Abstract
α-Synuclein (α-Syn) accumulation is a pathological hallmark of Parkinson's disease. Duplications and triplications of SNCA, the gene coding for α-Syn, cause genetic forms of the disease, which suggests that increased α-Syn dosage can drive PD. To identify the proteins that regulate α-Syn, we previously performed a screen of potentially druggable genes that led to the identification of 60 modifiers. Among them, Doublecortin-like kinase 1 (DCLK1), a microtubule binding serine threonine kinase, emerged as a promising target due to its potent effect on α-Syn and potential druggability as a neuron-expressed kinase. In this study, we explore the relationship between DCLK1 and α-Syn in human cellular and mouse models of PD. First, we show that DCLK1 regulates α-Syn levels post-transcriptionally. Second, we demonstrate that knockdown of Dclk1 reduces phosphorylated species of α-Syn and α-Syn-induced neurotoxicity in the SNc in two distinct mouse models of synucleinopathy. Last, silencing DCLK1 in human neurons derived from individuals with SNCA triplications reduces phosphorylated and total α-Syn, thereby highlighting DCLK1 as a potential therapeutic target to reduce pathological α-Syn in disease.
SIGNIFICANCE STATEMENT DCLK1 regulates α-Syn protein levels, and Dclk1 knockdown rescues α-Syn toxicity in mice. This study provides evidence for a novel function for DCLK1 in the mature brain, and for its potential as a new therapeutic target for synucleinopathies.
Keywords: α-synuclein, DCLK1, disease models, protein levels
Introduction
Parkinson's disease (PD) is a common neurodegenerative condition affecting ∼6.1 million people worldwide (Dorsey and Elbaz, 2018). PD is characterized by the death of the dopaminergic neurons of the SNc and the accumulation of the presynaptic protein α-Synuclein (α-Syn) (Spillantini et al., 1998; Burré et al., 2018). Although the pathogenic mechanism(s) of PD remain(s) elusive, there is evidence that suggests that increased α-Syn levels can drive PD. First, humans with duplications and triplications of the SNCA locus (encoding α-Syn) develop autosomal dominant PD (Singleton et al., 2003; Chartier-Harlin et al., 2004; Ibáñez et al., 2004). Importantly, α-Syn levels correlate with the severity of symptoms (Devine et al., 2011). Second, some single nucleotide polymorphisms in regulatory regions of SNCA increase PD risk and SNCA transcript levels (Soldner et al., 2016). Third, the effect of drugs on SNCA transcript load directly correlates with PD risk at the epidemiological level (Mittal et al., 2017). Furthermore, haploinsufficiency in GBA1 increases PD risk due to defects in the lysosomal clearance of α-Syn (Mazzulli et al., 2011). Despite this, only a few regulators of α-Syn levels have been identified previously. These include transcriptional regulators (ZSCAN21, ZSCAN219, GATA-1, and GATA-2) (Scherzer et al., 2008; Clough et al., 2009; Dermentzaki et al., 2016; Lassot et al., 2018) as well as a handful of post-translational regulators, such as Polo-like kinase 2 (Oueslati et al., 2013), NEDD4 (Tofaris et al., 2011), USP9X (Rott et al., 2011), and TRIM28 (Rousseaux et al., 2016). How well most of these modulators would serve as therapeutic targets remains an open question. NEDD4 and USP9X have not been tested in vivo, and the beneficial effect of PLK2 requires increasing its kinase activity, which is pharmacologically challenging. To address the scarcity in modulators of α-Syn levels, we performed an shRNA screen on 7787 potentially druggable genes (Rousseaux et al., 2018), and identified 60 new regulators of α-Syn levels. We selected 10 for further verification in human neurons and in the mouse brain. Doublecortin-like kinase 1 (DCLK1) emerged as the most promising regulator because it is a neuron expressed kinase, and it was also identified in a separate orthogonal siRNA screen targeting the kinome (Rousseaux et al., 2016).
DCLK1 was originally discovered based on its homology to Doublecortin (DCX) (Burgess et al., 1999; Silverman et al., 1999), a gene essential for cortical development and whose mutations lead to subcortical band heterotopia (des Portes et al., 1998; Gleeson et al., 1999; Horesh et al., 1999). Further studies since then have revealed that the DCLK1 protein is localized to the somatodendritic compartment (Shin et al., 2013) and is composed of a microtubule binding segment (DCX domains) and a serine threonine kinase domain separated by a PEST-rich sequence (Patel et al., 2016). The DCX domains allow DCLK1 to bind and polymerize microtubules (Lin et al., 2000), and to guide kinesin 3-coated vesicles to the dendritic compartment (Lipka et al., 2016). The function of the kinase domain is less well characterized. MAP7D1, a microtubule binding protein, DCX, and DCLK1 itself are the only known phosphorylation targets of DCLK1 (Koizumi et al., 2017). Additionally, little is known about the function of DCLK1 in the adult brain.
We decided to pursue the mechanism by which DCLK1 regulates α-Syn levels and determine the effect of Dclk1 knockdown in mouse models of synucleinopathy. We found that DCLK1 regulates α-Syn protein levels through its kinase domain independently of its catalytic activity, and that Dclk1 knockdown reduces phosphorylated species of α-Syn (pS129) (Fujiwara et al., 2002) in the Thy1-α-Syn-“Line 61” (Rockenstein et al., 2002) model of synucleinopathy and α-Syn-induced dopaminergic neuron toxicity in an adeno-associated virus (AAV)-mediated SNCA overexpression mouse model. Moreover, DCLK1 knockdown reduces α-Syn levels in SNCA triplication patient neurons. Thus, we reveal an important function of DCLK1 in the adult brain, and highlight its important role regulating α-Syn levels.
Materials and Methods
Protein extraction, SDS-PAGE, and Western blotting for measuring protein levels
Protein extraction.
To extract protein from AAV-injected brains, we dissected and flash frozen (in liquid nitrogen) the posterior cortex and hippocampus from mice anesthetized at 3 weeks old (WT mice) or 2 months old (transgenic mice). Frozen tissue was thawed on ice and ground using a motor-powered pestle in 1× PEPI buffer (5 mm EDTA, PBS, 10 ml/g) supplemented with protease and phosphatase inhibitors (1× GenDEPOT, P3100-100, P3200-020); 125 μl of the homogenate was saved for RNA extraction (see RNA extraction and qPCR), the rest was mixed 1:1 with 2× RIPA (100 mm Tris, pH 7.5, 300 mm NaCl, 0.2% SDS, 1% sodium deoxycholate; 2% NP-40, 10 mm EDTA, pH 8.0) buffer-containing protease and phosphatase inhibitors (1×). The lysates were then vortexed and incubated on ice for 20 min, before being spun down at 13,000 rpm for 20 min.
SDS-PAGE and Western blotting.
Protein samples were loaded on either 10- or 15-well Nupage 4%–12% Bis-Tris gels (Invitrogen, NP0335BOX,NP0336BOX), or 17-well BOLT 4%–12% Bis-Tris gels (NW04127BOX). Gels were run in MES buffer (50 mm MES, 50 mm Tris base, 0.1% SDS,1 mm EDTA, pH 7.3), and proteins were then transferred onto Protran Premium NC Nitrocellulose membranes (0.2 μm pore, GE Healthcare, 45004004) in Tris glycine buffer (25 mm Tris, 190 mm glycine) supplemented with 10% methanol at 0.34 amps for 1 h.
