Significance
The CHRNA5-A3-B4 gene cluster, which encodes the α5, α3, and β4 nicotinic acetylcholine receptor subunits, has been genetically associated with high risk of developing nicotine dependence. Here we show that a specific α5 nicotinic receptor population in the midbrain interpeduncular nucleus (IPN) responds to chronic nicotine by increasing the expression of genes that regulate feedback inhibition of the medial habenula, the major source of input to the IPN. Inhibiting neurotransmitter release from this population of α5+ neurons or reducing expression of one of these genes, Nos1, blocks the rewarding effects of nicotine. Our data identify molecular mechanisms that may explain the genetic link between CHRNA5 and smoking predisposition in humans.
Keywords: nicotine, interpeduncular nucleus, retrograde, α5 nicotinic
Abstract
Repeated exposure to drugs of abuse can produce adaptive changes that lead to the establishment of dependence. It has been shown that allelic variation in the α5 nicotinic acetylcholine receptor (nAChR) gene CHRNA5 is associated with higher risk of tobacco dependence. In the brain, α5-containing nAChRs are expressed at very high levels in the interpeduncular nucleus (IPN). Here we identified two nonoverlapping α5+ cell populations (α5-Amigo1 and α5-Epyc) in mouse IPN that respond differentially to nicotine. Chronic nicotine treatment altered the translational profile of more than 1,000 genes in α5-Amigo1 neurons, including neuronal nitric oxide synthase (Nos1) and somatostatin (Sst). In contrast, expression of few genes was altered in the α5-Epyc population. We show that both nitric oxide and SST suppress optically evoked neurotransmitter release from the terminals of habenular (Hb) neurons in IPN. Moreover, in vivo silencing of neurotransmitter release from the α5-Amigo1 but not from the α5-Epyc population eliminates nicotine reward, measured using place preference. This loss of nicotine reward was mimicked by shRNA-mediated knockdown of Nos1 in the IPN. These findings reveal a proaddiction adaptive response to chronic nicotine in which nitric oxide and SST are released by a specific α5+ neuronal population to provide retrograde inhibition of the Hb-IPN circuit and thereby enhance the motivational properties of nicotine.
The interpeduncular nucleus (IPN) is a single midline nucleus beneath the ventral tegmental area that receives the majority of its input from the medial habenula (MHb) and is reciprocally connected to the raphe nuclei (1–3). Recent evidence has highlighted a role of the IPN in nicotine consumption and withdrawal due to its high expression of the α5 nicotinic acetylcholine receptor (nAChR) subunit gene, the allelic variation in which is linked to increased risk of nicotine dependence (4–9).
The α5 subunit is considered an accessory component of functional nAChRs, active only when combined with both α- and β-nAChR subunits (8, 10). Incorporation of α5 to heteromeric nAChRs channels potently increases their sensitivity to nicotine (8). Mice with a null mutation of the Chrna5 gene self-administer more nicotine at higher, aversive doses, while reexpression of α5 in the MHb of α5 KO mice restored nicotine self-administration to wild-type (WT) levels, suggesting that α5 functions to limit nicotine intake (6). Viral-mediated expression of the most common genetic variant in CHRNA5, found in heavy smokers, α5D398N, in the MHb of β4-overexpressing (Tabac) mice, which otherwise show enhanced aversion to nicotine, was sufficient to increase their nicotine intake to WT levels (7). α5 is also expressed in cortical interneurons, and mice expressing the human α5D398N variant exhibit neurocognitive behavioral deficits that resemble the hypofrontality observed in patients with schizophrenia and addiction (9). α5 has also been implicated in nicotine withdrawal (11–13), characterized by somatic and affective symptoms, including increased anxiety (14, 15). Reexposure to nicotine during withdrawal increases intrinsic pacemaking activity of MHb cholinergic neurons (16). IPN neurons are activated during nicotine withdrawal, and optical activation of IPN GABAergic cells is sufficient to produce a withdrawal syndrome, while blockade of GABAergic cells in the IPN reduced symptoms of withdrawal (17). Taken together these studies highlight the critical role of α5 in regulating behavioral responses to nicotine.
