Abstract
Electron microscopy (EM) is a powerful tool for circuit mapping, but identifying specific cell types in EM datasets remains a major challenge. Here we describe a technique enabling simultaneous visualization of multiple, genetically identified neuronal populations so that synaptic interactions between them can be unequivocally defined. We present 15 AAV constructs and six mouse reporter lines for multiplexed EM labeling in the mammalian nervous system. These reporters feature dAPEX2, which exhibits dramatically improved signal compared to previously described ascorbate peroxidases. By targeting this enhanced peroxidase to different subcellular compartments, multiple orthogonal reporters can be simultaneously visualized and distinguished under EM using a protocol compatible with existing EM pipelines. Proof-of-principle double and triple EM labeling experiments demonstrated synaptic connections between primary afferents, descending cortical inputs, and inhibitory interneurons in the spinal cord dorsal horn. Our multiplexed peroxidase-based EM labeling system should therefore greatly facilitate analysis of connectivity in the nervous system.
Introduction
Precise patterns of synaptic connectivity are central to nervous system function, and thus a major ongoing effort of neuroscience research is defining detailed maps of synaptic interactions throughout the nervous system. Currently, the main strategies for visualizing synaptic connectivity rely on light microscopy (LM) and electron microscopy (EM). With advances in molecular genetic approaches, specific neurons and their synapses can be genetically labeled for visualization using both microscopic approaches. However, while multiplexed labeling strategies are readily implemented in LM, a practical system for multiplexed labeling in EM is not available. Thus, it has not been possible to fully combine the power of molecular genetics with EM, which could greatly facilitate efforts towards defining patterns of synaptic connectivity in the nervous system.
Several LM techniques have been developed to investigate synaptic connections between different neuronal populations. With fluorescence microscopy, spectrally separated fluorescent proteins can be localized to pre- or postsynaptic structures to identify synaptic partners1, 2, and more complex approaches such as GRASP, where signals are only detected at synapses with both pre- and postsynaptic partners expressing specific marker proteins, have also been developed3, 4. However, the resolution of LM is limited by diffraction, and the sizes of synaptic structures are typically below the LM resolution limit. Recently, super-resolution microscopy5 and expansion microscopy6 have been used to address this problem, however achieving the resolution necessary for visualizing fine neurites and synaptic structures is not always possible. Furthermore, fluorescence-based LM methods selectively label particular proteins; surrounding, unlabeled neuropil and intracellular compartments are not visible. Thus, many important contextual details relevant to neuronal circuitry are discarded.
EM remains the only unbiased method for comprehensively resolving the different components of synapses and structurally identifying synaptic partners. Recent advances in EM sectioning and imaging methods have made large-scale reconstructions and connectomics possible, leading to the generation of comprehensive maps of synaptic connectivity7–10. Despite these major advances, EM-derived connectome data can be difficult to place into a functional context because the molecular and physiological identities of pre- and postsynaptic partners generally cannot be determined. Long-range projection neurons whose axons can span nearly the entire body suffer particularly from this issue as they are particularly difficult to trace across many sections. For EM visualization, approaches using genetically expressed peroxidases and miniSOG afford a powerful strategy to label defined neuronal populations, including projection neurons, providing identity information for one of the two synaptic partners11–16. A greater challenge, however, is to simultaneously label multiple defined neuronal populations for EM analysis, which is necessary to establish the identities of pre- and postsynaptic partners as well as the convergence of multiple synapses onto common targets. Unlike fluorescence microscopy, commonly used EM imaging techniques do not permit multiplexed labeling by spectral separation. In single sections, this issue could be addressed with immuno-EM or energy-filtered transmission EM (EFTEM) with spectral resolution17; in volumes created from serial images, this could be addressed with correlated light and electron microscopy (CLEM) using multiple fluorescence channels, and recent advances allow high-accuracy tracking of single axons18 and immunostaining with ultrastructural preservation19. However, a technique that works well with both single sections and volumes that is versatile and simple to implement is still lacking.