After being transferred, membranes were blocked in 5% milk in TBS-T for 1 h and probed with one of the following primary antibodies in 5% milk overnight: anti α-Syn (C20, Santa Cruz Biotechnology, sc-7011-R, RRID:AB_2192953) 1/500, anti-human α-Syn (MJFR1, Abcam, ab13850, RRID:AB_2537217) 1/1000, anti-α Syn (Clone 42, BD Biosciences, 610787, RRID:AB_398108) 1/2000, anti-pS129 α-Syn (Abcam, ab51253, RRID:AB_869973) 1/500, anti-Dclk1 (Abcam, ab31704, RRID:AB_873537) 1/500, anti-βIII tubulin (Millipore Sigma, T8578, RRID:AB_1841228) 1/10000, anti-vinculin (Millipore Sigma, V9131, RRID:AB_477629) 1/10000, anti-Flag (M2, Millipore Sigma, F1804, RRID:AB_262044) 1/1000, anti-APP (22C11, Millipore, MAB348, RRID:AB_94882) 1/2000, and anti-Tau (Dako, A0024, RRID:AB_10013724) 1/5000. The next day, membranes were probed with secondary antibodies for 1 h. For chemiluminescent Western blotting, donkey anti-mouse HRP-conjugated antibody (Jackson ImmunoResearch Laboratories, 715-035-150, RRID:AB_2340770) or goat anti-rabbit HRP-conjugated antibody (Bio-Rad, 170-5046, RRID:AB_11125757) were used 1/10,000 in 5% milk. For fluorescent Western blotting, IRDye 680RD goat anti-rabbit IgG (LI-COR Biosciences, 926-6807, RRID:AB_10956166) or IRDye 800CW goat anti-mouse IgG (LI-COR Biosciences, 926-32210, RRID:AB_621842) were diluted 1/10,000 in LI-COR Odyssey TBS blocking buffer (927-50003). The membranes were imaged on an Imager 600 (GE Healthcare, 29083461) using the ECL Prime Reagent (GE Healthcare, 45010090) for chemiluminescence or on an Odyssey imager for fluorescent blots (LI-COR Biosciences). All Western blot data were quantified using ImageStudioLite (LI-COR Biosciences).
RNA extraction and cDNA production
We used PEPI buffer to homogenize the tissue (see Protein extraction). RNA from mouse brain was then extracted using TRIzol (Invitrogen, catalog #15596-026), and total RNA was purified using the miRNeasy micro kit (QIAGEN, 217004) according to the manufacturer's instructions. cDNA was generated using the QuantiTect Reverse Transcription Kit (QIAGEN, 205313) according to the manufacturer's instructions.
qPCR
qPCR was performed with PowerUp SYBR Master Mix (Thermo Fisher Scientific, A25777) on a Bio-Rad CFX96 instrument. Dclk1 primers specific for exon junctions of either the full-length, kinase domain, or total transcripts (see below); 10 ng of cDNA was used in technical triplicate for each primer pair. The average dCt was calculated from biological triplicate values, and the relative abundance of the measured transcripts was determined using the ddCT method (Pfaffl, 2001). For all experiments in mice, Ppia (see below) was used to normalize ddCT values (Kim et al., 2014). For all experiments in human neurons, TUBB3 (a well-known marker of neurons) (Latremoliere et al., 2018) was used to normalize ddCT values.
Mouse primers are as follows: Dclk1 All transcripts forward: 5′-CTGGGTTAATGATGATGGTCTCC-3′; Dclk1 all transcripts reverse: 5′-ACAGAAACTCCTGCTGCAGT-3′; Dclk1 full-length forward: 5′-TCCTTCGAGCAGGTTCTCAC-3′; Dclk1 full-length reverse: 5′-GAAGGCACATCACCTGCTTC-3′; Dclk1 kinase domain forward: 5′-GAAGTTAATGGAACCCCTGGTAG-3′; Dclk1 kinase domain reverse: 5′-GAGAGATCCTCTGCTTCCGC-3′; Snca forward: 5′-GTGACAACAGTGGCTGAGAAGAC-3′; Snca reverse: 5′-GGTACCCCTCCTCACCCTTG-3′; Ppia forward: 5′-GCATACAGGTCCTGGCATCT-3′; Ppia reverse: 5′-CCATCCAGCCATTCAGTCTT-3′.
Human primers are as follows: SNCA forward: 5′-TGTTCTCTATGTAGGCTCCA-3′; SNCA reverse: 5′-ACTTGCTCTTTGGTCTTCTC-3′; TUBB3 forward: 5′-ATCAGTGATGAGCATGGCA-3′; TUBB3 reverse: 5′-ACTTGTGAGAAGAGGCCTC-3′.
Immunoprecipitation
In vivo immunoprecipitation (IP).
For in vivo IP, mice of both sexes were anesthetized with isoflurane. After anesthesia, cervical dislocation was performed, and the brain was dissected out of the skull. The brain was then cut in half and flash frozen in liquid nitrogen. Each brain half was lysed in NETT (170 mm NaCl, 1 mm EDTA, 50 mm Tris, pH 7.4, 0.5% Triton X-100) buffer with protease and phosphatase inhibitors using Dounce homogenizers. The lysates were then incubated on ice for 20 min and spun down at 13,000 rpm for 20 min at 4°C; 50 μl of cleared lysate was kept for input; 400 μl of each lysate was conjugated with either normal rabbit IgG (Millipore, 12-370, RRID:AB_145841) or DCLK1 antibody (Abcam, ab31704, RRID:AB_873537) for 2 h. Meanwhile, 30 μl of Protein A Dynabeads (Invitrogen, 100-02D) were washed 3 times in 500 μl of NETT buffer. Each lysate/antibody complex was then added to the beads and incubated for 30 min at 4°C. The beads were then washed 5 times with 1 ml of NETT buffer, and the samples were resuspended and eluted in the same NETN:Laemmli buffer mixture as described above. The samples were loaded onto an SDS-PAGE gel as described above.
IP in cells.
For experiments in cells, HEK293T cells (ATCC, CRL-3216) were seeded on 6-well dishes at 500,000 cells/well (Corning, 08-772-1B). The next day, the cells were transfected with 250 ng of either empty vector or DCLK1-3XFlag using MIRUS TransIT-293 reagent (MIR 2706) according to the manufacturer's instructions. At 48 h after transfection, 10 μl of Protein A Dynabeads (Invitrogen, 100-02D) per sample was washed 3 times in NETT buffer supplemented with 1× protease and phosphatase inhibitor cocktails (Genedepot, P3100-100, P3200-020). They were then incubated with 1 μg of either anti-α-Syn rabbit polyclonal (C-20, Santa Cruz Biotechnology, sc-7011-R, RRID:AB_2192953) or normal rabbit IgG (Millipore, 12–370, RRID:AB_145841) for 2 h at 4°C. The beads were then washed 3 times. During the antibody-bead conjugation, cells were resuspended in PBS and spun down at 5000 rpm for 5 min. The cell pellet was gently resuspended in NETT buffer supplemented with protease and phosphatase inhibitors and incubated on ice for 20 min. Meanwhile, the beads were washed 3 times in NETT buffer. The protein lysates were then spun down at 13,000 rpm for 20 min at 4°C; 50 μl (5%) of cell lysate were kept for input, and each cell lysate was then added to 10 μl of conjugated beads. The samples were then incubated for 30 min at 4°C. The beads were washed 5 times in 1 ml of NETT buffer, and the washed samples were eluted in a 1:1 mix of NETT buffer, and 2× Laemmli sample buffer at 85°C for 10 min, spun down for 30 s at 13,000 rpm, and loaded onto an SDS-PAGE gel as described above.
