Abstract
Oral mechanoreception is implicated in fundamental functions including speech, food intake and swallowing; yet, the neuroanatomical substrates that encode mechanical stimuli are not well understood. Tactile perception is initiated by intricate mechanosensitive machinery involving dedicated cells and neurons. This signal transduction setup is coupled with the topology and mechanical properties of surrounding epithelium, thereby providing a sensitive and accurate system to detect stress fluctuations from the external environment. We mapped the distribution of anatomically distinct neuronal endings in mouse oral cavity using transgenic reporters, molecular markers and quantitative histomorphometry. We found that the tongue is equipped with an array of putative mechanoreceptors that express the principal mechanosensory channel Piezo2, including end bulbs of Krause innervating individual filiform papillae and a novel class of neuronal fibers innervating the epithelium surrounding taste buds. The hard palate and gums are densely populated with three classes of sensory afferents organized in discrete patterns including Merkel cell-neurite complexes, Meissner’s corpuscles and glomerular corpuscles. In aged mice, we find that palatal Merkel cells reduce in number at key time-points that correlate with impaired oral abilities, such as swallowing and mastication. Collectively, this work identifies the mechanosensory architecture of oral tissues involved in feeding.
Introduction
The oral cavity is responsible for a variety of complex behaviors, including feeding and speech. These behaviors are governed by chemosensory and somatosensory neurons, which converge in the mouth to transduce chemical and physical stimuli. For example, thermal and mechanical qualities of food are important components of flavor determination during food choice1,2. Mechanical qualities such as grittiness, stickiness, viscosity, hardness and greasiness are used as proxies to determine freshness and nutritional content of foods3. Food structure, and thus, texture perception also impacts caloric intake2,4,5. As food is chewed, the texture of the bolus determined through a psychophysical interpretation of its structural and mechanical properties6,7 modulates aspects of bite force8,9, tongue position, and determination of appropriate swallow time7. Mechanical inputs on the back of the throat then trigger and perpetuate the swallow reflex10. Despite their importance in feeding, little is known about somatosensory neurons in the oral cavity that encode physical qualities, such as texture. The environment of the oral cavity poses a particularly complex location for the study of texture perception, as it is composed of multiple epithelial surfaces (e.g. tongue, hard palate, gingiva) with differences in tissue compliance and neuronal structures. In order to understand the physiological basis for texture in feeding, it is necessary to analyze the somatosensory substrates in these tissues.
During aging, the ability to detect the mechanical properties of foodstuffs declines. Reduced mechanosensitivity can have profound implications for quality of life that recapitulate elderly oral pathologies; in fact, damage to the lingual branch of the trigeminal nerve results in tongue biting, inability to position foods in the mouth, burning mouth syndrome, speech alterations and perceptual changes in food quality11. Amongst the elderly, age-related reductions have been reported in two-point discrimination abilities in tongue, cheeks and lips12; touch threshold detection in the cheeks, tongue and anterior palate13; and tongue vibrotactile sensitivity, a correlate of speech production abilities14. In addition to these, the ability to discriminate shapes, a correlate of masticatory abilities termed stereognosis, declines with age15–18. Few studies have addressed the neural correlates of sensory decline in the oral cavity. In histology, decreases in overall innervation density to human gingiva have been identified with aging19. Similarly, in the aging murine hard palate, reductions in complexity and size of Meissner’s corpuscles have been reported20. However, alterations in other mechanosensory structures have not been investigated. The alterations in neuronal architecture that underlie particular aspects of age-related tactile decline are an open research topic.
