SUMMARY
Parkinson disease is characterized by loss of dopamine neurons in the substantia nigra1. Similar to other major neurodegenerative disorders, no disease-modifying treatment exists. While most treatment strategies aim to prevent neuronal loss or protect vulnerable neuronal circuits, a potential alternative is to replace lost neurons to reconstruct disrupted circuits2. Herein we report an efficient single-step conversion of isolated mouse and human astrocytes into functional neurons by depleting the RNA binding protein PTB. Applying this approach to the mouse brain, we demonstrate progressive conversion of astrocytes into new neurons that can innervate into endogenous neural circuits. Astrocytes in different brain regions are found to convert into different neuronal subtypes. Using a chemically induced model of Parkinson’s disease, we show conversion of midbrain astrocytes into dopaminergic neurons whose axons reconstruct the nigro-striatal circuit. Significantly, re-innervation of striatum is accompanied by restoration of dopamine levels and rescue of motor deficits. Similar disease phenotype reversal is also accomplished by converting astrocytes to neurons using antisense oligonucleotides to transiently suppress PTB. These findings identify a potentially powerful and clinically feasible new approach to treating neurodegeneration by replacing lost neurons.
Regenerative medicine holds great promise for addressing disorders that feature cell loss3. Given the plasticity of certain somatic cells4, trans-differentiation approaches for switching cell fate in situ have gained momentum2, which would avoid immune recognition. In mouse brain, glial cell plasticity5 have been leveraged to generate new neurons that lead to behavioral benefits in disease models6,7. However, evidence is still limited for trans-differentiated cells replacing lost neurons to reconstitute an endogenous neuronal circuit8.
Most in vivo reprogramming relies on using lineage-specific transcription factors (TFs). We recently elucidated roles for the RNA binding protein PTB and its neuronal analog nPTB in controlling neuronal induction and maturation and demonstrated efficient conversion of both mouse and human fibroblasts to functional neurons through sequential depletion of these RNA binding proteins9,10. Importantly, sequential down-regulation of PTB and nPTB occurs naturally during neurogenesis11, and once triggered, both loops become self-enforcing9,10.
We now explore this strategy to directly convert astrocytes into dopaminergic (DA) neurons in substantia nigra. In a chemically induced mouse Parkinson’s disease (PD) model, we demonstrate that PTB depletion-induced DA neurons potently restore striatal dopamine, reconstitute the nigral-striatal circuit, and reverse PD-relevant motor phenotypes. Given the emerging power of antisense oligonucleotides (ASOs) in modulating brain disorders12, we also provide evidence for anti-PTB ASO as a feasible, single-step strategy for treating PD and perhaps other neurodegenerative diseases.
PTB/nPTB-regulated loops in astrocytes
Astrocytes offer several advantages for in vivo reprogramming in the brain. These non-neuronal cells are abundant, proliferate upon injury, and are highly plastic for switching cell fate5. As established earlier in fibroblasts9,10, PTB suppresses a neuronal induction loop where the microRNA miR-124 inhibits the transcriptional repressor REST that suppresses numerous neuronal genes, including miR-124 (Fig. 1a, loop I). PTB down-regulation induces nPTB, which suppresses the transcription activator Brn2 and the microRNA miR-9, both required for neuronal maturation (Fig. 1a, loop II). Through impacting both loops, sequential down-regulation of PTB and nPTB generates functional neurons from human fibroblasts10.
To explore this cascade for astrocyte-to-neuron conversion, we isolated mouse astrocytes from cerebral cortex and midbrain of postnatal day 4 to 5 pups13 and obtained commercial human fetal cortical astrocytes. These cells express astrocytic markers GFAP and ALDH1L1, but not markers for neurons and other common non-neuronal cell types in the brain (Extended Data Fig. 1a). Similar to fibroblasts, RT-qPCR analysis showed low miR-124 in mouse and human astrocytes (Fig. 1b; Extended Data Fig. 1b). Unexpectedly, both miR-9 and Brn2 were highly expressed astrocytes (Fig. 1b,c; Extended Data Fig. 1c). We further confirmed these expression patterns in endogenous astrocytes and neurons (Extended Data Fig. 1d). Note that REST is reduced, but not eliminated in DA neurons marked by tyrosine hydrolase (TH), consistent with its requirement for sustaining viability of mature neurons in brain14. Thus, while astrocytes resemble fibroblasts in the PTB-regulated loop (Fig. 1a, red-dashed box), they are neuron-like in the nPTB-regulated loop (Fig. 1a, green-dashed box). This property allowed for prediction that PTB knockdown-induced nPTB would immediately be counteracted by miR-9 in astrocytes, as seen during neurogenesis from neural stem cells15. Indeed, unlike human dermal fibroblasts (HDFs), PTB-depleted astrocytes all showed transient nPTB induction (Fig. 1d,e; Extended Data Fig. 1e,f). This reveals a unique property of astrocytes for conversation into functional neurons by PTB knockdown alone in both mice and humans.
Efficient astrocyte-neuron conversion in vitro
To demonstrate the functionality of converted neurons, we transduced mouse cortical astrocytes with a lentivirus expressing a small hairpin RNA against PTB (shPTB). After four weeks, 50 to 80% of shPTB-expressing cells showed neuronal morphology and stained positive for the pan-neuronal markers Tuj1 and MAP2, while control virus transduction showed no effect (Fig. 2a). RNA-seq performed before and after conversion (Supplementary Table 1) compared to public gene expression profiles of astrocytes and neurons (Extended Data Fig. 2a) showed a degree of heterogeneity between independent isolates of cortical or midbrain astrocytes, but both produced more homogeneous transcriptomes upon conversion to neurons (Extended Data Fig. 2b,c). During conversion, typical astrocytic genes were suppressed while neuronal genes were induced (Extended Data Fig. 2b,c). Notably, midbrain astrocytes gave rise to neurons expressing many DA neuron-specific genes (Extended Data Fig. 2d).
Mouse and human astrocyte-derived neurons were NeuN+ and NSE+ and most expressed glutamatergic (marked by VGlut1) or GABAergic (marked by GAD67) markers (Extended Data Fig. 3a,b). Patch clamp recording 6 to 8 weeks after conversion showed currents of voltage-gated sodium/potassium channels and repetitive action potential firing on both mouse and human astrocyte-derived neurons, and by co-culturing with freshly isolated rat astrocytes, spontaneous postsynaptic events of varying frequencies were also recorded (Fig. 2b; Extended Data Fig. 3c,d). Sequential addition of antagonists of ionotropic glutamatergic receptors (NBQX+APV) and an antagonist of GABAA receptors (PiTX) blocked the signals, pointing to the response of converted neurons to synaptic inputs from both glutamatergic and GABAergic neurons. No neuronal electrophysiological properties were detectable in astrocytes transduced with control virus (Extended Data Fig. 3e–h). These data demonstrate single-step conversion to functional neurons by depleting PTB.
Generating new neurons in mouse brain
We next attempted to directly reprogram astrocytes into neurons in mouse brain. We designed an AAV (serotype 2) vector to express shPTB (Fig. 2c), with the corresponding empty vector lacking shPTB as control. To enable lineage tracing, 5’ to the shPTB hairpin we placed a red fluorescent protein (RFP)-coding unit that was initially silenced (by a LoxP-Stop-LoxP cassette), but activated in cells expressing Cre recombinase. Focusing on the substantia nigra of midbrain wherein DA neurons reside (Fig. 2d), we found that RFP+ cells were virtually absent 10 weeks after injecting either AAV-Empty or AAV-shPTB in wild-type mice at postnatal 1 to 2 months, a developmental stage when astrocytes have already lost their neurosphere-generating potential in midbrain16. In contrast, RFP was expressed from both AAVs in GFAP-Cre transgenic mice expressing Cre recombinase from the astrocyte-specific GFAP promoter17 (Extended Data Fig. 4a,b).
