Keywords
cytoskeleton, axon, synapse, microtubule, posttranslational modifi cation,
polyglutamylation, pruning, synapse elimination, remodeling, microtubule dynamics,
developmental biology, motor neuron
Figures: 8 Figures
3 Supplemental Figures
1 Supplemental Video
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Abstract
1
Developmental remodeling shapes neural circuits via activity-dependent pruning of synapses and 2
axons. The cytoskeleton is critical for this process, as microtubule loss via enzymatic severing is an 3
early step of pruning across many circuits and species. However, how microtubule-severing enzymes, 4
such as spastin, are activated in specific neuronal compartments remains unknown. Here, we reveal 5
that polyglutamylation, a posttranslational tubulin modification that is enriched in neurons, plays an 6
instructive role in developmental remodeling by tagging microtubules for severing. Motor neuron-7
specific gene deletion of enzymes that add or remove tubulin polyglutamylation—TTLL glutamylases 8
vs. CCP deglutamylases —accelerates or delays neuromuscular synapse remodeling in a 9
neurotransmission-dependent manner. This mechanism is not specific to peripheral synapses but also 10
operates in central circuits, e.g., the hippocampus. Thus, tubulin polyglutamylation acts as an activity-11
dependent rheostat of remodeling and shapes neuronal morphology and connectivity. 12
Introduction
13
Microtubules are regulators of cellular shape, dynamics, and transport—processes that are especially 14
difficult to coordinate in the complex cells of the nervous system 1-3. As a consequence, microtubule 15
functions in neurons need to be locally regulated. In analogy to how posttranslational modifications 16
(PTMs) diversify histone function, the concept of the “tubulin code” posits that microtubules can be 17
endowed with unique functions through PTMs and a set of proteins that add, remove, or interpret 18
them. Such a system of “writer”, “eraser”, and “reader” microtubule-associated proteins (MAPs) and 19
enzymes can then locally modify microtubule stability, as well as the trafficking characteristics and 20
cargo selection of intracellular transport with high spatiotemporal precision 3-5. Thus, in principle, the 21
tubulin code can explain how a general system of filamentous proteins could locally regulate a 22
plethora of parallel functions to meet the compartmentalized needs of neural cells . Indeed, t he 23
microtubular cytoskeleton of neurons is very specialized. This specialization includes the expression 24
of neuron -specific tubulin isoforms (such as tubulin beta -3, Tubb3), pronounced and 25
compartmentalized PTMs, as well as a unique set of MAPs and severing enzymes that play important 26
roles in neurodegenerative and neurodevelopmental diseases 6-10. Nevertheless, while a PTM-based 27
implementation of the “tubulin code” is an appealing concept and clearly plays important roles in the 28
basic health and cell biology of neurons , e.g. via cell migration, axonal transport, growth cone 29
navigation, and cilia function 11, how the tubulin code could steer nervous system physiology in vivo 30
in general, and circuit development in particular, 12 is not well understood 5, 13-15. 31
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Synaptic pruning—the wide-spread removal of exuberant synapses that is preserved across phyla, but 32
also between development and disease —involves a local regulation of cytoskeletal function and 33
stability 16-19. For instance, others and we have previously described the selective loss of microtubules 34
in destabilized presynaptic axon branches 16, 20, 21 . This loss can be mediated by the microtubule -35
severing enzyme, spastin 20, a protein commonly altered in hereditary spastic paraplegia 8. Indeed, 36
microtubule destabilization, together with glia-mediated engulfment of synaptic material, is thus far 37
one of very few shared mechanisms of synapse pruning across models and between development and 38
disease 22, 23. The local loss of microtubules in pruning axon branches is accompanied by changes in 39
PTMs 20, but whether these cytoskeletal changes are instructive or merely an epiphenomenon of the 40
breakdown, and which molecular signals locally regulate microtubule modifications, remains 41
unknown. Of particular significance in this context is polyglutamylation, a tubulin PTM that is highly 42
enriched in the brain 24. Tubulin polyglutamylation involves the enzymatic “seeding” of an initial 43
glutamate followed by addition of further glutamate residues, resulting in the formation of a 44
polyglutamate (PolyE) chain. This PTM enhances the negative charge of the microtubule lattice, thus 45
facilitating electrostatic interactions with neurodegeneration-associated MAPs, such as tau 25, 26, and 46
severases, including spastin 27. 47
Based on these prior observations, we undertook a systematic investigation into the role of 48
microtubule polyglutamylation during pruning. To this, we took advantage of the special features of 49
synaptic pruning at the neuromuscular junction , a synapse which transitions within a few days from 50
innervation by multiple to a single axon branch 28. Due to its accessibility and size, this synapse allows 51
unique dynamic investigations with subsynaptic resolution 20, 29 -31, which we used to reveal an 52
instructive role of tubulin polyglutamylation in synaptic remodeling . Specifically, we show that in 53
motor axon branches during pruning, polyglutamylation of tubulin alpha-4A (Tuba4a) results from the 54
balanced action of the “writer” enzyme, tubulin tyrosine ligase-like glutamylase 1 (TTLL1; but not the 55
functionally distinct TTLL7 13) and the “eraser” enzymes, cytosolic carboxy peptidases ( CCP) 1 and 6. 56
The local density of polyglutamyl side chains on microtubules, modified in cell type-specific knock-out 57
mice, in turn, determines the efficiency of spastin-mediated severing. We found that this interplay of 58
PTMs and microtubule severing paces the speed by which peripheral synapses remodel, but confirmed 59
a related mechanism for the timing of axon and spine pruning in the developing hippocampus. 60
Results
61
Glutamylases and deglutamylases are translationally regulated during motor axon pruning 62
To establish the expression patterns of polyglutamylation “writer” and “eraser” enzymes during motor 63
axon pruning, we performed a translatome analysis of murine motor neurons using a ChAT-IRES-Cre 64
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X Rpl22HA (called RiboTag hereafter) 32, 33 mouse cross -breeding. We immuno-isolated ribosome-65
bound mRNA from spinal cords , starting at postnatal day (P) 5 until 14 (P5, 7, 9, 11, 14 ; Fig. 1a ). 66
Specificity of this experiment for motor neuronal transcripts was verified by immunostaining for HA, 67
which illustrated clear co -localization with Choline Acetyl Transferase (ChAT) ( Fig. 1b), and 68
