Introduction
Tau is a neuronally-enriched microtubule-associated protein which was shown to play a role in regulating crucial molecular processes, such as synaptic plasticity, cell signalling, axonal transport, and molecular trafficking [
1‐
4]. The pre-mRNA which encodes tau is alternatively spliced, resulting in a protein that either has zero, one, or two amino-terminal inserts (0 N, 1 N, 2 N) as well as either three or four microtubule-binding repeats (3R or 4R). As a result of this splicing, within the human brain tau exists in six major isoforms (0N4R, 1N4R, 2N4R, 0N3R, 1N3R & 2N3R) [
5]. The functional domains of tau can be broadly divided into the following regions: an N-terminal projection domain (containing a phosphatase activating domain, the amino-terminal inserts and a proline-rich region), a microtubule-binding repeat domain, and a carboxy-terminal region [
6]. Tau can also be altered by a remarkable number of post-translational modifications, such as phosphorylation, glycation, and ubiquitination [
7].
Tau is heavily implicated in a number of neurodegenerative diseases, collectively termed tauopathies, in which tau displays an altered state of post-translational modification and forms aggregated filaments and dense tangles [
8]. Tauopathies can be further subdivided into primary tauopathies, in which tau is the main pathology-inducing molecule, such as frontotemporal dementia (FTD) [
9], and secondary tauopathies, in which tau pathology occurs together with amyloid-β (Aβ) deposition, as exemplified by Alzheimer’s disease (AD) [
10]. Although the majority of cases of these neurodegenerative diseases are sporadic [
11], a large number of familial mutations of the tau-encoding gene
MAPT, such as P301L [
12] and K369I [
13] have been associated with tauopathies, e.g. FTD and Pick’s disease. Transgenic rodent models expressing these FTD-mutant forms of human tau (hTau) recapitulate many aspects of tauopathies, including synaptic loss [
14] and impaired memory function [
15].
Tau is shown to cause neurotoxicity and dysfunction throughout the neuron, including in axonal and dendritic projections [
4], by impairing several molecular processes and hence, neuronal functions [
16]. One such cellular process which has recently been shown to be altered by tau is de novo protein synthesis [
17‐
20]. The synthesis of new proteins is vital in many neuronal processes, including, but not limited to, axonal guidance and regeneration [
21], synaptic plasticity [
22] and synaptic pruning [
23]. Protein synthesis is also required for the formation, maintenance and extinction of long-term memories [
24‐
26]. Recent studies have found that global protein synthesis is decreased by the expression of FTD-mutant hTau, with de novo proteomic analysis identifying a series of proteins which are altered in synthesis by FTD-mutant hTau [
17,
18]. Tau has also been observed to interact with a number of proteins which interact with mRNA such as the RNA-binding protein, T cell intracellular antigen 1 (TIA1) [
27] and the splicing factor proline and glutamine rich (SFPQ), also known as PTB-associated splicing factor (PSF) [
28]. However, the mechanism by which tau has its effect on translation remains unclear.
One potential way by which protein synthesis is altered by FTD-mutant hTau is through alterations to ribosomes. Tau has been shown to interact with these organelles in fractionation experiments performed on human brain samples, and this interaction is thought to be stronger in AD tissue compared to healthy controls [
19]. Select ribosomal proteins (RPs) have also been observed to have decreased synthesis in various mouse models of FTD, with the overall abundance of some of these RPs also being decreased in human AD and FTD brains [
17,
18]. Despite this, a robust characterization of the effect of FTD-mutant hTau on RP abundance and ribosomal function has been lacking.
Here, we utilized in vitro and in vivo models of tauopathies to examine the effect of FTD-mutant hTau on RP abundance and ribosomal function. By doing so, we revealed that protein synthesis and ribosomal biogenesis are impaired by hTau expression, and we identified 11 RPs which are altered in abundance by FTD-mutant hTau expression. We also showed that these effects are facilitated by the N-terminal projection domain of hTau (Proj-dom hTau). Together, our results highlight that the cellular translational machinery is severely impaired in tauopathy.
