Summary
The anterolateral pathway consists of ascending spinal tracts that convey pain, temperature and touch information from the spinal cord to the brain1–4. Projection neurons (PNs) of the anterolateral pathway are attractive therapeutic targets for pain treatment because nociceptive signals emanating from the periphery channel through these spinal PNs en route to the brain. However, the organizational logic of the anterolateral pathway remains elusive. Here, we show that two PN populations that express structurally related GPCRs, TACR1 and GPR83, form parallel ascending circuit modules that cooperate to convey tactile, thermal and noxious cutaneous signals from the spinal cord to the lateral parabrachial nucleus of the pons (PBNL). Axons of Tacr1- and Gpr83-expressing spinoparabrachial (SPB) neurons innervate distinct sets of PBNL subnuclei, and strong optogenetic stimulation of their axon terminals induces distinct escape behaviors and autonomic responses. Moreover, Gpr83-expressing SPB neurons are highly sensitive to cutaneous mechanical stimuli and receive strong synaptic inputs from both high- and low-threshold primary mechanosensory neurons. Remarkably, the valence associated with activation of Gpr83-expressing SPB neurons is either positive or negative depending on stimulus intensity. These findings reveal anatomically, physiologically, and functionally distinct SPB tract subdivisions that underlie affective aspects of touch and pain.
While primary sensory neurons that respond to a range of innocuous or noxious stimuli acting on the skin have been identified and characterized1,2,5, less is known about how their signals are integrated and processed within the spinal cord and conveyed via spinal PNs to the brain to underlie somatosensory perception and behavior. Here, we sought to generate mouse genetic tools for spinal cord anterolateral pathway PNs and use them for anatomical, electrophysiological, and behavioral analyses to define ascending pathways that underlie affective touch and pain.
Genetically defined spinal PN subsets
We generated a Tacr1CreERT2 knockin mouse line (Fig. 1a, Extended Data Fig. 1a2, b1–3) and found that Tacr1+ SPB neurons are Gad2-negative and represent a large subset (57.3 ± 4.7%) of the total SPB population (Extended Data Fig. 2a, b, e, f), as previously reported3,6. In addition, to identify other, novel subsets of SPB neurons, we conducted an in silico screen of BAC-GFP transgenic mouse lines from the GENSAT project7. One of these lines, Gpr83-GFP, was found to label a major subset of SPB neurons (52.7 ± 4.4% of the total SPB population) (Fig. 1b). In addition, a newly generated Gpr83CreERT2 knockin mouse line labels PNs of the anterolateral pathway that are Gad2-negative and account for 45.2 ± 2.4% of SPB neurons (Extended Data Fig. 1a3, c, 2a, b, e, f). Further analysis revealed that the Gpr83+ and Tacr1+ SPB populations are numerically comparable, largely non-overlapping, and together account for the majority (88.4 ± 2.7%) of SPB neurons in spinal cord lamina I+IIo (Fig. 1f–h, Extended Data Fig. 2e–g). Tac1+ SPB neurons, a previously reported SPB population8, account for 22.1 ± 3.4% of SPB neurons in lamina I+IIo, and Tac1 is expressed in subsets of both Tacr1+ and Gpr83+ SPB neurons (38.2 ± 4.0% and 47.8 ± 9.7%, respectively), suggesting that Tac1+ SPB neurons may represent the small subset of SPB neurons that express both Tacr1 and Gpr83 (Extended Data Fig. 2j–n). We also generated a Robo3IRES-CreERT2 knockin mouse line (Extended Data Fig. 1a1) because Robo3 is transiently expressed in developing commissural neurons9, including PNs of the anterolateral pathway.
To define brain targets of anterolateral pathway PNs, we visualized axonal projections of Tacr1+, Gpr83+, or Robo3+ spinal PNs to the brain using intersectional genetic strategies (PN Cre; Lbx1FlpO 10 (or Cdx2-NSE-FlpO11); Rosa26FSF-LSL-tdTomato). We observed that the PBNL is the most densely innervated brain region for both Tacr1+ and Gpr83+ spinal PNs (Fig. 1c, d, e). In the thalamus, medial and posterior thalamic nuclei are innervated by both Tacr1+ and Gpr83+ spinal PNs in a partially overlapping manner (Fig. 1c, d). In contrast, the ventral posterolateral nucleus of the thalamus (VPL) is innervated by Robo3+ spinal PNs (Extended Data Fig. 1d). In the midbrain, both Tacr1+ and Gpr83+ spinal PNs innervate the lateral region of the periaqueductal grey (PAG) and the midbrain reticular nucleus (MRN), while Tacr1+ spinal PNs more densely innervate the superior colliculus with a compartmentalized array of terminal patches in the intermediate grey layer (SCig) (Fig. 1c, d). In the brainstem, both Tacr1+ and Gpr83+ PNs innervate the medial accessory olive (MAO) and the lateral reticular nucleus (LRN), while Gpr83+ PNs uniquely innervate the dorsal fold of the dorsal accessory olive (DAOdf) (Extended Data Fig. 2h, i). Anatomical analyses using a dual-virus labeling approach (Extended Data Fig. 3) revealed that axons of both Tacr1+ and Gpr83+ posterior thalamus-projecting neurons travel through the ventral lateral funiculus of the spinal cord white matter and form collateral branches that terminate in the MAO and LRN of the ventral brainstem. In contrast, axons of Tacr1+ SCig-projecting neurons travel through the dorsal lateral funiculus and form collateral branches that terminate in the PAG. Strikingly, none of these thalamic- and midbrain-projecting Tacr1+ or Gpr83+ PNs formed collateral branches terminating within the PBNL, the most densely innervated brain target of anterolateral pathway PNs. These findings indicate that Tacr1+ and Gpr83+ spinal PNs that innervate the posterior thalamus, midbrain, and PBNL are distinct populations.
Zonal segregation of SPB axon terminals
The PBNL is comprised of several cytoarchitecturally distinct subnuclei that have distinct input/output connections with other brain regions12,13. We found that the axons of spinal PNs, labeled in their entirety using Cdx2-Cre; Rosa26LSL-synaptophysin-tdTomato mice, terminate within all PBNL subnuclei, except for the ventrolateral subnucleus (PBNVL) and the center region of the external lateral subnucleus (PBNEL) (Fig. 2a). Whereas Tacr1+ SPB neurons form synapses mainly within the central lateral (PBNCL) and internal lateral (PBNIL) subnuclei, Gpr83+ SPB neurons form synapses uniquely within the dorsal lateral (PBNDL) and PBNEL subnuclei, in addition to the PBNIL (Fig. 2b, c, d). Accordingly, presynaptic terminals of Gpr83+ SPB neurons are associated with CGRP+ neurons within the PBNEL14, whereas Tacr1+ axon terminals are not (Extended Data Fig. 4a, b). Moreover, Tac1+ SPB neurons form synapses only within the PBNIL (Extended Data Fig. 2o–q), which is the sole PBNL subnucleus receiving both Tacr1+ and Gpr83+ SPB synaptic terminals (Fig. 2c, d). Thus, distinct SPB populations form synaptic terminals within the PBNL in a zonally segregated manner.
