Significance
The anterolateral system (ALS) is a major ascending pathway from the spinal cord that underlies perception of pain, itch, and skin temperature. It is therefore an important target for development of treatments for chronic pain. Our understanding of this system has been hampered by the considerable diversity of its constituent cells. Here, we dissect the complex heterogeneity of a major subset of these cells, using high-resolution RNA sequencing. We reveal five distinct types of ALS neurons, which are differentially distributed within the spinal cord and probably represent functional populations. Our data provide insights into the molecular architecture of the ALS and will be important for future studies to define the roles of different ALS cell types in sensory processing.
Keywords: ALS projection neuron, spinal cord, pain, temperature sensation
Abstract
The anterolateral system (ALS) is a major ascending pathway from the spinal cord that projects to multiple brain areas and underlies the perception of pain, itch, and skin temperature. Despite its importance, our understanding of this system has been hampered by the considerable functional and molecular diversity of its constituent cells. Here, we use fluorescence-activated cell sorting to isolate ALS neurons belonging to the Phox2a-lineage for single-nucleus RNA sequencing. We reveal five distinct clusters of ALS neurons (ALS1-5) and document their laminar distribution in the spinal cord using in situ hybridization. We identify three clusters of neurons located predominantly in laminae I–III of the dorsal horn (ALS1-3) and two clusters with cell bodies located in deeper laminae (ALS4 and ALS5). Our findings reveal the transcriptional logic that underlies ALS neuronal diversity in the adult mouse and uncover the molecular identity of two previously identified classes of projection neurons. We also show that these molecular signatures can be used to target groups of ALS neurons using retrograde viral tracing. Overall, our findings provide a valuable resource for studying somatosensory biology and targeting subclasses of ALS neurons.
The anterolateral system (ALS) is a major pathway that transmits somatosensory information from the spinal cord to the brain and is crucial for pain, itch, and the perception of skin temperature (1–3). Disruption of the ALS, both physically through anterolateral cordotomy (4) and chemically using targeted toxins (5), results in effective pain relief. Neurons of the ALS therefore represent an attractive target for novel therapeutics. These cells are located in various regions of the spinal cord, with the highest density in lamina I and the lateral spinal nucleus (LSN). Other ALS cells are scattered throughout the deep dorsal horn, ventral horn, and the area around the central canal (1, 2, 6). Neurons of the ALS project extensively throughout the brain, where they engage nociceptive circuits (7). Their major targets include the thalamus, periaqueductal gray matter, lateral parabrachial area (LPb), and caudal ventrolateral medulla. Despite their importance as the main pain-related ascending output from the spinal cord, ALS neurons are vastly outnumbered by interneurons since projection neurons only account for ~1% of spinal neurons (8).
There have been many attempts to classify ALS neurons. Early studies examined a variety of parameters, including morphology, projection target, and physiological properties. For example, electrophysiological recording from antidromically identified projection neurons in animals of various species, mostly under general anesthesia, revealed a wide variety of response properties. The majority of these studies have emphasized convergence of multiple modalities (mechanical, thermal, and pruritic), onto individual ALS neurons, although with marked differences in the responses of individual cells to different stimuli. However, there is also evidence that some cells have more restricted types of input and may represent labeled lines. In particular, it has been suggested that while most lamina I ALS cells are activated by noxious thermal and/or mechanical stimuli (9, 10), some respond preferentially or exclusively to skin cooling (9, 11–14). There is also evidence that for ALS neurons in the deep dorsal horn, the response properties depend on the laminar location of dendritic arbors (15). One of the main points to emerge from these studies is the functional heterogeneity among ALS neurons.
More recently, attempts have been made to identify genetic markers that are selective for ALS neurons. Transcriptomic studies have revealed widespread expression of Lypd1 and Zfhx3 among these cells (16–18). In addition, it has been shown that within the spinal cord, developmental expression of the transcription factor Phox2a is restricted to ALS neurons and captures cells in both superficial and deep dorsal horn. This allows ALS neurons to be targeted through mouse genetics (19–21). Furthermore, recent studies have proposed molecular signatures for distinct functional populations within the ALS. These have led to the identification of potential marker genes, including Tac1, Tacr1, Gpr83, Cck, Nptx2, Crh, and Nmb (22–24). Despite these advances, there is no unbiased, unifying, classification scheme that describes the organizational logic of the ALS. Here, we used a transgenic approach to isolate Phox2a-dependent ALS neurons for single-nucleus RNA sequencing (snRNAseq). Our results reveal 5 distinct populations, demonstrating fundamental transcriptional subdivisions within the ALS. These findings should advance our knowledge of how coordinated activity in this system leads to complex multidimensional percepts such as pain.
Results
Single-Nucleus Sequencing of Phox2a-Lineage Neurons.
