- Open Access
Loss of Tmem106b is unable to ameliorate frontotemporal dementia-like phenotypes in an AAV mouse model of C9ORF72-repeat induced toxicity
- Alexandra M. Nicholson†1,
- Xiaolai Zhou†1,
- Ralph B. Perkerson1,
- Tammee M. Parsons1,
- Jeannie Chew1,
- Mieu Brooks1,
- Mariely DeJesus-Hernandez1,
- NiCole A. Finch1,
- Billie J. Matchett1,
- Aishe Kurti1,
- Karen R. Jansen-West1,
- Emilie Perkerson1,
- Lillian Daughrity1,
- Monica Castanedes-Casey1,
- Linda Rousseau1,
- Virginia Phillips1,
- Fenghua Hu2,
- Tania F. Gendron1,
- Melissa E. Murray1,
- Dennis W. Dickson1,
- John D. Fryer1,
- Leonard Petrucelli1 and
- Rosa Rademakers1Email authorView ORCID ID profile
© The Author(s). 2018
- Received: 10 May 2018
- Accepted: 11 May 2018
- Published: 31 May 2018
Loss-of-function mutations in progranulin (GRN) and a non-coding (GGGGCC)n hexanucleotide repeat expansions in C9ORF72 are the two most common genetic causes of frontotemporal lobar degeneration with aggregates of TAR DNA binding protein 43 (FTLD-TDP). TMEM106B encodes a type II transmembrane protein with unknown function. Genetic variants in TMEM106B associated with reduced TMEM106B levels have been identified as disease modifiers in individuals with GRN mutations and C9ORF72 expansions. Recently, loss of Tmem106b has been reported to protect the FTLD-like phenotypes in Grn−/− mice. Here, we generated Tmem106b−/− mice and examined whether loss of Tmem106b could rescue FTLD-like phenotypes in an AAV mouse model of C9ORF72-repeat induced toxicity. Our results showed that neither partial nor complete loss of Tmem106b was able to rescue behavioral deficits induced by the expression of (GGGGCC)66 repeats (66R). Loss of Tmem106b also failed to ameliorate 66R-induced RNA foci, dipeptide repeat protein formation and pTDP-43 pathological burden. We further found that complete loss of Tmem106b increased astrogliosis, even in the absence of 66R, and failed to rescue 66R-induced neuronal cell loss, whereas partial loss of Tmem106b significantly rescued the neuronal cell loss but not neuroinflammation induced by 66R. Finally, we showed that overexpression of 66R did not alter expression of Tmem106b and other lysosomal genes in vivo, and subsequent analyses in vitro found that transiently knocking down C9ORF72, but not overexpression of 66R, significantly increased TMEM106B and other lysosomal proteins. In summary, reducing Tmem106b levels failed to rescue FTLD-like phenotypes in a mouse model mimicking the toxic gain-of-functions associated with overexpression of 66R. Combined with the observation that loss of C9ORF72 and not 66R overexpression was associated with increased levels of TMEM106B, this work suggests that the protective TMEM106B haplotype may exert its effect in expansion carriers by counteracting lysosomal dysfunction resulting from a loss of C9ORF72.
Frontotemporal dementia (FTD) is a devastating neurodegenerative disorder with initial symptoms occurring in the fifth or sixth decade of life. While most cases of FTD develop sporadically, 30–50% of FTD cases report a family history [23, 43, 44, 47, 61], in support of a strong genetic component to the disease. Two of the most common gene mutations found to cause FTD reside in the progranulin (GRN) and chromosome 9 open reading frame 72 (C9ORF72) genes [6, 14, 17, 45]. Causative GRN mutations leading to FTD include heterozygous missense, nonsense, or frameshift changes that most often lead to nonsense-mediated decay of the mutant mRNA and an associated loss of progranulin protein (PGRN). Individuals with GRN mutations invariably present with aggregates of the TAR DNA binding protein 43 (TDP-43) in affected brain regions, and are thus pathologically classified as FTLD-TDP [4, 36]. In C9ORF72, a non-coding (GGGGCC)n hexanucleotide repeat expansion is responsible for up to 25% of familial and 5% of sporadic FTD patients [17, 45]. Extensive research has shown that the presence of these expanded repeats leads to multiple pathogenic mechanisms, including a loss of C9ORF72 mRNA expression and toxic gain-of-functions resulting from nuclear RNA aggregates and dipeptide repeats proteins [5, 17, 33, 34, 45]. FTD patients with C9ORF72 expansions also present with FTLD-TDP at autopsy, suggesting a potentially convergent disease mechanism between GRN- and C9ORF72-induced pathogenesis.
In 2010, a genome-wide association study (GWAS) identified genetic variants at the transmembrane protein 106 B (TMEM106B) gene locus as the first genetic modifiers of FTLD-TDP . TMEM106B variants were found to be a modifier of disease risk in FTLD-TDP patients of unknown cause, and a modifier of disease penetrance and presentation in GRN mutation and C9ORF72 expansion carriers [13, 19, 21, 30, 37, 58–60]. Specifically, in C9ORF72 carriers, we showed that individuals who were also homozygous for the minor alleles at the associated TMEM106B variants were significantly protected from developing FTD but not amyotrophic lateral sclerosis (ALS) symptoms [18, 58], another common phenotypic presentation in C9ORF72 expansion carriers.
The TMEM106B protein resides in lysosomal compartments where it might be involved in lysosomal function and/or trafficking [7, 11, 29, 50, 53]. Overexpression of TMEM106B results in abnormal lysosomal size, number, and acidification [7, 11]. Interestingly, recent studies determined that the protective TMEM106B variants are associated with reduced levels of TMEM106B [20, 37, 59], suggesting that lowering TMEM106B might be therapeutic in the context of FTD. In fact, lysosomal deficits observed in Grn knockout mice were recently rescued by loss of Tmem106b expression . In this study, we aimed to examine whether loss of Tmem106b expression was able to rescue FTD-like behavioral and pathological features observed in an adeno-associated virus (AAV)-based mouse model mimicking the toxic gain-of-functions associated with overexpression of (GGGGCC)66 repeats.
Tmem106b knockout mice
Tmem106b knockout mice were generated at the Knockout Mouse Project (KOMP) Repository at the University of California, Davis using the PGS00041_A_C06 targeting vector and blastocyst injection of the targeted embryonic stem cell clone EPD0047_1_E02 generated from C57BL/6 N mice. This knock-in first strategy results in the insertion of a lacZ gene trap between the first two coding exons (exons 3 and 4) of the mouse Tmem106b gene. Cryopreserved sperm were purchased and used to inseminate oocytes obtained from 3-week-old C57BL/6N female mice (Harlan, Indianapolis, IN). Zygotes that reached the 2-cell-stage 24 h post insemination were surgically transferred into foster dams (Harlan). DNA obtained from subsequent pups was screened by multiplex polymerase chain reaction (PCR) for the presence of the NEO cassette before breeding as a colony founder (CSD-Tmem106b-F: 5’-TTCTCTCCATGTGCTGCATTATGAGC-3′; CSD-Neo-F: 5’-GGGATCTCATGCTGGAGTTCTTCG-3′; CDS-Tmem106b-ttR: 5’-ACGTGCTTCTCTCATCTACAGTTTTCC-3′). A Tmem106b+/− x Tmem106+/− breeding scheme was used to generate Tmem106b +/+, +/−, and −/− mice for the experiments. Both male and female mice of each Tmem106b genotype were used for all the experiments. All animal studies were approved by the Mayo Clinic Institutional Animal Care and Use Committee.