The finding that Tacr1+ and Gpr83+ SPB neurons innervate distinct sets of PBNL subnuclei led us to hypothesize that these two SPB populations underlie distinct behavioral responses to somatosensory stimuli. Selective, bilateral optogenetic activation of either Tacr1+ or Gpr83+ SPB neuron axon terminals within the PBNL (Fig. 2e) strongly induced the expression of the immediate early gene Fos in the respective PBNL subnuclei (Fig. 2f, g) predicted by the synaptic terminal analysis (Fig. 2b, c, d). Interestingly, strong stimulation of Tacr1+ axon terminals also resulted in Fos expression in the PBNEL, in addition to the PBNCL and PBNIL (Fig. 2f, g), consistent with the presence of local microcircuits that interconnect these PBNL subnuclei15. Behaviorally, high-power (6.5 mW) optogenetic stimulation of either Tacr1+ or Gpr83+ SPB neuron terminals led to a robust increase in locomotion in a time-locked manner (Fig. 2h, i), reminiscent of escape behaviors observed in response to noxious stimuli. Interestingly, while Gpr83+ terminal stimulation promoted forward locomotion, Tacr1+ terminal stimulation induced a pronounced backward “retreat” behavior as well as jumping (Fig. 2j, Extended Data Fig. 4d–f, Supplementary Video 1–3). Both light-activated hyperlocomotion and jumping were abolished following infusion of the glutamatergic synaptic blocker NBQX into the PBNL (Fig. 2k, l), and Fos induction was not observed in the spinal cord following photostimulation of SPB axon terminals (Extended Data Fig. 4g, h), suggesting that escape behaviors evoked by SPB axon terminal stimulation is mediated by glutamatergic synaptic transmission within the PBNL and not by backpropagating action potentials and activation of other brain regions or the spinal cord. It is noteworthy that light-evoked increases in locomotion were followed by a robust “freezing” behavior that lasted for the entire light-off period (Extended Data Fig. 4c, Supplementary Video 4). Moreover, activation of either Tacr1+ or Gpr83+ SPB neurons led to an increase in pupil diameter (Fig. 2m, n), which likely reflects increased sympathetic tone. While pupillary dilation evoked by Gpr83+ SPB terminal stimulation was transient (fast decay and small area under curve), dilation evoked by Tacr1+ SPB terminal stimulation was sustained (Fig. 2m, o). Tacr1+ SPB terminal stimulation additionally induced squinting/blinking, indicative of severe pain16 (Fig. 2m, p). These findings suggest that high-intensity stimulation of Tacr1+ and Gpr83+ SPB neurons induces nocifensive behaviors, but these two SPB populations differentially influence the mode of escape locomotor behavior and the temporal dynamics of autonomic responses.
A mechanosensory limb of the SPB pathway
PNs of the anterolateral pathway are heterogeneous in terms of their physiological response properties, and the majority are polymodal3,17–20. To determine the response properties of Gpr83+ and Tacr1+ SPB subsets, we conducted whole-cell patch-clamp recordings from these two neuronal populations using an ex vivo skin-spinal cord preparation18 (Fig. 3a). Despite heterogeneity in the tuning properties among individual Gpr83+ and Tacr1+ SPB neurons, Gpr83+ and Tacr1+ SPB subsets at the population level exhibited distinct responses to mechanical and thermal stimuli (Fig. 3b–g, Extended Data Fig. 5a, b); Gpr83+ SPB neurons were highly sensitive to mechanical stimuli (Fig. 3e), whereas Tacr1+ SPB neurons were more responsive to innocuous thermal stimuli, cool temperature (15°C) in particular, and capsaicin than Gpr83+ SPB neurons (Fig. 3f, Extended Data Fig. 5c, d). Interestingly, Gpr83+ and Tacr1+ SPB neurons both responded to noxious cold (0°C) and noxious heat (54°C) (Fig. 3g), suggesting that both of these SPB subdivisions convey noxious thermal signals.
Consistent with these ex vivo recordings, extensive paw-licking, a nocifensive behavior, elicited by noxious heat (55°C) or noxious cold (5°C) and reactivity to noxious mechanical stimuli as well as rough floor aversion were diminished when neurotransmission was suppressed in both Gpr83+ and Tacr1+ spinal neurons, including SPB neurons, simultaneously but not when neurotransmission was suppressed in either Gpr83+ or Tacr1+ spinal neurons alone (Extended Data Fig. 6). Together, these physiological and behavioral findings suggest that Gpr83+ and Tacr1+ SPB populations differentially transmit innocuous cutaneous signals to the brain, while noxious tactile and thermal signals are conveyed by both SPB subdivisions.
To define spinal cord circuit mechanisms that account for differences in stimulus-response properties of Tacr1+ and Gpr83+ SPB neurons, we next examined the sensory neuron inputs onto these SPB neurons using channelrhodopsin-assisted circuit mapping in acute spinal cord slices (Fig. 3h). Photostimulation (473 nm) of CGRP+ peptidergic nociceptor terminals, labeled using a newly generated BAC transgenic mouse line, Calca-FlpE (Extended Data Fig. 1f), evoked large EPSCs and action potential firing in most Tacr1+ SPB neurons, but not in Gpr83+ SPB neurons (Fig. 3j, k) except for a small fraction that exhibited small polysynaptic EPSCs evoked with much longer light pulses (Extended Data Fig. 7b). In contrast, activation of either Mrgprb4+ mechanosensory neuron21 terminals or Ntrk2+ (also known as TrkB) Aδ-low threshold mechanoreceptor (LTMR)22 terminals evoked large EPSCs and action potential firing in the majority of Gpr83+ SPB neurons, but not in Tacr1+ SPB neurons (Fig. 3l–o) except for a small fraction that exhibited small polysynaptic EPSCs evoked with much longer light pulses (Extended Data Fig. 7c, d). Activation of Mrgprd+ polymodal non-peptidergic sensory neuron23 terminals evoked large EPSCs and action potential firing in both Gpr83+ and Tacr1+ SPB neurons (Extended Data Fig. 7e, f). A morphological correlate of the differential sensory neuron inputs is that dendrites of Tacr1+ SPB neurons are restricted to the most superficial spinal cord lamina, where most CGRP+ peptidergic nociceptors terminate, whereas dendrites of Gpr83+ SPB neurons often extend into lamina IIid, the site of non-peptidergic sensory neuron synapses, including those of Mrgprb4+ mechanosensory neurons, and even into lamina IIiv and III, the site of Aδ-LTMR and Aβ-LTMR synapses (Extended Data Fig. 7g–k). Thus, the distinct physiological responses of Gpr83+ and Tacr1+ SPB neurons to tactile and thermal stimuli can be explained by differences in their dendritic morphologies and synaptic inputs from distinct classes of mechanosensory neurons and nociceptors.
SPB neuronal subsets and hedonic value
Several lines of evidence indicate that the organizational properties of the Gpr83+ and Tacr1+ SPB subdivisions are distinct from other ascending pathways of anterolateral spinal tracts. First, in contrast to other brain targets, including the PAG and SCig, which are innervated by axons originating exclusively from the contralateral side of the spinal cord, the PBNL was found to receive bilateral input from both Gpr83+ and Tacr1+ SPB neurons (Fig. 4a, b). Simultaneous retrograde tracing of SPB neurons innervating either side of the PBNL (Extended Data Fig. 8a–c) and anterograde tracing of sparsely labeled SPB axons (Fig. 4c–f) revealed that individual SPB neurons project either contralaterally, ipsilaterally, or bilaterally. Second, consistent with our observations from dual-virus retrograde labeling experiments (Extended Data Fig. 3), single axon tracing analyses of sparsely labeled Gpr83+ and Tacr1+ SPB neurons support the idea that most SPB neurons are dedicated anterolateral pathway PNs that innervate the PBNL without forming collateral branches that innervate other brain regions (Fig. 4e). In contrast, anterolateral pathway PNs with axons innervating the inferior olivary complex have collateral branches that extend to other brain regions (Extended Data Fig. 3f, i, 8d, e). Third, unlike other brain targets of the anterolateral pathway, such as the inferior olivary complex (Extended Data Fig. 8f), we observed no somatotopic organization of SPB axon terminals within the PBNL (Fig. 4g–i).
These unique anatomical features led us to suspect that the Tacr1+ and Gpr83+ SPB subdivisions contribute to affective, rather than discriminative aspects of somatosensation. Consistent with this idea, activation of SPB neurons with moderate-intensity stimulation (1 mW), particularly Tacr1+ SPB neurons, induced robust, repetitive grooming of forepaw and head (Extended Data Fig. 9a, b, Supplementary Video 5), which in rodents is a hallmark feature of stress and anxiety24. Selective activation of SPB axon terminals originating exclusively from the lumbar spinal cord also induced this rostral grooming behavior, but not grooming of body trunk, hindpaw, or tail (Extended Data Fig. 9c, d), consistent with the idea that the SPB pathways lack somatotopic organization. Moreover, high-intensity photostimulation (6.5 mW) of either Tacr1+ or Gpr83+ SPB axon terminals within the PBNL induced strong place aversion (Fig. 5a, b). Interestingly, the aversive effect of high-intensity photostimulation of Gpr83+ SPB neurons was transient and lasted only for the stimulation period, whereas activation of Tacr1+ SPB neurons led to a sustained aversive behavior that continued after the stimulation period had ended, suggesting that strong activation of SPB neurons, particularly Tacr1+ SPB neurons, evokes behaviors associated with negative emotional valence.