Conserved features of cutaneous somatosensation can guide the study of oral tissues. In the skin, mechanosensory cells detect an array of physical stimuli including pressure and vibrations. Somatosensory neurons that encode tactile stimuli have anatomically specialized peripheral terminals, termed end organs, that shape the neuron’s response properties to sensory stimuli. Several distinct cutaneous end organ subtypes discriminate unique aspects of touch. For example, encapsulated corpuscles, such as Meissner’s and Pacinian corpuscles, detect texture and vibrations of different frequencies21. Merkel cell-neurite complexes are required for shape discrimination and reporting sustained pressure21. Cutaneous mechanosensory endings can be localized in tissues based on anatomical structure combined with molecular properties such as expression of the myelinated neuron marker Neurofilament-Heavy (NFH), expression of the principal mechanosensory protein Piezo222, and uptake of the styryl dye FM1-4323. On the other hand, unmyelinated free nerve endings sense nociceptive, thermal, and chemical stimuli and can be visualized by expression of peripherin24. In the oral cavity, multiple classes of mechanosensitive cells and neurons have been reported including: Merkel cell-neurite complexes, encapsulated corpuscles and free nerve endings25–31. These reports have relied primarily on ultrastructural electron microscopy and have resulted in conflicting results on the distribution and densities of presumptive mechanoreceptors in the oral cavity. A comprehensive analysis of mechanoreceptors in the murine oral cavity using modern histological methods is thus lacking. These studies are essential for understanding how somatosensory alterations affect feeding pathologies.
Here we present a systematic histological analysis using modern molecular biology tools to analyze the anatomical and molecular diversity of somatosensory receptors in the oral cavity in young adult and aged mice.
Results
Sensory innervation of the lingual mucosa
To identify sensory innervation in the tongue, we first analyzed uptake of FM1-43, a styryl dye that can enter sensory cells through non-selective cation channels often associated with mechanosensory afferents23. Innervation was analyzed in two classes of lingual papillae, the fungiform taste papillae which are speckled throughout the anterior two-thirds of the tongue, and the filiform non-taste papillae, which comprise the majority of the tongue surface. A collar of FM1-43+ neurons surrounded fungiform taste buds and FM1-43+ afferents were identified in tight association with filiform papillae (Fig. 1a,b and Supplemental Movie 1). In optical sections, we found that neuronal endings are associated with individual filiform papillae (Fig. 1a’,b’). Collectively, these data suggest that both fungiform and filiform papillae are equipped with neuronal endings innervating non-taste structures.
To identify the molecular classification of neurons innervating lingual papillae, we employed section immunohistochemistry with neuronal markers associated primarily with small-diameter, unmyelinated neurons (peripherin) and medium- and large-diameter, myelinated neurons (NFH). Antibodies against keratin 8 (K8) and β-III tubulin (βIII) were used to identify taste cells and all neurons, respectively. Fungiform papillae were surrounded by NFH+ afferents that extended into the surrounding epithelium adjacent to K8+ taste buds (Fig. 1c). Peripherin+ neuronal afferents also extended into fungiform papillae into the overlying epithelium and in association with taste cells as presumptive gustatory afferents (Fig. 1d). We next analyzed non taste-associated papillae in the tongue. Filiform papillae were innervated by both NFH+ and peripherin+ afferents (Fig. 1e,f). Interestingly, some neurons extended processes into the apical portions of filiform papillae, perhaps providing additional access to the external environment as thermal or chemical receptors (Fig. 1e). As previously described in cat tongue29, all filiform papillae were innervated with encapsulated end bulbs of Krause, visualized by Nestin+ Schwann cells surrounding afferents (Fig. 1g). Collectively, these data suggest that individual filiform and fungiform papillae are innervated by multiple neurons of different classes, likely transducing different sensory sub-modalities.