Genomic DNA (gDNA) was extracted and PCR-amplified using the Phire Tissue Direct Master Mix kit (Thermo Scientific Inc., Waltham, MA) per the manufacturer’s instructions. Briefly, mouse hair follicles were digested in Dilution Buffer supplemented with DNARelease Additive for 2 min at room temperature, followed by 2 min incubation at 95 °C. Samples were briefly centrifuged and 1 μl of supernatant containing the gDNA was used for each PCR reaction. Tmem106b gene products were amplified using a multiplex PCR approach containing 0.8 μM of each forward primer (CSD-Tmem106b-F and CSD-Neo-F), 0.8 μM of reverse primer (CDS-Tmem106b-ttR), and Phire Tissue Direct PCR Master Mix (Thermo Scientific).
Viral production and injections
Viruses were generated as previously described [12, 22, 54]. Briefly, (GGGGCC)2 (2R) or (GGGGCC)66 (66R) C9ORF72 repeats were cloned into the pAM/CBA-pl-WPRE-BGH vector containing inverted repeats of serotype 2. AAV vectors containing the repeats were packaged into the serotype 9 type capsid by co-transfection with helper plasmids into HEK293T cells. The cells were harvested and lysed 2 days post transfection in the presence of 0.5% sodium deoxycholate and 50 U/ml Benzonase (Sigma Aldrich, St. Louis, MO) by freeze thawing. The virus was isolated using a discontinuous iodixanol gradient, and qPCR was used to determine the genomic titer of each virus. 2R and 66R AAV were diluted to 1E13 genomes/ml in sterile phosphate-buffered saline (PBS) before injection. Mouse pups underwent intracerebroventricular injections with virus at postnatal day 0 (P0) [10, 12, 25]. Pups were cryoanesthetized on ice and their heads were wiped with a sterile alcohol pad. Two microliters of virus were manually injected into each cerebral ventricle using a 32 gauge needle attached to a 10 μl syringe (Hamilton Company, Reno, NV). After injection, pups were warmed on a heating pad and placed back with the dam. All litters were injected within an 8-day timeframe and mice were aged to 12 months before assessing behavior and pathological manifestations. Small subsets of mice were harvested at 3 months of age to study Tmem106b expression and validate the model.
Open field test
Mice were placed in a square, Perspex box (40x40x30cm, LxWxH) containing side-mounted photobeams placed 7.6 cm above the bottom of the box. Mice were allowed to move freely for 15 min, during which locomotor activity and anxiety measurements were taken. The Perspex box was illuminated by a light suspended over the chamber, and an overhead camera and AnyMaze software (Wood Dale, IL) were used to monitor mouse movement, such as time mobile, total distance traveled, and distance traveled in the outer and center zones. Mouse rearing was recorded by breaking of the photobeams.
Conditional fear testing
Each mouse was placed in a sound-reducing chamber containing a grid floor capable of inducing an electric shock. An overhead camera and FreezeFrame software (Actimetrics, Wilmette, IL) were used to measure freezing. The mice were left undisturbed for the first 2 min of the test and baseline freezing was recorded. An 80-dB white noise was then administered for 30 s (conditioned stimulus; CS). During the last 2 s of the CS, a 0.5 mA foot shock was administered to the mouse (unconditioned stimulus; US). After 1 min, a second CS-US pair was given to the mouse and the mouse was removed from the chamber and placed in his/her home cage 30 s later. Each mouse was returned to the testing chamber 24 h later and freezing behavior was recorded for 5 min (context test). All mice were returned to their home cages and transferred to a different room with reduced light for at least 1 h. Contextual cues were changed by altering the environment, shape, and smell of the testing chamber, as well as by covering the chamber floor with opaque plastic. Each mouse was placed back into the test chamber and the auditory stimulus was presented. Freezing was recorded for 3 min (cued test). For both the context and cued tests, baseline freezing time was subtracted from the freezing time obtained during each test.
Social interaction test
Each mouse was placed into a rectangular box subdivided into three chambers. Two larger chambers measured 17 × 40 cm with a smaller chamber of 5 × 40 cm in the middle. The three chambers were connected by an 8 × 5 cm opening to allow the mouse free access to all chambers. Two empty, inverted wire-mesh cylinders were placed in opposite corners of each large chamber. In the first trial, mice were placed in the box and allowed to explore the apparatus freely for 4 min before being placed into a temporary holding cage. Next, a probe mouse (matched for sex/strain) was placed in one of the cylinders for 3 min prior to reintroduction of the test mouse. An overhead camera and Anymaze software (Stoelting Co.) were used to monitor mouse interactions for 10 min. The time each test mouse spent in the area containing the cylinder with the probe mouse was used to determine sociability.
Mice were subjected to carbon dioxide narcosis and body weight was obtained (SCALTEC SBA 53 scale; Denver Instrument, Bohemia, NY) before decapitation. Mouse blood was collected in tubes containing 1.6 mg/ml EDTA and placed on ice. Blood samples were centrifuged at 4 °C for 10 min at 5000 rpm, after which the resulting plasma supernatant was transferred to a new tube for storage at -80 °C until use. The brain was removed and its weight recorded (SCALTEC SBC 32 scale; Denver Instrument) before separating the hemispheres. Whole mouse brains from uninjected mice were either immediately dehydrated and flash frozen in a beaker of isopentane on dry ice or fixed for 24 h at 4 °C in 4% paraformaldehyde (PFA) prepared in PBS. For all injected mice, the left hemisphere was fixed in PFA at 4 °C for 48 h. The right hemisphere was immediately dehydrated and flash frozen in a beaker of isopentane on dry ice. Following PFA fixation, brain tissues were washed and stored in PBS at 4 °C until being embedded in paraffin wax.
Cell culture and transfection
HeLa and U251 cells (ATCC, Manassas, VA) were cultured and maintained in Eagle’s Minimum Essential Medium (EMEM) supplemented with 10% FBS and 1% penicillin/streptavidin. All cell lines were maintained at 37 °C, 5% CO2. For overexpression studies, cells were transiently transfected with pAAV C9ORF72 2R or pAAV C9ORF72 66R using Lipofectamine 2000 (Invitrogen, Carlsbad, CA) by mixing DNAs with the transfection reagent in OptiMEM (Life Technologies, Carlsbad, CA, USA) according to the manufacturer’s protocol. For the siRNA knockdown experiments, HeLa and U251 cells were transfected with 20 nM of either negative control siRNA or siRNAs against human C9ORF72 using Lipofectamine RNAiMAX Reagent (Life Technologies) according the manufacturer’s protocol. The control siRNA (5’-UGGUUUACAUGUCGACUAA-3′, D-001210-05) and human C9ORF72 siRNA (5’-CAUAGAGUGUGUGUUGAUA-3′, J-013341-11) were purchased from Dharmacon (Lafayette, CO). Cells were harvested for protein extraction 48 and 72 h post transfection for overexpression and siRNA experiments, respectively.