To circumvent this technical challenge, we have developed tools for double, triple and higher order EM labeling by targeting peroxidase reporters to distinct cellular compartments. A previous report using double peroxidase labeling in Drosophila successfully enabled simultaneous visualization of two labeled cell types, however synaptic ultrastructure could not be visualized in this previous report and therefore synapse identification was not possible20. The multiplexed EM labeling strategy reported here works exceptionally well with conventional EM pipelines with minimal modification, and provides simultaneous, unequivocal identification of pre- and postsynaptic neurons in EM volumes. We report the generation of a multiplexed EM labeling toolkit comprised of single Cre-recombinase-dependent, Flp-recombinase-dependent, and Cre-and-Flp-dual-recombinase-dependent mouse lines, as well as an array of adeno-associated virus (AAV) vectors that allow versatile multiplexed EM labeling. This multiplexed EM labeling toolkit should facilitate efforts to define patterns of synaptic connectivity throughout the mammalian nervous system.
Results
Optimization of a peroxidase for EM labeling in the mammalian nervous system
To explore the suitability of peroxidases for multiplexed EM labeling of neurons in mice, we began by testing previously described peroxidase reporter constructs (Supplementary Table 1). We first focused on defining ultrastructural features and synaptic partners of primary somatosensory neurons, whose cell bodies reside in dorsal root ganglia (DRG) and axonal projections extend peripherally into the skin and internal organs, and centrally into the spinal cord and brainstem. DRG neurons could be efficiently transduced (>90%) by neonatal AAV9 intraperitoneal (IP) injection, with small-diameter DRG neurons generally expressing AAV-delivered transgenes at higher levels than large-diameter neurons21 (Supplementary Fig. 1). A small number of spinal cord and cortical neurons were also transduced (data not shown). While two previously described plasma membrane-targeted horseradish peroxidase (HRP) constructs, HRP-TM22 and mHRP12, labeled the membranes of transduced HEK293T cells (HRP-TM shown in Supplementary Fig. 2a, b), neither resulted in detectable staining of DRG axonal projections within the spinal cord following AAV9 delivery via IP injection (data not shown). Moreover, injections of the same constructs with the AAV1 capsid into the neocortex resulted in expression levels detectable by LM (Supplementary Fig. 2c), but surprisingly failed to yield detectable labeling by EM (Supplementary Fig. 2d). We speculate that the discrepancy occurred because the LM signal reflects the summation of staining throughout a thick vibratome section, but the staining was too diffuse to be visualized in EM of a single ultrathin section. A plasma membrane-targeted HRP construct, HRP-DsRed-GPI20, 23, which worked well in Drosophila neurons, failed to traffic to the plasma membrane of cells in mouse cortex (data not shown). A construct targeting synaptic vesicles, VAMP2-HRP11, which could be visualized in mouse hypothalamic neurons, labeled only one or two vesicles per terminal under the fixation and sample preparation conditions used in conventional EM pipelines. We also tested constructs expressing APEX2, an enhanced soybean ascorbate peroxidase (APX) that is less catalytically active than HRP, but is functional when expressed in cytosolic environments, unlike HRP24. After transduction of neonatal DRG neurons by IP injection of AAV9 containing a mitochondrial-matrix-targeted APEX2 construct, mito-V5-APEX225, transverse spinal cord sections were stained for peroxidase activity. Axons of small-diameter neurons, which terminate in superficial laminae of the spinal cord dorsal horn, were strongly labeled (Fig. 1a, black arrow), but axons of large-diameter neurons, which terminate in deeper laminae, exhibited low or undetectable labeling. The poor labeling of DRG axon terminals in the deep dorsal horn was not due to lack of transduction or failure of mito-V5-APEX2 expression in large-diameter DRG neurons, as mitochondrial labeling of both large- and small-diameter neuronal somata in the DRG was observed (data not shown). One possible explanation for the lack of deep dorsal horn staining is the relatively lower expression levels in the large-diameter neurons. Taken together, these results indicate that the performance of existing peroxidase constructs is strongly influenced by differences in the systems used for testing, including cell type, species of origin of those cells and sample preparation methods. Therefore, we attempted to optimize reporters and labeling conditions to visualize long-range axon projections for ultrastructural synaptic analyses in mice.
