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Neural injury disrupts the extracellular milieu through tissue breakdown, neuroinflammation and altered oxygen tension. To cope with stress, injured neurons deploy safeguard mechanisms that adjust metabolism, synaptic activity and regenerative gene programs. However, how neurons coordinate the balance between stress adaptation and regenerative demands remains poorly understood.

Basic helix–loop–helix/PER-ARNT-SIM (bHLH-PAS) transcription factors (TFs) act as molecular sensors of environmental and physiological signals. Within this family, BMAL1 coordinates circadian rhythm, HIF1α mediates hypoxia responses and AhR detects xenobiotics and endogenous metabolites3,4. We recently showed that BMAL1 gates regenerative responses of dorsal root ganglion (DRG) neurons after peripheral axotomy5 and others showed that intermittent hypoxia enhances axon regeneration through HIF1α activation6. AhR and HIF1α are structurally related α-subunits that share the dimerization partner ARNT (HIF1β), yet the roles of AhR or ARNT in axonal injury, and their interplay with HIF1α and BMAL1, remain largely unexplored.

AhR is unique among bHLH-PAS TFs as the only ligand-activated member7. Originally identified as a sensor of environmental toxins such as dioxin, AhR responds to diverse dietary, microbial and metabolic molecules7. After ligand binding, AhR translocates to the nucleus, dimerizes with ARNT and regulates transcription through AhR response elements (AHREs)8. Canonical AhR signalling induces xenobiotic-metabolizing enzymes of the P450 family and NRF2-dependent antioxidants. Multiple feedback mechanisms restrain AhR activity, including CYP1-mediated ligand metabolism9 and induction of the AhR repressor (AhRR), underscoring the need for tight control to prevent toxicity from sustained AhR activation8.

Competition with HIF1α for ARNT provides an additional regulatory layer10. Depending on the temporal and cellular context, AhR and HIF1α can antagonize, cooperate or synergize11,12. Recent work suggests temporally gated access to ARNT, with HIF1α acting first and AhR subsequently taking over12.

Although AhR has been extensively studied in toxicology, barrier tissue biology and immunity, its neuronal functions, particularly in injury, remain poorly defined. DRG neurons offer an excellent model for axon regeneration: peripheral axotomy elicits robust regrowth, whereas central axotomy does not; however, a conditioning peripheral nerve lesion (PL) can prime central DRG axons for regeneration13,14.

Here we show that DRG neurons are responsive to ligand-mediated AhR signalling, which acts as a brake on axon regeneration. Neuronal deletion of AhR enhanced axonal regrowth in both peripheral nerve and spinal cord injury (SCI) models. Mechanistically, AhR activation induced an injury regulon that reinforces protein homeostasis (proteostasis), whereas AhR loss shifted neurons towards elevated protein translation, metabolism and pro-growth signalling. We further identify cross-talk between AhR, HIF1α and ARNT in balancing neuronal stress adaptation with regenerative growth. Together, these findings establish AhR as a central regulator of the stress–growth switch after axotomy and suggest that targeting AhR may provide therapeutic opportunities for neural repair after SCI.

DRG neurons respond to AhR signalling

To examine transcriptional regulatory networks after axonal injury, we analysed early-response TFs identified in axotomized DRGs at 12 or 24 h after PL (regenerative) versus central lesion (non-regenerative)15. STRING analysis revealed extensive interconnections among established regeneration-associated TFs (ATF316, SOX1117, JUN18, SMAD115,19 and ATF420) and TFs encoded by immediate early genes (EGR1 and CREM), but no functional links to AhR (Fig. 1a). A broader network of 39 TFs implicated in axon regeneration21 likewise showed connectivity among SMAD, FOS, STAT and JUN, without association with AhR (Extended Data Fig. 1a).

Fig. 1: DRG neurons respond to AhR, which restricts axon outgrowth.
Fig. 1: DRG neurons respond to AhR, which restricts axon outgrowth.
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a, STRING analysis shows no direct link between AhR and regeneration-associated TFs. b, Cytoplasm (cyt.) to nucleus (nuc.) AhR shuttling in cultured DRG neurons after 1.5 h exposure to ITE or CH (10 μM). n = 100 neurons per condition. d, days; Veh, vehicle. c, Ligand-mediated AhR activation induces target genes through the AHRE. d, RT–qPCR analysis of DRG neurons after 24 h agonist or antagonist treatment (25 μM). n = 4 cultures. FC, fold change. e, Immunoblot analysis of DRGs after in vivo ITE treatment (10 mg per kg, i.p.) showing CYP1B1 induction and AhR electrophoretic mobility shift. Quantification of the presented immunoblot is shown; the experiment was repeated three times with similar results. f, IF analysis showing increased nuclear AhR in DRG neurons from ITE-treated mice (arrows). n = 10 neurons per DRG from 9 sciatic DRGs, 3 mice per group. g, RT–qPCR and IF analysis confirm Ahr knockdown in primary DRG neurons 48 h after siRNA. n = 4 cultures. Ctrl, control. h, Neurite outgrowth in cultured adult DRG neurons. The mean longest neurite from n = 20 fields (>50 neurons each) is shown across 4 cultures. i, IF analysis showing reduced AhR in DRG neurons from AhrcKO mice 2 weeks after tamoxifen (100 mg per kg, 5 days, i.p.). n = 15 control and 16 AhrcKO neurons from random fields; 2 cultures. a.u., arbitrary units. j, Neurite outgrowth in DRG neurons from control and cKO mice. n = 10 fields across 2 cultures from 4 mice per genotype. km, Schematic (k) and quantification and imaging (l,m) of neurite outgrowth of DRG neurons from mice treated with AhR agonist (m) or antagonist (l). n = 6 random fields across independent cultures (l), and n = 466 (vehicle) and 533 (ITE) neurons from 3 mice per condition (m). Data are mean ± s.e.m. The violin plots show the median and quartiles. Statistical analysis was performed using one-way analysis of variance (ANOVA) with Dunnett’s correction (b, d and l), unpaired two-tailed t-tests (f, g and m) and Mann–Whitney two-tailed t-tests (hj). Scale bars, 20 μm (g), 25 μm (b), 50 μm (f and i), 100 μm (m) and 200 μm (h, j and l). *P ≤ 0.05, **P ≤ 0.01, ***P ≤ 0.001.

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As AhR is a ligand-activated bHLH-PAS TF, we examined DRG neuron responsiveness to AhR signalling using ITE (an endogenous indole-derived AhR agonist with broad disease-modulatory roles22) or CH-223191 (CH, a selective AhR antagonist23). Immunofluorescence (IF) staining of primary adult DRG neurons showed rapid nuclear translocation of AhR after 1.5 h ITE treatment, whereas CH promoted cytoplasmic retention (Fig. 1b). DRG neurons maintained in serum-free medium exhibited baseline nuclear AhR even after 4 days in culture, indicating endogenous ligand activity.

As a functional readout, we assessed expression of canonical AhR-target genes involved in detoxification (Cyp1a1, Cyp1b1) or negative feedback (Ahrr) (Fig. 1c). Reverse transcription–quantitative PCR (RT–qPCR) analysis confirmed induction of these genes by ITE and suppression by CH (Fig. 1d). In vivo intraperitoneal (i.p.) ITE injections for 3 days similarly upregulated Cyp1a1 and Cyp1b1 in DRGs, with a trend towards increased Ahrr (Extended Data Fig. 1b). Western blotting showed elevated CYP1B1 protein levels after in vivo ITE stimulation and an electrophoretic shift in AhR, consistent with post-translational modification (Fig. 1e). IF further confirmed AhR nuclear localization in DRG neurons after 2 days of ITE treatment, with minimal signal in glia (Fig. 1f).

Small interfering RNA (siRNA)-mediated knockdown of Ahr in adult DRG neurons, validated by RT–qPCR and IF (Fig. 1g), resulted in downregulation of AhR-target genes (Extended Data Fig. 1c). Analysis of mouse nervous system single-cell RNA-sequencing (scRNA-seq) data24 confirmed expression of Ahr, Hif1a and Arnt across central nervous system (CNS) and peripheral nervous system (PNS) neuronal populations (Extended Data Fig. 1d). Together, these results establish that DRG neurons are responsive to ligand-mediated AhR signalling.

AhR inhibition enhances axon outgrowth

To investigate AhR function in adult DRG neurons, we performed neurite outgrowth assays. Neurons with Ahr knockdown extended significantly longer neurites than the controls (mean length of the longest neurite, 233 μm versus 193 μm, a 21% increase; Fig. 1h). Consistently, pharmacological modulation showed opposing effects, with AhR antagonists promoting and AhR agonists shortening neurite extension (Extended Data Fig. 1e).

Similar effects were observed in CNS neurons, including mouse neonatal cortical neurons and human induced neurons (iNs) derived from embryonic stem cells (Extended Data Fig. 1f–h). A broader pharmacological screen in human iNs confirmed dose-dependent effects of AhR antagonists and agonists (Extended Data Fig. 1i). Notably, StemRegenin1 (SR1), an AhR antagonist, was independently identified in an unbiased high-throughput screen for compounds enhancing neurite outgrowth in mouse adult cortical neurons25, increasing neurite length by 28% and initiation by 58% (Extended Data Fig. 1j).

To further corroborate these findings, we generated tamoxifen-inducible neuronal Ahr conditional knockout (AhrcKO) mice by crossing Ahrfl/fl mice with Thy1-creERT2/eYFP (SLICK-H) mice (Fig. 1i). eYFP expression confirmed widespread neuronal targeting in DRG neurons and sciatic axons (Extended Data Fig. 2a), and efficient recombination was validated using the Rosa26-LSL-Sun1-GFP (INTACT) reporter line (Extended Data Fig. 2b). Genotyping and RNA-seq confirmed excision of Ahr exon 2 specifically in DRGs, with loss of exon 2 reads but preservation of distal exons, findings corroborated by RT–qPCR (Extended Data Fig. 2c–e). IF confirmed the loss of nuclear AhR in primary DRG neurons from AhrcKO mice (Fig. 1i). Of note, AhR protein levels appeared much higher in neurons than in glia (Extended Data Fig. 2f,g). Similarly, AhR protein was largely absent from DRG neurons of ITE-treated AhrcKO mice, while glial AhR expression was unchanged (Extended Data Fig. 2g).