quantitative PCR, which demonstrated a 20x enrichment of ChAT and absence of Glial Fibrillary Acidic 69
Protein (GFAP) transcripts in the pull -downs compared to whole spinal cord mRNA (Extended data, 70
Fig. 1a and 1b). Principal component (PCA) analysis clearly separated the RiboTag pull -down vs. the 71
total spinal cord mRNA samples (Extended data, Fig. 1c). In total, we identified > 4,500 differentially 72
expressed transcripts at P9 (RiboTag vs whole spinal cord; Log2 |FC| ≥ 1.5; Padj ≤ 0.05; Extended data, 73
Table 1 ). Gene ontology (GO) analysis of this gene list pointed towards neuron- or axon -specific 74
biological processes (Extended data, Fig. 1d and 1e). Similarly, gene set enrichment analysis revealed 75
motor neuron markers (Isl1, Chat, Mnx1) augmented, while astrocyte markers (GFAP, Slc1a3, Aldh1l1, 76
Olig2, Cspg4) and oligodendrocyte-specific genes (Sox10, Olig2, Cspg4) were depleted in the RiboTag 77
pull-down samples ( Extended data, Fig. 1f). We then scrutinized the complete gene list (Extended 78
data, Table 2) obtained from our bona fide motor neuron translatome, for glutamylases (TTLL1, 3, 4, 79
5, 6, 7, 11 and 13) and deglutamylases (CCP1, 2, 3, 4, 5 and 6; Extended data, Table 2). 80
“Writer” TTLL glutamylases decorate the microtubule lattice with glutamate either in a “seeder” 81
fashion, by preferentially adding the first branch glutamate (E) onto the tubulin C -terminal tail 82
(monoE), or by elongating previously seeded E-chains 13, 34 (Fig. 1c). Among the known “elongators”, 83
TTLL1 showed the highest expression level s (e.g., at P14: approximately 69% of “elongator” TTLL 84
levels) that were stable across all analyzed time points. In contrast, TTLL11 wa s expressed at a 85
substantially lower level (e.g., at P14: 29 %), while TTLL6 and TTLL13 were virtually absent ( Fig. 1d). 86
Analysis of “seeders” yielded increasing TTLL7 mRNA reads between P5 and P14 (e.g., at P14: 87 % of 87
“seeder” TTLL levels), while TTLL5 and TTLL4 transcripts were much less abundant (at P14: 11 % and 1 88
% for TTLL5 and TTLL4, respectively; Fig. 1e). Amongst the deglutamylases, CCP1 transcripts were the 89
most abundant and increased during the pruning phases (e.g., increase from P5 to P14: 53 %; Fig. 1f). 90
Among all the other CCP-type deglutamylases (CCP2, 3, 4, 5, 6), CCP6 was the most abundant enzyme 91
which exhibited an increase of 28% between P5 and P14. The rest were present at very low transcript 92
rates, ranging e.g. from 0.03% to 1.1 % at P14 (Fig. 1f). These findings are consistent with previous 93
reports showing that CCP1 and CCP6 are the two most abundant deglutamylases in the central 94
nervous system 35. Thus, we focused our efforts on genetic disruption of TTLL1, TTLL7, CCP1 and CCP6 95
to probe the ir role as potential candidates that mediate polyE-instructed neuronal remodeling. We 96
first generated cholinergic neuron-conditional mouse mutants of the most expressed glutamylases, 97
i.e. TTLL1mnKO (ChAT-IRES-Cre X TTLL1flox/flox; see experimental procedures), which should mostly affect 98
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polyglutamylation on tubulin alpha 13, and TTLL7 mnKO (ChAT-IRES-Cre X TTLL7flox/flox; see experimental 99
procedures), which would be expected to deplete monoglutamylation on tubulin beta 13. 100
Genetic ablation of TTLL1, but not of TTLL7, delays neuromuscular synapse elimination 101
We quantified microtubul e content and PTM patterns by immunohistochemistry and confocal 102
microscopy in the triangularis sterni muscles of these mice at P 9 20, 31, 36. To determine microtubular 103
content, we used an anti-tubulin beta-3 (Tubb3) antibody, the most abundant tubulin beta isoform in 104
motor neurons after P9 (Extended data, Fig. 1g ), while an anti-PolyE antibody, which recognizes C-105
terminal chains of 3 glutamate residues on tubulin tails, was used to assess axonal polyglutamylation 106
levels. As expected, PolyE normalized to Tubb3 was drastically reduced (to 0.09-fold), while 107
microtubule content was 2.8-fold increased ( normalized to neurofilament; Fig. 2 a-d). In contrast , 108
immunostaining using an anti-βmonoE antibody (normalized to Tubb3), which detects a single 109
glutamate seed on E435 of tubulin beta-2 tails, was largely unaffected (Fig. 2e and 2f). Finally, antibody 110
staining for acetylated tubulin (acetyl-K40) was also decreased (0.68-fold, normalized to Tubb3, Fig. 111
2g and 2h), in line with previous reports 37. Thus, microtubules in motor axons in TTLL1mnKO mice are 112
more abundant but may carry less PTMs. As revealed by time-lapse imaging of nerve-muscle-explants 113
of TTLL1mnKO that also carried a Thy1-EB3-YFP transgene 38, most parameters of plus-end 114
polymerization dynamics were unaffected (including comet density, orientation and velocity , 115
Extended data, Fig. 2a, 2c and 2d), but comet length distribution was significantly, albeit mildly altered 116
in TTLL1 mnKO compared to TTLL1 mnWT (Extended data, Fig. 2b). Specifically, EB3 comet elongation in 117
TTLL1mnKO increased aligning with recent in vitro findings that show augmented microtubule growth 118
rate upon deglutamylation 39. Concomitant to the increased microtubule mass and reduced PolyE 119
levels, a higher percentage of neuromuscular synapses remained innervated by two or more axons in 120
TTLL1mnKO vs. control muscles at all postnatal ages tested ( Fig. 2i and 2j). Collectively these findings 121
suggest that TTLL1 -mediated polyglutamylation instructs the local dismantling of microtubules , and 122
thus paces developmental axon pruning of motor neurons. 123
In contrast, the same set of analyses in TTLL7 mnKO mice revealed no c hanges in overall microtubule 124
mass and dynamism in terminal motor axons (Fig. 3a and 3b; Extended data, Fig. 2e-2h). In line with 125
the specificity of TTLL7 activity 13, the intensity of PolyE immunostaining was not altered (Fig. 3c and 126
3d), while quantification of βmonoE immunofluorescence revealed a decrease compared to control 127
axons as expected (0.55-fold, normalized to Tubb3, Fig. 3e and 3f). Consistently, the pruning speed of 128
motor axons was similar in TTLL7 mnKO vs. control muscles ( Fig. 3g). These data corroborate that only 129
the density of TTLL1-added polyglutamylation, but not TTLL7 -catalyzed βmonoE seeds, influences 130
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pruning—suggesting a high level of specificity in th e regulation of pruning via microtubule PTMs, in 131
line with the tubulin code concept. 132
TTLL1KO leads to pruning defects in the CNS 133
We next explored whether reduced TTLL1-mediated polyglutamylation of microtubules would also 134
Result
in defective pruning processes in the CNS. We chose granule neurons of the dentate gyrus, 135
which provide a well-established and easily quantified murine model for ‘stereotyped’ pruning. During 136
the first two postnatal months, granule cells retract their infrapyramidal bundle (IPB) of mossy fibers, 137