In addition to negative valence associated with noxious stimuli, observations in human patients with anterolateral cordotomy have implicated the anterolateral pathway in conveying signals associated with positive valence and pleasurable properties of gentle touch25–27. Our finding that Gpr83+ SPB neurons are much more responsive than Tacr1+ SPB neurons to light mechanical forces acting on the skin and receive strong synaptic inputs from mechanosensory neurons, including LTMRs, prompted us to ask whether Gpr83+ SPB neurons convey signals that underlie positive valence associated with light touch as well as negative valence associated with noxious stimuli. To address this, we developed an optogenetic stimulation-coupled instrumental conditioning assay in which mice receive selective optogenetic stimulation of either Tacr1+ or Gpr83+ SPB axon terminals in the PBNL upon pressing an active lever, but not an inactive lever (Fig. 5d). Remarkably, low-intensity, self-administered photostimulation (0.4 mW) of Gpr83+ SPB neurons, but not Tacr1+ SPB neurons, promoted positive reinforcement (i.e. increased lever-pressing) over time, whereas moderate-intensity photostimulation (1 mW) of either Tacr1+ or Gpr83+ SPB neurons served as a punishment signal (i.e. decreased lever-pressing) (Fig. 5e, f, Extended Data Fig. 9e, f). Interestingly, elevated lever-pressing and positive reinforcement associated with weak optogenetic stimulation of Gpr83+ SPB neurons was observed for several days after photostimulation was uncoupled from pressing the active lever. Similarly, in a real-time place preference paradigm, only Gpr83CreERT2; Lbx1FlpO; Rosa26LSL-FSF-ReaChR mice exhibited preference for the stimulated side of the chamber following the period of moderate-intensity photostimulation (1 mW), but not strong photostimulation (6.5 mW) (Fig. 5b, c).
To begin to define cellular and circuit level correlates of intensity-dependent changes in behaviors associated with different valences (positive or negative), we next examined Fos induction in the PBNL following photostimulation of SPB axon terminals with different optical strengths. High-intensity photostimulation (6.5 mW) of Gpr83+ SPB axons terminals resulted in strong Fos induction in all three PBNL subnuclei in which Gpr83+ SPB axons terminals are associated, whereas low-intensity photostimulation (0.4 mW) induced Fos expression only in the PBNEL (Fig. 5g, h). Moreover, the number of Fos+ neurons within the PBNEL, including a Fos and CGRP double-positive population, correlated with stimulation intensity (Fig. 5h–j), suggesting that neurons within the PBNEL may control behaviors associated with different valences in a scalable manner. Together, these findings indicate that the Gpr83+ mechanosensory limb of the SPB tract is associated with either positive or negative emotional valence, depending on stimulus intensity.
Discussion
While studies of the anterolateral pathway have mainly focused on its role in pain and temperature sensation, subdivisions of the anterolateral pathway that may mediate affective touch have been poorly understood. We propose that the Gpr83+ SPB pathway is a unique subdivision of the anterolateral pathway that conveys tactile information to higher brain centers via the PBNL to underlie affective touch (Extended Data Fig. 10a). Support for this model includes the observations that Gpr83+ SPB neurons are highly sensitive to mechanical stimuli, they receive strong synaptic inputs from primary mechanosensory neurons, and they convey tactile information bilaterally to the PBNL in a manner that is non-topographically organized. In addition, low-intensity stimulation of Gpr83+ SPB neurons is appetitive, whereas high-intensity stimulation of these neurons is aversive. It is noteworthy that Gpr83+ SPB neurons receive synaptic inputs from both LTMRs and HTMRs, suggesting that the Gpr83+ SPB pathway underlies either positive or negative valence associated with cutaneous mechanosensation depending on the properties or intensity of a tactile stimulus.
The current view of ascending pain pathways emphasizes the involvement of Tacr1+ PNs in transmitting nociceptive signals from the spinal cord to the brain. However, therapeutic strategies that target Tacr1-expressing neurons and the TACR1 receptor itself to treat pain have been minimally successful28, consistent with the existence of additional, Tacr1-negative SPB neurons29. Our physiological and behavioral findings suggest that Tacr1+ and Gpr83+ SPB neurons form parallel ascending circuit motifs that cooperate to convey nociceptive signals to the brain (Extended Data Fig. 10a). These two SPB modules receive synaptic inputs from distinct but overlapping sets of nociceptors and project to distinct but overlapping PBNL subnuclei, which presumably engage different downstream brain regions associated with processing nociceptive signals. Indeed, strong activation of Tacr1+ and Gpr83+ SPB neurons generates spatiotemporally distinct patterns of escape locomotion, autonomic (pupillary) reactions, and place aversion, supporting the idea that these two SPB circuit motifs mediate different aspects of pain perception and behavioral responses to noxious stimuli. Intriguingly, TACR1 and GPR83 are structurally highly related GPCR family members (Extended Data Fig. 10b), both coupled to Gq signaling pathways30, suggesting that they may modulate the activities of Tacr1+ and Gpr83+ SPB neurons, respectively. Future studies of the TACR1 and GPR83 GPCRs, and the spinal PNs that express them, may reveal new therapeutic approaches for treating disorders associated with pain and affective touch.
Methods
Mice.
Mice were handled and housed in accordance with Harvard Medical School and IACUC guidelines. Mice were kept in a temperature- and humidity-controlled room with a 12-hour light/dark cycle. Mice (2–24 weeks of age) from both genders were used in experiments. Knockin mouse lines generated in this study include the Robo3IRES-CreERT2, Tacr1CreERT2, Gpr83CreERT2, AdvillinFlpO, and TauFSFiAP (this mouse line will be described elsewhere) mouse lines. These knockin mouse lines were generated in the Janelia Research Campus Gene Targeting and Transgenic Facility using conventional ES cell targeting strategies. Briefly, a 3X-STOP-IRES-CreERT2 cassette was introduced via homologous recombination into the first common coding exon that is shared by different splice variants of the Robo3 gene for the Robo3 IRES-CreERT2 knockin mouse line. CreERT2 cassettes were introduced via homologous recombination into the Tacr1, Gpr83, and Advillin genes, replacing the first coding ATGs to generate the Tacr1CreERT2, Gpr83CreERT2, and AdvillinFlpO mouse lines, respectively. Detailed sequence elements of the targeting vectors are described in Extended Data Fig. 1a. Robo3 IRES-CreERT2, Tacr1CreERT2, Gpr83CreERT2, and AdvillinFlpO heterozygous mice were generated by mating chimeric mice to germline FlpE (Actb-FlpE) (JAX#003800) or germline Cre (EIIa-Cre) (JAX#003724) mice to remove the neomycin selection cassette. Other published knockin mouse lines used in this study include Lbx1FlpO 10, Rosa26FSF-LSL-tdTomato (Ai65) (JAX#021875), Rosa26LSL-tdTomato (Ai14) (JAX#007908), Rosa26LSL-EYFP (Ai3) (JAX#007903), Rosa26LSL-synaptophysin-tdTomato (Ai34) (JAX#012570), Rosa26FSF-tdTomato (generated from the cross between Ai65 and EIIa-Cre mouse lines; germline excision of LSL), Rosa26LSL-FSF-ReaChR 31 (JAX#024846), Rosa26LSL-FSF-TeTx 32, Rosa26FSF-LSL-Synaptophysin-GFP 33, Tac1IRES2-Cre (JAX#021877), Gad2NLS-mCherry (JAX#023140), AdvillinCre 34, Ntrk2CreER 35, Mrgprb4Cre 36, and MrgprdCre 23. The Calca-FlpE BAC transgenic mouse line was generated by introducing a FlpE cassette downstream of the first coding ATG of the Calca gene in a bacterial artificial chromosome (RP23-181A2). The Gpr83-EGFP BAC transgenic mouse line was imported from the MMRRC (Stock number: 010442-UCD). Other published transgenic mouse lines used in this study include Cdx2-Cre (JAX#009352), Calca-GFP (MMRRC, Stock number: 011187-UCD) and Cdx2-NSE-FlpO11.
Tamoxifen treatment.
