Alban Latremoliere1, Long Cheng2, Michelle DeLisle3, Chen Wu2, Sheena Chew3, Elizabeth B Hutchinson4, Andrew Sheridan5, Chloe Alexandre6, Frederic Latremoliere7, Shu-Hsien Sheu8, Sara Golidy9, Takao Omura10, Eric A Huebner1, Yanjie Fan2, Mary C Whitman11, Elaine Nguyen12, Crystal Hermawan13, Carlo Pierpaoli4, Max A Tischfield2, Clifford J Woolf1, Elizabeth C Engle14. 1. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA; Department of Neurobiology, Harvard Medical School, Boston, MA, USA. 2. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA; Department of Neurology, Boston Children's Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA. 3. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA; Department of Neurology, Boston Children's Hospital, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA. 4. Quantitative Medical Imaging Section, National Institute of Biomedical Imaging and Bioengineering, NIH, Bethesda, MD, USA; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA. 5. Department of Neurology, Boston Children's Hospital, Boston, MA, USA. 6. Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA. 7. Department of Mathematics, University of Denver, Denver, CO, USA. 8. Department of Pathology and Department of Cardiology, Boston Children's Hospital, Boston, MA, USA. 9. Department of Neurology, Boston Children's Hospital, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA. 10. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA; Department of Neurobiology, Harvard Medical School, Boston, MA, USA; Department of Orthopedic Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan. 11. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA; Department of Ophthalmology, Boston Children's Hospital, Boston, MA, USA; Department of Ophthalmology, Harvard Medical School, Boston, MA, USA. 12. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA; Department of Ophthalmology, Boston Children's Hospital, Boston, MA, USA. 13. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA; Department of Neurology, Boston Children's Hospital, Boston, MA, USA. 14. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA; Department of Neurology, Boston Children's Hospital, Boston, MA, USA; Department of Ophthalmology, Boston Children's Hospital, Boston, MA, USA; Department of Neurology, Harvard Medical School, Boston, MA, USA; Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA. Electronic address: elizabeth.engle@childrens.harvard.edu.
Abstract
We generated a knockout mouse for the neuronal-specific β-tubulin isoform Tubb3 to investigate its role in nervous system formation and maintenance. Tubb3-/- mice have no detectable neurobehavioral or neuropathological deficits, and upregulation of mRNA and protein of the remaining β-tubulin isotypes results in equivalent total β-tubulin levels in Tubb3-/- and wild-type mice. Despite similar levels of total β-tubulin, adult dorsal root ganglia lacking TUBB3 have decreased growth cone microtubule dynamics and a decreased neurite outgrowth rate of 22% in vitro and in vivo. The effect of the 22% slower growth rate is exacerbated for sensory recovery, where fibers must reinnervate the full volume of the skin to recover touch function. Overall, these data reveal that, while TUBB3 is not required for formation of the nervous system, it has a specific role in the rate of peripheral axon regeneration that cannot be replaced by other β-tubulins.
We generated a knockout mouse for the neuronal-specific β-tubulin isoform Tubb3 to investigate its role in nervous system formation and maintenance. Tubb3-/- mice have no detectable neurobehavioral or neuropathological deficits, and upregulation of mRNA and protein of the remaining β-tubulin isotypes results in equivalent total β-tubulin levels in Tubb3-/- and wild-type mice. Despite similar levels of total β-tubulin, adult dorsal root ganglia lacking TUBB3 have decreased growth cone microtubule dynamics and a decreased neurite outgrowth rate of 22% in vitro and in vivo. The effect of the 22% slower growth rate is exacerbated for sensory recovery, where fibers must reinnervate the full volume of the skin to recover touch function. Overall, these data reveal that, while TUBB3 is not required for formation of the nervous system, it has a specific role in the rate of peripheral axon regeneration that cannot be replaced by other β-tubulins.
Mice and humans encode multiple α- and β-tubulin isotypes that
heterodimerize and polymerize to form microtubules (MTs). Tubb3
encodes the only β-tubulin isoform constitutively expressed in all neurons
and not in radial or mature glia, making anti-TUBB3 antibody (Tuj1) the classic
neuronal marker and leading to the general belief that Tubb3 has a
critical role in neuronal structure and function (Ferreira and Caceres, 1992; Jiang and
Oblinger, 1992). A role for TUBB3 in the formation of
the central (CNS) and peripheral (PNS) nervous system is also suggested by evidence
showing that human TUBB3 heterozygous missense mutations cause
severe brain and nerve malformations. One series of TUBB3 mutations
cause primary misguidance of cranial nerves accompanied, in some instances, by
peripheral nerve degeneration (Chew et al.,
2013; Tischfield et al., 2010;
Whitman et al., 2016), and a second
series results in primary malformations of cortical development and pontocerebellar
hypoplasia (Bahi-Buisson et al., 2014; Oegema et al., 2015; Poirier et al., 2010). Either can also cause corpus
callosum hypoplasia/agenesis and basal ganglia malformations. These mutations result
in amino acid substitutions that alter heterodimer formation and incorporation into
growing MTs, as well as MT dynamics and motor protein transport (Minoura et al., 2016; Niwa et al., 2013; Ti et al.,
2016; Tischfield et al., 2010;
Tischfield and Engle, 2010), and thus the
phenotypes could reflect loss of function, gain of function, or altered TUBB3
function.To determine TUBB3’s role in the nervous system, we generated and
studied Tubb3 mice.
Remarkably, we find that
Tubb3 mice are
viable and display no apparent neuroanatomical or behavioral defects under normal
conditions or physiological stress. The deletion of Tubb3 leads to
an upregulation of other b-tubulin isoform transcripts during early development,
resulting in equivalent pan-b-tubulin protein levels in
Tubb3 and
wild-type (WT) mice. We find, however, that MTs in
Tubb3 mice are
less dynamic, and this is associated with a reduced growth rate of
Tubb3 dorsal root
ganglion (DRG) axons in vitro. After sciatic nerve crush,
Tubb3 mice
show delayed nerve regeneration, despite comparable upregulation of tubulins, and
this leads to an exacerbated sensory recovery deficit, especially in the skin, where
fibers need to occupy a volume to be functional.Overall, our findings demonstrate that development of the nervous system and
neuronal function does not require this neuronal specific β-tubulin isoform,
but illuminate an important role of the TUBB3 isotype in MT dynamics and timely and
adequate peripheral axon regeneration.
RESULTS
Tubb3 Mice Have No Apparent
Neuroanatomical or Behavioral Defects
To formally demonstrate if TUBB3 is necessary for neuronal
structureandfunction,
wegeneratedTubb3
micebyflanking the isoform-specific exon 4, which represents more than 80% of
the Tubb3 gene, with flox sequences and crossed these animals
with germline Ella-Cre-driver mice. In the resultant
Tubb3
mice, TUBB3 proteinwas undetectable by western blot and immunostaining in both
embryonic and adult brains (Figures 1A and
S1A). Remarkably,
Tubb3 mice
were born with normal Mendelian ratios; were viable; and had normal size,
weight, and appearance (Figure 1B).
Furthermore, while Tubb3
mice have aberrant CNS and cranial nerve axon guidance (Tischfield et al., 2010) and small hairpin RNA
(shRNA) inhibition of TUBB3 expression causes a cortical neuronal migration
delay (Saillour et al., 2014), the
general histology of adult
Tubb3 mice
was comparable to WT littermates, including the anterior commissure (AC), corpus
callosum (CC), basal ganglia, hippocampus, cerebellum, cortex, and hippocampal
interneurons (Figures 1C, S1B, and S1C). Cortical
cytoarchitecture and lamination at P2 also appeared normal (Figure 1D). To further assess structural anatomy and
CNS white matter organization, we used magnetic resonance (MRI) and diffusion
tensor imaging (DTI) (Pajevic and Pierpaoli,
2000) and detected no defects in adult
Tubb3
brains (Figures 1E, S1D, and S1E). Similarly, cranial
and spinal nerve anatomy of
Tubb3 mice
assessed at embryonic day (E) 11.5 was indistinguishable from that of wild-type
embryos (Figure 1F). Finally, sciatic nerve
anatomy of adult
Tubb3 mice
also appeared normal, with identical size distribution of myelinated fibers
(Figures 1G and S1F), normal organization of MTs
with the expected 25-nm ring structure, and presence of various organelles
including mitochondria and vesicles, suggesting normal axonal transport (Figures
1H and S1G–S1P). In support of
this, quantification of the amounts of conventional kinesin heavy chain (KHC),
Kif21a, and dynein intermediate chain (DIC) molecular motors in sciatic nerve
lysates showed no difference between
Tubb3 and
wild-type mice (Figure 1I).
Figure 1.
Tubb3 Mice Are
Viable with No Major Anatomical Abnormalities
(A) Genetic construct to produce Tubb3 knockout mice. Mice were crossed
with Ella-cre mice. Bottom: detection of TUBB3 in brain of E14.5 wild-type,
Tubb3, and
Tubb3 mice by
western blot and quantification (N = 9).
(B) Left: wild-type and
Tubb3
littermates at 14 months of age. Middle: Mendelian birth ratio in WT (N = 14),
Tubb3 (N = 26), and
Tubb3 mice (N
= 15). Right: weight gain of same mice at 3 months of age.
(C) Adult wild-type and
Tubb3 mice
brains stained with Luxol fast blue for myelin and Nissl counterstain. Coronal
sections at the level of the anterior commissure (left) and hippocampus
(middle), and sagittal sections of cerebellum (right) reveal no detectable
abnormalities in architecture of corpus callosum (CC), anterior commissure (AC),
cortex (CX), striatum (St), hippocampus (Hi), corticospinal tract (CT), lateral
ventricle (LV), and cerebellum in
Tubb3 mice
compared to wild-type. Absence of the wild-type optic nerve at the level of the
AC resulted from detachment during processing. Scale bars, 400 (left and middle)
and 100 mm (right). N = 5.
(D) Cortical layers in wild-type (top, N = 5) and
Tubb3
(bottom, N = 4) P2 mice. Brain sections stained for Reelin (layer I), Cux-1
(layers II–IV), Ctip2 (layer V), and Trb1 (layer VI).
