Nuclear clearance of TDP‐43 into cytoplasmic aggregates is a key driver of neurodegeneration in amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTLD), but the mechanisms are unclear. Here, we show that TDP‐43 knockdown specifically reduces the number and motility of RAB11‐positive recycling endosomes in dendrites, while TDP‐43 overexpression has the opposite effect. This is associated with delayed transferrin recycling in TDP‐43‐knockdown neurons and decreased β2‐transferrin levels in patient CSF. Whole proteome quantification identified the upregulation of the ESCRT component VPS4B upon TDP‐43 knockdown in neurons. Luciferase reporter assays and chromatin immunoprecipitation suggest that TDP‐43 represses VPS4B transcription. Preventing VPS4B upregulation or expression of its functional antagonist ALIX restores trafficking of recycling endosomes. Proteomic analysis revealed the broad reduction in surface expression of key receptors upon TDP‐43 knockdown, including ErbB4, the neuregulin 1 receptor. TDP‐43 knockdown delays the surface delivery of ErbB4. ErbB4 overexpression, but not neuregulin 1 stimulation, prevents dendrite loss upon TDP‐43 knockdown. Thus, impaired recycling of ErbB4 and other receptors to the cell surface may contribute to TDP‐43‐induced neurodegeneration by blocking trophic signaling.
TDP‐43 loss of function as seen in ALS and FTLD inhibits trafficking of recycling endosomes in rat and human neurons. Impaired recycling to the cell surface inhibits trophic signaling of ErbB4 and other receptors.
TDP‐43 knockdown inhibits motility of recycling endosomes in dendrites by inducing the expression of VPS4B, an ESCRT disassembly factor, and direct binding partner of ALS gene CHMP2B (ALS17/FTD3).
Trafficking of recycling endosomes is rescued by knockdown of VPS4B or overexpression of its antagonist ALIX.
TDP‐43 knockdown or VPS4B overexpression delays recycling of ErbB4 (ALS19) and other receptors and adhesion molecules to the cell surface.
Dendrite loss upon TDP‐43 knockdown is rescued by the expression of ErbB4, but not its ligand NRG1, indicating that the loss of TDP‐43 inhibits trophic signaling.
We find evidence for an impaired recycling endosome function in ALS/FTLD brain and CSF.
TDP‐43 is a DNA/RNA‐binding protein that represses transcription and regulates RNA metabolism predominantly in the nucleus. Cytoplasmic TDP‐43 inclusions are pathological hallmarks of most ALS and FTLD cases, and their regional distribution correlates remarkably well with neurodegeneration (Geser et al, 2009b; Ling et al, 2013). Degeneration of the frontal and temporal lobe in FTLD causes behavioral changes as well as speech and language impairment. Degeneration of upper and lower motoneurons in ALS leads to progressive paralysis (Ferrari et al, 2011). Both diseases often overlap clinically and share a strong genetic component with several genes linked to both ALS and FTLD (Ling et al, 2013). Pathogenic mutations in TDP‐43 are found in 1–3% of familial ALS cases and seem to mainly promote aggregation without the obvious deleterious effects on the function of the soluble TDP‐43 (Kabashi et al, 2008; Sreedharan et al, 2008; Johnson et al, 2009). Intriguingly, TDP‐43 inclusions are found in about 90% of ALS and 45% of FTLD cases (Geser et al, 2009a; Mackenzie et al, 2010), including most sporadic cases without known causal mutation. Hippocampal TDP‐43 inclusions are also common in Alzheimer cases, where they are associated with cognitive decline (Davidson et al, 2011).
Most cells with TDP‐43 aggregates show nearly complete clearance of nuclear TDP‐43, suggesting a combination of loss of nuclear function and gain of toxic function. Although the physiological role of TDP‐43 is incompletely understood, many putative RNA targets have been identified, which are essential for neuronal function and survival (Buratti et al, 2013). Despite the mostly nuclear localization of TDP‐43, a smaller cytoplasmic TDP‐43 fraction has been implicated in axonal trafficking of mRNA transport granules (Alami et al, 2014). Overexpression of wild‐type or mutant TDP‐43 causes neuron loss, and complete TDP‐43 knockout is lethal in mice (Gendron & Petrucelli, 2011). Selective neurodegeneration in conditional knockout mice suggests that cell‐autonomous effects govern the toxicity (Wu et al, 2012). As homozygous knockout mice die in an early embryonic stage, TDP‐43 is thought to have a crucial role in fundamental cellular pathways (Gendron & Petrucelli, 2011). Despite a large number of RNAs potentially binding to TDP‐43, the major cause of neurotoxicity upon knockout is still unclear (Polymenidou et al, 2011; Tollervey et al, 2011).
Several proteins genetically linked to TDP‐43 pathology play important roles in the endolysosomal pathway, which consists of different vesicle pools distinguishable by specific RAB‐GTPases that regulate vesicle transport. The key compartments are RAB5‐positive early endosomes, RAB11‐positive recycling endosomes, and RAB7‐positive late endosomes/lysosomes (Schwartz et al, 2007). In addition, RAB4‐positive endosomes allow faster recycling to the plasma membrane by skipping the endosomal recycling compartment critical for RAB11‐dependent recycling (Sonnichsen et al, 2000; Maxfield & McGraw, 2004). This network governs the sorting of internalized cell surface proteins either for lysosomal degradation or for recycling to the plasma membrane and thus controls cellular signaling. CHMP2B is part of the endosomal sorting complexes required for transport (ESCRT) that mediates membrane remodeling, and rare FTLD‐causing mutations in CHMP2B disrupt endocytic trafficking and fusion with lysosomes (Skibinski et al, 2005; Urwin et al, 2010). The ESCRT complex consists of four cytosolic protein complexes (ESCRT‐0, ‐I, ‐II, and ‐III) that regulate together with ESCRT accessory factors, for example, VPS4 and ALIX, membranes bending and budding. This machinery is crucial for cellular processes such as vesicle sorting, MVB biogenesis, virus budding, and cellular abscission (Tu et al, 2011). Moreover, the FTLD‐TDP risk factor TMEM106B controls trafficking of RAB7‐positive lysosomes in dendrites (Schwenk et al, 2014; Stagi et al, 2014). While GRN haploinsufficiency is a common cause of FTLD with TDP‐43 pathology, rare patients with homozygous loss of GRN suffer from the lysosomal storage disease neuronal ceroid lipofuscinosis (Smith et al, 2012). Vice versa, patients with neuronal ceroid lipofuscinosis show signs of TDP‐43 pathology (Gotzl et al, 2014). Pathogenic mutations in TBK1 and OPTN suggest that altered autophagy may trigger ALS and FTLD with TDP‐43 pathology (Cirulli et al, 2015; Freischmidt et al, 2015). These chronic defects in protein degradation eventually lead to the aggregation of TDP‐43. Here, we asked how loss of TDP‐43 harms neuron function using live imaging of endosomes in primary neurons transfected with different fluorescently labeled vesicular markers and identified new TDP‐43 targets by whole proteome quantification. We validated key findings in patient‐derived material. This uncovered an unexpected link of TDP‐43 with another ALS‐associated gene, ErbB4.