Functionally, AhrcKO DRG neurons extended markedly longer neurites compared with the controls at 24 h after seeding (mean length of the longest neurite, 393 μm versus 232 μm, a 70% increase; Fig. 1j), consistent with the results from siRNA knockdown and pharmacological inhibition.

We next examined the in vivo efficacy of AhR antagonists SR1 and BAY-2416964 (BAY). Notably, 3 day i.p. injection of BAY but not SR1 resulted in longer neurites of seeded DRG neurons, reflective of specific in vivo pharmacokinetics or pharmacodynamics of different compounds (Fig. 1k,l). In vivo treatment with AhR agonist ITE did not cause shorter neurites (Fig. 1m), consistent with the self-limiting nature of AhR signalling by multiple negative-feedback loops. Together, both genetic and pharmacological approaches demonstrate that AhR inhibition can promote axon elongation across species and neuronal subtypes.

Early induction of AhR in DRGs after PL

To investigate AhR signalling in the conditioning lesion paradigm, we performed RNA-seq analysis of axotomized DRGs after PL, using contralateral DRGs to control for anaesthesia, pain or other systemic effects (Fig. 2a). Pathway analysis revealed enrichment of xenobiotic metabolism and hypoxia pathways after PL (Fig. 2b). Consistently, Ahr, Hif1a, Arnt and AhR targets (Cyp1b1 and Tiparp), were upregulated after PL (Fig. 2c and Supplementary Table 1), whereas Cyp1a1 and Ahrr showed low expression levels in sciatic DRGs.

Fig. 2: Neuronal Ahr deletion enhances axon regeneration after sciatic nerve injury.
Fig. 2: Neuronal Ahr deletion enhances axon regeneration after sciatic nerve injury.
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a, Design of RNA-seq experiment to compare ipsilateral (Ipsi) and contralateral (Contra) sciatic DRGs (L4–L6) of wild-type mice at 1 d.p.i. after PL. b, Gene set enrichment analysis (GSEA) showing enrichment of xenobiotic metabolism and hypoxia pathways in ipsilateral versus contralateral DRGs after PL. Statistical significance is reported as normalized enrichment scores (NES), nominal (NOM) P values and false-discovery rate (FDR)-adjusted q values derived from permutation testing; conventional parametric test statistics are not applicable. c, mRNA reads in ipsilateral and contralateral DRGs at 1 d.p.i. n = 5 DRG samples per condition. FPKM, fragments per kb transcript per million reads. d, Time-course RT–qPCR analysis of DRGs after PL. n = 3 mice, each with pooled L4–L6 DRGs per timepoint. e, Immunoblotting of DRG tissues at successive timepoints after PL. β-Actin was used as the loading control. n = 4 mice per timepoint. f, The SNL paradigm. g,h, IF analysis of regenerating axons (SCG10+) traversing the SNL site (the dashed line indicates the centre) at 1 (g) and 3 (h) d.p.i. n = 6 (control) and 7 (cKO) mice at 1 d.p.i.; n = 15 (control) and 13 (cKO) mice at 3 d.p.i. For the regeneration index, statistical analysis was performed using two-way ANOVA with Bonferroni correction. The maximal axon length distal to the lesion centre was analysed using unpaired two-tailed Student’s t-tests. i, SFI measurement shows enhanced recovery in AhrcKO mice at 9, 13 and 17 d.p.i. n = 5 mice per group. Data are mean ± s.e.m. Statistical analysis was performed using unpaired two-tailed t-tests (c), one-way ANOVA with Dunnett’s correction (d and e) and two-way ANOVA with Bonferroni multiple-test correction (i). Scale bars, 200 μm (h (right)) and 500 μm (g and h (left)).

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Time-course RT–qPCR confirmed early induction of Ahr and Arnt at 12 h after PL, persisting to 48 h. Hif1a was induced slightly later, peaking at 24 h and returning to the baseline by 48 h (Fig. 2d). Cyp1b1 and Tiparp followed a similar pattern to Ahr and Arnt, while Ahrr remained unchanged. scRNA-seq analysis26 further verified induction of Ahr, Hif1a and Arnt across major DRG neuron subtypes from 12 to 72 h after PL (Extended Data Fig. 2h).

Western blot analysis confirmed AhR upregulation in sciatic DRGs as early as 6 h after PL, increasing by 12 h, peaking at 1–3 days post-injury (d.p.i.), and persisting at 14 d.p.i., paralleling ATF3, a marker of conditioning lesion16 (Fig. 2e). AhR displayed an upward band shift at 12–24 h, similar to agonist-induced modification. In comparison, HIF1α protein was transiently induced, detectable at 12 h, peaking at 1 d.p.i. and declining by 3 d.p.i. Consistent with AhR activity, CYP1B1 protein showed transient induction from 6 hours post-injury (h.p.i.) to 3 d.p.i. These results indicate that PL triggers early but transient AhR activation, despite persistent AhR expression, consistent with rapid feedback attenuation of signalling8.

AhR ablation enhances axon regeneration

We next examined the in vivo effects of neuronal Ahr deletion on axon regeneration using the sciatic nerve lesion (SNL) paradigm. IF staining for SCG10, a marker of regenerating sensory axons27, revealed more and longer axons extending beyond the crush site in AhrcKO compared with the controls at 1 d.p.i. (869 μm versus 594 μm, approximately a 50% increase) and 3 d.p.i. (5.8 mm versus 4.8 mm, around a 20% increase) (Fig. 2f–h), suggesting that Ahr deletion primes DRG neurons for rapid pro-repair activation.

After sciatic crush, both groups initially exhibited toe flexion deficits and weight-bearing failure but, from 9–17 d.p.i., AhrcKO mice showed a significantly improved sciatic functional index (SFI) (Fig. 2i). Neuronal Ahr deletion did not impair baseline motor–sensory performance in ladder walking or tactile sensitivity assays, either after short-term (2–5 weeks) or long-term (14 months) AhR ablation (Extended Data Fig. 2i).

The peripheral nerve regeneration phenotype was confirmed in Ahrfl/flNescre mice (Nes is a promoter element of nestin), with near-complete ablation of AhR proteins in DRG and brain by western blot analysis (Extended Data Fig. 3a). AhR proteins were robustly increased in axotomized DRGs at 3 d.p.i., which was blunted in AhrcKO mice although still mildly elevated compared with the naive state, suggesting immune AhR expression (Extended Data Fig. 3b). After sciatic crush, AhrcKO mice exhibited more and longer SCG10+ axons beyond the lesion at 2 d.p.i., reflected in higher regeneration index and maximal axon length (1.44 mm versus 1.06 mm, a 36% increase) (Extended Data Fig. 3c). Functional recovery was accelerated, with earlier toe spreading, higher SFI from 9–21 d.p.i. and improved hindpaw reinnervation by PGP9.5+ axons at 21 d.p.i. (Extended Data Fig. 3d,e). AhrcKO mice remained viable and fertile with no baseline deficits (Extended Data Fig. 3f), in contrast to constitutive Ahr knockouts, which develop demyelination and inflammation phenotypes28.

The pro-regenerative effect was preserved in aged mice when Ahr cKO was induced at 14 months before SNL (Extended Data Fig. 4a,b). By contrast, Ahr deletion or pharmacological inhibition applied after SNL onset did not enhance axon regrowth (Extended Data Fig. 4c,d), indicating that early priming is required to gain over the robust intrinsic regenerative ability of DRG neurons after peripheral nerve injury.

We next examined whether neuronal AhR ablation could enhance CNS regeneration (Fig. 3a). Thoracic T8 contusion SCI produced comparable injury parameters in control and AhrcKO mice (Extended Data Fig. 5a). IF analysis at 35 d.p.i. revealed more neurofilament H-positive (NF-H+) axon bundles traversing the dorsal spinal cord in AhrcKO mice (Fig. 3b,c), and ascending CGRP+ sensory axons in the dorsal column showed greater abundance at and rostral to the lesion site in AhrcKO mice (Fig. 3d). Correspondingly, AhrcKO mice displayed superior motor–sensory recovery during 5 weeks of post-injury recovery, with higher Basso mouse scale (BMS) scores in open-field locomotion, fewer ladder-walking errors and improved tactile sensitivity (Fig. 3e and Supplementary Videos 16). Lesion size, demarcated by GFAP and CSPG, was unaffected (Extended Data Fig. 5b).