In the process of creating APEX2 from APX, two residues (K14 and E112) at the dimeric interface were mutated to increase monomericity, thereby avoiding the concern that incorporation of a dimerizing peroxidase into a fusion protein could potentially induce mislocalization or alter function in an unexpected way24, 26. However, the mutations also decreased signal levels in tissue culture cells, possibly from lowered heme affinity and thermal stability24, 26. We reasoned that dimerization of APEX2 should not be problematic to achieve our goal of directing peroxidase reporters to different subcellular compartments. Thus, we introduced the native residues to the dimeric interface of APEX2, presumably enhancing heme affinity and thermal stability, and designated the resultant protein dAPEX2, for dimeric APEX2, although dimerization was not directly tested. Matrix-dAPEX2, which has the same sequence as mito-V5-APEX2 except for the replacement of APEX2 with dAPEX2, was packaged into AAV9 and used for IP injection to test its activity. We found that Matrix-dAPEX2 exhibits substantially increased staining intensity (Fig. 1b) compared to mito-V5-APEX2 (Fig. 1a). The dorsal horn was intensely and evenly stained along the dorsoventral axis with Matrix-dAPEX2, mirroring the efficiency of DRG somata labeling. Axons containing labeled mitochondria (Fig. 1c, red arrows) in the dorsal horn could be clearly visualized in EM and easily distinguished from those containing unlabeled mitochondria (Fig. 1c, blue arrows). We also systematically investigated peroxidase reaction conditions and sample preparation strategies to determine optimal procedures for detecting the dAPEX2 catalyzed reaction product by EM (see Methods and Supplementary Fig. 3–5). These simple, optimized conditions do not require detergent extraction of the sample and include concentrations of glutaraldehyde appropriate for excellent specimen preservation, allowing dAPEX2 to be used for investigating the ultrastructural properties of labeled neurons and their long-range projections.
Mitochondria are ideal for EM labeling in neurons because they are abundant in somata, dendrites, axons and axon terminals. In addition, ultrastructural details of mitochondrial-labeled cells are more clearly visualized than those of cells labeled with a cytosolic reporter, because the spread of the peroxidase reaction product is limited by the mitochondrial membrane. This feature is crucial when ultrastructural details such as cytosolic electron density and synaptic vesicle morphology are of interest. To test the utility of EM labeling of long-range projection neurons using Matrix-dAPEX2, we performed cortical injections of a Cre-dependent AAV1-DIO-Matrix-dAPEX2 into the Tg(Rbp4-Cre)KL100 mouse line, which restricts expression to cortical layer 5 pyramidal tract and inter-telencephalic corticofugal neurons27. Robust labeling was observed in the cell body (Fig. 1d, left panel), dendrites (Fig. 1d, middle panel) and corticospinal terminals in the dorsal horn of the cervical spinal cord (Fig. 1d, right panel). We also applied Matrix-dAPEX2 labeling to a previously intractable problem: defining the ultrastructural properties of physiologically distinct populations of small-diameter, unmyelinated primary somatosensory neuronal axons, also known as C-fibers. These small-diameter neurons include nociceptors, thermoceptors, pruriceptors, and a subset of low-threshold mechanoreceptors (LTMRs)28. Peripheral terminals of these subtypes are morphologically distinct28 but no structural difference in their central terminations have been described. Due to the fine caliber of C-fibers, adequate filling of these small-diameter neurons with HRP through recording pipettes to visualize their axonal projections to the spinal cord or periphery has proven to be a major challenge29, 30. To label select populations of C-fibers, Cre-dependent AAV9-DIO-Matrix-dAPEX2 was injected IP into ThT2A-CreER31, MrgprdCre32, and Mrgprb4Cre33 mouse lines, which express CreER