Loss of TDP‐43 in primary neurons reduces the number and motility of recycling endosomes
To analyze the role of TDP‐43 on trafficking in the endolysosomal compartment in primary neurons, we generated specific shRNA constructs. Knockdown efficiency was confirmed on mRNA and protein levels in rat primary hippocampal neurons transduced with a lentivirus expressing either the TDP‐43 shRNA (shTDP) or a control shRNA (shCtrl, targeting firefly luciferase) (Appendix Fig S1A–C). Moreover, transfecting hippocampal neurons with the TDP‐43 shRNA reduced TDP‐43 levels detected by immunofluorescence within three days (Appendix Fig S1D).
Next, we cotransfected hippocampal neurons at six days in vitro with shTDP or shCtrl together with GFP‐tagged vesicle markers (RAB4, RAB5, RAB7, RAB11) to analyze how the loss of TDP‐43 affects endolysosomal trafficking (Figs 1, EV1, and EV2). After three days of knockdown (DIV6+3), we analyzed organelle transport in dendrites by live cell imaging of the transfected neurons and subsequently transformed the images into kymographs (path‐time diagrams of organelle transport) to visualize the movement pattern. We quantified the total number and the number of moving and stationary GFP‐labeled vesicles from these kymographs. Among the tested vesicle pools, TDP‐43 knockdown had the strongest effect on RAB11‐positive recycling endosomes. The dendritic motility of GFP‐RAB11‐labeled endosomes was strongly reduced in TDP‐43‐knockdown neurons compared to controls (Fig 1A–C). While the number of stationary recycling endosomes was unchanged, the number of mobile recycling endosomes was reduced to half upon TDP‐43 knockdown (Fig 1B) resulting in an overall loss of RAB11‐positive recycling endosomes (Fig 1C). We found no colocalization of TDP‐43 and GFP‐RAB11 in primary neurons (Appendix Fig S1E), suggesting that TDP‐43 regulates a key protein in the recycling pathway. The effects of TDP‐43 on recycling endosome motility were fully confirmed using a second shRNA (Appendix Fig S2A–D). In contrast, knockdown of TMEM106B, linked to TDP‐43 pathology and lysosomal trafficking (Schwenk et al, 2014; Stagi et al, 2014), did not affect GFP‐RAB11‐labeled recycling endosomes (Appendix Fig S2E–H). Thus, TDP‐43, but not TMEM106B, is required to maintain the proper number and motility of RAB11‐positive recycling endosomes in dendrites.
To test whether this phenotype is conserved in humans and thus may be relevant for FTLD/ALS, we additionally analyzed trafficking of recycling endosomes upon TDP‐43 knockdown in human neurons. We transduced iPSC‐derived human neurons with a lentivirus expressing a shRNA targeting human TDP‐43 or a control shRNA (Fig 1D). Similar to rat neurons, GFP‐RAB11‐labeled recycling endosomes were less abundant and less motile (Fig 1E–G). Hence, the role of TDP‐43 in promoting the motility of recycling endosomes is conserved between rats and humans.
Trafficking of other organelles remains intact in TDP‐43‐knockdown neurons
To rule out an overall transport defect upon TDP‐43 knockdown, we analyzed the trafficking of mitochondria labeled by cotransfection with mito‐GFP in rat primary neurons. Mitochondria number and motility were undistinguishable in the dendrites of neurons transfected with TDP‐43 or control shRNA (Fig EV1A–C), suggesting that the loss of TDP‐43 has no general effect on microtubule‐mediated transport.
Trafficking of the other endosomal populations was also not affected by TDP‐43 knockdown as analyzed by live cell imaging of GFP‐RAB5‐labeled (early endosomes) and GFP‐RAB4‐labeled (endosomes directly recycling to the plasma membrane) vesicles (Fig EV1D–I). However, TDP‐43 knockdown slightly promoted the motility of GFP‐RAB7‐labeled lysosomes (Fig EV2A and B). In contrast to the retrograde‐specific increase in lysosomal motility upon TMEM106B knockdown (Schwenk et al, 2014), TDP‐43 knockdown increased both anterograde and retrograde lysosomal trafficking equally (Fig EV2C). The overall number of GFP‐RAB7‐labeled lysosomes remained unchanged upon TDP‐43 knockdown (Fig EV2D).
Thus, TDP‐43 loss specifically inhibits the motility of RAB11‐positive recycling endosomes in the dendrites potentially in favor of lysosomal motility without impairing the transport of RAB5‐positive early endosomes, RAB4‐positive fast recycling endosomes or mitochondria.
TDP‐43 knockdown inhibits transferrin recycling
To elucidate the functional consequences of impaired trafficking of recycling endosomes, we analyzed the constitutive uptake and recycling of the prototypical cargo transferrin through the endocytic pathway. After receptor binding, the receptor–ligand complex is endocytosed via clathrin‐coated vesicles and transported to the early/sorting endosome. Unlike many other ligands, transferrin does not dissociate from its receptor to terminate signaling, but the whole complex is transferred back to the plasma membrane mainly via the ERC and RAB11‐positive recycling endosomes (Sonnichsen et al, 2000). We quantified transferrin recycling by measuring the amount of exogenously added fluorescently labeled transferrin in the neurons directly after endocytosis and 20 or 60 min afterward. Control shRNA‐transduced rat neurons released 40% of the endocytosed transferrin within 20 min and 60% within 60 min (Fig 2A and B). In contrast, TDP‐43‐knockdown neurons initially took up the same amount of labeled transferrin, but released about 30% less after 20 and 60 min, indicating that recycling to the plasma membrane is delayed.
To corroborate this finding in patient material, we quantified the transferrin level in the CSF of 55 sporadic ALS patients and 65 controls. To exclude the possible confounds of altered systemic iron metabolism (Nadjar et al, 2012) as much as possible, we focused our analysis on the CSF‐specific β2‐transferrin. Consistent with normal endocytosis but reduced recycling seen in our neuronal model, the ALS patients had lower β2‐transferrin levels in CSF than healthy age‐matched controls (Fig 2C). A smaller reduction was seen in patients with FTD‐ALS (12 patients) and behavioral variant FTD (16 patients), which likely suffer from TDP‐43 pathology, although this did not reach statistical significance due to the smaller cohort size.
To confirm that the reduced transport and recycling contributed to the elevated intracellular transferrin levels in the neurons and decreased levels in the extracellular CSF, we analyzed the motility of transferrin‐containing vesicles by live cell imaging. We again added Alexa‐labeled transferrin to the neurons and imaged 20 min after endocytosis, when most of endocytosed fluorescent transferrin is expected to have reached the endosomal recycling compartment (Sonnichsen et al, 2000). Importantly, labeled transferrin was significantly less mobile in shTDP‐transfected neurons than in controls (Fig 2D–F), consistent with the results using GFP‐RAB11 transfection (compare Fig 1).
Thus, TDP‐43 loss of function impairs dendritic trafficking of recycling endosomes. Evidence for impaired recycling activity is found in rat and human neurons and CSF from ALS patients.
Overexpression of nuclear, but not cytoplasmic, TDP‐43 enhances recycling endosome transport
Next, we asked whether overexpression of wild‐type TDP‐43 or a mutant lacking the nuclear localization signal (ΔNLS) would promote recycling endosome motility (Fig 3A). Neurons transfected with wild‐type TDP‐43 showed a higher number of GFP‐RAB11‐positive recycling endosomes compared to vector‐transfected cells, which was exclusively due to an increase in the number of mobile GFP‐RAB11‐positive vesicles (Fig 3B–D). In contrast, the predominantly cytoplasmic ΔNLS mutant did not affect the number and motility of recycling endosomes. The opposite effects of TDP‐43 knockdown and overexpression on recycling endosome motility and abundance further support the specificity of these findings (compare Figs 1 and 3) and suggest that they are mediated by nuclear TDP‐43 rather than the smaller cytoplasmic fraction.