In vitro kinase assay
This assay was performed in a similar way to what was described by Bondar et al. (2018). Full-length human SNCA DNA was cloned into a pDEST15 vector (GST-tagged, Invitrogen,11802014) and transformed into BL21AI (Invitrogen, C607003). GST-α-Syn were purified through a GST column. Briefly, 5 μg of recombinant α-Syn was incubated with 250 ng of active DCLK1 (SignalChem, D14-10G-10) for 1 h at 30°C in kinase buffer (50 mm PO4, pH 7.4, 150 mm NaCl, 20 mm MgCl2, 0.1 mg/ml BSA, 1 mm DTT) with phosphatase inhibitor (Roche Diagnostics, 04906837001), 20 mm cold adenosine triphosphate (ATP) (Invitrogen, PV3227) and 1.2 ml of 0.01 mCi/ml 32P ATP (PerkinElmer, BLU502A250UC). The reactions were terminated by adding sample buffer and boiling the sample at 95°C for 10 min. Samples were then run an SDS-PAGE gel as described in SDS-PAGE. The gel was then Coomassie stained (InstantBlue, VWR, 95045-070) for 20 min, and exposed to an X-Ray film (GE Healthcare, 28906845) for 1 h.
Immunofluorescence (IF) and immunohistochemistry
Tissue preparation.
For immunohistochemical experiments, mice were transcardially perfused with PBS followed by 4% PFA. Brains were dissected and fixed in 4% PFA for 2 d, dehydrated for 24 h in 15% sucrose (w/v, in PBS), followed by a 2 d incubation in 30% sucrose solution (in PBS), all at 4°C. The brains were then frozen on dry ice in OCT compound (VWR, 25608-930) and sectioned on a cryostat (Leica Microsystems, CM 3050S). Sections containing the striatum were sectioned at 20 μm, and sections containing the SNc were sectioned at 40 μm. Sections were kept in 1× PBS with 0.02% NaN3 until use.
For IF, tissue was drop fixed in 4% PFA and dehydrated in sucrose solutions in the same way as what was described for IHC sections. All sections for IF were sectioned at 20 μm.
Staining.
Immunohistochemistry was performed as previously described (Rousseaux et al., 2016). Briefly, floating sections were washed 3 times in PBS and then incubated with rabbit anti-TH antibody (EMD Millipore, AB152, RRID:AB_390204), diluted 1/10,000 in PBS supplemented with 5% FBS, 0.3% Triton X-100 overnight at 4°C. Afterward, the sections were washed 3 more times and stained with the VECTASTAIN Elite ABC HRP Kit (peroxidase, rabbit IgG; Vector Laboratories, PK-6101) according to the manufacturer's instructions. We then used the DAB Peroxidase (HRP) Substrate Kit (with nickel), DAB (Vector Laboratories, SK-4100) to develop the sections. Sections were mounted on Superfrost Plus slides (Thermo Fisher Scientific, 22-037-246) and dried at room temperature. Slides were then dehydrated by incubating them in the following series of solutions: PBS, H2O, 70% ethanol, 95% ethanol, 100% ethanol, and xylene, before mounting coverslips using Richard-Allan Scientific Cytoseal XYL (Thermo Fisher Scientific, 8312-4).
IF was performed as previously described (Rousseaux et al., 2016). Briefly, floating sections were washed 3 times in PBS, and then incubated with one or two of the following antibodies: mouse anti-α-Syn clone 42 (BD Biosciences, 610787, RRID:AB_398108) 1/500 (recognizes human and mouse α-Syn), rat anti-human α-Syn 15G7 (Enzo, ALX-804-258-L001, RRID:AB_2050691) 1/250, phospho-α-Syn (Ser129) (D1R1R) rabbit mAb (CST, 23706S, RRID:AB_2798868) 1/500, rabbit polyclonal anti-Dclk1 1/500 (Abcam, ab31704), mouse anti-Neurofilament-M (NF-M; RMO, 14.9, 1/1000) (CST, 2838, RRID:AB_561191), mouse anti-synaptophysin (7H12, 1/1000) (CST, 9020, RRID:AB_2631095), or mouse anti-Tyrosine Hydroxylase (anti-TH) 1/10,000 (Immunostar, 22941, RRID:AB_572268) diluted in PBS supplemented with 5% FBS, 0.3% Triton X-100 overnight at 4°C. The next day, sections were washed 3 times in PBS before being incubated with one of the following antibodies diluted in the same solution used for the primary antibody: Invitrogen goat anti-mouse IgG (H+L) AlexaFluor-488 (A-11001, RRID:AB_2534069), goat anti-rabbit IgG (H+L) AlexaFluor-555 (A-21428, RRID:AB_2535849), or goat anti-rat IgG (H+L), AlexaFluor-555 (A-21434, RRID:AB_2535855), goat anti-mouse IgG (H+L) highly cross-adsorbed secondary antibody, AlexaFluor-Plus 555 (A32727, RRID:AB_2633276), and goat anti-mouse IgG (H+L) highly cross-adsorbed secondary antibody, AlexaFluor Plus-647 (A32728, RRID:AB_2633277). Sections were then washed 3 more times in PBS and mounted using ProLong Gold Antifade Mountant (Invitrogen, P36930).
Human neuron preparation
IF of human neurons was performed similarly to what was described previously (Jiang et al., 2017). Briefly, human neurons were cultured for 3 weeks. Cells were washed in PBS to remove the media. They were then subjected to a 20 min fixation in 4% PFA and then washed three times with PBS. Finally, we performed a 10 min permeabilization in 0.1% Triton-PBS and 30 min blocking with 5% donkey serum before applying primary antibody. The following primary antibodies were used in human neuron studies: rabbit anti-GABA (Millipore Sigma, A2052-25UL, RRID:AB_477652), mouse anti-VGLUT1 (Millipore Sigma, AMAb91041-100UL, RRID:AB_2665777), rabbit anti-MAP2 (EMD Millipore, AB5622, RRID:AB_91939), and mouse anti-tubulin (Beta III) (EMD Millipore, MAB1637, RRID:AB_2210524). All secondary antibodies were used 1/1000. The rest of the procedure is similar to what is described for IF in mouse brain.
Immunofluorescent imaging
All imaging was performed on a confocal microscope (Leica Microsystems, STED TCS SP8), using LAS X software (Leica Microsystems) to select optimal settings for image capture. All confocal IF images presented in this study were taken with the 63× objective. All YFP images represent fluorescence coming directly from this protein; no anti-YFP immunostaining was performed. Epifluorescent IF images were taken at 20×.