(E) Directionally encoded color maps from diffusion tensor imaging of
adult wild-type (top) and
Tubb3
(bottom) mice to examine white matter tracts. A group template was generated for
each strain and compared to identify potential anatomical abnormalities in the
mutant template. Side-by-side slice views in each of the orthogonal orientations
are shown at the same level in both the wild-type and
Tubb3
templates. Red, left-right; green, dorsal-ventral; and blue, rostralcaudal. CG,
cingulum; PF, pontine fibers; OT, optic tract; EC, external capsule; FI,
fimbria; for other abbreviations refer to (C). N = 4+/+,
3–/–.
(F) Anatomy of cranial and spinal nerves stained with NF-M in E11.5
whole-mount embryos of wild-type and
Tubb3
mice. I–XI: corresponding cranial nerves. N = 6 for each genotype.
(G) Top: representative bright-field cross-sectional images of sciatic
nerve from wild-type and
Tubb3 mice
stained with toluidine blue. Scale bar, 100 mm. Bottom: distributions of
myelinated fibers of different diameters in wild-type and
Tubb3
mice. N = 3.
(H) Ultrastructure of myelinated large, medium, and small diameter
fibers in cross-sectional images of adult wild-type and
Tubb3
sciatic nerves. 49,0003. Inset: magnification highlights cytoskeletal MTs and
neurofilaments. N = 3. Scale bar, 100 nm.
(I) Top: representative western blot and quantification of motor protein
levels in sciatic nerve tissue lysates of adult wild-type and
Tubb3 mice.
Bottom: quantification (n = 3).
See also Figure
S1.
Behaviorally,
Tubb3 mice
displayed no obvious defects when assessed with SHIRPA (Table S1), and daily locomotor
activity, sleep-wake patterns and sleep architecture were indistinguishable from
wild-type littermates (Figures 2A, 2B, S2A, and S2B). General sensory
function and motor skills, including olfactory discrimination, visual acuity,
thermal and tactile sensitivities, grip strength, and beam-walking assays were
also comparable to those of wild-type mice (Figures 2C–2F). While a subset of human
TUBB3 mutations causes a progressive polyneuropathy with
onset between 5–25 years (Chew et al.,
2013; Tischfield et al.,
2010), 6-month-old
Tubb3 mice
had no signs of degeneration and had normal electromyographic conduction
velocities and amplitudes (Figure 2G).
Similarly, responses to innocuous and noxious stimuli were unaltered in mice
tested at 6, 9, and 12 months (Figures S2C–S2E), suggesting normal maintenance of MTs along
PNS nerves despite the absence of TUBB3.
Figure 2.
Tubb3 Mice Have
No Behavioral Defects
(A) Actimetry of wild-type and Tubb3/ mice over a 4-day
period (N = 6 or 6+/+, 6−/−).
(B) Wake, non-rapid eye movement (NREM), and rapid eye movement (REM)
sleep amount expressed as percentage of the recording time in wild-type and
Tubb3 mice (N
= 4+/+, 4−/−).
(C) Olfactory discrimination (left) measured as seconds to nose touch
with bacon-flavored softie. Visual acuity (right) assessed by eye tracking
assay. (Olfaction: N = 8+/+, 8−/−; visual
acuity: N = 10+/+, 10−/−).
(D) Number of brisk withdrawals out of 10 stimulations at various
pressures applied onto the plantar surface of the hindpaw (left) or in the
pinprick test (right) (N = 10+/+,
16−/−).
(E) Latency of withdrawal to contact heat at 49, 52 and 55C (left) and
to a radiant heat source (middle). Time spent licking/flinching in the acetone
test (right) (N = 10+/+, 16−/−).
(F) Balance beam assay for number of steps (columns 1 and 3) and slips
(columns 2 and 4) (N = 10+/+, 13−/−).
(G) Representative compound muscle action potential (CMAP) recordings
from intraplantar muscles evoked by sciatic nerve stimulation in wild-type and
Tubb3 mice and
quantification of CMAP intensity and velocity (N = 6+/+,
6−/−).
(H) Distance traveled in the visible, hidden and reversal phases of the
water Morris maze assay (N = 8+/+, 13−/−).
Inset: representative heatmap of the time spent during the hidden phase.
(I) Heatmap representation of time spent in closed/open arms in the
elevated plus maze assay and quantification (s) (N = 16+/+,
17−/−).
(J) Representative traces of the time course of SWA (slow wave activity;
spectral electroencephalogram (EEG) power in the 0.5- to 4.0-Hz range) during
the first2.5 h of sleep opportunity in wild-type (top) and Tubb3/
(bottom) mice. Right: NREMS SWA computed over 4 hr (11:00–15:00)
expressed as a percentage of the 24-hr baseline mean (N = 4+/+,
4−/−).
(K) Time spent licking/flinching the paw after intraplantar injection
of formalin (1%) (N = 6+/+, 6−/−).
Error bars indicate SEM. See also Figure S2.
Next, we asked whether lack of TUBB3 impaired the ability of mice to
respond to physiological challenges. We tested anxietyrelated behaviors in the
elevated plus-maze, learning ability in the Morris water navigation assay,
response to novelty in the novel object assay, homeostatic sleep rebound caused
by sleep deprivation, and response to a sustained nociceptive input caused by
intraplantar injection of formalin and, for each, the
Tubb3 mice
remained indistinguishable from their wild-type littermates (Figures 2H–2K and S2F).Thus, despite comprehensive examination, we found that mice lacking the
neuronal-specific β-tubulin isoform TUBB3 do not display any major
neuroanatomical or behavioral deficits, even under physiological stress.
Tubb3 Mice
Upregulate Other β-Tubulin Isoforms’ Transcripts and Have
Indistinguishable Total β-Tubulin Protein Levels
We measured pan-b-tubulin protein levels in embryonic and adult
Tubb3 mice and
found them to be equivalent to wildtype littermates in both brain and sciatic
nerve (Figure 3A), indicating a secondary
compensation that has already occurred by E14 (Figure S3A). Immunoprecipitation
with anti-TUBB3 antibody acutely depleted TUBB3 and reduced pan-β-tubulin
protein levels by ~30% in both brain and sciatic nerve of adult wild-type mice,
whereas these levels were unchanged in
Tubb3
mice, confirming compensation by other tubulin isoforms (Figure 3B). This proportion of TUBB3 relative to
pan-β-tubulin protein levels was consistent with the relative proportion
of transcript levels assessed by qPCR (Figure S3B) (Jiang and Oblinger, 1992). To determine which
b-tubulin isoforms increased transcriptional activity in absence of TUBB3, we
assessed the relative proportion of each isoform by qPCR in adult
Tubb3 mice and
found a ~10%–20% increase in transcript level for most β-tubulin
isoforms compared to wild-type (Figure 3C),
indicating a general rather than an isoform-specific compensation.
Figure 3.
Tubb3 Mice
Compensate to Have Normal Pan-tubulin Levels
(A) Representative western blot (left) and quantification (right) of
tubulin protein levels in adult brain (top) and sciatic nerve (bottom) tissue
lysates (n = 3+/+, 3−/−). (B) Left:
schematic of TUBB3 depletion experiment. TUBB3 was immunoprecipitated away from
adult brain and sciatic nerve (DRG/SN) tissues lysates, with antibIII tubulin
antibody to determine the relative amount of TUBB3 compared to total
pan-b-tubulins. Middle: representative western blots from brain (top) and
sciatic nerve (bottom). Right: quantifications (n = 3+/+,
3−/−).
(B) Relative proportion of different b-tubulin isoform transcript
levels in the adult brain (top) and DRG (bottom) of
Tubb3 mice
compared to wild-type animals assessed by quantitative qPCR (n =
6+/+, 6−/−).
(C) Left: Schematic of MT polymerization experiment. Middle:
representative western blots and quantification of MT polymerization using adult
brain (top) andsciatic nerve (bottom) tissue lysates (n = 3+/+,
3−/−).
(D) Representative western blot (left) and quantification (right) of
tubulin post-translational modifications in adult brain (top) and sciatic nerve
(bottom) tissue lysates (n = 3+/+, 3/).
Error bars indicate SEM. See also Figure S3.
Together, these data show that deleting the Tubb3 gene
leads to compensation by other β-tubulin isoforms during development and
adulthood, which results in normal levels of total tubulins and absence of any
major neurological defects under basal and challenging conditions.Next, we examined MT polymerization and post-translational
modifications. Tubulin from lysates of adult wild-type and
Tubb3 brain
and sciatic nerve polymerize into MTs equally well (Figure 3D). MTs of adult
Tubb3
mice, however, displayed higher levels of several markers associated with
increased stability: MTs in the brain were more polyglutamylated and acetylated,
whereas MTs in the sciatic nerve were more polyglutamylated and detyrosinated,
with higher levels of delta-2-modified tubulin (Figure 3E).
TUBB3 Is Critical for Growth Cone Function
MTs undergo periods of growth (polymerization) and shrinkage
(catastrophe), termed dynamic instability, and the presence of markers of
increased stability in MTs from
Tubb3 mice
suggested that dynamics were potentially impaired (Rochlin et al., 1996; Tanaka et al., 1995). To formally assess this, we adapted an
embryonic spot culture protocol (Cho et al.,
2015) to adult DRG neurons. We overexpressed the GFP-fused tip
protein EB3, which specifically binds to the plus end of a growing MT and tracks
its growth, detaching when the MT pauses or undergoes catastrophe (Figures 4A and4B). We acquired 5-min live-imaging recordings of infected wild-type and
Tubb3 adult
DRG growth cones to detect individual EB3-GFP growth tracks and quantified three
major parameters of MT dynamics (Figure
4B). EB3-GFP plus-end velocity, reflecting the speed of MT
polymerization, was decreased by 7% (wildtype vs.
Tubb3 =
15.22 ± 0.43 vs.13.95 ± 0.44 μm/min). EB3-GFP plus-end
lifetime, reflecting the duration in seconds of MT polymerization prior to pause
or catastrophe, was increased by 14% (wild-type vs. Tubb3/ = 9.58
± 0.31 vs. 10.84 ± 0.30 s). By contrast, EB3-GFP plus-end
displacement, reflecting the distance the MT grows prior to pause or catastrophe
(Stout et al., 2014), was not changed
(wild-type vs.
Tubb3 = 2.06
± 0.05 vs. 2.12 ± 0.05 mm) (Figure
4C). These data demonstrate, in a cell-based assay, that DRG
neurons’ growth cones lacking TUBB3 have decreased MT dynamics,
consistent with previous reports using cell-free assays (Pamula et al., 2016; Panda et al., 1994; Vemu et al.,
2017).
Figure 4.