Ten weeks after AAV-Empty injection in substantia nigra, most RFP+ cells were astrocytes, as evidenced by typical astrocytic morphology and expression of the astrocyte markers S100b and Aldh1L1 (Extended Data Fig. 4c), with no evidence for viral transduction in NG2 cells (Extended Data Fig. 4d). We detected RFP in ~1% NeuN+ neurons (Extended Data Fig. 4e), demonstrating minimal Cre expression in endogenous neurons in young adult mice. In contrast, 3 weeks after AAV-shPTB injection, ~20% of RFP+ cells expressed NeuN; the percentage of RFP+NeuN+ cells more than tripled by 5 weeks, and by 10 weeks ~80% of RFP+ cells were NeuN+GFAP– (Fig. 2e,f). At this time point, most converted neurons also expressed multiple mature neuron markers, e.g. MAP2, NSE and PSD-95 (Extended Data Fig. 4f), and markers for glutamatergic (VGlut2) or GABAergic (GAD65) neurons (Extended Data Fig. 4g). These data show a PTB shRNA-mediated, time-dependent astrocyte-to-neuron conversion in mouse midbrain.
Progressive maturation of new DA neurons
We next monitored gradual appearance of DA neurons among RFP-labeled cells from 3 to 12 weeks post AAV-shPTB injection in midbrain (Fig. 2e,f). Based on staining with the DA neuron markers DOPA decarboxylase (DDC) and TH, we detected a progressive increase in the number of converted DA neurons, reaching 30 to 35% by 12 weeks (Fig. 2f, Extended Data Fig. 5a,b). All RFP+TH+ DA neurons were detected proximal to but not distal from the site of injection wherein endogenous TH+RPF- DA neurons reside (Extended Data Fig. 5c–e), indicating restricted astrocyte-to-DA neuron conversion within the dopamine domain. Converted neurons also expressed multiple DA neuron markers DAT, VMAT2, EN1, Lmx1a, and Pitx3 (Extended Data Fig. 5f) with morphology similar to endogenous DA neurons (Extended Data Fig. 5g). A significant population of RFP+ cells (~22%) expressed TH and Girk2 (a marker of A9 DA neurons and a subpopulation of A10 neurons), while a minor population (~7%) expressed TH and calbindin-D28k (a marker of A10 DA neurons) (Fig. 2g), indicating that different subtypes of DA neurons were generated. Furthermore, Sox6-marked RFP+ DA neurons were confined to the substantia nigra (SN) and Otx2-marked RFP+ DA neurons to the ventral tegmental area (VTA); both types expressed a common DA neuron marker Aldh1a1 (Extended Data Fig. 5h–j). No RFP+TH+ cells were detected with AAV-Empty (Extended Data Fig. 5k).
Patch clamp recordings (illustrated in Extended Data Fig. 6a,b) showed typical voltage-dependent currents of sodium and potassium channels, repetitive action potential firing, and spontaneous postsynaptic currents. We also recorded the activity of hyperpolarization-active and cyclic nucleotide-gated (HCN) channels that could be specifically blocked with CsCl (Fig. 2h) and relatively wider action potential compared to that of GABAergic neurons (Extended Data Fig. 6c,d), both characteristic of mature DA neurons18,19. We recorded no HCN channel activities and rather infrequent firing of spontaneous action potentials at 6 weeks, but both HCN activities and increased firing of spontaneous action potentials in a fraction of RFP+TH+ DA neurons by 12 weeks (Extended Data Fig. 6e–g). These data demonstrate progressive functional maturation of new DA neurons within the dopaminergic neuron-containing domain of midbrain.
Regional specificity in neuronal conversion
Initially as controls for neuronal conversation in midbrain, we injected AAV-shPTB into cortex and striatum. While the overall conversion efficiency, based on RFP+NeuN+ cells, was similar in these three brain regions, RFP+TH+ DA neurons were mainly detected in midbrain (Fig. 3a,b) and RFP+Ctip2+ or RFP+Cux1+ cortical neurons in cortex (Extended Data Fig. 6h). This apparent regional specificity agrees with the RNA-seq data showing that astrocytes from different brain regions exhibited different gene expression programs20. In our culture models, we treated cortical astrocytes with lentiviral shPTB and generated ~2% TH+ neurons, as additionally characterized by induction of DA neuron-specific genes SLC6a3 and FoxA2 and positive staining for DAT, VMAT2, TH, Lmx1a, Ptx3, and DDC (Extended Data Fig. 7a–d). In contrast, cultured midbrain-derived astrocytes produced a 5-fold higher percentage (~10%) of TH+ neurons (Extended Data Fig. 7e–g).
We found no evidence that conditioned media from cultured midbrain astrocytes enhanced the conversion of cortical astrocytes into TH+ neurons (Extended Data Fig. 8a,b), which prompted us to explore other potential cell autonomous contributions to the regional specificity by performing RT-qPCR analysis on isolated cortical and midbrain astrocytes. Relative to cortical astrocytes, midbrain astrocytes expressed higher basal levels of TFs enriched DA neurons (Extended Data Fig. 8c,d) and in response to PTB depletion, these TFs were more robustly induced in midbrain astrocytes relative to cortical astrocytes (Extended Data Fig. 8e,f). These findings suggest that distinct promoter-enhancer networks may underlie the regional specificity for astrocytes from different brain regions, as recently observed in microglia21. The higher DA neuron conversion rate also enabled us to record dopamine release from midbrain astrocyte-derived neurons (Extended Data Fig. 8g,h,i). These in vitro studies strongly suggest that both higher basal levels and more robust induction of lineage-specific TFs may contribute to the higher propensity of midbrain astrocytes to generate DA neurons. Importantly, the much higher conversion efficiency in the mouse midbrain (~35%) as compared to isolated midbrain astrocytes (~10%) points to the contribution of local microenvironement to DA neuron conversion from midbrain astrocytes.
Innervation in the nigrostriatal pathway
We next investigated the dynamics of fiber outgrowth from newly converted neurons in the brain. We initially monitored the outgrowth of RFP+ fibers along the nigrostriatal bundle (NSB) (Extended Data Fig. 9a,b). Using the sphere method22, we quantified the fiber density, revealing a time-dependent appearance of RFP+ fibers in the NSB, reaching 29.6±5.4 fibers by 12 weeks, with 5.75±0.5 fibers being RFP+TH+ (Extended Data Fig. 9c,d). As DA neurons normally target striatum, we also detected progressively increased RFP+ fibers in this distal region, reaching 14.5±3.6 fibers per area by 12 weeks (Fig. 3c,d). Examining brain regions broadly, we found that RFP+ fibers targeted caudate-putamen (CPu) as well as nucleus accumbens (NAc), septal nuclei (Sept) and olfactory tubercle (OT) (Extended Data Fig. 9e), as observed earlier with grafted neuronal stem cells23. A fraction of these RFP+ fibers were also TH+ (Extended Data Fig. 9f). Importantly, despite ~3-fold more RFP+ fibers in Sept, RFP+TH+ processes were ~4-fold higher in both CPu and NAc regions (Fig. 3e). Focusing on CPu, we detected colocalization on RFP+ fibers of the presynaptic marker VMAT2 and the postsynaptic marker PSD-95, suggestive of synaptic connections (Fig. 3f).
To further substantiate functional targeting to striatum, we injected green fluorescent retrobeads into the CPu region of mice 1 or 3 months after AAV-shPTB delivery to allow for axonal uptake and retrograde labeling of the corresponding cell bodies (Fig. 3g, first panel). One day after injection, we saw green retrobeads in both endogenous TH+/RFP– cells and converted TH+/RFP+ cells within substantia nigra. We could only detect labeling of endogenous DA neurons 1 month after AAV-shPTB transduction (Extended Data Fig. 9g,h), but after 3 months, we detected retrobeads in both endogenous (RFP–) and newly converted (RFP+TH+) neurons (Fig. 3g). These data demonstrate time-dependent incorporation of new DA neurons into the nigrostriatal pathway.
Replenishing lost DA neurons in a PD model
Given the success in generating new DA neurons, we then explored the potential to reconstitute an injured nigrostriatal pathway. To this end, we selected a widely used Parkinson’s Disease (PD) mouse model in which DA neurons were efficiently ablated by 6-hydroxydopamine (6-OHDA), a dopamine analog toxic to DA neurons24. Although this model does not recapitulate all essential features of PD pathogenesis25, it does result in a critical endpoint, the loss of substantia nigra neurons and depletion of striatal dopamine. One month after 6-OHDA injection into one side of the medial forebrain bundle (Fig. 4a), we saw unilateral loss of TH+ cell bodies in midbrain (Fig. 4b, upper), accompanied by a marked increase of GFAP+ astrocytes (Fig. 4b, bottom), indicative of the expected reactive astrocytic response26. One month after the lesion, we injected AAV-Empty or AAV-shPTB in the lesioned side and observed increased RFP+TH+ cell bodies 10~12 weeks later with AAV-shPTB, but not AAV-Empty (Fig. 4c, Extended Data Fig. 10). We also detected a significant increase in RFP+TH+ fibers in striatum of AAV-shPTB, but not AAV-Empty, treated mice (Fig. 4d,e, Extended Data Fig. 11a,b).
