C9orf72/ALFA-1 controls TFEB/HLH-30-dependent metabolism through dynamic regulation of Rag GTPases
Authors:
Yon Ju Ji aff001; Janet Ugolino aff001; Tao Zhang aff001; Jiayin Lu aff001; Dohoon Kim aff001; Jiou Wang aff001
Authors place of work:
Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States of America
aff001; Department of Neuroscience, School of Medicine, Johns Hopkins University, Baltimore, MD, United States of America
aff002
Published in the journal:
C9orf72/ALFA-1 controls TFEB/HLH-30-dependent metabolism through dynamic regulation of Rag GTPases. PLoS Genet 16(4): e32767. doi:10.1371/journal.pgen.1008738
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pgen.1008738
Summary
Nutrient utilization and energy metabolism are critical for the maintenance of cellular homeostasis. A mutation in the C9orf72 gene has been linked to the most common forms of neurodegenerative diseases that include amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Here we have identified an evolutionarily conserved function of C9orf72 in the regulation of the transcription factor EB (TFEB), a master regulator of autophagic and lysosomal genes that is negatively modulated by mTORC1. Loss of the C. elegans orthologue of C9orf72, ALFA-1, causes the nuclear translocation of HLH-30/TFEB, leading to activation of lipolysis and premature lethality during starvation-induced developmental arrest in C. elegans. A similar conserved pathway exists in human cells, in which C9orf72 regulates mTOR and TFEB signaling. C9orf72 interacts with and dynamically regulates the level of Rag GTPases, which are responsible for the recruitment of mTOR and TFEB on the lysosome upon amino acid signals. These results have revealed previously unknown functions of C9orf72 in nutrient sensing and metabolic pathways and suggest that dysregulation of C9orf72 functions could compromise cellular fitness under conditions of nutrient stress.
Keywords:
Caenorhabditis elegans – Lipids – Autophagic cell death – Phosphorylation – Co-immunoprecipitation – Lysosomes – Guanosine triphosphatase – Diapause
Introduction
Recognition of a hexanucleotide repeat expansion (HRE) in the C9orf72 gene as the most common cause of the neurodegenerative diseases amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) has opened avenues for understanding the molecular mechanisms of a number of neurological diseases [1, 2]. In addition to being the most common cause of ALS and FTD, two related neurodegenerative conditions [3], there is genetic evidence to suggest that the C9orf72 repeat expansion also contributes to Alzheimer’s disease [4–7], Huntington’s disease [8], and other neurological conditions, including multiple system atrophy [9], depressive pseudodementia [10], and bipolar disorder [11]. How the C9orf72 repeat expansion leads to neurodegeneration remains to be determined, although both gain-of-toxicity and loss-of-function mechanisms have been proposed. The gain-of-toxicity mechanisms involve both RNA and protein products generated from the expanded hexanucleotide repeats. However, the dysregulation of the C9orf72 protein as a result of the repeat expansion could contribute to the pathogenesis of the relevant diseases. Multiple studies have demonstrated that C9orf72 RNA and protein levels are decreased in the brains and other tissues of ALS/FTD patients, who carry hundreds to thousands of the hexanucleotide repeats, when compared to normal individuals, who typically have only several repeats [12–16]. Moreover, loss of C9orf72 hypersensitizes cells to stress [17], and the haploinsufficiency of C9orf72 leads to neurodegeneration in human motor neurons [18].
Increasing evidence suggests that C9orf72 plays a role in the regulation of autophagic and lysosomal activity. Studies of the C9orf72 protein have revealed a DENN-like domain in its structure and its functions involved in membrane trafficking, the autophagy-lysosome pathway, autoimmunity, and metabolism [19–30]. C9orf72 has been shown to influence the initiation of autophagy via the serine/threonine-protein kinase ULK1 [23–26]. C9orf72 has also been reported to interact with several members of the Rab GTPase family, including Rab1, Rab5, Rab7, and Rab11, and may show activity characteristic of a guanine exchange factor [19, 28]. Moreover, C9orf72 has been shown to modulate the activity of mTORC1, a protein complex that regulates many cellular processes, including autophagy [22, 27]. We have previously reported that loss of C9orf72 protein causes the aberrant activation of transcription factor EB (TFEB), the master transcription factor for lysosomal genes by promoting its nuclear translocation [27]. CARM1, a histone arginine methyltransferase and a co-activator of TFEB, is recruited by C9orf72 to lysosomes for degradation under conditions of nutrient stress [30]. However, how C9orf72 regulates mTORC1 and TFEB signaling and downstream autophagic and lysosomal activity remains unknown.
Here we report the findings of a function of C9orf72 that is evolutionarily conserved from C. elegans to humans in the regulation TFEB signaling and downstream activity. While utilizing C. elegans as a model organism to study the conserved function of C9orf72, we identified a nutrient-dependent survival phenotype that is attributable to a defect in lipid metabolism. These phenotypes in C. elegans are dependent on the regulation of TFEB. In mammalian cells, C9orf72 was found to interact with Rag GTPases and regulate the activation of TFEB. These results suggest that the Rag GTPases are the key player in the mechanism through which C9orf72 regulates TFEB signaling and downstream metabolic processes.
Results
The C. elegans orthologue of C9orf72, alfa-1, is essential for survival in L1 diapause
The human C9orf72 has an orthologue in C. elegans, the F18A1.6 gene, also recently named as alfa-1 (ALS/FTD-associated gene homolog 1) [31]. We analyzed the domain structure of ALFA-1 and found that it shares the same DENN domains with human C9orf72, including the uDENN, cDENN, and dDENN domains (Fig 1A). We obtained a mutant strain of the alfa-1 gene with a mutant allele (ok3062) consisting of 486-bp deletion and 24-bp insertion in the region of exons 3 and 4. To study the nature of alfa-1(ok3062), we generated a rabbit polyclonal antibody against ALFA-1. ALFA-1 was detected near the 100-kDa protein size standard in wild-type N2 C. elegans by western blot analysis (Fig 1B). As expected, no signal was detected in alfa-1(ok3062) near the 100-kDa size marker. Moreover, no additional smaller band was detected as being unique in alfa-1(ok3062), suggesting that this mutant allele is a null allele. With this allele, we saw no gross defects at the adult stage, and the brood size was comparable to that in wild-type N2 (S1A Fig).
The L1 larva is the first developmental stage after C. elegans embryos are hatched; this stage lasts for several hours when nutrients are abundant. If the embryos are hatched in the absence of food, the worms can survive but are arrested at the L1 stage for a few weeks without the occurrence of any major morphological changes; this arrest is referred to as the L1 diapause. Consistent with a previous report [32], we found that alfa-1(ok3062) displayed a significantly decreased survival at the L1 stage under starvation conditions when compared to the N2 strain (Fig 1C). Since a key player in the insulin signaling pathway, daf-16, has been reported to regulate L1 diapause [33], we asked whether the regulation of L1 diapause by alfa-1 is dependent on the insulin signaling pathway. To address this question, we performed a genetic interaction analysis between alfa-1 and the key loss-of-function mutants in the insulin signaling pathway, including daf-2(e1370) and daf-16(mu86), with reference to the survival of L1 worms under the starvation conditions (S1B Fig).
DAF-2 is an insulin-like receptor that inhibits the nuclear translocation of DAF-16, which is the FOXO transcription factor in C. elegans and controls the expression of genes regulating development and L1 diapause [33]. We first examined the genetic interaction between alfa-1(ok3062) and daf-2(e1370). Unlike alfa-1(ok3062), which showed decreased L1 survival under the starvation conditions when compared to N2, daf-2(e1370) alone showed increased survival. Interestingly, alfa-1(ok3062);daf-2(e1370) double mutants exhibited decreased survival similar to alfa-1(ok3062) alone (S1B Fig), indicating that alfa-1 is epistatic to daf-2. Next, we generated and challenged the double mutant daf-16(mu86);alfa-1(ok3062) under the same starvation conditions. Unlike alfa-1(ok3062), daf-16(mu86) did not show decreased L1 survival when they were starved for two days. However, the survival of daf-16(mu86) sharply decreased after starvation for four days, consistent with the previous reports [34]. Furthermore, daf-16(mu86);alfa-1(ok3062) exhibited decreased L1 survival when compared to alfa-1(ok3062) or daf-16(mu86) alone (S1C Fig), suggesting that alfa-1 regulates L1 survival under starvation in parallel to daf-16. The Insulin-like signaling pathway in C. elegans is also well-known to regulate longevity, therefore we asked if alfa-1(ok3062) longevity is changed under normal conditions. Notably, unlike daf-2(e1370) and daf-16(mu86), which regulated lifespan, alfa-1(ok3062) did not influence the lifespan of C. elegans under normal conditions (S1D Fig). In addition, the longevity of alfa-1(ok3062);daf-2(e1370) and daf-16(mu86);alfa-1(ok3062) double mutants was similar to that of daf-2(e1370) and daf-16(mu86) single mutants, respectively, suggesting that alfa-1 does not regulate the longevity under normal condition. Taken together, alfa-1 regulates specifically L1 survival under the nutrient stress.
