted into cDNA (QuantiTect Reverse Transcription Kit, Qiagen) and amplified by using hMJD-27 CGTGGGGGCCGTTGGCTCCAGACAAA and HR150GFP reverse TGTCACGATCAAAGGACTCTGG primer.
Miniprep/Maxipreparation
Performed as described in Stahl et al.12.
RT-qPCR assays
ATXN3 mRNA
For hit validation SK-N-SH wildtype cells were treated at effective concentrations of 10 µM for 2 h in 24 well plate format and triplicates. Total RNA was extracted with the RNeasy Mini kit (Qiagen). RT-qPCR reactions were performed with the QuantiTect SYBR Green RT-PCR Kit (Qiagen) in a 96 well format and run in the Applied Biosystems HT7500 cycler. We used 75 ng of total RNA for amplification. Primers were as follows: ATXN3, forward CACGAGAAACAAGAAGGCTCAC and reverse CTCCTTCTGCCATTCTCATCC.
ATXN3 mRNA expression were normalized to ubiquitin C (UBC), glucuronidase beta GUSB and hypoxanthine phosphoribosyl-transferase 1 (HPRT1) housekeeping genes as described in Stahl et al.12.
Relative mRNA levels were calculated using the ΔΔCT Method for multiple housekeeping genes from Pfaffl, published in “A–Z of quantitative PCR”35.
ChIP-qPCR
ChIP-qPCR was performed with Sigma Jumpstart SYBR Green Mastermix in a total volume of 25 µl. We used 3 µl of ChIP-DNA as a template. Primer were designed according to SREBP binding site annotation in UCSC human genome browser20,21. Primers as follows: ATXN3 Promotor SREBP binding site FW CCAGGTGAGCGGTCCAGAC and RV GCAGACCAATCACCCGTGA. IP data were normalized to input and DMSO control according to Pfaffl. As a negative control we used empty controls (chromatin incubated with beads without antibodies).
LUC assay
Bioactive compound collections L1700 (Selleckchem) were randomly spotted at a concentration of 10 µM in three independent experiments.
The screening process was fully automated and performed at the Laboratory Automation Technologies (LAT), DZNE Bonn. For the luciferase assay 1.5 × 104 cells/well in a volume of 30 µl were seeded into nunc white 384 well plates (Thermo Fisher Scientific). Cells attached and grew for approx. 18 h at 37 °C before treatment. The pre-spotted 384 well compound plates (100 nl/well) were diluted with 25 µl medium/well and shaken for 5 min with 1200 rpm at RT. Subsequently, 10 µl of the compound dilution were applied to 384 well cell plates, resulting in a final concentration of 10 µM and incubated for 24 h at 37 °C. Controls were distributed on the assay plate in a fixed layout for all three independent experiments. The tested drugs were randomly distributed for the three experiments to avoid well location dependent effects. Cells were lysed by adding 40 µl of ONE Glo (Lysis Buffer and Luciferase Substrate, Promega) to each well (on top of medium), incubated for 5 min while shaking at 1200 rpm and luciferase signal was measured with the Paradigm Reader at 1200 ms integration time.
For hit definition the LUC signal of treated cells was normalized to untreated controls per plate. Compounds showing an increased (activators) or decreased (inhibitors) LUC signal of more than the three-fold standard deviation (SD) of the median of untreated controls were considered as effective modulators. Repeated experiments were conducted in Nuncwhite 96 well plates and measured with the Centro LB 960 (Berthold Technologies) at 1200 ms integration time.