Quantitative analysis revealed that the initial 2926±273 TH+ neuronal cell bodies in substantia nigra were reduced ~90% (to 266±22) upon lesion and AAV-shPTB induced 634±38 new RFP+TH+ neurons (Fig. 4f), thereby restoring TH+ neurons to ~1/3 (904±108) of the initial number. Similarly, 6-OHDA lesioning reduced TH+ fibers by ~90% and AAV-shPTB restored total TH+ fiber density to ~30% of the unlesioned brain (Fig. 4g). We detected a slight increase in TH+RFP– fiber density following AAV-shPTB treatment as compared to AAV-Empty (Extended Data Fig. 11c,d), suggesting that AAV-shPTB treatment might aid recovery of some remaining damaged endogenous DA neurons. Quantification of total RFP+ fibers versus RFP+TH+ fibers in different striatal regions revealed that while Sept was enriched with RFP+ fibers (Fig. 4h), CPu contained the highest proportion of RFP+TH+ fibers (Fig. 4i, Extended Data Fig. 12). Thus, without any additional treatment to specify neuronal subtypes, AAV-shPTB is sufficient to induce new DA neurons from endogenous midbrain astrocytes that partially restore lost DA neurons and their axons within the nigrostriatal dopamine pathway.
Restoration of striatal dopamine
We next asked whether AAV-shPTB-induced neurons would restore dopamine levels in striatum by preparing extracts from striatum and quantifying dopamine levels by high performance liquid chromatography (HPLC) (Fig. 5a). Known amounts dopamine were spiked-in to define the DA elution position and to establish a linear correlation between signal intensities and the amount of dopamine (Extended Data Fig. 13a,b). We detected similar amounts of dopamine in both sides of unlesioned mice (Fig. 5b) and found 6-OHDA lesion reduced dopamine to ~25% of the normal level (Fig. 5c). Treatment with AAV-shPTB, but not AAV-Empty, dramatically increased dopamine compared to lesioned striatum (Fig. 5d), reaching ~65% of the unlesioned level (Fig. 5e).
To test if DA neuron function was restored, we directly measured activity-induced dopamine release to demonstrate restored DA neuron functions by inserting in live animals a stimulating electrode (SE) in medial forebrain bundle (MFB) and a carbon fiber electrode (CFE) in striatum (Fig. 5f). In lesioned mice treated with AAV-Empty, we recorded stimulation-dependent dopamine release in the unlesioned side but a greatly diminished signal in the lesioned side (Fig. 5g, left). In lesioned mice treated with AAV-shPTB, activity-induced dopamine release was detected in both the unlesioned and lesioned sides (Fig. 5g, right). Three out of four animals showed significant restoration of DA release (Fig. 5h). Placing SE and CFE on striatal slices from the same set of animals (Fig. 5i), we recorded activity-induced dopamine release (Fig. 5j), with the same mouse showing reduced release as in live recording (Fig. 5k), ruling out a misplaced electrode as a cause for reduced release in vivo. These data demonstrate robust restoration of striatal dopamine and activity-induced dopamine release in AAV-shPTB reprogrammed mice.
Reversing PD-relevant motor phenotypes
Next, we tested the ability to restore motor function to 6-OHDA lesioned mice with AAV-shPTB. We performed three commonly used behavior tests, the first two based on drug-induced rotation and the third on spontaneous motor activities27. Both contralateral rotation induced by apomorphine and ipsilateral rotation triggered by amphetamine were markedly increased following lesion with 6-OHDA; both phenotypes were progressively restored to nearly wild-type levels within 3 months after AAV-shPTB treatment (Fig. 6a,b). No correction was recorded in mice treated with either AAV-Empty (Fig. 6a) or non-specific AAV-shGFP (Extended Data Fig. 13c).
To examine spontaneous motor activity, we scored limb use bias. Unlesioned mice used both limbs with relatively equal frequency, while unilaterally lesioned mice showed preferential ipsilateral touches, indicating disabled contralateral forelimb function. In lesioned mice transduced with AAV-shPTB, we observed a time-dependent improvement in contralateral forelimb use, while AAV-Empty transduced mice failed to show any improvement (Fig. 6c). These data demonstrate essentially full correction of the motor phenotypes in this chemically induced PD model. As PD and most other types of neurodegenerative diseases show age-dependent onset, we extended our approach from relatively young (postnatal 2 months) to 1-year old mice, an age comparable to PD onset in humans. Interestingly, while the behavior benefits based on apomorphine-induced rotation did not reach statistical significance, perhaps due to relatively unstable phenotype scored by this assay on aged animals (Fig. 6d), significant behavioral improvement was recorded with the forelimb use asymmetry test (Fig. 6e). These observations point to age-related decrease in neuronal reprogramming, a critical challenge to be met in future studies.
Chemogenetic analysis of new DA neurons
To test if new DA neurons are directly responsible for the restoration of motor function, we employed a chemogenetic approach known as the DREADD platform28 (Fig. 6f). We replaced RFP in our AAV-shPTB vector with a gene encoding an engineered inhibitory muscarinic receptor variant hM4Di, which no longer responds to acetylcholine but instead to clozapine-N-oxide (CNO)29. As with the original AAV-shPTB, the expression of both hM4Di and shPTB was activated in astrocytes in GFAP-Cre mice. Neurons converted from astrocytes would be expected to incorporate this receptor into their plasma membrane and respond to CNO to activate Gi signaling, leading to hyperpolarization and suppression of electrical activity30. CNO is metabolized 2 to 3 days after administration to allow functional restoration of hM4Di-expressing neurons29.
As expected, 2 months after AAV-hM4Di-shPTB transduction, motor performance of 6-OHDA lesioned GFAP-Cre mice was restored based on the limb use bias test. The lesioned-induced phenotype re-appeared within 40 min of intraperitoneal injection of CNO, but not saline; the CNO-provoked motor phenotype disappeared within 3 days (Fig. 6g). CNO injection into unlesioned mice showed no effect, indicating that the drug did not impact endogenous DA neurons (Fig. 6h). AAV-hM4Di-Empty showed no benefit to lesioned mice and no impact on unlesioned mice with or without CNO (Fig. 6i, Extended Data Fig. 13d), demonstrating that the observed behavior improvement with AAV-hM4Di-shPTB was reprogramming-dependent.
Importantly, targeted expression of hM4Di within endogenous DA neurons (by injecting AAV-hM4Di-Empty into the midbrain of mice expressing Cre from the DA neuron-specific SLC6a3 gene promoter) was sufficient to induce the parkinsonian phenotype, but only in the presence of CNO (Fig. 6j), indicating that the introduction of the receptor into endogenous DA neurons had the intended, CNO-mediated inactivating effect. Collectively, these data provide unequivocal evidence that activity-induced signaling by astrocyte-derived neurons is responsible for phenotypic recovery.
ASO-based neuronal conversion and rescue
The PTB-regulatory loop is self re-enforcing once triggered by initial PTB knockdown (see Fig. 1a). In response to PTB reduction, miR-124 becomes more efficient in targeting REST (due to the ability of PTB to directly compete with the miRNA targeting site in the 3’UTR of the mRNA encoded by REST), resulting in reduced REST, an action that drives further de-repression of miR-124 and thus further suppression of PTB9,10. This suggested that transient suppression of PTB might be sufficient to generate new neurons through ASO-mediated PTB mRNA degradation by intranuclear RNase H12. We thus synthesized and screened anti-PTB ASOs containing a phosphorothioate backbone12 and a 3’ fluorescein. An ASO targeting GFP served as control. Three PTB-ASOs, but not GFP-ASO, reduced PTB expression upon transfection into mouse astrocytes (Fig. 7a). The best targeting PTB-ASO (#4), but not GFP-ASO, induced multiple neuronal markers, including Tuj1, MAP2, NSE and NeuN after 5 weeks (Fig. 7b). A fraction of converted neurons were dopaminergic, as indicated by positive TH staining (Fig. 7b). Patch clamp recording showed that these in vitro converted neurons were functional (Extended Data Fig. 14a–c).