In order to isolate and sequence Phox2a-derived ALS neurons, we first crossed the Phox2a::Cre mouse line with the Cre-dependent Sun1-GFP reporter mouse (Fig. 1A). This resulted in nuclear GFP labeling of Phox2a-lineage neurons in the dorsal horn with a laminar distribution pattern as expected from previous reports (SI Appendix, Fig. S1A). Nuclei were isolated from 16 mice in total, 8 of which had undergone left-sided spared nerve injury (SNI), 8 d prior to tissue harvest. The SNI animals were included to assess whether substantial transcriptional changes could be identified within projection neurons in a neuropathic pain state. Equal numbers of male and female animals were included in each group. Spinal cords were removed and the entire left dorsal horn of the L4 segment was dissected rapidly and frozen on dry ice. Phox2a-GFP nuclei were isolated from the frozen spinal cord tissue using hypotonic cell lysis followed by fluorescence-activated cell sorting (FACS). We used DRAQ7 staining to isolate nuclei from debris and then gated based on GFP fluorescence (SI Appendix, Fig. S1 B and C). Nuclei positive for GFP were rare, generally representing <0.2% of all nuclear events passing through the sorter, as expected from the low proportion of spinal neurons that belong to the ALS.
Single Phox2a-GFP nuclei from the 16 animals were sorted into 96-well plates, with one nucleus per well, using a balanced plate layout that included nuclei from both sexes and conditions (SNI and naive) on each plate (SI Appendix, Fig. S1D). Four plates were submitted for single-nucleus RNA sequencing and libraries were prepared using Smart-seq2 (SI Appendix, Fig. S1E). Libraries were sequenced to a depth of approximately 1 million reads per nucleus. Reads were pseudoaligned using Kallisto (25) and further analysis was conducted using Seurat (26) in R. Initial quality control involved discarding data from nuclei with fewer than 5,000 unique genes detected, and the removal of a small cluster of oligodendrocyte nuclei, based on expression of the Mog gene (SI Appendix, Fig. S1F). Data from a total of 206 Phox2a-GFP nuclei, with a mean number of unique genes detected of 10,500 per nucleus, were included in further analysis (SI Appendix, Fig. S1G). No major differences in quality metrics were evident between plates, sexes, or conditions (SI Appendix, Fig. S1 H–J). Phox2a-GFP nuclei expressed high levels of the neuronal marker Meg3 and the vesicular glutamate transporter Slc17a6 (Fig. 1B). There was little to no expression of the inhibitory neuronal markers Slc32a1 and Gad1 (SI Appendix, Fig. S1K). Therefore, the Phox2a-GFP nuclei sequenced here are all likely to be from excitatory neurons, as expected for cells belonging to the ALS. Many of the nuclei also expressed previously proposed markers of ALS neurons and ALS neuron subclasses such as Lypd1, Tacr1, and Tac1 (Fig. 1B and SI Appendix, Fig. S2).
ALS Neuron Subclasses Are Defined by Unique Molecular Features.
We first examined the gross structure of clusters based on UMAP projections and compared naive and SNI, and male and female animals. We observed no difference in cluster structure between these groups (SI Appendix, Fig. S3 A and B). We also conducted a pseudobulk differential gene expression analysis to detect genes that may have been up-regulated or down-regulated in neuropathic pain specifically in nuclei of ALS cells. We did not detect any significant changes in gene expression, including that of immediate early genes, following SNI (SI Appendix, Fig. S3 C–E). Based on these findings, all 206 nuclei were pooled for subsequent analysis.
Within the sequenced nuclei, 5 clusters were evident, and we named these ALS1-5 (Fig. 1C). Each cluster was defined by distinct patterns of gene expression (Fig. 1D). The ALS1 cluster is marked by expression of Neuromedin U (Nmu) but also, interestingly, showed selective expression of several other genes previously implicated in pain and sensory processing. These genes included neuropeptide Y receptor 1 (Npy1r), tachykinin receptor 3 (Tacr3), the α2a adrenoceptor (Adra2a), and neuropeptide FF receptor 2 (Npffr2). The ALS2 cluster was defined by expression of BAI1 Associated Protein 3 (Baiap3) and the Fxyd6 gene. The expression of Cdh12 and Hs3st1 marked the ALS3 cluster, although Cdh12 expression was also common, albeit at a lower level, in the ALS2 cluster. The ALS3 cluster also contained cells that express the calcium-binding proteins Necab2 and Calb1. Moreover, we noted a differential distribution of Gria1 and Gria4, which code for the ionotropic glutamate receptor subunits GluA1 and GluA4, among the ALS1-3 clusters (SI Appendix, Fig. S4A). The ALS4 and ALS5 clusters were closely related and shared the expression of several genes including the glycine receptor α1 subunit (Glra1) and the GABAA receptor α1 subunit (Gabra1) (SI Appendix, Fig. S4B). However, many genes were also differentially expressed in these clusters. The ALS4 cluster was marked by expression of Gpr88 and Ecel1 but also showed expression of the Slc28a2 transporter, the peptide somatostatin (Sst), and corticotrophin-releasing hormone (Crh) (Fig. 1D and SI Appendix, Fig. S2). Finally, the ALS5 cluster was defined by expression of Erbb4 and Onecut2, and nuclei in this group also showed enriched expression of genes such as ionotropic glutamate receptor subunit 3 (Gria3) and proenkephalin (Penk).