Tamoxifen (T5648, Sigma) was dissolved in 100% ethanol (20 mg/ml), mixed with a 2x volume of sunflower seed oil (S5007, Sigma), vortexed for 20 minutes and vacuum centrifuged for 30 minutes for ethanol evaporation. Tamoxifen in sunflower seed oil (10 mg/ml) was delivered via oral gavage to pregnant female mice for embryonic treatment (3-4 mg at E11.5 for Robo3CreERT2) or to mice at weaning ages (P19-P24) for postnatal treatments (1-1.5 mg for Tacr1CreERT2 and 2-2.5 mg Gpr83CreERT2). The number of tamoxifen treatments for Tacr1CreERT2 and Gpr83CreERT2 varied depending on reporter mouse lines and Cre-dependent viruses used for experiments; Rosa26FSF-LSL-tdTomato (Ai65), Rosa26LSL-tdTomato (Ai14), and Rosa26LSL-EYFP (Ai3), TauFSFiAP, one dose; Rosa26LSL-FSF-ReaChR, two doses two days apart; Rosa26LSL-FSF-TeTx, three doses on three consecutive days; AAV1-FLEX-PLAP, one dose 5-7 days after virus injection; all other Cre-dependent viruses, two to three doses were administered 5-14 days after virus injections.
Surgical procedures.
Spinal cord injections.
Mice (P12-20) were anesthetized via continuous inhalation of isoflurane (1.5 – 2.5 %) using an isofluorane vaporizer (VetEquip) during the surgery. Laminectomies were performed to expose either cervical, thoracic, or lumbar spinal cords, and total 300 – 450 nl of AAV viruses were directly injected into two to three adjacent spots in the spinal cord using pulled glass pipettes (Wiretrol II, Drummond) and a microsyringe pump injector (UMP3, World Precision Instruments). For sparse labeling experiments described in Fig. 4, 150 nl of 1/10 diluted AAV1-hSyn-FlpO-WPRE (1.37E+12gc/ml) was injected into one location in the lumbar spinal cord.
Brain injections and fiberoptic/dual opto-fluid cannula implants.
Mice (6-10 weeks old) were placed on a stereotaxic frame (Kopf Instruments) and anesthetized via continuous inhalation of isoflurane (1.5 – 2.5 %) using an isofluorane vaporizer during the surgery. Burr holes were made on the skull using a dental drill, and 150 – 250 nl of Alexa Fluor-conjugated CTB (ThermoFisher) or 100 – 300 nl of AAV viruses were injected into the target brain regions using pulled glass pipettes (Wiretrol II, Drummond) and a microsyringe pump injector (UMP3, World Precision Instruments). For fiberoptic or dual opto-fluid cannula implants, fiberoptic cannulas (400 μm in diameter, 0.53NA, Doric Lenses) or dual opto-fluid cannulas (DiOFC, Doric Lenses) were bilaterally implanted into the PBNL and secured using a gel type super glue (Loctite) with an accelerator application followed by dental cement (Metabond, Parkell) application. The coordinates used for stereotaxic injections/implants are as follows; PBNL (−5.2 – −5.0 mm posterior to bregma, ± 1.4 – 1.6 mm from midline, and −2.8 – −3.0 ventral to dura), MGm/SPFp (−3.05 – −3.15 mm posterior to bregma, −1.70 – −1.75 mm from midline, and −3.0 – −3.2 mm ventral to dura), SCig (−3.35 – −3.50 mm posterior to bregma, −0.75 – −1.25 mm from midline, and −1.35 – −1.45 mm ventral to dura).
Viruses.
The following AAV viruses were used in this study: AAV1-CAG-FLEX-Synaptophysin-GFP-WPRE (1.088E+14gc/ml), AAV1-CAG-FLEX-Synaptophysin-BFP-WPRE (1.5059E+14gc/ml), AAV1-CAG-FLEX-Synaptophysin-tdTomato-WPRE (1.1482E+14gc/ml), AAV2-Retro-CAG-FLEX-tdTomato-WPRE (2.22248E+13gc/ml), AAV2-Retro-EF1α-FlpO-WPRE (2.683E+13gc/ml), AAV1-hSyn-Con/Fon-EYFP-WPRE (1.04E+13gc/ml), and AAV1-hSyn-FlpO-WPRE (1.37E+13gc/ml). pAAV-FLEX-Synaptophysin-GFP expression vector37 was a gift from Silvia Arber. pAAV-FLEX-Synaptophysin-BFP and pAAV-FLEX-Synaptophysin-tdTomato expression vectors were generated by swapping the GFP sequence with BFP and tdTomato sequences, respectively. pAAV-CAG-FLEX-Synaptophysin-tdTomato-WPRE (Addgene#51503) and pAAV-hSyn-Con/Fon-EYFP-WPRE38 (Addgene#55650) expression vectors were purchased from Addgene. pAAV-EF1α-FlpO-WPRE and pAAV-hSyn-FlpO-WPRE expression vectors were generated using standard approaches. All the AAV viruses were produced and packaged at the Boston Children’s Hospital Viral Core Facility except for the AAV1-FLEX-PLAP virus, which was a gift from Connie Cepko.
Dual-virus retrograde labeling experiments.
The traditional view of the anterolateral pathway is that most of the spinal PN axons form collateral branches that innervate multiple regions of the brain, including the PBNL3; this is based on double labeling of neurons by retrograde tracers injected into different brain regions. However, one potential caveat of this approach is that some brain targets of the anterolateral pathway, particularly in the hindbrain, including the PBNL of the pons and brainstem, are located near main bundles of ascending anterolateral pathway axons, potentially complicating interpretation of retrograde labelling experiments because PNs may be labelled by uptake of tracers into fibers of passage as well as axon terminals. To circumvent this concern, we selectively labeled Tacr1+ or Gpr83+ spinal PNs that innervate rostral brain targets, including the MGm/SPFp of the posterior thalamus and the SCig of the midbrain, by combining lumbar spinal cord injections of AAV1-Con/Fon-EYFP viruses38 and brain injections of AAV2-retro-FlpO viruses39 into Tacr1CreERT2 or Gpr83CreERT2 mice (Extended Data Fig. 3).
AAV1-FLEX-Synaptophysin virus injections into three spinal axial levels.
AAV1-FLEX-Synaptophysin viruses37 expressing one of three different fluorescent proteins (GFP, BFP, and tdTomato) were injected into three spinal axial levels (lumbar enlargement, mid-thoracic, and cervical enlargement) of either Tacr1CreERT2 or GPR83CreERT2 mice to visualize synaptic terminals of SPB neurons representing hindlimbs, thoracic body regions, and forelimbs, respectively (Figure 4g–i, Extended Data Figure 8f).
RNAscope in situ hybridization.
Adult mice were euthanized with carbon dioxide. Lumbar spinal cords were dissected and immediately embedded in OCT (1437365, Fisher) and frozen with dry ice-cooled methylbutane. The spinal cord tissues were cyrosectioned (25 μm) using a cryostat (Leica), and transverse sections were collected on glass slides (12–550-15, Fisher). mRNA transcripts were detected using RNAscope Fluorescent Multiplex Assay (Advanced Cell Diagnostics) and RNAscope Fluorescent Multiplex Reagent Kit (Cat. No. 320850). The RNAscope catalog probes were used to detect Gpr83 (Cat. No. 317431), Tac1 (Cat. No. 410351) and tdTomato (Cat. No. 317041-C2) mRNA molecules.
Immunohistochemistry.