RNA and protein extraction
Frozen brain tissue was homogenized by sonication in tris-buffered saline (TBS) containing 2X protease and phosphatase inhibitors (Thermo Scientific). RNA was isolated from 75 μl of brain homogenate using the RNeasy Plus Mini Kit (Qiagen, #74136) according to the manufacturer’s instructions. Briefly, brain tissue was lysed using Buffer RLT containing β-ME, and then passed through the gDNA Eliminator column to remove DNA. The RNA containing flow-through was precipitated by 70% ethanol and passed through an RNeasy pink spin column. RNA was eluted from the column with RNase-free water. Protein was also isolated from 75 μl of brain homogenate by adding and equivalent volume of 2X Radioimmunoprecipitation Assay (RIPA) buffer (Boston BioProducts, Ashland, MA). For cell culture experiments, media was removed and RIPA buffer was added directly to PBS-rinsed cell culture wells. All RIPA samples were incubated on ice and centrifuged at 4 °C for 5 min at 6000 rpm to clear debris. Protein content in brain samples was measured in the supernatant using the bicinchoninic acid (BCA) assay (Thermo Fisher Scientific).
Brain RNA was reverse transcribed using the Superscript III complimentary DNA (cDNA) synthesis kit, random hexamers (Life Technologies), and an equal ratio of random hexamers and Oligo dT primers (Thermo Fisher Scientific). Real-time quantitative PCRs (qPCRs) were conducted using TaqMan gene expression assays and the QuantStudio 7 Flex Real-Time PCR System (Applied Biosystems, Foster City, CA). All probes were purchased from Life Technologies: Tmem106a (Mm01246747_m1), Tmem106b (Mm00510952_m1), Tmem106c (Mm01303550_m1), Iba1 (Aif1; Mm00479862_g1), Gfap (Mm01253033_m1), and Gapdh (Mm99999915_g1).
Protein samples were mixed with an equivalent volume of 2X Novex sample buffer (Life Technologies) supplemented to 5% β-mercaptoethanol. Proteins were denatured by incubating at room temperature for 30 min or by heating at 95 °C for 1–5 min before loading into SDS-polyacrylamide gels (Life Technologies). Proteins were transferred to Immobilon membranes (Millipore, Billerica, MA) and immunoblotted with the primary antibody at 4 °C overnight. The next day, blots were incubated with an HRP-conjugated secondary antibody (Promega, Madison, WI) and bands were detected by enhanced chemiluminescence using Western Lightning Plus-ECL reagents (Perkin Elmer, Waltham, MA). Primary antibodies included: rabbit anti-Tmem106b from Bethyl Laboratories (A303-439A), rabbit anti-Tmem106b generously shared and derived in the lab of Dr. Fenghua Hu, sheep anti-mouse progranulin (AF2557; R&D systems, Minneapolis, MN), goat anti-human progranulin (AF2420; R&D systems, Minneapolis, MN), mouse anti-Gapdh (H86504M; Meridian Life Sciences, Cincinnati, OH), mouse anti-Lamp1 (sc-20,011; Santa Cruz Biotechnology, Dallas, TX), rabbit anti-C9ORF72 (ABN1645; Millipore), mouse anti-HA (clone12CA5; #11583816001; Roche, Indianapolis, IN), and goat anti-Cathepsin-D (clone C-20; sc-6486; Santa Cruz Biotechnology, Dallas, TX). Bands of Western blots were quantified using Image J (NIH, Bethesda, MD).
Poly(GP) protein levels were measured in 10 μg of protein in duplicate from mouse brain lysates using a sandwich immunoassay utilizing MesoScale Discovery (MSD) technology as previously described [12, 22]. Serial dilutions of recombinant (GP)8 were used as a standard curve. Response values were measured using the MSD QUICKPLEX SQ120 and are defined as the intensity of emitted light upon electrochemical stimulation. Each sample’s response value was corrected for background response detected in 2R-injected mouse samples prior to interpolation of poly(GP) levels using the standard curve.
Immunohistochemistry and digital analysis
Paraffin-embedded mouse brain tissues were cut on a sagittal plane at a thickness of 5 μm, deparaffinized with xylene, and rehydrated in a series of ethanol washes. For slides stained with mouse anti-NeuN (ABN78; Millipore) or rabbit anti-pTdp-43 (TIP-PTD-P01; pSer409/410; Cosmo Bio USA, Carlsbad, CA), antigen retrieval was performed by steaming slides for 30 min with distilled water before blocking in 0.03% hydrogen peroxide. Immunostaining of sections was done using a Dako Autostainer and Envision + HRP system (Dako, Carpintaria, CA) per the manufacturer’s instructions. For slides stained with rabbit anti-pTdp-43 (pSer409/410; gift from Dr. Leonard Petrucelli), antigen retrieval was performed by steaming slides for 30 min in sodium citrate buffer (10 mM sodium citrate, pH 6.0 with 0.05% Tween-20) and immunostaining was performed using the VectaStain Elite ABC HRP kit (Vector Laboratories, Burlingame, CA) per the manufacturer’s instructions. All slides were counterstained with hematoxylin, washed in a series of alcohols, and dehydrated in xylene. Glass coverslips were mounted using Cytoseal XYL (Thermo Scientific) and were left to set at room temperature for 48 h before scanning with an Aperio ScanScope AT2 Slide Scanner (Leica Biosystems, Buffalo Grove, IL). ImageScope software (v22.214.171.12429; Leica) was used to annotate the cerebral cortex and motor cortex of NeuN- and pTdp-43-stained slides. A custom-designed algorithm was applied to detect the number of pTdp-43-positive nuclei per area (mm2)  when labeled with the Cosmo antibody. The total number of pTdp-43-positive cells were counted manually for slides stained with the pTdp-43 antibody provided by Dr. Petrucelli.
RNA fluorescence in situ hybridization (FISH)
RNA FISH was performed in fixed mouse brain tissue as done previously [12, 28]. Briefly, paraffin embedded brain sections were deparaffinized in xylene and rehydrated in a series of ethanol solutions. Sections were permeabilized with ice-cold 2% acetone in PBS prepared in DEPC-treated water for 5 min. Sections were then washed twice with DEPC-treated water and dehydrated in a series of ethanol solutions before incubating 30 min at 66 °C in pre-hybridization buffer [50% formamide/2X SSC (MIDSCI, Valley Park, MO), 10% dextran sulfate (Millipore), 2× saline-sodium citrate buffer, 50 mM sodium phosphate buffer, pH 7.0]. A fluorescently labeled locked nucleic acid (LNA) probe (5’-TYE563/CCCCGGCCCCGGCCCC-3′, Exiqon, Inc.; batch number 612968) was diluted to 40 nM in in hybridization buffer (10% dextran sulfate, 50% formamide, 20 ng/μl BSA, 25 mM tRNA, 25 nM EDTA, 2X SSC, 25 mM sodium phosphate buffer) and denatured at 80 °C for 5 min before hybridizing to the tissue for 24 h at 66 °C in a dark, humid chamber. Sections were subsequently washed once with 2X SSC (0.1% Tween-20) at room temperature for 5 min and washed twice with pre-warmed 0.2X SSC at 55 °C for 10 min in the dark. Slides were mounted with Vectashield mounting media containing DAPI (Vector Laboratories). Cortical images of RNA foci were obtained using a Zeiss Axio Imager Z1 fluorescent microscope (Zeiss, Oberkochen, Germany) under 63× magnification and the number of cells containing RNA foci were quantified.
For experiments in which only two groups were compared, significance was measured using a Student’s t-test. For analyses involving more than two groups, GraphPad Prism 5.04 (GraphPad Software) was utilized to perform a one-way ANOVA or two-way ANOVA followed by the Fisher’s LSD post hoc test.