Merkel cells have been reported in the tongues of primates, birds, reptiles and amphibians32–35 but have not been identified in rodents. Thus, we attempted to localize Merkel cells within the murine lingual epithelium. To this end, we employed reporter mouse lines that express genetically encoded markers under the control of Atoh1, a basic helix-loop-helix transcription factor that is essential for Merkel-cell development and the earliest known selective marker for Merkel cells in skin36,37. The location and density of Merkel cells in the lingual mucosa was first mapped using Atoh1LacZ/+ mice37. In the Atoh1LacZ/+ targeted allele, the endogenous Atoh1 coding region is replaced with LacZ; however, no haploinsufficiency phenotypes have been identified in Atoh1LacZ/+ mice38. Whole mount X-gal staining of Atoh1LacZ/+ tongues revealed diffuse staining in a pattern similar to taste bud locations (Supplemental Fig. 1a,b). X-gal staining was absent in wild-type (WT) littermates lacking the LacZ allele, indicating that the staining is specific for Atoh1 locus expression. To identify cellular localization of Atoh1, alternating tissue sections were analyzed spanning entire tongues of Atoh1tm4.1Hzo mice, which express an Atoh1-green fluorescent protein (GFP) fusion protein39. K8 labels both mature Merkel cells and taste cells, and therefore the use of transgenic mice is essential to identify bona fide Merkel cells in this tissue40. Only a single GFP+K8+ cell was identified in three tongues examined in this manner. This cell was located within a fungiform papilla adjacent to the taste bud and was of an atypical shape (Supplemental Fig. 1c). Interestingly, in these sections low and punctate expression of GFP staining in taste buds was identified, which likely correlates with X-gal staining observed in Atoh1LacZ/+ taste buds. These data indicate that Merkel cells are not a major sensory cell in the mouse tongue.
Sensory innervation of the gingiva and palatal mucosa
Somatosensory innervation of maxillary tissue was analyzed using FM1-43 uptake and whole mount imaging. As previously reported27, dense innervation in the palatine rugae was identified by FM1-43 (Fig. 2a,b). Innervation was present in the apical ridges of both antemolar and intermolar rugae. Frequent apical neuronal extensions, deemed ultra-terminals41, were found jutting above neuronal clusters (Fig. 2a, arrows). In the gingival mucosa, cells with the morphology of Merkel cells labelled with FM1-43, and FM1-43+ neuronal endings were sparse (Fig. 2c). Thus, the palatal mucosa is densely packed with FM1-43+ endings concentrated in rugal ridges while the gingiva is lined with Merkel cells.
We next performed multiplex immunohistochemistry on hard palate sections to classify neuronal afferents innervating rugae. Glomerular endings (Fig. 2d, white arrow) were found throughout the palatine mucosa and were classified by having dense bundles of neurons. As previously reported42, glomerular endings in the hard palate were surrounded by S100+ terminal Schwann cells (Fig. 2e). Meissner’s corpuscles, visualized by NFH22 (Fig. 2f, arrow), were found in the lamina propria and were distinguished from glomerular corpuscles based on their elegant neuronal endings comprised of several turns of one or more NFH+ fibers. Both glomerular endings and Meissner’s corpuscles were often associated with an ultra-terminal that projected to the superficial layers of the stratum spinosum and stratum granulosum (Fig. 2d,f, asterisk). Merkel cells in palatine rugae were heavily innervated by βIII+ neuronal afferents (K8, Fig. 2d), collectively forming Merkel cell-neurite complexes. Merkel cells were Atoh1+ (GFP, Fig. 2f), and were comprised of cells either contacted by NFH+ afferents (Fig. 2g, white arrow), or uncontacted (Fig. 2f,g, yellow arrow). Free nerve endings were located in the epithelium with terminations in the basal layers of the stratum spinosum (Fig. 2d, yellow arrow). Peripherin+, small-diameter afferents were found adjacent to glomerular endings (Fig. 2g). These endings were distinct from ultra-terminals in that they were not found in proximity to a corpuscular structure, terminated in basal layers of the epithelium, and tended to be on the lateral sides of rugae.
In the maxillary gingiva, K8+ Merkel cells were identified on the external aspects of the molars (Fig. 2i, white arrow). NFH+, βIII+ neuronal endings were found coursing through the lamina propria; however, no organized end-organ structures were apparent (Fig. 2i, yellow arrow). Thus, an array of putative somatosensory afferents innervates the murine hard palate while the maxillary gingiva is primarily innervated by Merkel cell-neurite complexes.