Mice (6 – 8 weeks old) were anesthetized with CO2 and transcardially perfused with 5-10 mL of modified Ames Media (A1420, Sigma) in 1x PBS, followed by 20–30 mL of 4% paraformaldehyde (PFA) (P6148, sigma or 15714-S, EMS) in 1x PBS at room temperature (RT). Brains and vertebral columns, including spinal cords and dorsal root ganglia, were roughly dissected from perfused mice and post-fixed in 4% PFA at 4°C overnight. Tissues were washed in 1x PBS for over 3 hours, and brains and spinal cords were finely dissected out from the rest of the tissue. Brain and spinal cord tissues were cryoprotected in 30% sucrose in 1x PBS at 4°C for 2 days, embedded in OCT (1437365, Fisher), frozen using dry ice, and kept at −80°C. Brain (coronal sections) and spinal cord (transverse or horizontal sections) tissues were cyrosectioned (30 - 40 μm) using a cryostat (Leica). Spinal cord sections were collected on glass slides (12-550-15, Fisher) and brain sections were collected on glass slides or in 1x PBS. Sections (on slides for spinal cord sections, on slides or as floating sections for brain sections) were washed 3 times for 5 minutes each with 1x PBS containing 0.1% Triton X-100 (0.1% PBST), incubated with blocking solutions (0.1% PBST containing 5% normal goat serum (S-1000, Vector Labs) or normal donkey serum (005-000-121, Jackson Immuno)) for 1 hour at RT, incubated with primary antibodies diluted in blocking solutions at 4°C overnight, washed 3 times for 10 minutes each with 0.1% PBST, incubated with secondary antibodies diluted in blocking solutions at 4°C overnight, washed again 4 times for 10 minutes each with 0.1% PBST (DAPI solution (D1306, ThermoFisher) was included in the second wash at 1:5000 dilution), and mounted with fluoromount-G (Southern Biotech). IB4 (Alexa 647 conjugated, I32450, ThermoFisher) was diluted at 1:300 and incubated together with secondary antibodies. Primary antibodies used in this study include rabbit anti-DsRed (1:1000, 632496, Clontech), goat anti-mCherry (1:1000, AB0040-200, Acris), chicken anti-GFP (1:1000, GFP-1020, Aves Labs), rabbit anti-GFP (1:1000, A-11122, Life Technologies), mouse anti-NeuN (1:1000, MAB377, Millipore), rabbit anti-tagRFP (for BFP detection, 1:1000, AB233, Evrogen), rabbit anti-TACR1 (1:2000, S8305, Sigma), rabbit anti-PKCγ (1:1000, SC-211, Santa Cruz Biotechnology), mouse anti-c-Fos (1:1000, M-1752-100, Biosensis), rabbit anti-phospho-c-Fos (1:500, #5348, Cell Signaling), and rabbit anti-CGRP (1:1000, 24112, Immunostar). Secondary antibodies included Alexa 488 or 546 conjugated goat anti-rabbit antibodies, Alexa 488 or 546 conjugated goat anti-chicken antibodies, Alexa 488 or 647 conjugated goat anti-mouse antibodies (IgG1), Alexa 647 conjugated goat anti-guinea pig antibodies, Alexa 488 conjugated donkey anti-chicken antibodies, Alexa 546 conjugated donkey anti-goat antibodies, and Alexa 488 or 647 conjugated donkey anti-rabbit antibodies. All secondary antibodies were purchased from Life Technologies except for Alexa 488 conjugated donkey anti-chicken antibodies, which was purchased from Jackson ImmunoResearch, and used at 1:500 dilution.
Whole-mount alkaline phosphatase (AP) staining.
Mice (6 – 8 weeks old) were euthanized, perfused, fixed, and dissected as described in the immunohistochemistry section. Cortexes and cerebellums were removed, and the remaining tissues, including subcortical regions of the brain and spinal cords, were subjected to heat inactivation of endogenous AP for 2-5 hours at 65-68°C in 1x PBS. The tissues were washed with B1 buffer (0.1 M Tris pH 7.5, 0.15 M NaCl) 3 times for 10 minutes each at RT and then washed with B3 buffer (0.1 M Tris pH 9.5, 0.1 M NaCl, 50 mM MgCl2, 0.1% Tween-20) 3 times for 10 minutes each at RT. The tissues were then incubated with B3 buffer containing NBT(11383213001, Sigma)/BCIP(11383221001, Sigma) (diluted at 3.4 μg/ml each) 0.5 – 1.5 days at RT for AP reactions. The next day, tissues were washed with 1x PBS, fixed with 4% PFA in 1x PBS for over 4 hours at 4°C, serially dehydrated with 50%, 75%, and 100% methanol for 1 hour each, and incubated in fresh 100% methanol overnight. Dehydrated tissues were pinned to a glass dish coated with Sylgard (Sylgard 184 Silicone Elastomer Kit (Dow)), cleared in BABB (BABB: 1 part Benzyl Alcohol (108006, Sigma): 2 parts Benzyl Benzoate (B6630, Sigma)) for 10 - 30 minutes, and then imaged.
Imaging and image analyses.
Fluorescence images.
Z-stack images were taken with a Zeiss LSM 700 confocal microscope using either 10X (Plan-Apochromat 10X/NA 0.45) or 20X (Plan-Apochromat 20X/NA 0.8) objectives. The Tile-scan function was used for imaging large spinal cord and brain sections, and the tile images were stitched using Zeiss Zen microscope software. Fluorescence overlaps (Fig. 1g, h, Extended Data Fig. 1b, c, e, f, 2a–f, j–n, 8b, c), the number of cell bodies of SPB neurons (Extended Data Fig. 7h, i), and the number of Fos+ neurons (Fig. 2f, g, 5g–j, Extended Data Fig. 4g, h, 6e, f) were analyzed using either Zeiss Zen microscope software (2.3 SP1) or ImageJ (2.0.0-rc-69/1.52p) with Cell Counter plugin mostly by investigators who were blinded to genotype. Average fluorescence intensity of tdTomato+ axons (Fig. 1c–e), fluorescence densities of synaptic terminals in the subnuclei of PBNL (Fig. 2c, d, Extended Data Fig. 2p, q) and dendritic lengths of SPB neurons (Extended Data Fig. 7h, j, k) were measured using ImageJ. The number of tdTomato+ synaptic terminals of SPB axons associated with GFP+ cell bodies and neurites (Extended Data Fig. 4a, b) was quantified using custom image analysis modules built with CellProfiler software (3.1.9). The estimation of the percentages of spinal cord Tacr1+ and Gpr83+ neurons that constitute anterolateral pathway PNs (described in the Extended Data Fig. 6 figure legend) were calculated based on retrograde labeling experiments described in Extended Data Fig. 2e. However, the estimated percentages are lower bounds and almost certainly underestimations because it is unlikely that 100% labeling efficiency was achieved with retrograde tracer injections and because injecting retrograde tracers into all the brain targets of the anterolateral pathway was not feasible.
Bright field images of whole-mount AP stained tissues.
Bright field images of whole-mount AP stained tissues were taken with a Zeiss Axio Zoom.V16 microscope using a 1X objective (PlanNeoFluar Z 1.0x/0.25 FWD 56mm). Sparsely labeled single axons of SPB neurons (Fig. 4d–f) were traced using ImageJ with Simple Neurite Tracer plugin.
Fos induction measurements.
Mice were acclimated in stimulation chambers for two days (20 – 30 minutes each day) before the test day. For high-intensity optogenetic stimulation of SPB axon terminals (Fig. 2f, g, Fig. 5g–j, Extended Data Fig. 4g, h), 6.5 mW blue light (473 nm, 10 Hz, 10 ms pulse width) was delivered through fiberoptic cannulas implanted in the PBNL four times for 30 seconds each (30 second light-off periods between photostimulation periods). For low-intensity photostimulation (Fig. 5g–j), 0.4 mW blue light (473 nm, 10 Hz, 10 ms pulse width) was delivered either four times for 30 seconds each (30 second light-off periods between photostimulation periods) or 16 times for five seconds each (10 second light-off periods between photostimulation periods). Littermate controls were photostimulated with either of the protocols above. For thermal stimulation (Extended Data Fig. 6e, f), mice were placed either on a 55°C hot plate for 30 seconds or on a 5°C cold plate for 10 minutes. Littermate controls were placed on a plate at room temperature for 10 minutes. 1.5 hours after the delivery of each stimulation, mice were perfused and processed for Fos immunohistochemical analysis.
Ex vivo whole-cell patch-clamp recordings using a skin-spinal cord preparation.