Materials and methods
Animal ethics and primary culture
K3 mice [
29] and control wild-type (WT) littermates of mixed gender were used. Mice were maintained on a 12 h light/dark cycle and provided access to food and water. All experiments were approved by and carried out in accordance with the guidelines of the Animal Ethics Committee of the University of Queensland [AEC QBI/554/17].
For primary cultures, cortices were dissected from individual K3 embryos at embryonic day 17, dissociated in a mixture of dissection media with papain, and then titrated in Neurobasal medium (Gibco, 21,103,049) supplemented with 5% fetal bovine serum (FBS), 2% B27 (Gibco, 17,504,044), 2 mM Glutamax (Gibco, 35,050,079) and 50 U/ml penicillin/streptomycin. The same number of cortical neurons was then plated into poly-D-lysine (PDL)-coated wells at 500,000 cells/well in a 12-well plate. After 72 h, the medium was replaced with Neurobasal medium with 2% B27 without FBS, and half of the medium was changed twice a week until the cells were collected. Cultures were maintained throughout at 37 °C in a humidified 5% CO2 incubator. At days 17 in vitro (DIV17), neurons were treated with 4 mM azidohomoalanine (AHA) (Click chemistry tools, 1066) for 16 h for fluorescent non‐canonical amino acid tagging western blot (FUNCAT-WB) analysis.
HEK293 cell transfection and non‐canonical amino acid treatment
HEK293 cells were cultured at 37 °C in a 5% CO2 saturated humidity incubator in Dulbecco's modified Eagle's medium (DMEM) (Thermo Fisher, 11,965‐092) supplemented with 10% FBS and 50 U/ml penicillin/streptomycin. The same number of cells was plated for each experiment for 24 h, followed by transfection with equal amounts of plasmid using lipofectamine LTX (Thermo Fisher, 15,338,100), as per the manufacturer's instructions. All plasmids used either the pEGFP-N1 (Addgene, 6085–1) or the pCMV (Addgene, 11,153) plasmid backbone. Tau was inserted into these vectors via PCR-digestion-ligation using either XhoI (NEB, R0146) and BamHI (NEB, R3136) for pEGFP-N1, or EcoRV (NEB, R3195) and NotI (NEB, R3189) for pCMV. To examine protein synthesis, all cells were treated with 4 mM AHA for a period of 16 h before being collected. For analysis after 7 days of expression, the cells were grown in neomycin as selection marker. Cells which were analyzed via polysome profiling were not treated with AHA.
FUNCAT-western blot and biochemical analysis
Cells were extracted in equal volumes of 1X radioimmunoprecipitation assay (RIPA) buffer (Cell Signaling, 9806), with protein concentrations determined using the bicinchoninic acid (BCA) assay (Thermo Fisher, 23,225). Newly synthesized proteins were then detected by incubating 15 µg of protein from each sample with IRDye800-DIBO (LI‐COR, 929-50,000, 1:200,000) for one hour at room temperature. Samples were then denatured via boiling 1 × Laemmli buffer, separated via SDS–PAGE and transferred to a PVDF membrane using a Turbo Transfer System (Bio‐Rad). For total protein visualization, REVERT total protein stain (LI‐COR, 926‐11,010) was used. For analysis of samples from 5 month old K3 and WT mice, proteins were extracted from one hemisphere using RIPA buffer as previously described [
30]. For the detection of specific proteins, membranes were first blocked with Odyssey Tris-buffered saline (TBS) blocking buffer (LI‐COR, 927‐50,000). Membranes were then separately incubated overnight at room temperature with the following primary antibodies: Tau12 (kind gift from Dr Nicholas Kanaan, Michigan State University; 1:10,000), Tau 5 (Millipore, MAB361, 1:2,000), RPL5 (Abcam, ab86863, 1:1,000), RPS14 (ProteinTech, 16,683-1-AP, 1:1,000), RPS6 (Cell signaling, 5402, 1:500), and RPL22 (NOVUS Biologicals, NBP1-06,069, 1:1,000). Primary antibodies were added into Odyssey TBS blocking buffer. Proteins were detected using either IRDye680 anti‐rabbit IgG (LI‐COR, 926–68,071, 1:15,000), IRDye680 anti‐mouse IgG (LI‐COR, 926–68,070: 15,000) or IRDye680 anti-goat IgG (LI‐COR, 926–68,024, 1:15,000), and imaged and quantified using a LI‐COR Odyssey FC scanner. Western blots were quantified using the LI‐COR Light Studio software, with the total protein stain REVERT used for normalization.