Fig. 3: Neuronal Ahr deletion enhances axon regrowth and functional recovery after SCI.
Fig. 3: Neuronal Ahr deletion enhances axon regrowth and functional recovery after SCI.
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a, The experimental timeline of the T8 contusion injury study. w, weeks. b,c, IF analysis of NF-H (b) and quantification (c) shows an increase in axons traversing the lesion site in AhrcKO mice at 35 d.p.i. n = 3 mice per group. Data are mean ± s.e.m. C, caudal; D, dorsal; R, rostral; V, ventral. d, IF analysis of CGRP revealing more sensory axons in the dorsal column of the injury site in AhrcKO mice, with multiple fibres detected in regions rostral to lesion centre (arrowheads). n = 3 mice per group. Data are mean ± s.e.m. e, Locomotor function scored based on BMS, the ladder walking assay and the von Frey filament assay demonstrates improved motor and sensory performance in AhrcKO mice. For BMS, n = 17 control and 14 cKO mice per datapoint. For regular ladder walking and von Frey assays, n = 15 for control and 7 for AhrcKO mice; for irregular rung ladder assay, n = 14 for control and 7 for AhrcKO mice. P values are shown for difference in BMS score between control and cKO mice at each timepoint (numbers above datapoints) and across all timepoints (number next to bracket). Data are mean ± s.e.m. f, RNA-seq analysis of ipsilateral and contralateral sciatic DRGs (L4–L6) from AhrcKO mice and littermate controls at 1 d.p.i. n = 5 per group. g, Xenobiotic metabolism pathways were suppressed in AhrcKO mice. The heat map shows AhR-dependent response shifts of 134 xenobiotic metabolism genes after PL. sig., signalling. h, The response shift score (log2[FC (cKO)]) − log2[FC (control)]) across PL-DEGs. Adjusted P (Padj) values (Benjamini–Hochberg FDR correction; |Δlog2[FC]|  ≥  0.3, adjusted P < 0.05) were derived from the original differential expression analyses before calculating RSSs. i, The heat maps show changes for 1,431 AhR-responsive genes at 1 d.p.i. after PL (left). Enrichr pathway analysis of AhR-responsive genes after PL (right). Pathways with adjusted P < 0.1 (Fisher’s exact test, Benjamini–Hochberg correction) were retained and ranked by combined score. ECM, extracellular matrix; mt, mitochondrial. j, Gene expression changes in the enriched pathways between control and cKO after PL. Statistical analysis was performed using unpaired two-tailed t-tests (c, d and e (ladder walking and von Frey)) and two-way ANOVA with Tukey’s correction (e (BMS)). Scale bars, 100 μm (b and d (bottom)) and 200 μm (d (top)).

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As a proof of principle, mice treated with the AhR inhibitor SR1 after SCI onset showed improved BMS scores from 14 d.p.i. onward, sustained through 35 d.p.i., accompanied by improved performance in ladder walking and von Frey filament assays (Extended Data Fig. 5c–e and Supplementary Videos 712). Collectively, neuronal AhR ablation enhances axonal regrowth and functional recovery after both peripheral and CNS injury.

Gut microbial depletion has no effect

AhR stability and cytoplasmic retention are regulated by HSP90, XAP2 (encoded by Aip) and p23 (encoded by Ptges3) (Extended Data Fig. 5f). RNA-seq analysis of DRGs revealed modest changes in these genes at 1 d.p.i. after PL, while RT–qPCR detected reduced Aip and Ptges3 at 36 h, supporting early AhR activation after PL (Extended Data Fig. 5g,h).

We examined the l-kynurenine (l-Kyn) pathway as a potential AhR ligand source29. Transcriptome analysis of sciatic DRGs showed minimal changes in key enzymes converting tryptophan to l-Kyn or kynurenic acid at 1 d.p.i. after PL, with slight upregulation of Kmo and modest downregulation of Kyat3; Ido1, Ido2 and Tdo2 expression was low (Extended Data Fig. 5i,j). RT–qPCR analysis at 36 h revealed Kyat1 downregulation and no change in Kmo (Extended Data Fig. 5k), indicating no major transcriptional regulation of this pathway in axotomized DRGs.

To test microbial contributions to AhR activation30, the gut microbiome was depleted with antibiotics for 18 days before SNL, but neurite outgrowth in cultured DRG neurons and axon regeneration in vivo were unaffected (Extended Data Fig. 6a–c). Indole-3-propionate (IPA) is a gut microbiota-derived metabolite linked to axon regeneration through neutrophil chemotaxis31. IPA can also act as an AhR ligand to modulate sepsis and neuroinflammation32,33, although the serum concentration of IPA is far below the levels needed to produce an AhR-dependent physiological effect34. In primary DRG neurons, IPA treatment did not enhance neurite outgrowth and even reduced outgrowth at higher concentrations (Extended Data Fig. 6d).

As Thy1-creERT2/eYFP is also expressed in enteric neurons, the gut immune composition was assessed, and no significant changes were detected (Extended Data Fig. 6e–g). Neuronal AhR ablation also did not alter immune responses after peripheral nerve injury: IF of sciatic DRGs showed no differences in CD45+ leukocytes, CD206+ myeloid cells, CD68+ phagocytes, IBA1+ macrophages or PU.1+ myeloid lineage cells under naive or axotomized conditions (Extended Data Fig. 7a,b). Other immune subsets (NK1.1+ natural killer cells, Ly6G+ neutrophils, and CD4+ and CD8+ T cells) were rare and unaffected. At the nerve crush site, F4/80+ macrophages and SOX10+ Schwann cells showed comparable density and distribution in AhrcKO and control mice (Extended Data Fig. 7c). These results suggest that enhanced axonal regrowth in AhrcKO mice arises from neuron-intrinsic mechanisms rather than altered immune or Schwann cell responses.

AhR regulon enforces proteostasis

To assess pathways impacted by neuronal Ahr deletion after axonal injury, we profiled DRG transcriptomes from AhrcKO and control mice at 1 d.p.i. after PL (n = 5 per group), using contralateral DRGs to control for systemic effects (Fig. 3f and Supplementary Tables 1 and 2). Principal component analysis (PCA) revealed that injury status, rather than genotype, accounted for the largest variance (PC1, 43%), with ipsilateral and contralateral DRGs forming distinct clusters, whereas genotype did not segregate samples either before or after injury (Extended Data Fig. 8a). Thus, Ahr cKO induced pathway-specific, rather than global, transcriptomic shifts.

In control mice, Ahr was robustly upregulated in ipsilateral DRGs at 1 d.p.i.; in AhrcKO mice, Ahr was reduced, more prominently in contralateral DRGs (log2[FC] = −0.24, P = 0.01) than ipsilateral (log2[FC] = −0.10, P = 0.27), reflecting glial induction after PL (Extended Data Fig. 8b). Comparison of ipsilateral versus contralateral DRGs identified 2,658 peripheral lesion-induced differentially expressed genes (PL-DEGs) in AhrcKO mice and 2,501 in control mice, with 1,802 overlapping genes showing largely concordant directionality, although some displayed amplitude shifts or divergent responses (Extended Data Fig. 8c and Supplementary Table 3). Canonical xenobiotic pathways (AhR, PXR, CAR) were suppressed in AhrcKO DRGs, with widespread transcriptional remodelling of 134 curated xenobiotic metabolism genes after PL (Fig. 3g and Supplementary Table 4).

To capture broader AhR-dependent effects, we calculated response-shift scores (RSSs; log2[FC (cKO)] − log2[FC (control)]) across PL-DEGs. Applying a threshold of |RSS| ≥ 0.3, we identified 1,431 AhR-responsive genes (898 negative, 533 positive RSSs; Fig. 3h and Supplementary Table 5). Enrichment analysis highlighted translational control, including tRNA processing, mitochondrial tRNA and rRNA maturation, and extracellular matrix interactions, with most genes showing negative RSS, consistent with AhR as a transcriptional activator (Fig. 3i,j). G-protein-coupled receptor (GPCR) signalling was also enrfiched, which can rapidly modulate protein synthesis35. For validation, we performed RT–qPCR analysis of ipsilateral versus contralateral DRGs from control and AhrcKO mice. This confirmed AhR-dependent transcriptional shifts in genes linked to protein homeostasis and metabolic adaptation (Extended Data Fig. 8d,e).

We next analysed the AhR-responsive genes by applying ChEA3 analysis, an integrative TF enrichment analysis tool that combines chromatin immunoprecipitation–sequencing (ChIP–seq) datasets, gene co-expression and TF–gene co-occurrence. This revealed 132 putative AhR direct targets, 87% of which showed negative RSS in AhrcKO mice (Extended Data Fig. 8f and Supplementary Table 6). These genes were strongly enriched in translational pathways, anchoring the broader AhR-dependent signatures. Additional pathways included BDNF, HIF1α, senescence, autophagy and metabolism of vitamin B12, selenium, folate and low-density lipoprotein (Extended Data Fig. 8g).

Comparative IPA of PL-associated transcriptomes (ipsilateral versus contralateral) between genotypes showed that control DRGs preferentially engaged proteostasis pathways, including rRNA processing, ribosome assembly and clearance of metabolites, proteins and organelles (leucine degradation, pexophagy, mitochondrial proteolysis, glutaryl-CoA degradation and mRNA decay; Extended Data Fig. 8h,j). By contrast, AhrcKO DRGs activated growth-promoting signalling (neurexin, NGF, insulin, PDGF and L1CAM), protein sorting, histone modification and lipid biosynthesis (Extended Data Fig. 8i,j).

Elevated protein synthesis by Ahr cKO

Transcriptomic analyses suggested that AhR upregulation after axotomy reinforces protein quality control and proteostasis, whereas its loss reprograms the injury response towards biosynthesis and pro-growth signalling (Fig. 4a). Pathway analysis implicated mitochondrial–cytosolic cross-talk, with cytosolic tRNA charging and ubiquitination upregulated and mitochondrial pathways suppressed in cKO (Fig. 4b). Protein trafficking pathways, including autophagy and endocytosis, were also activated (Fig. 4b).