We next injected PTB-ASO or control GFP-ASO into the midbrain of transgenic mice carrying a tamoxifen-inducible Cre selectively expressed in astrocytes and a TdTomato encoding gene activated by Cre (Extended Date Fig. 14d,e). We induced Cre in these mice at postnatal day 35 and 2 weeks later stereotactically injected ASOs unilaterally into their substantia nigra. PTB-ASO turned a fraction of TdTomato-labeled cells into NeuN+ neurons by 8 weeks (Fig. 7c) and TH+ neurons by 12 weeks (Fig. 7d). Patch clamp recording demonstrated that these in vivo converted neurons displayed functional neuro-physiological properties (Extended Date Fig. 14f–i). Most importantly, PTB-ASO, but not control GFP-ASO, significantly rescued the 6-OHDA lesion-induced phenotype 3 months post injection based on both apomorphine-induced rotation and ipsilateral touch bias tests (Fig. 7e–g).
In summary, we report a single-step strategy to convert brain astrocytes into functional neurons. Our approach takes advantage of the genetic underpinnings of a neuronal differentiation program that is present, but latent in astrocytes. Taking advantage of the regional specificity in neuronal reprogramming, we efficiently converted midbrain astrocytes into functional DA neurons that integrate into the nigrostriatal dopamine pathway. Applying this approach to a chemically induced PD model, we demonstrated partial replenishment of lost DA neurons and the restoration of striatal dopamine, leading to significant reversal of motor deficits. Significantly, our ASO-based experiments illustrate a potentially clinically feasible approach for treatment of PD patients. Eventual application of our approach to humans will need to surmount many hurdles, including age-related restrictions to reprogramming, understanding any potential adverse effects caused by local astrocyte depletion (although we only converted only a small fraction of injury-induced astrocytes), specifically targeting regions that harbor vulnerable neurons, and detecting potential side-effects due to mis-targeted neurons. Importantly, each of these objectives can now be experimentally addressed to develop this promising therapeutic strategy, one that may be applicable to not only PD, but also other different neurodegenerative disorders.
METHODS
Vectors and virus production
To build the lentiviral vector to express shPTB in mouse astrocytes, the target sequence 5’-GGGTGAAGATCCTGTTCAATA-3’ was shuttled into the pLKO.1-Hygromycin vector (Addgene, #24150). To express shPTB in human astrocytes, the target sequence 5’-GCGTGAAGATCCTGTTCAATA-3’ was used. Viral particles were packaged in Lenti-X 293T cells (Takara bio) co-transfected with the two package plasmids: pCMV-VSV-G (Addgene, #8454) and pCMV-dR8.2 dvpr (Addgene, #8455). Viral particles were concentrated by ultracentrifugation in a Beckman XL-90 centrifuge with SW-28 rotor at 20,000 rpm for 120 minutes at 4°C.
To construct AAV vectors, the same target sequence against mouse PTB was first inserted into the pTRIPZ-RFP vector (Dharmacon) between the EcoR I and Xho I sites. The segment containing RFP and shPTB was next subcloned to replace CaMP3.0 in the Asc I-digested AAV-CMV-LOX-STOP-LOX-mG-CaMP3.0 vector (Addgene, #50022). The empty vector contains only RFP subcloned into the same vector. To construct a control vector expressing non-target shRNA, the shPTB was replaced with 5’-CAACAAGATGAAGAGCACCAA-3’ to target GFP. The resulting vectors are referred to as AAV-shPTB, AAV-Empty or AAV-shGFP. The AAV-hM4Di-shPTB vector was constructed by replacing RFP in AAV-shPTB with the cDNA of hM4Di, which was subcloned from pAAV-CBA-DIO-hM4Di-mCherry vector (Addgene, #81008). To express RFP and shPTB under the GFAP promoter, a segment containing floxed/off RFP and shPTB was used to replace EGFP in the AAV-GFAP-EGFP vector (Addgene, #50473) between the Sal I and Hind III sites.
Viral particles of AAV2 were packaged in co-transfected HEK293T cells with the other two plasmids: pAAV-RC and pAAV-Helper (Agilent Genomics). After harvest, viral particles were purified with a heparin column (GE HEALTHCARE BIOSCIENCES) and then concentrated with an Ultra-4 centrifugal filter unit (Amicon, 100,000 molecular weight cutoff). Titers of viral particles were determined by qPCR to achieve >1×1012 particles/ml.
Synthesis of antisense oligonucleotides
Antisense oligonucleotides (ASOs) were synthesized at Integrated DNA Technologies (IDT). The sequence of the target region in mouse PTB for ASO synthesis is 5’-GGGTGAAGATCCTGTTCAATA-3’, and the target sequence in Turbo GFP is 5’- CAACAAGATGAAGAGCACCAA-3’. The backbones of all ASOs contain phosphorothioate modifications. Fluorescein (FAM) was attached to the 3’ end of those ASOs for fluorescence detection.
Western blot and RT-qPCR
For Western blotting, cells were lysed in 1xSDS loading buffer, and after quantification, bromophenol blue was added to a final concentration of 0.1%. 25~30ug of total protein was resolved in 10% Nupage Bis-Tris gel and probed with primary antibodies listed in the Supplementary Table 3.
For RT-qPCR, total RNA was extracted with Trizol (Life Technology) and 10ug/ml of glycogen was used to enhance precipitation of small RNAs. Total RNA was first treated with DNase I (Promega) followed by reverse transcription with the miScript II RT Kit (QIAGEN, 218160, for microRNA analysis) or the SuperScript™ III First-Strand Synthesis System (ThermoFisher, 18080051, for mRNA analysis). RT-qPCR was performed using the miScript SYBR Green PCR Kit (QIAGEN, 218073 for microRNA) or the Luna Universal qPCR Master Mix (NEB, M3003L, for mRNA) on a step-one plus PCR machine (Applied Biosystems). The primers used are listed in Supplementary Table 4.
Cell culture and trans-differentiation in vitro
Mouse astrocytes were isolated from postnatal (P4~P5) pups. Cortical or midbrain tissue was dissected from whole brain and incubated with Trypsin before plating onto dishes coated with Poly-D-lysine (Sigma). Isolated astrocytes were cultured in DMEM (GIBCO) plus 10% fetal bovine serum (FBS) and penicillin/streptomycin (GIBCO). Dishes were carefully shaken daily to eliminate non-astrocytic cells. After reaching ~90% confluency, astrocytes were disassociated with Accutase (Innovative Cell Technologies) followed by centrifugation for 3 min at 800 rpm, and then cultured in astrocyte growth medium containing DMEM/F12 (GIBCO), 10% FBS (GIBCO), penicillin/streptomycin (GIBCO), B27 (GIBCO), 10 ng/ml epidermal growth factor (EGF, PeproTech), and 10 ng/ml fibroblast growth factor 2 (FGF2, PeproTech).
To induce trans-differentiation in vitro, mouse astrocytes were re-suspended with astrocyte culture medium containing the lentivirus that targets mouse PTB, and then plated on Matrigel Matrix (Corning)–coated coverslips (12 mm). After 24 hrs, cells were selected with hygromycin B (100ug/ml, Invitrogen) in fresh astrocyte culture medium for 72 hrs. The medium was next switched to the N3/basal medium (1:1 mix of DMEM/F12 and Neurobasal, 25 μg/ml insulin, 50 μg/ml transferring, 30 nM sodium selenite, 20 nM progesterone, 100 nM putrescine,) supplemented with 0.4% B27, 2% FBS, a cocktail of 3 small molecules (1 μM ChIR99021, 10 μM SB431542 and 1mM Db-cAMP), and neurotrophic factors (BDNF, GDNF, NT3 and CNTF, all in 10ng/ml). The medium was half-changed every the other day. To measure synaptic currents, converted cells after 5~6 weeks were added with fresh GFP-labeled rat astrocytes, and after further 2 to 3 weeks of co-culture, patch-clamp recordings were performed. To test the effect of PTB-ASO in vitro, mouse astrocytes were cultured in 6-well plates with astrocyte growth medium. When cells reached 70%~80% confluency, ASO-PTB or ASO-GFP (75pmol per well) were transfected with Lipofectamine RNAimax (ThermoFisher Scientific). 48 hrs post ASO treatment, cells were either harvested for immunoblotting or switched to the N3/basal medium for further differentiation.