TUBB3 Is Critical for Growth Cone Function
(A) Representative image of EB3-GFP expression in a spot-cultured adult
wild-type DRG growth cone on DIV6, infected by pAAV-EB3-GFP on DIV1. EB3-GFP
specifically labels the plus ends of growing MTs shown as comets (green); growth
cone genetically labeled with vGlut2-Tdtomato (red). Scale bar, 20 μm.
(B) Left: representative frame from a 5-min duration (2-s interval) time-lapse
live-cell imaging of EB3-GFP in spot cultured DRG growth cone from adult
wild-type mice on DIV6 using a total internal reflection fluorescence (TIRF)
microscope with 100x TIRF lens. Right: EB3-GFP tracking (red lines) over 5min
recording using PlusTipTracker software. Scale bar, 20 μm.
(B) Quantifications of (B). Growth cone MT growth velocity (left),
lifetime (middle), and length (right) in wild-type versus
Tubb3
DRGs. Analysis of 100–200 comets per growth cone and 10 growth cones per
experiment. n = 3 independent experiments. *p < 0.05; **p < 0.01.
ns, not significant by unpaired, two-tailed Student’s t test between
wild-type and
Tubb3mice for
each condition. Scale bar, 20 μm.
(C) Left: representative images of last frame of a 1-hr duration
(interval, 1 min) time-lapse live-cell imaging of growth cones of spot cultured
vGlut2-Tdtomatopositive DRG neurons from wild-type and
Tubb3 mice
on DIV6 (left). Colored lines track growth cone trajectories over the 1-hr
recording. Scale bar, 100 mm. Middle: quantification of growth cone area. Right:
percentage of growth cones retracted (R), stationary (S), and forward moving
(M). n = 6 (three pairs of wild-type and Tubb3/ littermates, two spot
cultures per mouse, ~25 growth cones analyzed per culture).
(D) (E and F) Quantification (left) and histograms (right) of the
displacement (E) and distance (F) of forward moving wild-type and
Tubb3 growth
cones from (D).
**p < 0.01 by unpaired, two-tailed Student’s t test
between wild-type and
Tubb3 mice
for each condition. Error bars indicate SEM. Scale bar, 100 μm.
Next, we found that
Tubb3 DRG
growth cones were significantly larger than wild-type, consistent with slower
growth, and so we tracked
Tubb3 DRG
growth cones and analyzed their trajectories over 60 min (Figure 4D). Comparing the relative positions of a
given growth cone at the start and end of the recording, we placed it into one
of three categories: retracted, in which the final position was more than one
growth cone diameter behind its starting position; stationary, in which the
final position was within one growth cone diameter of its starting position; or
moving forward, in which the final position was more than one growth cone
diameter ahead of its starting position (Cheng et
al., 2014) (Figure 4D). While
both genotypes had a similar percentage of retracted growth cones, forward
moving Tubb3 DRG
neurons had a significant reduction in total displacement (the linear distance
between the location of the growth cone at the start and end of the recording),
and a mild reduction in overall distance traveled (the entire trajectory of the
growth cone over the duration of the recording), indicating a
“wandering-like” behavior that resulted in a net reduction of
forward movement compared to wild-type (Figures
4D–4F). Together, these results demonstrate that TUBB3 is
necessary for MT dynamics and appropriate adult DRG growth cone behavior.
Lack of TUBB3 Causes a Linear Growth Defect in DRG Axons
To test if altered MT dynamics are critical for neurite outgrowth, we
monitored the same population of adult DRG neurons in the spot culture over 8
days and found that absence of TUBB3 caused a consistent growth defect, which
led to a cumulative 22% delay in neurite outgrowth (Figures 5A and S4). This growth defect was not due
to an abnormal response to environmental cues, as indicated by measuring neurite
outgrowth of both naive (DRG neurons from uninjured mice) and pre-conditioned
(DRG neurons pre-injured by sciatic nerve crush 5 days before culture) neurons
in both permissive (PDL) and non-permissive (CSPG) milieus. While
pre-conditioned
Tubb3 DRG
neurons had significantly increased axonal growth on both substrates compared to
naive Tubb3 DRG
neurons, they consistently displayed reduced growth compared to wild-type DRG
neurons (Figure 5B). This indicates that
Tubb3 neurons
can produce a similar pre-conditioning response to their wild-type counterparts
regardless of their environment (wild-type PDL: +46%;
Tubb3 PDL:
+35%; wild-type CSPG: +59%;
Tubb3
CSPG: +40%) and suggests that their growth defect is intrinsic. Finally,
quantile-quantile plot (QQ plot) analysis of
Tubb3 and
wildtype dissociated DRG neurons on laminin for 24 hr also revealed a linear 22%
defect in Tubb3/ neurites compared to wild-type, confirming that
every DRG Tubb3
sensory neuron has the same growth defect (Figure
5C).
Figure 5.
Axonal Growth Is Linear and Reduced by 20% in Absence of TUBB3
(A) Left: high magnification of neurite outgrowth in
Tubb3 versus
wild-type spot cultures at DIV4 and DIV8. Scale bar, 50 mm. Right:
quantification of Sholl analysis. The black and green lines represent WT and
Tubb3 growth,
respectively. n = 8. Scale bar, 50 μm.
(B) Quantifications of growth of naive versus pre-conditioned wild-type
and Tubb3 DRG
neurons on poly-D-lysine neutral substrate and on CSPG inhibitory substrate. *p
< 0.05. One-way ANOVA, post hoc Sidak’s. n = 12 wells per
condition.
(C) Quantile-quantile curve of
Tubb3
neurite growth normalized to wild-type samples. Green dots represent neurite
growth for each
Tubb3
Tubb3 DRG neuron
calculated by interpolation. Dashed black line represents WT growth. Dashed-red
line is the linear regression of Tubb3/ neurite outgrowth. n = 486
neurons.
Error bars indicate SEM. See also Figure S4.
Tubb3 Mice Have
Delayed Recovery after Sciatic Nerve Crush
Sciatic nerve crush in wild-type mice caused a progressive upregulation
of Tubb3 mRNA in the DRG, consistent with previous reports
(Hoffman and Luduena, 1996; Moskowitz and Oblinger, 1995; Moskowitz et al., 1993), which peaked at
day 15 postinjury (Figure 6A); we also
found Tubb2a, Tubb2b and
Tubb6 to be upregulated, but with an earlier peak induction
(d7) (Figure S5A).
Transcriptional upregulation of non-Tubb3 β-tubulin
isoforms in DRGs of
Tubb3 mice
7 days after sciatic nerve crush was indistinguishable from wild-type mice
(Figures 6B and S5B), suggesting the compensatory
transcriptional upregulation of other b-tubulin isoforms was maintained during
the axonal injury genetic response. In support of this, tubulin extracted from
Tubb3 sciatic
nerve distal to the injury site 7 days after crush did not show any differences
in the amount of tubulin or its ability to polymerize compared to wild-type
(Figures 6C and 6D). In the distal
nerve segments from wild-type and
Tubb3
mice, we found the same amount of tyrosinated MTs (Figure 6E), likely reflecting the presence of newly synthesized MTs
in regenerating axons (Song et al.,
2015). Altogether, these data show that injured peripheral axons can
reform MTs even in the absence of TUBB3.
Figure 6.
Lack of TUBB3 Delays Peripheral Nerve Regeneration
(A) qPCR time course of Tubb3 fold increase in DRG after sciatic nerve
crush (n = 9 per time point). *p < 0.05. One-way ANOVA, post hoc
Dunnett’s.
(B) Fold ratio of the upregulation of transcript levels of different
β-tubulin isoforms in DRG after sciatic nerve crush (n = 6+/+,
6−/−).
(C) Representative western blot (top) and quantification (bottom)
ofα- and pan-β-tubulin levels from tissue lysates of segments of
the sciatic nerve proximal and distal to the crush site 7 days after crush (n =
3+/+, 3−/−).
(D) Representative western blot (top) and quantification (bottom) of MT
polymerization using proximal and distal segments of the sciatic nerve tissue
lysates7 days after crush (n = 3+/+,
3−/−).
(E) Representative western blot (top) and quantification (bottom) of
levels of polyglutamylated and tyronisated tubulin in proximal and distal
segments of thesciatic nerve tissue lysates 7 days after crush (n =
3+/+, 3−/−).
(E) Pinprick assay scores over 24 days following sciatic nerve crush (N
= 21+/+, 14−/−). *p < 0.05. Two-way
RM ANOVA, post hoc Sidak’s.
(F) Brush assay scores over 24 days following sciatic nerve crush (N =
9+/+, 9−/−). *p < 0.05. Two-way
RM ANOVA, post hoc Sidak’s (n = 9).
(G) Toes spread in % of pre-injury after sciatic nerve crush (N =
9+/+, 9−/−). *p < 0.05. Two-way
RM ANOVA, post hoc Sidak’s.
(I–M) Drawing representing the skin region harvested and
processed for immunostaining. Mice were tested for pinprick, given a score, and
then the skin corresponding to the sural territory was harvested, fixed,
unfolded, and processed for whole-mount staining against NF200 (I). Imaging was
carried out from the dermis to the epidermis at 12 (J), 15 (K), 21 (L), and 30
(M) days after sciatic nerve crush. Pinprick score from each animal sampled is
indicated in top-right corner of each picture. For score 3, the yellow star
indicates the position of the last positive behavioral response. Scale bar, 500
μm.
Error bars indicate SEM. See also Figure S5.