while the main suprapyramidal bundle (SPB), is maintained ( see schematic; Fig. 4a). We used a 138
constitutive TTLL1KO mouse model, which exhibits reduced PolyE levels in the brain 14. Quantification 139
of the IPB/ SPB length ratio in sections immunostained for Calbindin D -28K, which sel ectively stains 140
mossy fibers, revealed delayed pruning of the IPB in TTLL1 KO vs. control mice (Fig. 4b-d). We further 141
tested if elimination of spines in granule neuron dendrites —i.e., remodeling of input synapses further 142
upstream in hippocampal circuitry —was delayed as well. Gene-gun based DiI labelling 40 before (3 143
week-old mice) and after the pruning phase (8 week-old mice) showed that TTLL1KO mice developed 144
normal spine densities initially, but failed to prune (Fig. 4e-g). This suggests that TTLL1 -mediated 145
polyglutamylation might be a general pacemaker for the execution of remodeling processes, not only 146
during competitive elimination of peripheral synapses, but also during stereotyped pruning in the CNS. 147
Polyglutamylation of tubulin alpha-4A instructs remodeling 148
Exploration of tubulin isoforms in our motor neuron translatome data revealed an upregulation of 149
tubulin alpha-4A (Tuba4a) among the alpha isoforms, with a consistent increase across the synaptic 150
pruning phase (+63% from P5 to P14; Fig. 5a). In contrast, other tubulin alpha isoforms were either 151
stably expressed (e.g., Tuba1b and Tuba1c; Fig. 5a) or downregulated (Tuba1a; Fig. 5a). Interestingly, 152
Tuba4a is the isoform which seems to carry the longest glutamate side chains 41, 42. In light of th is 153
expression pattern, we investigated the effect of Tuba4a -specific polyglutamylation loss in neuronal 154
remodeling. For this, w e utilized Tuba4a knock-in mice (Tuba4aKI), which carry a mutated Tuba4a 155
allele, which prohibits glutamylation of this specific tubulin isoform 41. Using confocal analysis of 156
double immunostainings for PolyE and Tubb3 in terminal axons in Tuba4aKI triangularis sterni muscles, 157
we found a phenotype resembling to that of TTLL1 mnKO: Tubb3 intensity increased ( 1.2-fold; 158
normalized to neurofilament; Fig. 5b and 5c), while the intensity of the P olyE signal staining was 159
reduced (0.9-fold; normalized to Tubb3; Fig. 5d and 5e). As motor axon remodeling was significantly, 160
albeit transiently, delayed ( Fig. 5f), we conclude that polyglutamylation of tubulin alpha-4A is 161
necessary to initially drive the pruning of motor axons. 162
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Genetic deletion of deglutamylases CCP1 and CCP6 in motor neurons accelerates pruning 163
We next wondered whether the described system operates in both direction s, meaning that hyper-164
polyglutamylation of microtubules would accelerate axon pruning. Deglutamylases (CCPs) catalyze the 165
removal of glutamate chains from tubulin C -terminal tails 43-45, and thus counteract the enzymatic 166
activity of elongating glutamylases. We focused our efforts on combined motor neuron -specific 167
deletions of CCP1 and CCP6 (CCP1&6mnKO), as—while CCP1 was the dominant CCP transcript in our 168
translatome data (Fig. 1f)—CCP6 is known to have compensatory potential. 169
Immunofluorescence analysis in terminal triangularis sterni axons at P9 revealed a reduction of Tubb3 170
levels in CCP1&6 mnKO mice compared to littermate controls (0.8-fold; normalized to neurofilament; 171
Fig. 6a and 6b). Unexpectedly, PolyE immunostaining intensity was significantly decreased (0.6-fold; 172
normalized to Tubb3; Fig. 6c and 6d), while βmonoE levels remained unaltered as predicted (Fig. 6e 173
and 6f). In converse to the TTLL1mnKO phenotype, acetylated microtubules were increased significantly 174
(Fig. 6g and 6h). Furthermore, we observed changes of EB3-YFP comet dynamics, with a 27 % drop in 175
density and a 12 % increase in mean velocity in CCP1&6mnKO compared to control mice (Extended data, 176
Fig. 2i and 2k). Microtubule plus-end growth (EB3 comet orientation) and length distribution remained 177
normal (Extended data, Fig. 2j and 2l). Correlative live imaging of EB3-YFP comet density normalized 178
to tubulin beta-3 immunostaining in fixed tissue on the single axon level was unchanged in the 179
CCP1&6mnKO compared to CCP1&6 mnWT controls ( Extended data, Fig. 3a-d). Of note , the synapse 180
elimination process in CCP1&6 mnKO mice was accelerated, in accordance with lower Tubb3 levels, as 181
fewer neuromuscular synapses were polyinnervated at several time points (Fig. 6 i). This finding 182
corroborates that the polyglutamylation “writer” and “eraser” enzymes bidirectionally or 183
“rheostatically” regulate the developmental remodeling of axons and synapses. 184
Spastin swiftly eliminates excessively polyglutamylated microtubules 185
The absence of excess polyglutamylation in young CCP1&6mnKO motor axons is surprising, as CCPs 186
remove glutamate residues from microtubules; consequently, their genetic deletion should result in 187
an increased PolyE immunostaining. We explored two possible explanations for this observation: (i ) 188
excessive polyglutamylation might result in highly branched, arborized polyglutamyl chains that could 189
evade PolyE-immunodetection due to steric hin drance 46 or (ii) instantaneous severing and 190
subsequent destabilization of excessively polyglutamyl-decorated microtubules by enzymes such as 191
spastin 27 might leave the polyglutamylated microtubule pool paradoxically depleted. 192
To test the former possibility , we performed anti-GT335 immunostainings, an antibody recognizing 193
the branching point of glutamate chains on tubulin tails 24, 47 independent of chain length . Confocal 194
quantification indicated a similar staining intensity in CCP1&6mnKO mice compared to controls (Fig. 6j 195
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and 6k). This suggests that the absence of hyper-polyglutamylation in CCP1&6mnKO mice has a 196
biological, rather than technical , explanation. Next, we focused on a possible intersection of the 197
effects of absent CCP-type deglutamylase activity and spastin activation. To test this, we conducted 198
neonatal (P3) injections of an adeno associated virus ( AAV9-hSyn-Cre), which expressed Cre 199
recombinase in neurons only, in conditional CCP1 and spastin mice that also carried a reporter allele 200
(CCP1flox/flox X Spast flox/flox X TdTomato). The TdTomato reporter fluorescence was analyzed in motor 201
axons at P9 to validate successful Cre -mediated excision (Fig. 7a ). To circumvent background 202
ambiguities and the lack of reliable in situ detection tools for endogenous spastin or deglutamylases, 203
the tdTomato signal was indexed in quan tiles based on fluorescent intensity . We compared the 204
quantile with the highest intensity (tdTomatohigh; which we considered most likely for CCP1 and spastin 205
double-deletion) with the bottom quantile (tdTomatolow; likely non-recombined) for levels of PolyE 206