The deep-sequencing approach employed here demonstrates the differential expression of transcripts across the separate clusters of Phox2a-lineage ALS neurons, and this may give insights into function. To better understand patterns of gene expression across clusters, we cross-referenced genes from the top 2,000 variable features of our dataset with known databases of pain genes, peptides, G-protein-linked receptors, and both voltage- and ligand-gated ion channels. Dot plots showing the proportion of cells expressing each gene within each cluster and the normalized expression level were generated (SI Appendix, Fig. S5). We also sought to align our single-nucleus data with existing sequencing data from the mouse dorsal horn. We integrated our data with cells sequenced by Haring et al. (16) and with a harmonized atlas of dorsal horn neurons (18). However, in both cases, our nuclei did not align closely to any class of cells (SI Appendix, Fig. S6). There was no close relationship between our nuclei and the Glut15 (16) and Excit-21 (18) classes, respectively, which have been proposed as those that contain projection neurons. This was likely due to the predicted rarity of ALS neurons within existing datasets, and to stark differences in technical approaches employed between these previous studies and ours.
Spatial Validation of ALS Neuron Clusters.
The cell bodies of ALS neurons are present in multiple areas of the dorsal horn. They are concentrated in lamina I but are also scattered throughout deeper laminae. It has been suggested that the laminar location, in particular the distinction between deep and superficial cells, underlies differing functional roles of ALS neurons in pain (2, 27). We sought to confirm patterns of gene expression within the five clusters, and determined their laminar distribution, using multiplexed RNAscope in situ hybridization (Fig. 2A). We selected a panel of five marker genes to distinguish the clusters: Nmu, Baiap3, Cdh12, Gpr88, and Erbb4. These were chosen because their expression patterns were largely nonoverlapping (SI Appendix, Fig. S7A). Although these genes distinguished ALS clusters based on our sequencing findings, they are also widely expressed in other cells in the dorsal horn. The expression patterns of each marker across the dorsal horn are shown in SI Appendix, Fig. S7 B–F.
We conducted our analyses using lumbar spinal cord tissue from four Phox2a::Cre;Ai9 mice, in which Phox2a-lineage neurons are labeled with TdTomato (19, 21). We hybridized sections with probes against TdTomato and one of three separate marker pairs: Nmu/Cdh12, Baiap3/Cdh12, and Gpr88/Erbb4. We used 12 dorsal horn sections per animal for each pair of markers. For each section, Phox2a cells were identified using low-magnification confocal scans of the TdTomato channel (Fig. 2 B–F). The laminar locations of the Phox2a cells were plotted onto outlines of the dorsal horn based on darkfield confocal scans that were acquired simultaneously. The transcriptional identity of each Phox2a cell was then recorded, based on higher magnification scans of the marker gene and TdTomato in situ hybridization signals for each individual Phox2a neuron.
Phox2a neurons belonging to the ALS1 class were identified by the expression of Nmu (Fig. 2B). As predicted by the sequencing data, cells in this class did not coexpress Cdh12. They represented 16% of all Phox2a neurons (SI Appendix, Fig. S8A) and were distributed in lamina I, but also across laminae II-IV of the dorsal horn (Fig. 2A). The ALS2 and ALS3 clusters were identified using probes against Baiap3 and Cdh12 (Fig. 2 C and D and SI Appendix, Fig. S9). Cluster allocation was based on the highly specific expression of Baiap3 in ALS2 neurons, together with high expression of Cdh12 in ALS3 and lower expression in some ALS2 cells (SI Appendix, Figs. S7A and S8B). Based on our in situ analysis, cells in ALS2 and ALS3 each comprised 21% of all Phox2a neurons (SI Appendix, Fig. S8B) and were located mainly in lamina I (Fig. 2 A, C, and D). The ALS4 and ALS5 clusters were identified in situ using probes against Gpr88 and Erbb4, respectively (Fig. 2 E and F). Gpr88 was restricted to cells in ALS4, while Erbb4 was found in all ALS5 cells and at lower levels in some of those belonging to ALS4. These clusters accounted for 16% (ALS4) and 26% of all Phox2a neurons counted (SI Appendix, Fig. S8C). Cells belonging to both these clusters occupied the deeper laminae of the dorsal horn. ALS4 cells were highly concentrated in the lateral reticulated part of lamina V, with ALS5 cells scattered more broadly across the deeper laminae of the gray matter, both in lamina V and around the central canal (Fig. 2 E and F). In summary, the identified neuronal types displayed distinct laminar distributions (Fig. 2A), suggesting that the location of ALS neurons is dependent on their transcriptional identity.
The ALS1 Cluster Includes a Previously Recognized Class of ALS Neurons Known As Antenna Cells.