Recovery of sensory function following crush was determined by assessing
the ability of the injured mouse to respond to pinprick or brush stimulus at
different locations on the hindpaw over time (Ma
et al., 2011). For both modalities,
Tubb3 mice
displayed a significant delay, with full recovery at day 22 postinjury, compared
to day 15 in wild-type littermates (Figures 6F and6G). Recovery of motor
function was determined by return of toe spreading in walking
Tubb3 mice,
and we again found recovery in
Tubb3 mice
to be delayed compared to wild-type littermates 14 and 17 days after injury
(Figure 6H). At day 21, toe spreading
and the compound muscle action potentials of intraplantar muscles were similar
between wild-type and
Tubb3
mice, indicating full recovery (Figures 6H
and S5C).We confirmed that the delay in functional recovery was due to a growth
defect by imaging the maximum-projection signal from whole-mount hindpaw skin
immunostained for NF200, a marker of myelinated sensory fibers, in mice at
different days after injury (Figure 6I). We
found a strong correlation between the score obtained in the pinprick assay and
the presence of fibers in the skin (Figures
6J–6M). Twelve days after sciatic nerve crush, wild-type mice
had an average score of 3, corresponding to the detection of the pin applied up
to the first plantar bump, an area where we could detect NF200+ fibers, while
Tubb3 mice had
a score of 0 and skin samples revealed no detectable fibers (Figure 6J). By day 15 after crush, wild-type mice had
fully recovered pinprick sensation, while
Tubb3 mice
had only reached a score of 3, and their innervation profile was similar to that
of wild-type mice 3 days earlier (12 days after crush; Figure 6K). At later time points, both wild-type and
Tubb3/ mice had fully recovered pinprick responsiveness and their
hindpaw skin was positive for NF200+ fibers, although the degree of innervation
was less dense in
Tubb3 samples
both 21 and 30 days after crush (Figures 6L and
6M). These results indicate that
Tubb3
axons regenerate more slowly than their wild-type counterparts despite identical
production of total b-tubulin (see Figure
3) and that the regenerating fibers are functional immediately upon
reaching their target tissues.
Functional Recovery Requires Reinnervation of a Volume, and This Exacerbates
Delay in Tubb3
Mice
Because pinprick score correlates with the presence of fibers in the
hindpaw skin, we transformed our score metric into the distance covered by
regenerating fibers from the heel territory (Figure 7A), and this revealed near-perfect linear profiles for
functional pinprick recovery after nerve crush in both wild-type and
Tubb3 mice
(Figure 7B). Moreover, in wild-type
mice, the intersection of the linear regression of pinprick functional recovery
on the y axis predicted the actual distance between the site of injury and the
heel territory (25.305 mm) (Figure 7B),
which we confirmed in vivo by dissection (25.4 ± 0.1 mm) (Figure 7C). Using the slope obtained from the
wild-type pinprick recovery curve (2.58) (Figure
7B), we determined that thinly myelinated, pinprick-responsive
sensory fibers grew at a rate of 2.58 mm per day after nerve injury in wild-type
animals, much faster than previously reported (Buchthal and Kühl, 1979). Thus, the 22% decrease in speed of
DRG neurite outgrowth found in
Tubb3 mice
in vitro would be predicted to correspond to an axon growth
rate of 2 mm/day in vivo. If correct, regenerating
Tubb3 DRG
axons should reach the heel territory 12 days after sciatic nerve crush, 2 days
later than in wild-type mice, which is precisely what we found experimentally
using behavioral and immunological approaches (black and green arrowheads in
Figure 7B; also see Figure 6). By contrast, while still displaying a
linear profile, once sensory fibers reached the heel it took an additional 12
days to functionally reinnervate the entire 13.6-mm length of the hindpaw in
Tubb3 mice,
twice as long as the predicted 6 days based on a 22% decrease in growth rate
(Figure 7B). We hypothesized that this
additional delay may arise because, for functional recovery (transduction of the
mechanical stimulus, i.e., high pressure on the skin), regenerating fibers must
reoccupy their target space with the correct pattern/density within the
skin.
Figure 7.
Functional Recovery Requires Reinnervation of a Volume that Exacerbates Delay
in Tubb3/ Mice
(A) Functional recovery of pinprick response in wild-type and
Tubb3 mice
expressed as a distance from heel of regenerated pinprick-responsive fibers at
various days after sciatic nerve crush. *p < 0.05. Two-way RM ANOVA, post
hoc Sidak’s. (N = 21+/+, 14−/−).
(B) Linear regression of functional recovery of pinprick responses. In
wild-type mice, this predicts the site of injury (intersection point on the y
axis, black dot) and the rate of regeneration (2.58 mm per day). In
Tubb3 mice,
this linear regression cannot predict the site of injury (red dot). Blue dot
represents the observed distance to the site of injury in both wild-type and
Tubb3
mice.
(C) Confirmation of the distance between the site of injury in the
sciatic nerve crush model and the beginning of the heel territory, where
pinprick testing begins(N = 9+/+, 9−/−).
(D) Regenerating nerves stained with NF-H in whole-mount hindpaw skin
of wild-type and
Tubb3 mice
after sciatic nerve crush (pinprick score 5 + 7 days). The stained fibers are
pseudo-colored based on their depth within the skin tissue. Scale bar, 100
(left) and 25 mm (right), (n = 3+/+, 3−/−
per time point).
(E) Model for functional recovery delay in
Tubb3 mice
compared to wild-type mice. Filled circles represent experimental points while
the curves are extrapolated from a linear growth and a 22% delay in
Tubb3/ mice. Predicted recovery of a 20 to 25% defect in growth
compared to wild-type in 1D (yellow; length on a simple plane), 2D (pink; growth
in an area), and 3D (green; growth in a volume). Dotted red line indicates a 22%
defect in growth compared to wild-type in 3D; this is the same defect we
observed in vitro.
(F) Consequences of a 22% slower regeneration rate on growth within the
sciatic nerve and on functional recovery assessed by the pinprick test. Fibers
need to occupy a volume for functional recovery within the hindpaw, which
exacerbates the delay in
Tubb3
mice.
(G) Time course of mechanical sensitivity for pinprick and 2-g, and 1-g
pressures in wild-type and
Tubb3mice
after peripheral nerve crush (N = 9+/+;
10−/− for vF, N = 8+/+;
8−/− for pinprick). The skin area tested is
indicated by the red-dotted circle. *p < 0.05. Two-way RM ANOVA, post hoc
Sidak’s.
Error bars indicate SEM.
To better understand the topography of regenerating fibers within the
skin of the hindpaws of wild-type and
Tubb3
mice, we pseudo-colored each z stack layer in NF200-stained whole-mount hindpaws
from mice 7 days after they have reached full pinprick recovery (score 5 + 7
days). We could distinguish in situ the main nerve branches
running deeper in the skin (orange), as well as the smaller nerve branches which
arose from specific ramification points and extended into the most superficial
layer of the skin (green; Figure 7D, left).
We found that regenerating axons appeared to branch from the larger nerve and
directly extend to the superficial layer of the skin prior to more extensively
branching to cover the skin’s surface (Figure 7D, right). In
Tubb3
mice, these most distal superficial branches were less abundant than those in
wild-type mice with the same pinprick score, consistent with a slower growth
rate (Figure 7D).These results imply that the delay in functional recovery of
Tubb3 mice
within their paw may arise because their linear growth defect is amplified to
reflect the volume of the skin. This is supported by the mathematical analysis
of the relationship between the slopes of wild-type and
Tubb3
functional recoveries, where the slope for
Tubb3 mice
is 1.22, compared with 2.58 in wild-type mice. Strikingly, the ratio of these
slopes is 0.47, and, which means that the relationship between the
slopes for the functional recovery of
Tubb3 and
wild-type mice is a linear defect of 22%, the same percent delay we found in in
vitro assays of neurite outgrowth (see QQplot and spot cultures in Figures 3 and 4)
and in in vivo growth from injury site to heel (see Figure 7A and 7B), but is now occurring within the
volume of the paw. To test these findings, we ran predictive recovery curves to
explain the defect we observed within the paws of
Tubb3 mice compared to
wild-type, and confirmed that a linear 22% growth defect to fill up a volume
best fit our experimental results (Figure
7E).Altogether, these data show how a consistent 22% reduction in linear
axonal growth rate in
Tubb3 mice
translates into a reduced daily nerve regeneration rate of 2 mm/d. This causes a
moderate delay in the time it takes for regenerating fibers to grow from the
crush site to reach the heel. The effect of the reduced growth rate is
exacerbated, however, once the axons reach the heel and must reinnervate the
full volume of the hindpaw skin to allow for functional recovery. Thus, while
sensory recovery is still linear, once axons reach the heel the slope of the
functional recovery is strongly reduced in
Tubb3 mice
(Figure 7F). These data demonstrate
that determining linear nerve growth (such as the distance regenerating axons
have grown) can underestimate the actual defect in functional outcome, such as
the ability to detect stimuli. Finally, this defect to fully reoccupy the skin
in Tubb3 mice
after sciatic nerve crush translates into a more prominent functional recovery
deficit for milder punctate mechanical stimulus intensities (Figure 7G), because encoding of mild touch stimuli
requires a greater amount of fine terminal innervation than does pinch
stimuli.
DISCUSSION
The yeast genome encodes two α- and one β-tubulin isotype,
whereas mouse and human genomes encode at least eight α-and eight
β-tubulin isotypes (Luduena and Banerjee,
2008; Redeker, 2010). This
increasing isotype diversity with species complexity, coupled with differential
tissue expression during development, led to the hypothesis that tubulin genes
evolved to allow functionally distinct isotypes to combine in various ratios to
diversify MT function within and between cell types (Cleveland, 1987; Fulton and Simpson,
1976; Ludueña, 1993; Sullivan and Cleveland, 1986). While we
estimate TUBB3 to represent ~30% of total tubulins in wild-type animals, we did not
identify any structural or functional defects in naive
Tubb3 adult
mice despite using a wide array of anatomical and neurological tools (Crawley, 2007). Our results strongly suggest
that the compensatory production of pan-β-tubulins in
Tubb3 mice is
sufficient for neurons to produce MTs that allow them to migrate to their correct
cortical layer, develop axons that reach their expected targets, and produce
functional tracks for motor proteins. These data indicate, therefore, that TUBB3 is
not essential for mouse nervous system development and function.Our findings, in conjunction with previous data showing that mice harboring
a human TUBB3 missense mutation within the Tubb3
gene have cranial axon misguidance and corpus callosum and anterior commissure
hypoplasia (Tischfield et al., 2010), suggest
that the human TUBB3 tubulinopathies result from incorporation of
mutant heterodimers that alter or disrupt specific MT functions rather than from a
general loss of TUBB3 protein. By contrast, we found that the absence of TUBB3
causes a severe nerve regeneration delay after sciatic nerve crush. While the
absence of TUBB3 can be compensated at the structural level to maintain the total
pan-β-tubulin level in neurons, during the nerve regeneration process this
substitution by other b-tubulin isoforms cannot completely replace TUBB3-specific
function. Moreover,
Tubb3 DRG neurons
respond similarly to their wild-type counterparts when exposed to various permissive
or non-permissive growth milieus in vitro, and display the
stereotyped enhanced regeneration rate and acquire the ability to grow on myelin
when subjected to a pre-conditioning injury (Neumann
and Woolf, 1999). These findings support an intrinsic growth defect of
Tubb3 DRG neurons
rather than a defect in their ability to detect or respond to external factors in
the environment and are consistent with the absence of neuronal migration or axonal
guidance defects in
Tubb3 mice. This
linear reduction in the growth rate of all DRG sensory neurons following injury
indicates that the replacement of TUBB3 by other tubulin isoforms cannot overcome
the requirement for this β-tubulin isoform in peripheral nerve regeneration,
supporting a context-dependent isotype-specific TUBB3 function.Current strategies to enhance nerve regeneration seek to optimize the
cellular response to axotomy by promoting the production of a limited number of
regeneration-associated proteins (Chandran et al.,
2016; Ma et al., 2011), while
inhibiting deleterious elements, such as cell death or intracellular pathways, that
are activated by growth inhibitory substrates (Belin
et al., 2015; Nawabi et al., 2015;
Sun et al., 2011). Technically, these
strategies rely on the postulate that overexpression or inhibition of key factors
identified during endogenous regeneration will be sufficient to drive faster axonal
growth. In most experiments using this approach, the effects were much stronger
in vitro than in vivo for PNS regeneration, leading to limited
functional outcomes (Chandran et al., 2016;
Ma et al., 2011; Seijffers et al., 2007).Our results point to an alteration in MT dynamics in growth cones as the
main cause for slower PNS regeneration in
Tubb3 mice,
rather than a defect in the genetic response to axotomy or insufficient total
tubulin levels. Although recent reports indicate that increasing MT stability in CNS
neurons promotes regeneration (Hellal et al.,
2011; Mikhaylova et al., 2015;
Ruschel et al., 2015), our results show
that increased MT stability is associated with impaired peripheral nerve
regeneration. The increase in CNS axon regeneration after spinal cord injury induced
by very low doses of taxol (a MT stabilizer) more likely reflects removal of
environmental growth barriers (glial scars) rather than enhancement of intrinsic
axonal growth (Hellal et al., 2011). By
contrast, PNS nerve regeneration occurs in a more permissive milieu, and enhanced
intrinsic growth is likely to be the major driving force for axonal regeneration.