immunostaining. This indeed revealed a 2-fold increase of PolyE in the tdTomatohigh compared to the 207
tdTomatolow axons (Fig. 7b and 7d), which was accompanied by added microtubule content (1.3-fold; 208
Fig. 7b and 7c). Notably, spastin translation decreases from P5 onwards (which contrasts to other 209
severing enzymes, such as Katnal1; Extended data, Fig. 4a and Table 3 ). This suggests that 210
deglutamylases might be more relevant later in life —and, consistently, quantification of 211
immunostainings in adult CCP1&6 mnKO motor axons showed lower microtubule mass ( 0.4-fold; 212
normalized to neurofilament; Extended data, Fig. 4b and 4c) accompanied by a drastic increase in 213
PolyE intensity (4.1-fold; Extended data, Fig. 4d and 4e). In summary, microtubular content and PTM 214
composition in motor axons appears to be controlled by the interplay of tubulin glutamylases, 215
deglutamylases and specific microtubule severing enzymes. 216
Microtubular PTM levels are under control of neurotransmission 217
Neuronal activity is a main driver of sculpting neural circuits, including at the neuromuscular synapse 218
19, and it has been demonstrated to facilitate tubulin polygluta mylation 48. We previously 219
demonstrated that block of neurotransmission by injection of α-bungarotoxin (α-BTX), which blocks 220
postsynaptic acetylcholine rec eptors and stalls synapse elimination , leads to a reduction of tubulin 221
beta-3 immunofluorescence in the presynaptic motor axon 49. In order to test if this loss of tubulin 222
beta-3 is mediated by activity -driven modulation of P TMs, we analyzed polyglutamylation i n motor 223
axons at P9 following an injection of α-BTX into the thorax two days earlier (Fig. 8a). In axon branches 224
that terminated in α-BTX-blocked synapses (BTX+) polyglutamylation dropped significantly compared 225
to control axons (0.7-fold; normalized to Tubb3; Fig. 8b and 8c). This reduction following block of 226
neurotransmission is reminiscent of CCP1&6mnKO mice, where spastin appears to deplete 227
polyglutamylated microtubules faster than glutamyl side chains can accumulate. In order to test this 228
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notion, we injected α -BTX into mice that globally lack spastin (Spast KO) and accumulate 229
polyglutamylation 20, enabling us to detect glutamylase activity u pon block of neurotransmission . 230
Indeed, PolyE immunostaining levels were increased (2.1-fold) in blocked axons ( α-BTX+/SpastKO) 231
compared to branches innervating unaffected synapses ( α-BTX-/SpastKO; Fig. 8b and 8c). Thus, our 232
data suggest that the enzymatic activity of the “elongator” TTLL glutamylase in the presynaptic axons 233
is governed by neurotransmission. In summary , polyglutamylation indeed appears to “en code” 234
activity-dependent signals that are subsequently “read” by spastin, which severs polyglutamylated 235
microtubules and thus facilitates axon branch and synapse removal. 236
Discussion
237
Neurons remodel extensively during development, with remarkable temporal and spatial precision 19, 238
50. The fate of adjacent and otherwise indistinguishable neurites and synapses can starkly diverge—239
some are swiftly removed while others, often immediate neighbors, last for a lifetime 51. The 240
microtubule cytoskeleton appears to play a key role in such remodeling processes 16, 31. Albeit, how 241
cytoskeletal functions would be regulated in the required temporally- and spatially-controlled manner 242
has remained unclear. Here, we reveal a rheostatic system of enzymes 27 that determines the speed 243
of rem odeling and is governed by the “writer” polyglutamylase TTLL1 and opposing “eraser” CCP 244
deglutamylases. This system sets the glutamylation level, which in turn determines axon or synapse 245
fate via the microtubule destabilizing action of the “reader” severase spastin 20. 246
This concept is noteworthy from two vantage points: First, as a uniqu e in vivo manifestation of the 247
“tubulin code” concept, where PTMs convey specific local functionalit y to the cytoskeleton during 248
neurodevelopment, and second, as a possible general cell biological mechanism of branch -specific 249
axon or synapse dismantling. The “tubulin code” hypothesis suggests that PTMs modify microtubule 250
function, including stability, dynamics, and interactions 4, 52. Polyglutamylation is a modification that 251
is especially pronounced in neurons. By changing tubulin’s charge characteristics, glutamylation can 252
affect the recruitment of MAPs to microtubules 53, 41, 54. Accordingly, polyglutamylation has been linked 253
to transport deficits and consequent neurodegeneration 13, 14, 55, 56. However, physiological roles have 254
been harder to decipher for this PTM. Indeed, the large set of involved enzymes, which catalyze 255
addition and removal of glutamate residues, and the difficulty to probe them with sufficient spatial 256
and temporal precision in the developing nervous system make such investigations challenging. Our 257
translatome-guided and cell -type se pecific genetic approach, now reveal TTLL1-mediated 258
polyglutamylation of tubulin alpha-4A (Fig. 2 and 5) as an important step in neuronal pruning and 259
corroborate the high level of enzymatic specificity of the tubulin polyglutamylation system also in 260
neural development 13, in full concordance with the “tubulin code” concept. In contrast, the initiator 261
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glutamylase TTLL7, which catalyzes the addition of the first glutamate onto tubulin beta isoforms 57, 262
does not seem to be involved in remodeling ( Fig. 3). Notably, tubulin alpha-4A—while not the most 263
abundantly expressed tubulin iso form—is the only tubulin alpha isoform that shows increasing 264
expression across the neuromuscular remodeling period ( Fig. 5a). This suggests that transcriptional 265
regulation of tubulin genes and perhaps enzymes might be a global factor that is permissive for 266
efficient polyglutamylation-driven remodeling. A further proposition that remains to be tested on the 267
basis of increasing expression ( Fig. 1e) is that TTLL5, a n alternative “seeder” glutamylase for tubulin 268
alpha 58, might act upstream of TTLL1 during remodeling. 269
Our data contain further examples of the complex interplay both on the transcriptional and the post-270
translational level between various players i n this system. For instance , the motor neuron -specific 271
deletion of deglutamylases (CCP1&6mnKO) had different outcomes regarding microtubular mass and 272
polyglutamylation levels in developmental remodeling vs. in adult motor axons (Extended data, Fig. 273
4b-e)—two time windows between which spastin mRNA levels dropped (Extended data, Fig. 4a). This 274
drop in polyglutamy lation could be reversed during remodeling by combined deletion of CCP1 and 275
spastin (Fig. 7), suggesting that microtubule stability and apparent PTM levels are the result of the 276