HLH-30/TFEB is abnormally activated upon loss of alfa-1/C9orf72
To understand the molecular changes as a result of the loss of alfa-1, we analyzed the transcriptome profiles of alfa-1(ok3062) mutants and WT controls by using microarrays. Because alfa-1(ok3062) showed decreased survival at L1 diapause under starvation, we decided to analyze the transcriptome at the L3/L4 stage after starvation. Both N2 and alfa-1(ok3062) C. elegans were synchronized at the larval stage. Then, the L3/L4 stage C. elegans under the well-fed conditions and another set of worms starved for 6 hr were harvested for RNA extraction and whole-transcriptome microarray analysis (S2A Fig). It was previously reported that 6-hr starvation was sufficient to induce transcriptomic changes in young adults [35]. The transcriptome profiling data were analyzed using the Ingenuity Pathway Analysis platform to identify the molecular function categories in which the differentially regulated genes were enriched. Under both well-fed and starvation conditions, the most significantly represented molecular function related to the changes as a result of the loss of alfa-1 pointed to lipid metabolism (S2B–S2E Fig). Notably, amino acid metabolism is also highly relevant to the changes as a result of the loss of alfa-1 in C. elegans under starvation conditions (S2D and S2E Fig). These data suggested that alfa-1 may influence metabolism especially that of lipids in the intact worms.
Next, we asked whether the survival phenotype of the alfa-1(ok3062) mutants at L1 diapause is related to any changes in lipid metabolism. During L1 diapause, a metabolic change is needed to preserve the energy necessary for the long-term survival under starvation conditions. As a major energy source in the starvation conditions, the fat content is stored in the intestine of C. elegans and when in need digested in lysosomes. Therefore, the lysosome is an important organelle for regulating energy metabolism in the cell. Nile Red, a vital dye that has long been used to detect the lipid in the C. elegans intestine [36], was reported to stain the lipid in the lysosome-related organelles [37]. When L1 or adult worms in well-fed conditions were treated with Nile Red, we detected no differences between alfa-1(ok3062) and wild-type N2 control animals (Fig 1D–1F and S3A and S3B Fig). However, when L1 worms cultured under starvation conditions were stained with Nile Red, we observed a significantly lower signal in the alfa-1(ok3062) mutants than in the N2 controls (Fig 1E and 1F). These data suggest a defect in lipid metabolism in the lysosome-related organelles of alfa-1(ok3062) mutants that could explain the premature death of the L1 mutants under starvation conditions.
TFEB, a basic helix-loop-helix leucine zipper transcription factor, is a master regulator of lysosome biogenesis, autophagy, and lipid metabolism [38–40]. HLH-30, the C. elegans orthologue of TFEB, has been reported to regulate gene expression involved in autophagy and lipolysis [41, 42]. As in mammalian cells, when adult C. elegans is starved, HLH-30 is translocated from the cytoplasm into the nucleus and turns on the expression of target genes promoting autophagy and lipolysis [41, 43]. Therefore, we utilized the HLH-30::GFP reporter to monitor the subcellular localization and activation status of the transcription factor. Interestingly, during starvation-induced L1 diapause, HLH-30::GFP was observed in the cytoplasm of all cells in N2 worms, suggesting that there is a mechanism to inhibit the nuclear translocation and activation of HLH-30 during L1 diapause in wild-type animals (Fig 2A and 2B). In contrast, alfa-1(ok3062) mutants in L1 diapause showed an HLH-30::GFP distribution in the nuclei of the cells, indicating that HLH-30 was abnormally activated in the absence of alfa-1 (Fig 2A and 2C). The level of HLH-30::GFP expression appeared to be slightly increased, but not significantly statistically, in alfa-1(ok3062) when compared to that in wild-type N2 at the L1 stage under starvation conditions (S3C and S3D Fig).
Next, we confirmed that HLH-30 is functionally activated in alfa-1(ok3062) at L1 diapause. We first monitored autophagy using C. elegans LGG-1, the orthologue of mammalian LC3, labeled with GFP. Upon starvation, the distribution of LGG-1 changes from a diffuse pattern to a punctate pattern of autophagosomes in C. elegans [44, 45]. At L1 diapause, enlarged and increased numbers of autophagosomes, as marked by LGG-1::GFP, were observed in alfa-1(ok3062) mutants when compared to wild-type controls (Fig 2D and 2E), suggestive of heightened autophagic activity. Second, we measured the expression levels of the autophagy genes, atg-9 and sqst-1, which are also HLH-30 target genes at the transcription level [42]. By RT-qPCR analysis, we found that the mRNA levels of atg-9 and sqst-1 were significantly higher in alfa-1(ok3062) at L1 diapause than in wild-type controls (Fig 2F), consistent with the notion that HLH-30 activation promotes the transcription of autophagy genes. Finally, we measured the expression level of four lipase genes, lipl-1, lipl-2, lipl-3, and lipl-5, that are known to be regulated by HLH-30 [41]. As expected, the levels of mRNA expressions for all the tested genes showed an upregulation in alfa-1(ok3062) at L1 diapause when compared to wild-type controls (Fig 2G). Taken together, these results support the concept that HLH-30 is abnormally activated in alfa-1(ok3062).
Abnormal activation of HLH-30/TFEB in alfa-1(ok3062) contributes to the decrease in lipids as well as survival at the L1 stage during starvation
We then asked how HLH-30 activities might contribute to the decreased survival phenotype at L1 diapause in alfa-1(ok3062) mutants. We first examined how HLH-30 overexpression influences survival at L1 diapause. Survival was decreased when HLH-30::GFP was overexpressed in wild-type N2 worms at L1 diapause, and the phenotype worsened when HLH-30::GFP was overexpressed in alfa-1(ok3062) (Fig 2H), consistent with the idea that the abnormal activation of HLH-30 in alfa-1(ok3062) causes a decrease in survival at L1 diapause.
We then asked whether the overexpression of HLH-30 causes the decrease in lipid in lysosome-related organelles of alfa-1(ok3062) at L1 diapause. We determined whether HLH-30 is responsible for the digestion of lipids at L1 diapause by staining the worms with Nile Red. Similar to alfa-1(ok3062), overexpression of HLH-30::GFP in wild-type N2 animals decreased the Nile Red staining at L1 diapause (Fig 3A and 3B), indicating that HLH-30 indeed promotes the digestion of the lipids. While overexpression of HLH-30::GFP in wild-type C. elegans decreased the Nile Red staining compared to the control, the level of Nile Red staining was still higher than in alfa-1(ok3062), suggesting that overexpressed HLH-30::GFP was partially inhibited by ALFA-1 in wild-type worms. Indeed, loss of alfa-1 in HLH-30::GFP overexpression C. elegans decreased the Nile Red staining signal to the level similar to that of alfa-1(ok3062) alone, suggesting that loss of alfa-1 is sufficient to activate HLH-30 for lipid digestion.