Human astrocytes were purchased from a commercial source (Cell Applications), taken from cerebral cortex at the gestational age of 19 weeks. Cells were grown in astrocyte medium (Cell Applications) and sub-cultured until reaching ~80% confluency. For trans-differentiation in vitro, cultured human astrocytes were first disassociated with Trypsin; re-suspended in astrocyte medium containing the lentivirus that targets human PTB; and plated on Matrigel Matrix–coated coverslips. After 24 hrs, cells were selected with hygromycin B (100ug/ml, Invitrogen) for 72 hrs. The medium was switched to the N3/basal medium supplemented with 0.4% B27, 2% FBS and neurotrophic factors (BDNF, GDNF, NT3 and CNTF, all in 10ng/ml). To measure synaptic currents, converted cells after 3 weeks were added with fresh GFP-labeled rat astrocytes, and after further 2 to 3 weeks of co-culture, patch-clamp recordings were performed.
Other cell lines used were checked for morphology by microscopy and immunostaining with specific markers. HEK293T cells were from a common laboratory stock. Lenti-X 293T cells were purchased from Takara Bio (#632180). Mouse Embryonic Fibroblasts (MEF) were isolated from E14.5 C57BL/6 mouse embryos. Mouse neurons were isolated from E17~18 C57BL/6 mouse embryos. Human dermal fibroblasts (HDF) were purchased from ATCC (PCS-201–012). Human neurons were trans-differentiated from human neuronal progenitor cells, which is a gift from Dr.Alysson Muotri’s lab. All cell lines tested negative for mycoplasma contamination by Hoechst staining of the cells.
RNA-seq and data analysis
Total RNA was extracted from cultured cells with the Direct-zol RNA MiniPrep kit (Zymo Research). RNA-seq was performed as previously described31. In brief, 2ug of total RNA was first converted to cDNA by the superscript III first strand synthesis kit with primer Biotin-B-T. The cDNA was purified on a PCR Clean-Up Kit (Clontech) column to remove free primer and enzyme. Terminal transferase (NEB) was applied to block the 3’ end of cDNA. Streptavidin-coaged magnetic beads (Life Technology) were used to isolate cDNAs. After RNA degradation by sodium hydroxide, the second-strand was synthesized by random priming and then eluted from beads by heat denaturing. The cDNA was then used as template to construct RNA-seq libraries. Sequencing was run on the Hiseq 4000 system. Low-quality reads were filtered and adaptors trimmed by using the software cutadapt with parameters “-a A{10} -m 22” (ref32). Cleaned reads were mapped to the pre-indexed mm10 transcriptome using the software salmon with parameters: “quant -l A --validateMappings --seqBias” (ref33). Raw counts of each library were applied to the R package DEseq2 for analysis of differential gene expression (DEG) with FDR < 0.05 and hierarchical clustering was performed, as described34. The raw data from RNA-seq experiments have been deposited into NCBI under the accession number GSE142250.
Immunocytochemistry
Cultured cells grown on glass slides were fixed with 4% paraformaldehyde (PFA, Affymetrix) for 15 min at room temperature followed by permeabilization with 0.1% Triton X-100 in PBS for 15 min on ice. After washing twice with PBS, cells were blocked in PBS containing 3% BSA for 1 hr at room temperature. Fixed cells were incubated with primary antibodies (listed in Supplementary Table 3) overnight at 4°C in PBS containing 3% BSA. After washing twice with PBS, cells were incubated with secondary antibodies conjugated to Alexa Fluor 488, Alexa 546, Alexa 594 or Alexa 647 (1:500, Molecular Probes) for 1 hr. 300 nM DAPI in PBS was applied to cells for 20 min at room temperature to label nuclei. After washing three times with PBS, the Fluoromount-G mounting medium was applied onto the glass slides, and images were examined and recorded under Olympus FluoView FV1000. Counting of cell numbers and percentages were all based on multiple biological replicates, as detailed indicated in specific figure legends.
For staining brain sections, mice were sacrificed with CO2 and immediately perfused, first with 15~20mL saline (0.9% NaCl) and then with 15 mL 4% PFA in PBS to fix tissues. Whole brains were extracted and fixed in 4% PFA overnight at 4°C, and then cut into 14~18μm sections on a cryostat (Leica). Before staining, brain sections were incubated with sodium citrate buffer (10 mM Sodium citrate, 0.05% Tween 20, pH 6.0) for 15 min at 95°C for antigen retrieval. The slides were next treated with 5% normal donkey serum and 0.3% Triton X-100 in PBS for 1 hr at room temperature. The rest of steps were performed as with cultured cells on coverslips.
Quantification of neuronal cell body and fiber density
Coronal sections across midbrain were sampled at intervals of 120~140 μm for immunostaining of TH and RFP. The total number (Nt) of cell types of interest was calculated by the stereological method correcting with the Abercrombie formula35. The formula used is Nt = Ns*(St/Ss)*M/(M+D), where Ns is the number of neurons counted, St is the total number of sections in the brain region, Ss is the number of sections sampled, M is the thickness of section, and D is the average diameter of counted cells, as previously described36,37.
RFP-positive and RFP/TH-double positive fibers were quantified using a previously published sphere method38. For analyzing striatal fibers, three coronal sections (A/P +1.3, +1.0 and +0.70) were selected from each brain36. For analyzing fibers in the nigrostriatal bundle (NSB), the coronal section closed to position Bregma −1.6 mm was selected. For each selected section, three randomly chosen areas were captured from one section of z-stack images at intervals of 2 μm using a 60x oil-immersion objective. A sphere (diameter: 14 μm) was then generated as a probe to measure fiber density within the whole z-stack. Each fiber crossing the surface of sphere was given one score. All images were analyzed by Image-J 1.47v (Wayne Rasband, Bethesda, MD)39,40.
Electrophysiological recording
Patch clamp recordings were performed with Axopatch-1D amplifiers or Axopatch 200B amplifier (Axon Instruments) connecting to a Digidata1440A interface (Axon Instruments). Data were acquired with pClamp 10.0 or Igor 4.04 software and analyzed with MatLab v2009b. For neurons in vitro converted from mouse astrocytes, small molecules were removed from medium 1 week before patch clamp recording. Both cultured mouse and human cells were first incubated with oxygenated (95% O2 and 5% CO2) artificial cerebrospinal fluid (150 mM NaCl, 5 mM KCl, 1 mM CaCl2, 2 mM MgCl2, 10 mM glucose, 10 mM HEPES, pH 7.4) at 37°C for 30 min and whole-cell patch clamp was performed on selected cells.
For recording activities of in vivo converted neurons, cortical slices (300 μm) were prepared 6 or 12weeks after injection of AAV. Brain slices were prepared with a vibratome in oxygenized (95% O2 and 5% CO2) dissection buffer (110.0 mM choline chloride, 25.0 mM NaHCO3, 1.25 mM NaH2PO4, 2.5 mM KCl, 0.5 mM CaCl2, 7.0 mM MgCl2, 25.0 mM glucose, 11.6 mM ascorbic acid, 3.1 mM pyruvic acid) at 4°C followed by incubation in oxygenated ACSF (124 mM NaCl, 3 mM KCl, 1.2 mM NaH2PO4, 26 mM NaHCO3, 2.4 mM CaCl2, 1.3 mM MgSO4, 10 mM dextrose and 5 mM HEPES; pH 7.4) at room temperature for 1 hr before experiments.
Patch pipettes (5 – 8 MΩ) solution contained 150 mM KCl, 5 mM NaCl, 1 mM MgCl2, 2 mM ethylene glycol tetra acetic acid (EGTA)-Na, and 10 mM Hepes pH 7.2. For voltage-clamp experiments, the membrane potential was typically held at −75 mV. The following concentrations of channel blockers were used: PiTX: 50uM; NBQX: 20uM; APV: 50uM. All of these blockers were bath-applied following dilution into the external solution from concentrated stock solutions. All experiments were performed at room temperature.