Here we characterize two subpopulations of GABAergic neurons in the IPN that express α5: α5-Amigo1 and α5-Epyc neurons. The translational profile of α5-Amigo1 cells, but not α5-Epyc, shows enrichment for Nos1 and Sst. While the presence of strong neuronal nitric oxide synthase (NOS1) expression in the IPN has been reported in cells that project to the dorsal raphe (DR) (18), no studies have been conducted to determine its function in IPN circuitry. Here, we show that the α5-Amigo1 population utilizes nitric oxide (NO) and somatostatin (SST) to provide retrograde inhibition of excitatory inputs from the MHb to the IPN. Consistent with this retrograde mechanism, MHb neurons are enriched with the receptors for NO (soluble guanylyl cyclases) and with SST receptors. We demonstrate that α5-Amigo1 neurons increase their production of NO and SST in response to chronic nicotine, providing greater feedback inhibition onto MHb inputs. This action serves to limit the release of habenula-derived glutamate and enhances the motivational properties of nicotine. These results reveal a critical role for the α5-Amigo1 population of IPN cells in regulating the rewarding properties of nicotine through feedback inhibition of MHb inputs. Furthermore, our findings suggest that adaptive responses in this α5-Amigo1 controlled molecular circuitry likely plays an important role in regulating the development of nicotine dependence.
Results
α5-Expressing Neurons Can Be Subdivided into Two Populations.
Using translating ribosomal affinity profiling (TRAP) (19) combined with RNA sequencing (RNA-Seq), we set out to determine which genes were being actively translated by discrete populations of α5+ cells in the IPN using Chrna5-Cre mice crossed to ribosome-tagged EGFP-L10a mice (Fig. 1A). In Chrna5-Cre mice, the Chrna5-Chrna3-Chrnb4 gene cluster was overexpressed in IPN neurons (Fig. S1 and Datasets S1 and S2), which reduces the utility of these mice for investigating the behavioral actions of nicotine, since increased nAChR levels in MHb/IPN are known to affect nicotine reward and withdrawal processes (6, 7, 12, 20). Nevertheless, these mice provide a useful tool to target α5+ neurons and investigate their transcriptional mechanisms. Of the genes expressed in α5+ cells, we identified two highly enriched genes, Amigo1 and Epyc, both encoding cell-surface adhesion proteins with relatively little-known function in the CNS. We characterized the translational profile of Amigo1-Cre::EGFP-L10a and Epyc-Cre::EGFP-L10a mice. We confirmed that both α5-Amigo1 (Fig. 1B and Dataset S3) and α5-Epyc (Fig. 1C and Dataset S4) cells express the Chrna5-Chrna3-Chrnb4 gene cluster at normal levels. Receptor and neurotransmitter expression profiling revealed that they are both GABAergic, as expected, and express a wide variety of acetylcholine (ACh), glutamate, GABA, and serotonin receptors. This profile is unique to the IPN and differs significantly from cholinergic MHb neurons (Fig. 1D and Datasets S1 and S3–S5). Consistent with existing data (17, 18), we found that α5+ cells were also enriched in Sst and Nos1; however, the α5-Amigo1 population was more highly enriched for these two transcripts than the α5-Epyc population (Fig. 1D). MHb ChAT neurons express the receptors for both neurotransmitters at higher levels than IPN neurons (Sstr2 and Sstr4, Gucy1b3 and Gucy1a3) (Fig. 1D). High expression of these and other enriched TRAP-translated mRNAs in the two IPN populations matched the in situ hybridization signal of mRNA transcripts in the Allen Brain Atlas (Fig. S2). Analysis of the three populations revealed a great deal of similarity among them (Fig. 1E), although the profiles for α5-Amigo1 and α5-Epyc indicate that these are distinct subpopulations of α5-expressing IPN neurons.
α5-Amigo1 and α5-Epyc Cells Are Two Nonoverlapping Populations with Complementary Distribution in the IPN.