A semi-intact skin-spinal cord preparation was used as previously described18 with a few modifications. Briefly, mice (6–9 weeks old) were deeply anesthetized with ketamine/xylazine (90 and 10 mg/kg, respectively) and transcardially perfused through the left ventricle with oxygenated (95% O2 and 5% CO2) sucrose-based artificial cerebrospinal fluid (ACSF) (in mM; 234 sucrose, 2.5 KCl, 0.5 CaCl2, 10 MgSO4, 1.25 NaH2PO4, 26 NaHCO3, 11 Glucose) at room temperature. Immediately after perfusion, the skin was incised along the dorsal midline and the spinal cord was quickly exposed via dorsal laminectomy. The right hindlimb and the spinal cord (~C2 – S6) were dissected, transferred onto Sylgard-coated dissection/recording dish, and submerged in the same sucrose-based ACSF, which was circulated at 50 ml/min for superfusion of the spinal cord. Next, the skin piece innervated by the saphenous nerve and the femoral cutaneous nerve was dissected free of surrounding tissues. The L2 and L3 DRGs were left attached on the spine. Dural and pial membranes were carefully removed and the spinal cord was pinned onto the Sylgard chamber with the right dorsal horn facing upward. After the dissection, the chamber was transferred to the electrophysiology rig, and the skin-spinal cord preparation was perfused with normal ACSF solution (in mM; 117 NaCl, 3.6 KCl, 2.5 CaCl2, 1.2 MgCl2, 1.2 NaH2PO4, 25 NaHCO3, 11 glucose) saturated with 95% O2 and 5% CO2 at 32°C. The tissues were rinsed with ACSF for at least 30 minutes to wash out sucrose. Thereafter, recordings were performed for up to 6 hours post-dissection. Neurons were visualized using a fixed stage upright microscope (BX51WI, Olympus) equipped with a 40X water immersion objective and a CCD camera (ORCA-ER, Hamamatsu Photonics). A narrow beam infrared LED (L850D-06, Marubeni) was positioned outside the solution meniscus. Either Tacr1+ or Gpr83+ lamina I SPB neurons were identified by CTB (injected into the PBNL) and GFP (or tdTomato) double fluorescence. Whole-cell patch-clamp recordings were then performed using a thin-walled single-filamented borosilicate glass pipette pulled with a microelectrode puller (PC-10, Narishige International). The Pipette resistance ranged from 6 to 12 MΩ. Electrodes were filled with an intracellular solution (in mM: 135 K-gluconate, 5 KCl, 0.5 CaCl2, 5 EGTA, 5 HEPES, 5 MgATP, pH 7.2). Signals were acquired using a Axopatch 200B amplifier (Molecular Devices). The data were low-pass filtered at 2 kHz and digitized at 10 kHz with an A/D converter (Digidata 1322A, Molecular Devices) and stored using a data acquisition program (Clampex version 10, Molecular Devices). The liquid junction potential was not corrected. To search for a cell’s receptive field, mechanical stimulation with a firm brush or thermal stimulation with hot (50°C) or cold (0°C) saline was applied systematically over the skin. Once a receptive field was located, stimuli were reapplied directly to the receptive field. To record action potential firings following mechanical stimulation, the skin was indented using a range of von Frey filaments (0.16g, 1g, 2g and 4g). To record action potential firings following application of thermal stimuli, saline with various temperatures (0°C, 15°C, 40°C and 54°C) was gently applied to the skin using a 10 ml syringe. To record capsaicin-evoked action potential firings, 0.05% capsaicin (20 μl) dissolved in 100% ethanol was gently applied to the skin. Peak instantaneous firing frequency was used to evaluate the response to each stimulus. The baseline firing rate (average spontaneous firing rate before stimulus) was subtracted from the peak instantaneous firing frequency. Cells that exhibited peak instantaneous firing frequency greater than 2 Hz were counted as responders.
Whole-cell patch-clamp recordings using an acute spinal cord slice preparation.
ReaChR, a red-shifted variant of channelrhodopsin40, was selectively expressed in distinct primary sensory neuron subtypes using intersectional genetic strategies that combine a sensory neuron subtype specific Flp (or Cre) recombinase mouse line, a pan-sensory neuron-specific AdvillinCre line34 (or a newly generated AdvillinFlpO line) (Extended Data Fig. 1e, 7a), and the dual recombinase dependent ReaChR mouse line Rosa26LSL-FSF-ReaChR (Fig. 3h). Whole-cell patch-clamp recordings were then performed on Gpr83+ and Tacr1+ SPB neurons labeled with tdTomato by viral delivery of AAV2-Retro-FLEX-tdTomato into the PBNL of quadruple transgenic mice harboring either the Tacr1CreERT2 or Gpr83CreERT2 allele. Acute transverse spinal cord slices were used for whole-cell patch-clamp recordings of retrogradely labeled Tacr1+ and Gpr83+ SPB neurons. Specifically, mice (5-7 weeks old) were anesthetized via continuous inhalation of isoflurane (1.5% – 2.5%) while vertebral columns were dissected. Lumbar enlargements were dissected out from vertebral columns in an ice-cold choline solution (in mM: 92 Choline Chloride, 2.5 KCl, 1.2 NaH2PO4, 30 NaHCO3, 20 HEPES, 25 Glucose, 5 Sodium Ascorbate, 2 Thiourea, 3 Sodium Pyruvate, 10 MgSO4 7H2O, 0.5 CaCl2 2H2O) and mounted in 0.3% LMP agarose (16520-100, Life Technology). The lumbar spinal cords were sliced in a transverse plane (350 μm) (VT1200S, Leica), and the spinal cord slices were recovered at 34°C for 30 minutes in oxygenated (95% O2 and 5% CO2) HEPES holding solution (in mM: 86 NaCl, 2.5 KCl, 1.2 NaH2PO4, 35 NaHCO3, 20 HEPES, 25 Glucose, 5 Sodium Ascorbate, 2 Thiourea, 3 Sodium Pyruvate, 1 MgSO4 7H2O, 2 CaCl2 2H2O). After recovery, spinal cord slices were placed at RT for 30 minutes prior to recordings. Spinal cord slices were then superfused with oxygenated (95% O2 and 5% CO2) recording ACSF (in mM: 2.5 CaCl2 2H2O, 1.0 NaH2PO4 H2O, 119 NaCl, 2.5 KCl, 1.3 MgSO4 7H2O, 26 NaHCO3, 25 Glucose, 1.3 Sodium L-ascorbate) at RT in a recording chamber mounted on a SliceScope Pro 6000 electrophysiology rig (Scientifica). Cells were visualized by fluorescence to identify tdTomato positive cells, followed by infrared differential interference contrast microscopy for patching (ORCA-Flash 4.0, Hamamatsu Photonics; SliceScope Pro 6000, Scientifica). Whole-cell voltage-clamp recordings of retrogradely labeled SPB neurons within superficial lamina were obtained under visual guidance using a 40x objective. The Pipette resistance ranged from 3 to 4 MΩ, and the electrodes were filled with an intracellular solution (in mM: 135 K-gluconate, 5 KCl, 0.5 CaCl2, 5 EGTA, 5 HEPES, 5 MgATP, pH 7.2). Signals were acquired using a Multiclamp 700B amplifier (Molecular Devices). The data were low-pass filtered at 2 kHz and digitized at 10 kHz with an A/D converter (Digidata 1440A, Molecular Devices) and stored using a data acquisition program (Clampex version 10, Molecular Devices). The liquid junction potential was not corrected. Action potential (AP) discharges were recorded in current-clamp mode. For ChR2-assisted circuit mapping, primary afferent synaptic terminals were stimulated with wide-field blue LED illumination through the 40x objective (pE-300, CoolLED, 0.1 ms, 1 ms, and 10 ms pulse width, light intensity = 27 mW). Cell capacitance, current amplitude, latency, and jitter were analyzed using Clampfit (version 10, Molecular Devices). For pharmacology experiments, cells were recorded in a solution containing 1 μM tetrodotoxin (TTX) (1069, Tocris) followed by the addition of 4-aminopyridine (4-AP; 500 μM) (940, Tocris) to the bath.
Tactile and thermal behavioral experiments.
Both male and female mice (2 - 6 months old) of mixed genetic backgrounds were used for behavioral analyses (except for the real-time texture aversion assay in which only male mice were used). All mice (experimental mice and littermate controls) were group housed. Littermates from the same genetic crosses were used as controls for each group to control for variability in mouse strains/genetic backgrounds. Experiments were performed and analyzed by investigators who were blinded to genotype.
von Frey test.
Mice were placed in clear plastic chambers on an elevated wire mesh and the plantar surface of the hindpaw was stimulated with a set of calibrated von Frey filaments (North Coast Medical) 10 times each (0.008 - 4 g). The number of paw withdrawal responses was scored for each von Frey filament.
Hot/cold plate.
Mice were placed on a 55°C hot plate or a 5°C cold plate (IITC) and their behaviors were recorded using a camera (Hero 4, GoPro). Cut-off times were 20 seconds and 3 minutes for 55°C hot plate and 5°C cold plate, respectively. The number of paw-licking episodes (hindpaw licking for hot plate and forepaw licking for cold plate) were manually scored by analyzing video recordings.
Real-time texture aversion.
Male mice were habituated in test chambers (black acrylic, 12 inches x 11.8 inches x 6 inches, 0.25 inch-thickness) for 2 days (10 - 20 minutes each day) prior to the test day. On the test day, mice were first placed in test chambers with a fresh sheet of dusty pink construction paper (338293, Office Depot) on the floor and their baseline preference behaviors were recorded for 10 minutes using a digital USB 2.0 CMOS video camera (60516, Stoelting) mounted directly above the test chambers. Mice were then transferred to the test chambers with sandpapers of two different textures (extra fine grit SP400 (smooth) and coarse grit SP150 (rough), McMaster-Carr) on the either side of the floor and their behaviors were recorded for 10 minutes. The mouse centroid was tracked, and the percentage of time spent on each side of the test chamber was analyzed using a custom program written in Bonsai software (2.3.1)41.