Mechanosensory neurons of the oral epithelium
To identify neurons in the oral cavity mediating texture detection, we analyzed protein localization of Piezo2, a mechanosensory ion channel that is required for peripheral mechanosensation22, using tissue from Piezo2tm1.1(Cre)Apat (Piezo2-EGFP-IRES-Cre) mice43. This transgenic mouse line expresses a fusion protein of Piezo2 with EGFP, thereby expressing GFP at the precise locations where Piezo2 protein is expressed. In the fungiform papillae, Piezo2 protein is selectively localized to bulbous neuronal endings that surround K8+ taste buds (Fig. 3a), comprising a unique starburst-shaped tactile ending that innervates the epidermis of the tongue44,45. In filiform papillae (Fig. 3b), Piezo2 protein was located in a subset of neuronal endings in the same area where end bulbs of Krause were located (Fig. 1g), suggesting that some afferents in end bulbs of Krause are mechanosensory. In hard palate rugae, we found that Piezo2 protein localizes to both glomerular endings (Fig. 3c) as well as in crescents surrounding Merkel cells (Fig. 3c). These structures overlapped with the Merkel cell marker K8 in some cases but not others (Fig. 3c,d white and red arrows). Cells expressing Piezo2 but not K8 could be K8- Merkel cells or Merkel cell afferents46. These studies are the first to show a high abundance of the mechanically activated ion channel Piezo2 in the oral cavity.
Changes in sensory architecture with aging
To explore changes in sensory architecture during aging, we first analyzed the localization of Merkel cells in the hard palate and gingival mucosa. In skin, decreases in tactile sensitivity and reduced two-point discrimination are associated with aging and could be due to loss of peripheral sensory endings47,48. Merkel cell density declines with aging in skin49; however, to our knowledge no studies have shown Merkel cell loss with advanced aging in the oral cavity. Thus, we analyzed Merkel cell density in adult and aged mice. X-gal staining was performed on adult Atoh1LacZ/+ whole mount palates and gingiva. This method provides a comprehensive map of Merkel cell distribution and allows density calculations in whole palate and gingiva tissue. LacZ+ cells were found throughout the palatine mucosa of Atoh1LacZ/+ mice (Fig. 4a). In particular, LacZ+ Merkel cells were concentrated on palatine rugae, with highest densities on the incisive papilla and the postrugal field. Merkel cells were also observed at lower densities in the inter-rugal epithelium. We found a qualitative decline in the number of Atoh1LacZ clusters in palates of aged mice (12–20 months, Fig. 4b). In the gingiva of mature mice, a stripe of Atoh1LacZ cells lined the lateral edge of the epithelium (Fig. 4c). This stripe of Merkel cells was ablated in aged mouse gingiva (Fig. 4d). The density of X-gal staining in the palatine mucosa was quantified and revealed a significant reduction in Merkel cell density in aged compared to mature hard palates (p = 0.0009, Fig. 4e). Cross sections of X-gal stained hard palates revealed regions of LacZ expressing pegs in mature mice that are consistent with areas of high Merkel cell density (Fig. 4f,g). In aged mice, the overall structure of rugae remained intact (Fig. 4h,i) with fewer LacZ+ regions. To confirm the reduction in Merkel cell density using an additional histological marker, we analyzed sectioned tissue. A notable decrease in K8+ Merkel cells was identified throughout the palate (Fig. 5a–d); in agreement with global expression data from Atoh1LacZ/+ mice (Fig. 4). The postrugal field exhibits reorganization of neuronal fiber networks including a repartition between strata and lamina epithelial layers (Fig. 5c,d, yellow arrows). Collectively, these data suggest that mouse oral epithelia undergo modification of the neurosensory architecture with aging.
Discussion
The oral mucosa is richly innervated with sensory afferents that play important roles in mediating feeding (Fig. 6). In this study, we investigated the diversity and distribution of sensory innervation in the oral cavity in adult and aged mice. We found that oral cavity mucosae have abundant sensory innervation. We localized expression of Piezo2, the mechanosensitive ion channel required for discriminative touch, in neuronal subtypes previously hypothesized to function in tactile sensations22,43–45. Furthermore, we found that Merkel cell density declines with aging, accompanied by reorganization of neuronal architecture. These results could account for alterations in a variety of oral abilities with age, including alterations in discrimination, chewing, swallowing, flavor recognition and speech production13,50,51.