Transgenic mice
The GFAP-Cre transgenic mouse (B6.Cg-Tg(Gfap-cre)77.6Mvs/2J) was used in AAV-shPTB induced in vivo reprogramming experiments. The SLC6a3-Cre transgenic mouse (B6.SJL-Slc6a3tm1.1(cre)Bkmn/J) was used for chemogenetic experiments. For testing the effect of ASOs in vivo, the GFAP-CreER™ mouse (B6.Cg-Tg(GFAP-cre/ERT2)505Fmv/J) was crossed with the Rosa-tdTomato mouse (B6.Cg-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J). Offsprings of these double GFAP-CreER™;Rosa-tdTomato transgenic mice at age of postnatal 30–40 days were injected with tamoxifen (dissolved in corn oil at a concentration of 20 mg/ml) via intraperitoneal injection once every 24 hrs for a total of 5 consecutive days. The dose of each injection was 75 mg/kg. Two weeks after tamoxifen administration, PTB-ASO or control ASO was injected into substantia nigra of those mice to investigate ASO-induced in vivo reprogramming.
All transgenic mice were purchased from The Jackson Laboratory. All procedures were conducted in accordance with the guide of The University of California San Diego Institutional Animal Care and Use Committee (Protocol# S99116). Both male and female mice were used and randomly grouped in this study. No pre-tests were performed to determine sample sizes. Most studies used mice at age of postnatal day 30–40. As indicated in Fig. 6d,e, mice at postnatal age of 1 year were also tested for AAV-shPTB mediated reprogramming and behavioral tests.
Ipsilateral lesion with 6-OHDA and stereotaxic injections
Adult WT and GFAP-Cre mice at age of postnatal day 30–40 were used to perform surgery to induce lesion. Animals were anaesthetized with a mix of ketamine (80–100 mg/kg) and xylazine (8–10 mg/kg) and then placed in a stereotaxic mouse frame. Before injecting 6-hydroxydopamine (6-OHDA, Sigma), mice were treated with a mix of desipramine (25 mg/kg) and pargyline (5 mg/kg). 6-OHDA (3.6 μg per mouse) was dissolved in 0.02% ice-cold ascorbate/saline solution at a concentration of 15 mg/ml and used within 3 hrs. The toxic solution was injected into the medial forebrain bundle (MFB) at the following coordinates (relative to bregma): anterior–posterior (A/P) = −1.2mm; medio-lateral (M/L) = 1.3mm and dorso-ventral (D/V) = 4.75mm (from the dura). Injection was applied in a 5 μl Hamilton syringe with a 33G needle at the speed of 0.1 μl/min. The needle was slowly removed 3 min after injection. Cleaning and suturing of the wound were performed after lesion.
AAVs or ASOs were injected into substantia nigra ~30 days after 6-OHDA induced lesion. 4 μl of AAV or 2 μl of ASO (1 ug/ul) was injected into lesioned nigra at the following coordinates A/P = −3.0 mm; M/L = 1.2 mm; and D/V = 4.5 mm. Injections were made using the same syringe and needle, at a rate of 0.5 μl/min. The needle was slowly removed 3 min after injection. For injecting AAV in striatum and visual cortex, the following coordinates were employed: A/P= +1.2 mm; M/L= 2.0 mm; D/V= 3.0 mm (for striatum), and A/P= −4.5 mm; M/L= 2.7 mm; D/V= 0.35 mm (visual cortex).
Retrograde tracing
For retrograde tracing of the nigrostriatal pathway, GFAP-Cre mice with or without 6-OHDA induced lesion were first injected with AAV-shPTB. 1 or 3 months after AAV delivery, green Retrobeads IX (Lumafluor, Naples, FL) were unilaterally injected at two sites into the striatum on the same side of AAV injection, using following two coordinates: A/P = + 0.5mm, M/L = 2.0 mm; D/V= 3.0 mm; and A/P= +1.2 mm; M/L= 2.0 mm; D/V= 3.0 mm. ~2 μl of beads were injected. After 24 hrs, animals were sacrificed and immediately perfused. Their brains were fixed with 4% PFA for sectioning and immunostaining.
Measurement of striatal dopamine
Dopamine levels in mouse striatum were measured by Reverse-phase High-performance Liquid Chromatography (HPLC). The HPLC analysis was performed on an Agilent 1260 Infinity HPLC system with an Agilent Zorbax SB-C18 semi-prep column (ID 9.4 × 250 mm, 5 μm, 80Å) using a water/methanol gradient containing 0.1% formic acid. Each substance was characterized by retention time and 260 nm absorbance under Variable Wavelength Detector (VWD), as previously described41,42. Striatal samples were directly prepared from brain tissue. Briefly, striatal dissection was carried out immediately after euthanization. After homogenized in 200 μl of 0.1 M hydrochloric acid with a squisher, the sample was centrifuged (12,000g, 10 min, 4°C). The resulting supernatant was filtered by a 0.2 μm Nanosep MF centrifugal device and then applied to HPLC analysis42,43. Investigators were masked to group identity for measurements of striatal dopamine.
Amperometric dopamine recording
The amperometric recording of dopamine release in vivo was conducted, as described previously44,45. Anesthetized mice were fixed on a stereotaxic instrument (Narishige, Japan). Body temperature was monitored and maintained at 37°C using a heating pad (KEL-2000, Nanjing, China). A bipolar stimulating electrode was implanted in medial forebrain bundle (MFB: 2.1 mm AP, 1.1 mm ML, 4.0 – 5.0 mm DV). The recording carbon fiber electrode (CFE) (7 μm diameter, 400 μm long) was implanted in the caudate–putamen of dorsal striatum (CPu: 1.1 mm AP, 1.7 mm ML, 3.4 mm DV). An Ag/AgCl reference electrode was placed in the contralateral cortex. Electric stimulation was generated using an isolator (A395, WPI, USA) as a train of biphasic square-wave pulses (0.6 mA, 1 ms duration, 36 pulses, 80 Hz). The CFE was maintained at 780 mV to oxidize the substance. The amperometric signal was amplified by a patch-clamp amplifier (PC2C, INBIO, Wuhan, China), low pass-filtered at 50 Hz and recorded by MBA-1 DA/AD unit v4.07 (INBIO, Wuhan, China). Investigators were masked to group identity for measurements of dopamine release.
Amperometric recordings of dopamine release on dorsal striatum slices were conducted, as described previously46,47. Anesthetized mice were transcardially perfused with ~20 ml ice-cold artificial cerebrospinal fluid (“sectioning aCSF”) containing 110 mM C5H14NClO, 2.5 mM KCl, 0.5 mM CaCl2, 7 mM MgCl2, 1.3 mM NaH2PO4, 25 mM NaCO3, 25 glucose (saturated with 95% O2 and 5% CO2). The brain was rapidly removed and cut into 300-μm horizontal slices on a vibratome (Leica VT 1000s; Nussloch, Germany) containing ice-cold sectioning solution. Slices containing striatum were allowed to recover for 30 min in “recording aCSF”: 125 mM NaCl, 2.5 mM KCl, 2 mM CaCl2, 1.3 mM MgCl2, 1.3 mM NaH2PO4, 25 mM NaCO3, 10 mM glucose (saturated with 95% O2 and 5% CO2) at 37°C, and then kept at room temperature for recording. CFEs (7 μm diameter, 200 μm long) holding at 780 mV were used to measure dopamine release in striatum. The exposed CFE tip was completely inserted into the subsurface of the striatal slice at an angle of ~30°. Single electrical field stimulation (E-stim) pulses (0.2 ms, 0.6 mA) were delivered through a bipolar platinum electrode (150 μm in diameter) and generated by a Grass S88K stimulator (Astro-Med). The amperometric current (Iamp) was low-pass filtered at 100 Hz and digitized at 3.13 kHz. Off-line analysis was performed using Igor software (WaveMetrix). Amperometric recording in cultured cells was conducted as previously described48. Reprogrammed neurons were pre-treated with 100 μM L-DOPA for 30 min for signal enhancement. During recording, CFEs (WPI, CF30–50) were held at +750 mV to measure dopamine release. For baseline recording, cells were kept in normal aCSF (150 mM NaCl, 5 mM KCl, 1 mM CaCl2, 2 mM MgCl2, 10 mM glucose, 10 mM HEPES, pH 7.4). The solution was then switched to a high potassium aCSF (130 mM NaCl, 25 mM KCl, 1 mM CaCl2, 2 mM MgCl2, 10 mM glucose, 10 mM HEPES, pH 7.4) to induce the release of dopamine. No spike-like events were detected when the electrode was held to −750 mV under the same conditions48.