dynamic balance between “eraser” and “reader” activity. In this model, hyper-activated spastin 277
normally removes polyglutamyl-decorated microtubules faster than this population can be 278
replenished—leading to the observed paradoxical relative loss of polyglutamylated microtubules after 279
ablation of the enzymes that normally remove this PTM. 280
Polyglutamylation can profoundly vary even between adjacent axon branches that only differ in their 281
subsequent fate 20. Together with our data, this suggests that glutamate residues can be added onto 282
microtubules not only with temporal but also with high spatial precision. The se locally modified 283
microtubules can then, in turn, recruit and activate special sets of MAPs, including tau, kinesin motors, 284
and severing enzymes, such as spastin 59, 27, 41, 54. Our data also reveal that changing one PTM (e.g. via 285
genetic manipulation of TTLL1) can percolate within the cytoskeleton to affect other PTMs, such as 286
acetylation 37. Thus, the interplay between various PTMs results in a complex pattern of specialized 287
microtubule subsystems within individual axon branches that determines pruning via regulation of 288
microtubule stability and function. Overall, our work implies that polyglutamylation-based encoding 289
can tag neurites for removal —a new model of selective axon removal that can be tested in other 290
species and models. 291
Open questions that remain, are which events take place upstream and downstream of the spastin-292
mediated microtubular destabilization. For instance, how does microtubule breakdown result in the 293
characteristic but often d ivergent neuritic morphologies that accompany pruning? At the 294
neuromuscular junction, axo nal b reakdown involves the formation of axon bulbs, followed by 295
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11
piecemeal degradation, resembling apoptotic body shedding 29, 50. In contrast , mossy fibers in the 296
infrapyramidal bundle and axons in remode ling neurons in the mushroom body seem to rather 297
undergo fragmentation 50, 60, while spines are typically absorbed without a morpholo gical trace 61. 298
Interestingly, many morphogenic processes in neurites are more commonly associated with actin 299
dynamics rather than with microtubule breakdown 62, 63. However, the switch between growth and 300
retraction of neu rites is known to involve an interplay of actin and microtubules 64. Similarly, the 301
balance between the longitudinally rigid co -axial microtubules vs. circumferentially-running actin 302
striations might normally prevent axons from beading 65, 66. Thus, the idea that polyglutamylation -303
triggered microtubule loss could trigger shape changes that are seen during pruning is supported by 304
existing eviden ce, while how the subsequent steps of axonal disintegration followed by glial 305
engulfment are triggered remains to be resolved. 306
Another key feature of some forms of neuronal remodeling is activity -dependence 50, 67. Also here it 307
remains overa ll unclear how altered activity patterns translate into morphogenic change. In our 308
experiments, chronic α-bungarotoxin blockage of neuromuscular synapses ( Fig. 8) changed the 309
polyglutamylation levels in presynaptic motor axons. However, it remains elusive, which factor in the 310
enzymatic equilibrium that governs polyglutamylation levels is affected and how the enzymes that 311
mediate or interpret polyglutamylation are regulated by the transcellular signaling that underlies 312
synapse elimination 64. For example, s pastin phosphorylation might regulate its binding to 313
microtubules or protein stability, although it is not clear how this would impact severing 68. For TTLLs 314
and CCPs, information about how their enzymatic activity is regulated is even sparser 37, 69. Indeed, 315
thus far no link between regulatory mechanisms that control polyglutamylation and the signaling 316
pathways that are presumed to execute neurite remodeling 50 has been made. Our prior work provides 317
a possible feedback mech anism, by which the relevant enzymes themselves might be provided by 318
microtubule-dependent transport, which we have shown to stall early in remodeling 20 and influence 319
other signaling events, such as myelination 49. Thus, changes in transport could alter the local 320
equilibrium between the addition and the removal of glutamate residues, with spastin actin g as a 321
local, branch-specific detector. 322
Indeed, our work strengthens the long -sought link between developmental neurite remodeling and 323
axon degeneration 50. Many of the enzymes of the remodeling mechanism that we describe here are 324
linked to neurodegenerative disease: Spastin to hereditary spastic paraplegia 8, CCP1 to infantile-onset 325
neurodegeneration 70, and Tuba4a to motor neuron disease 41. A unifying mechanism could involve 326
alterations on microtubule dynamics , followed by altered organelle and enzyme transport, which 327
again could feed back to cytoskeletal stability 71. Thus, developmental neurite remodeling could be 328
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12
instructive for developing subtler strategies to target microtubules in settings of axon degeneration 329
by focusing drug development on polyglutamylation. 330
Acknowledgments 331
We t hank Emily Spaulding and Rob Burgess (The Jackson Laboratory, Bar Harbor, ME , USA) for 332
providing the RiboTag protocol ; Julien Gagneur (Technical University Munich, Computational 333
Molecular Medicine, Munich, Germany) for advice on RNA sequencing analysis; Leanne Godinho for 334
critically commenting on the manuscript and Adrian Marti Pastor for advice on software. For excellent 335
technical assistance, we thank Kristina Wulliman , Sabine Brummer and Yvonne Hufnagel; for animal 336
husbandry, we acknowledge Manuela Budak, Nebahat Budak and Matea Korica; we also thank Kristine 337
Kellermann for veterinarian consultancy and Sebastian Berger for IT-support. 338
Author contributions 339
Conceptualization AG, AZ, CJ, TM, MSB; data curation AG, AZ; methodology MB, TM, MSB; funding 340
acquisition TM, MSB; investigation AG, AZ, MW, MR; resources KAZ, MM, TJH, CJ, SE, MK, TM, MSB; 341
supervision CJ, SE, MK, MB, TM, MSB ; visualization AG, AZ; writing – original draft AG, TM, MSB; 342
writing – review & editing all authors. 343
Funding 344
TM and MSB were funded by the German Research Foundation (DFG) Excellence Cluster SyNergy (EXC 345
2145 – ID 390857198). MSB is the recipient of a DFG research grant (LE 4610/1-1 – ID 450131873) and 346
supported by the DGM foundation. TM was further supported by the European Research Council 347
under the European Union’s Seventh Framework Program (grant no. FP/2007 -2013; ERC Grant 348
Agreement no.: 616791), the German Center for Neurodegenerative Disease (DZNE), by DFG Mi 349
694/9-1 (FG Immunostroke 428663564) and by the DFG TRR 274/1 2020 (project s C02 and B03; ID 350
408885537). SE was supported by the DFG (ID 4 03584255–TRR267) and the Federal Ministry of 351