Neuronal distribution in lingual mucosa
Mechanoreceptors in the tongue have been hypothesized to be located in fungiform papillae, filiform papillae, or deep in muscle tissue29,44,45. Physiological studies on cat and human tongues have identified several classes of endings with distinct firing properties. Putative proprioceptive touch-responsive neurons have been identified that respond to high-threshold pressure, have large receptive fields and are responsive to tongue movement52. Neuronal moieties that are hypothesized to have superficial end-organs and roles in tactile perception include slowly adapting (SA) type I and II responses and rapidly adapting (RA) responses that either respond to pressure and stroking or stroking alone45,52,53. The end-organ structures that these neuronal responses correlate with have not been identified. In skin, SAI responses originate from the Merkel cell-neurite complex54. This is notable, considering that bona fide Merkel cells are rarely found in mammalian lingual tissue55. The end-organ for SAII responses is hypothesized to be Ruffini-endings, although definitive studies are still lacking54. Finally, RA responses in the glabrous skin are generated by Meissner’s and Pacinian corpuscles54.
In this study, we sought to identify somatosensory neuronal architecture in the tongue. By FM1-43 and immunohistochemistry, we found neuronal endings surrounding fungiform papillae and associated with filiform papillae. A subset of these endings express a hallmark of myelinated low-threshold mechanosensory neurons, NFH. These endings include a subset of neurons in filiform papillae and surrounding fungiform taste cells (Fig. 6). In addition to these, we also found Peripherin-expressing neurons in both of these structures that are likely nociceptors and thermoreceptors. Within filiform papillae, we identified encapsulated endings similar to end bulbs of Krause described in the cat tongue29. These endings were wrapped by Schwann cells, extended into connective tissue pockets embedded within individual papillae and express Piezo2 protein. Based on the morphology of these endings and their homology to Meissner’s corpuscles, we hypothesize that they are responsible for the RA currents found in physiological studies. This innervation pattern is similar to that of rats and distinct from bovine filiform papillae, where neuronal innervation is packed in connective tissue cores adjacent to keratinized papillary cones56. In fungiform papillae, we found a collar of neurons that extended into the epidermis surrounding taste cells. These endings have been previously shown to include both myelinated and unmyelinated subsets, to have cell bodies in the trigeminal ganglion and are hypothesized to be touch responsive44,57. Recent studies have also identified putative sympathetic and mechanosensory populations of neurons innervating this region from the Phox2b lineage58,59. We find that these endings express both NFH and Piezo2 and label with FM1-43, lending strong weight to a role in mechanosensitivity for a subset of these neurons. This finding is surprising, as neuronal endings that innervate the epidermis are not usually low-threshold mechanoreceptors, but rather unmyelinated C-fibers. Thus, the response properties of these neurons and whether they contribute to the SA responses remains an open question.
Innervation of the maxillary mucosa
Investigations into the innervation of hard palate and gingiva have identified several distinct end-organ structures. In the hard palate, high densities of Merkel cells have been reported in rugal epithelium27,30. Corpuscular endings have been described in detail in the mammalian hard palate including Meissner’s, Pacinian and Ruffini endings25,27. The hard palate is unique compared to other epithelial tissues in that corpuscular endings have been identified with apical neuronal processes that extend into the superficial layers of the epithelium, deemed ultra-terminals41. Free nerve endings have been identified in both basal and superficial layers of the epithelium60. In the gingiva, previous studies have found Merkel cells and Meissner’s corpuscles throughout the epithelium26,61–63.