Generation and validation of Tmem106b knockout mice
Tmem106b loss does not reverse abnormal behaviors in mice expressing (GGGGCC)66 repeat
(GGGGCC)66 repeat-induced neuropathology is not rescued by lowering Tmem106b expression
We next assessed the effect of Tmem106b reduction on 66R-induced neuronal loss. As expected, 66R-injected Tmem106b +/+ mice portrayed a significantly reduced number of cells immunoreactive for the neuronal marker, NeuN, as compared to 2R-injected mice (p = 0.016 by Student’s t-test; Fig. 3c). Complete loss of Tmem106b did not modify this phenotype; however, partial reduction of Tmem106b significantly lessened the extent of neuronal loss associated with 66R injection. In fact, 66R-injected Tmem106b +/− cortical NeuN counts were not significantly different from that of 2R-injected animals (p = 0.0512 by Student’s t-test; Fig. 3c, Additional file 1: Figure S6). This was not due to the presence of more NeuN-positive cells present in Tmem106b heterozygous mice given that uninjected Tmem106b +/+, +/−, and −/− mice have comparable NeuN counts (Additional file 1: Figure S5).
We next studied two unique pathologies induced by overexpression of the 66R repeat: RNA foci and dipeptide repeat proteins. Parallel to what was previously reported, RNA foci and poly-glycine/proline dipeptides [poly(GP)] were detected at significant levels in 66R-injected wild-type mice and not 2R-injected mice (Fig. 3d-f). We quantified the percentage of cells containing one or more RNA foci in the cortex of 66R-injected Tmem106b +/+, +/−, and −/− mice. As depicted in Fig. 3e, partial or complete reduction of Tmem106b levels did not significantly change the number of RNA foci-containing cells. Similarly, poly(GP) levels in 66R-injected Tmem106b +/− and −/− mice were similar to that of 66R-injected wild-type mice (Fig. 3f).
C9ORF72 loss increases TMEM106B levels unlike (GGGGCC)66 overexpression
Genetic variants in TMEM106B associated with reduced TMEM106B expression have been shown to significantly protect individuals with either GRN mutations or C9ORF72 repeat expansions from the development of FTD symptoms [13, 19, 21, 30, 37, 58–60]. Moreover, depletion of Tmem106b was recently shown to rescue several disease-relevant phenotypes observed in Grn −/− mice . This study is the first to determine the impact of Tmem106b reduction on C9ORF72-related disease. Contrary to the relative success in the Grn −/− mouse model, we demonstrate that neither partial nor complete loss of Tmem106b is sufficient to rescue the behavioral changes or neuropathological phenotypes that manifest in an AAV-based mouse model of C9ORF72-associated (GGGGCC)n expansions. The (GGGGCC)66-AAV model was chosen as the model system in this study due to the demonstration of various phenotypes associated with C9ORF72 repeat expansions as early as 6 months of age . At the time this study commenced, only two other characterized C9ORF72-repeat expansion mouse models had been generated. Both of these models were created using a bacterial artificial chromosome (BAC) for the expression of the complete  or partial  C9ORF72 coding region with incorporated (GGGGCC) repeats of various lengths. These models successfully demonstrated pathologies directly related to the repeat expansion as early as 4–6 months of age, including RNA foci and the generation of dipeptide repeat proteins. However, in contrast to the (GGGGCC)66-AAV model, many of the key features of C9ORF72-mediated FTD, especially behavioral deficits, neuroinflammation, neuronal loss, and pTdp-43 pathology, were not observed even in aged mice in these models [39, 41]. Since TDP-43 pathology is a common denominator of the human disease populations associated with TMEM106B (FTLD-TDP, GRN-carriers, C9ORF72-carriers and AD patients with TDP-43 pathology ) the selection of a mouse model with pTdp-43 pathology was considered essential. Importantly however, neither the BAC mice nor our (GGGGCC)66-AAV mice recapitulate the loss of C9ORF72 expression consistently observed in human C9ORF72 expansion carriers.
Neuronal loss and neuroinflammation are common features among neurodegenerative disorders. Protective TMEM106B variants were found to associate with increased neuronal gene expression, reduced expression of genes involved in inflammation, and better cognitive performance in healthy aged individuals . However, we did not see a significant improvement in measures of neuroinflammation or behavioral deficits induced by the overexpression of the (GGGGCC)66 repeat when Tmem106b levels were reduced. In fact, (GGGGCC)66-injected Tmem106b knockout mice showed more severe astrogliosis, evidenced by increased Gfap expression, as compared to Tmem106b wild-type or heterozygous mice injected with the expanded repeat. We showed that this was due to increased astrogliosis from Tmem106b loss alone, excluding the possibility that loss of Tmem106b renders mice more sensitive to a C9ORF72 repeat-mediated inflammatory response. Our observation of astrogliosis resulting from loss of Tmem106b alone suggests that Tmem106b plays a unique and potentially necessary role in astrocytes. Tmem106b is a lysosomal resident protein, and loss of Tmem106b has been recently shown to cause lysosomal dysfunctions including lysosomal acidification and trafficking problems [26, 49]. Importantly, dysfunction of lysosomes in multiple diseases, for instance, lysosomal storage disorders has been tightly linked to astroglial activation . Interestingly, activation of the Tmem106b paralog, Tmem106a, was shown to be immunostimulatory in mouse macrophages . As such, our data suggests that TMEM106B might play a novel, reciprocal role in inflammatory modulation. In relation to the neuronal loss, we did observe that partial, but not complete loss of Tmem106b significantly lessened the extent of neuronal loss in the AAV-(GGGGCC)66 injected mice, suggesting that, if pursued, partial TMEM106B reduction may be a more viable avenue for future TMEM106B-related therapeutic approaches in FTD.
Tmem106b levels also had no effect on two other key pathological features observed in the (GGGGCC)66-AAV model: RNA foci and the generation of dipeptide repeat proteins. These data are in line with a previous report that did not find an association between TMEM106B variants and dipeptide repeat pathology in C9ORF72 mutation carriers . Given the strong genetic association of both GRN and C9ORF72 carriers with TMEM106B variants, the lack of association in our Tmem106b model with pathological features that are unique to C9ORF72GGGGCC repeat expansion carriers may not be surprising. Nevertheless, both C9ORF72 and GRN mutation carriers present with TDP-43 pathology at autopsy. Indeed, TMEM106B variants were first discovered as disease modifiers in an FTD cohort comprised of individuals with TDP-43 brain pathology regardless of underlying cause . TMEM106B variants were additionally found to associate with the presence of TDP-43 pathology in other diseases, such as Alzheimer’s disease and hippocampal sclerosis [3, 35, 48]. In fact, the protective TMEM106B variants appeared to correspond with lessened TDP-43 aggregate burden in a preliminary study of eight C9ORF72 mutation carriers . Collectively, these findings suggest that TMEM106B protective variants may reduce one’s risk of developing TDP-43 proteinopathies; however, despite careful analysis with two independent antibodies, we found that reducing Tmem106b levels in (GGGGCC)66-injected mice did not lessen the development of phosphorylated pTdp-43 aggregates in the cortex or hippocampus at 12 months of age.