Several lines of evidence support the modulation of MT dynamics as a promising
strategy to promote PNS regeneration. Reduced glycogen synthase kinase 3 (GSK3)
activity after nerve injury causes a reduction in phosphorylated MAP1B, which is
required to maintain a pool of dynamic, tyrosinated MT in axons (Barnat et al., 2016; Trivedi et al., 2005). As a result, MT stability increases and axonal
growth decreases (Gobrecht et al., 2016;
Gobrecht et al., 2014). Genetic or
pharmacologic promotion of GSK3 activity reduces MT detyrosination and promotes
functional recovery in mice (Gobrecht et al.,
2016). Similarly, altering the function of tubulin-tyrosine ligase (TTL)
reduces the amount of tyrosinated MTs after injury and severely impedes axonal
growth (Song et al., 2015), possibly by
altering the MT dynamics required for growth cone function. Our study further
highlights the complexity of the intrinsic regulatory processes in neurons that
adjust MT dynamics in a context-dependent manner and are required for optimal and
efficient growth cone elongation and, consequently, timely regeneration. Efforts to
build new therapeutic strategies to promote PNS regeneration will need to determine
the critical factors responsible for setting MT dynamics: MT composition of tubulin
isoforms, post-translational modifications, MT-associated proteins, and their
reciprocal interactions.In clinical settings, sensory recovery, especially for light touch
sensitivity, is very limited, and the reasons for this are not yet understood (Ciaramitaro et al., 2010; Ruijs et al., 2005). Our results show how a subtle, but
constant, growth defect leads to a major functional sensory recovery defect,
particularly for touch stimuli of lighter intensity, and this is likely caused by
the time required to grow through and fully reoccupy the full volume of the skin.
While the periphery is a growth-permissive milieu, the complexity—and
volume—of the skin might prove a greater challenge for PNS regeneration than
previously appreciated because the axonal growth required for functional recovery is
“longer” than expected.
CONTACT FOR REAGENT AND RESOURCE SHARING
Further information and requests for resources and reagents should be
directed to and will be fulfilled by the Lead Contact, Elizabeth C. Engle
(elizabeth.engle@childrens.harvard.edu).
EXPERIMENTAL MODEL AND SUBJECT DETAILS
The following transgenic mouse alleles were used in mixed-background mice:
ROSA26::FLPe (JAX:003946), 129S1 (JAX:002448), C57BL/6J(JAX:000664), 129SVE
(Taconic#129S6), E2a-Cre (JAX: 003724), TdTomato (JAX:007914), Vglut2-ires-cre
(JAX:016963), ISLmn-GFP (JAX:017952) mice were originally donated by donated by Dr.
Samuel L. Pfaff. This line is also available from The Jackson Laboratory.Both male and female mice were included in anatomic studies and neuronal
culture experiments. Behavioral experiments were conducted in male mice. All animal
work was approved and performed in compliance with Boston Children’s Hospital
Institutional Animal Care and Use Committee protocols (17–01-3359R).
METHODS DETAILS
Generation of Tubb3 knockout mouse model
Generation of the
Tubb3 mutant mice using a
construct containing loxP sites flanking exon 4 was previously reported (Tischfield and Engle, 2010).
Tubb3 mice on a mixed
129/B6 background were crossed with an oocyte-active Cre line (Ella-Cre) to
remove exon 4, which contains 79.8% of the coding region and all functional
domains of Tubb3.
Tubb3Cre
mice were then crossed with wild-type to generate
Tubb3Cre
mice.
Histological analysis of adult mouse brains
Mice were intracardially perfused with 4% PFA or 10% neutral formalin,
the skull removed, and the brains carefully dissected. Brains were fixed in 4%
PFA or 10% neutral formalin for 24–48 hr and then processed for embedding
in paraffin. Serial sections at 5 mm thickness were collected and mounted on
superfrost-coated slides. Sections were subsequently stained using the Nissl
method with Luxol fast blue. Results were examined and images were acquired by
light microscopy on an Olympus BX51 epifluorescence microscope (Olympus, Center
Valley, Pennsylvania) or Nikon Eclipse-80i transmitted light microscope (Nikon,
Melville, New York) with Spot Xplorer CCD camera and Spot Version 4.6
acquisition software (Diagnostic Instruments, Sterling Heights, Michigan).
Whole mount embryo fluorescent immunohistochemistry
Whole mount embryonic day (E) 11.5 embryos were prepared as previously
described (Huber et al., 2005). Embryos
were fixed overnight in 4% paraformaldehyde, dehydrated through a methanol
series, fixed overnight in 1 part dimethyl sulfoxide: 4 parts methanol, then
rehydrated through a methanol series. They were blocked in a solution of 5% goat
serum and 20% DMSO in PBS for 3 hours, placed in primary antibodies diluted in
blocking solution for five days, washed with blocking solution for 4 hours, then
placed in secondary diluted in blocking solution for 2 days. Mouse
anti-neurofilament primary antibody (1:500; clone 2H3, Developmental Studies
Hybridoma Bank, Iowa City, Iowa) and Alexa Fluor 594 goat anti-mouse secondary
antibody (1:1000; Thermo Fisher Scientific, Carlsbad, California) were used to
stain prepared embryos. Once stained, embryos were dehydrated through a methanol
series and cleared in a solution of 2 parts benzoic acid to 1 part benzyl
benzoate. Cleared samples were mounted on coverslips with the benzoic
acid-benzyl benzoate solution and imaged on a Zeiss LSM 700 series laser
scanning confocal microscope. Images were acquired using Zen Software (Carl
Zeiss MicroImaging GmbH, Göttingen, Germany) and uniformly adjusted for
contrast and brightness using ImageJ software (NIH).
Whole mount hindpaw skin fluorescent immunohistochemistry
Mice were perfused with 4% paraformaldehyde and skin tissue
corresponding to the sural territory (most lateral part of the hindpaw) was
dissected and mounted on a silicone plated surface then kept under gentle
agitation for 3–7 days in 4% paraformaldehyde/ 0.01% azide. Samples were
then incubated with chicken anti-neurofilament primary antibody (AB5539,
Millipore; 1:5000 dilution) in StartingBlock PBS Blocking Buffer (ThermoFisher
Scientific #37538) + 1% Triton X-100 + 0.01% sodium azide for 14 days. After 3
washes in PBS +1% Triton X-100 for 1–2 hours, they were incubated with
goat anti-chicken secondary antibody (Jackson Immunoresearch Laboratories
#703–165-155; 1:500 dilution) in StartingBlock PBS Blocking Buffer + 1%
Triton X-100/0.01% sodium azide with for 7 days. Samples were washed 3x in PBS +
1% Triton X-100 for 1–2 hours and incubated in Vectashield (Vectorlabs,
USA) for several days before imaging by confocal microscopy.
Ex-vivo magnetic resonance imaging (MRI) and diffusion tensor imaging
(DTI)
Perfusion fixed brain specimens from
Tubb3 (n = 4) and
Tubb3 (n = 3)
mice were prepared for MRI and contained in a 10mm NMR tube filled with
Fluorinert (FC-3283 3M, St Paul, MN) during imaging using a 14T vertical bore
microimaging system (Bruker, Bilirica MA). Anatomical images were acquired using
a spin echo multi-slice pulse sequence with TE/TR = 30/3000ms and 100 micron
isotropic spatial dimensions. Diffusion weighted images were acquired with the
same spatial dimensions using a 3D EPI pulse sequence with TE/TR = 53/750ms, nex
= 1 and 2 repetitions having opposite phase encode directions for use with
“blip-up-blipdown” correction of geometric distortions (Irfanoglu et al., 2015). The DWI sampling
scheme was b/#dirs = 250/6,500/6,1500/32 and 3000/32, total time for all MRI and
DTI scans was 15.5 hours per brain.DTI processing was performed offline using TORTOISE3 software for
apparent motion correction, geometric distortion correction and tensor fitting.