Luciferase reporter gene assay of pGL4 2.3 Luciferase vector containing the human ATXN3 promotor sequence and pTRE2HYG-SREBP1a co-transfection
For the reporter assay N2A cells were seeded in 12 well plates. Cells were transfected 4 h later with Roti-Fect PLUS transfection reagent according to manufacturer’s protocol with 500 ng DNA of the LUC reporter plasmid (pGL4 2.3, Promega) and the pTRE2Hyg-SREBP1a. The co-reporter Renilla Luciferase (pRL-CMV, Promega) was co-transfected at a concentration of 50 ng and was used for normalization. After 4 h, doxycycline-containing media (1:2 × 105) was added to the transfection reaction (ratio 1:1) and incubated overnight. On the next day, doxycycline containing media was changed and SREBP1a expression was induced by doxycycline removal for 2–8 h. Cells were lysed with 400 µl 1 × passive lysis buffer (Promega). For the luciferase and Renilla luciferase assays 40 µl of the cell lysates were transferred to 96 well Nuncwhite plates. The same amount of luciferase- or Renilla luciferase substrate (substrate composition upon request) was added respectively, and measured with the Centro LB 960 (Berthold Technologies) at 1200 ms integration time.
SDS PAGE and western blot analysis
For SDS-PAGE cells were harvested and lysed in RIPA buffer (50 mM TrisCl pH 7.5, 150 mM NaCl, 10 mM MgCl2, 0.5% Triton X 100, 1% SDS) supplemented with Halt Protease Inhibitor-Cocktail (1 × final concentration) (Thermo Fisher Scientific) and 0.5 µl/ml benzonase (Merck) for 30 min on ice. Lysates were mixed with 4 × Laemmli loading buffer (200 mM TrisCl pH 6.8, 8% SDS, 6% β-mercapto-ethanol, 33% glycerol, spatula tip bromophenol blue) to a final concentration of 1 × and boiled for 10 min at 95 °C. Samples were loaded onto 10% SDS-PAGE gels.
Western blot
Proteins were blotted onto methanol activated polyvinylidene difluoride (PVDF) membrane (GE Healthcare, Amersham Hybond), blocked with 0.5% casein PBS (Roth) for 1 h and incubated with respective antibodies ATXN3 (1:1,000, #986) SREBP1 (1:1000, Proteintech 14088-1-AP), beta actin (1:10,000, A5441, Sigma-Aldrich) and HMGCR (1:4000, ABS229, Millipore) primary antibodies overnight at 4 °C. Secondary HRP conjugated anti mouse antibody (1:4000, P0447, Dako) was applied for 1 h at room temperature. Secondary HRP conjugated anti rabbit antibody (1:4000, 7074 V, Cell Signaling Technology) was applied.
Membranes were washed three times with 1xPBS-TWEEN 20 0.1% (PBST 0.1%) and imaged with enhanced chemiluminescence (ECL) in the ChemoCam imager (Intas). Signals were quantified with the ImageJ software36. Treated cells were normalized to actin and DMSO controls, respectively.
Chromatin immunoprecipitation (ChIP)
For ChIP assays, cells were plated in 10 cm dishes and treated the next day with DMSO or 10 µM Simvastatin in a total volume of 10 ml for 1 h. Cells were crosslinked with a final concentration of 0.85% formaldehyde (37% Stock, Sigma). The reaction was stopped after 8 min by adding glycine to a final concentration of 0.125 M. Cells were washed twice with ice cold PBS, scraped from plates and transferred to 15 ml falcon tubes. After centrifugation, the supernatant was removed and 1 ml of cell lysis buffer (10 mM Tris Cl pH 8, 10 mM NaCl, 0.2% NP40 and freshly added protease inhibitor) was added. Cells were lysed on ice for 10 min and centrifuged. Centrifugations were performed at 4 °C for 10 min at 1200 rcf. Supernatant was removed and 0.5 ml nuclei lysis buffer (50 mM Tris Cl pH 8, 10 mM EDTA, 1% SDS and freshly added protease inhibitor) was applied and incubated for 10 min at 4 °C. Samples were diluted with 0.5 ml RIPA buffer (without benzonase and SDS) and sonicated for 10 s in 10 intervals at cycle 2 and 40% power for three rounds with the Bandelin Sonopuls, HD2070, SH70G, type MS72. Chromatin was cleared by centrifugation at 4 °C for 10 min at 13,000 rcf and supernatant was transferred to fresh reaction tubes. To check fragment size, 50 µl of the samples were incubated with 5 µl of 5 M NaCl, 10 mg/ml RNAse (1 h, 37 °C) and 20 mg/ml proteinase K (3 h—o/N, 65 °C). Subsequently, agarose gel electrophoresis was performed to check chromatin size which is best between 200 and 700 bp length.