To further address whether the loss of nuclear TDP‐43 mediates the effects of TDP‐43 knockdown, we performed rescue experiments using TDP‐43 wild type and ΔNLS. Remarkably, coexpression of wild‐type, but not mutant, TDP‐43 together with TDP‐43 shRNA partially restored the number and motility of GFP‐RAB11‐labeled recycling endosomes (Fig EV3). In summary, these data indicate that nuclear TDP‐43 promotes recycling endosome motility by controlling the expression or splicing of a key regulatory factor in this pathway.
TDP‐43 represses transcription of the ESCRT‐III accessory protein VPS4B
To elucidate how TDP‐43 might regulate recycling endosome trafficking, we performed a quantitative whole proteome analysis in cortical neurons upon lentiviral TDP‐43 knockdown or control (DIV2+7) using a label‐free LC‐MS/MS pipeline (Hornburg et al, 2014) (Fig 4A). We observed an upregulation of proteins involved in lipid metabolism and a strong downregulation of proteins annotated for neuron projection, synapse, and various transport processes upon TDP‐43 knockdown (Fig 4B and Table EV1). Comparing 5,077 quantified proteins, 63 were changed at least threefold (log2 cutoff 1.58; Table EV1). However, the overall changes in protein expression were modest despite the large number of putative TDP‐43 target genes. Among the affected proteins, VPS4B (vacuolar protein sorting 4 homolog B) was one of the strongest upregulated (3.8‐fold) upon TDP‐43 knockdown. VPS4B directly binds to the ALS/FTLD gene CHMP2B to disassemble the ESCRT complex and has been implicated in endosomal sorting and transport (Stuchell‐Brereton et al, 2007; Du et al, 2013). In independent validations experiments, both VPS4B mRNA and protein levels were about twofold increased upon lentiviral knockdown of TDP‐43 compared to controls (Fig 4C–E). Transfection of TDP‐43 shRNA confirmed an increased VPS4B protein expression also on a single‐cell level (Fig 4F). Moreover, lentiviral TDP‐43 knockdown increased VPS4B levels also in human neurons (Fig 4G), indicating that TDP‐43 controls recycling endosome trafficking in rat and human neurons through a conserved mechanism.
Source Data for Figure 4 [embj201694221-sup-0005-SDataFig4.pdf]
To test whether TDP‐43 affects VPS4B transcription, we generated a reporter construct containing the 1,000‐bp region upstream of the transcriptional start site of VPS4B upstream of luciferase (Fig 5A). We transfected HEK293 cells with either TDP‐43 knockdown or overexpression constructs or the respective controls together with the VPS4B reporter construct and analyzed luciferase expression. While TDP‐43 knockdown caused an almost threefold activation of the VPS4B promoter, TDP‐43 overexpression significant inhibited VPS4B promoter activity (Fig 5B).
Source Data for Figure 5 [embj201694221-sup-0006-SDataFig5.pdf]
Moreover, we performed chromatin immunoprecipitation to investigate whether TDP‐43 directly binds to the VPS4B promoter. To this end, we immunoprecipitated TDP‐43 from crosslinked and sheared chromatin preparations of rat cortical neurons. Binding of endogenous TDP‐43 to the VPS4B locus was tested using eight PCR amplicons (~200 bp each) covering the promoter region used for the luciferase reporter. Consistent with the known binding preference of TDP‐43, we detected binding of TDP‐43 to a GT‐rich region in the VPS4B promoter (Fig 5C). Moreover, we could confirm the binding of endogenous TDP‐43 to a corresponding GT‐rich region in the human VPS4B promoter in HEK293 cells and human brain tissue (Fig 5C). Quantification of ChIP assays confirmed a significant enrichment of VPS4B promoter DNA in TDP‐43 immunoprecipitates (Fig 5D).
Next, we analyzed VPS4B in the frontal cortex and spinal cord of autopsy‐confirmed FTLD/ALS‐TDP cases. Immunostaining revealed an increased VPS4B expression in patients compared to age‐matched controls in both regions (Fig 5E–H). In contrast, ALS‐TDP cases lacking TDP‐43 pathology in the frontal cortex showed VPS4B upregulation only in the spinal cord, but not in the frontal cortex (Fig EV4A–D). Moreover, we detected a similar upregulation of VPS4B in FTLD/ALS‐TDP cases compared to controls by immunoblotting in the superior frontal gyrus (Fig EV4E and F). Together, these data strongly suggest that nuclear TDP‐43 suppresses basal transcription of VPS4B, an important component of the ESCRT‐III complex implicated in recycling endosome trafficking.
VPS4B mediates the recycling endosome impairment upon TDP‐43 knockdown
To test whether VPS4B induction upon TDP‐43 knockdown contributes to the reduction in recycling endosome motility in dendrites, we analyzed trafficking of GFP‐RAB11 three days after transfection of a VPS4B expression vector (Fig 6A). Similar to the effects of TDP‐43 knockdown, the number of moving recycling endosomes in VPS4B‐transfected cells was significantly reduced compared to controls (Fig 6B and C).
To further corroborate our hypothesis that VPS4B induction mediates the effects of TDP‐43 knockdown on RAB11‐positive vesicle transport, we performed rescue experiments using VPS4B‐specific shRNA (Fig EV4G and H). Importantly, additional knockdown of VPS4B in TDP‐43‐knockdown neurons restored the number and motility of recycling endosomes to control levels (Fig 6D–F). Next, we manipulated ALIX, a negative regulator of VPS4B that promotes ESCRT assembly, to strengthen the link to the ESCRT complex. Overexpression of ALIX enhanced RAB11‐GFP motility in TDP‐43‐knockdown neurons nearly to control conditions and fully restored the vesicle number (Appendix Fig S3A–C).
Taken together, our data show that an enhanced expression of VPS4B is necessary and sufficient for the reduced recycling endosome number and motility upon TDP‐43 knockdown, which is likely due to an enhanced ESCRT‐III disassembly.
TDP‐43 controls surface expression of ErbB4 and several other neuronal proteins
In neurons, recycling endosomes mediate constitutive and activity‐dependent transport of many receptors to the plasma membrane. We speculated that impaired recycling endosome mobility upon TDP‐43 loss of function would lead to a decreased cell surface expression of crucial receptors. We thus used proteomics to identify differentially expressed surface protein as targets of the TDP‐43/VPS4B axis.
We therefore metabolically labeled all glycoproteins with a modified glycan and tagged their cell surface fraction with a non‐membrane‐permeable biotin using click chemistry (Kuhn et al, 2012). Labeled surface proteins were pulled down with streptavidin and identified and quantified using LC‐MS/MS. Among the 43 proteins that were changed at high significance level (P < 0.001), only two were upregulated, while the vast majority was downregulated, consistent with impaired recycling to the plasma membrane (Fig 7A and Table EV2).