The diffusion tensor volumes from individual brains within each group were used
to generate Tubb3 and
Tubb3/ DTI templates by diffeomorphic registration for tensor
accurate alignment of anatomical structures. The resulting template DTI maps
were systematically inspected for gross anatomical differences between
Tubb3 and
Tubb3 groups
with particular attention to the white matter tracts as visualized by
directionally encoded color (DEC) maps (Pajevic
and Pierpaoli, 2000).In addition to qualitative inspection for group differences of the
anatomic images, quantitative morphometric analysis was performed by the tensor
based morphometry (TBM) technique (Ashburner and
Friston, 2000). Following generation of a single template from all
brains in the study using the ANTs affine and diffeomorphic registration tools
(Avants et al., 2008), the Log of the
determinant of the Jacobian of the deformation fields (LogJ maps) was generated
for each brain. LogJ maps were then averaged within each group to provide scaled
values of local volume differences between the template brain and each group,
where positive/negative values indicate increased/decreased local volume of the
group anatomical images compared with the template.
Electron microscopy and morphometric analysis
Adult wild-type and
Tubb3
mutant littermates were perfused with fixation solution (2% paraformaldehyde,
2.5% glutaraldehyde in 0.1 M cacodylate buffer) and sacrificed, and sciatic
nerves were dissected away and collected. Sciatic nerve tissues were postfixed
for 4 hr at RT, and processed for plastic embedding and electron microscopy. For
morphometric analysis, tissue crosssections were stained with toluidine blue.
Bright-field Images were acquired, regions containing cross-sectional myelinated
axons were chosen for analysis, and the internal diameters of axons (not
including the myelin sheath) were measured using “Thermo Scientific HCS
Studio: Cellomics Scan Version 6.60.” Ultra-structural images were
acquired at stated magnifications using a Tecnai G2 Spirit BioTWIN Transmission
Electron Microscope. Results were obtained from three wild-type and three mutant
mice littermates.
Protein extraction and western blotting
Brain or sciatic nerve tissues were dissected from E14 or adult
(2–4 month) mice and homogenized in ice-cold tissue lysate buffer (50mM
Tris.HCL, 150mM NaCl, 1mM EDTA, 1%NP40, pH6.8) supplemented with Halt™
protease inhibitor and phosphatase inhibitor (single-use cocktail 100x, Thermo
Fisher Scientific, Inc, Rockford Illinois). Tissue lysates were clarified by
centrifugation at 14,000 rpm for 15 mins at 4°C, and were denatured in
LDS Sample Buffer (Thermal Fisher Scientific, Carlsbad, California). Lysate
samples were loaded on NuPAGE 4%–12% Bis-Tris gels (Thermo Fisher
Scientific, Carlsbad, California), and subjected to SDS-PAGE electrophoresis.
Proteins were then transferred from gels to nitrocellulose membranes (Thermol
Fisher Scientific, Carlsbad, California) and membranes were blocked with 5%
non-fat-milk in 0.01M PBST (0.1%Tween20) at RT for 1 hr. Membranes were then
incubated for 1–2 hr at RT with primary antibodies diluted in 0.01M PBST
(0.1%Tween20) as follows: mouse anti-α-tubulin clone DM1A (1:10,000,
Sigma, St. Louis, Missouri), rabbit anti-bIII-tubulin (1:15,000, Abcam,
Cambridge, Massachusetts), mouse-anti acetylated tubulin clone 11B-1(1:20,000,
Sigma, St. Louis, Missouri), mouse-anti kinesin heavy chain (KHC) clone H2
(1:3000, EMD Millipore Corporation, Billerica, Massachusetts), rabbit
anti-Kif21a (1:5000, generated by our lab as described (PMID: 20074521),
mouse-anti Dynein intermediate chain (DIC) clone 74.1 (1:1500, EMD Millipore
Corporation, Billerica, Massachusetts), mouse anti-pan β-tubulin clone
AA2 (1: 5000, EMD Millipore Corporation, Billerica, Massachusetts),
rat-anti-tyrosinated tubulin clone YL1/2 (1:12,000, Abcam, Cambridge,
Massachusetts), rabbit antidetyrosinated tubulin (1:2000, EMD Millipore
Corporation, Billerica, Massachusetts), rabbit anti-delta2 tubulin (1:2000, EMD
Millipore Corporation, Billerica, Massachusetts), mouse anti-polyglutamylation
tubulin clone GT335 (1:2000, Adipogen), rabbit anti-GAPDH (1:475, Santa Cruz
Biotechnology, Inc, Santa Cruz, California). Following several washes with PBST,
membranes were incubated with Peroxidase-AffiniPure donkey anti-mouse,
anti-rabbit or anti-rat IgG (H+L) secondary antibodies (1:10,000, Jackson
Immunoresearch, West Grove, Pennsylvania) at RT for 1 hr. Following several
additional washes with PBST, chemiluminescent substrate (Amersham ECL Plus, GE
Healthcare Life Sciences, Pittsburgh, PA) was added, and images were captured
real-time at 10–20 s intervals using a FujiFilm LAS-4000 with CCD camera
(GE Healthcare Life Sciences, Pittsburgh, PA). Protein measurement and
quantification were performed using the “analyze Gels” function of
the ImageJ software (National Institutes of Health).
TUBB3 depletion from tissue lysates by immunoprecipitation with
anti-bIII-tubulin antibody
Adult mouse brains or sciatic nerves were dissected and homogenized in
ice-cold tissue lysate buffer (50mM Tris.HCl, 150mM NaCl, 1Mm EDTA, 1% NP40, pH
6.8) supplemented with Halt™ protease inhibitor and phosphatase inhibitor
(single-use cocktail 100x, Thermo Fisher Scientific, Inc, Rockford, Illinois).
Tissue lysates were clarified by centrifugation at 14,000 rpm for 15 mins at
4°C. 1ml clarified lysate at 0.5mg/ml protein concentration was incubated
with 6~8μg mouse anti-bIII-tubulin (Thermo Fisher Scientific, Inc,
Rockford, Illinois) or normal mouse IgG (Santa Cruz Biotechnology, Inc, Santa
Cruz, California) respectively for 2 hr at 4°C with gentle rotation, then
with 50μl protein-G agarose beads (Invitrogen, Carlsbad, California) for
an additional 6–8hrs.The tissue lysates containing the protein-G agarose
beads were then centrifuged at 500 g for 5 mins at 4C, the supernatants
collected and incubated for a second time with antibody and protein-G as
described above, recentrifuged at 500 g for 5 mins at 4°C and collected.
These final supernatants, depleted of βIII-tubulin, were denatured and
analyzed by SDS-PAGE and western blot as described previously. Protein
measurements and quantifications were performed using the “analyze
Gels” function of the ImageJ software (National Institutes of Health).
Three independent experiments were performed.
Microtubule polymerization and co-sedimentation assay
Brain or sciatic nerve tissues were dissected from E14 or adult
(2–3 months) mice and homogenized in ice-cold BRB80 buffer (80 mM PIPES /
KOH, 1mM EGTA, 1mM MgCl2, pH 6.8) supplemented with Halt™
protease inhibitor and phosphatase inhibitor (single-use cocktail 100x, Thermo
Fisher Scientific, Inc, Rockford, Illinois). Crude tissue lysates were clarified
by centrifugation at 14,000 rpm for 15 mins at 4C, and then the clarified
lysates were centrifuged at 55,000 rpm for 35 mins at 4°C. 400μl
of final supernatants (S1 fraction) at equal protein concentrations (about
1mg/ml) were added at final concentration with 1 mM GTP (Sigma, St. Louis,
Missouri) and 20% glycerol. The mixtures were incubated for 1hr at 37C to allow
tubulin to polymerize into microtubules, and then were centrifuge at 67,000rpm
for 40 mins at 25°C. This yielded a pellet containing microtubules and
associated proteins (P2 fraction) and a soluble supernatant (S2 fraction). The
P2 fraction was rinsed twice by lysate buffer, re-suspended, and depolymerized
completely by ice-cold BRB80 buffer on ice. All fractions were denatured with 1x
loading buffer and analyzed by SDS-PAGE and western blot. The ability of motor
proteins to bind to microtubules was represented as the ratio of the amount of
motor protein present in P2 fraction to the total amount of motor protein
present in both P2 and S2 fractions. Three independent experiments were
performed for each study. Statistical analyses were performed by using a
two-tailed paired Student’s t test for two-group comparison experiments,
and by one-way ANOVA with post hoc Tukey t test for multiple comparisons
experiments.
Semiquantitative real-time PCR
The L3/L4 DRGs were harvested and RNA extracted by acid phenol
extraction (TRIzol reagent, Invitrogen). First-stranded cDNA synthesis (1
μg of total RNA per reaction) was performed with SuperScript III
Reverse Transcriptase per the manufacturer’s instructions
(Invitrogen). Quantitative real-time PCR was performed using the Sybr green
detection system with primer sets designed on Primer Express. Specific PCR
product amplification was confirmed using dissociation protocol. Transcript
regulation was determined using the relative standard curve method per the
manufacturer’s instructions (Applied Biosystems). Relative loading
was determined before RT with RNA spectrophotometry followed by gel
electrophoresis, and after RT by amplification of glyceraldehyde-3-phosphate
dehydrogenase. Primers were as follows:
Adult DRG dissociated and spot cultures
DRGs were dissected from adult vGLUT2:Tdtomato
Tubb3 and
Tubb mice and digested with
collagenase (5mg/ml) (Worthington Biochemical Corporation, Lakewood, New Jersey)
and dispase (1mg/ml) (Sigma, St. Louis, Missouri) for 2 hours at 37°C.
Neurons were then dissociated by mechanical trituration using a Pasteur pipette.
Dissociated neurons were loaded over a 10% BSA (Sigma, St. Louis, Missouri)
cushion and centrifuged at 1000 g for 10 mins. The pellet of dissociated neurons
was resuspended and plated on PDL/laminin (Thermo Fisher Scientific, Carlsbad,
California) coated culture plates and cultured in neural basal medium
supplemented with B27 (Thermo Fisher Scientific, Carlsbad, California),
L-glutamine, streptavidin/ampicillin and 50 ng/ml of NGF (Thermo Fisher
Scientific, Carlsbad, California), 2 ng/ml GDNF (ProSpec, East Brunswick, New
jersey) and 0.1mM Cytosine β-D-arabinofuranoside (Sigma, St. Louis,
Missouri). For dissociated cultures, a neuronal suspension of
2×104 cells in 2ml culture medium was plated. For spot
cultures, a neuronal suspension of 2×104 cells/7 mL from each
mouse was placed as a spot in a defined region of the 35mm plate, and the
culture medium was added 90mins after plating. For both culture conditions, half
of the culture medium was changed every two days.