Education and Research (BMBF) in the framework of the Cluster4future program (CNATM - Cluster for 352
Nucleic Acid Therapeutics Munich). MK was supported by the DFG grants KN556/11-1 and KN556/11-353
2. MB was supported by Czech Science Foundation grant 21-24571S. MR was supported by the Grant 354
Agency of Charles University grant GAUK 275423. CJ is supported by the program “Investissements 355
d’Avenir” launched by the French Government and implemented by ANR with the references ANR-11-356
LBX-0038 and ANR-10-IDEX-0001-02 PSL, by the Institut Curie, the French National Research Agency 357
(ANR) award s ANR-17-CE13-0021 and ANR-20-CE13-0011, and the Fondation pour la Recherche 358
Medicale (FRM) grant s DEQ20170336756 and FRM MND2020030. MM obtained funding from the 359
Fondation Vaincre Alzheimer grant FR-16055p and the France Alzheimer grant 2023. 360
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13
Experimental Procedures 361
Mouse lines, husbandry and genotyping 362
In all experiments, mice from both sexes were included. Animals were housed in i ndividually 363
ventilated cages with food and water ad libitum. All animal experiments conform to the regulations 364
by the local authorities (e.g., Government of Upper Bavaria). Experimental animals were kept together 365
with littermates. 366
Motor neuron knockout specific mice were generated by crossbreeding conditional knockout mice to 367
ChAT-IRES-Cre 32 mice, expressing Cre -recombinase under the ChAT -promotor (Jackson #6410). 368
‘Ribotagging’ of motor neurons was conducted in ChAT-IRES-Cre crossbred to homozygous Rpl22HA 33 369
mice (RiboTagflox/flox; Jackson, #11029) and conditional Spast flox/flox (Fig. 1, Fig. 5 and Extended data, 370
Fig. 1 and 3). Glutamylases (TTLL1 or TTLL7) or deglutamylases (CCP1 and CCP6) were deleted in motor 371
neurons by crossbreeding conditional mutants of CCP1 72 &6 14, TTLL1 14 or TTLL7 13 mice (gift from Dr. 372
C. Janke, Institut Curie, Orsay) to ChAT-IRES-Cre 32 animals. All animals were CCP1&6, TTLL1 or TTLL7 373
homozygous; experimental animals – CCP1&6mnKO, TTLL1 mnKO or TTLL7 mnKO – were Ch AT-IRES-Cre-374
positive, whereas littermate controls were Ch AT-IRES-Cre-negative, named hereafter CCP1&6 mnWT, 375
TTLL1mnWT or TTLL7mnWT. Thy1-YFP 73 transgenic mice (cytoplasmic YFP in all motor neurons, Jacks on 376
#3709) were used to assess pruning speed in cross-breeding to CCP1&6mnKO, TTLL1 mnKO, TTLL7 mnKO 377
compared to their littermates CCP1&6 mnWT, TTLL1 mnWT, TTLL7 mnWT. Microtubule dynamics was 378
visualized and analyzed by Thy1-EB3-YFP 38 transgenic animals crossed to either CCP1&6 mnKO, 379
TTLL1mnKO or TTLL7 mnKO; CCP1&6 mnWT, TTLL1 mnWT or TTLL7 mnWT were littermate controls. Conditional 380
knockout of CCP1 72 and Spastin 20 in motor neurons, monitored by ROSA-CAG-TdTomato reporter 74 381
(Ai14; Jackson; #7914; CCP1flox/flox X Spastflox/flox X TdTomato) was generated by injection of viral vectors 382
encoding Cre-recombinase. Block of neurotransmission was conducted and analyzed in constitutive 383
spastin knockout 20 (SpastKO) mice (homozygous Spast KO vs controls SpastWT) and C57BL/6N (Charles 384
River, Strain Code 027) controls injected with α -BTX. Spine density measurements, hippocampal 385
pruning analysis was performed on TTLL1 constitutive knock-out 14 (named here TTLL1KO; gift from Dr. 386
C. Janke, Institut Curie, Orsay, France) backcrossed to CD-1 (Charles River, Strain Code 022) for three 387
generations. Cytoskeletal analysis and pruning speed were analyzed in homozygous tubulin alpha-4A 388
knock-in 41 (Tuba4aKI/KI) mice (kindly provided by Dr. M. Kneussel, ZMNH , Hamburg, Germany), and 389
negative, thus wildtype, littermates (Tuba4aWT/WT) served as controls. Genotyping of the Tuba4aKI was 390
performed as published 41. 391
Genotyping was performed as previously described 20, 49 (for the Tuba4aKI see above). Briefly, genomic 392
DNA was extracted from biopsies using a one -step lysis (lysis buffer in mM: 67 Tris, pH 8.8, 16.6 393
(NH4)2SO4, 6.5 MgCl2, 5 β-mercaptoethanol, 10 % Triton-X-100, and 50 μg/ml Proteinase K; incubation 394
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14
at 55 °C for 5 h, followed by inactivation step 5 min at 95 °C). PCR was performed with GoTaq Green 395
Master Mix (Promega; #M7121) following a standard protocol, and then DNA was separated on a 1.5–396
2 % agarose gel. Primer sequences are available upon request. 397
Ribosomal pull down and RNA sequencing 398
Spinal cords were dissected from ChAT-IRES-Cre X Rpl22HA X Spastflox mice (see Mouse lines, husbandry 399
and genotyping above). The sampl es were kept at -80 °C until pull down of labeled ribosomes 400
described previously 33 (see also http://depts.washington.edu/mcklab/RiboTag.html). Spinal cords 401
were homogenized (buffer in RNase free water in mM: 50 TrisCl, pH7.5, 100 KCl (Sigma #P9541), 12 402
MgCl2 (Sigma #63068), 1 % NP-40 (Roche, #11332473001), 1 X Dithiothreitol (DTT, Sigma #646563), 1 403
X Protease Inhibitors (Sigma #11697498001), 1 mg/ml Heparin (Sigma #H3393), 1 00 µg/ml 404
cycloheximide (Sigma #C7698), RNAseOUT (Thermofisher #10777019). The mRNA-ribosome complex 405
was precipitated using a polyclonal HA -antibody (Sigma #H6908) and Dynabeads Protein G (Life 406
Technologies #10004D) as previously described. Ribosome -bound mRNA was isolated with RNeasy 407
Plus Micro Kit (Qiagen #74034) per manufacturer instructions (not precipitated fraction was used as 408
“input” spinal cord control). Prior sequencing, RNA quantity and integrity (RIN > 8.5) was controlled 409
with a Bioanalyzer (Agilent RNA 6000 Nano) and rRNA was depleted . Motor neuron mRNA was 410
sequenced in pair -end using an Illumina HiSeq4000 Kit, at a depth of ~40 million reads per sample 411
(Institute of Neurogenomics, Juliane Winkelmann, Helmholtz Munich, Germany). The raw sequencing 412
data (fastq files) were aligned to the mm9 mouse genome and read counts were extracted with HTSeq-413
count software with option “intersectionStrict”. Lowly expressed RNAs (< 10 re ad counts were 414
excluded and differential gene expression analysis was performed with DESeq2 software package 75. 415
A likelihood ratio test was performed on the timeline analysis (P5, 7, 9, 11, 14). Graphs were generated 416
using ggplot2 from custom ‘R’ statistical software scripts 76. 417
Reverse Transcription (RT)-qPCR 418
All following steps were conducted on ice. cDNA was obtained according to manufacturer’s 419
instruction. Briefly, 100 ng ‘ribotagged’ motor neurons mRNA, 100 µM random hexamer primers 420
(Roche # 11034731001) and 1 μl RNAsin Plus Inhibitor (Promega #N2615) were dissolved with water 421
in 14 μl total volume. The mixture was incubated for 5 min utes at 70 °C, and 10 min utes on ice. 5 μl 422
of M-MLV Reverse Transcriptase Buffer (Promega #M531A), 10 mM NTPs mixture and 200 U of MMLV 423
(Promega #M170A) were added and the mixture incubated for 1.5 h at 37 °C. cDNA was purified with 424