Fig. 4: AhR controls proteostasis and global protein synthesis after axotomy.
Fig. 4: AhR controls proteostasis and global protein synthesis after axotomy.
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a, Model of AhR-dependent control of proteostasis in axon regeneration. b, Comparative IPA of PL-DEGs (ipsilateral versus contralateral DRGs) reveals enrichment of pathways related to translational regulation and proteostasis. IGFBPs, IGF binding proteins; mito., mitochondrial. c, Schematic of the puromycin (Puro) incorporation assay to assess de novo protein synthesis. d, Assay validation. IF analysis of DRG cultures shows specific puromycin labelling in TUJ1+ neurons after 30 min exposure, with minimal labelling in TUJ1 glial cells (arrows). Quantification shows dose-dependent incorporation. The mean puromycin fluorescence intensity is shown from n = 10 random fields across three independent cultures. e, IF images show significantly higher puromycin labelling in AhrcKO neurons compared with in the controls. The average intensity of n = 20 random fields of independent DRG neuron cultures is shown from 2 mice per group. f, IF images show increased puromycin incorporation in AhrcKO neurons compared with the controls. Data are the mean fluorescence intensity from n = 3 sciatic DRGs (L5); 3 mice per genotype. g, Key translational regulators identified as AhR-responsive by RNA-seq analysis of ipsilateral and contralateral DRGs at 1 d.p.i. after PL (n = 5 per condition; Padj < 0.05). h, Diagram of translational regulators affected by Ahr cKO after PL. i, IF analysis showing elevated p-RPS6 (Ser235/236) in AhrcKO DRG neurons at 1 d.p.i., with minimal signal in glia. The mean p-RPS6 fluorescence intensity is shown from random fields of sciatic DRGs. n = 5 (control) and n = 4 (cKO) mice. Data are mean ± s.e.m. Statistical analysis was performed using one-way ANOVA with Dunnett’s multiple-comparisons correction (d) and unpaired two-tailed t-tests (e, f and i). Scale bars, 25 μm (e), 50 μm (d) and 100 μm (f and i).

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To directly assess the impact of AhR ablation on neuronal protein synthesis, we performed a puromycin (a tyrosyl-tRNA analogue) incorporation assay to label elongating peptides (Fig. 4c). The assay showed robust, dose-dependent puromycin signals in cultured DRG neurons (Fig. 4d). Puromycin incorporation was markedly higher in neurons than in glia, indicating greater neuronal translational activity (Fig. 4d).

At 24 h after seeding of primary DRG cultures (axotomy occurs during dissociation), AhrcKO neurons exhibited around 25% higher puromycin incorporation compared with the controls (Fig. 4e). Consistently, in vivo puromycin injection at 1 d.p.i. after PL revealed significantly greater labelling (24% increase) in AhrcKO DRG neurons, indicating enhanced de novo protein synthesis after axotomy (Fig. 4f).

To further investigate the underlying mechanisms, analysis of DRG transcriptomes for translational regulators showed reduced expression of Eif4ebp1 (an inhibitor of 5′-cap-dependent translation), Sesn2 and Castor1 (amino acid sensors and inhibitors of mTOR activity), along with decreased Rps14 (encoding a 40S ribosomal subunit protein) (Fig. 4g,h). Concordantly, phosphorylated ribosomal protein S6 (p-RPS6Ser235/236), a marker of mTOR activity, was elevated in AhrcKO DRG neurons at 1 d.p.i. after PL (Fig. 4i). Together, AhR constrains neuronal translation by limiting mTOR signalling and ribosome processing, whereas AhR loss unleashes neuron-intrinsic protein synthesis to support regenerative growth.

AhRHIF1α cross-talk in axon regeneration

As AhR and HIF1α share ARNT as a dimerization partner, we tested whether HIF1α activity is required for the regenerative phenotype of AhrcKO neurons (Fig. 5a). Pharmacological inhibition of HIF1α translation with KC7F2 reduced HIF1α abundance and abolished the growth advantage of AhrcKO neurons (Fig. 5b and Extended Data Fig. 9a). Similarly, siRNA-mediated Arnt knockdown eliminated the axon-promoting effect of Ahr deletion, reducing neurite length to control levels (Fig. 5c), indicating engagement of the HIF1α–ARNT pathway during axon regrowth in AhrcKO DRG neurons.

Fig. 5: The growth-promoting effect of Ahr deletion requires cross-talk with HIF1α.
Fig. 5: The growth-promoting effect of Ahr deletion requires cross-talk with HIF1α.
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a, Schematic of AhR–HIF1α interactions in regulating axon regeneration. b, IF images show that HIF1α inhibitor KC7F2 (10 μM) abolished neurite outgrowth advantage of AhrcKO DRG neurons. The violin plots show the median and quartiles. n = 250–408 neurons per condition from independent cultures of 2 mice per genotype. c, IF analysis showing that siRNA knockdown of Arnt reverted enhanced neurite growth of AhrcKO neurons. Data are the mean longest neurite from n = 10 fields across 3 cultures per genotype. Right, RT–qPCR analysis confirmed reduced Arnt mRNA 48 h after siRNA. n = 4 per group. d, Venn diagram showing 58 genes overlapping between putative AhR and HIF1α targets, which were analysed for pathway enrichment. Blue, metabolism; brown, stress response; green, hypoxia. e, Diagram of stress sensors linked to protein synthesis. AA, amino acid. f, DRG RT–qPCR analysis after post-injury injection of AhR antagonist TMF (10 mg per kg, i.p., 3 days) shows that TMF suppressed stress-associated genes and Pol III regulators while inducing regeneration-associated genes. n = 3 samples from 3 mice, each pooled from L4–L6 DRGs. g, IF analysis of p-eIF2α (Ser51) in primary DRG neurons. n = 4 (4 h) and n = 20 (24 h) fields. h, Reduced p-eIF2α levels in DRG neurons in AhrcKO mice at 2 days after PL. n = 3 mice per genotype. i, The dose-dependent effect of ISR inhibitor (ISRIB) on neurite outgrowth. n = 625 (0 nM), 462 (10 nM), 474 (50 nM) and 427 (200 nM) neurons from 4 cultures. j, Working model: AhR restricts axonal regrowth while promoting acute stress responses. Data are mean ± s.e.m. Statistical analysis was performed using one-way ANOVA with Dunnett’s correction (b, c (left) and i) and unpaired two-tailed t-tests (c (right), f, g and h). Scale bars, 25 μm (g (right)), 50 μm (h), 100 μm (b and g (left)) and 200 μm (c and i).

Source data

By contrast, conditional deletion of Arnt (Arntfl/flThy1-creERT2/eYFP) did not impair baseline or PL-induced axon outgrowth in primary DRG neurons, nor in vivo regeneration at 3 d.p.i. after SNL (Extended Data Fig. 9b–e). Thus, although ARNT is required for enhanced outgrowth in AhrcKO neurons, ARNT-deficient neurons can compensate through alternative pathways.

To further examine AhR–HIF1α interplay, ChEA3 analysis of AhR-responsive PL-DEGs identified 121 candidate HIF1α targets, nearly half overlapping with putative AhR targets (Fig. 5d). The 58 overlapping genes were enriched for RNA and protein metabolism, cellular stress responses, senescence and axon growth-promoting pathways including HIF1α, p53, MAPK and PI3K–AKT signalling (Fig. 5d and Supplementary Table 6). These results support transcriptional cross-talk between AhR and HIF1α after axotomy, with AhR loss shifting the balance from stress responses and proteostasis towards HIF1α-mediated metabolic adaptation and pro-growth signalling.

Integration with epigenomic data implicated 5hmC-mediated regulation in this cross-talk. Our previous genome-wide profiling of PL-induced differentially hydroxymethylated regions (DhMRs) identified 1,036 sites (predominantly within gene bodies5,36), enriched for bHLH-PAS TF motifs including HIF1α, ARNT and BMAL1, but not AhR (Extended Data Fig. 9f,g). Notably, 40% of DhMRs contained HIF1α-response elements (HREs), corresponding to 766 genes, with 27 overlapping AhR-responsive PL-DEGs that are enriched in amino sugar metabolism, ubiquitination, neuronal migration and WNT signalling (Extended Data Fig. 9h and Supplementary Table 7). Thus, a subset of AhR-responsive PL-DEGs may operate through DhMRs or HREs in AhrcKO DRGs after axotomy.

Further linking AhR and 5hmC, AhrcKO DRGs showed elevated 5hmC levels after axotomy (Extended Data Fig. 9i). Given that BMAL1 gates regenerative responses through 5hmC and that xenobiotic metabolism and AhR signalling were among the top pathways in the Bmal1 cKO regulon (Extended Data Fig. 9j), BMAL1 may act upstream of AhR signalling. Together, these data position AhR, HIF1α and BMAL1 as interconnected bHLH-PAS TFs coordinating transcriptional and epigenomic responses to axonal injury (Extended Data Fig. 9k).

Stress–growth balance by AhR inhibition

To define the putative neuronal AhR regulon, we leveraged published scRNA-seq data from DRG neurons collected between 6 h and 14 days after PL37, and identified 98 AhR-associated genes (Extended Data Fig. 10a,b and Supplementary Table 8). In contrast to regeneration-associated TFs (ATF3, SOX11, SMAD1, CREB1, MYC and JUN) or TFs encoded by early response genes (EGR1 and FOS), AhR was predicted to be inactivated during axon regeneration, consistent with its inhibitory role. Pathway analysis of the AhR regulon (n = 98) highlighted translational control, including RNA polymerase III (RNA Pol III) transcriptional termination (Extended Data Fig. 10c). Notably, the regulon included Nfia and Nfib, nuclear factors that are involved in RNA Pol III transcriptional termination that have AHREs in their promoters (Extended Data Fig. 10d).

The PL-associated TFs also included stress-response TFs ATF4 and ATF6 (Extended Data Fig. 10b). ATF4 is a regulator of the integrated stress response (ISR) activated by chronic endoplasmic reticulum (ER) stress or amino acid deprivation38, or elevated levels of uncharged tRNA39 (Fig. 5e). scRNA-seq showed that Atf4, Atf6 and Xbp1, the latter encoding another regulator of acute ER stress, were broadly induced in DRG neurons and contained AHREs in their promoters (Fig. 5e and Extended Data Fig. 10e,f). Validation studies showed that post-injury administration of the AhR inhibitor TMF in vivo suppressed expression of the genes encoding these stress-responsive TFs and RNA Pol III regulators (Nfia, Nfib), while upregulating regeneration-associated genes (Bdnf, Atf3, Sprr1a, Gal, Npy), as well as Stmn1 (encoding SCG10), Tead1 (Hippo signalling) and other AHRE- and HRE-bearing genes including Sox9, Rest and Cdk6 (Fig. 5f and Extended Data Fig. 10g,h).