Quantification of ribosomal mRNAs
For the quantification of ribosomal mRNA encoding RPL5, RPS14, RPS6 and RPL22, a semi-quantitative real-time polymerase chain reaction (qRT-PCR) protocol was adapted [
31]. Briefly, total mRNA from cells expressing the constructs for either 24 h or 7 days was isolated using TRIzol lysis buffer (ThermoFisher, 15,596,026) and RNeasy kits (Qiagen, 74,004) following the manufacturer’s specification. Reverse transcription of 200 µg RNA was performed using a kit containing SuperScript III reverse transcriptase (ThermoFisher, 18,080,093) in the presence of random hexamers. The resulting cDNA was diluted 1:4, and 1 µL of the dilution was used in a qRT-PCR reaction mix containing exon-exon spanning gene-specific primers (IDT) and SYBR Green (Bio-Rad, 172–5271). The qRT-PCR was performed using a CFX384 Touch detection system (Bio-Rad) and the results were evaluated using the manufacturer’s software, with amplification specificity being confirmed by analyzing the melting curve specificity. The change in mRNA of the genes of interest was assessed against Gapdh mRNA, with Gapdh proteins being confirmed as an adequate house-keeping gene in our proteomic analysis. The qRT-PCR quantification was performed using the ΔΔCt method.
Polysome profiling
Polysome profiling was performed as previously described but with minor modifications [
32]. Briefly, transfected HEK293 cells were treated with 10 mg/mL cycloheximide (CHX) (Sigma-Aldrich, 01,810) for 3 min. Taking care to avoid RNAse contamination, cells were then placed on ice and washed in PBS with 10 mg/mL CHX, after which they were lysed in fresh lysis buffer (50 mM KCl, 20 mM Tris.HCl pH 7.5, 10 mM MgCl
2, 1% Triton X100, 1 mM 1,4-dithiothreitol (DTT), 0.5% w/v sodium deoxycholate, 1X protease and phosphatase inhibitors, 10 mg/mL CHX, 1:1000 RNAse OUT inhibitor (Invitrogen, 10,777–019)). Samples were then centrifuged for 5 min at 13,000 × g at 4 °C. The supernatant was then loaded onto a 10–50% sucrose linear gradient (50 mM KCl, 20 mM Tris-HCl pH 7.5, 10 mM MgCl
2) created using the BioComp gradient station (BioComp, 153). The 40S and 60S ribosomal subunits, along with monosomes and polysomes were then separated via centrifugation at 235,000 × g at 4 °C for 2 h and detected using the BioComp TRIAX flow gradient collection system (BioComp, FC-1-26). Abundance of the various ribosomal complexes was quantified by calculating area under the curve (AUC) for these regions of the polysome profile.