Immunofluorescent quantification
All quantifications were performed using Fiji software (Schindelin et al., 2012). Briefly, Z stacks were loaded onto the software. For quantification of α-Syn fluorescence in the soma, the experimenter selected the brightest YFP-positive cells (marking the cell as infected with AAV) and quantified the mean fluorescent signal of pS129 α-Syn or human α-Syn (555 or 568) and NF-M 647 from each YFP-positive soma in the YFP (488) channel as well as the 568 channel (pS129 α-Syn or human α-Syn). The mean fluorescence values of the fluorophore of interest were normalized to the NF-M signal before comparison. For quantification of α-Syn fluorescence outside of the soma, the experimenter quantified the raw integrated density of fluorescence inside and outside cells in an individual plane of a z stack for the previously mentioned α-Syn species as well as synaptophysin (647). Then the experimenter subtracted the signal emanating from cells, and normalized the α-Syn fluorescence values to those of synaptophysin before comparison between experimental and control conditions. Notably, raw integrated density was selected as this represents the sum of every pixel, and avoids falsely low values attributed to punctate nature of presynaptic protein staining.
To estimate the proportion of cells expressing both α-Syn and Dclk1, the experimenter manually counted cells in sections from 3 animals. The number of cells expressing both markers was divided by the total number of visualized cells. To analyze the colocalization between different α-Syn species and NF-M, YFP, and synaptophysin, the experiment used the colocalization test function of Fiji software. The observed R2 values were then plotted and compared between controls and experimental conditions. The same method was used to calculate the colocalization between Dclk1 and α-Syn in the WT mouse cortex and SNc, as well as for Dclk1 and TH in the SNc.
Stereotaxic injections, stereological counting of dopaminergic neurons, and densitometric measurements of striatal fiber density
Stereotaxic injections.
Stereotaxic injections were performed as previously described (Rousseaux et al., 2016) with some small modifications to the protocol. Briefly, 2-month-old male C57Bl/6J mice were anesthetized, cleaned with antiseptic, and a midline incision was made to expose the skull. Subsequently, a Hamilton needle containing 2 μl of virus was used to deliver virus mixture to the SNc (coordinates from bregma: AP −2.9, ML 1.3, DV −4.2) at 0.2 μl/s rate over 10 min. The virus mixture included either shLuciferase + SNCA-Flag or shDclk1 + SNCA-Flag (3 × 109gc, 1 × 109gc) (see Production of AAV8 section). After the injection was finished, the needle was removed, and the incision was sutured and glued. Animals were housed for 2 months after injections before being euthanized. All surgeries performed in mice were approved by the Institutional Animal Care and Use Committee for Baylor College of Medicine and Affiliates and in accordance with institutional animal protocols.
Stereological counts of dopaminergic neurons.
Stereological counts were performed as previously described (Rousseaux et al., 2016). Briefly, sections from −2.54 to −4 from bregma were selected for staining in intervals of six. IHC for TH was performed as described above. Sections were then coded so that the experimenter was blinded. All IHC for stereology was imaged at 1000×. The representative images were taken using a 20× objective on a Carl Zeiss AXIO observer microscope equipped with a motorized stage (MBF). Optical fractionation was then used to estimate total dopaminergic cell counts in the SNc of each group (Stereo Investigator, MBF). To conduct this method, the experimenter outlined the ipsilateral (injected) and contralateral (not injected) SNc for each section using the software. Then the software automatically generated random windows that sampled each section, and the experimenter counted TH+ cell bodies. The software then estimated the total number of cells using the measured tissue thickness.
Quantification of striatal TH density.
Quantification of striatal TH optical density was performed as previously described (Rousseaux et al., 2016). Briefly, images of the striatum corresponding to the ipsilateral and contralateral sides were captured using the 20× objective (Carl Zeiss, Axio Scan.Z1). Images were then converted to grayscale using an in-house automated Adobe Photoshop CS5 workflow (Automator, Mac OSX). Five regions across each striatal section were sampled and normalized using the negative staining from the corpus callosum. Normalized values across three sections were used to compare groups.
Cell line culture and transfection
Cell culture.
HEK293T cells (ATCC, CRL-3216) were cultured on DMEM (Corning, MT10013CV) supplemented with 10% FBS (Atlanta Biological, S11150), and 1× antibiotic/antimycotic (Invitrogen, 15240062).
Transfection.
Transfection experiments for measurement of protein levels were performed in 24-well plates (Corning, CLS3527-100EA). HEK293T cells were seeded at 50,000 cells/well. They were then transfected with 1 μg of DNA using MIRUS TransIT-293 reagent (MIR 2706) according to the manufacturer's instructions. For IP transfections, see Immunoprecipitation.
Viral transduction
HEK293T cells were seeded in 96-well plates (5000 cells/well) and infected with excess of virus (10 μl of concentrated virus); 24 h later, cells were selected with puromycin (1 μg/μl) for an additional 72 h. The cells were then cultured for at least 10 d in Complete DMEM before experimental use.
siRNA-mediated knockdown
Transient knockdown of Dclk1 was accomplished by transfecting Silencer small interference RNA (siRNA) (32 nm) from Thermo Fisher Scientific (catalog #AM51331, siRNA IDs: 574, and 575) using 0.5 μl of Dharmafect (Dharmacon, T-2001-01) per well in HEK293T cells plated in 24 wells (50,000 cells/well). The cells were cultured in antibiotic free media for 72 h before lysis.
Lysosomal and proteasomal inhibition
To inhibit the lysosomal function in HEK293T cells, cells were treated 18 h before lysis with 100 nm of Bafilomycin A1 (Millipore Sigma, 196000). To inhibit proteasomal function, cells were treated 12 h before lysis with 1000 nm of MG132 (Millipore Sigma, 474790). The efficacy of lysosomal inhibition was assessed by Western blotting with rabbit anti-LC3 (Novus Biologicals, NB100–2220, RRID:AB_10003146). The efficacy of proteasomal inhibition was determined by immunoblotting for poly-ubiquitinated proteins using mouse anti-ubiquitin (P4D1) antibody (CST, 3936, RRID:AB_331292)
Human neuron culture
Generation of human neurons by differentiation of induced pluripotent stem cells (iPSCs).
The derivation and culture of human neurons for short-hairpin RNA (shRNA) knockdown experiments were performed as described previously (Rousseaux et al., 2018). Briefly, we generated and expanded neuronal progenitors from the ND50042 line (SNCA triplication female patient), and from WA09 (H9) embryonic stem cells (ESCs) (WiCell, WAe009-A). We obtained NN0000049 iPSCs from the National Institute of Neurological Disorders and Stroke Human Cell and Data repository (Patient NDS00201, iPSC line ID: ND50040; RUID = NN0000049). We obtained H9 ESCs from Dr. Jean Kim (Baylor College of Medicine) under agreement with WiCell. NPCs were cultured for at least 1 week after thawing (with media changes every 2–3 d). Accutase was then used to passage the NPCs at a density of 15,000 cells per cm2 in 24-well plates coated with Cultrex (Stem Cell Qualified, Reduced Growth Factor BME, Trevigen, # 3434–010-02). Three weeks later, the neurons were infected with pGIPZ lentiviruses carrying shRNA (Dharmacon) at an Multiplicity of infection (MOI) of 20. Six days after infection, the neurons were selected with 1 mg/ml puromycin for 5–6 d. At 14 d after infection, protein was extracted as described in Protein extraction methods.
Direct conversion of iPSCs into human neurons.