The inability to ameliorate neuropathological and behavioral deficits through the reduction of Tmem106b in the AAV-(GGGGCC)66 model requires a careful examination of the approaches employed in this study. First, we modelled the protective TMEM106B human haplotype by reducing Tmem106b by approximately 50 or 100%. This seems appropriate since multiple studies have observed lower TMEM106B mRNA levels or a faster TMEM106B protein degradation associated with the TMEM106B protective haplotype [20, 37, 59]. We cannot, however, exclude that the associated variants affect TMEM106B in an unknown fashion, for example as a result of the p.Thr185Ser variant (rs3173615) which alters the protein coding sequence of TMEM106B and is inherited as part of the protective haplotype . It is also possible that the protective TMEM106B haplotype induces a more subtle decrease in TMEM106B than what we modeled in this study or that the N-terminal TMEM106B fragments, which we detected at low levels in knockout animals, may have retained some partial TMEM106B function. Second, we modelled the C9ORF72-associated repeat expansion through the overexpression of (GGGGCC)66 by AAV. This approach importantly results in pTdp-43-positive inclusions as early as 6 months of age ; however, this model may have been too aggressive to reverse the neurodegenerative, neuropathological, and behavioral phenotypes in these mice at 12 months of age. More importantly, our approach only recapitulated the RNA and protein toxic gain-of-function mechanisms associated with the repeat sequence and failed to model the reduction in C9ORF72 transcripts which is now considered and integral part of C9ORF72 disease pathogenesis [1, 17, 45, 56]. Indeed, endogenous C9orf72 levels were unchanged in our 66R mice at 12 months of age.
TMEM106B is a type II lysosomal membrane protein with currently unknown function. Increases in TMEM106B levels have been found to be cytotoxic and are associated with increases in lysosomal size and reduced lysosomal acidification, leading to the disruption of endolysosomal- and autophagic-lysosomal degradation . Recent work undeniably links PGRN to lysosomal biology [24, 31, 64, 65] and, as such, it may not have been surprising that Tmem106b loss reversed some of the Grn knockout-mediated lysosomal enzyme dysregulation . This prompts the question of whether Tmem106b reduction might only confer protection in disease models that portray abnormal lysosomal biology. While lysosomal dysfunction has been implicated in C9ORF72-related pathogenesis, much of the evidence to support this comes from studies investigating the function of the C9ORF72 protein itself and not the (GGGGCC)n repeat expansions [2, 8, 27, 40, 52, 55]. The C9ORF72 protein sequence contains DENN-like domains, making it a part of the DENN protein superfamily which is known to be involved in regulating membrane trafficking and autophagy [32, 63]. Genetic and cell biology studies have shown that C9ORF72 interacts with other DENN domain-containing proteins linked to mTORC1 signaling, whose activity is closely tied to lysosomal function [2, 51, 55, 62]. Specifically, loss of C9ORF72, as seen in human patients carrying C9ORF72 repeat expansions, causes impaired mTORC1 signaling and abnormal lysosome morphology indicative of dysfunction [2, 57]. Thus, it is conceivable that the effect of the protective TMEM106B haplotype in C9ORF72 expansion carriers is to counteract lysosomal dysfunction that results from the loss of C9ORF72 expression. In support of this hypothesis, we showed that reducing C9ORF72 levels in human cell lines significantly increased levels of various lysosomal proteins, including TMEM106B, which is thought to signify lysosomal dysfunction. These types of lysosomal changes were not observed by overexpression of (GGGGCC)66 in cell culture, nor were these changes observed in our AAV-(GGGGCC)66 mouse model.
In summary, we show that reducing the levels of Tmem106b in a mouse model mimicking the toxic gain-of-functions associated with the C9ORF72 (GGGGCC)n repeat expansions is unable to ameliorate key pathological features seen in FTD patients, including pTdp-43 pathology. We further provide support for the growing body of evidence linking the loss of C9ORF72 expression to the pathobiology of C9ORF72, in this case through the induction of lysosomal dysfunction. As such, it will be critically important that further examination of the effects of Tmem106b reduction on C9ORF72 pathobiology be studied in models that include reduction of C9ORF72.
This work is funded in part by a Mayo Clinic Edward C. Kendall Research Fellowship (AN) and a research fellowship from The Bluefield Project to Cure FTD (XZ). Additional funding was obtained by NIH/NINDS grants R35NS097261 (RR), UG3NS0103870 (RR) and P01NS084974 (LP, RR, DWD) and The Bluefield Project to Cure FTD (RR).
RR, AMN and XZ designed the study, oversaw the experiments and drafted the manuscript. JC and AMN injected the AAV virus into Tmem106b mice. RBP, TP, MB, NF, and BM harvested mouse brains and assisted in biochemical, gene expression and genetic analysis of mouse tissues. NF and TP performed and analyzed the cell culture studies. AK, MB and JF performed the mouse behavioral analyses. MC-C, LR, VP, MEM and DD performed the immunohistochemical analyses of mouse brains. MD-H performed FISH analysis to quantify RNA foci burden and LD and TFG performed quantitative analysis of GP levels. LP, KRJ-W and EP generated the AAV virus and FH provided Tmem106b antibody. All authors read and approved the final manuscript.
All animal studies were approved by the Mayo Clinic Institutional Animal Care and Use Committee.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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- Amick J, Ferguson SM (2017) C9orf72: at the intersection of lysosome cell biology and neurodegenerative disease. Traffic 18:267–276. https://doi.org/10.1111/tra.12477 View ArticlePubMedPubMed CentralGoogle Scholar
- Amick J, Roczniak-Ferguson A, Ferguson SM (2016) C9orf72 binds SMCR8, localizes to lysosomes, and regulates mTORC1 signaling. Mol Biol Cell 27:3040–3051. https://doi.org/10.1091/mbc.E16-01-0003 View ArticlePubMedPubMed CentralGoogle Scholar