Optogenetic behavioral experiments.
The same criteria were used for mouse handling as described above. Prior to experiments, fiberoptic cannulas implanted into the PBNL were attached through zirconia sleeves (Doric Lenses) to branching fiberoptic patchcords (Doric Lenses) connected to a blue LED (Doric Lenses) and a programmable LED driver (Doric Lenses). Optogenetic stimulation was controlled by the combination of custom programs written in Bonsai software and Doric Neuroscience Studio (4.1.5.2) through an Arduino circuit board (Uno, Arduino) and custom sketches written in Arduino software (1.8.7). Approximately the initial half of the experiments were performed and analyzed by investigators who were not blinded to genotype, and the remainder of the experiments were repeated by investigators who were blinded to genotype.
Locomotion and grooming analyses.
Mice were habituated in test chambers (Clear acrylic, 8.5 inches x 4.5 inches x 5.5 inches, 0.25 inch-thickness) for 2 days (20 minutes each day) prior to the test day. On the test day, mice were placed in test chambers and photostimulation was delivered as described in the figure legends. Locomotor and grooming behaviors were recorded (30 frames/second) with two separate digital USB 2.0 CMOS video cameras mounted directly above and in front of the test chambers. The mouse centroid was tracked, and speed and velocity of mouse locomotion were analyzed at 2 Hz with video files filmed by the camera mounted above of the test chambers using a custom program written in Bonsai software. Mouse grooming and jumping behaviors were analyzed manually using video files filmed by the camera mounted in front of the test chambers by investigators who were blinded to genotype.
NBQX infusion.
300 nl of either saline or the selective AMPA receptor antagonist NBQX (10 mM dissolved in saline, 1044, Tocris) was bilaterally infused into the PBNL through fluid injectors (Doric Lenses) inserted into the dual opto-fluid cannulas implanted into the PBNL (infusion rate was 100 nl / min). After the infusion, fluid injectors were swapped with optical injectors (Doric Lenses) for photostimulation. Locomotor behavior was monitored 0.5 – 1.5 hours after the infusion.
Pupilometry.
Mice were implanted with custom-cut headplates, which were then secured by dental cement (Metabond, Parkell) application. After 3-5 days of recovery, mice were head-fixed and acclimated on the custom-built behavioral apparatus for 2 days (20 - 30 minutes each day) prior to the test day. On the test day, mice were head-fixed and acclimated on the behavioral apparatus for 10 - 20 minutes, and a photostimulation was delivered as described in the figure legends. Pupillary reactions were recorded (30 frames/second) using a digital USB 2.0 CMOS video cameras mounted close to one eye. An infrared illuminator was used to obtain high contrast images of the pupil. The pupil diameter was tracked at 10 Hz using a custom program written in Bonsai software, and peak amplitude and area under the curve (AUC) were analyzed using GraphPad Prism (Version 8, GraphPad Software). Relative change in pupil diameter (ΔD/D) was calculated as follows.
The average baseline pupil diameter was the average of pupil diameter during the one-minute baseline period before the beginning of the first optogenetic stimulation. The long abrupt downward lines in the raw traces of pupil diameter were used as a measure of the number of blinks/squints.
Real-time place preference.
Mice were habituated in test chambers (black acrylic, 12 inches x 11.8 inches x 6 inches, 0.25 inch-thickness) for 2 days (20 minutes each day) prior to the test day. On the test day, mice were placed in test chambers and their preference behaviors during pre-stimulation, stimulation, and post-stimulation sessions (10 minutes each session) were recorded using a digital USB 2.0 CMOS video camera mounted directly above the test chambers. The mouse centroid was tracked real-time using a custom program written in Bonsai software, and photostimulation (10 Hz, 10 ms pulse width) was constantly delivered through Doric Neuroscience Studio and Arduino coupled to the Bonsai program while mice stayed on one side - “stimulated” side - of the chambers (counterbalanced between the two sides).
Lever-pressing assay.
Two levers (ENV-110M, Med Associates) were placed side by side on one side of the test chambers (black acrylic, 10 inches x 8 inches x 8 inches, 0.25 inch-thickness). The original snap action switches inside of the levers were swapped with ones that have lower operating force threshold (480-3021-ND, Digi-Key). The levers were calibrated using von Frey filaments to operate following 4 - 6 g force application. Mice were habituated in test chambers for 2 days (1 hour each day) prior to the test day, and the number of lever presses during the 1-hour session on the third day was used as baseline. During the subsequent eight days (“light on” sessions, 1-hour session each day), mice received an optogenetic stimulation (5 seconds, 10 Hz) when they pressed the active lever, but not the inactive lever (counterbalanced between left and right sides). The active lever was coupled to optogenetic stimulation through Doric Neuroscience Studio and Arduino under control of a custom program written in Bonsai software. The following 5 days (“light off” sessions, 1-hour session each day), optogenetic stimulation was uncoupled from lever-pressing. The number of lever presses was recorded in real-time using custom programs written in Arduino and Bonsai software.
Statistical analysis.
Statistical analyses were performed using GraphPad Prism (Version 8, GraphPad Software). The number of mice used and statistical analyses, including post hoc multiple comparisons tests, used for individual experiments are indicated in the figure legends. The following symbols were used in the figure legends for p-values: ns, not significant; *, p < 0.05; **, p < 0.01; ***, p < 0.001. The exact p-values can be found in the supplementary table 1.
Reporting summary.
Further information on experimental design is available in the Nature Research Reporting Summary linked to this paper.
Data availability.
The data generated in this study are available from the corresponding author upon reasonable request.
Code availability.
The custom codes used in the study are available at GitHub (https://github.com/SebastianChoi/Choi-et-al-Nature2020) or upon request.
Extended Data
Supplementary Material
Acknowledgements
We thank all members of the Ginty laboratory for discussions and critical feedback during the course of the project. We thank David Paul and Clifford Woolf for feedback and critical evaluation of the manuscript, Susan Dymecki for providing Rosa26LSL-FSF-TeTx and Rosa26FSF-LSL-SYN-GFP mouse lines, LaTasha Crawford for help with initial characterization of the Calca-FlpE BAC transgenic mouse line, Travis Dickendesher for help with initial characterization of the AdvillinFlpO knockin mouse line, Connie Cepko for providing AAV1-FLEX-PLAP viruses, Silvia Arber for providing Cre-dependent AAV expression vector encoding synaptophysin-GFP, and Caiying Guo and the Gene Targeting and Transgenic Facility at the Janelia Research Campus of the Howard Hughes Medical Institute for generating mouse lines. We thank Bianca Kun, Maggie Streeter, Celine Breton, and Olivia Gabriel for their assistance with mouse husbandry, and histological and behavioral experiments. This work was supported by the Alice and Joseph E. Brooks Funds (S.C.), the Blavatnik Biomedical Accelerator Fund (S.C. and D.D.G.), NIH grants NS097344, NIH grant AR063772 (S.E.R.), NIH grant NS096705 (H.R.K.), NIH grant NS111643 (M.G.), the Bertarelli Foundation (D.D.G.), The Hock E. Tan and Lisa Yang Center for Autism Research at Harvard Univeristy (D.D.G.), and the Edward R. and Anne G. Lefler Center for Neurodegenerative Disorders (D.D.G). D.D.G. is an investigator of the Howard Hughes Medical Institute.
Footnotes
Competing interests
The authors declare no competing interests.