SNCA triplication (Patient NDS00201, iPSC line ID: ND34391; RUID = NN0003871) and isogenic control (SNCAWT) iPSCs were generated as previously described (Heman-Ackah et al., 2017). To confirm successful differentiation of each line, a modified version of the direct differentiation protocol described previously by others was used (Thoma et al., 2012; Zhang et al., 2013; Ho et al., 2016). Briefly, 2 × 106 iPSCs suspended as single cells in mTeSR1 basal media (Stem Cell Technologies, 85850) with 10 μm of Y-27632 (Tocris Bioscience, TB1254-GMP) were infected with a modified version of hNGN2-eGFP-Puro plasmid (RRID:Addgene_79823). In this plasmid, which was a gift from Dr. Kristen Brennand (Ho et al., 2016), the puromycin selection cassette was replaced with blasticidin selection, and the GFP fluorescent marker was replaced with mCherry (hNGN2-mCherry-Blast) (Crutcher et al., 2019). The iPSCs were incubated in suspension overnight and moved to Matrigel (Corning, 477343–706)-coated plates on the following day. After several days of expansion and passaging with Accutase (A6964, Millipore Sigma), the iPSCs were plated (0.125 × 106 cells/cm2) in 12-well tissue culture plates coated Cultrex (Stem Cell Qualified, Reduced Growth Factor BME, Trevigen, #3434–010-02). They were then induced using neuronal induction media (NIM-DMEM/F-12:Neurobasal (1:1) with 1× penicillin-streptomycin, 2% B-27 without vitamin A, 1% N-2, 2 mm Glutamax, all from Thermo Fisher Scientific, catalog #A1647801, 21103049, 10378016, 12587010, 17502001, and 35050061, respectively) supplemented with doxycycline (2 μg/ml) (Stem Cell Technologies, 72742), and SMAD inhibitors, 1 μm dorsomorphin (sc-361173, Santa Cruz Biotechnology) and 10 μm SB431542 (S1067, Selleck Chemicals). Two days later, the media was changed to neural differentiation media (NDM-Neurobasal medium with 1× penicillin-streptomycin, 2% B-27 without vitamin A, 2 mm Glutamax) supplemented with 20 ng/ml BDNF, 10 ng/ml GDNF, and 10 ng/ml NT-3 (all three were human animal free peptides from PeproTech, AF-450–02, AF-450–10, and AF-450–03, respectively), 100 μm db-cAMP (sc-201567B, Santa Cruz Biotechnology), and 200 μm ascorbic acid (A8960, Millipore Sigma) supplemented with doxycycline, and 20 μg/ml of blasticidin (ant-bl-05, Invivogen) for selection. Blasticidin selection was performed for 6 d (from day 2 to day 8). The cultures were supplemented with 1 μg/ml laminin (3400–010-02, Travigen) once every 4 d and with Matrigel once every 8 d to prevent detachment. The cells were kept in culture for a total of 30 d. At the end of this period, protein was extracted as described in the protein extraction section of these methods.
Production of vectors for transfection experiments
To express different functional domains of DCLK1 in HEK293T cells, we produced a series of new vectors. All of these vectors are based on a modified pcDNA3 that is compatible with Gateway cloning and encodes a 3′ 3X-Flag tag (Klisch et al., 2017). We obtained human DCLK1 cDNA (RC217050, OriGene) and PCR amplified the full-length DCLK1 (1–2188 bp), PEST-kinase domain (862–1941 bp), and doublecortin domains (169–807 bp) from the original vector. We then used the Gateway BP Clonase II Enzyme mix (11789020, Thermo Fisher Scientific) to transfer these sequences onto the Gateway pDONR221 Vector (12536017, Thermo Fisher Scientific). Finally, each insert was transferred unto our customized pcDNA3–3X-Flag vector using Gateway LR Clonase II Enzyme mix (11791020, Thermo Fisher Scientific). All cloning reactions were performed according to the manufacturer's instructions.
To generate kinase dead forms of full-length, and PEST-kinase domain constructs, we used QuikChange II XL Site-Directed Mutagenesis Kit (200521, Agilent Technologies) to perform an alanine substitution on the catalytic domain of DCLK1 (D511A) (Patel et al., 2016) according to the manufacturer's instructions. To generate kinase domain constructs that lack the PEST sequence (862–1020 bp), we also used site-directed mutagenesis to eliminate this sequence from our PEST-kinase domain constructs.
Production and titering of lentiviruses
Production.
Lentiviruses were made according to what was described previously (Rousseaux et al., 2018). HEK293T cells were seeded so that they were 90% confluency on the day of transfection in 150 mm dishes. They were transfected using MIRUS-TRANS-IT 293 reagent with pGIPz, psPAX2, and pMD2.G (at a 4:3:1 ratio, 45 μg total for 150 mm dish). Media were collected 48 and 72 h later, spun down for 10 min at 4000 rpm at 4°C. The viral media were then filtered using 45 μm PES filters to remove cellular debris before being concentrated 100× overnight using Lenti-X concentrator (Clontech, 631231), according to the manufacturer's instructions.
Titering.
Titering was performed as previously described (Rousseaux et al., 2018). Briefly, HEK293T cells were seeded at 50,000 cells/well in a 24-well plate. The next day, a serial dilution of the virus was made and cells were infected with each dilution. After 4 d of culture, GFP-positive colonies were counted and the viral titers were estimated.
Mouse breeding and p0 intraventricular injections
Swiss Webster (CFW) of both sexes (Charles River, 024), C57Bl/6J (The Jackson Laboratory), and male Thy1-α-Syn (“Line 61”) (Rockenstein et al., 2002) mice were used for p0 intraventricular injections. We will refer to these mice as Thy1-α-Syn here after. We had previously obtained the Thy1-α-Syn and had backcrossed into the C57Bl/6J background (Rousseaux et al., 2016). In all experiments, mice were allowed to breed for 3 d before the male was removed. In the case of experiments using C57Bl/6J mice, FVB foster mothers were used to house the pups after manipulation to avoid maternal cannibalization. In experiments using the Thy1-α-Syn, transgenic females were bred to wild type (WT) males. Because the transgene is on the X chromosome, only the male offspring can be used as females have a larger degree of variability because of X-inactivation. In the case of WT CFW mice, a foster mother was not necessary, and the mice were kept with their mothers after injections. Both sexes were used in this case. All procedures performed in mice were approved by the Institutional Animal Care and Use Committee for Baylor College of Medicine and Affiliates.
Production of Adeno-associated viruses
We used previously generated AAV8 vectors containing either an shRNA against Luciferase (negative control) or against Dclk1 (Rousseaux et al., 2018). Viruses were produced in collaboration with the Baylor College of Medicine Viral Vector core.
P0 AAV injections
Injections were performed as previously described (Kim et al., 2013; Rousseaux et al., 2018). Briefly, shRNA sequences were obtained using the SplashRNA algorithm and cloned into YFP and miR-E containing AAV8 vectors (Fellmann et al., 2013; Pelossof et al., 2017).
Statistical analyses
For all experiments, comparisons of two groups were performed using Student's t test, and comparisons of three or more groups were performed using one-way ANOVA followed by Dunnett's multiple-comparison test. All analyses were conducted using Prism 6 software (GraphPad). All error bars represent the standard error of the mean (SEM).