For ChIP assays, 400 µl of chromatin was diluted with 1 ml RIPA buffer (without benzonase and SDS). We used 2% of the chromatin as input control and added 7 µl (5.25 µg) of SREBP 1 antibody (Proteintech, 14,088–1-AP) for overnight incubation.
The next day, 20 µl Magna ChIP Protein A + G Magnetic Beads (Merck Millipore) were used for the pulldowns or empty controls (beads only) for 1.5 h at 4 °C. Samples were washed with 500 µl of low salt- (0.1% SDS, 1% Triton X-100, 2 mM EDTA, 20 mM Tris HCl pH 8, 150 mM NaCl), high salt- (equal to low salt, except 500 mM NaCl), lithium salt buffer (0.25 M LiCl, 1% NP40, 1% Sodium Deoxycholate, 1 mM EDTA, 10 mM Tris HCl pH 8) and PBS, respectively. Antibody-antigen complexes were eluted by incubation with 200 µl freshly prepared elution buffer (100 mM NaHCO3 and 1% SDS) for 15 min. Input samples were also incubated with 200 µl elution buffer. All samples were incubated with 10 µl 5 M NaCl, 10 mg/ml RNAse (1 h, 37 °C) and 20 mg/ml proteinase K (3 h—o/N, 65 °C) and purified with ChIP-DNA purification kit from Zymo.
Statistics
We used one-way ANOVA (α = 0.05) followed by the recommended Dunnett’s multiple comparison test to check for statistical significance. Significance in Fig. 4B–E, was checked by the recommended unpaired- and two-tailed t-test. All statistical analyses were performed in GraphPad Prism 8.3.0.
Data availability
The datasets used and analysed during the current study are available from the corresponding author on reasonable request.
References
Coutinho, P. & Andrade, C. Autosomal dominant system degeneration in Portuguese families of the Azores Islands. A new genetic disorder involving cerebellar, pyramidal, extrapyramidal and spinal cord motor functions. Neurology 28, 703–709. https://doi.org/10.1212/wnl.28.7.703 (1978).
Kawaguchi, Y. et al. CAG expansions in a novel gene for Machado–Joseph disease at chromosome 14q32.1. Nat.Genet. 8, 221–228. https://doi.org/10.1038/ng1194-221 (1994).
Costa Mdo, C. & Paulson, H. L. Toward understanding Machado–Joseph disease. Prog. Neurobiol. 97, 239–257. https://doi.org/10.1016/j.pneurobio.2011.11.006 (2012).
Paulson, H. L. et al. Intranuclear inclusions of expanded polyglutamine protein in spinocerebellar ataxia type 3. Neuron 19, 333–344. https://doi.org/10.1016/s0896-6273(00)80943-5 (1997).
Bilen, J. & Bonini, N. M. Genome-wide screen for modifiers of ataxin-3 neurodegeneration in Drosophila. PLoS Genet. 3, 1950–1964. https://doi.org/10.1371/journal.pgen.0030177 (2007).
Vo, S. H. et al. Large-scale screen for modifiers of ataxin-3-derived polyglutamine-induced toxicity in Drosophila. PLoS ONE 7, e47452. https://doi.org/10.1371/journal.pone.0047452 (2012).
Ashraf, N. S. et al. Druggable genome screen identifies new regulators of the abundance and toxicity of ATXN3, the Spinocerebellar Ataxia type 3 disease protein. Neurobiol. Dis. 137, 104697. https://doi.org/10.1016/j.nbd.2019.104697 (2020).