Nano‐liquid chromatography tandem mass spec (nano‐LC MS/MS) label free quantification
In preparation of analysis via nano-LC MS/MS, samples were reduced with 5 mM DTT at 60 °C for 30 min, followed by alkylation in 10 mM iodoacetamide (IAA) for 15 min in the dark at 25 °C, with excess IAA being quenched with an equivalent amount of DTT. Samples were then acidified with 12% orthophosphoric acid, then with S-trap loading buffer (90% methanol, 100 mM tetraethylammonium bromide (TEAB), pH 7.1). Proteins were then loaded onto an S-trap micro (Protifi), before being digested with 1.4 μg Tryspin in 100 mM TEAB for 1.5 h at 37 °C. After digestion, peptides were eluted from the trap with 100 mM TEAB, 0.2% formic acid, then 50% acetonitrile 0.2% formic acid, followed by lyophilization. Peptides were reconstituted with 30 μL of 0.1% formic acid, with 6μL of sample being loaded for injection. Peptide samples were injected (6 μl) onto the peptide trap column and washed with loading buffer for 10 min. The peptide trap was then switched in line with the analytical nano-LC column. Peptides were eluted from the trap onto the nano-LC column and separated with a linear gradient of 3.5% mobile phase B to 25% mobile phase B over 70 min at a flow rate of 600 nl/min and then held at 85% B for 8 min prior to re-equilibration.
The column eluent was directed into the ionization source of the mass spectrometer operating in positive ion mode. Peptide precursors from 350 to 1850 m/z were scanned at 60 k resolution. The 20 most intense ions in the survey scan were fragmented using a normalized collision energy of 33 with a precursor isolation width of 1.3 m
/z. Only precursors with charge state + 2 to + 5 were subjected to MS/MS analysis. The MS method had a minimum signal requirement value of 4.3 × 10
4 for MS2 triggering, an AGC target value of 3 × 10
6 and a maximum ion injection time of 45 ms. MS2 scan resolution was set at 3 × 10
4, an AGC target value of 1 × 10
5 and a maximum injection time of 70 ms. MS/MS scan resolution was set at 3 × 10
4 and dynamic exclusion was set to 30 s. The mass spectrometric data files were searched using Proteome Discoverer (Thermo, Version_2.1) embedded with search engine SequestHT against
Mus musculus (17,002 sequences, accessed November 2019,
https://www.uniprot.org/) protein sequences downloaded from the UniProt database. Label free quantification proteomic data were normalised to total protein abundance in each sample. Technical replicates were averaged for each sample. Fold-change to WT samples were then compared via Student’s t-test with proteins having a
p value ≤ 0.05 and an absolute fold-change ≥ 1.5 being classified as being differentially expressed.
Network analysis was performed as previously described [
24], with minor modifications. Briefly, data from the label-free quantitative mass spectrometry were mapped to the STRING protein query database for
Mus musculus using Cytoscape (v3.8.2) and the edge-weighted spring-embedded layout. A STRING confidence of interaction score cut-off of 0.7 was used. Clusters of regulated proteins were identified using Molecular Complex Detection (MCODE) [
33]. The proteins in these clusters where then analyzed using the REACTOME database.
Statistical analysis
All statistical analysis was performed on samples run at least in experimental triplicate, as detailed in the Figure legends. Statistics was performed in GraphPad Prism 7.0 software, using either one‐way ANOVA or Student's t‐test, with Tukey's multiple comparison test (MCT), as appropriate. All values are given as mean ± standard error of the mean (SEM). Significance was defined as *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
Discussion
Aberrant changes in the microtubule-associated protein tau can severely impair the fundamental cellular process of protein synthesis [
17‐
19]. These studies have also suggested that changes in the synthesis of ribosomal proteins (RPs) may be, in part, responsible for the observed changes in protein synthesis. Despite this, until present, a robust analysis of how RP abundance and ribosomal function are altered in models of tauopathy has been lacking. In the current study, we utilised proteomics, mRNA quantification, non-canonical amino acid labelling and polysome profiling to examine how the translational machinery is altered by the presence of various forms of human tau. By quantifying the levels of 72 of the ≈80 eukaryotic RPs, we revealed that 11 of these RPs were altered in their abundance in primary neurons cultured from the K3 mouse model of FTD, with 10 of these RPs showing decreased levels. By analysing a subset of these dysregulated RPs via western blotting, we revealed that RP abundance was also altered in both adult K3 mice and HEK293 cells transfected with various forms of human tau (hTau). Using polysome profiling, we also determined that FTD-mutant hTau expression can impair the biogenesis of the 60S ribosomal subunit and decrease the abundance of polysomes and monosomes. Lastly, we demonstrated that expression of the N-terminal projection domain of hTau alone was sufficient to impair protein synthesis and ribosomal biogenesis.