Source Data for Figure 7 [embj201694221-sup-0007-SDataFig7.zip]
We focused our analysis on ErbB4 and FGFR1, two of the most downregulated proteins on the cell surface, because they have been linked to motoneuron survival (Teng et al, 1999) or ALS. Pathogenic mutations in ErbB4 in patients with familial ALS were shown to block ErbB4 signaling in response to its ligand neuregulin 1 (NRG1; Takahashi et al, 2013). FGFR1 signaling has been linked to motor axon guidance (Shirasaki et al, 2006).
To provide further evidence for reduced surface expression (and activity) of the receptor tyrosine kinases ErbB4 and FGFR1, we analyzed autophosphorylation after 10‐min stimulation with the ligands NRG1 and fibroblast growth factor‐1 (FGF1) (Fig 7B–E). ErbB4 and FGFR1 phosphorylation was significantly reduced upon ligand treatment in TDP‐43‐knockdown neurons although total ErbB4 and FGFR1 protein levels were similar. To exclude transcriptional effects upon TDP‐43 knockdown, we measured mRNA level of several of the most differentially expressed proteins (Fig 7F). While ErbB4, FGFR1, and most other tested mRNAs did not differ significantly between TDP‐43 knockdown and control, c‐Met and TMEM2 showed regulation in the same direction as the protein level arguing for a transcriptional effect in these cases.
To further corroborate the decreased surface expression of ErbB4 upon TDP‐43 knockdown, we transfected neurons with ErbB4 tagged with a luminal HA‐tag and a thrombin cleavage site (HA/T‐ErbB4) together with the shRNA constructs and stained surface HA/T‐ErbB4 using antibody feeding in live cells followed by staining of intracellular HA/T‐ErbB4 in fixed cells. Consistent with the proteomic data, HA/T‐ErbB4 surface levels were reduced in shTDP‐transfected neurons compared to controls (Fig 7G and H). Next, we used a thrombin cleavage assay (Passafaro et al, 2001) to directly address trafficking of ErbB4. After removing the HA epitope of surface‐expressed HA/T‐ErbB4 in living cells using thrombin, we observed a delayed recovery of surface HA/T‐ErbB4 from intracellular pools in TDP‐43‐knockdown neurons compared to controls (Fig 8A and B). Importantly, overexpression of VPS4B also led to a reduced surface expression of HA/T‐ErbB4 (Fig EV5A and B), suggesting it is the main factor behind the effects of TDP‐43 on surface localization of trophic receptors.
Thus, the cell surface expression of FGFR1 and the ALS‐associated protein ErbB4 are reduced in TDP‐43‐knockdown neurons due to the impaired trafficking of recycling endosomes.
Impaired NRG1/ErbB4 signaling causes dendrite loss in TDP‐43‐knockdown neurons
Since NRG1/ErbB4 signaling promotes dendrite growth in neurons (Krivosheya et al, 2008; Cahill et al, 2012), we quantified the complexity of dendritic branching upon TDP‐43 knockdown using Sholl analysis, as a functional readout of ErbB4 localization and activity. To that end, we transfected neurons (DIV6+4) with TDP‐43 shRNA or control and GFP to visualize the whole cell and acquired images of individual cells. TDP‐43 knockdown strongly reduced dendritic complexity (Fig 9A and B) similar to findings in flies (Lu et al, 2009). Overexpression of VPS4B or dominant‐negative RAB11 mimicked this phenotype (Fig 9C and D and Appendix Fig S4A and B). Moreover, knockdown of TDP‐43 in older neurons, when mature dendritic spines are already established (DIV14+5), led to a similar withering of the dendritic tree and significant spine loss (Appendix Fig S4C–F). The remaining dendritic spines were significantly thinner, indicative of reduced synaptic strength (Appendix Fig S4G and H).
While treating control neurons with the ErbB4 ligand NRG1 for two days enhanced the dendrite growth, NRG1 failed to promote dendrite growth in TDP‐43‐knockdown neurons (Fig 9E and F), suggesting that NRG1 signaling via ErbB4 is impaired. These effects were fully mimicked by VPS4B overexpression (Fig EV5C and D). In contrast, expression of ErbB4 in TDP‐43‐knockdown neurons led to the complete rescue of the dendritic complexity although ErbB4 expression in the control cells only slightly enhanced branching (Fig 9G and H). Similarly, ErbB4 expression was able to restore dendrite branching in VPS4B‐transfected neurons (Fig EV5E and F). Thus, dendrite loss in TDP‐43‐knockdown neurons is at least partially due to the impaired recycling of ErbB4 to the plasma membrane caused by VPS4B upregulation.
Loss of TDP‐43 function is thought to be a major driver of neurodegeneration in FTLD and ALS patients with cytoplasmic TDP‐43 aggregation, although the molecular mechanisms are poorly understood. Our data establish TDP‐43 as an important regulator of recycling endosome dynamics by transcriptionally repressing the CHMP2B‐interacting protein VPS4B. Impaired trafficking of recycling endosomes upon TDP‐43 knockdown inhibits the cell surface expression of ErbB4 and hence prevents the stimulation of dendrite growth by its ligand NRG1. Thus, we directly link TDP‐43 loss of function toxicity to two genes with rare ALS/FTLD‐causing mutations, CHMP2B and ErbB4. This suggests a common pathway leading to neurodegeneration by blocking trophic signaling through the impaired dynamics of recycling endosomes.
Nuclear TDP‐43 specifically controls dendritic trafficking of recycling endosomes
We show that TDP‐43 loss of function impairs the trafficking of GFP‐RAB11‐positive recycling endosomes in the dendrites without affecting the RAB4‐ and RAB5‐positive endosome pools or mitochondria using live imaging in neurons. Impaired recycling of fluorescently labeled transferrin despite the normal initial internalization in TDP‐43‐knockdown neurons largely excludes confounding effects of ectopic GFP‐RAB11 expression on endosome dynamics. Importantly, TDP‐43 knockdown in iPSC‐derived human neurons also impaired recycling endosome motility, further strengthening the relevance of this pathway for human pathophysiology. We discovered that altered endosomal dynamics upon TDP‐43 knockdown is due to upregulation of VPS4B, an ESCRT‐III disassembly factor. TDP‐43 knockdown resulted in a significant dendrite loss that was phenocopied by the expression of VPS4B or dominant‐negative RAB11, suggesting that endosome recycling is critical for dendrite development. We also observed a pronounced loss of dendritic spines in TDP‐43‐knockdown cells, which might be explained by the loss of synaptic receptors. Interestingly, acute chemical inactivation of RAB11 in neurons inhibits the surface delivery of AMPA receptors (Esteves da Silva et al, 2015).
Moreover, we noticed slightly increased motility of lysosomes, which might relate to the autophagosome–lysosome fusion problems observed in TDP‐43‐knockdown cell lines recently (Xia et al, 2015). Chronic dysfunction of the cellular degradation system is thought to promote TDP‐43 aggregation (Filimonenko et al, 2007; Tashiro et al, 2012), but further lysosomal dysfunction due to nuclear clearance of TDP‐43 might fuel a vicious cycle.