Behavioral testing
All behavioral tests were carried out 21–28 days after 6-OHDA induced lesion or 2, 3, and 5 months after the delivery of AAVs or ASOs. For rotation test, apomorphine-induced rotations in mice were recorded after intraperitoneal injection of apomorphine (Sigma, 0.5 mg/kg) under a live video system. Mice were injected with apomorphine (0.5 mg/kg) on two separate days prior to performing the rotation test (for example, if the test was to be performed on Friday, the mouse would be first injected on Monday and Wednesday), which aimed to prevent a ‘wind-up’ effect that could obscure the final results. Rotation was measured 5 min following the injection for 10 min, as previously described49,50 and only full-body turns were counted. Rotations induced by D-amphetamine (Sigma, 5 mg/kg) were determined in the same system51,52. Data were expressed as net contralateral or ipsilateral turns per min.
To perform the cylinder test, mice were individually placed into a glass cylinder (diameter 19 cm, height 25 cm), with mirrors placed behind for a full view of all touches, as described49,53. Mice were recorded under a live video system and no habituation of the mice to the cylinder was performed before recording. A frame-by-frame video player (KMPlayer version 4.0.7.1) was used for scoring. Only wall touches independently with the ipsilateral or the contralateral forelimb were counted. Simultaneous wall touches (touched executed with both paws at the same time) were not included in the analysis. Data are expressed as a percentage of ipsilateral touches in total touches.
For chemogenetic experimenst, cylinder tests were carried out 21–28 days after 6-OHDA induced lesion and 2 months after the delivery of AAV-hM4Di-shPTB. In the later test, each animal was firstly injected with saline to record the baseline of recovery. Subsequent recording was performed 40 min after intraperitoneal injection of CNO (Biomol International, 4 mg/kg) or 72 hrs after metabolism of the drug54.
Data analysis, statistics, and availability
The numbers (n) of biological replicates or mice were indicated in individual figure legends. Experimental variations in each graph were represented as mean+/−SEM. All measurements were performed on independent samples. Independent t-test, one-way ANOVA and repeat measurement ANOVA were employed for statistical analysis, as indicated in individual figure legends. For multiple comparisons, combining ANOVA, post-hoc Tukey test was applied. Assumptions of normal data distribution and homoscedasticity were adopted in t-test and one-way ANOVA. All statistical tests were two-sided. For Fig. 1b and Extended Data Fig. 1d, the original data were transformed to logarithm with base 10 for one-way ANOVA to fulfill the requirement of homoscedasticity. To estimate the effect size, Cohen’s d for t-test and eta-squared (η2) for one-way ANOVA were calculated as previously described55,56. Statistical report for all figure panels is summarized in Supplementary Table 5.
All data generated or analyzed in this study are included in this published article (and its supplementary information files). Repeats of individual experiments are summarized in Supplementary Table 2, which has been independently verified.
The RNA seq data have been deposited in NCBI GEO under GSE142250. Independently generated data are available upon request. Methods have been converted into step-wise protocols and deposited in Nature Protocol Exchange.
Extended Data
Supplementary Material
ACKNOWLEDGEMENTS
The authors are grateful to members of the Fu lab for cooperation, reagent sharing, and insightful discussion during the course of this investigation. We thank Dr. Alysson Muotri of UCSD for a gift of human ES cell-derived neural progenitors. D.W.C. receives salary and research support from the Ludwig Institute for Cancer Research and is a Nomis Foundation Distinguished Scientist. Z.Z. and X.K. were supported by NSFC grants (31930061, 31761133016, 21790394 and 81974203). W.C.M. and X-D.F. were supported by a grant from the Larry Hillblom Foundation (2019-A-006-NET). This work was supported by NIH grants (GM049369 and GM052872) to X-D.F.
Footnotes
DATA AND CODE AVAILABILITY
RNA seq data have been deposited in NCBI GEO under GSE142250. Independently generated data are available upon request. Methods have been converted into step-wise protocols deposited in Nature Protocol Exchange.
COMPETING INTERESTS
X-D. Fu is a founder of CurePharmacutics Inc.
PATENT
The University of California, San Diego has filed a patent under SD2020–152 on neuronal reprogramming induced by inactivating PTB by any means for treatment of neurological disorders.
REFERENCES
- 1.Poewe W et al. Parkinson disease. Nat Rev Dis Primers 3, 17013, doi: 10.1038/nrdp.2017.13 (2017). [DOI] [PubMed] [Google Scholar]
- 2.Barker RA, Gotz M & Parmar M New approaches for brain repair-from rescue to reprogramming. Nature 557, 329–334, doi: 10.1038/s41586-018-0087-1 (2018). [DOI] [PubMed] [Google Scholar]
- 3.Sonntag KC et al. Pluripotent stem cell-based therapy for Parkinson’s disease: Current status and future prospects. Prog Neurobiol 168, 1–20, doi: 10.1016/j.pneurobio.2018.04.005 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cohen DE & Melton D Turning straw into gold: directing cell fate for regenerative medicine. Nature Reviews Genetics 12, 243–252 (2011). [DOI] [PubMed] [Google Scholar]
- 5.Yu X, Nagai J & Khakh BS Improved tools to study astrocytes. Nat Rev Neurosci 21, 121–138, doi: 10.1038/s41583-020-0264-8 (2020). [DOI] [PubMed] [Google Scholar]
- 6.Rivetti di Val Cervo P et al. Induction of functional dopamine neurons from human astrocytes in vitro and mouse astrocytes in a Parkinson’s disease model. Nat Biotechnol 35, 444–452, doi: 10.1038/nbt.3835 (2017). [DOI] [PubMed] [Google Scholar]
- 7.Wu Z et al. Gene therapy conversion of striatal astrocytes into GABAergic neurons in mouse models of Huntington’s disease. Nat Commun 11, 1105, doi: 10.1038/s41467-020-14855-3 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Gascon S, Masserdotti G, Russo GL & Gotz M Direct Neuronal Reprogramming: Achievements, Hurdles, and New Roads to Success. Cell Stem Cell 21, 18–34, doi: 10.1016/j.stem.2017.06.011 (2017). [DOI] [PubMed] [Google Scholar]
- 9.Xue Y et al. Direct conversion of fibroblasts to neurons by reprogramming PTB-regulated microRNA circuits. Cell 152, 82–96, doi: 10.1016/j.cell.2012.11.045 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Xue Y et al. Sequential regulatory loops as key gatekeepers for neuronal reprogramming in human cells. Nat Neurosci 19, 807–815, doi: 10.1038/nn.4297 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hu J, Qian H, Xue Y & Fu XD PTB/nPTB: master regulators of neuronal fate in mammals. Biophys Rep 4, 204–214, doi: 10.1007/s41048-018-0066-y (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bennett CF, Krainer AR & Cleveland DW Antisense Oligonucleotide Therapies for Neurodegenerative Diseases. Annu Rev Neurosci 42, 385–406, doi: 10.1146/annurev-neuro-070918-050501 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Guo Z et al. In vivo direct reprogramming of reactive glial cells into functional neurons after brain injury and in an Alzheimer’s disease model. Cell stem cell 14, 188–202 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lu T et al. REST and stress resistance in ageing and Alzheimer’s disease. Nature 507, 448–454, doi: 10.1038/nature13163 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Li Q et al. The splicing regulator PTBP2 controls a program of embryonic splicing required for neuronal maturation. Elife 3, e01201 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Laywell ED, Rakic P, Kukekov VG, Holland EC & Steindler DA Identification of a multipotent astrocytic stem cell in the immature and adult mouse brain. Proceedings of the National Academy of Sciences 97, 13883–13888 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Sofroniew MV Transgenic techniques for cell ablation or molecular deletion to investigate functions of astrocytes and other GFAP-expressing cell types. Astrocytes: Methods and Protocols, 531–544 (2012). [DOI] [PubMed] [Google Scholar]
- 18.Tateno T & Robinson HP The mechanism of ethanol action on midbrain dopaminergic neuron firing: a dynamic-clamp study of the role of I(h) and GABAergic synaptic integration. J Neurophysiol 106, 1901–1922, doi: 10.1152/jn.00162.2011 (2011). [DOI] [PubMed] [Google Scholar]