We have confirmed and extended these previous findings in the hard palate epithelium. We observed endings that resemble Meissner’s and glomerular corpuscles30 (Fig. 6). In contrast to primates, we did not find definitive Pacinian or Ruffini corpuscles in this study25. Remarkably, we found frequent ultra-terminals in both whole mount FM1-43 studies and in section immunohistochemistry. These structures are believed to be extensions of corpuscular neuronal afferents rather than C-fibers, as low-density staining reveals these are extensions of corpuscular end organs rather than free endings41. In addition to this, ultra-terminals were identified that are FM1-43+ and NFH+, features that are not typical of c-fibers. It is also possible, that these endings could act as rapidly adapting touch receptors, as they share anatomical homology to the epidermal free nerve endings found in the Eimer’s organ of the star-nosed mole64,65. Currently, the function of these endings is completely unknown and a matter of speculation as to whether these modulate touch sensitivity or perhaps integrate temperature or chemical sensitivity to these afferents. As in previous reports, we find that Merkel cells are most dense on the palatine rugae with lower densities in the inter-rugal epithelium27. We extend these findings by providing a quantitative map of Merkel cell density in the hard palate. The highest densities of Merkel cells were found in the incisive papilla and the post-rugal field. Of these hard palate end organs, corpuscular endings and Merkel cells express Piezo2 protein. In addition to these, K8- cells in the epithelium also express Piezo2. Based on the location of these cells, they are likely Merkel cells that are not fully mature or SAI afferent endings. Additional analyses are needed to disentangle the molecular heterogeneity and linage of oral cavity Merkel cells.
Reports on the distribution, density and innervation of Merkel cells in the gingival mucosa are conflicting. Aimetti and colleagues found few Merkel cells in human gums with little innervation61. Others have found high densities of Merkel cells in human and primate gums28,66,67, but with sparse innervation. A possible explanation for these discrepancies could be sampling errors due to the tendency of Merkel cells to be localized in clusters26, or due to variations in the population due to age and injuries to the gums. In this work, we find a high density of Merkel cells in the adult mouse gingival mucosa that are contacted by βIII+ neuronal afferents. Interestingly, we could not identify encapsulated corpuscles in the maxillary gingiva, as previously found in human and rat tissues62,63. These results could reflect inter-species differences, or differences in techniques applied (e.g. differences in antigen specificity or immunohistochemistry vs. electron microscopy).
Collectively, the organization of the palatine mucosa resembles that of the high-acuity sensing rete ridges of the fingertip with encapsulated corpuscles jutting up in epithelial pegs of ridges and Merkel cells positioned at the base (Fig. 6). The mouse maxillary gingival mucosa is primarily lined with Merkel cell-neurite complexes. These are both in contrast to the lingual mucosa, that is innervated by encapsulated endings embedded in conical shaped filiform papillae and a novel NFH+ neuronal ending that extends into epithelial layers. How these variety of neuronal endings contribute to somatosensation necessary for tissue-specific functions has yet to be determined.
Changes in sensory architecture with aging
Aged populations are at higher risk for a multitude of adverse oral health issues with potential somatosensory abnormalities. These include decreased chewing, swallowing, speech, tactile sensitivity as well as burning mouth syndrome13,51,68. Multiple parameters of sensory function have been found to decline with age that may be related to symptomology; however, changes in sensorineural architecture that mediate these effects remain elusive. In this work, we have identified profound alterations in mechanosensory architecture in the oral cavity in aged mice. We found that Merkel cells, a class of pressure sensitive sensory cells, undergo a drastic decline with age. Age related alterations in Meissner’s corpuscle architecture are well documented in cutaneous and oral tissues20,69; yet this study is the first to report coincident reductions in Merkel cell density. Notably, these changes are associated with decreased feeding abilities in mice70. Whether reduced tactile abilities could influence feeding behaviors is open to further investigation. Furthermore, how different mechanosensory submodalities influence alterations in specific oral functions are yet to be determined.
In summary, this work has provided an immunohistochemical map of somatosensory receptors in the oral cavity including the tongue, hard palate and gingiva. We found that a subset of these neurons express Piezo2, a principle mediator of mechanosensitivity, and that these neurons label with FM1-43, providing strong evidence that they are tactile receptors. We then found that Merkel cells undergo a dramatic reduction in density with aging coincident with reduction in encapsulated endings and feeding abilities in rodents.