TDP‐43 regulates the ESCRT factor VPS4B
To uncover the molecular mechanism of recycling endosome stalling, we analyzed the whole proteome of TDP‐43‐knockdown neurons using label‐free quantitative proteomics. Among the differentially expressed proteins, we focused on VPS4B, because it had been linked to endosomal dynamics previously (Stuchell‐Brereton et al, 2007; Du et al, 2013). VPS4B mRNA and protein levels are threefold upregulated in TDP‐43‐knockdown neurons from rats and humans. Enhanced VPS4B promoter activity upon TDP‐43 knockdown suggests the transcriptional regulation of VPS4B by TDP‐43. Chromatin immunoprecipitation shows that TDP‐43 directly binds to a GT‐rich region in the VPS4B promoter region in rat primary neurons and human brain, as shown before for TAR‐DNA motif of HIV1 (Ou et al, 1995). Overexpression of VPS4B in neurons inhibits recycling endosome transport similar to TDP‐43 knockdown. Importantly, preventing VPS4B upregulation using shRNA completely rescues recycling endosome motility in TDP‐43‐knockdown neurons, strongly suggesting that VPS4B upregulation is the major cause of the trafficking deficits upon TDP‐43 knockdown.
VPS4 controls normal endosomal trafficking and sorting and is required for disassembly of the ESCRT‐III complex (Yoshimori et al, 2000; Jouvenet, 2012). Promoting ESCRT assembly by ALIX overexpression also largely restored the trafficking deficits in TDP‐43‐knockdown cells (Adell & Teis, 2011). VPS4B directly interacts with the ALS‐associated CHMP2B, another crucial part of the ESCRT‐III complex, and this interaction is blocked by ALS/FTLD‐causing mutations in CHMP2B (Skibinski et al, 2005; Stuchell‐Brereton et al, 2007; Han et al, 2012). Several other VPS family members have been genetically linked to neurodegenerative disorders, for example, VPS35 to Parkinson's disease and the VPS10 proteins SORL1 and SORCS1 to Alzheimer's disease (Lane et al, 2012). Thus, linking TDP‐43 loss of function to VPS4B, thus the ESCRT complex, and impaired recycling endosome motility further highlights the role of vesicle trafficking in neurodegeneration.
TDP‐43 loss of function impairs cell surface expression of key receptors for growth and guidance factors
The balance of endocytosis and recycling regulates the homeostasis of adhesion molecules and receptors for neurotransmitters, growth factors, and guidance cues (Goh & Sorkin, 2013). To identify the proteins most affected by impaired recycling endosome dynamics in neurons, we analyzed the changes in the surface proteome upon TDP‐43 knockdown using proteomics (Kuhn et al, 2012). Reduced surface expression is likely due to the impaired recycling, because TDP‐43 knockdown has no apparent effect on transferrin endocytosis or on trafficking of RAB5‐positive early endosomes. We found a highly significant reduction of 43 proteins on the surface, many of them known cargoes of recycling endosomes, while only two surface proteins were significantly upregulated. Among the proteins with reduced surface expression upon TDP‐43 knockdown, only two of ten tested mRNAs were significantly downregulated, suggesting that the trafficking effects are dominant.
More than half of the proteins with reduced surface expression are involved in dendrite growth (e.g., ErbB4, FGFR1, EphB2) or axonal guidance (e.g., Robo1, Unc5c/d, EphB2, TrkB). In flies, TDP‐43 knockout impairs the dendrite growth by a cell autonomous mechanism (Lu et al, 2009). We found that TDP‐43 knockdown in rat primary neurons also leads to the loss of dendrites and dendritic spines, thus potentially compromising synaptic transmission. We focused on the receptor tyrosine kinase ErbB4, one of the most downregulated proteins on the cell surface, because it had previously been linked to ALS through rare pathogenic mutations in its kinase domain that inhibit response to its ligand NRG1 (Takahashi et al, 2013). Although ErbB4 is predominantly expressed in interneurons and motor neurons, the lower level of ErbB4 expression in excitatory neurons is still crucial to regulate dendritic spine morphology and synaptic plasticity (Li et al, 2007; Cooper & Koleske, 2014). We observed an enhanced dendritic branching upon NRG1 treatment in excitatory control neurons, similar to previous findings (Gerecke et al, 2004; Krivosheya et al, 2008; Allison et al, 2011). In contrast, the stunted dendrite growth in TDP‐43‐knockdown cells could not be stimulated by NRG1 treatment, indicating that an impaired trafficking of recycling endosomes blocks the NRG1/ErbB4 signaling axis. Importantly, increasing ErbB4 levels in TDP‐43‐knockdown neurons restored dendritic arborization to control conditions, suggesting that reduced ErbB4 surface expression is a major cause for the dendrite withering in our system. We could reproduce all ErbB4‐related findings also in VPS4B‐overexpressing neurons, strongly suggesting that VPS4B upregulation and its effect on endosome trafficking directly inhibit receptor recycling upon TDP‐43 knockdown.
TDP‐43 knockdown reduced surface expression of many other receptors for growth and guidance cues and thus presumably has more widespread effects on trophic signaling. Depending on cell type and age, other plasma membrane proteins undergoing recycling might be affected. For example, the reduced levels of CADM3 found in the CSF of ALS patients (Collins et al, 2015) could be explained by the reduced cell surface expression (Fig 7A) and subsequent shedding upon the loss of nuclear TDP‐43. Additionally, we found reduced mRNA expression and surface expression of the hepatocyte growth factor (HGF) receptor c‐Met. Interestingly, muscle‐derived HGF promotes the axon outgrowth and survival of motoneurons during development via c‐Met (Ebens et al, 1996) and HGF/c‐Met expression declines with disease progression in ALS patients (Kato et al, 2003). Many of these signaling pathways have been most extensively studied during development, but remain essential in adulthood and might be even more critical upon injury or neuronal damage. For example, FGF signaling is crucial for motoneuron protection and survival after spinal cord injury (Teng et al, 1999). Thus, the impaired activity of ErbB4, FGFR1, c‐Met, and other receptor tyrosine kinases may deprive neurons with TDP‐43 mislocalization and aggregation from crucial trophic support leading to progressive neuron loss. Interestingly, the removal of established TDP‐43 aggregates and the subsequent restoration of nuclear TDP‐43 expression lead to functional reinnervation in an inducible mouse model, further supporting a role of TDP‐43 in trophic signaling (Walker et al, 2015).
Three lines of evidence support that an impaired endosomal recycling occurs in ALS and FTLD patients. First, we observed the reduced recycling endosome motility and VPS4B upregulation upon TDP‐43 knockdown in human iPSC‐derived neurons. Second, region‐specific elevation of VPS4B in sections of ALS‐TDP and FTLD/ALS‐TDP patients suggests that TDP‐43 loss of function in patients with TDP‐43 aggregation invokes a similar mechanism as in cultured neurons. Third, ALS patients have reduced transferrin levels in serum and CSF (Brettschneider et al, 2008; Nadjar et al, 2012), a result we confirmed in our cohort of sporadic ALS patient for the CSF‐specific β2‐transferrin. This finding can now be explained by the impaired transferrin transport and recycling caused by TDP‐43 loss of function. Moreover, our findings could also be relevant for Alzheimer's disease, as TDP‐43 aggregation and nuclear clearance are found in up to 50% of cases (Davidson et al, 2011).
Our work establishes a connection between TDP‐43, impaired vesicle trafficking, and dendrite growth by controlling cell surface expression of receptors crucial for neurite outgrowth and neuronal survival. Impaired recycling of trophic receptors to the cell surface due to nuclear clearance of TDP‐43 and VPS4B upregulation in patients may compromise neuronal repair and survival in ALS and FTLD.