Phosphorylation of eIF2α at Ser51 (p-eIF2α) is a central integration hub of the unfolded protein response (UPR) and ISR that suppresses protein synthesis38 (Fig. 5e). AhrcKO neurons exhibited reduced p-eIF2α levels (indicative of reduced translational stress), both in vitro (4 h and 24 h after seeding) and in vivo after PL (Fig. 5g,h). Functionally, pharmacological blockade of the ISR with ISRIB significantly enhanced neurite outgrowth of DRG neurons in a dose-dependent manner (Fig. 5i).

Discussion

Neurons must balance environmental stressors with regenerative demands after axonal injury. Here we identify AhR as a central regulator of this stress–growth switch. AhR induction after axotomy engages proteostasis and the ISR to suppress translation and preserve tissue integrity but constrains regeneration; conversely, AhR inhibition relieves this brake and redirects neuronal responses towards metabolic adaptation and pro-regrowth signalling, promoting axon regeneration in both PNS and CNS injury models (Fig. 5j).

AhR is best known as a xenobiotic sensor regulating detoxification enzymes and transporters, although evolutionary evidence suggests this function emerged later from an ancestral neuronal role40. AhR is broadly expressed in the nervous system40,41, where it regulates axon and dendrite branching in invertebrates41,42 and, in mammals, restrains dendritic complexity and neuronal differentiation43,44. Our findings extend this framework, establishing AhR as a neuronal brake on axon regeneration, consistent with computational predictions from unbiased high-throughput screens45.

Mechanistically, AhR induction after axotomy rewires gene programs that reinforce protein quality control and proteostasis. After PL, AhR activation is transient and dampened by feedback loops, enabling an acute stress response while timely freeing ARNT for HIF1α signalling. This transition is required for enhanced regeneration of AhrcKO DRG neurons by shifting transcriptional programs towards metabolic and regenerative pathways.

AhR activation engages broad proteostasis and UPR and ISR programs, spanning RNA Pol III activity, ribosome biogenesis, autophagy, ubiquitination, protein trafficking and mitochondrial–cytosolic cross-talk, whereas AhR loss activates growth-promoting pathways (HIF1α, BDNF and PI3K–AKT) and micronutrient metabolism. The AhR injury regulon includes genes encoding stress-associated TFs (ATF4, ATF6 and XBP1), and AhR-deficient neurons display increased protein synthesis, elevated p-RPS6 and reduced p-eIF2α, consistent with relief from translational suppression. We further identify cross-talk among bHLH-PAS TFs in coordinating stress adaptation and regeneration. Circadian factor BMAL1 appears upstream of xenobiotic pathways, while HIF1α also regulates circadian programs46. Integration with epigenomic datasets revealed overlap between AhR-responsive PL-DEGs and PL-induced DhMRs enriched for HIF1α motifs. Ahr cKO increased 5hmC in DRG neurons after axotomy, suggesting transcriptome rewiring through epigenetic remodelling. AhR may also control transcription through non-AHRE interactions47.

Functionally, Ahr cKO enhanced axon regrowth and motor–sensory recovery after both PNS and CNS lesions. Post-injury treatment with the AhR antagonist SR1 phenocopied genetic deletion, although effects were limited in the CNS paradigm. Given the reported effects of SR1 on haematopoietic stem cells48, further studies are needed to define drug specificity, target engagement, pharmacokinetics and potential side effects. Future axonal tracing studies will also help to determine whether distinct neuronal subtypes respond similarly to AhR inhibition.

The identity of endogenous AhR ligands may arise from local metabolites, systemic inflammation or oxidative stress. Although antibiotic-mediated microbiome depletion did not overtly affect nerve regeneration, additional gut-related influences on AhR activity cannot be excluded. Natural AhR polymorphisms also shape ligand sensitivity across species8, raising the possibility that regenerative capacity varies with diet, pathogens or genetic background. More broadly, our findings align with protective effects of AhR inhibition reported in stroke49, Huntington’s disease50, gut–lung51 and endothelial responses52,53.

In summary, our work establishes AhR as a brake on axon regeneration that integrates transcriptional, metabolic and epigenetic programs to enforce proteostasis at the expense of regenerative growth. By positioning AhR within a regulatory network alongside HIF1α and BMAL1, these findings open avenues to target stress–growth plasticity to improve nervous system repair.

Methods

Animals

Animal procedures were conducted under a protocol approved by the Institutional Animal Care and Use Committee of Icahn School of Medicine at Mount Sinai (IPROTO202200000184). All of the mice were maintained on the C57BL/6J genetic background for at least three generations. Animals were housed in a specific-pathogen-free barrier facility under a 12 h–12 h light–dark cycle with ad libitum access to food and water. Ambient temperature was maintained at approximately 18–23 °C with relative humidity of 40–60%. Mice were group-housed (up to five per cage) in corn bedding-lined cages with standard pellet chow and water bottles and were acclimatized to the facility for at least 2 weeks before experimentation. All of the mice used in the study were young adults (aged <30 weeks), unless otherwise indicated.

Mouse strains were obtained from The Jackson Laboratory: C57BL/6J (JAX, 000664); Tg(Thy1-cre/ERT2-eYFP)HGfng (JAX, 012708, known as SLICK-H)54,55; B6.Cg-Tg(Nes-cre)1Kln/J (JAX, 003771, known as Nescre)56; Ahrtm3.1Bra/J (JAX, 006203, known as Ahrfl)57; and B6;129-Gt(ROSA)26Sortm5(CAG-Sun1/sfGFP)Nat/J (JAX, 021039, known as INTACT)58; and Arntfl/fl mice59 were provided by F. Gonzalez.

The following primers were used for genotyping by PCR using mouse tail DNA: Ahrfl/fl mice: F1: GTCACTCAGCATTACACTTTCTA, F2: CAGTGGGAATAAGGCAAGAGTGA, R1: GGTACAAGTGCACATGCCTGC. Expected band sizes: 106 bp for wild-type allele, 140 bp for the floxed allele and 180 bp for the excised floxed allele. Arntfl/fl mice: F1: TGCCAACATGTGCCACCATGT, R1: GTGAGGCAGATTTCTTCCATGCTC. 290 bp for the wild-type allele, 340 bp for the Arnt floxed allele. Nescre mice: F1: CCGCTTCCGCTGGGTCACTGT, R1: TGAGCAGCTGGTTCTGCTCCT, R2: ACCGGCAAACGGACAGAAGCA. 379 bp for the wild-type allele, 229 bp for the transgenic cre allele. Rosa26INTACT mice: F1: GCACTTGCTCTCCCAAAGTC, R1: CATAGTCTAACTCGCGACACTG, R2: GTTATGTAACGCGGAACTCC. 557 bp for wild-type allele, 300 bp for the knock-in allele. Thy1-creERT2 mice: F1: TCTGAGTGGCAAAGGACCTTAGG, R1: CGCTGAACTTGTGGCCGTTTACG, Int-F2: CAAATGTTGCTTGTCTGGTG, Int-R2: GTCAGTCGAGTGCACAGTTT. 200 bp for the wild-type allele, 300 bp for the transgenic cre allele.

Pharmacological treatments

To induce CreER-mediated cKOs, tamoxifen (Sigma-Aldrich, T5648) in corn oil (Sigma-Aldrich, C8267) was injected into adult mice i.p. (100 mg per kg) once daily for 5 days.

AhR agonists

2-(1′H-indole-3′-carbonyl)-thiazole-4-carboxylic acid methyl ester (ITE; Tocris 1803), l-Kyn (Tocris 4393), 6-formylindolo[3,2-b]carbazole (FICZ; Tocris 5304) and norisoboldine (NOR; Selleckchem S9092) were reconstituted in DMSO. For in vitro studies, the applied concentrations are indicated in the main text. For in vivo experiments, ITE was diluted in 12.5% kolliphor/PBS (Sigma-Aldrich, C5135) to a final volume of 600 µl and injected i.p. at 10 mg per kg.

AhR antagonists

CH (Tocris, 3858), 6,2′,4′-trimethoxyflavone (TMF; Tocris, 3859), StemRegenin-1 (SR1; Selleckchem, S2858) and BAY (Selleckchem, S8995) were reconstituted in DMSO. For in vivo studies, TMF was further diluted in 12.5% kolliphor/PBS, and injected i.p. at 10 mg per kg (or, for SR1 and BAY60, 25 mg per kg) using a Hamilton fine syringe (Hamilton, 80920).

HIF1α translational inhibition

KC7F2 (Cayman, 14123), a small-molecule inhibitor targeting HIF1α through translational control was used previously61.

ISR inhibition

ISRIB (Sigma-Aldrich, 5.09584)62 was reconstituted in DMSO.

Antibiotics treatment

Broad-spectrum depletion of gut microorganisms was performed according to a published protocol with minor modifications63. In brief, wild-type C57BL/6J mice received drinking water containing ampicillin sodium (1 g l−1; Sigma-Aldrich, A9518), vancomycin hydrochloride (0.5 g l−1; Sigma-Aldrich, V2002), neomycin sulfate (1 g l−1; Sigma-Aldrich, N1876), metronidazole (1 g l−1; Sigma-Aldrich, M1547), sucrose (50 g l−1; Sigma-Aldrich, S0389) and acetic acid (4 mM) for 18 days before sciatic nerve crush. Solutions were provided ad libitum in light-protected bottles and replaced every third day.