Costa, M. D. C. et al. Unbiased screen identifies aripiprazole as a modulator of abundance of the polyglutamine disease protein, ataxin-3. Brain 139, 2891–2908. https://doi.org/10.1093/brain/aww228 (2016).
Fardghassemi, Y., Maios, C. & Parker, J. A. Small molecule rescue of ATXN3 toxicity in C. elegans via TFEB/HLH-30. Neurotherapeutics 18, 1151–1165. https://doi.org/10.1007/s13311-020-00993-5 (2021).
Endo, A., Kuroda, M. & Tanzawa, K. Competitive inhibition of 3-hydroxy-3-methylglutaryl coenzyme A reductase by ML-236A and ML-236B fungal metabolites, having hypocholesterolemic activity. FEBS Lett. 72, 323–326. https://doi.org/10.1016/0014-5793(76)80996-9 (1976).
Brown, M. S. & Goldstein, J. L. The SREBP pathway: Regulation of cholesterol metabolism by proteolysis of a membrane-bound transcription factor. Cell 89, 331–340. https://doi.org/10.1016/s0092-8674(00)80213-5 (1997).
Stahl, F. et al. Activators of alpha synuclein expression identified by reporter cell line-based high throughput drug screen. Sci. Rep. 11, 19857. https://doi.org/10.1038/s41598-021-98841-9 (2021).
Espenshade, P. J. & Hughes, A. L. Regulation of sterol synthesis in eukaryotes. Annu. Rev. Genet. 41, 401–427. https://doi.org/10.1146/annurev.genet.41.110306.130315 (2007).
DeBose-Boyd, R. A. Feedback regulation of cholesterol synthesis: Sterol-accelerated ubiquitination and degradation of HMG CoA reductase. Cell Res. 18, 609–621. https://doi.org/10.1038/cr.2008.61 (2008).
Jiang, S. Y. et al. Discovery of a potent HMG-CoA reductase degrader that eliminates statin-induced reductase accumulation and lowers cholesterol. Nat. Commun. 9, 5138. https://doi.org/10.1038/s41467-018-07590-3 (2018).
Climent, E., Benaiges, D. & Pedro-Botet, J. Hydrophilic or lipophilic statins?. Front. Cardiovasc. Med. 8, 687585. https://doi.org/10.3389/fcvm.2021.687585 (2021).
Sierra, S. et al. Statins as neuroprotectants: A comparative in vitro study of lipophilicity, blood-brain-barrier penetration, lowering of brain cholesterol, and decrease of neuron cell death. J. Alzheimers Dis. 23, 307–318. https://doi.org/10.3233/JAD-2010-101179 (2011).
Schmitt, I., Evert, B. O., Khazneh, H., Klockgether, T. & Wuellner, U. The human MJD gene: Genomic structure and functional characterization of the promoter region. Gene 314, 81–88. https://doi.org/10.1016/s0378-1119(03)00706-6 (2003).
Xie, X., Rigor, P. & Baldi, P. MotifMap: A human genome-wide map of candidate regulatory motif sites. Bioinformatics 25, 167–174. https://doi.org/10.1093/bioinformatics/btn605 (2009).
Kent, W. J. et al. The human genome browser at UCSC. Genome Res 12, 996–1006. https://doi.org/10.1101/gr.229102 (2002).
Rosenbloom, K. R. et al. ENCODE data in the UCSC genome browser: Year 5 update. Nucleic Acids Res. 41, D56-63. https://doi.org/10.1093/nar/gks1172 (2013).
Mathelier, A. et al. JASPAR 2014: An extensively expanded and updated open-access database of transcription factor binding profiles. Nucleic Acids Res. 42, D142-147. https://doi.org/10.1093/nar/gkt997 (2014).
Horton, J. D. et al. Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes. Proc. Natl. Acad. Sci. U S A 100, 12027–12032. https://doi.org/10.1073/pnas.1534923100 (2003).