Based on the laminar distribution of cells within the ALS1 cluster, we suspected that these cells might include a previously identified class of ALS neurons known as antenna cells (28, 29), which are captured in the Phox2a::Cre mouse line (20). These cells are located in laminae II-V and have extensive dendritic trees that reach lamina I. Antenna cells are also distinctive as they receive dense synaptic input from bundles of peptidergic nociceptors (20, 30).
We tested the hypothesis that cells belonging to the ALS1 cluster included antenna cells by using a combined in situ hybridization and immunohistochemistry approach (ISH/IHC). In sagittal sections of the lumbar spinal cord from three Phox2a::Cre;Ai9 mice, we identified antenna cells by immunostaining for TdTomato and the peptidergic nociceptor marker CGRP. This was conducted alongside in situ hybridization with a probe against Nmu (Fig. 3). As expected, Nmu was detected in a large number of lamina II interneurons (16). In this tissue, we identified 29 (26–34) antenna-type ALS cells per animal, based on the characteristic pattern of contacts from CGRP-immunoreactive axons (20). The vast majority of these (94%, 92 to 97%) also expressed Nmu. In addition, we identified a small number of non-antenna ALS cells in lamina I that expressed Nmu. We counted 15 (11–19) of these cells per animal, representing only 11% (9 to 13%) of all lamina I Phox2a-TdTomato cells. Antenna cells outnumbered the lamina I Nmu+ Phox2a-TdTomato cells by a ratio of 1.9:1 (1.7-fold to 2.2-fold). We also observed qualitatively that the Nmu+ lamina I ALS cells were located deeper in this lamina than other Phox2a-TdTomato cells, and that they often had ventrally directed dendrites. In some cases, these were associated with CGRP axons (12) (SI Appendix, Fig. S10). These data suggest that the ALS1 cluster includes the previously identified class of ALS neurons known as antenna cells and that these cells have a rarer transcriptionally related counterpart in lamina I.
Cells within the ALS3 Cluster Receive Preferential Input from TRPM8-Expressing Thermoreceptors and Include Putative “Cold-Selective Cells”.
There is considerable evidence that a subpopulation of lamina I ALS cells respond selectively to skin cooling (9, 11–14, 31). We looked for an anatomical approach to identify these cells that could be combined with the detection of molecular markers through in situ hybridization. The cold-selective cells are thought to be innervated by cold-sensing primary afferents that express the TRPM8 channel (11). We therefore injected AAV.mCherry into the LPb of Trpm8Flp;RCE:FRT mice, in which TRMP8 afferents express GFP. In horizontal sections, we noted that TRPM8 afferents formed interweaving bundles in lamina I and that these did not occupy the entire area of the lamina. We found that some mCherry-labeled lamina I ALS neurons received numerous contacts from TRPM8 afferents. For these cells, the afferents typically surrounded the cell body and extended along the dendrites (Fig. 4A). In the L4 segments of four mice, the neurons with dense innervation from TRPM8 afferents accounted for 21% (17.6 to 29.7%) of all mCherry-labeled lamina I ALS cells. We also observed that the remaining retrogradely labeled lamina I neurons received relatively few or no contacts from TRPM8 boutons. To confirm the dichotomy between the cells with dense TRPM8 input and the remaining lamina I projection neurons, we quantified the proportion of excitatory synaptic input from TRPM8 afferents onto ALS cells. We reconstructed a total of 20 lamina I ALS neurons, 10 of which had been identified as densely innervated, and 10 as not densely innervated. We identified an average of 159 excitatory synapses (range 43 to 320) per cell, by examining immunostaining for the postsynaptic density protein Homer (SI Appendix, Fig. S11). For those cells classified as densely innervated, the proportion of excitatory synapses originating from TRPM8 (GFP-positive) boutons was 62%, and this was considerably higher than for cells without dense TRPM8 innervation, for which this figure was only 6% (SI Appendix, Fig. S11A). Furthermore, by generating the more complex Trpm8Flp;RCE:FRT;Phox2a::Cre;Ai9 cross, we were able to confirm that Phox2a-positive lamina I cells were included among those that were densely innervated by TRPM8 afferents (SI Appendix, Fig. S12).
Hachisuka et al. (11) reported that the cold-selective ALS cells responded weakly, if at all, to substance P, suggesting that they express low levels of mRNA for the cognate receptor, Tacr1. Among the two remaining lamina I clusters (ALS2 and ALS3), cells in ALS3 showed a lower incidence of Tacr1 expression (Fig. 1B), and we therefore asked whether these neurons corresponded to those with dense TRPM8 input. To test this, we analyzed tissue from 3 Trpm8Flp;RCE:FRT mice that had received injections of AAV.mCherry into the LPb. Horizontal sections from lamina I were reacted with antibodies against GFP and mCherry, following in situ hybridization with probes against Hs3st1, as a marker of ALS3 neurons. For these experiments, we chose Hs3st1 (rather than Cdh12) to identify ALS3 cells as it is highly restricted to cells in this cluster.