Indole metabolite

3-Indolepropionic acid (IPA; Selleckchem S4809) was dissolved in DMSO. As vehicle controls for drug treatments, either DMSO or DMSO dissolved in 12.5% kolliphor/PBS were used as appropriate.

SNL

Male and female mice, aged 8–18 weeks unless otherwise specified, were anaesthetized by isoflurane inhalation (5% for induction, 2% for maintenance). A small skin incision was made at mid-thigh using a scalpel blade after skin preparation and disinfection. To clearly expose the sciatic nerve, the fascial space between biceps femoris and gluteus superficialis muscles was opened gently without causing haemorrhage. The nerve was then freed from surrounding connective tissue under microscope, avoiding shearing or traction forces. For sciatic nerve crush model, the nerve was crushed with an Ultra-fine Hemostat (Fine Science Tools, 13020-12) for 15 s at the third click. For the sciatic nerve transection model, the nerve was cut with a 3 mm Vannas Spring Scissor (Fine Science Tools, 15000-00). For sham surgery, the sciatic nerve was exposed as described but left intact. Mouse skin was closed using the Reflex 7 mm Wound Closure System (Braintree Scientific, RF7 CS) after surgery. Mice were left to recover in a warm cage. All of the surgical instruments were autoclaved before surgery and aseptic techniques were maintained throughout.

SCI model

T7–T9 laminectomy was performed on 8-week-old mice (wild-type C57BL/6 female). The mice were then clamped using two pairs of Adson forceps before using the Infinite Horizon Impactor at 60 kdyn of force with a 2 s dwell time to induce a moderate T8 contusion and compression as described previously64,65,66. The muscles and skin were closed with 5.0 sutures, and the skin was sealed with Dermabond. After surgery, mice recovered in a warmed cage and were then moved to a normally temperate cage and provided with food and water ad libitum. All of the animals received subcutaneous injections of 1 ml saline, 10 mg per kg Baytril, and 0.05 mg per kg buprenorphine daily for the first week after surgery. All surgeries were performed in the morning (08:00–12:00) to limit potential circadian influence. Bladders were expressed manually twice daily. All drug administrations were performed by individuals blinded to the experimental groups.

DRG isolation

DRG dissections were conducted under a Nikon SMZ645 stereomicroscope. Euthanized mice were positioned supine and secured to a dissection pad. The ventral thoracic and abdominal skin and viscera were removed to expose the ventral spinal column using surgical scissors (Fine Science Tools, 14054-13) with tissue forceps (Fine Science Tools, 11021-12) for support. Ventral paraspinal muscles were cleared using spring scissors (Fine Science Tools, 15751-11) to visualize the lumbosacral nerve plexus. To expose the lumbosacral DRGs, ventral vertebral elements were removed using the same spring scissors, aided by octagon forceps (Fine Science Tools, 11042-08), while avoiding nerve transection. L4–L6 DRGs were then isolated by gently elevating the ganglion with Dumont #3 forceps (World Precision Instruments, 50037) and severing connecting nerves with Vannas spring scissors (Fine Science Tools, 15000-00).

Primary DRG neuron culture

Adult DRGs from adult C57BL/6J mice were dissected and placed into ice-cold DMEM/F12 (Gibco, 11330057). DRGs were washed three times with ice-cold calcium-free and magnesium-free HBSS (Gibco, 14175095) including 10 mM HEPES (Gibco, 15630106) before incubating in 0.3% collagenase I (Worthington, LS004196) for 90 min at 37 °C. DRGs were then washed three times with HBSS buffer with HEPES at room temperature, followed by additional digestion in 0.25% trypsin-EDTA (Gibco, 25200072) containing 50 μg ml−1 DNase I (Worthington, LK003172) for 30 min at 37 °C. Trypsinization was stopped with warm DMEM medium (Gibco, 10569044) containing 10% FBS (Gibco, 26140079) and DNase I. DRGs were dissociated by trituration with fire-polished Pasteur glass pipets (Fisherbrand, 13-678-20D). To remove myelin debris and cell clumps, a partial-purification step was performed by centrifugation through a BSA (Thermo Fisher Scientific, BP9700100) cushion. Specifically, the DRG suspension was mixed with 8 ml NS-A basal medium (NeuroCult 05750) and then 2 ml of 15% BSA in HBSS was added at the bottom of the 15 ml centrifuge tube followed by centrifugation at 1,000 rpm for 6 min. The supernatant was carefully removed and DRGs were resuspended in NS-A basal medium containing 2% B27 (Gibco, A3582801), 0.725% glucose, 0.5 mM l-glutamine and 0.4% antibiotic–antimycotic (Gibco, 15240062). DRG neurons were plated onto poly-l-ornithine-coated (Sigma-Aldrich, P4957) and laminin-coated (Gibco, 23017015) chamber slides or 6-well plates for subsequent experiments. siRNA-mediated knockdown studies were conducted as previously described with modifications67. Around 4,000 DRG neurons were resuspended in 1.5 ml of titration medium (without DNase I) and gently mixed with 0.5 ml of transfection complex containing 2 μl of DharmaFECT 2.0 (Dharmacon, T-2002-02) and 2 μl of siRNA at 20 μM stock concentration in Neurocult NB-A medium and seeded on PLO-/laminin-coated plates/coverslips. ON-TARGETplus SMART pool siRNA oligos were obtained from Dharmacon (Ahr, siRNA-L-044066-00; Arnt, siRNA-L-040639-01-0005; and non-targeting pool, D-001810-10-05).

Generation of induced human neurons

The studies using human embryonic stem cells were approved by the Embryonic Stem Cell Research Oversight Committee (ESCRO) at Icahn School of Medicine at Mount Sinai. The H9 human embryonic stem cell line (WA09) was acquired from WiCell through the Mount Sinai Stem Cell Core. Induced neurons were generated as described previously5. In brief, H9 embryonic stem cells were induced to neuroprogenitor cells (NPCs) using STEMDiff SMADi neural induction kit (Stem Cell Technologies, 08581). NPCs were passaged at a density of 1.2 × 106 in 2 ml of STEMdiff neural progenitor medium (Stem Cell Technologies, 05833). Mixed cortical neuron culture was induced from NPCs as described previously68. Differentiation medium contained BrainPhys medium (Stem Cell Technologies, 05790) with 1× N2 (Gibco, 17502048), 1× B27 (Invitrogen, 12587-010), 20 ng ml−1 brain-derived neurotrophic factor (BDNF, Peprotech 450-02), 20 ng ml−1 glial-derived neurotrophic factor (GDNF, Peprotech 450-10), 200 µM l-ascorbic acid (Stem Cell Technologies, 72132) and 250 µg ml−1 dibutyryl cyclic AMP sodium salt (db-cAMP, Stem Cell Technologies, 73884). Half of the medium volume was changed with fresh differentiation medium every other day for 10 to 13 days before analysis.

Mouse cortical neuron culture

The cortical adult neuron assay was conducted as described previously25. In brief, wild-type 6-week-old C57BL/6 male mice were euthanized using CO2 and the cortex was isolated and transferred to a MACS C-tube, then dissociated using the Miltenyi gentleMACS octo-dissociator on a preset protocol. This was followed by the removal of debris and endothelial blood cells using the Mitlenyi MACS Adult Brain Dissociation Kit (Miltenyi Biotec, 130-107-677). Next, using the Adult Neuron Isolation Kit (Miltenyi Biotec, 130-126-603), according to the manufacturer’s instructions, the negative fraction (fraction enriched with neurons) was collected and used for the cortical neurite outgrowth assay. High-content confocal imaging was carried out using the ImageXpress Micro Confocal (IXM) High-Content Imaging System (Molecular Devices).

For cultures of early postnatal cortical neurons, cortices from postnatal day 0–2 wild-type mouse pups were isolated after careful removal of meninges. Tissue was minced, washed in cold HBSS and dissociated using the Neural Tissue Dissociation Kit-T (Miltenyi, 130-094-802). After cell counting, 1 × 105 cells were seeded per well onto 24-well plates containing glass coverslips coated with poly-l-ornithine (Sigma-Aldrich, P4957) and laminin (Gibco, 23017015).

Neurite outgrowth assays

L4–L6 DRG neurons were seeded onto PLO-/laminin-precoated four-well chamber slides (Falcon, 10384501) at around 1,000–2,000 neurons per well. Neurons were fixed with ice-cold 4% PFA and stained with anti-tubulin β3 (TUJ1) to visualize outgrowing neurites.

For pharmacological experiments, DRG neurons from wild-type C57BL/6J mice were plated onto a PLO-/laminin-precoated six-well plate, using neurons from 8–10 DRGs per well. Neurons were cultured for 24 h with pharmacological AhR modulators. Cells were either fixed for IF staining or used directly for RNA lysis and RT–qPCR analysis.

A replating assay was performed on induced neurons between differentiation day 10 to 13 as described previously5,69. In brief, cells were washed twice with PBS and incubated in 0.025% trypsin for 5 min at 37 °C. Trypsin was gentle removed while keeping neurons attached and replaced with differentiation medium. Gentle pipetting was then carried out to dissociate the neurons followed by counting and seeding in 4-well chamber slides at a density of 55,000 cells per well in differentiation medium containing AhR agonists or antagonists for 1 day before analysis.

The adult mouse cortical neurite outgrowth assay was performed as described previously25. In brief, primary adult cortical neurons were seeded onto PDL-coated plastic-bottom plates (Greiner-Bio, 781091) at 10,000 cells per well for 2 days. SR1 (TargetMol T1831) and vehicle were added at the time of plating and left in the medium for 2 days without medium change. Neuronal medium consisted of MACS neuro media (Miltenyi Biotec, 130-093-570), 2 mM l-alanine-l-glutamine dipeptide (Sigma-Aldrich, G8541) and 1× B27 Plus supplement (Thermo Fisher Scientific, A3582801).