To ascertain whether HLH-30 is responsible for the lipid-associated phenotypes in alfa-1(ok3062), we examined the lipid levels using Nile Red staining in C. elegans carrying the loss-of-function allele hlh-30(tm1978). In the absence of food, hlh-30(tm1978) C. elegans mutants preserved lipid particles, unlike alfa-1(ok3062) mutant, suggesting that HLH-30 is required for lipid digestion (Fig 3C and 3D). Interestingly, the level of Nile Red staining in alfa-1(ok3062);hlh-30(tm1978) double mutants was similar to those of wild-type worms, indicating that alfa-1 regulates the lipid digestion through hlh-30 (Fig 3C and 3D). Taken together, these data indicate that the C. elegans orthologue of C9orf72, ALFA-1, regulates the lipid metabolism through a mechanism dependent on the C. elegans orthologue of TFEB, HLH-30.
Finally, we tested if loss of hlh-30 affects survival defects in alfa-1(ok3062). However, the hlh-30(tm1978) mutant is viable for only a short period of time under conditions that lead to starvation-induced L1 diapause. Only a few hlh-30(tm1978) mutant animals survived at 8 hr after hatching without food (Fig 3E), and no worms survived at 48 hr after hatching (S3E Fig), indicating that HLH-30 is essential for survival during L1 diapause. Accordingly, no L1 larvae of the alfa-1(ok3062);hlh-30(tm1978) double mutation survived 48 hr without food (S3E Fig). These data suggest that HLH-30 is essential for lipid metabolism that is required for energy production and survival of L1 C. elegans during starvation.
Having established that alfa-1 regulates lipid metabolism through HLH-30, we asked whether this regulation is related to the mTOR signaling. In mammals, TFEB, a homolog of HLH-30, is translocated into the nucleus when activated, and the nuclear translocation of TFEB is inhibited when TFEB is phosphorylated by the mTOR kinase [43, 46]. Therefore, we tested how an mTOR inhibitor, rapamycin, affects nuclear translocation of HLH-30. When wild-type C. elegans was treated with rapamycin, HLH-30::GFP was translocated to the nucleus at L1 diapause as expected (S4A and S4B Fig), suggesting that the C. elegans orthologue of TFEB, HLH-30, is also regulated by mTOR. Notably, rapamycin treatment in alfa-1(ok3062) resulted in a similar level of nuclear localization of HLH-30::GFP with alfa-1(ok3062) without the treatment, consistent with the notion that alfa-1 and mTOR are in the same pathway in the regulation of HLH-30.
C9orf72 regulates TFEB through Rag GTPases
To investigate the mechanisms through which C9orf72 regulates TFEB activities, we first asked whether C9orf72 directly associates with TFEB by performing co-immunoprecipitation analysis using C9orf72-Flag and TFEB-GFP expressed in HEK293 cells. However, no TFEB-GFP was detected in C9orf72-FLAG precipitates (Fig 4A), suggesting that C9orf72 and TFEB are not directly associated with each other and that another factor may mediate the functional association between these two proteins. As a positive control for the co-immunoprecipitation assay, we looked for an interaction between TFEB and the RagB/C heterodimer, two subunits of the Rag GTPase complex co-expressed in the cells, and observed this interaction as reported previously (Fig 4A) [47, 48].
In mammals, Rag GTPases function as a heterodimer consisting of two of four members of the family of Ras-related small GTP-binding proteins, RagA or RagB and RagC or RagD, with RagA and RagB being highly similar to each other and RagC and RagD also highly resembling each other [49, 50]. Since the Rag GTPases are known to recruit TFEB to the lysosome where mTOR phosphorylates TFEB and inhibits nuclear translocation [47, 48, 51], we asked whether the regulation of TFEB signaling by C9orf72 is mediated by Rag GTPases. To determine whether C9orf72 interacts with Rag GTPases, we performed co-immunoprecipitation in HEK293 cells expressing C9orf72-FLAG and HA-tagged RagB and RagC. When C9orf72 was pulled down with the Flag antibody, RagB and RagC were detected in the precipitates by western blotting, as compared to IgG control (S5A Fig). In the reciprocal immunoprecipitation, C9orf72-FLAG was detected in RagB/C-HA precipitates, but not in IgG control precipitates (S5B Fig). We also performed the co-immunoprecipitation analysis with all combinations of Rag GTPase complexes in the cells expressing C9orf72-FLAG and HA-Rags (S5C Fig). All combinations of Rag GTPase heterodimers were detected in C9orf72-FLAG immunoprecipitates, suggesting that C9orf72 is intrinsically capable of interacting with all forms of Rag GTPases. Furthermore, we confirmed the interaction between endogenous C9orf72 and RagC or RagA proteins (Fig 4B and S5D Fig). Consistent with the immunoprecipitation of overexpressed proteins, endogenous RagC or RagA was detected in the C9orf72 immunoprecipitates (Fig 4B and S5D Fig). These results established that C9orf72 interacts with the Rag GTPases under physiologically relevant conditions.
Since RagC binds Raptor, a component of the mTOR complex and a major regulator of mTORC1 [52], we asked whether C9orf72 is also associated with Raptor. Co-immunoprecipitation analysis was performed in HEK293 cells expressing C9orf72-FLAG and Raptor-MYC. When C9orf72 was pulled down with the Flag antibody, Raptor-MYC was detected in the precipitates by western blotting, as compared to the IgG control (Fig 4C), suggesting that C9orf72 is associated with the mTOR complex via its interaction with Rag GTPases and Raptor.
The Rag GTPases regulate the activation of mTORC1 upon amino acid stimulation [51, 52]. Since C9orf72 has been observed to influence mTORC1 signaling [22, 27], we asked whether C9orf72 regulates Rag GTPases, especially in response to amino acid stimulation. Interestingly, when HEK293 cells were grown under amino acid starvation conditions, there was a significant decrease in the level of RagC, as measured by western blotting, in the cells in which C9orf72 was knocked down with specific shRNAs, as compared to the cells treated with the control shRNAs (Fig 4D and 4E). More importantly, when the starved cells were stimulated with amino acids, the RagC levels were also significantly lower in the C9orf72-knockdown cells than in the control shRNA-treated cells (Fig 4D and 4F). In addition, the RagC level was also decreased in C9orf72 knockout MEF cells compared to wild-type cells under the same amino acid starvation and stimulation condition (S5E Fig), consistent with the results from HEK293 cells. We then asked whether the level of RagC on the lysosome is affected by the loss of C9orf72 under starvation or amino acid stimulation conditions. Lysosomes were isolated from HEK293 cells, and consistent with the changes in the whole lysates, the lysosomal level of RagC was significantly decreased in the C9orf72 knockdown cells under starvation and amino acid stimulation conditions, when compared to control cells (Fig 4G and S5F Fig). These data demonstrate that the level of RagC is dynamically regulated by C9orf72.
Since Rag GTPases mediate amino acid-dependent recruitment of TFEB to lysosomes, we asked whether TFEB subcellular localization is changed in C9orf72-deficient cells under amino acid stimulation. We monitored the lysosomal localization of TFEB using the TFEB-GFP reporter and LysoTracker to label lysosomes. Upon amino acid stimulation, TFEB-GFP was co-localized with LysoTracker in the control shRNA-treated cells (Fig 5A and 5B), consistent with the previous reports [47, 48]. Importantly, the co-localization of TFEB with the LysoTracker in response to amino acid stimulation was decreased in C9orf72 shRNA-treated cells when compared to control cells (Fig 5A and 5B). Next, we asked whether the phosphorylation of TFEB, which determines its nuclear localization, is also altered. Since the amount of phosphorylated TFEB was too low to be detected reliably in total cell lysates from HEK293 cells, we used immunoprecipitation to pull down total TFEB and then analyzed the level of phosphorylated TFEB. As expected, TFEB phosphorylation was increased upon amino acid stimulation; however, the degree of TFEB phosphorylation was lower in the C9orf72 shRNA-treated cells than in control shRNA-treated cells, consistent with the impairment in Rag GTPase functions and mTOR signaling, as indicated by reduced levels of RagC and phosphorylated S6K1, respectively, in the C9orf72-deficient cells (Fig 5C and 5D). Consistent with the decrease of phosphorylated TFEB, the TFEB localization in the nucleus was increased in C9orf72 shRNA-treated cells over control cells after amino acid stimulation (Fig 6A and 6B). Finally, to confirm that the effects of C9orf72 on TFEB was mediated by Rag GTPases, we used a constitutively active form of Rag GTPases to test if it can rescue the phenotype in C9orf72-deficient cells. Because the Rag proteins function as heterodimers in which the active complex consists of GTP-bound RagA or B complexed with GDP-bound RagC or D, we overexpressed the GTP-bound form of RagB with GDP-bound form of RagC to rescue the decrease of phosphorylated TFEB in C9orf72-deficient cells [53]. For the GTP-bound form of RagB, the RagBQ99L mutant that lacks GTPase activity was used, and for the GDP-bound form of RagC, that RagCS75N mutant that has deficient affinity for nucleotides was used. As expected, the decrease of phosphorylated TFEB in C9orf72-deficient cells was rescued by overexpression of the active form of Rag GTPases, confirming that C9orf72 regulates TFEB through Rag GTPases (Fig 6C). Taken together, these results support a model in which C9orf72 regulates TFEB inactivation through Rag GTPases under conditions of amino acid stimulation (S5 Fig).