The eukaryotic ribosome is a large RNA–protein complex which contains two ribosomal subunits: the large 60S and the small 40S subunit. Together, these subunits consist of the 28S, 18S, 5.8S and 5S rRNAs and approximately 80 RPs [
38]. While previous work has suggested that RP synthesis is decreased in models of FTD [
17,
18], the effect of FTD-mutant hTau on overall RP abundance has remained unclear until now. In this study, we demonstrated that K369I-hTau expressing primary neurons had decreased abundance of 10 RPs (RPS2, RPS5, RPS14, RPS28, RPL5, RPL18, RPL23a, RPL35, RPL36 and MRPL12) (Fig.
1b). We also confirmed that the abundance of RPL5 and RPS14 was decreased in 5 month-old K3 mice (Fig.
1d).
Additionally, we observed an increased abundance of RPS6 in both K3 primary neurons and HEK293 cells expressing P301L-hTau for 7 days (Figs.
1b,
3a). Increased RPS6 signalling has previously been observed in other models of tauopathy, with the phosphorylation of RPS6 being increased when hTau was co-expressed with the tyrosine kinase, Fyn [
20]. Interestingly, we observed that, unlike in vitro (Figs.
1b,
2a,
3a,
4a), in 5 month-old K3 mice compared to their WT littermates, RPS6 was decreased (Fig.
1d). This, together with a similar decrease in RPL22 in K3 mice, suggests that prolonged FTD-mutant hTau expression may lead to a greater decline in ribosomal protein abundance. Changes in RP abundance have also been suggested to occur in Parkinson’s disease [
39], AD [
40] and spinal muscular atrophy [
41]. Taken together with our findings this would suggest that alterations in RP abundance are a hallmark of neurodegenerative diseases.
One potential mechanism for how these changes in RP abundance are caused is through alterations to the mammalian target of rapamycin (mTOR) signal transduction pathway, which can regulate the translation of select mRNAs, including many of the mRNAs which encode RPs [
42‐
44]. Alterations in mTOR signaling have been observed in AD [
45], and the synthesis of mTOR was found decreased in K3 mice [
17]. These changes in mTOR may contribute to the alteration in RP abundance we observed here in in vitro models of tauopathy.
We also found that additional proteins involved in translation were decreased in abundance in K3 primary neurons. This included the eukaryotic initiation factors (eIFs) eIF3E, eIF4G2, eIF4B, eIF3G and eIF5, the eukaryotic peptide chain release factor eTF1, as well as proteins involved in pre-mRNA splicing such as ELAV-like protein 1 and splicing factor 3A (Additional file
1, Additional file
5).
Our polysome profiling analysis revealed that various forms of hTau can decrease the levels of the 60S ribosomal subunit, suggestive of an impairment in 60S ribosomal biogenesis. This decrease in 60S subunit abundance likely contributed to the decrease in monosomes and polysomes resulting from aberrant hTau expression, although tau may also decrease monosome and polysome numbers through mechanisms independent of altering ribosomal biogenesis. Interestingly, both FTD-mutant hTau and
Proj-dom hTau decreased protein synthesis and 60S biogenesis already after 24 h of expression, without detectably altering the abundance of RPs belonging to the 60S ribosomal subunit (Figs.
2a, b,
4b, c). Furthermore, despite the decreased abundance of RPs being evenly distributed across the 60S and 40S subunits, cells which expressed either hTau or FTD-mutant hTau for a period of 7 days only showed decreased levels of the 60S ribosomal subunit, with the abundance of the 40S subunit being unaltered (Fig.