We identified an average of 93 (range 64 to 133) mCherry+ lamina I ALS neurons per animal. Each cell was graded with respect to TRPM8 inputs by an assessor who was unaware of the Hs3st1 transcript levels. Cells that had a sufficient length of dendrite in the section were graded as densely TRPM8 innervated or not densely innervated. Hs3st1 transcript levels per cell were then recorded as absent, low (5 to 15 transcripts per cell), or high (>15 transcripts per cell) by a second observer, who was unaware of the classification by TRPM8 input. We identified 26 (19–40) neurons with dense TRPM8 input per animal, representing 27% (23 to 31%) of all mCherry+ ALS cells in lamina I, and found that 91% (89 to 93%) of these cells were positive for Hs3st1 (Fig. 4 B and C). Among those cells that lacked dense TRPM8 input only 25% were positive for Hs3st1 and notably, the expression level of Hs3st1 in these cells was lower (Fig. 4C). Taken together, these findings strongly suggest that the ALS3 cluster includes the cold-selective lamina I projection neurons identified in previous studies.
Noxious Heat Preferentially Activates ALS2 Cells in Lamina I.
Previous studies have shown that most lamina I projection neurons are activated by noxious stimuli, including temperatures of 50 °C or more (9, 10). Since the great majority of lamina I Phox2a cells can be assigned to the ALS2 and ALS3 clusters, and the ALS3 class likely includes cold-selective cells, we looked for evidence that ALS2 cells respond to noxious stimuli. We chose a noxious heat protocol, as this can be applied to a large area of hindpaw skin, and results in robust Fos expression. We immersed the left hindpaw of 4 anesthetized Phox2a::Cre;Ai9 mice in 52 °C water for 15 s and removed spinal cords after 30 min. Horizontal sections through lamina I from the L4 and L5 segments were processed for in situ hybridization with probes against tdTomato and Fos, together with a probe against Baiap3 as a marker for the ALS2 population.
We observed numerous Fos-positive cells in lamina I on the side ipsilateral to the stimulus, but not on the contralateral side, while tdTomato-positive cells were seen in this lamina on both sides (SI Appendix, Fig. S13A). Approximately 55% (51 to 59%) of tdTomato-positive cells were also Baiap3-positive. On the ipsilateral side, Fos mRNA was seen in many tdTomato-negative cells, but also in 48% (42 to 56%) of tdTomato-positive Phox2a cells. Among the Baiap3-positive Phox2a cells, 60% (56 to 67%, n = 4) were Fos-positive, while for the Baiap3-negative Phox2a cells, this proportion was 31% (22 to 40%, n = 4), and this difference was statistically significant (P = 0.001; t test; SI Appendix, Fig. S13B). Furthermore, we quantified Fos mRNA transcripts in both Baiap3-positive and negative Phox2a cells and found that the expression levels of Fos were significantly higher in the former (P = 0.001; t test; SI Appendix, Fig. S13C). These results are consistent with the suggestion that ALS2 cells respond to noxious stimuli.
Molecular-Genetic Retrograde Tracing Allows Targeting of Specific Clusters of ALS Neurons.
Finally, we asked whether subpopulations of ALS neurons could be targeted selectively by using mouse genetics and retrograde viral tracing (Fig. 5). Mouse lines in which Cre-recombinase expression is driven by the marker gene of interest received injections of AAVs encoding Cre-dependent constructs into the LPb to specifically label subsets of projection neurons. We used two well-established lines in which Cre is knocked into either the somatostatin or the cholecystokinin locus (SstCre and CckCre) (32).
Although somatostatin is widely expressed in excitatory interneurons in the dorsal horn of the spinal cord (33, 34), our data show that it is also seen at high levels in the ALS4 cluster, for which it represents a highly selective marker (Figs. 1D and 5 F and I). Specifically, 88% of ALS4 cells express Sst, with an expression level that is considerably higher than that seen in the remaining clusters (log2-fold change = 3.8, P-adjusted = 2.74 × 10−9, Fig. 5 F and I). Cells in ALS4 have a restricted distribution, with cell bodies in lateral lamina V (Fig. 2A). In order to verify that somatostatin was expressed in ALS cells in this region, we first performed immunohistochemistry for the peptide in spinal cord sections from two Phox2a::Cre;Ai9 mice. These animals had received injections of cholera toxin subunit B (CTb) into the LPb, thereby allowing identification of both Phox2a-positive and Phox2a-negative projection neurons (19). We observed somatostatin labeling in 54% of CTb-labeled lateral lamina V projection neurons (Fig. 5 A–D) and a similar proportion of those within the Phox2a subset (48%) (SI Appendix, Table S1). This proportion was considerably higher than for projection neurons in other areas of the cord in which somatostatin immunoreactivity was observed in approximately 9% of cells (SI Appendix, Table S1).