Discussion
The present study has revealed a conserved role for C9orf72 in the regulation of TFEB, a master transcription factor for autophagy, lysosome biogenesis, and lipid metabolism. We found that in C. elegans, loss of the C9orf72 orthologue, ALFA-1, leads to nuclear translocation and abnormal activation of HLH-30/TFEB under nutrient stress. We also uncovered that the same regulation of TFEB by C9orf72 exists in human cells and is mediated by the Rag GTPases, the key player at the lysosome surface in mTOR signaling.
These results are consistent with the emerging notion that C9orf72 is an important regulator of metabolic homeostasis, particularly in response to nutrient stress. Identification of Rag GTPases as an interactive partner and effector of C9orf72 illustrates a mechanism for the regulation of mTOR and TFEB signaling and downstream metabolic processes. In response to amino acid signals, Rag GTPases bind to mTORC1 and promotes the translocation of mTORC1 to the lysosome surface [54], where mTORC1 phosphorylates TFEB and inhibits the latter’s nuclear translocation and activation [48]. We found that C9orf72 forms a complex with Rag GTPases and that a deficiency in C9orf72 leads to a decrease in the level of RagC under conditions of nutrient stress. The deficits in Rag GTPase functions can impair the mTOR signaling response to amino acid signals and in turn lead to abnormal activation of TFEB, which we indeed observed in C9orf72-deficient cells. The regulation of TFEB by C9orf72 appears to be an ancient pathway, given the similarity to the ALFA-1−HLH-30 pathway in C. elegans. Overall, C9orf72 acts as a brake in the dynamic regulation of nutrient-dependent mTOR and TFEB signaling; its deficiency can cause overactivation of metabolic systems and negatively affect fitness during evolution, potentially explaining the survival phenotype of C. elegans lacking ALFA-1/C9orf72 during L1 diapause under nutrient stress. Consistently, in various cellular and animal models, loss of C9orf72 does not cause an overt phenotype under normal conditions but leads to more apparent deficits under stress conditions [18, 31, 55, 56]. Notably, while this manuscript was in review, an independent study reported that C9orf72 associates with Rag GTPases and regulates autophagosomal and lysosomal biogenesis [57], consistent with the main observations of the present study.
Nutrient sensing and metabolic processes such as the autophagic and lysosomal degradation are essential for neuronal health, and their alteration is an increasingly recognized feature in aging-related neurodegenerative diseases [58–60]. For instance, there is a multitude of ALS genes with functions related to autophagy [61], suggesting that the autophagic and metabolic defects are a common theme for ALS and related neurodegeneration. Taken together, our findings suggest that the C9orf72 protein plays a role in key nutrient-sensing and metabolic processes, and its dysregulation may contribute to age-dependent neurodegenerative diseases.
Materials and methods
C. elegans
All C. elegans strains were maintained at 20°C under standard conditions. E. coli OP50 was used for feeding, and the N2 Bristol strain was used as the wild-type control. Mutant strains were obtained from the Caenorhabditis Genetics Center, including RB2260 alfa-1(ok3062) II, CB1370 daf-2(e1370) III, CF1038 daf-16(mu86) I, JIN1375 hlh-30(tm1978) IV, and DA2123 adIs2122[lgg-1::GFP rol-6(df)]. OP433 wgIs433 [hlh-30::TY1::EGFP::3xFLAG + unc-119(+)] was kindly provided by Dr. Eyleen J. O'Rourke at University of Virginia. All the mutant strains were backcrossed with the N2 strain at least four times. The new strains generated by crossing in this study include: IW450 alfa-1(ok3062) II; daf-2(e1370) III, IW451 alfa-1(ok3062)II;daf-16(mu86) I, IW762 alfa-1(ok3062)II;wgIs433 [hlh-30::TY1::EGFP::3xFLAG + unc-119(+)], IW734 alfa-1(ok3062)II;hlh-30(tm1978) IV, and IW366 adIs2122[lgg-1::GFP rol-6(df)]; alfa-1(ok3062)II.
ALFA-1 antibody generation and validation
A synthetic peptide (RAEILQPDISEFIYM) corresponding to the C-terminal region of ALFA-1 was synthesized and used to immunize rabbits. The resulting polyclonal antibodies were purified using affinity chromatography (ThermoFisher). The specificity of the ALFA-1 antibody was validated by pre-incubating the antibody with the immunizing peptide for 30 min at room temperature prior to immunoblot analysis.
C. elegans immunoblot analysis
For ALFA-1 immunoblotting, mixed-stage N2 and alfa-1(ok3062) worms were harvested in M9 buffer from NGM plates and washed five times in M9 buffer to remove the E. coli OP50. For HLH-30::GFP immunoblotting, eggs of wgIs433 and alfa-1(ok3062);wgIs433 were prepared, and cultured in M9 Buffer at 20°C. Then the L1 larva was collected 24 hours after hatching. The worms were lysed in modified RIPA buffer (50 mM Tris, pH 6.8, with 150 mM NaCl, 0.5% SDS, 0.5% Sarkosyl, 0.5% NP40, 20 mM EDTA, and Roche cOmplete, EDTA-free protease inhibitor cocktails), freeze-thawed three times, and sonicated using a Diagenode Bioruptor for 15 min (high setting, 30-sec pulse). The resulting lysates were then centrifuged at 16,000 x g for 10 min at 4°C to pellet worm debris. Protein concentrations were determined using the bicinchoninic acid assay (ThermoFisher) and 50 μg of protein was separated by SDS-PAGE. The resulting protein was transferred to a nitrocellulose membrane using the Mini Trans-Blot Turbo transfer system (Bio-Rad). The membrane was incubated with the primary antibody overnight at 4°C before being incubated with the anti-rabbit secondary antibody and visualized using an Odyssey imaging system (Li-cor).
L1 diapause survival assay
Gravid adult worms were collected in 3.5 ml of M9 buffer and treated with 1 ml of bleach solution and 0.5 ml of 5 N NaOH to extract the eggs. Eggs were washed at least three times before culturing the worms. After washing, the egg solution was prepared at a concentration of 1–2 eggs/μl of M9 buffer in a 15-ml conical tube and was cultured in a shaking incubator at 20°C for the indicated time. Days were counted from egg preparation: day 1 was 24 hr after hatching, day 2 was 48 hr, and so on. At each time point, a 100-μl aliquot (approximately 100–200 worms) from each sample tube was plated on each of three plates seeded with E. coli OP50. The tube was returned to the shaking incubator for further days of starvation. Plated worms were allowed to grow for 3 days, and the number of worms that reached the L4 or adult stage was counted from each plate. The numbers from three plates were averaged and recorded. The number at hatching was used as the total number of worms to be analyzed and the denominator to calculate the percentage of worms recovering after 3 days of starvation.
C. elegans transcriptome profiling
Mixed-stage alfa-1(ok3062) and matched N2 C. elegans were bleached, and the resulting eggs seeded on to NGM plates and allowed to incubate at 20°C. Approximately 48 hr after seeding, L3/L4 worms were collected in M9 buffer and rinsed five times to remove any residual OP50 bacteria. The worms were then equally divided into 1.5 ml-tubes. Control (non-starved) samples were immediately centrifuged, and the resulting worm pellets were frozen at -80°C. The remaining worm samples were allowed to incubate in M9 buffer at room temperature for 6 hr with gentle mixing. After 6 hr, the samples were treated in an identical manner to the controls and stored -80°C until further downstream processing. In total, four samples per strain per condition were used for analysis. Total RNA from all samples was extracted using the RNeasy MiniPrep Kit (Qiagen) and analyzed using Affymetrix C. elegans microarrays as previously described [62]. The microarray data were also analyzed through the use of Ingenuity Pathways Analysis (IPA) (Ingenuity Systems, www.Ingenuity.com). The differentially regulated C. elegans genes that were associated with biological functions in Ingenuity’s Knowledge Base were analyzed to identify the biological functions that were most significant to the data set. Microarray data can be found at the Gene Expression Omnibus repository (accession #: GSE137355).