3a,b). Taken together, these findings would suggest that hTau may exert its effect on protein synthesis and 60S ribosomal subunit biogenesis independently of altering RP abundance.
We also observed that the effect of hTau upon protein synthesis, RP abundance and ribosomal complex formation was not unique to FTD-mutant hTau. After longer periods of expression non-mutant hTau was also able to decrease protein synthesis and the abundance of RPL5, RPS14, polysomes, monosomes, and the 60S subunit (Fig.
3a,b). This is aligned with previous findings showing that hTau alters polysome abundance when incubated with yeast ribosomes [
46]. However, we also found that the effect of non-mutant hTau on protein synthesis, RP abundance and ribosomal complexes was less pronounced than for FTD-mutant hTau (Fig.
3a,b) and that, unlike FTD-mutant hTau, alterations to the protein translational machinery were only detectable after 7 days of non-mutant hTau overexpression. These results suggest that the effect of hTau on protein synthesis and ribosomes is accelerated by the presence of FTD-associated mutations.
Interestingly, unlike full-length non-mutant hTau, expression of the
Proj-dom hTau for 24 h was sufficient to decrease protein synthesis and the abundance of polysomes, monosomes, and the 60S ribosomal subunit (Fig.
4b,c). This demonstrates that the ability for hTau to decrease protein synthesis and ribosomal complex formation is facilitated by its N-terminal projection domain.
One possible explanation for the observed differences in the abilities of FTD-mutant hTau, non-mutant hTau, and
Proj-dom hTau to impact the protein translation machinery is through changes to the conformation of tau. Tau has been claimed to exist in a ‘paperclip-like’ conformation, by which the N-terminal projection domain and the carboxy-terminal region fold back toward the microtubule-binding region (Fig.
4a) [
47]. When tau is bound to microtubules, the interaction between these different regions of tau is thought to be stronger, leading to a more ‘closed’ conformation of the N-terminal projection domain [
48]. However, when tau is not bound to microtubules or is phosphorylated at specific sites, the N-terminal projection domain is thought to interact with other proteins more easily [
48,
49].
It is therefore possible that in the case of non-mutant hTau, the majority of tau exists in this more ‘closed’ conformation at 24 h, preventing the N-terminal projection domain of tau from interacting (either directly or indirectly) with ribosomes. As a result, we only observed decreases in protein synthesis and ribosomal complex formation after 7 days of non-mutant hTau expression, when sufficient tau was in a more ‘open’ conformation, either through changes in phosphorylation or microtubules saturated with tau. However, when expressing only the N-terminal projection domain of hTau, this domain is thought to be fully exposed and therefore maybe more able to affect ribosomes. This may in turn explain the pronounced decreases in protein synthesis and ribosomal complex formation observed after only 24 h of
Proj-dom hTau expression. In regard to FTD-mutant hTau, mutations such as P301L and K369I are thought to alter the conformation of tau [
50] and decrease microtubule binding [
51], which may increase the ability of tau to aberrantly interact with other molecules [
48]. This change in conformation may explain why the N-terminal projection domain of FTD-mutant hTau is able to decrease protein synthesis and ribosomal complex formation faster and to a more pronounced level than non-mutant hTau.
While it is likely that other toxic effects of tau pathology contribute to decreased protein synthesis and ribosomal biogenesis, there is growing evidence to suggest that tau interferes with these processes directly, with tau being observed to be able to decrease protein synthesis and ribosomal complex formation even when isolated from the cell [
19,
46]. Tau may also impair ribosomal biogenesis directly through its interactions with the nucleus, as ribosomal biogenesis is initiated at the nucleolus and requires ribosomal proteins to be imported into the nucleus [
52]. Indeed, tau has been observed to relocate to the nucleolus [
53] and to block nuclo-cytoplasmic transport in tauopathy models [
54], which could impair ribosomal biogenesis.
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