Materials and Methods
Myc‐tagged human TDP‐43 wild type and the ΔNLS (97AAA) mutant cDNA were expressed from pcDNA6 vector driven by CMV promoter. Myc‐tagged rat VPS4B, human HA/T‐ErbB4 (HA‐tag followed by a thrombin cleavage site (LVPRGS) were inserted directly after the signal sequence, cloned from Addgene plasmid #29527, Yardena Samuels (Prickett et al, 2009)), and human ALIX (subcloned from Addgene plasmid #21504, James Hurley (Lee et al, 2008)) cDNA was expressed from a lentivirus plasmid driven by ubiquitin promoter (Orozco et al, 2012). shRNAs were cloned into pSUPER (target sequences: rat TDP‐43 #1 gtagatgtcttcattcccaaa, rat TDP‐43 #2 gctgatgggctgcgaacat, human TDP‐43: gaaacacaagtgaaagtaa, rat VPS4B: ggtgcagatcagcgtgaca and luciferase control cgtacgcggaatacttcga). For lentiviral knockdown, the H1 promoter shRNA expression cassette was subcloned into a lentiviral vector coexpressing mCherry from human ubiquitin C promoter (Orozco et al, 2012). Human RAB4 (Addgene #54943, M. Davidson unpublished), RAB5 (Lang et al, 2012), RAB7 and RAB11a wild type and S25N (Addgene #12605, 12674, 12678, Richard Pagano (Choudhury et al, 2002)) were expressed from pEGFP‐C1 vector. Mito‐GFP contains the mitochondrial targeting sequence of COX8. For the luciferase reporter construct, genomic sequence 1 kb upstream of the predicted TSS (http://www.cbs.dtu.dk/services/Promoter/) until the start codon of rat VPS4B was cloned in upstream of Renilla luciferase in the psiCheck2 vector (primers gatggatccctcccatacactacaaggggaagctc and gatgctagctggtggagatccaaagggtccccta). All constructs were verified by sequencing.
Lentivirus was produced by cotransfecting psPAX2, pVSV‐G, and the respective overexpression or knockdown constructs in HEK293FT as described before (Schwenk et al, 2014). After harvesting the supernatant, virus particles were concentrated by ultracentrifugation and resuspended in PBS.
Antibodies and reagents
Antibodies against TDP‐43 (Sigma‐Aldrich Cat# SAB4200006, Cosmo Bio Co Cat# CAC‐TIP‐TD‐P09), GFP (UC Davis/NIH NeuroMab Facility Cat# 73‐132), β‐actin (Sigma‐Aldrich Cat# A5316), calnexin (Enzo Life Sciences Cat# ADI‐SPA‐860‐F), VPS4B (Sigma‐Aldrich Cat# PA5‐30316 for IHC and Proteintech Group Cat# 17673‐1‐AP for immunoblotting and immunofluorescence), ErbB4 (Santa Cruz Biotechnology Cat# sc‐283), phosphor‐ErbB4‐Y1056 (Santa Cruz Biotechnology Cat# sc‐33040), FGFR1 (Novus Cat# NB600‐1287), phosphor‐FGFR1‐Y654 (Abcam Cat# ab59194), myc‐tag (Santa Cruz Biotechnology Cat# sc‐40), HA‐tag (Sigma‐Aldrich Cat# H9658 and Roche Cat# 3F10), anti‐mouse and rabbit HRP‐coupled secondary antibodies and anti‐mouse and rabbit Alexa‐coupled secondary antibodies (Life Technologies) are commercially available. TO‐PRO 3 and transferrin‐Alexa 555 were purchased from Life Technologies, and DAPI and EZ‐Link sulfo‐NHS‐LC biotin from Sigma‐Aldrich. β2‐Transferrin protein levels from undiluted CSF samples derived from sporadic ALS patients and controls were quantified using a commercially available ELISA kit (www.mybiosource.com, MBS923983) following the manufacturer's instructions. Recombinant NRG1 and FGF1 were purchased from R&D Systems.
Neuron cell culture and imaging
Hippocampal neurons were prepared from embryonic day 18 CD rats (Charles River), cultivated in Neurobasal media (with 2% B27, 0.25% glutamine, 0.125% glutamate), and transduced with lentivirus or transfected with Lipofectamine 2000 as described before (Schwenk et al, 2014). Immunoblotting and immunostaining were performed as described previously (Schwenk et al, 2014). Images were taken on Zeiss LSM 510 or 710 confocal laser scanning microscopes using 40× (NA = 1.3) oil immersion objectives with 1 Airy unit pinhole. Dendritic arborization was quantified manually by Sholl analysis as described previously (Schwenk et al, 2014). In each experiment, at least 30 neurons per condition were imaged and quantified. Figures show the representative data from one of at least three independent replicates with similar results. All image acquisition and quantification for morphological analyses were done blind to the experimental conditions.
iPSC‐derived human neurons were generated as described before (Koch et al, 2009) and frozen in liquid nitrogen for long‐term storage. After thawing, neurons were plated on PDL‐coated glass‐bottom dishes in HN media (DMEM/F12 and Neurobasal 1:1, 0.5% N2, 1% B27, 0.1 % glucose, 2 μg/ml insulin, 10 ng/ml GDNF, 10 ng/ml BDNF, 10 μM Y‐27632). Every two days half of the media were exchanged. Neurons were transduced with lentivirus seven days after thawing and imaged three days later.
Astrocyte feeder cells were prepared from embryonic day 18 CD rats (Charles River) as described previously (Kaech & Banker, 2006), plated onto glass coverslips, and maintained in MEM supplemented with 0.6% glucose and 5% FBS till they reached 50–60% confluency.
Live cell imaging
For vesicular motility analysis, images for time‐lapse movies were taken on a Zeiss Cell observer SD spinning‐disk microscope with an air‐cooled Evolve 512 EMCCD camera at 5 Hz for 60 s (RAB11), 2 Hz for 150 s (RAB4, RAB5, mitochondria), or 1 Hz for 300 s (RAB7) with an 63× oil immersion objective (NA = 1.4). During image acquisition, neurons were kept in a climate chamber (37°C, 5% CO2). Unless noted otherwise, kymographs of vesicular movement from at least four dendrite segments per cell and at least six neurons per condition and experiment were generated and manually analyzed using ImageJ software (Multiple Kymograph plugin by J. Rietdorf and A. Seitz).
Transferrin recycling assay
The protocol for transferrin recycling assay was adapted (Moreau et al, 2012). Neurons were transduced with the lentiviruses coexpressing shRNA and RFP. On day five, cells were starved in culture media without B27 (30 min at 37°C and 5% CO2) prior to incubation with 50 μg/ml transferrin‐Alexa‐488 in complete culture media for 20 min at 4°C. Subsequently, neurons were put back at 37°C and 5% CO2 for 20 min to allow transferrin internalization (pulse). Afterward, the cells were washed three times, put back in complete culture media (containing unlabeled transferrin as part of B27) for 0, 20, or 60 min (chase), and fixed (4% PFA, 4% sucrose) after another wash with PBS. Transferrin‐Alexa‐488 was quantified from confocal images by relating transferrin fluorescence signal to the cell area, visualized by RFP expression (not shown in Fig 2), and normalized to control transduced cells.