Nile red staining
Nile Red powder (ThermoFisher, Cat. # N1142) was dissolved in acetone at 1 mg/ml, diluted in M9 buffer at 5 μg/ml, and added to 200 μl of Nile Red solution in M9 on top of nematode growth medium (NGM) seeded with OP50 in a 6-cm plate. Worms were placed on these plates and were cultured until they became gravid adults. Eggs were prepared as described for the survival assay above, and Nile Red was added at the same concentration (0.1 μg/mL) to the egg solution. For starvation conditions, eggs were cultured in M9 buffer. Nile Red images of 100 mM levamisole-treated worms on 2% agarose pads were taken under the confocal microscope approximately 24 hr after hatching, and then analyzed using Image J software. For well-fed larva, eggs were cultured in M9 buffer supplemented with E. coli OP50, and images were taken after 16 hr of culture at the L1 stage. For young adults, eggs were placed on an NGM plate seeded with OP50, to which was added the Nile Red solution. Eggs were cultured in the 20°C incubator for approximately 54 hr, until the worms reached the young adult stage, and then imaged. For the quantification of Nile Red staining, particle analysis was performed using Image J, and the number of particles per worm was counted and compared to those in wild-type controls.
HLH-30::GFP reporter assay
The L1 larva from HLH-30::GFP reporter-expressing worms were prepared and cultured for approximately 24 hr in M9 buffer for starvation. The GFP images of HLH-30::GFP-expressing worms that had been paralyzed by mixing 100 mM levamisole with equal volume of worm slurries in M9 on the 2% agarose pads were then taken using a Zeiss ApoTome. For the well-fed conditions, the eggs were cultured in M9 buffer supplemented with OP50 for 16 hr and then imaged. The numbers of nuclear GFP-expressing cells and of cytoplasmic GFP-expressing cells per worm were counted for the quantification.
Lifespan analysis
Twenty gravid adult worms per group were placed on NGM plates with OP50 to collect approximately 300 eggs; the adult worms were removed after 2 hr. The eggs were then cultured approximately 54 hr until they reached the L4 stage. The L4 worms were transferred to a new plate, and the next day they were considered to be day 1 adults as they started to lay eggs. From day1, the dead worms were counted on every other day, until all the worms were dead. The worms were transferred to the new plates every other day until they either stopped laying eggs, to avoid counting offspring, or they consumed all the E. coli.
Quantitative real-time PCR
Total RNA was isolated with an RNeasy Plus Mini kit from L1 worms under starvation conditions, and cDNAs were synthesized with the QuantiTect reverse transcription kit (Qiagen). Primer sequences for qPCR are listed in S1 Table. RT-qPCRs were performed on a CFX96 Real-Time System thermal cycler (BioRad) with iQ SYBER Green PCR mix (BioRad).
C. elegans autophagy analysis
Starved L1 larva expressing the LGG-1::GFP reporter were collected as described above. The worms were placed on a 2% agarose pad with levamisole and imaged under an SP8 confocal microscope (Leica). The images were then analyzed by particle analysis in Image J to count the autophagosome puncta and to measure the size of autophagosomes. The number of autophagosomes per worm was averaged and the size distribution analyzed.
DNA plasmids and antibodies
C9orf72-Flag and C9orf72 shRNA constructs were described previously [27]. GFP-TFEB (38119, Shawn Ferguson, Yale University), pRK5-HA GST RagB (19301, David Sabatini, Whitehead Institute), pRK5-HA GST RagC (19304, David Sabatini, Whitehead Institute), myc-Raptor (1859, David Sabatini, Whitehead Institute), pRK5-HA GST RagB 99L (19303, David Sabatini, Whitehead Institute), and pRK5-HA GST RagC 75N (19305, David Sabatini, Whitehead Institute) were obtained from Addgene.
Antibodies used in the human cell studies include the following: mouse anti-Flag (Sigma), mouse anti-GFP, rabbit anti-GAPDH (ThermoFisher), mouse anti-actin (Santa Cruz), mouse anti-C9orf72 (Bio-Rad), mouse anti-C9orf72 (Proteintech), mouse anti-HA (Bethyl Lab), rabbit anti p-70S6K, rabbit anti p-p70S6K, rabbit anti-RagA, rabbit anti-RagC, rabbit anti-Raptor, rabbit anti-LAMP1, rabbit anti-DYKDDDDK, rabbit anti-pTFEB, rabbit anti-TFEB (Cell Signaling), mouse anti-TFEB (Mybiosources), and rabbit anti-GFP (Abcam).
Cell culture and DNA transfection
All cells were maintained in DMEM supplemented with 10% FBS in a 5% CO2, 37 C incubator. HEK293 cells stably expressing control or C9orf72 shRNA were cultured in DMEM supplemented with 10% FBS and 2 μM puromycin. HeLa cells stably expressing TFEB-GFP were cultured in DMEM with 10% FBS supplemented with 10% FBS and 400 μM G418.
For co-transfection experiments, 2.2 X 106 cells were plated in PEI-coated 10-cm culture dishes. The next morning, the cells were transfected in OMEM using Lipofectamine 2000 (ThermoFisher) according to the manufacturer’s instructions. Transfected plasmid DNA amounts were: 2 μg of C9orf72-Flag, 100 ng of pRK5-HA GST RagB or RagC, 50 ng of myc-Raptor, and 1 μg of TFEB-GFP. The total amount of plasmid DNA in each transfection was normalized to 2.5 μg with an empty pRK5-myc vector. Five hours after transfection, the OMEM was replaced with DMEM supplemented with 10% FBS. At 48 hr post-transfection, the cells were harvested for co-immunoprecipitation analysis.
Amino acid starvation and stimulation of cells
Cells (0.8 X 106) were plated in 60-mm plates and cultured for 72 hr prior to starvation treatment. Then the cells were rinsed two times with amino acid-free RPMI and incubated in the same medium (MyBiosources, Cat. # MBS652918) for 50 min, then rinsed and stimulated with complete RPMI 1640 (Gibco, Cat. # 11875) for 10–15 min.
Immunoblot analysis
Cells were collected in lysis buffer (20 mM Tris-HCl, pH 7.5, with 137 mM NaCl, 1% NP-40, 20 mM EDTA, Roche cOmplete, EDTA-free protease inhibitor cocktails, and Roche PhosSTOP phosphatase inhibitor cocktails) and sonicated using a Diagenode Bioruptor for 15 min (high setting, 30-sec pulse). Soluble fractions of the lysates were collected by centrifuging at 16,000 x g for 10 min at 4°C, and protein concentrations were determined using the bicinchoninic acid assay (ThermoFisher). Fifty micrograms of protein per lane were resolved on SDS-PAGE gels and then transferred to nitrocellulose membranes using a Trans-blot Turbo transfer system (Bio-Rad). Western blotting was performed with an appropriate primary antibody and IRDye 800CW or 680RD secondary antibody, and the signal was detected using an Odyssey imaging system (Li-Cor).
Immunoprecipitation
Cells were rinsed twice with PBS and lysed in NP-40 lysis buffer (20 mM Tris-HCl, 150 mM NaCl, 1% NP-40 and 2 mM EDTA), then sonicated for 15 min on ice. The soluble fraction of the lysate was collected by centrifugation at 16,000 x g for 10 min prior to immunoprecipitation as described above. For immunoprecipitations, the primary antibodies were added to the lysate and incubated on a rotator overnight at 4°C. The immune complexes were then pulled down with protein A/G magnetic beads (ThermoFisher, Cat. # 88803) and washed three times with washing buffer according to the manufacturer’s manual. The immunoprecipitates were eluted by incubating the beads with SDS-PAGE loading dye for 10 min at room temperature and boiled for 10 min at 95°C prior to being loaded on the SDS-PAGE gel. Western blotting was performed as described above. For immunoprecipitation of endogenous proteins, western blotting was performed with the quick western kit (Li-Cor, Cat. # 926–69100) according to the manufacturer’s instructions.