We then injected AAV.flex.TdTomato into the right LPb of two SstCre mice, to label somatostatin-expressing ALS neurons (Fig. 5E). As predicted, we found that the cell bodies of these neurons were located predominantly in lateral lamina V. Interestingly, similar numbers of retrogradely labeled neurons were found on the sides contralateral and ipsilateral to the brain injection (Fig. 5 G and H). This suggests that the supraspinal projection pattern of somatostatin-expressing ALS neurons differs from that of most other ALS cells, which project mainly to the contralateral side (1, 2, 6).
We also compared the distribution of retrogradely labeled somatostatin-positive ALS neurons with those labeled using the same approach in a CCKCre mouse line. In contrast to Sst, Cck is found in Phox2a cells in most clusters, apart from ALS2 (Figs. 1D and 5 F and L). As expected (based on the laminar distribution of cells in ALS1 and ALS3-5; Fig. 2A), TdTomato-labeled neurons were located throughout the dorsal horn and these cells were far more numerous on the side contralateral to the LPb injection (Fig. 5 J and K). In summary, our findings based on molecular genetic retrograde tracing support our sequencing and in situ hybridization data by recapitulating predicted cluster distributions in vivo.
Discussion
Our main findings are that ALS projection neurons belonging to the Phox2a-lineage can be divided into five discrete transcriptomic clusters and that these are differentially distributed across the dorsal horn. Two of these clusters, ALS1 and ALS3, appear to include well-recognized functional populations, antenna cells in laminae II-V and cold-selective lamina I neurons, respectively. We also provide a comprehensive molecular dataset that will allow identification of genes of interest across distinct ALS subclasses.
Lack of Evidence for Changes Following Nerve Injury.
In first-order neurons, peripheral nerve injury causes a dramatic transcriptional response, leading to loss of cell identity (35). There is also evidence for more modest changes affecting spinal projection neurons (36, 37). We therefore took the opportunity to look for altered gene expression in projection neurons in the L4 segment, which is within the region affected by SNI. However, we did not find any differences, either in gross cluster structure or in pseudobulk gene expression, between conditions. The study was not powered to look for transcriptional changes in each of the clusters individually, or indeed to detect small fold-changes in lowly expressed genes (e.g., GPCRs). However, now that we have identified clusters among the ALS cells, it may be possible in future to isolate distinct cell types and definitively address whether transcriptional changes occur in neuropathic pain states.
Phox2a-Lineage ALS Cells.
Developmentally, the transcription factor Phox2a is expressed by a subset of those dI5-lineage spinal neurons that project to the brain (17). Transient expression of Phox2a therefore defines a population of projection neurons, and importantly, cells captured by the Phox2a::Cre line are thought to belong exclusively to the ALS (19–21). However, several groups of ALS neurons are underrepresented. Specifically, the Phox2a::Cre;Ai9 cross-captures up to 60% of the ALS neurons in lamina I, most (if not all) of the antenna cells, but very few of those in the LSN. In the deep dorsal horn, up to 25% of spinoparabrachial cells are labeled (19–21). The ALS cells that are not detected in crosses involving the Phox2a::Cre mouse may belong to other populations that do not depend on Phox2a expression, or result from incomplete capture of Phox2a-lineage neurons in this BAC transgenic line. It is therefore difficult to predict the extent to which the classification scheme proposed here would extend to the entire ALS. It is very likely that non-Phox2a lineage cells would belong to different clusters. However, it is also conceivable that despite their different developmental origins, ALS neurons undergo a convergence of transcriptional phenotype in the adult such that these would map onto the clusters that we have identified.
Although cells belonging to 4 of the clusters (ALS1-4) show a relatively restricted spatial distribution, ALS5 includes cells in the lateral part of lamina V as well as those near the central canal, and these presumably represent functionally discrete populations. Sequencing a larger number of cells may therefore reveal further subdivisions, particularly among cells in ALS5. Overall, it is likely that future studies will reveal an even greater number of discrete subpopulations within the ALS, reflecting the functional diversity of this system.
Relation to Previously Defined ALS Neurochemical Populations.
The neurokinin 1 receptor (NK1r), encoded by Tacr1, has long been regarded as a marker for a large subset of ALS neurons, particularly those in lamina I (38, 39). However, its usefulness for defining functional subsets has been questioned, due to its widespread expression among projection neurons (2). Consistent with this, we show that Tacr1 is expressed to varying degrees among each of our clusters, albeit at lower levels in ALS3 and ALS5. More recently, Choi et al. (23) proposed that lamina I ALS cells could be assigned to largely nonoverlapping classes defined by expression of Tacr1 or Gpr83. Although we see Gpr83 in each of our clusters, cells with this mRNA are infrequent, presumably due to low levels of expression, and the failure to detect these transcripts with nuclear sequencing. Another gene that has been identified in subsets of ALS neurons is Tac1, which was found in ALS neurons in several regions of the dorsal horn (22, 40). Consistent with this, we find Tac1 expressed in all of our clusters.