To determine the distribution of the two subpopulations, we employed Cre-dependent adeno-associated virus (AAV)-DIO-EGFP-L10a to label nuclei, AAV-DIO-ChR2-eYFP to label axons and dendrites, and AAV-DIO-mCherry to label cell bodies and, to a lesser extent, dendrites (Fig. 2A). While both α5-Amigo1 and α5-Epyc cells are distributed throughout the rostral nucleus of the IPN (IPR), α5-Epyc cells are also found in the intermediate nucleus (IPI) (Fig. 2A). Note the complementary distribution of processes in the ventral half of the IPN between α5-Amigo1- and α5-Epyc-labeled neurons. To determine the overlap between populations, we crossed Amigo1-Cre mice with Epyc-EGFP mice and injected AAV-DIO-ChR2-mCherry to distinguish α5-Amigo1 cells (red) from α5-Epyc cells (green) in the same animal (Fig. 2 B–D and Fig. S3). Confocal imaging in the IPN showed that no cells were colabeled and allowed us to trace the anterograde projections of each population (Fig. 2 B and C and Fig. S3 A–C). α5-Amigo1 cells contribute the majority of projections from the IPN to the median (MR), paramedian (PMR), and the DR, as well as the area surrounding the laterodorsal tegmentum (LDTg). There is also a small ascending projection back to the MHb and to the thalamus (Fig. S3A). Note that the Epyc-EGFP population appears to be composed of several local populations in the IPN and along the IPN–raphe axis (Fig. 2 B and C and Fig. S3C). Within the IPN, local projections between the two IPI areas were evident (Fig. 2A and Fig. S3C) and confirmed by streptavidin filling in acute slices (Fig. S3E). We next performed retrograde experiments to trace the monosynaptic inputs to α5-Amigo1 and α5-Epyc populations using Cre-dependent rabies virus (21). We found that both α5-Amigo1 and α5-Epyc populations receive major input from the MHb and raphe (Fig. 2 E and F and Fig. S3 D–F). Smaller sources of direct input to the IPN included the septum and a previously uncharacterized projection from the prefrontal cortex. No striking differences were observed between α5-Amigo1 and α5-Epyc inputs, although α5-Amigo1 appeared to have a larger component of input from the medial septum and dorsal raphe. Together these data show that α5-Amigo1 and α5-Epyc are two nonoverlapping IPN populations that both receive their main input from the MHb, but that one projects locally (α5-Epyc) while the other (α5-Amigo1) sends long projections to raphe and LDTg areas.
Chronic Nicotine Increases Sst and Nos1 in α5-Amigo1 Neurons.
Given that habenulo-interpeduncular α5 has a critical role in nicotine reward and withdrawal (6, 7, 11), we sought to determine whether nicotine can induce molecular changes in IPN neurons carrying α5 receptors. To this end, we administered nicotine in the drinking water of Amigo1-Cre::EGFP-L10a and Epyc-Cre::EGFP-L10a mice for 6 wk before performing TRAP. We found that chronic nicotine significantly changed the translational levels of a large number of genes in α5-Amigo1 cells (300 mRNAs up-regulated and 1,539 mRNAs down-regulated, Datasets S6–S9). Strikingly, despite the fact that α5-Epyc cells express similar amounts of Chrna5-translated mRNAs as α5-Amigo1 (Fig. 3A), chronic nicotine altered the levels of a much smaller set of genes in these cells (24 mRNAs up-regulated and 51 down-regulated mRNAs, Datasets S10 and S11). The RNA-Seq normalized counts for the different nicotinic receptor subunits did not change with chronic nicotine in any of the populations, except for a significant increase of Chrna2 mRNAs in α5-Amigo1 cells (Fig. 3A and Datasets S6–S14). Of the large number of mRNAs regulated in α5-Amigo1 cells, Sst and Nos1 mRNA induction was remarkable (log2 fold change 1.37 for Nos1 3′ UTR and 2.67 for Sst, Fig. 3B and Datasets S6–S9). We confirmed that this increase in translated mRNAs corresponded to an increase at the protein level (Fig. 3 C and D). Comparison of TRAP mRNA-Seq of different brain cell types showed that Nos1- and Sst-translated mRNA levels are extremely high in α5-Amigo1 cells, while subunits for the NO receptor soluble guanylyl cyclase (GC) Gucy1a3, Gucy1b3, and SST receptors Sstr2 and Sstr4 are expressed in several cell types and at high levels in cholinergic habenular neurons (22, 23) (Fig. 3E). Expression of NOS1 in Amigo1-Cre but not Epyc-Cre neurons, as well as GUCY1B3 and SSTR2 in the MHb and its projections to the IPN were confirmed by immunohistochemistry (IHC) (Fig. 3F and Fig. S4). These data demonstrate that chronic exposure to nicotine strongly and specifically impacts the α5-Amigo1 subpopulation of IPN neurons, suggesting adaptive changes in these cells that may play a crucial role in the establishment of dependence.
IPN Neurons Provide Feedback Inhibition to MHb via NO and SST.