- 19.Kimm T, Khaliq ZM & Bean BP Differential Regulation of Action Potential Shape and Burst-Frequency Firing by BK and Kv2 Channels in Substantia Nigra Dopaminergic Neurons. J Neurosci 35, 16404–16417, doi: 10.1523/JNEUROSCI.5291-14.2015 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Boisvert MM, Erikson GA, Shokhirev MN & Allen NJ The aging astrocyte transcriptome from multiple regions of the mouse brain. Cell Reports 22, 269–285 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Nott A et al. Brain cell type-specific enhancer-promoter interactome maps and disease-risk association. Science 366, 1134–1139, doi: 10.1126/science.aay0793 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Grealish S et al. Human ESC-derived dopamine neurons show similar preclinical efficacy and potency to fetal neurons when grafted in a rat model of Parkinson’s disease. Cell Stem Cell 15, 653–665, doi: 10.1016/j.stem.2014.09.017 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Grealish S et al. Human ESC-derived dopamine neurons show similar preclinical efficacy and potency to fetal neurons when grafted in a rat model of Parkinson’s disease. Cell stem cell 15, 653–665 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Thiele SL, Warre R & Nash JE Development of a unilaterally-lesioned 6-OHDA mouse model of Parkinson’s disease. Journal of visualized experiments: JoVE 60, 3234 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Beal MF Parkinson’s disease: a model dilemma. Nature 466, S8–S10 (2010). [DOI] [PubMed] [Google Scholar]
- 26.Stott SR & Barker RA Time course of dopamine neuron loss and glial response in the 6‐OHDA striatal mouse model of P arkinson’s disease. European Journal of Neuroscience 39, 1042–1056 (2014). [DOI] [PubMed] [Google Scholar]
- 27.Boix J, Padel T & Paul G A partial lesion model of Parkinson’s disease in mice--characterization of a 6-OHDA-induced medial forebrain bundle lesion. Behav Brain Res 284, 196–206, doi: 10.1016/j.bbr.2015.01.053 (2015). [DOI] [PubMed] [Google Scholar]
- 28.Zhu H & Roth BL DREADD: a chemogenetic GPCR signaling platform. Int J Neuropsychopharmacol 18, doi: 10.1093/ijnp/pyu007 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Armbruster BN, Li X, Pausch MH, Herlitze S & Roth BL Evolving the lock to fit the key to create a family of G protein-coupled receptors potently activated by an inert ligand. Proceedings of the National Academy of Sciences 104, 5163–5168, doi: 10.1073/pnas.0700293104 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Chen Y et al. Chemical Control of Grafted Human PSC-Derived Neurons in a Mouse Model of Parkinson’s Disease. Cell Stem Cell 18, 817–826 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ouyang H et al. WNT7A and PAX6 define corneal epithelium homeostasis and pathogenesis. Nature 511, 358 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Martin M Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. journal 17, 10–12 (2011). [Google Scholar]
- 33.Srivastava A, Malik L, Smith T, Sudbery I & Patro R Alevin efficiently estimates accurate gene abundances from dscRNA-seq data. Genome biology 20, 65 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Love MI, Huber W & Anders S Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome biology 15, 550 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Abercrombie M Estimation of nuclear population from microtome sections. The anatomical record 94, 239–247 (1946). [DOI] [PubMed] [Google Scholar]
- 36.Falk T et al. Vascular endothelial growth factor-B is neuroprotective in an in vivo rat model of Parkinson’s disease. Neuroscience Letters 496, 43–47 (2011). [DOI] [PubMed] [Google Scholar]
- 37.Baker H, Joh TH & Reis DJ Genetic control of number of midbrain dopaminergic neurons in inbred strains of mice: relationship to size and neuronal density of the striatum. Proceedings of the National Academy of Sciences 77, 4369–4373 (1980). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Grealish S et al. Human ESC-derived dopamine neurons show similar preclinical efficacy and potency to fetal neurons when grafted in a rat model of Parkinson’s disease. Cell Stem Cell 15, 653–665 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kordower JH et al. Neurodegeneration prevented by lentiviral vector delivery of GDNF in primate models of Parkinson’s disease. Science 290, 767–773 (2000). [DOI] [PubMed] [Google Scholar]
- 40.Bahat-Stroomza M et al. Induction of adult human bone marrow mesenchymal stromal cells into functional astrocyte-like cells: potential for restorative treatment in Parkinson’s disease. Journal of Molecular Neuroscience 39, 199–210 (2009). [DOI] [PubMed] [Google Scholar]
- 41.Liu G, Chen J & Ma Y Simultaneous determination of catecholamines and polyamines in PC-12 cell extracts by micellar electrokinetic capillary chromatography with ultraviolet absorbance detection. Journal of Chromatography B 805, 281–288 (2004). [DOI] [PubMed] [Google Scholar]
- 42.De Benedetto GE et al. A rapid and simple method for the determination of 3, 4-dihydroxyphenylacetic acid, norepinephrine, dopamine, and serotonin in mouse brain homogenate by HPLC with fluorimetric detection. Journal of pharmaceutical and biomedical analysis 98, 266–270 (2014). [DOI] [PubMed] [Google Scholar]
- 43.Tareke E, Bowyer JF & Doerge DR Quantification of rat brain neurotransmitters and metabolites using liquid chromatography/electrospray tandem mass spectrometry and comparison with liquid chromatography/electrochemical detection. Rapid Communications in Mass Spectrometry: An International Journal Devoted to the Rapid Dissemination of Up‐to‐the‐Minute Research in Mass Spectrometry 21, 3898–3904 (2007). [DOI] [PubMed] [Google Scholar]
- 44.Wang SR et al. Role of vesicle pools in action potential pattern-dependent dopamine overflow in rat striatum in vivo. J Neurochem 119, 342–353, doi: 10.1111/j.1471-4159.2011.07440.x (2011). [DOI] [PubMed] [Google Scholar]
- 45.Xu H et al. Striatal dopamine release in a schizophrenia mouse model measured by electrochemical amperometry in vivo. Analyst 140, 3840–3845, doi: 10.1039/c4an02074j (2015). [DOI] [PubMed] [Google Scholar]
- 46.Wang C et al. Synaptotagmin-11 is a critical mediator of parkin-linked neurotoxicity and Parkinson’s disease-like pathology. Nature communications 9, 81, doi: 10.1038/s41467-017-02593-y (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Wang L et al. Modulation of dopamine release in the striatum by physiologically relevant levels of nicotine. Nature communications 5, 3925, doi: 10.1038/ncomms4925 (2014). [DOI] [PubMed] [Google Scholar]
- 48.Caiazzo M et al. Direct generation of functional dopaminergic neurons from mouse and human fibroblasts. Nature 476, 224–227 (2011). [DOI] [PubMed] [Google Scholar]
- 49.Grealish S, Mattsson B, Draxler P & Björklund A Characterisation of behavioural and neurodegenerative changes induced by intranigral 6‐hydroxydopamine lesions in a mouse model of Parkinson’s disease. European Journal of Neuroscience 31, 2266–2278 (2010). [DOI] [PubMed] [Google Scholar]
- 50.Piallat B, Benazzouz A & Benabid AL Subthalamic nucleus lesion in rats prevents dopaminergic nigral neuron degeneration after striatal 6‐OHDA injection: behavioural and immunohistochemical studies. European Journal of Neuroscience 8, 1408–1414 (1996). [DOI] [PubMed] [Google Scholar]
- 51.Dunnett SB, Bjo A, Stenevi U & Iversen SD Behavioural recovery following transplantation of substantia nigra in rats subjected to 6-OHDA lesions of the nigrostriatal pathway. I. Unilateral lesions. Brain research 215, 147–161 (1981). [DOI] [PubMed] [Google Scholar]
- 52.Iancu R, Mohapel P, Brundin P & Paul G Behavioral characterization of a unilateral 6-OHDA-lesion model of Parkinson’s disease in mice. Behavioural Brain Research 162, 1–10 (2005). [DOI] [PubMed] [Google Scholar]
- 53.Boix J, Padel T & Paul G A partial lesion model of Parkinson’s disease in mice–Characterization of a 6-OHDA-induced medial forebrain bundle lesion. Behavioural Brain Research 284, 196–206 (2015). [DOI] [PubMed] [Google Scholar]
- 54.Chen Y et al. Chemical Control of Grafted Human PSC-Derived Neurons in a Mouse Model of Parkinson’s Disease. Cell Stem Cell 18, 817–826 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Cohen J Statistical power analysis for the behavioral sciences Report No. 0805802835, 66–67 (New York, 1988). [Google Scholar]
- 56.Cohen J Eta-squared and partial eta-squared in fixed factor ANOVA designs. Educational and psychological measurement 33, 107–112 (1973). [Google Scholar]
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