- Aoki N, Murray ME, Ogaki K, Fujioka S, Rutherford NJ, Rademakers R, Ross OA, Dickson DW (2015) Hippocampal sclerosis in Lewy body disease is a TDP-43 proteinopathy similar to FTLD-TDP type a. Acta Neuropathol 129:53–64. https://doi.org/10.1007/s00401-014-1358-z View ArticlePubMedGoogle Scholar
- Arai T, Hasegawa M, Akiyama H, Ikeda K, Nonaka T, Mori H, Mann D, Tsuchiya K, Yoshida M, Hashizume Y et al (2006) TDP-43 is a component of ubiquitin-positive tau-negative inclusions in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Biochem Biophys Res Commun 351:602–611. https://doi.org/10.1016/j.bbrc.2006.10.093 View ArticlePubMedGoogle Scholar
- Ash PE, Bieniek KF, Gendron TF, Caulfield T, Lin WL, Dejesus-Hernandez M, van Blitterswijk MM, Jansen-West K, Paul JW 3rd, Rademakers R et al (2013) Unconventional translation of C9ORF72 GGGGCC expansion generates insoluble polypeptides specific to c9FTD/ALS. Neuron 77:639–646. https://doi.org/10.1016/j.neuron.2013.02.004 View ArticlePubMedPubMed CentralGoogle Scholar
- Baker M, Mackenzie IR, Pickering-Brown SM, Gass J, Rademakers R, Lindholm C, Snowden J, Adamson J, Sadovnick AD, Rollinson S et al (2006) Mutations in progranulin cause tau-negative frontotemporal dementia linked to chromosome 17. Nature 442:916–919. https://doi.org/10.1038/nature05016 View ArticlePubMedGoogle Scholar
- Brady OA, Zheng Y, Murphy K, Huang M, Hu F (2012) The frontotemporal lobar degeneration risk factor, TMEM106B, regulates lysosomal morphology and function. Hum Mol Genet. https://doi.org/10.1093/hmg/dds475
- Burberry A, Suzuki N, Wang JY, Moccia R, Mordes DA, Stewart MH, Suzuki-Uematsu S, Ghosh S, Singh A, Merkle FT et al (2016) Loss-of-function mutations in the C9ORF72 mouse ortholog cause fatal autoimmune disease. Sci Transl Med 8: 347ra393 Doi https://doi.org/10.1126/scitranslmed.aaf6038
- Cecconi F, Meyer BI (2000) Gene trap: a way to identify novel genes and unravel their biological function. FEBS Lett 480:63–71View ArticlePubMedGoogle Scholar
- Chakrabarty P, Rosario A, Cruz P, Siemienski Z, Ceballos-Diaz C, Crosby K, Jansen K, Borchelt DR, Kim JY, Jankowsky JL et al (2013) Capsid serotype and timing of injection determines AAV transduction in the neonatal mice brain. PLoS One 8:e67680. https://doi.org/10.1371/journal.pone.0067680 View ArticlePubMedPubMed CentralGoogle Scholar
- Chen-Plotkin AS, Unger TL, Gallagher MD, Bill E, Kwong LK, Volpicelli-Daley L, Busch JI, Akle S, Grossman M, Van Deerlin V et al (2012) TMEM106B, the risk gene for frontotemporal dementia, is regulated by the microRNA-132/212 cluster and affects progranulin pathways. J Neurosci 32:11213–11227. https://doi.org/10.1523/JNEUROSCI.0521-12.2012 View ArticlePubMedPubMed CentralGoogle Scholar
- Chew J, Gendron TF, Prudencio M, Sasaguri H, Zhang YJ, Castanedes-Casey M, Lee CW, Jansen-West K, Kurti A, Murray ME et al (2015) Neurodegeneration. C9ORF72 repeat expansions in mice cause TDP-43 pathology, neuronal loss, and behavioral deficits. Science 348:1151–1154. https://doi.org/10.1126/science.aaa9344 View ArticlePubMedPubMed CentralGoogle Scholar
- Cruchaga C, Graff C, Chiang HH, Wang J, Hinrichs AL, Spiegel N, Bertelsen S, Mayo K, Norton JB, Morris JC et al (2011) Association of TMEM106B gene polymorphism with age at onset in Granulin mutation carriers and plasma Granulin protein levels. Arch Neurol. https://doi.org/10.1001/archneurol.2010.350
- Cruts M, Gijselinck I, van der Zee J, Engelborghs S, Wils H, Pirici D, Rademakers R, Vandenberghe R, Dermaut B, Martin JJ et al (2006) Null mutations in progranulin cause ubiquitin-positive frontotemporal dementia linked to chromosome 17q21. Nature 442:920–924. https://doi.org/10.1038/nature05017 View ArticlePubMedGoogle Scholar
- Dai H, Xu D, Su J, Jang J, Chen Y (2015) Transmembrane protein 106a activates mouse peritoneal macrophages via the MAPK and NF-kappaB signaling pathways. Sci Rep 5:12461. https://doi.org/10.1038/srep12461 View ArticlePubMedPubMed CentralGoogle Scholar
- Davidson YS, Barker H, Robinson AC, Thompson JC, Harris J, Troakes C, Smith B, Al-Saraj S, Shaw C, Rollinson S et al (2014) Brain distribution of dipeptide repeat proteins in frontotemporal lobar degeneration and motor neurone disease associated with expansions in C9ORF72. Acta Neuropathol Commun 2:70. https://doi.org/10.1186/2051-5960-2-70 View ArticlePubMedPubMed CentralGoogle Scholar
- DeJesus-Hernandez M, Mackenzie IR, Boeve BF, Boxer AL, Baker M, Rutherford NJ, Nicholson AM, Finch NA, Flynn H, Adamson J et al (2011) Expanded GGGGCC hexanucleotide repeat in noncoding region of C9ORF72 causes chromosome 9p-linked FTD and ALS. Neuron 72:245–256. https://doi.org/10.1016/j.neuron.2011.09.011 View ArticlePubMedPubMed CentralGoogle Scholar
- Deming Y, Cruchaga C (2014) TMEM106B: a strong FTLD disease modifier. Acta Neuropathol 127:419–422. https://doi.org/10.1007/s00401-014-1249-3 View ArticlePubMedPubMed CentralGoogle Scholar
- Finch N, Carrasquillo MM, Baker M, Rutherford NJ, Coppola G, Dejesus-Hernandez M, Crook R, Hunter T, Ghidoni R, Benussi L et al (2011) TMEM106B regulates progranulin levels and the penetrance of FTLD in GRN mutation carriers. Neurology 76:467–474. https://doi.org/10.1212/WNL.0b013e31820a0e3b View ArticlePubMedGoogle Scholar
- Gallagher MD, Posavi M, Huang P, Unger TL, Berlyand Y, Gruenewald AL, Chesi A, Manduchi E, Wells AD, Grant SF et al (2017a) A dementia-associated risk variant near TMEM106B alters chromatin architecture and gene expression. Am J Hum Genet 101:643–663. https://doi.org/10.1016/j.ajhg.2017.09.004 View ArticlePubMedPubMed CentralGoogle Scholar
- Gallagher MD, Suh E, Grossman M, Elman L, McCluskey L, Van Swieten JC, Al-Sarraj S, Neumann M, Gelpi E, Ghetti B et al (2014) TMEM106B is a genetic modifier of frontotemporal lobar degeneration with C9orf72 hexanucleotide repeat expansions. Acta Neuropathol 127:407–418. https://doi.org/10.1007/s00401-013-1239-x View ArticlePubMedPubMed CentralGoogle Scholar
- Gendron TF, Bieniek KF, Zhang YJ, Jansen-West K, Ash PE, Caulfield T, Daughrity L, Dunmore JH, Castanedes-Casey M, Chew J et al (2013) Antisense transcripts of the expanded C9ORF72 hexanucleotide repeat form nuclear RNA foci and undergo repeat-associated non-ATG translation in c9FTD/ALS. Acta Neuropathol 126:829–844. https://doi.org/10.1007/s00401-013-1192-8 View ArticlePubMedPubMed CentralGoogle Scholar