References
- 1.Abraira VE & Ginty DD The sensory neurons of touch. Neuron 79, 618–639, doi: 10.1016/j.neuron.2013.07.051 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Basbaum AI, Bautista DM, Scherrer G & Julius D Cellular and molecular mechanisms of pain. Cell 139, 267–284, doi: 10.1016/j.cell.2009.09.028 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Todd AJ Neuronal circuitry for pain processing in the dorsal horn. Nature reviews. Neuroscience 11, 823–836, doi: 10.1038/nrn2947 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Wercberger R & Basbaum AI Spinal cord projection neurons: a superficial, and also deep analysis. Current Opinion in Physiology 11, 109–115 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Owens DM & Lumpkin EA Diversification and specialization of touch receptors in skin. Cold Spring Harb Perspect Med 4, doi: 10.1101/cshperspect.a013656 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Haring M et al. Neuronal atlas of the dorsal horn defines its architecture and links sensory input to transcriptional cell types. Nat Neurosci 21, 869–880, doi: 10.1038/s41593-018-0141-1 (2018). [DOI] [PubMed] [Google Scholar]
- 7.Gong S et al. A gene expression atlas of the central nervous system based on bacterial artificial chromosomes. Nature 425, 917–925, doi: 10.1038/nature02033 (2003). [DOI] [PubMed] [Google Scholar]
- 8.Huang T et al. Identifying the pathways required for coping behaviours associated with sustained pain. Nature 565, 86–90, doi: 10.1038/s41586-018-0793-8 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Sabatier C et al. The divergent Robo family protein rig-1/Robo3 is a negative regulator of slit responsiveness required for midline crossing by commissural axons. Cell 117, 157–169, doi: 10.1016/s0092-8674(04)00303-4 (2004). [DOI] [PubMed] [Google Scholar]
- 10.Bourane S et al. Gate control of mechanical itch by a subpopulation of spinal cord interneurons. Science 350, 550–554, doi: 10.1126/science.aac8653 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Abraira VE et al. The Cellular and Synaptic Architecture of the Mechanosensory Dorsal Horn. Cell 168, 295–310 e219, doi: 10.1016/j.cell.2016.12.010 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Palmiter RD The Parabrachial Nucleus: CGRP Neurons Function as a General Alarm. Trends Neurosci 41, 280–293, doi: 10.1016/j.tins.2018.03.007 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Fulwiler CE & Saper CB Subnuclear organization of the efferent connections of the parabrachial nucleus in the rat. Brain Res 319, 229–259, doi: 10.1016/0165-0173(84)90012-2 (1984). [DOI] [PubMed] [Google Scholar]
- 14.Han S, Soleiman MT, Soden ME, Zweifel LS & Palmiter RD Elucidating an Affective Pain Circuit that Creates a Threat Memory. Cell 162, 363–374, doi: 10.1016/j.cell.2015.05.057 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Chiang MC et al. Divergent Neural Pathways Emanating from the Lateral Parabrachial Nucleus Mediate Distinct Components of the Pain Response. Neuron, doi: 10.1016/j.neuron.2020.03.014 (2020). [DOI] [PubMed] [Google Scholar]
- 16.Langford DJ et al. Coding of facial expressions of pain in the laboratory mouse. Nat Methods 7, 447–449, doi: 10.1038/nmeth.1455 (2010). [DOI] [PubMed] [Google Scholar]
- 17.Craig AD, Krout K & Andrew D Quantitative response characteristics of thermoreceptive and nociceptive lamina I spinothalamic neurons in the cat. J Neurophysiol 86, 1459–1480, doi: 10.1152/jn.2001.86.3.1459 (2001). [DOI] [PubMed] [Google Scholar]
- 18.Hachisuka J et al. Semi-intact ex vivo approach to investigate spinal somatosensory circuits. Elife 5, doi: 10.7554/eLife.22866 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bester H, Chapman V, Besson JM & Bernard JF Physiological properties of the lamina I spinoparabrachial neurons in the rat. J Neurophysiol 83, 2239–2259, doi: 10.1152/jn.2000.83.4.2239 (2000). [DOI] [PubMed] [Google Scholar]
- 20.Andrew D Quantitative characterization of low-threshold mechanoreceptor inputs to lamina I spinoparabrachial neurons in the rat. J Physiol 588, 117–124, doi: 10.1113/jphysiol.2009.181511 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Liu Q et al. Molecular genetic visualization of a rare subset of unmyelinated sensory neurons that may detect gentle touch. Nat Neurosci 10, 946–948, doi: 10.1038/nn1937 (2007). [DOI] [PubMed] [Google Scholar]
- 22.Li L et al. The functional organization of cutaneous low-threshold mechanosensory neurons. Cell 147, 1615–1627, doi: 10.1016/j.cell.2011.11.027 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Rau KK et al. Mrgprd enhances excitability in specific populations of cutaneous murine polymodal nociceptors. J Neurosci 29, 8612–8619, doi: 10.1523/JNEUROSCI.1057-09.2009 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kalueff AV, Aldridge JW, LaPorte JL, Murphy DL & Tuohimaa P Analyzing grooming microstructure in neurobehavioral experiments. Nat Protoc 2, 2538–2544, doi: 10.1038/nprot.2007.367 (2007). [DOI] [PubMed] [Google Scholar]
- 25.McGlone F, Wessberg J & Olausson H Discriminative and affective touch: sensing and feeling. Neuron 82, 737–755, doi: 10.1016/j.neuron.2014.05.001 (2014). [DOI] [PubMed] [Google Scholar]
- 26.Foerster O, Breslau O, and Gagel O Die Vorderseitenstrangdurchschneidung beim Menschen: Eine klinisch-patho-physiologisch-anatomische Studie. Z. Gesamte Neurol. Psychiatr 138, 1–92 (1932). [Google Scholar]
- 27.Lahuerta J, Bowsher D, Campbell J & Lipton S Clinical and instrumental evaluation of sensory function before and after percutaneous anterolateral cordotomy at cervical level in man. Pain 42, 23–30, doi: 10.1016/0304-3959(90)91087-y (1990). [DOI] [PubMed] [Google Scholar]
- 28.Hill R NK1 (substance P) receptor antagonists--why are they not analgesic in humans? Trends Pharmacol Sci 21, 244–246 (2000). [DOI] [PubMed] [Google Scholar]
- 29.Baseer N, Al-Baloushi AS, Watanabe M, Shehab SA & Todd AJ Selective innervation of NK1 receptor-lacking lamina I spinoparabrachial neurons by presumed nonpeptidergic Adelta nociceptors in the rat. Pain 155, 2291–2300, doi: 10.1016/j.pain.2014.08.023 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Gomes I et al. Identification of GPR83 as the receptor for the neuroendocrine peptide PEN. Science signaling 9, ra43, doi: 10.1126/scisignal.aad0694 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Hooks BM, Lin JY, Guo C & Svoboda K Dual-channel circuit mapping reveals sensorimotor convergence in the primary motor cortex. J Neurosci 35, 4418–4426, doi: 10.1523/JNEUROSCI.3741-14.2015 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kim JC et al. Linking genetically defined neurons to behavior through a broadly applicable silencing allele. Neuron 63, 305–315, doi: 10.1016/j.neuron.2009.07.010 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Niederkofler V et al. Identification of Serotonergic Neuronal Modules that Affect Aggressive Behavior. Cell Rep 17, 1934–1949, doi: 10.1016/j.celrep.2016.10.063 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zhou X et al. Deletion of PIK3C3/Vps34 in sensory neurons causes rapid neurodegeneration by disrupting the endosomal but not the autophagic pathway. Proc Natl Acad Sci U S A 107, 9424–9429, doi: 10.1073/pnas.0914725107 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Rutlin M et al. The cellular and molecular basis of direction selectivity of Adelta-LTMRs. Cell 159, 1640–1651, doi: 10.1016/j.cell.2014.11.038 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Vrontou S, Wong AM, Rau KK, Koerber HR & Anderson DJ Genetic identification of C fibres that detect massage-like stroking of hairy skin in vivo. Nature 493, 669–673, doi: 10.1038/nature11810 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Pivetta C, Esposito MS, Sigrist M & Arber S Motor-circuit communication matrix from spinal cord to brainstem neurons revealed by developmental origin. Cell 156, 537–548, doi: 10.1016/j.cell.2013.12.014 (2014). [DOI] [PubMed] [Google Scholar]
- 38.Fenno LE et al. Targeting cells with single vectors using multiple-feature Boolean logic. Nat Methods 11, 763–772, doi: 10.1038/nmeth.2996 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Tervo DG et al. A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons. Neuron 92, 372–382, doi: 10.1016/j.neuron.2016.09.021 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Lin JY, Knutsen PM, Muller A, Kleinfeld D & Tsien RY ReaChR: a red-shifted variant of channelrhodopsin enables deep transcranial optogenetic excitation. Nat Neurosci 16, 1499–1508, doi: 10.1038/nn.3502 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Lopes G et al. Bonsai: an event-based framework for processing and controlling data streams. Front Neuroinform 9, 7, doi: 10.3389/fninf.2015.00007 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data generated in this study are available from the corresponding author upon reasonable request.