Materials and Methods
Animal Use
All animal experiments were approved by Columbia University’s Institutional Animal Care and Use Committee (IACUC) and conducted in accordance with Columbia University’s IACUC Policies.
Experiments were conducted using either C57BL/6J (Jackson Labs) or transgenic mouse lines. Transgenic mouse lines were kept on mixed genetic backgrounds. Atoh1LacZ mice (MGI: Atoh1tm2Hzo)38 were used for comprehensively mapping Merkel cells at low-resolution. In the Atoh1LacZ line, the Atoh1 coding region is replaced with LacZ, resulting in β-galactosidase expression in cells where Atoh1 is normally expressed. The Atoh1tm4.1Hzo mouse line39, which expresses an Atoh1-enhanced green fluorescent protein (EGFP) fusion protein, were used for detailed histology of Merkel cell distributions in sections. In addition, wild-type littermates were used to verify specificity of marker expression. To localize Piezo2 protein in tissues we employed mice that harbor a targeted allele with EGFP fused to the Piezo2 protein (Piezo2EGFP-IRES-Cre; MGI: Piezo2tm1.1(cre)Apat)43.
Mature mice used in this study were 7–15 weeks old. Aged mice were 12.5–20 months old. Both male and female mice were used in all experiments. For all histology experiments N ≥ 2 independent mice.
Tissue Processing and Histology
All experiments were performed at room temperature unless otherwise noted.
X-gal staining was used for β-galactosidase detection. Tongue, palate and gum specimens were dissected from Atoh1LacZ/+ and WT control animals. Tissue was fixed for 20 min in 4% paraformaldehyde (PFA) and then washed with phosphate buffered saline (PBS). Tissue was then rinsed three times in PBS containing 0.02% NP40 and 0.01% deoxycholate. Staining was performed overnight at 37 °C on a rotary shaker in PBS containing 5 mM K3Fe(CN)6, 5 mM K4Fe(CN)6, 0.02% NP40, 0.01% deoxycholate, 2 mM MgCl2, 5 mM EGTA, and 1 mg/ml X-gal. After staining, tissue was post-fixed in 4% PFA for 10 min.
For immunohistochemistry in tissue cryosections, tongue specimens were flash frozen in Tissue-Tek OCT over liquid nitrogen. Palate, gum, and teeth tissue was fixed for 2 h in 4% PFA at room temperature, washed in PBS and then decalcified for 1–2 weeks in 10% EDTA pH 7.4 at 4 °C on a rotary mixer. When soft, tissue was cryoprotected in 30% sucrose overnight at 4 °C and then embedded in Tissue-Tek OCT over liquid nitrogen. Sections (25 µm) were taken using a cryostat onto Superfrost slides (Fisherbrand).
For hematoxylin and eosin (H&E) staining, specimens were fixed overnight in Formalde-Fresh (10% formalin). Bony tissue was decalcified in 10% EDTA as described above. Tissues were then dehydrated in an ethanol series, cleared in xylene and embedded in paraffin blocks. Sections (5 µm) were cut and stained as previously described71.
For immunohistochemistry, slides were baked 45 min to 3 h at 37 °C to ensure adhesion and prehybridized in PBS containing 5% Normal goat serum and 0.3% Triton-X 100. Slides were then hybridized overnight at 4 °C with primary antibodies (Table 1) diluted in hybridization solution. Slides were then washed three times in PBS with 0.3% Triton-X 100, incubated with secondary antibodies diluted in hybridization buffer for 45 min to 2 h, washed three times in PBS and embedded in Fluoromount-G with DAPI (Southern Biotech).
Table 1.