Adult DRG culture immunocytochemistry and neurite outgrowth analyses
After being cultured for the length of time indicated for each
experiment, cultures were fixed by 4% PFA/0.01 M PBS for 20 mins at room
temperature (RT) and washed x 3 with 0.01M PBS. DRG neurons were then
permeabilized with 0.1% Triton X-100/0.01M PBS, incubated in blocking solution
(5% normal goat serum, 1% BSA, 0.1% Triton X-100 in 0.01M PBS) for 1 hr at RT,
and then incubated overnight at 4°C with two primary antibodies, rabbit
anti-bIII-tubulin (1:1000, Abcam, Cambridge, Massachusetts) and mouse
antiNeurofilament-medium chain (1:500; clone 2H3, Developmental Studies
Hybridoma Bank, Iowa City, Iowa). The following day, the neurons were washed x3
in 0.01M PBS, and incubated with Alexa Fluor 647 and Alexa Fluor 488 conjugated
goat anti-rabbit and goat anti-mouse IgG secondary antibodies (1:1000, Thermo
Fisher Scientific, Carlsbad, California). Both primary and secondary antibodies
were diluted in blocking solution. After several washes in 0.01M PBS, images
were acquired on an inverted Nikon Eclipse Ti epifluorescence microscope with
Coolsnap HQ2 camera (Photometrics, Tucson, Arizona), Nikon Elements software
(Nikon, Melville, New York) and a 10X Plan Apo objective.Neurite length and number were analyzed from cultures of dissociated
neurons using the software “Thermo Scientific HCS Studio: Cellomics Scan
Version6.60.” Neurite outgrowth was analyzed from spot cultures using the
Sholl analysis and ImageJ software with a written macro (National Institutes of
Health). Growth cone behavior was analyzed from DIV6 spot cultures by capturing
1 hour time-lapse (interval = 1min) images of the distal axon and growth cone of
vGLUT2:Tdtomato positive neurons. The trajectory of the
movement of growth cones was traced using the “Manual Tracking”
function of ImageJ software (National Institutes of Health).
EB3-GFP tracking of microtubule dynamics in DRG growth cones
Adult DRG neuron spot cultures were infected with purified AAV8-EB3-GFP
one day after plating. 4 days after infection, 5mins time-lapse images were
acquired on an inverted Nikon Eclipse Ti epifluorescence microscope with a
Total Internal
Reflection Fluorescence (TIRF)
microscope with a 100X 1.45 N.A. oil immersion TIRF objective (Olympus, Center
Valley, Pennsylvania). Microtubule dynamics in axonal growth cones, including
microtubule growth velocity, growth lifetime, and growth length, were analyzed
using the software plusTipTracker. The experiment was repeated three times and,
for each experiment, at least 10 to 15 growth cones from each condition were
quantified. Statistical significance was determined by a two-tailed paired
Student’s t test for comparison between
Tubb3 and
WT mice.
Behavioral studies
All animal procedures were approved by the Boston Children’s
Hospital Animal Care and Use Committee and conducted in a blinded fashion in a
quiet room (temperature 22 ± 1°C) between the hours of 9 AM to 6
PM. Only males were used for behavioral studies (3 to 6 months, unless otherwise
stated. Mice were housed with their littermates (2 to 5 mice per cage based on
the litters) in OptiMICE cages with food and water ad libitum. All animals were
maintained under the same conditions (22 ± 1°C, 50% relative
humidity, 12-h light/dark cycle). Randomization was achieved through the
breeding: at the time of weaning mice were separated based on their sex and
placed in their new home cage. Only cages with a mixed representation of
transgenic mice and their littermates were used for behavioral experiments. All
experiments used at least 2 independent litters and were duplicated. Behavioral
assays and genotyping were performed by different experimenters.
General behavioral assays
Actimetry
Ambulatory locomotion was monitored with an infrared detector
(InfraMot-Activity System; TSE Systems Inc, Chesterfield, MO, USA). Mice
were placed individually into their evaluation cage (445 cm2) for 2 days for
habituation. The number of ambulatory events was then collected over 4 days
and computed by bins of 1hr.
Social interaction
Mice in their home cages were habituated to the testing room for 30
minutes prior to testing. The testing apparatus was a rectangular black
acrylic box divided equally into (3) separate chambers. The two inner
dividers were clear acrylic and contained sliding doorways to allow mice
access into each individual chamber. A video camera was mounting above the
testing chamber to record mouse during the test. Each 10-minute test
consisted of two phases: Novel mouse versus Empty cage and Familiar mouse
versus new Novel mouse. Prior to adding the novel mouse, each test mouse was
allowed to explore the (3) chambers with full access to each partition
containing small empty cages made of acrylic bars. Following the habituation
phase the test mouse was placed in the center chamber with the doorways
closed. An unfamiliar mouse was place on one of the empty acrylic cages
(alternating left and right). Both doorways were then opened simultaneously
to allow the test mouse to once again explore each chamber for 10 minutes.
The test mouse was then removed from the test chamber and an unfamiliar
mouse was added to the second holding cage opposite from the now familiar
mouse. The test mouse was then placed in the center chamber. The doorways
were opened simultaneously to allow the test mouse to explore each chamber
containing the familiar and new novel mouse.
Elevated plus maze
The elevated plus maze (Noldus Information Technology Inc.,
Leesburg, VA) consisted of two opaque closed arms and two open arms joined
by a center opening. A video camera was mounted above the center of the plus
maze. Mice were habituated in their home cages in the testing room 30
minutes prior to testing and then each mouse was placed in the center of the
plus maze toward the closed arm furthest away from investigator and allowed
to freely explore the maze. Video was recorded for a 5-minute trial per
animal and the time spent in closed and open arms were calculated using
Noldus Ethovison XT.
Water Morris
Mice were habituated in their home cages in testing room for 30
minutes prior to testing. The Morris water maze test consisted of one test
per day for 5 days. Day 1, visual platform: mice were tested with a visual
platform raised above the water with a visible lollipop stand placed in
center of the platform. Two visual trials were conducted, one trial with 4
start points. Day 2, hidden platform 1: Platform was moved 180 degrees and
submerged under 1cm of water. Two hidden trials were conducted. Day 3,
hidden platform 2: Platform remained submerged in the same location as the
previous day and three hidden trials were conducted. Day 4, probe trial:
platform was removed and mice were given a 60 s swimming trial. Day 5,
reversal: Platform was relocated 180 degrees and submerged under 1 cm of
water. Three reversal trials were conducted. A video camera was mounted
above the large tank and tracking data was recording using Noldus Ethovison
XT.
Olfaction
Mice were habituated to the testing food, Bacon Softies
S3580–1 (Bio-Serv, Flemington, NJ 08822), in their home cage for
three days prior to olfaction testing. On the day of testing, mice were
first habituated in their home cages in the testing room for 30 minutes, and
then each test mouse was placed in a clean pie shaped OptiMICE cage
containing 1/4 inch recycled paper bedding with the cage lid closed. Mice
were allowed to explore the cage for 5 minutes. Subsequently, forceps were
used to place a 1/2 inch piece of bacon softie on the cage filter located in
the OptiMICE cage cover. The duration of time taken by each mouse from
softie placement to onset of seeking behavior (head positioning, whisker
twitching), and from onset of seeking behavior to when the mouse’s
nose touched the filter that held the bacon softie were recorded for each
mouse. Mice were not food restricted at any point during the study, and were
rewarded with the softie once the food object was found.
Visual Acuity
Mice were habituated in their home cage in the testing room for 30
minutes prior to start of testing. Mice were also habituated to the Mouse
OptoMotry testing chamber (Cerebral Mechanics) for 10 minutes prior to start
of testing. The testing chamber consisted of a square box with a video
camera mounted in the top of the hatch lid. Four video monitors comprised
the walls of the chamber, and were used to display visual stimuli to the
test mouse. A round platform mounted in the center of the floor the box was
used as a pedestal for the mouse to stand on during testing. The
unrestrained test mouse was placed on the pedestal and presented with visual
stimuli in the form of vertical bars of varying frequencies rotating
steadily across the monitors in a clockwise or counterclockwise direction. A
positive response was recorded as the mouse fixating on one of the bars and
rotating the head with the bar. A negative response was recorded as failure
to fix on bar and rotate the head as the bar moved across the monitor.
Frequencies of 0.078, 0.228 and 0.303 Hz (cyc/deg) were measured (Prusky et al., 2004).
Nociception assays
Pinprick test
Mice were placed onto a mesh grid (5 × 5 mm) under an
upside-down 500 mL beaker, and an Austerlitz pin (000; Fine Scientific
Tools, USA) was gently applied onto the sural territory of the paw. The
number of withdrawals out of 10 stimulations was measured. The same male
experimenter tested all conditions.
Von Frey filaments (static punctate mechanical stimuli)
Mice were placed on a mesh grid (5 × 5 mm) under an
upside-down 500 mL beaker, and mechanical sensitivity was determined with a
graded series of seven von Frey filaments that produced a bending force of
0.07, 0.16, 0.4, 0.6, 1, 1.4 and 2 g. The stimuli were applied within the
sciatic nerve territory of the mice for 1–3 s. Each filament was
tested ten times in order of increasing force, starting with the filament
producing the lowest force. Successive von Frey filament applications were
separated by at least 5 s after the mice had returned to their initial
resting state. The same male experimenter tested all conditions.
Acetone test (response to cold)
Mice were placed onto a mesh grid (5 × 5 mm) under an
upside-down 500 mL beaker, and a small volume of acetone (5 ml) was applied
to the plantar surface of the hindpaw using a 1 mL syringe. The time spent
flinching or licking the paw was recorded for 1 min with a stopwatch. Mice
were tested twice per session. The same male experimenter tested all
conditions.
Radiant heat pain (Hargreaves test)
Before testing, each mouse was placed on an elevated glass surface
set at 30°C and habituated in their individual cage for 1 h. Then a
radiant heat source (beam intensity set to cause baseline latencies in
C57Bl6/j mice~15 s) was targeted at the paw and the latency to withdraw was
measured. Radiant heat apparatus was from IITC Life Science Inc. (USA).
Contact heat pain (hot plate test)
Mice were placed on a metallic plate heated at 52°C within an
acrylic container (Bioseb, France), and the latency to flinching, licking one of
the hindpaws or jumping was measured. Mice were habituated to the procedure by
placing them on a plate set at 30°C, and several baseline measurements
were taken to reduce the risk of habituation or sensitization. Only one
measurement was performed per day. The same male experimenter tested all
conditions.