- Goldman JS, Farmer JM, Wood EM, Johnson JK, Boxer A, Neuhaus J, Lomen-Hoerth C, Wilhelmsen KC, Lee VM, Grossman M et al (2005) Comparison of family histories in FTLD subtypes and related tauopathies. Neurology 65:1817–1819. https://doi.org/10.1212/01.wnl.0000187068.92184.63 View ArticlePubMedGoogle Scholar
- Holler CJ, Taylor G, Deng Q, Kukar T (2017) Intracellular proteolysis of Progranulin generates stable, lysosomal Granulins that are Haploinsufficient in patients with frontotemporal dementia caused by GRN mutations. eNeuro 4. https://doi.org/10.1523/ENEURO.0100-17.2017
- Kim JY, Grunke SD, Levites Y, Golde TE, Jankowsky JL (2014) Intracerebroventricular viral injection of the neonatal mouse brain for persistent and widespread neuronal transduction. J Vis Exp 51863. https://doi.org/10.3791/51863
- Klein ZA, Takahashi H, Ma M, Stagi M, Zhou M, Lam TT, Strittmatter SM (2017) Loss of TMEM106B ameliorates lysosomal and frontotemporal dementia-related phenotypes in Progranulin-deficient mice. Neuron 95(281–296):e286. https://doi.org/10.1016/j.neuron.2017.06.026 View ArticleGoogle Scholar
- Koppers M, Blokhuis AM, Westeneng HJ, Terpstra ML, Zundel CA, Vieira de Sa R, Schellevis RD, Waite AJ, Blake DJ, Veldink JH et al (2015) C9orf72 ablation in mice does not cause motor neuron degeneration or motor deficits. Ann Neurol 78:426–438. https://doi.org/10.1002/ana.24453 View ArticlePubMedPubMed CentralGoogle Scholar
- Lagier-Tourenne C, Baughn M, Rigo F, Sun S, Liu P, Li HR, Jiang J, Watt AT, Chun S, Katz M et al (2013) Targeted degradation of sense and antisense C9orf72 RNA foci as therapy for ALS and frontotemporal degeneration. Proc Natl Acad Sci U S A 110:E4530–E4539. https://doi.org/10.1073/pnas.1318835110 View ArticlePubMedPubMed CentralGoogle Scholar
- Lang CM, Fellerer K, Schwenk BM, Kuhn PH, Kremmer E, Edbauer D, Capell A, Haass C (2012) Membrane orientation and subcellular localization of transmembrane protein 106B (TMEM106B), a major risk factor for frontotemporal lobar degeneration. J Biol Chem 287:19355–19365. https://doi.org/10.1074/jbc.M112.365098 View ArticlePubMedPubMed CentralGoogle Scholar
- Lattante S, Le Ber I, Galimberti D, Serpente M, Rivaud-Pechoux S, Camuzat A, Clot F, Fenoglio C, Scarpini E, Brice A et al (2014) Defining the association of TMEM106B variants among frontotemporal lobar degeneration patients with GRN mutations and C9orf72 repeat expansions. Neurobiol Aging 35(2658):e2651–e2655. https://doi.org/10.1016/j.neurobiolaging.2014.06.023 View ArticleGoogle Scholar
- Lee CW, Stankowski JN, Chew J, Cook CN, Lam YW, Almeida S, Carlomagno Y, Lau KF, Prudencio M, Gao FB et al (2017) The lysosomal protein cathepsin L is a progranulin protease. Mol Neurodegener 12:55. https://doi.org/10.1186/s13024-017-0196-6 View ArticlePubMedPubMed CentralGoogle Scholar
- Levine TP, Daniels RD, Gatta AT, Wong LH, Hayes MJ (2013) The product of C9orf72, a gene strongly implicated in neurodegeneration, is structurally related to DENN Rab-GEFs. Bioinformatics 29:499–503. https://doi.org/10.1093/bioinformatics/bts725 View ArticlePubMedPubMed CentralGoogle Scholar
- Mori K, Arzberger T, Grasser FA, Gijselinck I, May S, Rentzsch K, Weng SM, Schludi MH, van der Zee J, Cruts M et al (2013a) Bidirectional transcripts of the expanded C9orf72 hexanucleotide repeat are translated into aggregating dipeptide repeat proteins. Acta Neuropathol 126:881–893. https://doi.org/10.1007/s00401-013-1189-3 View ArticlePubMedGoogle Scholar
- Mori K, Weng SM, Arzberger T, May S, Rentzsch K, Kremmer E, Schmid B, Kretzschmar HA, Cruts M, Van Broeckhoven C et al (2013b) The C9orf72 GGGGCC repeat is translated into aggregating dipeptide-repeat proteins in FTLD/ALS. Science 339:1335–1338. https://doi.org/10.1126/science.1232927 View ArticlePubMedGoogle Scholar
- Murray ME, Cannon A, Graff-Radford NR, Liesinger AM, Rutherford NJ, Ross OA, Duara R, Carrasquillo MM, Rademakers R, Dickson DW (2014) Differential clinicopathologic and genetic features of late-onset amnestic dementias. Acta Neuropathol 128:411–421. https://doi.org/10.1007/s00401-014-1302-2 View ArticlePubMedPubMed CentralGoogle Scholar
- Neumann M, Sampathu DM, Kwong LK, Truax AC, Micsenyi MC, Chou TT, Bruce J, Schuck T, Grossman M, Clark CM et al (2006) Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis. Science 314:130–133View ArticlePubMedGoogle Scholar
- Nicholson AM, Finch NA, Wojtas A, Baker MC, Perkerson RB 3rd, Castanedes-Casey M, Rousseau L, Benussi L, Binetti G, Ghidoni R et al (2013) TMEM106B p.T185S regulates TMEM106B protein levels: implications for frontotemporal dementia. J Neurochem 126:781–791. https://doi.org/10.1111/jnc.12329 View ArticlePubMedPubMed CentralGoogle Scholar
- Nicholson AM, Rademakers R (2016) What we know about TMEM106B in neurodegeneration. Acta Neuropathol 132:639–651. https://doi.org/10.1007/s00401-016-1610-9 View ArticlePubMedPubMed CentralGoogle Scholar
- O'Rourke JG, Bogdanik L, Muhammad A, Gendron TF, Kim KJ, Austin A, Cady J, Liu EY, Zarrow J, Grant S et al (2015) C9orf72 BAC transgenic mice display typical pathologic features of ALS/FTD. Neuron 88:892–901. https://doi.org/10.1016/j.neuron.2015.10.027 View ArticlePubMedPubMed CentralGoogle Scholar
- O'Rourke JG, Bogdanik L, Yanez A, Lall D, Wolf AJ, Muhammad AK, Ho R, Carmona S, Vit JP, Zarrow J et al (2016) C9orf72 is required for proper macrophage and microglial function in mice. Science 351:1324–1329. https://doi.org/10.1126/science.aaf1064 View ArticlePubMedPubMed CentralGoogle Scholar
- Peters OM, Cabrera GT, Tran H, Gendron TF, McKeon JE, Metterville J, Weiss A, Wightman N, Salameh J, Kim J et al (2015) Human C9ORF72 Hexanucleotide expansion reproduces RNA foci and dipeptide repeat proteins but not neurodegeneration in BAC transgenic mice. Neuron 88:902–909. https://doi.org/10.1016/j.neuron.2015.11.018 View ArticlePubMedPubMed CentralGoogle Scholar
- Platt FM, Boland B, van der Spoel AC (2012) The cell biology of disease: lysosomal storage disorders: the cellular impact of lysosomal dysfunction. J Cell Biol 199:723–734. https://doi.org/10.1083/jcb.201208152 View ArticlePubMedPubMed CentralGoogle Scholar
- Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J, van Swieten JC, Seelaar H, Dopper EG, Onyike CU et al (2011) Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain 134:2456–2477. https://doi.org/10.1093/brain/awr179 View ArticlePubMedPubMed CentralGoogle Scholar