Live cell imaging and immunostaining
For live-cell imaging, 3 X 105 HeLa cells stably expressing TFEB-GFP and control or C9orf72 shRNA were grown on glass-bottomed 35-mm dishes for 72 hr, then rinsed twice with and incubated with amino acid-free RPMI medium for 50 min. In the middle of the starvation treatment, LysoTracker Red DND-99 (ThermoFisher Scientific, Cat. # L7528) at a final concentration of 50 nM and a drop of NucBlue Live Cell Stain ReadyProbes (ThermoFisher Scientific, Cat. # R37605) were added to the medium to stain the lysosomes and nuclei. The cells were then washed and incubated with complete RPMI 1640 medium (Gibco, Cat. # 11875). The cells were imaged immediately and within 15 min after the complete medium was added using an SP8 confocal microscope (Leica).
For immunostaining, 1 X 105 HeLa cells expressing TFEB-GFP and control or C9orf72 shRNA were plated on glass coverslips in 12-well tissue culture plates and cultured for 72 hr. The cells were starved and stimulated by amino acid as described above. After amino acid stimulation for 10 min, the cells were washed twice with PBS, fixed with cold methanol for 5 min, washed with PBC three times, and incubated with blocking buffer (5% normal donkey serum in PBS). Rabbit anti-GFP (diluted in blocking buffer 1:1,000) was incubated with the cells overnight at 4°C, and the cells were then washed with PBS three times. Alexa 488-conjugated anti-rabbit secondary antibody was added at a 1:1000 dilution, and the cells were incubated in the dark for 2 hr at room temperature, then washed with PBS three times. Coverslips were mounted with Prolong Gold with DAPI (ThermoFisher, Cat. # P36931) and imaged with a 63X objective lens using an SP8 confocal microscope (Leica).
Quantitation and statistical analysis
All quantitation and statistical tests were performed using ImageJ and GraphPad Prism software (Version 7.0). The p-values were obtained using unpaired Student’s t-tests, unless otherwise noted in the figure legends.
Supporting information
S1 Fig [a]
Genetic interaction analysis of () with () or ().
S2 Fig [a]
Transcriptome analysis of WT and () . .
S3 Fig [a]
Characterization of . lacking the orthologue of C9orf72, .
S4 Fig [a]
Inhibition of mTOR by rapamycin enhances HLH-30::GFP translocation into the nucleus in . .
S5 Fig [a]
The interaction between C9orf72 and Rag GTPases.
S6 Fig [tif]
The schematic diagram for the role of C9orf72 in the regulation of Rag GTPases and TFEB signaling.
S1 Table [docx]
List of primers used for qPCR.
Zdroje
1. DeJesus-Hernandez M, Mackenzie Ian R, Boeve Bradley F, Boxer Adam L, Baker M, Rutherford Nicola J, et al. Expanded GGGGCC Hexanucleotide Repeat in Noncoding Region of C9ORF72 Causes Chromosome 9p-Linked FTD and ALS. Neuron. 2011;72(2):245–56. Epub 2011 Sep 21. doi: 10.1016/j.neuron.2011.09.011 21944778.
2. Renton Alan E, Majounie E, Waite A, Simón-Sánchez J, Rollinson S, Gibbs JR, et al. A Hexanucleotide Repeat Expansion in C9ORF72 Is the Cause of Chromosome 9p21-Linked ALS-FTD. Neuron. 2011;72(2):257–68. doi: 10.1016/j.neuron.2011.09.010 Epub 2011 Sep 21. 21944779.
3. Van Langenhove T, van der Zee J, Van Broeckhoven C. The molecular basis of the frontotemporal lobar degeneration-amyotrophic lateral sclerosis spectrum. Annals of medicine. 2012;44(8):817–28. Epub 2012/03/17. doi: 10.3109/07853890.2012.665471 22420316; PubMed Central PMCID: PMC3529157.
4. Kohli MA, John-Williams K, Rajbhandary R, Naj A, Whitehead P, Hamilton K, et al. Repeat expansions in the C9ORF72 gene contribute to Alzheimer's disease in Caucasians. Neurobiology of Aging. 2012. Epub 2012/10/31. doi: 10.1016/j.neurobiolaging.2012.10.003 23107433.
5. Majounie E, Abramzon Y, Renton AE, Perry R, Bassett SS, Pletnikova O, et al. Repeat expansion in C9ORF72 in Alzheimer's disease. N Engl J Med. 2012;366(3):283–4. Epub 2012/01/06. doi: 10.1056/NEJMc1113592 22216764.
6. Rollinson S, Halliwell N, Young K, Callister JB, Toulson G, Gibbons L, et al. Analysis of the hexanucleotide repeat in C9ORF72 in Alzheimer's disease. Neurobiology of Aging. 2012;33(8):1846 e5–6. Epub 2012/03/14. doi: 10.1016/j.neurobiolaging.2012.01.109 22410647.
7. Harms M, Benitez BA, Cairns N, Cooper B, Cooper P, Mayo K, et al. C9orf72 hexanucleotide repeat expansions in clinical Alzheimer disease. JAMA neurology. 2013;70(6):736–41. Epub 2013/04/17. doi: 10.1001/2013.jamaneurol.537 23588422; PubMed Central PMCID: PMC3681841.
8. Hensman Moss DJ, Poulter M, Beck J, Hehir J, Polke JM, Campbell T, et al. C9orf72 expansions are the most common genetic cause of Huntington disease phenocopies. Neurology. 2014;82(4):292–9. Epub 2013/12/24. doi: 10.1212/WNL.0000000000000061 24363131; PubMed Central PMCID: PMC3929197.
9. Goldman JS, Quinzii C, Dunning-Broadbent J, Waters C, Mitsumoto H, Brannagan TH, 3rd, et al. Multiple System Atrophy and Amyotrophic Lateral Sclerosis in a Family With Hexanucleotide Repeat Expansions in C9orf72. JAMA neurology. 2014. Epub 2014/04/16. doi: 10.1001/jamaneurol.2013.5762 24733620.
10. Bieniek KF, van Blitterswijk M, Baker MC, Petrucelli L, Rademakers R, Dickson DW. Expanded C9ORF72 Hexanucleotide Repeat in Depressive Pseudodementia. JAMA neurology. 2014. Epub 2014/04/24. doi: 10.1001/jamaneurol.2013.6368 24756204.
11. Galimberti D, Reif A, Dell'Osso B, Palazzo C, Villa C, Fenoglio C, et al. C9ORF72 hexanucleotide repeat expansion as a rare cause of bipolar disorder. Bipolar disorders. 2014;16(4):448–9. Epub 2013/12/18. doi: 10.1111/bdi.12169 24329881.
12. Gijselinck I, Van Langenhove T, van der Zee J, Sleegers K, Philtjens S, Kleinberger G, et al. A C9orf72 promoter repeat expansion in a Flanders-Belgian cohort with disorders of the frontotemporal lobar degeneration-amyotrophic lateral sclerosis spectrum: a gene identification study. Lancet Neurol. 2012;11(1):54–65. Epub 2011/12/14. doi: 10.1016/S1474-4422(11)70261-7 22154785.
13. Xi Z, Zinman L, Moreno D, Schymick J, Liang Y, Sato C, et al. Hypermethylation of the CpG island near the G4C2 repeat in ALS with a C9orf72 expansion. Am J Hum Genet. 2013;92(6):981–9. Epub 2013/06/05. doi: 10.1016/j.ajhg.2013.04.017 23731538; PubMed Central PMCID: PMC3675239.
14. Belzil VV, Bauer PO, Prudencio M, Gendron TF, Stetler CT, Yan IK, et al. Reduced C9orf72 gene expression in c9FTD/ALS is caused by histone trimethylation, an epigenetic event detectable in blood. Acta Neuropathol. 2013;126(6):895–905. Epub 2013/10/30. doi: 10.1007/s00401-013-1199-1 24166615; PubMed Central PMCID: PMC3830740.