Formalin assay
Mice were gently handled and a solution containing 1% formalin
dissolved in water was injected intraplantarly. Immediately after injection,
mice were placed under an upside-down 500 mL beaker and the time spent
flinching or licking the injected paw was measured. Results are presented by
3 minutes bin. The same female experimenter tested all mice.
Sciatic nerve crush surgery
Sciatic nerve crush surgery (SNcrush) was performed under 3% induction /
2% maintenance with isoflurane on adult mice (8 to 12 weeks old). The left
sciatic nerve was exposed just below the sciatic notch under sterile conditions
and then crushed using Dumont #5/45 forceps for 30 s under a dissection
microscope. After the nerve injury, the incision wound was sutured and animals
were allowed to recover on heated pads before being returned to their home cage.
The surgeon who performed the SNI was blinded to the genotype.
Sensory functional recovery following sciatic nerve crush
High threshold mechano-sensitivity (pinprick test)
Mice were placed on wire mesh cages and tested after a 20-minute
habituation period, or when they were idle. An Austerlitz pin (000; Fine
Scientific Tools, USA) was then gently applied to the plantar surface of the
paw without moving the paw or penetrating the skin. For measuring
regeneration rate, the most lateral part of the plantar surface of the hind
paw (sensory field of the sciatic nerve) was divided into 5 areas. The
pinprick was applied from the most lateral toe to the heel. A response was
considered positive when the animal briskly removed its paw, and the animal
was graded 1 for this area, and then tested for the next one. If none of the
applications elicited a positive response, the overall grade was 0. In that
case, the saphenous territory of the same paw was tested as a positive
control, which always elicited a positive response. For sensitivity, the pin
was applied ten times in the same area and the number of brisk withdrawals
was measured.
Low-threshold mechano sensitivity (brush test)
Mice were placed onto a mesh grid (5 × 5 mm) under an
upside-down 500 mL beaker, and three successive gentle touch stimuli were
applied with a round-head paintbrush with a diameter of 2 mm (Princeton
Brush Co.) onto the sural territory of the paw separated into 2 halves. Each
series of stimulations started at the distal part of the paw to its middle
and lasted less than 1 s. For regeneration studies, the brush was applied
twice in each territory and the mouse was scored 1 per territory if it
withdrew its paw upon stimulation. For sensory sensitivity, the brush was
applied 10 times across the whole hindpaw and the number of withdrawals and
time spent flinching/liking was recorded. The same male experimenter tested
all conditions.Mice were placed on a mesh grid (5 × 5 mm) under an
upside-down 500 mL beaker, and mechanical sensitivity after sciatic nerve
crush was determined using von Frey filaments that produced a bending force
of 1 and 2 g. The stimuli were applied within the sciatic nerve territory
(#2) of the mice for 1–3 s ten times and the number of brisk
withdrawals was measured. Mice were tested daily from d7 to d24 after
sciatic nerve crush. The same male experimenter tested all conditions.
Motor functional recovery following sciatic nerve crush
Toes spreading (TS)
Mice were recorded walking (18 cm/sec) using DigiGait apparatus
(Mouse Specifics, MA, USA) and TS was calculated using imageJ to calculate
the distance between the most lateral hindpaw toes at the time of flexion.
In a separate series of experiments, toes spreading was evaluated manually
by gently covering mice with a piece of cloth and lifting them by the tail,
uncovering the hind paws for clear observation. Under this condition, the
digits spread, maximizing the space between them (the toe spreading reflex).
The reappearance of this reflex results from reinnervation of the small
muscles of the foot and was scored: 0, no spreading; 1, intermediate
spreading with all toes; and 2, full spreading. The results were comparable
to the scoring of the DigiGait signal. All mice were tested before injury
and had a score of 2.
Compound muscle action potentials (CMAP)
Mice were deeply anesthetized by an intra-peritoneal injection of
urethane (200 mg/kg). Sciatic nerves were exposed bilaterally and a steel
bipolar stimulating electrode placed under the sciatic nerve at the proximal
level of sciatic notch. The recording electrode was placed in the
intraplantar muscle, a reference electrode was placed distal to the
recording electrode and a ground electrode was placed in the lower thigh.
CMAP evoked by supramaximal square-wave stimulus pulses were recorded using
a MEB-9400A-L-T EMG/NCV/EP system (Nihon Kohden, Foothill Ranch, CA).
Amplitude, area, duration of compound muscle action potentials and the
distal motor latency were measured.
Sleep recording surgery
Mice were anesthetized with ketamine–xylazine (100 mg and 10
mg per kg bodyweight, i.p.) and placed in a stereotaxic apparatus (model
1900, David Kopf Instruments). Two stainless steel screws were implanted for
ipsilateral frontoparietal EEG recordings (1.5 mm lateral to the right of
the sagittal suture, 1 mm anterior to the bregma and 2 mm anterior to the
lambda). Two flexible EMG electrodes (multistranded stainless steel wire;
AS131, Cooner Wire) were inserted into the neck extensor muscles. All
electrodes were attached to a 2 ×3 2 microstrip connector affixed to
the animal’s head with dental cement, and the scalp wound was closed
with surgical sutures. Mice were given meloxicam (5 mg per kg bodyweight,
i.p.) before they regained consciousness and then daily for 2 d and were
housed singly after surgery. Ten days later, they were transferred to
individual recording cages in a sound-attenuated chamber and connected by a
flexible tether to a commutator (Crist Instrument Co.) for 5 d before their
baseline sleep–wake and sensory behaviors were measured.
EEG and EMG acquisition and analysis
EEG and EMG signals were amplified ( × 5,000) using a Grass
Instruments model 12 amplifier (West Warwick, RI) and were filtered as follows:
high-pass filter at 0.3 Hz and low-pass filter at 1,000 Hz. Signals were sampled
and stored at 128 Hz, digitally filtered (EEG, 0.3–30 Hz; EMG,
10–100 Hz), and semi-automatically scored in 10 s epochs as wake, NREMS
or REMS using SleepSign for Animal (Kissei Comtec). This preliminary scoring was
visually inspected by a trained experimenter and corrected when appropriate. The
percentage of time spent in wake, NREMS and REMS, as well as the mean duration
and number of behavioral state bouts, was calculated for each condition. NREMS
sleep attempts were defined as NREMS bouts of < 5 s. NREMS latency was
defined as the time elapsed between the beginning of the recovery period
(immediately after the mice returned to their home cages and were reconnected to
their tethers) and the first NREMS episode lasting ≥ 30 s.EEG power spectra were computed by a fast Fourier transformation routine
(using a Hanning window) for each 10 s epoch between 0.5 and 64.0 Hz with
0.25-Hz resolution. Epochs containing movement artifacts, predominantly during
active wake, were excluded from spectral analysis. SWA (EEG power in the band at
0.5–4.0 Hz) during NREMS was computed over the first 5 h of the sleep
opportunity period (2:00 p.m.–7:00 p.m.) after sleep deprivation in
absolute values and expressed as the percentage of the baseline SWA mean value
during NREMS measured over 24 h for each mouse. This transformation allowed for
correction for individual differences in absolute power. Next, SWA was
calculated over 360 NREMS epoch intervals (first, second and third hours of
NREMS) to plot the time course of SWA decay expressed as the percentage of the
baseline SWA mean value during NREMS measured over 24 h. Changes in SWA were
analyzed within an individual NREMS episode by selecting all NREMS bouts lasting
at least 60 s and preceded by at least 10 s of wake that occurred during the
first 3 h of the sleep opportunity period and the corresponding baseline time
interval for each animal. For normalization, all 10 s epochs were expressed
relative to the baseline SWA mean value during NREMS measured over 24 h.
QUANTIFICATION AND STATISTICAL ANALYSIS
Statistical analyses were performed as indicated using GraphPad Prism7 or
Microsoft Excel for analyses and graphical representations. Quantitative data are
presented as mean ± SEM. All experiments were independently repeated at least
three times. Statistical details of experiments and statistical significance can be
found in the figure legends.
REAGENT or RESOURCE
SOURCE
IDENTIFIER
Antibodies
Rabbit polyclonal anti-GFP
Thermo Fisher Scientific
Cat#A-11122; RRID:AB_221569
Mouse monoclonal antineurofilament (clone
2H3)
Developmental StudiesHybridoma
Bank
Cat#2H3; RRID:AB_531793
Alexa Fluor 594 goat anti-mouse
Thermo Fisher Scientific
Cat#A-11032; RRID:AB_2534091
Alexa Fluor 488 goat anti-mouse
Thermo Fisher Scientific
Cat#A-11001; RRID:AB_2534069
Alexa Fluor 647 goat anti-rabbit
Thermo Fisher Scientific
Cat#A-21244; RRID:AB_10562581
Mouse monoclonal anti-α-tubulin
(clone DM1A)
Sigma-Aldrich
Cat#T6199; RRID:AB_477583
Rabbit polyclonal
anti-βIII-tubulin
Abcam
Cat#AB18207; RRID:AB_444319
Mouse monoclonal anti kinesin heavy chain
(clone H2)
EMD Millipore Corporation
Cat#MAB1614; RRID:AB_942284
Rabbit polyclonal anti-Kif21a
Generated by our lab as described (PMID:
20074521)
N/A
Mouse monoclonal anti Dynein intermediate
chain (clone 74.1)
Authors: Homaira Nawabi; Stephane Belin; Romain Cartoni; Philip R Williams; Chen Wang; Alban Latremolière; Xuhua Wang; Junjie Zhu; Daniel G Taub; Xiaoqin Fu; Bin Yu; Xiaosong Gu; Clifford J Woolf; Judy S Liu; Christopher V Gabel; Judith A Steen; Zhigang He Journal: Neuron Date: 2015-10-29 Impact factor: 17.173
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Authors: Paolo La Montanara; Arnau Hervera; Lucas L Baltussen; Thomas H Hutson; Ilaria Palmisano; Francesco De Virgiliis; Guiping Kong; Jessica Chadwick; Yunan Gao; Katalin Bartus; Qasim A Majid; Nikos Gorgoraptis; Kingsley Wong; Jenny Downs; Tommaso Pizzorusso; Sila K Ultanir; Helen Leonard; Hongwei Yu; David S Millar; Nagy Istvan; Nicholas D Mazarakis; Simone Di Giovanni Journal: Sci Transl Med Date: 2020-07-08 Impact factor: 17.956