Antibody | Cells marked | Source | Dilution | Catalog # | Lot # |
---|---|---|---|---|---|
Chicken anti-GFP | GFP expressing Merkel cells | Abcam | 1:1000 | ab13970 | GR89472-25 GR53074-1 |
Rat anti-Keratin 8 | Merkel cells & taste cells | DSHB | 1:100 | TROMA1-s | 12/31/14–22 µg/ml 7/7/16–30 µg/ml |
Chicken anti-Neurofilament H | Myelinated neurons | Abcam | 1:2000 | ab4680 | GR174538-12 GR260044-11 |
Rabbit anti-Neurofilament H | Myelinated neurons | Abcam | 1:1000 | Ab8135 | GR261841-4 |
Chicken anti-βIII tubulin | All neurons | Abcam | 1:3000 | ab107216 | GR250436-1 |
Rabbit anti-βIII tubulin | All neurons | Abcam | 1:2000 | ab18207 | GR204562-1 GR220660-1 |
Chicken anti-Nestin | Schwann cells | Novus | 1:200 | NB100-1604 | NES-89707987 0407 |
Rabbit anti S100 | Terminal Schwann cells | Dako | 1:100 | 20311 | 00084964 |
Rabbit anti-Peripherin | Small diameter neurons | Thermo Scientific | 1:500 | PA3-16723 | PG1878101E RB2152015 |
FM1-43 injections
Mice were injected with 2–3 mg/kg FM1-43 (Synaptogreen C4, Biotium Catalog #70022). After 12–16 hours, tongues were removed, and the epithelium was dissected and laid flat between coverslips with Fluoromount-G mounting media.
Imaging, Equipment and Settings
Immunohistochemistry images were acquired on laser scanning confocal microscope (Carl Zeiss LSR Exciter) equipped with a 20X 0.8 NA and 40X 1.3 NA objective lenses. Images were taken at 1024 × 1024 pixels with two line averages. For 20X images, pixel sizes were 0.31 µm with a pixel dwell of 1.28 µs. For 40X images, pixel sizes were 0.16 µm with a pixel dwell time of 1.6 µs. Merkel cell density and depth mapping images were acquired on a Zeiss Axioplan2 microscope using a 10X 0.45 NA objective lens. Exemplary LacZ images were acquired on an Olympus SZX16 microscope. Brightfield imaging was performed on an AxioObserver Z.1 microscope (Zeiss, Thornwood, NY) using a 10x/0.5 or 2.5x/0.075 objective lens and an Axiocam ICc camera (Zeiss). Images were collected and stitched, where applicable, using ZEN software (Zeiss). Images were processed using ImageJ, Adobe Photoshop and Adobe Illustrator. Minor adjustments for brightness, contrast and threshold were made in Adobe Photoshop and applied to the entire image. Some images were smoothed with a Gaussian blur of 0.5–1.0 pixel. Densitometry was conducted using ImageJ software. LacZ positive areas were compared with total areas using the ROI function. Data were analyzed using Graphpad Prism.
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Electronic supplementary material
Acknowledgements
We thank Blair Jenkins, Chi-Kun Tong and Theanne Griffin for helpful discussion and comments on the manuscript. We thank Ardem Patapoutian and Meaghan Loud for providing Piezo2GFP tissue samples. H&E staining and microscopy were accomplished with the support of the Herbert Irving Comprehensive Cancer Center Molecular Pathology and Confocal and Specialized Microscopy Shared Resources (P30CA013696). Confocal microscopy was performed with support from the Columbia University Skin Disease Resource-Based Center (P30AR0696325). YM was funded by T32HL120826. LFDB was funded by R25NS076445. The project was funded by R01NS105241, R01AR051219, Nestec, and the Berrie Foundation Initiative on the Neurobiology of Obesity.
Author Contributions
All authors had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Conceptualization: Y.M., E.A.L. Methodology: Y.M., E.A.L. Formal Analysis: Y.M., L.F.D.B., E.A.L. Investigation: Y.M., L.F.D.B. Resources: E.A.L. Data Curation: Y.M., E.A.L. Writing- Original Draft: Y.M. Writing-Review and Editing: E.A.L. Visualization: Y.M., L.F.D.B. Supervision: E.A.L. Project Administration: E.A.L. Funding Acquisition: E.A.L.
Competing Interests
Portions of this work were funded by NesTec.
Footnotes
Electronic supplementary material
Supplementary information accompanies this paper at 10.1038/s41598-018-28195-2.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.