Given that IPN α5-Amigo1 neurons enriched in Nos1 and Sst are synaptically connected to MHb neurons (Fig. 2), and that MHb ChAT neurons express the receptors for NO and SST (Figs. 1 and 3), we sought to determine whether there was a functional connection between the IPN and MHb utilizing these neurotransmitters. We performed slice electrophysiology in ChAT-ChR2 mice. These mice express channelrhodopsin in cholinergic MHb neurons, which heavily innervate the NOS1-enriched area in the IPN (Fig. 4 A–C). Photostimulation of cholinergic axon terminals has been shown to evoke postsynaptic responses in IPN neurons mediated by glutamate and ACh corelease (24). Application of sodium nitroprusside (SNP), a nitric oxide donor, in the presence of nAChR blockers, suppressed light-evoked excitatory postsynaptic currents (EPSCs) in the IPN, indicating that NO decreases glutamate release from MHb terminals (Fig. 4 D–F). This effect was long lasting and recovered minimally after washout. Glutamate release from MHb terminals was also suppressed by erythro-9-(2-hydroxy-3-nonyl)adenine (EHNA), an inhibitor of the cGMP-activated phosphodiesterase PDE2A, and was not further suppressed by addition of SNP (Fig. S5), indicating that the NO suppression is mediated by an increase in cGMP in habenular neurons. Similarly, application of SST to ChAT-ChR2 brain slices reduced light-evoked EPSCs in the IPN, with greater recovery after washout (Fig. 4 G–I). This presynaptic inhibition is most likely mediated by SSTR2 and SSTR4 receptors (Gi/o signaling), which are heavily expressed in MHb ChAT neurons (Figs. 1 and 3). These results demonstrate strong presynaptic inhibition of habenular neurons by NO and SST. Since nicotine up-regulates Nos1 and Sst expression in α5-Amigo1 cells, these data suggest important physiological and behavioral roles for these neurotransmitters in modulation of synaptic transmission by cAMP- and cGMP-signaling pathways in the MHb/IPN circuit.
Silencing α5-Amigo1 Cells or Inhibiting NO Production in the IPN Eliminates Nicotine Preference.
Finally, to investigate the functional role that α5 cells might play in the behavioral response to nicotine, we utilized AAVs expressing Cre-dependent membrane-tethered Ca2+-channel toxins (tToxins) that prevent neurotransmitter release (25) to silence either α5-Amigo1 or α5-Epyc cells in the IPN (Fig. 5A). Mice were subjected to a battery of tests to explore any behavioral consequence of silencing α5 cells. No significant differences were observed between control- and tToxin-injected animals in locomotion, anxiety, despair, or in sensory gating tests (Dataset S15). We performed conditioned place preference (CPP) for a rewarding dose of nicotine, 0.35 mg/kg free base. Silencing α5-Amigo1 cells prevented place preference for nicotine, whereas silencing α5-Epyc cells had no effect (Fig. 5B). Similar to CPP results, Amigo1-Cre mice injected with tToxins consumed less nicotine than control mice, while silencing IPN cells in Epyc-Cre mice had no effect on consumption (Fig. 5C). Given these differences in the response of nicotine between populations, we performed electrophysiological recordings. Patch-clamp recordings with local puff application of nicotine showed large nAChR-evoked currents in α5-Amigo1 cells (Fig. 5D). Within the α5-Epyc population we distinguished two types of populations with distinct morphology and basic electrophysiological properties (Fig. 5E and Fig. S6). α5-Epyc cells in the IPR showed similar nicotine-evoked current amplitudes as α5-Amigo1 cells (the majority of which are in the IPR), while strikingly, α5-Epyc cells in the IPI, which constitute the majority of the α5-Epyc population, responded poorly to nicotine (Fig. 5E). Given these IPN regional differences in the response to nicotine and the enrichment of NOS1 in the IPR, we next sought to determine a possible role of Nos1 in nicotine reward. We injected WT mice with AAV-expressing shRNA against Nos1 (Fig. 5F) and found that, similar to silencing α5-Amigo1 cells, knockdown of Nos1 locally in the IPN was sufficient to block preference for a rewarding dose of nicotine (Fig. 5G). These results demonstrate that a specific subset of α5+ IPN neurons respond at the molecular level to chronic nicotine exposure and that these adaptive changes may in turn play a crucial role in the establishment of dependence.