VPS4B promoter assay
A modified psiCHECK2‐expressing Renilla luciferase from a 1‐kb VPS4B promoter fragment and firefly luciferase from the TK promoter was cotransfected with control or TDP‐43 constructs at a 40:60 ratio into HEK283FT cells using Lipofectamine 2000 (Life Technologies). On day 3, luciferase activity was quantified using Dual‐Glo Luciferase Assay (Promega). Relative promoter activity was determined by normalizing the ratio of Renilla luciferase and firefly luciferase to the control vector and the effect on the original psiCHECK2 vector. All experiments were performed in 96‐well plates with six replicates for each condition.
Chromatin immunoprecipitation (ChIP)
ChIP experiments in cortical neurons, HEK293 cells, and brain tissue were performed using the MAGnify Chromatin Immunoprecipitation System (Thermo Fisher Scientific) according to the manufacturer's instructions. Briefly, chromatin from 300,000 cells or 20 mg tissue per ChIP reaction was crosslinked by 1 % formaldehyde and sheared with a Branson WD200 sonifier (30% amplitude, 60% duty cycle, 4× 30‐s impulse, 60‐s recovery) to an approximate size of 300–500 bp. Following cell lysis, protein was immunoprecipitated using either rabbit polyclonal TDP‐43 (Cosmo Bio, CAC‐TIP‐TD‐P09) or rabbit control antibody. After five washing steps, the crosslink was reversed in immunoprecipitates and input samples followed by proteinase K digestion. Afterward, DNA was isolated and PCRs from input, control‐ and TDP‐43‐IP were performed amplifying ~200‐bp amplicons in the promoter region of VPS4B. We detected binding with the following amplicons in rats (gcagagggaaacagaaatta, ctagctctattcacacacac) and humans (gctcgttcccgcttgttc, tggtggctgcaaaccatag).
Surface staining and thrombin cleavage assay
The protocol for receptor surface quantification and thrombin cleavage assay was adapted from Passafaro et al (2001). In brief, hippocampal neurons (DIV7+4) were transfected with HA/T‐ErbB4 and shTDP or shCtrl and incubated for 4 days. Cells were live‐labeled with rat anti‐HA antibody for 1 h at 4°C to visualize surface HA proteins, washed with cold Neurobasal media, and fixed for 8 min in 4% PFA. Afterward, fixed neurons were incubated with mouse anti‐HA to label intracellular receptors. The neurons were washed in 20 mM phosphate buffer containing 0.5 M NaCl (pH 7.4), incubated in Alexa‐labeled secondary antibodies, and mounted. For the quantification of receptor recycling to the plasma membrane, HA/T‐ErbB4‐transfected hippocampal neurons were treated for 5 min with thrombin (Sigma‐Aldrich; 1 U/ml), followed by three washing steps with warm Neurobasal. Subsequently, the cells were returned to 37°C to allow for membrane insertion of new receptors. Neurons were labeled as described above either without thrombin treatment, or 0, 30, or 60 min after thrombin treatment. Images were taken with a Zeiss LSM 710 confocal microscope.
Quantification of immunofluorescence images
Images were acquired on a Zeiss LSM 710 laser scanning confocal microscope using the same settings during the whole experiment. Fluorescence levels were quantified with ImageJ by using the background corrected total cell fluorescence. The total corrected cellular fluorescence (TCCF) = integrated density – (area of selected cell × mean fluorescence of background readings), was calculated (McCloy et al, 2014). All image acquisition and quantification were performed blinded to the experimental conditions.
RNA preparation and quantitative PCR
RNA was isolated using RNeasy Mini Kit with the optional DNase digest step (Qiagen) following the manufacturer's instructions. cDNA was generated using the TaqMan MicroRNA Reverse Transcription Kit (Applied Biosystems) with random hexamer primers following the manufacturer's instructions. RT‐qPCR was performed on CFX384‐Real‐Time system using SsoFast EvaGreen (Bio‐Rad) with a two‐step protocol using the following primers: rat VPS4B (primers ccaccatggcgtccacgaacac and tggccctgatgctttgcttggc), rat TDP‐43 (agtgttgggtctcccctggaaa, acagtcacaccatcgcccatct), rat YWAHZ (tgagcagaagacggaaggtgctg, tctgatggggtgtgtcggctgc), and rat GAPDH (ccgcatcttcttgtgcagtgcc, agactccacgacatactcagcacc). Amplification of a single product was confirmed by melting curve analysis. Relative mRNA abundance was quantified by the ΔΔCT method.
Human CSF samples were provided by the MND‐NET and the German FTLD consortium. All patient tissues were provided by the Neurobiobank Munich, Ludwig Maximilians University (LMU) of Munich. All samples were collected and distributed according to the guidelines of the local ethical committee.
Immunofluorescence of paraffin sections
Immunofluorescence was performed as previously described (Mackenzie et al, 2013). In short, paraffin sections were dewaxed in xylene and ethanol followed by microwaving in citrate buffer (pH 6). The VPS4B and TDP‐43 antibodies were incubated overnight at 4°C, and the fluorescence‐labeled secondary antibody 1 h at room temperature. Nuclei were stained with DAPI for 15 min.
Statistical analysis was performed using GraphPad Prism software. If sample size allowed, data were tested for normal distribution with D'Agostino–Pearson omnibus normality test. If data points were not normally distributed, a nonparametric test was used, when applicable. To compare one variable in two independent groups, the unpaired, two‐sided t‐test or Mann–Whitney U‐test were used; in cases with three or more independent groups, one‐way ANOVA or Kruskal–Wallis test were used. To compare groups using two variables, two‐way ANOVA was applied. If necessary, tests were corrected for multiple comparisons using the Bonferroni or Tukey method owing to the applied test and the number of groups. A P‐value < 0.05 was considered significant. Statistical analysis of proteomic data is described in detail below.
Whole proteome analysis by LC‐MS/MS
Cells were lysed in SDS‐containing buffer and subjected to tryptic digestion as described previously (Hornburg et al, 2014). We separated peptides on a HPLC (EASY‐nLC 1000, Thermo Fisher Scientific, Odense, Denmark) using 50‐cm columns (75‐μm inner diameter) in‐house packed with 1.9‐μm C18 beads (Dr. Maisch GmbH, Ammerbuch‐Entringen, Germany). Peptides were loaded in 0.5% formic acid (buffer A) and eluted within a 245‐min gradient from 5% buffer B (80% acetonitrile, 0.5% formic acid) to 60% B at 250 nl/min. The column was heated to 50°C to reduce backpressure. Our setup employed a hybrid quadrupole Orbitrap mass spectrometer (Michalski et al, 2011) (Orbitrap Q Exactive, Thermo Fisher Scientific) directly coupled to the HPLC via nano‐electrospray source. The survey scan (MS1, 300 to 1,650 m/z) was performed at a resolution of 70,000 at m/z 200 and an ion target value of 3E6. Up to the top 10 most intense features with a charge state higher than one not picked previously (dynamic exclusion window 30 s) were subjected to HCD fragmentation (AGC target 1e5, isolation window 2.2 m/z) at a normalized collision energy of 25. Data were acquired using Xcalibur software (Thermo Scientific).