Results
Dclk1 regulates α-Syn levels post-transcriptionally
We previously used AAV8-mediated intraventricular delivery of shRNAs to knock down Dclk1 in the postnatal brain (posterior cortex and hippocampus) (Fig. 1A) and found that this reduces α-Syn protein (Rousseaux et al., 2018) (Fig. 1B). We used the posterior cortex and hippocampus for these experiments because this region has the highest infection rate using this method (Kim et al., 2013). We hypothesized that Dclk1 regulates the levels of α-Syn post-transcriptionally because the two screens that identified DCLK1 were performed on transgenic cell lines that lack the regulatory elements that control SNCA transcription (Rousseaux et al., 2016, 2018). To test this, we performed qPCR to detect the relative abundance of Snca transcript after Dclk1 knockdown. We did not find any significant difference in Snca transcript after Dclk1 knockdown in the mouse brain (Fig. 1B), confirming that Dclk1 regulates α-Syn protein levels post-transcriptionally. To test whether this modulatory effect is specific to α-Syn, we measured the levels of two other neurodegenerative disease-driving proteins: tau and App. In both cases, Dclk1 knockdown did not alter their protein levels (Fig. 1C). The Dclk1 gene has multiple transcripts that include alternative start sites (Burgess and Reiner, 2002; Deuel et al., 2006; Koizumi et al., 2006). In the adult brain, these transcripts code for either the full-length protein or a shortened form that does not include the DCX domains, herein referred to as the “kinase domain” (Fig. 1D). To determine which forms of Dclk1 are affected by our shRNA, we measured the transcript and protein levels. We found that our shRNA could knock down both the full-length Dclk1 as well as the kinase domain transcripts (Fig. 1E).
The Dclk1 kinase domain, but not its catalytic activity, is required for regulation α-Syn levels
To gain insight into the mechanism by which Dclk1 regulates α-Syn levels, we first asked whether these two proteins reside in similar neuronal compartments. To answer this question, we labeled sections of mouse cortex and SNc with anti-Dclk1 and anti-α-Syn antibodies to visualize neuronal soma (Fig. 2A). We also labeled the substantia nigra pars reticulata (SNr), striatum, and hippocampus to visualize neuronal fibers (dendrites and presynaptic terminals) (Fig. 2B). Finally, we also stained nigral sections with anti-TH antibodies and anti-Dclk1 antibodies to determine directly whether dopaminergic neurons express Dclk1 (Fig. 2C). We found that the majority of neurons (∼80%) in the cortex and the SNc express both α-Syn and Dclk1 (Fig. 2A,D). Moreover, the colocalization of α-Syn and Dclk1 was significantly higher in the soma of cortical neurons than in their corresponding fibers (average fiber R2 = 0.513 vs average soma R2 = 0.701). The difference was also found in the SNc (average SNr fiber R2 = 0.152 vs average SNc soma R2 = 0.403) (Fig. 2A,B,E). It should be noted that the R2 values vary greatly between brain regions, which is possibly due to differences in tissue architecture. Notably, Dclk1 and α-Syn fibers in other regions (striatum, hippocampus) were visibly opposed with little overlap. This pattern of colocalization is not surprising given that, outside of the soma, Dclk1 has been reported to be localized to the dendritic compartment (Shin et al., 2013), and α-Syn has been reported to be localized to the presynaptic compartment (Withers et al., 1997; Kahle et al., 2000; Unni et al., 2010; Burré et al., 2018). Additionally, Dclk1 staining colocalized more strongly with TH staining in dopaminergic neuronal soma (SNc) than in their fibers (SNr) (Fig. 2C,E).
Given that the two proteins exist in the same subcellular location, we next asked whether they could interact. We performed IP of endogenous α-Syn in HEK293T cells transfected with either empty vector or Flag tagged DCLK1 and found that overexpressed DCLK1 immunoprecipitates with endogenous α-Syn in cells. (Fig. 3A). Next, we tested whether this interaction could be detected in vivo. To do so, we immunoprecipitated endogenous Dclk1 and probed for endogenous α-Syn in the brains of WT mice. We found that α-Syn could be detected at long exposures (Fig. 3B). It is worth noting that, while we did detect an endogenous interaction between α-Syn and Dclk1, the amount of endogenous α-Syn that interacted with Dclk1 was very small. These data suggest that the two proteins may interact.
Since Dclk1 and α-Syn can interact (albeit weakly) and coexist in the soma of neurons, and Dclk1 is a protein kinase, we next asked whether DCLK1 can directly phosphorylate α-Syn. To test this, we performed an in vitro kinase assay. We found that active DCLK1 is capable of autophosphorylation, but it does not phosphorylate recombinant GST-α-Syn. In contrast, c-Abl, a known α-Syn kinase (Mahul-Mellier et al., 2014; Brahmachari et al., 2016) phosphorylates α-Syn (Fig. 3C). This result suggests that Dclk1 may not directly phosphorylate α-Syn. This is perhaps not surprising as α-Syn lacks the proposed consensus motif for Dclk1 (R-R-X-X-S*/T*) (Shang et al., 2003; Koizumi et al., 2017).
We next determined whether the kinase activity of DCLK1 is required for its effect on α-Syn levels. To answer this question, we performed shRNA-mediated knockdown of endogenous DCLK1 in HEK293T cells and tested whether overexpression of shRNA-resistant Flag-tagged constructs containing WT DCLK1 or catalytically dead (DCLK1-D511A) (Fig. 4A) could rescue the effect on α-Syn levels. We found that both forms of DCLK1 were able to rescue the decrease in α-Syn levels seen upon DCLK1 knockdown (Fig. 4B). Additionally, both WT and catalytically dead kinase domain had the same effect on α-Syn levels, regardless of the presence or absence of the PEST sequence (Fig. 4C,D). Conversely, the DCX domains alone failed to change α-Syn levels (Fig. 4E). Together, these data suggest that DCLK1 regulates α-Syn levels via its kinase domain, but that this effect is not dependent on its kinase activity.
Knockdown of DCLK1 reduces α-Syn levels via lysosomal degradation in cells
To elucidate how the binding of DCLK1 affects α-Syn protein levels, we asked whether DCLK1 protects α-Syn protein from lysosomal or proteasomal degradation. To test this, we transiently knocked down DCLK1 in HEK293T cells with siRNAs and added either inhibitors of lysosomal function (Bafilomycin A1) or proteasomal function (MG132; Fig. 5A–C). We found that only exposure to Bafilomycin A1 selectively mitigated the effect of siDCLK1 on α-Syn protein levels (Fig. 5B), whereas proteasomal inhibition had no effect (Fig. 5C). This is consistent with reports indicating that the primary mode of α-Syn degradation is lysosomal (Cuervo et al., 2004; Lee et al., 2004; Vogiatzi et al., 2008; Tofaris et al., 2011; Oueslati et al., 2013).