a QIAEX II Gel Extraction Kit (Qiagen #20021) as follows: The obtained cDNA was mixed with 2 μl QiaEX-425
II suspension (Silica-Matrix) and 80 μl QX-I buffer, incubated for 20 minutes at 25 °C at 1,000 rpm and 426
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15
centrifuged at 13,000 x g for 2 min utes. The supernatant was discarded and the matrix was washed 427
twice with 90 μl PE buffer and centrifuged at 13,000 x g for 2 minutes. The supernatant was removed 428
and the pellet dried for 10 min utes with lid open at 300 rpm shaking at 25 °C. The cDNA was elut ed 429
with 20 μl elution buffer (1 mM Tris, pH 8.5), and incubated at 25 °C with 1 ,000 rpm for 430
homogenization. After centrifugation at 13,000 x g for 2 minutes the supernatant containing the clean 431
RNA was collected. 432
All qPCR reactions were performed with a LightCyler 1.3 Real-Time PCR system (Roche S/N: 140 6143). 433
The MgCl2 concentration (1-3 mM) and the annealing temperature were optimized for each primer 434
pair and confirmed through primer efficiency curves 40. Primer sequence were (5’ to 3’): Chat: 435
TTCTAGCTGTGAGGAGGTGC and CCCAAACCGCTTCACAATGG, GFAP: TCGCACTCAATACGAGGCAG and 436
TTGGCGGCGATAGTCGTTAG. For each reaction, a final concentration of 1 ng/μl cDNA was mixed with 437
2 μl FastStart DNA Master SYBR Green I (Roche #03 003 230 001), 0.5 μM forward and reverse primer, 438
1-3 mM MgCl2 and water to a total volume of 20 µl. Samples were run at least in triplicates. For each 439
primer pair, controls omitting either template or reverse transcriptase were included. 440
Immunofluorescence 441
The whole thorax was fixed in 4 % PFA for 1 h in 0.1 M phosphate buffer (PB) on ice and the triangularis 442
muscle was dissected and extracted as described previously 20, 31, 36, 49, 77. Prior to application of primary 443
antibodies, muscles were incubated in 5 % CHAPS (Carl Roth #75621-03-3) in 0.1 M PB for 1h at 37 °C. 444
Primary antibodies (see details below) were diluted in blocking solution (5 % BSA (Sigma #A7030, 0.5 445
% Triton-X in 0.1 M PB or 3 % BSA, 0.5 % Triton -X and 12 % NGS (Abcam #ab7481) in 0.1 M PB) and 446
incubated at 4°C overnight for postnatal muscles, 3 days when adult tissue or anti-acetylated tubulin 447
antibody was used. The following primary antibodies wer e used in this study: anti -tubulin beta-3 448
conjugated to Alexa Fluor 488 (BioLegend; AB_2562669; mouse IgG2a, 1:200), Alexa Fluor 555 (BD 449
PharMingen; #560339; mo use monoclonal, 1:200), or Alexa Fluor 647 (BioLegend; AB_2563609; 450
mouse IgG2a, 1:200), anti - GT335 (Adipogen, Mouse IgG1, 1: 200), anti -polyE (Adipogen, AG-25B-451
0030, Rabbit IgG, 1:1 ,000), anti -acetylated-tubulin (Abcam, 611B1, mouse IgG2b, 1:1 ,000), anti -452
neurofilament heavy polypetide (Abcam, ab4680, chicken, 1:500), anti-βmonoE (rabbit, IgG, gift from 453
Carsten Janke, 1:500). Muscles were washed in 0.1 M PB, incubated for 1 h at room temperature with 454
corresponding secondary antibodies coupled to Alexa Fluo r 488, Alexa Fluor 594, or Alexa Fluor 647 455
(Invitrogen; rabbit: #A-11070, #A-11072, #A-21246, #A-32790; mouse: #A-11005; chicken: #A-11042; 456
#A- 21449; goat: #A -11058) and washed again in 0.1 M PB. Muscles or sections were mounted in 457
Vectashield (Vector Laboratories) or Prolong-Glass (Thermo Fisher). Image stacks were recorded at a 458
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16
confocal microscope (Olympus; FV1000 or FV3000) equipped with ×20/0.8 NA and ×60/1.42 NA oil -459
immersion objectives (Olympus). 460
For immunostaining of spinal cord sections ( Fig. 1), mice were transcardially perfused with PBS and 461
ice-cold 4 % PFA. Spinal cords were dissected and post -fixed overnight with 4 % PFA. 60 µm thick 462
vibratome sections were then immunostained with antibodies against Choline Acetyl -Transferase 463
(ChAT) (anti-ChAT, Novus Biologicals, goat, NBP1‐30052, 1:10) and HA (anti-HA, Sigma-Aldrich, H6908, 464
1:50), for 2 days over night. Spinal cord sections were washed in 1 x PBS, incubated for 1 h at room 465
temperature with corresponding secondary antibodies coupled to Alexa Fluor 488 and Alexa Fluor 594 466
(see above). The antibodies for spinal cord staining were diluted in blocking solution prepared with 5 467
% Normal Donkey Serum (Millipore #S30-M) and 0.5 % Triton-X in 1 x PBS. 468
Immunostaining of brain sections (Fig. 4) was carried out as described previously 40. Briefly, mice were 469
transcardially perfused with PBS and ice-cold 4 % PFA in PBS and brains were post-fixed in 4 % PFA in 470
PBS overnight, embedded in paraffin blocks and cut at 7 µm thick coronal sections. Prior staining, 471
antigen retrieval (Citrate-Based Antigen Unmasking Solution, Vector Laboratories) and blocking (1 % 472
BSA, 0.2 % Tween20) was performed. For IPB, visualization sections were incubated overnight at 4 °C 473
with anti-calbindin D28K antibody (Swant #CB-38a, 1:300) diluted in blocking solution. Subsequently, 474
samples were washed three times with PBS with 0.2 % Tween 20 and incubated for 2 hours at room 475
temperature with fluorescent secondary antibody coupled to Alexa Fluor 594 or Alexa Fluor 488 (Life 476
Technologies, #A-11037; A-11008) in blocking solution, washed three times with PBS with 0.2 % Tween 477
20 and embedded in Mowiol with 1 µg/ml Hoechst. Images were recording using a confocal 478
microscope (Leica SP8 and Leica Stellaris). 479
DiOlistics labeling of hippocampal granule cells and dendritic spine density analysis 480
For visualization of dendritic spines in TTLL1 KO brains a DiOlistic approach was used as described 481
previously 40. In brief, mice were perfused with 20 ml of 4 % PFA/PBS, and brains were isolated and 482
post-fixed in 4 % PFA/PBS for 30 minutes. Then, brains were washed in PBS for 30 minutes and 483
incubated in 15 % sucrose for 30 minutes , followed by 30 minutes in 30 % sucrose. 250 µm thick 484
coronal slices were cut in vibratome, washed in PBS and incubated for 5 minutes in 15 % sucrose and 485
subsequently in 30 % sucrose. The solution was removed and DiI was introduced into the brain slices 486
by DiI -labeled tungsten particles (prepared as previou sly described 40 with the use of a Gene Gun 487
helium‐powered system (Bio‐Rad) and 120 Psi pressure. After the labelling, slices were washed in PBS 488
to remove residual tungsten particles and kept for 30 minutes in PBS in the dark to let the dye diffuse. 489
Slices were mounted onto a glass slice in 0.5 % n‐propyl gallate/ 90 % glycerol/PBS (NPG) and the next 490
day imaged by a confocal microscope ( Leica Stellaris). Analysis of the dendritic spine density was 491
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17
performed in 3 different TTLL1WT and TTLL1KO brains (at least 10 labelled gr anule cell dendrites were 492
analyzed per brain). 493
Virus production 494
AAV9-hSyn-iCre was produced as outlined previously 78. In brief, HEK293 -T cells were seede d in 10 -495