Whole proteome raw data analysis and statistical analysis
We processed the raw data with MaxQuant (Cox & Mann, 2008) (v. 188.8.131.52) and used the integrated search engine Andromeda (Cox et al, 2011) to search MS/MS spectra against the rat UniProtKB Fasta database (34,562 forward entries; version from July 2015). The enzyme specificity was set to trypsin while allowing up to two miscleavages and cleavage N‐terminal to proline. We set the minimum length of peptides to be considered for identification to seven amino acids assuming carbamidomethylation of cysteine as fixed and methionine oxidation (M) as well as acetylation of N‐termini as variable modifications. A false discovery rate (FDR) cutoff of 1% was applied on both the peptide and protein level.
We performed nonlinear retention time alignment of all measured samples in MaxQuant, which allows us to transfer peptide identifications in the absence of sequencing (MS1 only), within a narrow retention time window of 1 min (“match between runs”). We employed a library of 20 cortical rat neuron proteomes as a library for matching. Protein intensities were normalized with MaxQuant (MaxLFQ; Cox et al, 2014). We stringently filtered our data requiring at least two peptide ratios for protein quantification. In addition, common contaminants (n = 247, included in MaxQuant software packages) as well as proteins only identified with side modifications were strictly excluded from the analysis. Furthermore, we removed any protein group with less than two‐third valid values for either control or knockdown from the analysis. Remaining missing values were imputed with a normal distribution (based on whole data distribution, width = 0.3, downshift = 1.8).
For statistical analysis, we employed Perseus, which is part of the MaxQuant environment. To emphasize the strength of biological differences, we employed a S0 correction of 0.1 in the statistical analysis (Student's t‐test) (Tusher et al, 2001). The biological difference between TDP‐43 knockdown and control was mild and we had to choose a slightly less stringent multiple testing correction (permutation‐based FDR of 0.1 instead of 0.05) to determine the most significant outliers for biological validation. To visualize global trends in the dataset, we performed a 1D annotation enrichment (Benjamini–Hochberg FDR cutoff of 0.05) based on the differences in means. Significantly enriched annotations (KEGG name, GOMF name, keyword, GOCC slim name) are depicted in table (1D annotation enrichment). For biological follow‐ups, we focused on proteins with highest fold change.
Labeling of glycoproteins at the cell surface and mass spectrometric analysis
The protocol was adapted from Kuhn et al (2012); 4.5 million neurons in a 10‐cm dish labeled for 48 h with 200 nM ManNAz was washed twice with cold PBS. Afterward, 100 nM DBCO‐PEG12‐biotin (Click Chemistry Tools) diluted in 2 ml PBS was evenly distributed on the neurons and incubated at 4°C for 2 h. Neurons were washed twice with PBS and then lysed in 5 ml buffer (150 mM NaCl, 50 mM Tris, 2 mM EDTA, 1 % NP‐40) per dish. After centrifugation at 4,000 g, equal protein amounts of the clarified lysate were loaded on a PolyPrep column with a streptavidin bead bed (300 μl slurry). After binding of proteins, streptavidin beads were washed three times with 10 ml PBS supplemented with 1% SDS. To elute the biotinylated glycoproteins, streptavidin beads were boiled with urea sample buffer containing 3 mM biotin.
Samples were analyzed twice using an Easy‐NLC 1000 nanoflow HPLC system II (Proxeon) connected to an LTQ‐Velos Orbitrap Pro (Thermo Fisher Scientific). Peptides were separated by reverse‐phase chromatography using in‐house‐made 30‐cm columns (New Objective, FS360‐75‐8‐N‐S‐C30) packed with C18‐AQ 2.4‐μm resin (Dr Maisch GmbH, Part No. r124.aq). A 90‐min gradient (5–40%) at a flow rate of 200 nl/min was used. The measurement method consisted of an initial FTMS scan recorded in profile mode with 30,000 m/z resolution, a mass range from 300 to 2,000 m/z, and a target value of 1,000,000. Subsequently, collision‐induced dissociation (CID) fragmentation was performed for the 15 most intense ions with an isolation width of 2 Da in the ion trap. A target value of 10,000, enabled charge state screening, a monoisotopic precursor selection, 35% normalized collision energy, an activation time of 10 ms, wide band activation, and a dynamic exclusion list with 30‐s exclusion time were applied.
Data from three independent experiments with two technical replicates were analyzed with MaxQuant suite (version 184.108.40.206) in combination with the Andromeda search algorithm as above. First search, mass recalibration, and main search of tryptic peptides were performed using a rat Uniprot database downloaded on the 21 August 2012. Two missed cleavages were allowed. Peptide as well as protein false discovery rate was set to 1%. Mass accuracy was set to 20 ppm for the first search and 5 ppm for the main search. Quantification was performed between the respective control and TDP‐43‐knockdown condition on the basis of unique and razor peptides. Missing values were imputed in Perseus 1.5.16 following a standard distribution. P‐values were calculated from log2‐transformed LFQ ratios using a heteroscedastic, two‐sided Student's t‐test. Proteins with a P‐value of P ≤ 0.05 were considered as hits. To correct for multiple hypothesis testing, the Benjamini–Hochberg post‐test was applied with an adjusted false discovery rate of 0.05.
BMS and DE conceived the project and designed the experiments. BMS performed and analyzed live imaging and cell biological experiments. HH, AC, ST, DO, MM, and FS contributed to cell biological experiments. AS, DH, FM, and P‐HK generated proteomics data. MHS and TA provided and analyzed brain section. SH, MP, and OB provided human neurons. CK, TK, MO, and ACL provided patient CSF samples and clinical input. BMS and DE wrote the manuscript with input from all coauthors.
Conflict of interest
The authors declare that they have no conflict of interest.
Expanded View Figures PDF [embj201694221-sup-0002-EVFigs.pdf]
Table EV1 [embj201694221-sup-0003-TableEV1.xlsx]
Table EV2 [embj201694221-sup-0004-TableEV2.xlsx]
Source Data for Expanded View and Appendix [embj201694221-sup-0008-SDataEV.zip]
We thank M. K. Schmidt, B. Kraft, and I. Pigur for excellent technical assistance. We thank S. Müller, S. Lichtenthaler, and M. Mann for critical discussions and the mass spectrometry infrastructure. We thank Matthias Prestel for technical advice on ChIP experiments. We thank all clinicians recruiting patients and most notably all patients and their next of kin for taking part in this study. We thank A. Capell, C. Haass, G. Kleinberger, and B. Schmid for critical comments. Parts of this work were supported by the Federal Ministry of Education and Research, Germany (FTLDc O1GI1007A), and JPND (PreFrontAls) (M.O.). This work was supported by the Helmholtz Young Investigator program HZ‐NG‐607 (D.E.), the NOMIS Foundation and the Hans und Ilse Breuer Foundation (D.E.), the Munich Cluster of Systems Neurology (SyNergy) (D.E. and T.K.) and a Carl‐von‐Linde‐Junior fellowship of the Institute for Advanced Study (A.S. and P.K.) and the European Community's Health Seventh Framework Programme under grant agreement SyG‐318987 [ToPAG] and 259867 [EUROMOTOR] (F.M. and D.H.) and 617198 [DPR‐MODELS] (D.E.).
FundingHelmholtz‐Gemeinschaft (Helmholtz Association)http://dx.doi.org/10.13039/501100001656 HZ‐NG‐607
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