Dclk1 knockdown preferentially affects the levels of pS129-α-Syn in transgenic mice and ameliorates toxicity in an AAV-mediated mouse model
After initially focusing on the mechanism of regulation of endogenous α-Syn by Dclk1 in the WT context, we next tested whether this translates to the context of disease, in which pathogenic species α-Syn are increased and drive toxicity. To capture the full spectrum of synucleinopathy phenotypes, we used two models to test whether Dclk1 inhibition would prove beneficial. First, to test the effect on the levels of pS129-α-Syn, we used the Thy1-α-Syn “Line 61” (Rockenstein et al., 2002) mouse model of PD, henceforth referred to as Thy1-α-Syn. This line overexpresses WT human SNCA at 10-fold normal levels throughout the brain (Rockenstein et al., 2002; Chesselet et al., 2012). Importantly, pS129 α-Syn is thought to be associated with pathology in humans because it is drastically elevated in the brains of PD patients and in Lewy bodies (Fujiwara et al., 2002; Anderson et al., 2006). To test the effect of Dclk1 loss on α-Syn-induced pathology in mice, we used neonatal intraventricular injection of AAV8 carrying a Dclk1 shRNA for widespread delivery. Because the SNCA transgene is on the X chromosome, we crossed Thy1-α-Syn female mice with WT males, and injected their litters (Fig. 6A). We analyzed male mice due to the mosaicism in females arising from X chromosome inactivation (Disteche and Berletch, 2015). Two months after the injection, we killed the animals, dissected the posterior cortex and hippocampus, and analyzed the different α-Syn species biochemically and histologically. We first performed IF to determine the proportion of cortical neurons infected with our virus. We found that ∼60% of NF-M-positive soma were also positive for YFP (indicating viral infection) (Fig. 6B). Next, we confirmed Dclk1 knockdown in the posterior cortex and hippocampus via Western blot and IF (Fig. 6C,D). We found that Dclk1 knockdown robustly reduces the amount pS129-α-Syn by Western blot (by 33%) (Fig. 6E). However, in the context of 10× overexpression of α-Syn, we did not detect significant changes in human or in total α-Syn by Western blot after Dclk1 knockdown (Fig. 6F). To determine whether this was due to a lack of interaction between mouse Dclk1 and the overexpressed human α-Syn, we pulled down endogenous Dclk1 and blotted for all three α-Syn species. We found that pS129, human, and total α-Syn were all able to interact with Dclk1 (Fig. 6G).
We hypothesized that this preferential effect may be due to the abundant overexpressed α-Syn found at the presynaptic compartment that does not colocalize with Dclk1 (Fig. 2). To test this hypothesis, we first compared the colocalization of pS129 and human α-Syn to the soma and neuronal fibers (for negative controls, see Fig. 7-1). Using synaptophysin as a marker, we found that human α-Syn colocalizes more strongly with neuronal fibers than pS129 α-Syn. In contrast to this result, we found that pS129-α-Syn colocalized more strongly with markers of neuronal soma (NF-M and YFP) than human α-Syn (Fig. 7A). Building on this finding, we measured somatic pS129 and human α-Syn mean fluorescence intensity (normalized to NF-M) in mice injected with either shLuciferase or shDclk1. We found that Dclk1 knockdown reduced both forms of α-Syn in neuronal soma (Fig. 7B,C). Importantly, the observed reduction of pS129 α-Syn was more dramatic than the observed reduction of human α-Syn. Conversely, neither species of α-Syn in neuronal fibers were affected by Dclk1 knockdown (normalized to synaptophysin) (Fig. 7D,E). Together, these results suggest than, in this context, Dclk1 knockdown preferentially reduces somatic species of α-Syn.
We next tested whether Dclk1 knockdown can affect α-Syn-induced neurotoxicity. Since Dclk1 is expressed in nigral neurons (Fig. 2C); and because the Thy1-α-Syn model does not recapitulate the dopaminergic cell loss observed in PD, we used a viral model of α-Syn-induced Parkinsonism (Kirik et al., 2002; Ip et al., 2017). We first verified appropriate viral targeting of the SNc by IF (Fig. 8A), as well as Dclk1 knockdown (Fig. 8B). We also ensured that human α-Syn overexpression caused significant loss of TH-positive dopaminergic neurons in the SNc 2 months after injection (Fig. 8C,D).
Next, we performed unilateral stereotaxic injections into the SNc of WT male mice with a Flag-tagged SNCA cDNA or empty vector together with an shRNA targeting Dclk1 (shRNA) or Luciferase (shLuciferase) control (shDclk1 + empty vector vs shLuciferase + empty vector vs shDclk1 + SNCA vs shLuciferase + SNCA, respectively) (Fig. 9A–D). As has been previously shown (Kirik et al., 2002; Ip et al., 2017), viral overexpression of SNCA resulted in significant loss of TH-positive dopaminergic neurons in the SNc as determined by unbiased stereology (Fig. 9B,D), as well as dopaminergic denervation in the striatum (Fig. 9C,E) compared with the uninjected contralateral side or animals injected with the shRNAs and an empty vector. Importantly, we found that coinjection of shDclk1 with SNCA was able to rescue these phenotypes, but coinjection with shLuciferase was not (Fig. 9B–E). Together, these results suggest that Dclk1 knockdown reduces phosphorylated species of α-Syn and rescues α-Syn-induced dopaminergic neurotoxicity in the SNc in mice.
DCLK1 regulates α-Syn levels in neurons derived from a PD patient
Having shown that Dclk1 interacts with and modulates α-Syn levels, we next asked whether this effect is conserved in a human neuronal model derived from an individual with α-Syn-driven PD. We derived cortical neurons from iPSCs obtained from two clones from a patient with SNCA triplication (Muenter et al., 1998; Singleton et al., 2003), an isogenic control corrected for the mutation, and the H9 line of embryonic stem cells. Using the dual-SMAD inhibition protocol, we first differentiated one of the iPSC clones (RUID:NN0000049, clone 1) as well as H9 ESCs into neural progenitor cells and then to cortical neurons. For the second SNCA triplication clone (RUID: NN0003871) (Heman-Ackah et al., 2017) as well as its isogenic control, we used NGN2-mediated direct neuronal conversion method (Thoma et al., 2012; Zhang et al., 2013; Ho et al., 2016). We first confirmed differentiation by staining for neuronal markers (βIII-tubulin and MAP2), as well as markers of glutamatergic (Vglut1) and GABAergic (GABA) neurons (Fig. 10A,B). Next, we confirmed that neurons from both of these SNCA triplication clones, regardless of the derivation method, carry a twofold increase in SNCA RNA compared with their respective controls (Fig. 10C,D), confirming that these lines are reproducing what would be expected from the genomic duplication. We also observed that both clones contain high levels of pathologically associated pS129 α-Syn species. Surprisingly, we found that total α-Syn protein levels are increased approximately fivefold compared with controls in both differentiation paradigms and using both controls (Fig. 10C,D). Finally, to test the effect of DCLK1 in the context of patient neurons, we performed shRNA-mediated knockdown of DCLK1 in SNCA triplication neurons derived from clone 1 and confirmed that this intervention potently reduces both pS129 α-Syn and total α-Syn (Fig. 10E). Together, these data suggest that DCLK1 is a strong regulator of α-Syn levels in patient neurons.
Discussion
The role of α-Syn in PD and other synucleinopathies has been under intense study since its discovery >30 years ago (Maroteaux et al., 1988; Uéda et al., 1993; Spillantini et al., 1998). Although much has been learned about how α-Syn oligomerizes (Pieri et al., 2016; Bengoa-Vergniory et al., 2017), aggregates (Spillantini et al., 1998), spreads (Luk et al., 2012; Mao et al., 2016; Wong and Krainc, 2017), and causes toxicity (Martin et al., 2006; Devi et al., 2008; Mazzulli et al., 2011), relatively little is known about the molecules that control its protein levels. The fact that duplications and triplications in SNCA cause genetic forms of PD (Singleton et al., 2003; Chartier-Harlin et al., 2004; Ibáñez et al., 2004) further underscores the importance of understanding this regulation. With that in mind, recent efforts by our laboratory have set out to find regulators of α-Syn levels (Rousseaux et al., 2016, 2018). DCLK1 emerged as one of the most promising targets for downstream validation both due to its strong and consistent modulation of endogenous α-Syn levels in two independent screens and because of the potential of its druggability as a brain-resident kinase. In this study, we sought to gain insight into the mechanism of how DCLK1 regulates α-Syn levels. Additionally, we wanted to determine whether the knockdown of DCLK1 would be beneficial in mouse and human genetic models of synucleinopathy.