- Ratnavalli E, Brayne C, Dawson K, Hodges JR (2002) The prevalence of frontotemporal dementia. Neurology 58:1615–1621View ArticlePubMedGoogle Scholar
- Renton AE, Majounie E, Waite A, Simon-Sanchez J, Rollinson S, Gibbs JR, Schymick JC, Laaksovirta H, van Swieten JC, Myllykangas L et al (2011) A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS-FTD. Neuron 72:257–268. https://doi.org/10.1016/j.neuron.2011.09.010 View ArticlePubMedPubMed CentralGoogle Scholar
- Rhinn H, Abeliovich A (2017) Differential aging analysis in human cerebral cortex identifies variants in TMEM106B and GRN that regulate aging phenotypes. Cell Syst 4(404–415):e405. https://doi.org/10.1016/j.cels.2017.02.009 View ArticleGoogle Scholar
- Rosso SM, Donker Kaat L, Baks T, Joosse M, de Koning I, Pijnenburg Y, de Jong D, Dooijes D, Kamphorst W, Ravid R et al (2003) Frontotemporal dementia in the Netherlands: patient characteristics and prevalence estimates from a population-based study. Brain 126:2016–2022. https://doi.org/10.1093/brain/awg204 View ArticlePubMedGoogle Scholar
- Rutherford NJ, Carrasquillo MM, Li M, Bisceglio G, Menke J, Josephs KA, Parisi JE, Petersen RC, Graff-Radford NR, Younkin SG et al (2012) TMEM106B risk variant is implicated in the pathologic presentation of Alzheimer disease. Neurology 79:717–718. https://doi.org/10.1212/WNL.0b013e318264e3ac View ArticlePubMedPubMed CentralGoogle Scholar
- Schwenk BM, Lang CM, Hogl S, Tahirovic S, Orozco D, Rentzsch K, Lichtenthaler SF, Hoogenraad CC, Capell A, Haass C et al (2014a) The FTLD risk factor TMEM106B and MAP6 control dendritic trafficking of lysosomes. EMBO J 33:450–467. https://doi.org/10.1002/embj.201385857 PubMedView ArticleGoogle Scholar
- Schwenk BM, Lang CM, Hogl S, Tahirovic S, Orozco D, Rentzsch K, Lichtenthaler SF, Hoogenraad CC, Capell A, Haass C et al (2014b) The FTLD risk factor TMEM106B and MAP6 control dendritic trafficking of lysosomes. Embo J. https://doi.org/10.1002/embj.201385857
- Sellier C, Campanari ML, Julie Corbier C, Gaucherot A, Kolb-Cheynel I, Oulad-Abdelghani M, Ruffenach F, Page A, Ciura S, Kabashi E et al (2016) Loss of C9ORF72 impairs autophagy and synergizes with polyQ Ataxin-2 to induce motor neuron dysfunction and cell death. EMBO J 35:1276–1297. https://doi.org/10.15252/embj.201593350 View ArticlePubMedPubMed CentralGoogle Scholar
- Shi Y, Lin S, Staats KA, Li Y, Chang WH, Hung ST, Hendricks E, Linares GR, Wang Y, Son EY et al (2018) Haploinsufficiency leads to neurodegeneration in C9ORF72 ALS/FTD human induced motor neurons. Nat Med 24:313–325. https://doi.org/10.1038/nm.4490 View ArticlePubMedPubMed CentralGoogle Scholar
- Stagi M, Klein ZA, Gould TJ, Bewersdorf J, Strittmatter SM (2014) Lysosome size, motility and stress response regulated by fronto-temporal dementia modifier TMEM106B. Mol Cell Neurosci 61:226–240. https://doi.org/10.1016/j.mcn.2014.07.006 View ArticlePubMedPubMed CentralGoogle Scholar
- Su Z, Zhang Y, Gendron TF, Bauer PO, Chew J, Yang WY, Fostvedt E, Jansen-West K, Belzil VV, Desaro P et al (2014) Discovery of a biomarker and lead small molecules to target r(GGGGCC)-associated defects in c9FTD/ALS. Neuron 83:1043–1050. https://doi.org/10.1016/j.neuron.2014.07.041 View ArticlePubMedPubMed CentralGoogle Scholar
- Sullivan PM, Zhou X, Robins AM, Paushter DH, Kim D, Smolka MB, Hu F (2016) The ALS/FTLD associated protein C9orf72 associates with SMCR8 and WDR41 to regulate the autophagy-lysosome pathway. Acta Neuropathol Commun 4:51. https://doi.org/10.1186/s40478-016-0324-5 View ArticlePubMedPubMed CentralGoogle Scholar
- Taylor JP, Brown RH Jr, Cleveland DW (2016) Decoding ALS: from genes to mechanism. Nature 539:197–206. https://doi.org/10.1038/nature20413 View ArticlePubMedPubMed CentralGoogle Scholar
- Ugolino J, Ji YJ, Conchina K, Chu J, Nirujogi RS, Pandey A, Brady NR, Hamacher-Brady A, Wang J (2016) Loss of C9orf72 enhances Autophagic activity via deregulated mTOR and TFEB signaling. PLoS Genet 12:e1006443. https://doi.org/10.1371/journal.pgen.1006443 View ArticlePubMedPubMed CentralGoogle Scholar
- van Blitterswijk M, Mullen B, Nicholson AM, Bieniek KF, Heckman MG, Baker MC, Dejesus-Hernandez M, Finch NA, Brown PH, Murray ME et al (2014) TMEM106B protects C9ORF72 expansion carriers against frontotemporal dementia. Acta Neuropathol. https://doi.org/10.1007/s00401-013-1240-4
- Van Deerlin VM, Sleiman PM, Martinez-Lage M, Chen-Plotkin A, Wang LS, Graff-Radford NR, Dickson DW, Rademakers R, Boeve BF, Grossman M et al (2010) Common variants at 7p21 are associated with frontotemporal lobar degeneration with TDP-43 inclusions. Nat Genet 42:234–239. https://doi.org/10.1038/ng.536 View ArticlePubMedPubMed CentralGoogle Scholar
- van der Zee J, Van Langenhove T, Kleinberger G, Sleegers K, Engelborghs S, Vandenberghe R, Santens P, Van den Broeck M, Joris G, Brys J et al (2011) TMEM106B is associated with frontotemporal lobar degeneration in a clinically diagnosed patient cohort. Brain 134:808–815. https://doi.org/10.1093/brain/awr007 View ArticlePubMedPubMed CentralGoogle Scholar
- Wood EM, Falcone D, Suh E, Irwin DJ, Chen-Plotkin AS, Lee EB, Xie SX, Van Deerlin VM, Grossman M (2013) Development and validation of pedigree classification criteria for frontotemporal lobar degeneration. JAMA Neurol 70:1411–1417. https://doi.org/10.1001/jamaneurol.2013.3956 View ArticlePubMedPubMed CentralGoogle Scholar
- Yang M, Liang C, Swaminathan K, Herrlinger S, Lai F, Shiekhattar R, Chen JF (2016) A C9ORF72/SMCR8-containing complex regulates ULK1 and plays a dual role in autophagy. Sci Adv 2:e1601167. https://doi.org/10.1126/sciadv.1601167 View ArticlePubMedPubMed CentralGoogle Scholar
- Zhang D, Iyer LM, He F, Aravind L (2012) Discovery of novel DENN proteins: implications for the evolution of eukaryotic intracellular membrane structures and human disease. Front Genet 3:283. https://doi.org/10.3389/fgene.2012.00283 PubMedPubMed CentralView ArticleGoogle Scholar
- Zhou X, Paushter DH, Feng T, Pardon CM, Mendoza CS, Hu F (2017a) Regulation of cathepsin D activity by the FTLD protein progranulin. Acta Neuropathol 134:151–153. https://doi.org/10.1007/s00401-017-1719-5 View ArticlePubMedPubMed CentralGoogle Scholar
- Zhou X, Paushter DH, Feng T, Sun L, Reinheckel T, Hu F (2017b) Lysosomal processing of progranulin. Mol Neurodegener 12:62. https://doi.org/10.1186/s13024-017-0205-9 View ArticlePubMedPubMed CentralGoogle Scholar