For postnatal mouse cortical neurite outgrowth assays, at seeding, cultures were treated with AhR modulators or vehicle control in Neurobasal-A medium (Gibco, 10888022) supplemented with 2% B27 Plus (Gibco, A3582801), 2 mM GlutaMAX-I (Gibco, 35050061), 5% FBS and 1% penicillin–streptomycin (Gibco, 15140122) and maintained at 37 °C with 5% CO2. Neurons were fixed after 24 h for immunostaining, imaging and quantification of neurite length.

Puromycylation (SUnSET) assay for nascent protein synthesis

Puromycin dihydrochloride (MP Biomedicals, 210055280; Sigma-Aldrich, P8833) was dissolved in water to generate a 10 mg ml−1 stock solution. During optimization for neuronal cultures, puromycin was applied at 0.3–10 µg ml−1 for up to 30 min at 37 °C, followed by three washes with ice-cold PBS and IF analysis using an anti-puromycin antibodies. Vehicle-treated cultures served as negative controls and were processed in parallel. For experimental studies, DRG cultures from control or cKO mice were pulsed with 1 µg ml−1 puromycin in fresh medium for 10 min at 37 °C, washed twice with ice-cold PBS and analysed as described above.

In vivo puromycylation assay was performed as previously described70,71. Puromycin was prepared as a 4.8 mg ml−1 stock in PBS and administered i.p. at 21.8 mg per kg (0.040 µmol g−1). Mice were euthanized 30 min after injection; DRGs were dissected, fixed in 4% PFA for 1.5 h at 4 °C, and processed for IF analysis using anti-puromycin antibodies.

RNA isolation and RT–qPCR

Total RNA of cells or tissues was extracted using the RNeasy Plus Mini kit (Qiagen, 74134). For RNA collection from tissue, dissected DRGs were initially stored in RNAlater stabilization solution (Invitrogen, AM7024) and then homogenized in RLT Plus buffer including 1% β-mercaptoehanol using RNase-free disposable pellet pestles (Fisherbrand, 12-141-364). For RNA collection from cells, cell cultures were washed once with PBS and then lysed by vigorous pipetting. Genomic DNA was eliminated through a gDNA eliminator column according to the manufacturer’s instructions. RNA was eluted in RNase-free water and stored at −80 °C. cDNA was prepared with the SuperScript III First-Strand Synthesis System (Invitrogen, 18080051) from equal amounts of RNA (approximately 200 ng from DRG tissues and 500 ng from cell culture for each reaction). RT–qPCR was performed with PerfeCTa SYBR Green FastMix Rox (Quanta Bioscience, 95073-012) with an ABI 7900HT quantitative PCR system (Applied Biosystems) at the Mount Sinai qPCR CoRE. Hprt1 was used as the house-keeping gene to normalize RT–qPCR results. Data were analysed using SDS software v.2.4. A list of the primers for RT–qPCR analysis is provided in Supplementary Table 9.

Western blot

Sciatic (L4–L6) DRGs were collected and immediately frozen in liquid nitrogen and stored at −80 °C for later analysis. Tissues were homogenized and lysed with RIPA buffer (Sigma-Aldrich, R0278) containing EDTA-free protease inhibitor cocktail (Roche, 04693159001) and phosSTOP (Roche, 4906845001). The frozen DRGs in a 1.5 ml tube were disrupted with RNase-free disposable pellet pestles (Fisherbrand, 12-141-364) on ice. Then, 1 U μl−1 benzonase nuclease (Millipore, E1014) was added to lysis buffer. The samples were mixed on a rotator at 4 °C for 30 min and then spun on a tabletop centrifuge at 13,000 rpm for 10 min to remove undissolved pellet. An equal volume of 4× LDS sample buffer (Invitrogen, NP0008) was added to the lysates, which were then boiled at 95 °C for 5 min. The lysates from an equal number of DRGs were loaded and separated by electrophoresis on 4–12% ExpressPlus gels (Genscript, M41210), followed by transfer to a PVDF membrane. Membranes were blocked in Intercept blocking buffer (LI-COR Biosciences, 927-70001) at room temperature for 1 h and subsequently incubated with primary antibodies diluted with Intercept antibody diluent (LI-COR Biosciences, 927-75001) at 4 °C overnight. The blots were washed with PBST (five times for 5 min) and incubated with secondary antibodies at room temperature for 1 h. Bands were detected using the Odyssey Infrared Imaging System (LI-COR Biosciences) and the band intensity was quantified using Image Studio software (v.5.2.5; LI-COR Biosciences).

Primary antibodies for western blots were as follows: anti-AHR (rabbit, 1:1,000, Enzo, BML-SA210, AB_10540536), anti-CYP1B1 (rabbit, 1:1,000, Invitrogen, PA5-95277, AB_2807081), anti-HIF1α (rabbit, 1:500, Novus, NB100-479, AB_10000633), anti-ATF3 (rabbit, 1:1,000, Santa Cruz, sc-188, AB_2258513) and anti-β-actin (mouse, 1:10,000, Sigma-Aldrich, A1978, AB_476692). Secondary antibodies for western blots were as follows: 800CW donkey anti-rabbit IgG (1:10,000, LI-COR Biosciences, 926-32213) and 680RD donkey anti-mouse IgG (1:10,000, LI-COR Biosciences, 926-68072).

IF analysis

For IF analysis of cultured cells, cultures were washed once with PBS and then fixed in 4% ice-cold PFA for 15 min. For IF of cryosections of DRG tissues, sciatic nerves and spinal cords, tissues were fixed in 4% ice-cold PFA/PBS for 12 h, washed in PBS, soaked in 30% sucrose overnight and then embedded in OCT compound (Thermo Fisher Scientific, 23-730-571). Cryosections were cut at a thickness of 12 μm and placed onto SuperFrost Plus slides (VWR, 48311-703) and stored at −20 °C before analysis. The sections were washed with PBS and incubated in blocking buffer containing 5% normal donkey serum (Jackson Immunoresearch, 017-000-121) and 0.3% Triton X-100 (Acros Organics, 9002-93-1) in PBS for 1 h at room temperature. Primary antibodies were diluted in antibody dilution buffer containing 1% BSA (Fisher BioReagents, BP9700100) and 0.3% Triton X-100 in PBS and incubated at 4 °C overnight. Alexa-coupled secondary antibodies were diluted in antibody dilution buffer and added on sections after three washes with PBS and incubated for 1 h at room temperature. DAPI (Invitrogen, D1306) was used for nuclear counterstaining (1:1,000). Slides were washed three times with PBS and mounted with Fluromount G (Southern Biotech, 0100-01). Whole-mount staining of footpad was performed as previously described5. In brief, the footpad skin of the injured hind paw was dissected, cleaned from connective tissue, washed with PBS and fixed in 4% PFA overnight at 4 °C. Tissue was rinsed ten times for 30 min with PBS containing 0.3% Triton-X (0.3% PBST) followed by incubation with primary antibody in blocking buffer (0.3% PBST containing 5% goat serum and 20% DMSO) for 5 days at room temperature with gentle shaking. Tissue was washed ten times for 30 min with 0.3% PBST and incubated with secondary antibody in blocking buffer for 3 days at room temperature with gentle shaking. Subsequently, tissue was washed ten times for 30 min with 0.3% PBST, dehydrated in 50% methanol for 5 min, 100% methanol for 20 min, and cleared in a 1:2 benzyl alcohol: benzyl benzoate mix overnight at room temperature.

Primary antibodies for IF were as follows: anti-AHR (rabbit, 1:300, Enzo, BML-SA210, AB_10540536), anti-ATF3 (rabbit, 1:300, Santa Cruz, sc-188, AB_2258513), anti-tubulin β3 (TUJ1, mouse, 1:1,000, BioLegend, 801201, AB_2313773), anti-tubulin β3 (D71G9, rabbit, 1:300, Cell Signaling, 5568S, AB_10694505), anti-SCG10/STMN2 (rabbit, 1:1,000, Novus, NBP1-49461, AB_10011569), anti-GFP (chicken, 1:1,000, Aves Lab, GFP-1020, AB_10000240), anti-IBA1 (rabbit, 1:1,000, Wako, 019-19741, AB_839504), anti-pS6 ribosomal protein-S235/236 (rabbit, 1:300, Cell Signaling, 2211, AB_331679), anti-5hmC (rabbit, 1:500, Active Motif, 39769, AB_10013602), anti-CD8a (rat, 1:100, Invitrogen, 14-0081-82, AB_467087), anti-CD4 (rat, 1:100, Invitrogen, 14-0041-82, AB_467063), anti-CD68 (rat, 1:100, BioLegend, 137002, AB_2044004), anti-CD45 (rat, 1:100, BD Pharmingen, 550539, AB_2174426), anti-PU1 (E.388.3) (rabbit, 1:300, Thermo Fisher Scientific, MA5-15064, AB_10986949), anti-F4/80 (rat, 1:300, Thermo Fisher Scientific, 14-4801-81, AB_467557), anti-CD206 (goat, 1:200, R&D systems, AF2535, AB_2063012), anti-SOX10 (goat, 1:50, R&D systems, AF2864, AB_442208), anti-PGP9.5 (rabbit, 1:800, Neuromics, RA12103, AB_2315126), anti-NF-H (chicken, EMD Millipore, AB5539, 1:1,000, AB_11212161), anti-CSPG (CS-56) (mouse, Sigma-Aldrich, C8035, 1:100, AB_476879), anti-GFAP (chicken, Aves Labs, GFAP, 1:500, AB_2858088), anti-puromycin (mouse, DSHB, PMY-2A4, 1:100, AB_2619605), anti-p-eIF2α (S51) (D9G8) (rabbit, Cell Signaling, 3398, 1:300, AB_2096481), anti-E-cadherin (24E10) (rabbit, Cell Signaling, 3195, 1:300, AB_2291471), anti-Ly6G (rat, BioLegend, 127601, 1:100, AB_1089179), anti-HIF1α (rabbit, Novus, NB100-479, 1:300, AB_10000633), anti-CGRP (rabbit, Cell Signaling, 14959, 1:300, AB_2798662).