As far as we are aware, the only previous study to employ RNA sequencing to investigate heterogeneity within the ALS was that of Wercberger et al. (24), who used a retro-TRAP (translating ribosome affinity purification) technique to identify candidate projection neuron genes. They noted an extensive molecular diversity of spinoparabrachial neurons and proposed Cck, Nptx2, Nmb, and Crh as markers of distinct molecular subsets. We were able to demonstrate expression of all four of these mRNAs in our dataset, with certain clear patterns in relation to the clusters. Although expression of Nptx2 or Nmb was seen broadly across our clusters, both Cck and Crh had a more restricted distribution. Specifically, Cck was present in all clusters apart from ALS3, and this is consistent with the in situ hybridization data of Wercberger et al. (24), which showed expression in both deep and superficial laminae. Crh displayed a more restricted pattern, being present mainly in the ALS4 cluster, with a few cells in ALS2.
Unbiased Clustering As a Means to Define Functional Populations within the ALS.
Somatosensory information is processed through circuits involving primary afferents, dorsal horn interneurons, and ALS projection neurons (6). Recent advances in the classification of the afferents (41, 42) and interneurons (16, 18) by unbiased RNA sequencing have revolutionized our understanding of these components. However, despite the known heterogeneity of ALS cells, until now we have lacked equivalent insight into the molecular architecture of this system. In turn, this has hindered attempts to define the complex synaptic circuitry underlying pain, itch, and temperature sensation.
The functional relevance of the classification scheme proposed here is supported by the spatial separation between cells belonging to the clusters, as well as by the alignment of two of the clusters (ALS1 and ALS3) with previously identified functional populations. Most cells in ALS1 were located in laminae II–IV, and based on their location and their close association with peptidergic nociceptors, these were identified as antenna cells. These cells are remarkably homogeneous in both their morphology and synaptic inputs and have been shown to respond to mechanical, thermal, and chemical noxious stimuli (43). In addition to receiving input from peptidergic nociceptors, they are also densely innervated by NPY-expressing inhibitory interneurons (20, 30, 44, 45). Interestingly, cells in this cluster showed robust expression of the NPY1 receptor (Npy1r), suggesting a microcircuit with a possible role in NPY-mediated analgesia (46). It has been proposed that both antenna cells and lamina I Phox2a cells share a common birthdate and migration pattern (21). Our finding that antenna cells have a transcriptomic counterpart in lamina I raises the possibility that the ALS1 cells in lamina I originate from the same population, but have failed to migrate ventrally.
The cold-selective cells, which are likely to be included in our ALS3 cluster, are a well-recognized population among lamina I ALS neurons (9, 11, 13, 14), and may represent a labeled line for cold sensation (47). With the exception of these cells, ALS neurons in lamina I are thought to respond to a variety of thermal and mechanical noxious stimuli (2, 9), with some also being activated by stimuli that cause itch (48, 49). The ALS2 population is therefore likely to consist mainly of nociceptive cells, some of which may be activated by pruritic stimuli. Consistent with a role for these cells in nociception, we show that noxious heat preferentially activates Baiap3-positive (presumed ALS2) Phox2a cells in lamina I. Our finding that some Baiap3-negative Phox2a cells also expressed Fos (albeit at a lower level) in response to noxious heat could be partially explained by the presence of some ALS1 cells in this sample. In addition, it has been shown that some cold-selective lamina I cells (presumably belonging to ALS3) respond weakly to noxious heat (9). This in turn may be explained by the expression of Trpv1 by a subset of Trpm8 afferents, and the resultant responsiveness of these afferents to heat applied to the skin (50).
We previously identified differential expression patterns for synaptic AMPA receptor subunits on ALS neurons in laminae I–IV, with GluA1 and GluA4 subunits showing a nonoverlapping distribution at excitatory synapses on these cells (51, 52). GluA4 (encoded by Gria4) was expressed by the antenna cells and by large lamina I ALS cells, whereas GluA1 (encoded by Gria1) was found exclusively on smaller ALS cells in lamina I. Consistent with this, we find that cells in ALS1 (which includes the antenna cells) showed relatively strong expression of Gria4. This also suggests that the lamina I component of ALS1 includes some of the large lamina I ALS cells that express GluA4. Cells in ALS2 and ALS3 show relatively high Gria1 expression and probably correspond to the smaller lamina I ALS cells with synaptic GluA1 receptors.
Compared to superficial ALS neurons, much less is known about those in deeper laminae. In contrast to the predominantly nociceptive-specific cells in lamina I, these cells are thought to have wide dynamic range (WDR) receptive fields, responding to both noxious and innocuous stimuli (27), and activity in these deep ALS neurons is sufficient to evoke pain in humans (53, 54). Again, some of these cells are activated by itch-inducing stimuli (48, 49). Notably, our analysis clearly separates these from lamina I and antenna ALS cells and reveals two separate classes, ALS4 and ALS5. Certain genes were differentially expressed between these and the more superficial clusters. Erbb4 was present in both of the deep clusters, consistent with the findings of Wang et al. (55), who identified Cre+ projection cells in the deep (but not superficial) dorsal horn in Erbb4CreERT2 mice. Glycine, rather than GABA, is the main fast inhibitory transmitter in the deep dorsal horn (56), and we found that Glra1 (which codes for the glycine receptor α1 subunit) was largely restricted to cells in ALS4 and ALS5. The GABAA receptor α1 subunit is excluded from the SDH (57), and the corresponding mRNA (Gabra1) was seldom seen in the ALS1-3 clusters.