15. Waite AJ, Baumer D, East S, Neal J, Morris HR, Ansorge O, et al. Reduced C9orf72 protein levels in frontal cortex of amyotrophic lateral sclerosis and frontotemporal degeneration brain with the C9ORF72 hexanucleotide repeat expansion. Neurobiol Aging. 2014;35(7):1779 e5- e13. Epub 2014/02/25. doi: 10.1016/j.neurobiolaging.2014.01.016 24559645; PubMed Central PMCID: PMC3988882.
16. Liu EY, Russ J, Wu K, Neal D, Suh E, McNally AG, et al. C9orf72 hypermethylation protects against repeat expansion-associated pathology in ALS/FTD. Acta Neuropathol. 2014;128(4):525–41. Epub 2014/05/09. doi: 10.1007/s00401-014-1286-y 24806409; PubMed Central PMCID: PMC4161616.
17. Maharjan N, Kunzli C, Buthey K, Saxena S. C9ORF72 Regulates Stress Granule Formation and Its Deficiency Impairs Stress Granule Assembly, Hypersensitizing Cells to Stress. Mol Neurobiol. 2017;54(4):3062–77. Epub 2016/04/03. doi: 10.1007/s12035-016-9850-1 27037575.
18. Shi Y, Lin S, Staats KA, Li Y, Chang WH, Hung ST, et al. Haploinsufficiency leads to neurodegeneration in C9ORF72 ALS/FTD human induced motor neurons. Nat Med. 2018. Epub 2018/02/06. doi: 10.1038/nm.4490 29400714.
19. Farg MA, Sundaramoorthy V, Sultana JM, Yang S, Atkinson RA, Levina V, et al. C9ORF72, implicated in amytrophic lateral sclerosis and frontotemporal dementia, regulates endosomal trafficking. Hum Mol Genet. 2014. Epub 2014/02/20. doi: 10.1093/hmg/ddu068 24549040.
20. Sellier C, Campanari ML, Julie Corbier C, Gaucherot A, Kolb-Cheynel I, Oulad-Abdelghani M, et al. Loss of C9ORF72 impairs autophagy and synergizes with polyQ Ataxin-2 to induce motor neuron dysfunction and cell death. EMBO J. 2016. doi: 10.15252/embj.201593350 27103069.
21. O'Rourke JG, Bogdanik L, Yanez A, Lall D, Wolf AJ, Muhammad AK, et al. C9orf72 is required for proper macrophage and microglial function in mice. Science. 2016;351(6279):1324–9. doi: 10.1126/science.aaf1064 26989253.
22. Amick J, Roczniak-Ferguson A, Ferguson SM. C9orf72 binds SMCR8, localizes to lysosomes and regulates mTORC1 signaling. Mol Biol Cell. 2016. doi: 10.1091/mbc.E16-01-0003 27559131.
23. Jung J, Nayak A, Schaeffer V, Starzetz T, Kirsch AK, Muller S, et al. Multiplex image-based autophagy RNAi screening identifies SMCR8 as ULK1 kinase activity and gene expression regulator. Elife. 2017;6. doi: 10.7554/eLife.23063 28195531.
24. Sullivan PM, Zhou X, Robins AM, Paushter DH, Kim D, Smolka MB, et al. The ALS/FTLD associated protein C9orf72 associates with SMCR8 and WDR41 to regulate the autophagy-lysosome pathway. Acta Neuropathol Commun. 2016;4(1):51. doi: 10.1186/s40478-016-0324-5 27193190; PubMed Central PMCID: PMC4870812.
25. Webster CP, Smith EF, Bauer CS, Moller A, Hautbergue GM, Ferraiuolo L, et al. The C9orf72 protein interacts with Rab1a and the ULK1 complex to regulate initiation of autophagy. EMBO J. 2016;35(15):1656–76. doi: 10.15252/embj.201694401 27334615.
26. Yang M, Liang C, Swaminathan K, Herrlinger S, Lai F, Shiekhattar R, et al. A C9ORF72/SMCR8-containing complex regulates ULK1 and plays a dual role in autophagy. Sci Adv. 2016;2(9):e1601167. doi: 10.1126/sciadv.1601167 27617292; PubMed Central PMCID: PMC5010369.
27. Ugolino J, Ji YJ, Conchina K, Chu J, Nirujogi RS, Pandey A, et al. Loss of C9orf72 Enhances Autophagic Activity via Deregulated mTOR and TFEB Signaling. PLoS Genet. 2016;12(11):e1006443. doi: 10.1371/journal.pgen.1006443 27875531; PubMed Central PMCID: PMC5119725.
28. Aoki Y, Manzano R, Lee Y, Dafinca R, Aoki M, Douglas AGL, et al. C9orf72 and RAB7L1 regulate vesicle trafficking in amyotrophic lateral sclerosis and frontotemporal dementia. Brain. 2017;140(4):887–97. Epub 2017/03/24. doi: 10.1093/brain/awx024 28334866.
29. Burberry A, Suzuki N, Wang JY, Moccia R, Mordes DA, Stewart MH, et al. Loss-of-function mutations in the C9ORF72 mouse ortholog cause fatal autoimmune disease. Science translational medicine. 2016;8(347):347ra93. doi: 10.1126/scitranslmed.aaf6038 27412785.
30. Liu Y, Wang T, Ji YJ, Johnson K, Liu H, Johnson K, et al. A C9orf72-CARM1 axis regulates lipid metabolism under glucose starvation-induced nutrient stress. Genes Dev. 2018;32(21–22):1380–97. Epub 2018/10/28. doi: 10.1101/gad.315564.118 30366907; PubMed Central PMCID: PMC6217731.
31. Therrien M, Rouleau GA, Dion PA, Parker JA. Deletion of C9ORF72 Results in Motor Neuron Degeneration and Stress Sensitivity in C. elegans. PLoS One. 2013;8(12):e83450. Epub 2013/12/19. doi: 10.1371/journal.pone.0083450 24349511; PubMed Central PMCID: PMC3861484.
32. Corrionero A, Horvitz HR. A C9orf72 ALS/FTD Ortholog Acts in Endolysosomal Degradation and Lysosomal Homeostasis. Curr Biol. 2018;28(10):1522–35 e5. Epub 2018/05/08. doi: 10.1016/j.cub.2018.03.063 29731301.
33. Baugh LR, Sternberg PW. DAF-16/FOXO regulates transcription of cki-1/Cip/Kip and repression of lin-4 during C. elegans L1 arrest. Curr Biol. 2006;16(8):780–5. Epub 2006/04/25. doi: 10.1016/j.cub.2006.03.021 16631585.
34. Kaplan RE, Chen Y, Moore BT, Jordan JM, Maxwell CS, Schindler AJ, et al. dbl-1/TGF-beta and daf-12/NHR Signaling Mediate Cell-Nonautonomous Effects of daf-16/FOXO on Starvation-Induced Developmental Arrest. PLoS Genet. 2015;11(12):e1005731. Epub 2015/12/15. doi: 10.1371/journal.pgen.1005731 26656736; PubMed Central PMCID: PMC4676721.
35. Harvald EB, Sprenger RR, Dall KB, Ejsing CS, Nielsen R, Mandrup S, et al. Multi-omics Analyses of Starvation Responses Reveal a Central Role for Lipoprotein Metabolism in Acute Starvation Survival in C. elegans. Cell Syst. 2017;5(1):38–52 e4. Epub 2017/07/25. doi: 10.1016/j.cels.2017.06.004 28734827.
36. Ashrafi K, Chang FY, Watts JL, Fraser AG, Kamath RS, Ahringer J, et al. Genome-wide RNAi analysis of Caenorhabditis elegans fat regulatory genes. Nature. 2003;421(6920):268–72. Epub 2003/01/17. doi: 10.1038/nature01279 12529643.
37. O'Rourke EJ, Soukas AA, Carr CE, Ruvkun G. C. elegans major fats are stored in vesicles distinct from lysosome-related organelles. Cell metabolism. 2009;10(5):430–5. Epub 2009/11/04. doi: 10.1016/j.cmet.2009.10.002 19883620; PubMed Central PMCID: PMC2921818.