The following Alexa-conjugated donkey secondary antibodies (Jackson ImmunoResearch) were used at 1:300 dilution of a 1 mg ml−1 stock solution (in 50% glycerol): AlexaFluor 488 anti-rabbit IgG (711-545-152), AlexaFluor 488 anti-chicken IgY (703-545-155), AlexaFluor 594 anti-rabbit IgG (711-585-152), AlexaFluor 594 anti-mouse IgG (711-585-150), AlexaFluor 594 anti-rat IgG (712-585-153), AlexaFluor 647 anti-rabbit IgG (711-605-152) and AlexaFluor 647 anti-mouse IgG (715-605-151).

Mouse intestinal tissue preparation

Mouse intestines were prepared according to the Swiss-roll methodology that allows efficient analysis of epithelial morphology72,73. In brief, mouse intestines were isolated from freshly euthanized mice and placed immediately in ice-cold PBS. Intestines were carefully handled with forceps and flushed multiple times using a 20 ml syringe to clear stool and any remaining debris. At this stage, the colon and small intestines were cut and handled separately. A 1 ml glass pipette was inserted into the tissue and carefully laid on a large piece of Whatman filter paper. A sharp blade was used to cut intestines longitudinally down the length of the pipette which was then lightly rolled sideways to flatten the tissue on filter paper. The flattened tissue was subsequently rolled on a Gmark cotton swab stick and immersed in ice cold 4% PFA for overnight fixation at 4 °C. The next day, intestines were washed three times with ice-cold PBS and soaked in 15% sucrose/PBS followed by 30% sucrose/PBS solution each overnight to preserve tissue morphology. Tissues were subsequently embedded in OCT, sectioned and stained as described above.

Motor and sensory behavioural testing

Studies of behavioural recovery of mice after SCI with Ahr cKO were conducted randomized and blinded. Other behavioural data collection experiments were not randomized, and investigators were not blinded. All animals were acclimatized to the isolated procedure room for 30 min before testing. For motor function recovery testing after sciatic nerve injury, hindpaw prints were collected before and after sciatic nerve crush injury. Hindpaws were pressed on an ink pad and mice were then allowed to walk on white paper to collect the prints. The SFI was calculated by measuring dimensions of the paw prints74, using the following formula: SFI = −38.3 × (experimental print length − normal print length)/normal print length + 109.5 × (experimental total spread − normal total spread)/normal total spread + 13.3 × (experimental intermediate toes − normal intermediate toes)/normal intermediate toes − 8.8. For analysis of sensory functional recovery, von Frey filament tests were performed75. The plantar surface of the hindpaw was pricked with a series of fine filaments and the mechanical threshold that evoked a withdrawal reflex was recorded. For ladder walking test, regular rungs were spaced evenly at 1 cm and irregular rungs were arranged in a pseudorandom pattern with variable spacing (1–3 cm). Mice were allowed to walk the length of the ladder while a video was recorded. Each hindlimb step was categorized as correct placement, partial slip or full slip. The number of errors was normalized to the total number of steps to calculate an error rate for each animal. To conduct open-field BMS testing, mice were placed in an open field for 5 min to allow two observers to evaluate freely roaming mice by assessing the following parameters: ankle movements, stepping pattern, coordination, paw placement, trunk stability and tail movement. The mice were scored according to the BMS scoring system64,76,77. Mice were tested before injury (baseline), 2 days after injury and then weekly thereafter. Mice with BMS scores above 5 at 2 days after injury (incomplete injuries) or any mouse that died prematurely before the end of the study were excluded from analysis.

Image analysis

Fluorescence images of mouse DRG neurons, human induced neurons, cortical neurons, sciatic nerves, DRGs, spinal cords and intestinal tissues were acquired using the Zeiss Axioscope microscope equipped with an AxioCam MRm camera and controlled by AxioVision Rel. 4.8 or ZEN 3.6 (Blue edition) software. Where indicated, confocal imaging of mouse footpad tissue and DRG neurons was performed using the Zeiss LSM 780 confocal microscope with ZEN 2012 software. Quantifications were performed using Fiji/ImageJ (v.2.3.0/1.53q) as previously described5.

The length of the longest neurite of each neurite-bearing neuron (neurite longer than the diameter of its soma) was measured using the Simple Neurite Tracer (SNT v.4.0.3). The percentage of neurite-bearing neurons was calculated by counting neurons with neurites longer than the diameter of soma relative to total neurons. Quantification of cytoplasmic to nuclear shuttling was performed by measuring the nuclear signal relative to total signal for each individual neuron for both cultured cells and DRGs. For DRG tissue image analysis, the threshold function was used to quantify the percentage area per section or cell number relative to total determined by DAPI staining. Quantification of cell markers in intestines was conducted by manual cell counting in multiple villi per section.

Adult mouse cortical neuron images were quantified using the Neurite Outgrowth Analysis Module in MetaXpress 6 software (Molecular Devices). The number of valid neurons was determined by quantifying the number of TUBB3+DAPI+ cells in a well with ≥10 µm of total neurite outgrowth. Total neurite outgrowth was determined by dividing the length of all neurites in a well by the number of valid neurons in that respective well.

To establish a regeneration index of injured sciatic nerves, tiled images were merged using Photoshop CC 2019 or Paint (v.11.2511.291.0). The SCG10 fluorescence intensity was measured along the length of the nerve using ImageJ. A rectangular region of interest containing the lesion site and adjacent proximal and distal areas was selected to generate a plot profile. The position with maximal SCG10 profile intensity was used to normalize the regeneration index and the position with minimal intensity was used for subtraction of background value. The most-distal SCG10 fluorescence intensity above background was used to determine maximal axonal length. For skin reinnervation analysis, maximal-intensity projections of 400 mm z-stack images were used for quantification of percentage of PGP9.5+ puncta normalized to the area of footpad using Fiji/ImageJ. Data organization and figure preparation were performed using Microsoft Office, PowerPoint and Excel (v.2601).

RNA-seq analysis

Ipsilateral and contralateral sciatic DRGs were collected from control or AhrcKO mice at 1 d.p.i. after sciatic nerve transection. For next-generation sequencing, RNA was isolated from DRG tissues using the Qiagen RNeasy plus mini kit, and cDNA libraries were sequenced on the Illumina NovaSeq platform (Psomagen). Preprocessing, quality control and alignment of FASTQ files was performed using the NGS-Data-Charmer pipeline. Trim-Galore tool (v.0.6.5)78 was used for adaptor trimming and alignment to the mouse mm10 genome assembly was performed with Bowtie2 (v.2.4.1)79. The ‘rmdup’ module of SAMtools (v.1.10)80 was used to remove duplicated read pairs. FeatureCounts was used to obtain a gene expression matrix, using the parameters ‘--fraction -t gene’ on the GENCODE annotation (vM25). For gene filtering, genes with >5 read counts and in >5 samples were retained before performing differential gene expression analysis with DESeq2. For visualization of genome-wide RNA-seq read distribution, aligned BAM files were further processed into BigWig file format and visualized in the Integrative Genomics Viewer (IGV)81 for inspection of Ahr exon read coverage.

Bioinformatics

TF interaction networks were generated using STRING database82, with the default setting of medium confidence. AhR and HIF1α putative target genes were identified using ChIP-X Enrichment Analysis with ChEA383. Heat maps, volcano plots, bubble plots, bar graphs, box plots and violin plots were generated with FLASKi84, OriginPro 2019/2020b and GraphPad Prism v.9/v.10. GSEA was performed using the GSEA v.4.3.2 software provided by the Broad Institute85, using the non-preranked whole DRG genome and Hallmark_MSigDB gene sets. Pathway enrichment in gene sets was performed with Enrichr86,87 and Ingenuity Pathway Analysis Qiagen knowledge database (IPA; v.153384343)88 with the whole list of expressed genes as background. For Enrichr, pathways with adjusted P < 0.05 (Fisher’s exact test, Benjamini–Hochberg correction) were retained and ranked by combined score. Pathways shown were subsequently curated for biological relevance to the study context. Identification of experimentally validated promoter motifs was conducted using the Eukaryotic Promoter Database platform89. RSS analysis of Ahr-cKO-dependent PL-DEGs was calculated as Δlog2[FC] = log2[FC (cKO)] − log2[FC (control)]. Adjusted P values (Benjamini–Hochberg FDR correction) were derived from the original differential expression analyses used to define differentially expressed genes (|Δlog2[FC]| ≥ 0.3, adjusted P < 0.05) before calculation of RSSs. The RSS itself represents a derived comparative metric and was not subjected to additional statistical testing.

Statistical analysis

For each dataset, the Shapiro–Wilk test was performed to test data normality (P > 0.05 determined as parametric and P ≤ 0.05 determined as nonparametric). For parametric data, unpaired two-tailed Student’s t-tests were used for comparisons between two groups, one-way analysis of variance (ANOVA), Holm–Šidák multiple-test correction was used for comparisons of three groups, and two-way ANOVA followed by Bonferroni’s multiple-comparison test was used for multiple-group comparisons. For nonparametric data, Mann–Whitney two-tailed t-tests were used for comparisons between two groups and Kruskal–Wallis test with Dunn’s multiple-test correction for comparisons between multiple groups. All statistical analyses were performed with GraphPad Prism v.9 or 10. The GraphPad Prism setting NEJM (New England Journal of Medicine) for reporting of P values was applied. P ≤ 0.05 was considered to be statistically significant. Statistical significance for pathway enrichment was evaluated using GSEA with permutation-derived nominal P values and FDR q values as recommended by the Broad Institute guidelines.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.