Most cells in the ALS4 cluster were found in a lateral region corresponding to the reticulated part of lamina V (58). Many of these cells expressed Sst and this is of interest given the proposed role of somatostatin-expressing spinal neurons in mechanical pain and pruritogen-evoked itch. Duan et al. reported that ablation of somatostatin-expressing spinal neurons resulted in loss of acute mechanical pain and a dramatic reduction of both dynamic and static mechanical allodynia in neuropathic and inflammatory models (33). In a subsequent study, it was reported that this ablation significantly attenuated scratching evoked by a variety of pruritogens (59). These findings were attributed to loss of excitatory interneurons in SDH, most of which express somatostatin (34). However, our finding that Sst is also expressed in the ALS4 cluster raises the possibility that loss of projection neurons may have contributed to the behavioral phenotype seen following ablation of somatostatin-expressing cells.
Overall, our results provide important insights into the molecular logic of the ALS, which will facilitate targeting of specific populations and manipulation of their activity in vivo. Combining these approaches with recent advances in the study of mouse behavior (60–62) should allow resolution of longstanding controversies, such as the existence of labeled lines, and the relative contribution of deep versus superficial projection neurons to different aspects of the pain experience (1–3).
Materials and Methods
All experiments were carried out in accordance with the UK Animals (Scientific Procedures) Act 1986 and adhered to ARRIVE guidelines. This study used Phox2a::Cre mice crossed with a Sun1-GFP reporter line to extract nuclei for sequencing. Further crosses of Phox2a::Cre mice with the Ai9(RCL-tdT) reporter line were used for identification of Phox2a-lineage cells using in situ hybridization and immunohistochemistry. Nuclei were isolated using hypotonic lysis followed by FACS. Single-nucleus RNA libraries were prepared using Smart-seq2, and data analysis was conducted using Seurat (26). In situ hybridization was performed using RNAscope multiplex v2 kits and appropriate probes. Where combined in situ hybridization/immunohistochemistry was used, ISH was conducted first. Transgenic mice, experimental procedures, viruses, antibodies, and probes and are described in SI Appendix, Methods.
Supplementary Material
Acknowledgments
This research was funded in whole, or in part, by the Wellcome Trust (Grant numbers 219433/Z/19/Z and 204820/Z/16/Z), the Medical Research Council (Grant numbers MR/T01072X/1, MR/V033638/1, MR/W004739/1, and MR/W002426/1), the Biotechnology and Biological Sciences Research Council (BB/S017178/1), the Academy of Medical Sciences (Grant number SGL025\1079), and the Medical Research Foundation (MRF-160-0015-ELP-DENK-C0844). We acknowledge support from the Biotechnology and Biological Sciences Research Council (BBSRC), part of UK Research and Innovation, Core Capability Grant BB/CCG1720/1, and the National Capability Grant BBS/E/T/000PR9816. This work was supported by the intramural research program of the NIDCR, NIH, project ZIADE000721-22. We acknowledge the assistance of Diane Vaughan, School of Infection and Immunity Flow Cytometry Facility at the University of Glasgow. We are grateful to Brian Roome and Sara Villa-Hernandez for helpful discussion, to Oscar Marin Parra and Eleanor Paul for sharing CckCre and SstCre mice, to Ariel Levine for sharing data, and to Robert Kerr and Iain Plenderleith for expert technical assistance. For the purpose of Open Access, the authors have applied a CC BY public copyright license to any Author Accepted Manuscript version arising from this submission.
Author contributions
A.M.B., K.B., I.C.M., F.D., and A.J.T. designed research; A.M.B., C.U., A.C.D., M.W.K., R.Q., A.N.B.R., A.H.C., J.H., and G.A.W. performed research; A.M.B., M.W., A.K., M.A.H., and I.C.M. contributed new reagents/analytic tools; A.M.B., R.Q., M.G.-M., A.N.B.R., Y.L., and F.D. analyzed data; and A.M.B. and A.J.T. wrote the paper.
Competing interests
The authors declare no competing interest.
Footnotes
This article is a PNAS Direct Submission. S.L.P. is a guest editor invited by the Editorial Board.
Data, Materials, and Software Availability
Sequencing data are available to browse via the Broad Institute single-cell portal (63). Raw sequencing data, aligned counts, and the Seurat object are available to download from the Gene Expression Omnibus under accession number GSE240528 (64). This study did not generate new unique reagents or software.
Supporting Information
References
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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
Sequencing data are available to browse via the Broad Institute single-cell portal (63). Raw sequencing data, aligned counts, and the Seurat object are available to download from the Gene Expression Omnibus under accession number GSE240528 (64). This study did not generate new unique reagents or software.