Discussion
In this study, we employed translational profiling to identify a neuronal population in the IPN that expresses high levels of α5 nAChRs and responds to chronic nicotine by up-regulating Nos1 and Sst. We find that NO and SST application in the IPN abolishes synaptic release from habenular neurons enriched in receptors for both neurotransmitters. Inhibition of retrograde signaling, either by silencing neurotransmitter release from the α5-Amigo1 population or knocking down NO production in the IPN, eliminates preference for a rewarding dose of nicotine. Our data demonstrate a strong effect of nicotine on the production of NO and SST and delineate a signaling pathway that provides presynaptic inhibition as an adaptive mechanism to locally reduce the activity of the Hb-IPN circuit in response to chronic nicotine.
Unlike classical neurotransmitters that transfer information from axonal presynaptic release sites to postsynaptic receptors, neuropeptides and NO ignore directionality of information flow and can transmit signals outside the typical synapse. Neuropeptides, including SST, can be released from dendrites, soma, and axons (26), while NO is a membrane-permeable hydrophobic gas (27, 28). While this is a study that examines the functional role of SST and NO in the IPN, critical roles for NO and SST signaling in neuronal plasticity and transmission have been established in other areas of the brain (29–31). For example, SST interneurons in the neocortex serve as prominent sources of inhibition, in part via activation of SSTR2/4 (Gi/o inhibitory) that reduce cAMP and suppress neuronal firing in pyramidal neurons (29). We believe a similar situation occurs in the MHb/IPN where SST release from IPN activates habenular SSTR2/4, reduces cAMP, and inhibits presynaptic neurotransmission. In favor of this hypothesis, raising cAMP levels has been shown to increase glutamatergic EPSC amplitudes in the IPN (32), and activation of GLP-1 receptors (Gs coupled) diminished nicotine self-administration, an effect that can be counteracted by a cAMP inhibitor (33). Likewise, in habenular neurons cGMP production has been shown to activate PDEA2, which depletes cAMP levels and suppresses presynaptic neurotransmission (34). We predict that NO binding to soluble GC activates this cascade, since NO suppression of glutamate release is blocked by PDE2A inhibitors. Taken together these and the present studies indicate that cGMP–cAMP fluctuations in habenular terminals critically influence nicotine consumption.
The MHb/IPN circuit is structurally complex, with multiple en passant synapses present on MHb axons that crisscross the IPN multiple times (35) (Fig. S3D). This unique anatomy may be required to facilitate retrograde volume transmission of NO and possibly SST. It has been shown, for example, that an array of puncta 2 μm apart is necessary for volume transmission by NO (36). Although glutamate release from the MHb may be sufficient to activate NOS1, as canonically its activation is directly linked to calcium influx through NMDA receptors, NOS1 can also be coupled to nicotinic receptors as previously observed in autonomic neurons in the periphery (37). We speculate that the high-frequency corelease of glutamate and ACh by MHb is required for maximal NO production. Data from cortex and hippocampus suggest that spike burst patterns are highly effective at inducing neuropeptide and NO release, with increased frequency of action potentials increasing neuropeptide release from both axons and dendrites (26, 36). Given that habenular neurons employ pacemaking, firing at roughly 10–20 Hz (16), one could postulate that the increase in SST seen with chronic nicotine is due to increased pacemaking of habenular neurons. The mechanism of neuropeptide release, like neurotransmitter release, is calcium dependent, and our findings here suggest that tToxins likely affect release of SST by blocking calcium influx associated with depolarization, as it has been shown that some neuropeptides utilize P/Q- and N-type voltage-gated calcium channels for dendritic release (26).
One of the most striking findings is that despite expressing similar amounts of α5 receptors, the α5-Epyc population demonstrated no appreciable molecular or behavioral changes in response to acute or chronic nicotine. Is there a limiting factor? A possible explanation is that the α2 nicotinic receptor subunit is strongly up-regulated with nicotine in α5-Amigo1 cells (Fig. 3A). α2 predominantly associates with β2 subunits in the IPN (38) and reconstitution of α2α5β2 heterodimers in lipid bilayers forms functional channels with nanomolar agonist affinity similar to α4β2 receptors (39). Since α5, α2, and β2 subunits are well expressed in the IPN (Fig. 3), and α5 and α2 null mice have similar nicotine-related phenotypes: potentiated self-administration (6, 40) and reduced withdrawal in a habituated environment (11), it seems likely, therefore, that these subunits work together in the IPN and that nicotine stimulation of α2 further amplifies the response of α5-Amigo1 cells to nicotine. In favor of this hypothesis we observed high nicotine-evoked currents in the IPR where α2 and α5 coexist [see in situ hybridization (ISH) in Fig. S2] but not in the IPI region where the nonresponsive α5-Epyc subpopulation is located (Fig. 5). Interestingly human genetic studies have linked nicotine dependence not only to CHRNA5 variants (4, 41) but also more recently to CHRNA2 (42). IPI α5-Epyc cells also specifically express Lynx1 (Fig. S2 and Dataset S4), a prototoxin modulator that limits nAChR currents, that could have an important influence on its responses to nicotine (43). The fact that ChAT MHb neurons also display no translational changes to nicotine exposure (Fig. 3 and Datasets S13 and S14) provides additional support for the hypothesis that responses to chronic nicotine must reflect specific nAChRs and modulators that are characteristic of that cell type.