38. Sardiello M, Palmieri M, di Ronza A, Medina DL, Valenza M, Gennarino VA, et al. A gene network regulating lysosomal biogenesis and function. Science. 2009;325(5939):473–7. doi: 10.1126/science.1174447 19556463.
39. Settembre C, Di Malta C, Polito VA, Garcia Arencibia M, Vetrini F, Erdin S, et al. TFEB links autophagy to lysosomal biogenesis. Science. 2011;332(6036):1429–33. doi: 10.1126/science.1204592 21617040; PubMed Central PMCID: PMC3638014.
40. Settembre C, De Cegli R, Mansueto G, Saha PK, Vetrini F, Visvikis O, et al. TFEB controls cellular lipid metabolism through a starvation-induced autoregulatory loop. Nat Cell Biol. 2013;15(6):647–58. Epub 2013/04/23. doi: 10.1038/ncb2718 23604321; PubMed Central PMCID: PMC3699877.
41. O'Rourke EJ, Ruvkun G. MXL-3 and HLH-30 transcriptionally link lipolysis and autophagy to nutrient availability. Nat Cell Biol. 2013;15(6):668–76. Epub 2013/04/23. doi: 10.1038/ncb2741 23604316; PubMed Central PMCID: PMC3723461.
42. Lapierre LR, De Magalhaes Filho CD, McQuary PR, Chu CC, Visvikis O, Chang JT, et al. The TFEB orthologue HLH-30 regulates autophagy and modulates longevity in Caenorhabditis elegans. Nature communications. 2013;4:2267. doi: 10.1038/ncomms3267 23925298; PubMed Central PMCID: PMC3866206.
43. Roczniak-Ferguson A, Petit CS, Froehlich F, Qian S, Ky J, Angarola B, et al. The transcription factor TFEB links mTORC1 signaling to transcriptional control of lysosome homeostasis. Science signaling. 2012;5(228):ra42. Epub 2012/06/14. doi: 10.1126/scisignal.2002790 22692423; PubMed Central PMCID: PMC3437338.
44. Kang C, You YJ, Avery L. Dual roles of autophagy in the survival of Caenorhabditis elegans during starvation. Genes Dev. 2007;21(17):2161–71. Epub 2007/09/06. doi: 10.1101/gad.1573107 17785524; PubMed Central PMCID: PMC1950855.
45. Meléndez A, Tallóczy Z, Seaman M, Eskelinen E-L, Hall DH, Levine B. Autophagy Genes Are Essential for Dauer Development and Life-Span Extension in C. elegans. Science. 2003;301(5638):1387–91. doi: 10.1126/science.1087782 12958363
46. Martina JA, Chen Y, Gucek M, Puertollano R. MTORC1 functions as a transcriptional regulator of autophagy by preventing nuclear transport of TFEB. Autophagy. 2012;8(6):903–14. Epub 2012/05/12. doi: 10.4161/auto.19653 22576015; PubMed Central PMCID: PMC3427256.
47. Settembre C, Zoncu R, Medina DL, Vetrini F, Erdin S, Erdin S, et al. A lysosome-to-nucleus signalling mechanism senses and regulates the lysosome via mTOR and TFEB. EMBO J. 2012;31(5):1095–108. Epub 2012/02/22. doi: 10.1038/emboj.2012.32 22343943; PubMed Central PMCID: PMC3298007.
48. Martina JA, Puertollano R. Rag GTPases mediate amino acid-dependent recruitment of TFEB and MITF to lysosomes. J Cell Biol. 2013;200(4):475–91. Epub 2013/02/13. doi: 10.1083/jcb.201209135 23401004; PubMed Central PMCID: PMC3575543.
49. Schurmann A, Brauers A, Massmann S, Becker W, Joost HG. Cloning of a novel family of mammalian GTP-binding proteins (RagA, RagBs, RagB1) with remote similarity to the Ras-related GTPases. J Biol Chem. 1995;270(48):28982–8. Epub 1995/12/01. doi: 10.1074/jbc.270.48.28982 7499430.
50. Sekiguchi T, Hirose E, Nakashima N, Ii M, Nishimoto T. Novel G proteins, Rag C and Rag D, interact with GTP-binding proteins, Rag A and Rag B. J Biol Chem. 2001;276(10):7246–57. Epub 2000/11/14. doi: 10.1074/jbc.M004389200 11073942.
51. Kim E, Goraksha-Hicks P, Li L, Neufeld TP, Guan KL. Regulation of TORC1 by Rag GTPases in nutrient response. Nat Cell Biol. 2008;10(8):935–45. Epub 2008/07/08. doi: 10.1038/ncb1753 18604198; PubMed Central PMCID: PMC2711503.
52. Sancak Y, Peterson TR, Shaul YD, Lindquist RA, Thoreen CC, Bar-Peled L, et al. The Rag GTPases bind raptor and mediate amino acid signaling to mTORC1. Science. 2008;320(5882):1496–501. Epub 2008/05/24. doi: 10.1126/science.1157535 18497260; PubMed Central PMCID: PMC2475333.
53. Tsun ZY, Bar-Peled L, Chantranupong L, Zoncu R, Wang T, Kim C, et al. The folliculin tumor suppressor is a GAP for the RagC/D GTPases that signal amino acid levels to mTORC1. Mol Cell. 2013;52(4):495–505. Epub 2013/10/08. doi: 10.1016/j.molcel.2013.09.016 24095279; PubMed Central PMCID: PMC3867817.
54. Goberdhan DC, Wilson C, Harris AL. Amino Acid Sensing by mTORC1: Intracellular Transporters Mark the Spot. Cell metabolism. 2016;23(4):580–9. Epub 2016/04/15. doi: 10.1016/j.cmet.2016.03.013 27076075; PubMed Central PMCID: PMC5067300.
55. Ciura S, Lattante S, Le Ber I, Latouche M, Tostivint H, Brice A, et al. Loss of function of C9orf72 causes motor deficits in a zebrafish model of amyotrophic lateral sclerosis. Ann Neurol. 2013;74(2):180–7. Epub 2013/05/31. doi: 10.1002/ana.23946 23720273.
56. Shao Q, Liang C, Chang Q, Zhang W, Yang M, Chen JF. C9orf72 deficiency promotes motor deficits of a C9ALS/FTD mouse model in a dose-dependent manner. Acta Neuropathol Commun. 2019;7(1):32. Epub 2019/03/06. doi: 10.1186/s40478-019-0685-7 30832726.
57. Wang M, Wang H, Tao Z, Xia Q, Hao Z, Prehn JHM, et al. C9orf72 associates with inactive Rag GTPases and regulates mTORC1-mediated autophagosomal and lysosomal biogenesis. Aging Cell. 2020:e13126. Epub 2020/02/27. doi: 10.1111/acel.13126 32100453.
58. Yamamoto A, Yue Z. Autophagy and its normal and pathogenic states in the brain. Annu Rev Neurosci. 2014;37:55–78. Epub 2014/05/14. doi: 10.1146/annurev-neuro-071013-014149 24821313.
59. Nixon RA. The role of autophagy in neurodegenerative disease. Nat Med. 2013;19(8):983–97. Epub 2013/08/08. doi: 10.1038/nm.3232 23921753.
60. Kao AW, McKay A, Singh PP, Brunet A, Huang EJ. Progranulin, lysosomal regulation and neurodegenerative disease. Nat Rev Neurosci. 2017;18(6):325–33. Epub 2017/04/25. doi: 10.1038/nrn.2017.36 28435163; PubMed Central PMCID: PMC6040832.
61. Nguyen DKH, Thombre R, Wang J. Autophagy as a common pathway in amyotrophic lateral sclerosis. Neurosci Lett. 2018. Epub 2018/04/08. doi: 10.1016/j.neulet.2018.04.006 29626651.
62. Zhang T, Hwang HY, Hao H, Talbot C Jr., Wang J. Caenorhabditis elegans RNA-processing protein TDP-1 regulates protein homeostasis and life span. The Journal of biological chemistry. 2012;287(11):8371–82. Epub 2012/01/11. doi: 10.1074/jbc.M111.311977 22232551; PubMed Central PMCID: PMC3318719.
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