Hamelin, B. A. & Turgeon, J. Hydrophilicity/lipophilicity: Relevance for the pharmacology and clinical effects of HMG-CoA reductase inhibitors. Trends Pharmacol. Sci. 19, 26–37. https://doi.org/10.1016/s0165-6147(97)01147-4 (1998).
Fracassi, A. et al. Statins and the brain: More than lipid lowering agents?. Curr. Neuropharmacol. 17, 59–83. https://doi.org/10.2174/1570159X15666170703101816 (2019).
Johnson-Anuna, L. N. et al. Chronic administration of statins alters multiple gene expression patterns in mouse cerebral cortex. J. Pharmacol. Exp. Ther. 312, 786–793. https://doi.org/10.1124/jpet.104.075028 (2005).
Thelen, K. M. et al. Brain cholesterol synthesis in mice is affected by high dose of simvastatin but not of pravastatin. J. Pharmacol. Exp. Ther. 316, 1146–1152. https://doi.org/10.1124/jpet.105.094136 (2006).
Toonen, L. J. A. et al. Transcriptional profiling and biomarker identification reveal tissue specific effects of expanded ataxin-3 in a spinocerebellar ataxia type 3 mouse model. Mol. Neurodegener. 13, 31. https://doi.org/10.1186/s13024-018-0261-9 (2018).
Nobrega, C. et al. Restoring brain cholesterol turnover improves autophagy and has therapeutic potential in mouse models of spinocerebellar ataxia. Acta Neuropathol. 138, 837–858. https://doi.org/10.1007/s00401-019-02019-7 (2019).
Boeddrich, A. et al. An arginine/lysine-rich motif is crucial for VCP/p97-mediated modulation of ataxin-3 fibrillogenesis. EMBO J. 25, 1547–1558. https://doi.org/10.1038/sj.emboj.7601043 (2006).
Zhong, X. & Pittman, R. N. Ataxin-3 binds VCP/p97 and regulates retrotranslocation of ERAD substrates. Hum. Mol. Genet. 15, 2409–2420. https://doi.org/10.1093/hmg/ddl164 (2006).
Koch, P. et al. Excitation-induced ataxin-3 aggregation in neurons from patients with Machado–Joseph disease. Nature 480, 543–546. https://doi.org/10.1038/nature10671 (2011).
Labun, K. et al. CHOPCHOP v3: Expanding the CRISPR web toolbox beyond genome editing. Nucleic Acids Res. 47, W171–W174. https://doi.org/10.1093/nar/gkz365 (2019).
Toth, J. I., Datta, S., Athanikar, J. N., Freedman, L. P. & Osborne, T. F. Selective coactivator interactions in gene activation by SREBP-1a and -1c. Mol. Cell. Biol. 24, 8288–8300. https://doi.org/10.1128/MCB.24.18.8288-8300.2004 (2004).
Bustin, S. A. A–Z of Quantitative PCR (International University Line, 2004).
Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nat Methods 9, 671–675. https://doi.org/10.1038/nmeth.2089 (2012).
Acknowledgements
We thank Bernd Evert for helpful scientific discussion and H. Khazneh for excellent technical assistance.
Funding
Open Access funding enabled and organized by Projekt DEAL. The study was funded by Novartis Stiftung für therapeutische Forschung and the DZNE.
Author information
Authors and Affiliations
Contributions
Conceptualization: P.B., U.W., F.S.; Methodology: P.B., I.S., F.S., Software: P.D., F.S. Validation: F.S., Formal Analysis: P.D., F.S., Investigation: P.B., F.S., Resources, P.B., U.W., L.d.B., P.D., I.S., Writing: Original Draft, P.B., U.W., L.d.B., F.S., Visualization: F.S., Supervision: P.B., U.W., Project Administration, L.d.B., Funding Acquisition: P.B., U.W., L.d.B.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Stahl, F., Schmitt, I., Denner, P. et al. High throughput compound screening in neuronal cells identifies statins as activators of ataxin 3 expression. Sci Rep 13, 14911 (2023). https://doi.org/10.1038/s41598-023-41192-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-023-41192-4
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.