Although the molecular adaptations that occur in α5-Amigo1 neurons must play an important role in the behavioral differences we have documented here, it is important to note that their signaling to the raphe and LDTg (Fig. 2 and Fig. S3) may also modulate the circuit. In this context, it is particularly interesting that serotonergic neurons in the raphe also express high amounts of the soluble GC dimer Gucy1a3/b3 (Fig. 3, serotoninergic cells). Since the IPN is reciprocally connected to raphe and retrogradely connected to MHb, nicotine activation of the IPN could release NO to synchronously suppress the activity of MHb, IPN, and raphe. This possibility will require additional investigation of the specific responses of raphe neurons to α5-Amigo1 activation in the context of NO inhibition. Taken together, these results highlight the critical role of a unique α5 population in the IPN in detecting and signaling nicotine in the brain.
Methods
Details for all materials and methods can be found in SI Materials and Methods.
Mice.
All studies were done in accordance with National Institutes of Health and Institutional Animal Care and Use guidelines. All procedures and protocols were approved by the Animal Care Committee of The Rockefeller University. Information regarding specific lines used are in SI Materials and Methods.
Translating Ribosome Affinity Purification and RNA-Seq.
TRAP was conducted in at least duplicates as previously described (SI Materials and Methods). Immunoprecipitated (IP) and total mRNA fractions purified for TRAP were subjected to RNA sequencing on an Illumina HiSEq 2500.
Histology and Confocal Imaging.
Staining of sections from Chrna5-eGFP, Amigo1-Cre, and Epyc-Cre mice with anti-GFP, anti-mCherry, anti-ChAT, anti-NOS1, anti-GUCY1B3, and anti-SSTR2 antibodies was done as described in SI Materials and Methods.
Nicotine Treatment.
All nicotine doses are reported as free base. For acute nicotine, mice were administered 0.35 mg/kg, i.p. For chronic nicotine exposure, mice were given nicotine (500 mg/L) in the drinking water for 6 wk.
Surgical Procedures for Microinjections.
Mice were injected with the indicated virus into the IPN (coordinates, anteroposterior, −3.6 mm from Bregma; mediolateral, −1.7 mm from midline; dorsoventral, −5 mm from dura, 20° angle).
Electrophysiological Recordings.
For whole-cell recordings of the NO and SST effects, patch pipettes were filled with internal solution that contained the following (in millimoles): 130 K-gluconate, 10 Hepes, 0.6 EGTA, 5 KCl, 3 Na2ATP, 0.3 Na3GTP, 4 MgCl2, and 10 Na2-phosphocreatine. Cells were recorded at 30–33 °C. For full details see SI Materials and Methods.
Statistical Analysis.
Sets of data are presented by their mean values and SEMs. The unpaired one- or two-tailed Student t test was used when comparing two sets of data with normal distribution.
Supplementary Material
Acknowledgments
We thank Awni Mousa for analysis of TRAP data; Marian Mellen for critical discussion of the manuscript and the data; and Laura Kus, Syed Samin Shehab, Claire Warriner, and Johana Alvarez for assistance. A.G. received Deutsche Forschungsgemeinschaft Fellowship GO 2334/1-1. This work was supported by NIH P30 DA035756-01 (to N.H. and I.I.-T.), DA020686 (to P.J.K.), National Natural Science Foundation of China Grants 91432114 and 91632302 (to M.L.), and the Leon Black Family Foundation (I.I.-T. and N.H.). N.H. is a Howard Hughes Medical Institute investigator.
Footnotes
The authors declare no conflict of interest.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1717506114/-/DCSupplemental.
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