tray Cell Factories (Thermo Fisher Scientific) 24 hours before transfection, allowing the cells to reach 496
80-90 % confluence. Subsequently, 420 μg of the vector plasmid dsAAV -hSyn-iCre and 1.5 mg of the 497
helper plasmid pDP9rs, generously provided by Roger Hajjar (Phospholamban Foundation, 498
Amsterdam, The Netherlands), were introduced into the cells by polyethyleneimine -mediated 499
transfection (Polysciences, 24765 Warrington, PA). Cells were harvested after 72 hours, followed by 500
lysis and benzonase treatm ent. To purify the AAVs, ultracentrifugation on an iodixanol density 501
gradient (Progen, OptiPrep) was applied. Buffer exchange from iodixanol to Ringer's lactate buffer was 502
then carried out using Vivaspin 20 columns (Sartorius, VS2042, Göttingen, Germany). To obtain high 503
virus titers, the virus content of two 10 -tray Cell Factories was pooled and concentrated. Real -time 504
qPCR with SYBR Green Master Mix (Roche) was performed to evaluate AAV9 titers. 505
Neonatal AAV9 or α-BTX injections 506
Viral vectors were injected into neonatal pups according to previously published protocols 20, 49, 79. In 507
short, P3 pups were briefly anesthetize d with isofluorane (Abbott) and injected with 3 μl of AAV9 -508
hSyn-iCre (titer 1 x 10 13 to 2 x 10 14) into the right lateral ventricle using a nanoliter injector (World 509
Precision Instruments; Micro4 MicroSyringe Pump Controller connected with Nanoliter 2000) 510
attached to a fine glass pipette (Drummond; 3.5”, #3 -000-203-G/X) at a rate of 30 nl/s. The injection 511
was guided by ultrasound (Visualsonics, Vevo® 2100). 0.05 % (wt/vol) trypan blue was added to the 512
viral solution for visualizing the filling of the injected ventricles. Whole litters were injected, and pups 513
were allowed to recover on a heating mat before the litter was returned to their mother into the home 514
cage and sacrificed on P9 for experiments. 515
For analysis, Cre-mediated deletion in conditional CCP1 and Spast knockout (CCP1flox/flox 72 X Spastflox/flox 516
20) was verified by a robust expression of the TdTomato reporter allele 74 (homozygous) in motor 517
neurons of the triangularis sterni muscle. According to TdTomato fluorescence intensity in axons, 518
recombination was assumed, when fl uorescence was in the upper quan tile and negative when they 519
belonged to the lowest quantile. All other axons were excluded from analysis. 520
To block neurotransmission in the triangularis ste rni muscle of C57BL/6N (Charles River, Strain Code 521
027) or SpastKO 20 mice, 1 µl of 50 µg/µl α-BTX conjugated to Alexa Fluor 594 (Invitrogen; B13423) was 522
injected with a needle unilaterally in the thorax on P7, as previously described 49. In some cases, a 523
post-hoc stain of the triangularis sterni muscle with anti -Neurofilament (see above) or α -BTX Alexa 524
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18
Fluor 488 or 594 further verified the degree of labeling with injected α -BTX conjugated Alexa Fluor 525
594 and absence of denervation (> 100 neuromuscular junctions ( NMJs) per mouse, n = 3 mice). 526
Immunostaining and quantification were conducted as described above with anti-tubulin beta-3 and 527
anti-polyE antibodies. 528
Live imaging of EB3 comet densities in nerve-muscle explants 529
EB3 comet imaging was performed on acute nerve -muscle explants as previously described 20, 38. In 530
brief, the thorax of euthanized mice was obtained by removing the skin over the rib cage, severing the 531
ribs close to the spinal column and dissecting the diaphragm. Further dissections were done under 532
oxygenated, ice-cold Ringer’s solution (in mM: 125 NaCl, 2.5 KCl, 1.25 NaH 2PO4, 26 NaHCO3, 2 CaCl2, 533
1 MgCl 2, and 20 glu cose, oxygenated with 95 % O 2/ 5 % CO 2) to remove thymus, pleura, lung and 534
pectoral muscles over the rib cage. The explant was fixed with insect pins (Fine Science Tools; 26001–535
25, 0.25 mm) on a Sylgard-coated 3.5 cm petri dish, with the inside of the thorax facing the objective. 536
Imaging was performed under continuous and steady perfusion with warmed oxygenated Ringer’s 537
solution and kept at physiological temperatures 33-36 °C by a heated stage connected to an automatic 538
temperature controller (Warner Instruments; TC-344C). Total imaging time on explants did not exceed 539
2 h ours. Live imaging was carried out with an epifluorescence microscope ( Olympus BX51WI ) 540
equipped with ×20/0.5 NA and ×100/1.0 NA water -immersion objectives, an automated filter wheel 541
(Sutter I nstruments; Lambda 10 –3), a charge -coupled device camera (Visitron Systems; CoolSnap 542
HQ2), controlled by μManager version 1.4 80. A total of 200 frames were acquired per movie, at a 543
frequency of 0.5 Hz and an expos ure time of 500 ms using a YFP filter s et (F36 -528; AHF 544
Analysentechnik). 545
Data analysis 546
ImageJ/FiJi 81 (http://fiji.sc) was used to determine pruning speed, by counting the number of 547
innervating terminal branches ending on each α -BTX-stained neuromuscular junction . For 548
quantification of immunostainings three background subtracted areas (ROIs; measured for mean gray 549
value) were averaged per single axon. Each ROI was obtained from a single optical section, as 550
previously described 20, 49. IPB length was quantified using the ratio of IPB length to the length of the 551
CA3 as described previously 82. To quantify EB3 comet parameters, out-of-focus frames were deleted 552
manually from movies a nd aligned with the TurboReg plugin with the parameter Rigid -body and 553
“Quality” set on “Accurate” and comet trajectories were manually analyzed using the MTrackJ-plugin 554
(developed by E. Meijering, Biomedical Imaging Group, Erasmus Medical Center, Rotterdam ). Only 555
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19
EB3 comets that appeared for at least three consecutive frames were considered. Neurolucida 556
software (MBF Bioscience) was used to perform dendritic spine segmentation. 557
For image representation, maximum intensity projections were generated from confocal image stacks 558
with ImageJ/Fiji 81 and then further processed in Adobe Photoshop. All analyses were performed with 559
the experimenter blinded to the treatment or genotypes during imaging and scoring. 560
Statistics 561
Statistical analysis and visualization were performed using ‘R’ 76 or OriginLab software (origin.lab). All 562
experiments included at least 3 biological replicates. Normality was tested and outliers were removed 563
using the Grubbs test. A two -tailed Students t-test was performed if data passed the normality test, 564
otherwise Mann -Whitney test was used for non -parametric data. P < 0.05, indicated as *, was 565
considered significant. P < 0.01 is **, P < 0.001 is ***, and P < 0.0001 is ****. Bars – on the left – show 566
mean + SEM. Violin plots – on the right – depict data distribution, scaled based on constant maximum 567
width (graphs are cut at 90 % level of the dominant violin). 568
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