DCLK1 has been almost exclusively studied in the context of neurodevelopment. In the past, much of the research has focused on the microtubule polymerizing function (Lin et al., 2000) of the doublecortin domains that the protein possesses, how this is necessary for neuronal migration, formation of the corpus callosum (Deuel et al., 2006; Koizumi et al., 2006), and regulation of dendrite maturation (Shin et al., 2013). Apart from phosphorylation of MAP7D1, DCX, and itself (Koizumi et al., 2017), no other function of the kinase domain of this protein has been reported. Moreover, there is currently no evidence that DCLK1 regulates the levels of any of these targets. Our data suggest that DCLK1 regulates α-Syn post-transcriptionally via its kinase domain, independent of its catalytic activity, PEST sequence, and the DCX domains. Additionally, this effect appears to be dependent on lysosomal function. Thus, when DCLK1 is knocked down, α-Syn protein levels decrease due to lysosomal degradation (Fig. 11). It should be noted that a wide variety of noncatalytic functions for kinases have been found previously. They include allosteric regulation of other kinases, and scaffolding for protein complexes (Kung and Jura, 2016). Despite this, how DCLK1 regulates α-Syn levels remains elusive. Importantly, we found that endogenous α-Syn can interact with overexpressed DCLK1. However, the interaction that was observed between endogenous proteins in vivo is very weak. It will be important in the future to further dissect how DCLK1 regulates α-Syn levels. It is possible that DCLK1 acts as a scaffold for another protein that promotes α-Syn stability or that DCLK1 functionally inhibits proteins that target α-Syn to the lysosome.
It is also worth mentioning that, despite equivalent amounts of transfection, the kinase dead versions of DCLK1 seem to be more stable than their WT counterparts. This observation is perhaps not surprising given that mutations in enzymes that reduce activity are often accompanied by an increase in protein stability (Beadle and Shoichet, 2002).
To study the relationship between Dclk1 and α-Syn in the disease context, we turned to animal and cellular models. The first, the Thy1-α-Syn model, overexpresses WT human α-Syn 10-fold throughout the brain. When we knocked down Dclk1 in these mice, we were surprised to find the dramatic reduction specifically in the levels of the pS129 α-Syn, a species of α-Syn associated with pathology in humans with PD (Fujiwara et al., 2002; Arawaka et al., 2006). We found that this is due to the localization of the different species of α-Syn. The transgenic α-Syn in these mice is mostly presynaptic. In contrast pS129 α-Syn is mostly localized to the soma, which explains why in this model of synucleinopathy, pS129 α-Syn is drastically reduced with Dclk1 knockdown despite no apparent change in total α-Syn. Interestingly, we did observe a reduction in total α-Syn after Dclk1 knockdown in the context of the WT mouse brain. Given all of our data, we propose that Dclk1 knockdown reduces the somatic α-Syn in this context as well, which explains why only 18% of α-Syn is affected.
This preferential effect on somatic α-Syn could be an attractive feature of this modulator for therapeutic purposes, as inhibiting the interaction between Dclk1 and α-Syn could preferentially affect the α-Syn that is mislocalized and driving toxicity, while leaving the normal function of α-Syn unaffected. DCLK1 is also an example of how the regulation of protein levels not only depends on the cellular context, but on the context of the subcellular organelle. It should be noted, however, that we did observe a significant decrease in α-Syn levels after DCLK1 knockdown in SNCA triplication patient neurons, which suggests that DCLK1 can regulate α-Syn levels in a disease relevant context, albeit not in the context of massive (10-fold) α-Syn overexpression, such as is the case for the Thy1-α-Syn mice.
It should also be noted that we also discovered that, despite having the expected twofold increase in SNCA transcript dosage, our SNCA triplication patient lines had an approximately fivefold increase in α-Syn protein relative to controls. This finding warrants further study and could indicate that the triplication of SNCA overwhelms the machinery controlling α-Syn protein levels.
To study the functional effects of Dclk1 knockdown in the context of α-Syn-induced neurotoxicity, we used a mouse viral overexpression model in which SNCA is overexpressed in the SNc. We found that Dclk1 knockdown rescues dopaminergic neuron death in this model (Fig. 9). These results highlight the therapeutic potential of targeting this interaction as modulating DCLK1 levels not only changes α-Syn levels but shows a clear functional benefit. Another important question is whether modulating Dclk1 levels in the adult brain is safe. This is especially important because Dclk1 regulates microtubular stability (Lin et al., 2000). Previous attempts to generate Dclk1 KO mice have failed to remove the truncated transcripts coding for the kinase domain because of the large number of unique Dclk1 transcripts in the mouse brain (Deuel et al., 2006; Koizumi et al., 2006). One advantage of our approach is that our shRNA targets all forms of Dclk1, and it circumvents any developmental roles of the gene because the shRNA is delivered postnatally. Importantly, although overexpression of DCLK1 results in microtubule polymerization (Lin et al., 2000), the knockdown or KO of full-length DCLK1 has been shown to affect microtubular stability only in conjunction with knockdown of other members of its protein family (DCX or DCLK2) (Deuel et al., 2006; Koizumi et al., 2006; Shin et al., 2013), which suggests that partial inhibition of Dclk1 may be safe. However, the next logical step is to conditionally knock out all transcripts of Dclk1 in the adult brain to test the safety of removing it in the mature brain in the same way we recently did for Trim28 (Rousseaux et al., 2018).
In this study, we identified a new function in the mature brain for DCLK1. Moreover, we established the feasibility of targeting DCLK1 as a regulator of α-Syn levels, and we reveal that its reduction had the most dramatic effect on the phosphorylated and most toxic form of α-Syn. Because there is ample evidence showing that α-Syn levels can drive disease, lowering DCLK1 levels, in combination with other modulators of α-Syn, is a viable disease-modifying strategy for PD.
Footnotes
This work was supported in part by the Huffington Foundation and the Howard Hughes Medical Institute to H.Y.Z. H.Y.Z. was also supported by UCB Pharma and the Hamill Foundation. M.W.C.R. was supported by Parkinson's Foundation Stanley Fahn Junior Faculty Award Grant PF-JFA-1762. S.M.H.-A. and M.J.A.W. were supported by Cure Parkinson's Trust and John Fell OUP Research Fund. We thank the Gordon and Mary Cain Pediatric Neurology Research Foundation Laboratories for allowing us access to their stereological microscope. The IDDRC Microscopy Core (National Institutes of Health U54 HD083092 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development), the RNA In Situ Hybridization Core at BCM (with expert assistance of Cecilia Ljungberg and funding from National Institutes of Health S100D016167 and U54 HD083092), and Baylor College of Medicine Gene Vector Core were used for this project. We also used the WA09 human ESC line (H9 ESC) derived by Dr. James Thomson and distributed by WiCell Research Institute under SLA agreement. We thank Vitaliy Bondar, Won-Seok Lee, James Orengo, Joseph McInnes, and all members of the H.Y.Z. laboratory for important discussions and critical feedback on the manuscript; and Marie-Françoise Chesselet (UCLA) for the gift of the Thy1-α-Syn-“Line 61” mice, as well as the National Institute of Neurological Disorders and Stroke human and cell data repository for patient iPSCs.
The authors declare no competing financial interests.
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