or Cre recombinase in three physiologically distinct nonpeptidergic C-fiber subtypes: C-LTMRs, Mrgprd+ polymodal nociceptors, and Mrgprb4+ afferents implicated in tactile sensation, respectively. This strategy allowed robust labeling of these different C-fiber populations, as indicated by LM (Fig. 1e, g, i) and EM (Fig. 1f, h, j) peroxidase labeling patterns. EM analysis in the spinal cord showed that each of the three classes of primary sensory neurons often forms synapses onto multiple postsynaptic dendrites (Fig. 1f, h, j, arrowheads), as the labeled axons (Fig. 1f, h, j, asterisks) were observed in complexes termed synaptic glomeruli34. Moreover, the terminals of each sensory neuron class receive abundant axoaxonic connections. Because the peroxidase reporter is confined to the mitochondrial matrix, we were able to observe ultrastructural differences that distinguish the axon terminals of the three labeled sensory neuron populations, with synaptic vesicle morphology being the most apparent difference. While C-LTMRs mostly contain round, clear vesicles and lack clusters of vesicles, Mrgprd+ polymodal nociceptors and Mrgprb4+ afferents typically exhibit large, variably shaped dense-core vesicles and clusters of vesicles (Fig. 1f, h, j, green and yellow arrows). Therefore, a recombinase-dependent, mitochondrial-matrix-targeted dAPEX2 AAV construct, used in conjunction with genetic tools to selectively label neuronal subtypes, enables neuronal-subtype-specific visualization of the ultrastructural properties of axonal terminals and their synaptic arrangements by EM.
Simultaneous visualization of multiple genetically defined populations using peroxidase constructs targeted to different subcellular compartments
The finding that targeting dAPEX2 to the mitochondrial matrix can enable comparisons between the synapses of sensory neuron subtypes suggested that simultaneously targeting peroxidases to distinct subcellular compartments in two or more genetically defined neurons would allow for visualization of their synaptic relationships. To generate new peroxidase reporters targeted to distinct subcellular compartments abundant in axons and dendrites for multiplexed EM labeling, we tested dAPEX2 or HRP fused to targeting motifs for the plasma membrane, microtubules, mitochondrial intermembrane space (IMS), peroxisomes, synaptic vesicles (SV), and endoplasmic reticulum (ER) (Supplementary Table 1). These peroxidase constructs were tested in HEK293T cells and in mice by IP or cortical AAV injections (Supplementary Table 1). This testing yielded four additional constructs useful for multiplexed EM labeling: untagged, soluble dAPEX2, which labels the cytosol and nucleus (Fig. 2a), ER-dAPEX2, which includes an N-terminal Igκ signal sequence and a C-terminal KDEL ER retention sequence and labels the ER (Fig. 2b), IMS-dAPEX2, which contains the localization signal from LACTB and labels the mitochondrial IMS (Fig. 2c), and SV-HRP, a fusion protein of synaptophysin and HRP, which labels the lumen of synaptic vesicles (Fig. 2d). EM signals from dAPEX2, Matrix-dAPEX2, ER-dAPEX2, and IMS-dAPEX2 could be readily observed in neuronal somata, dendrites, and short axons, while SV-HRP could be observed only in axon terminals (in all figures, red arrows indicate labeled structures and blue arrows indicate unlabeled equivalents). Signals from dAPEX2, Matrix-dAPEX2, IMS-dAPEX2 and SV-HRP, but very little from ER-dAPEX2 (data not shown), were also observed in terminals of long-range axonal projections, which in mice can reach several centimeters in length (Fig. 2). In addition to neurons in the cerebral cortex, spinal cord and DRG shown here, some of these constructs were also shown to effectively label neurons in the cerebellum (Laurens Witter, Chong Guo, Wade Regehr, unpublished data) and the hippocampus (Ee-Lynn Yap, Michael Greenberg, unpublished data). It is noteworthy that in any given plasma-membrane-enclosed profile, all mitochondria are either labeled or unlabeled (100.0 ± 0.0%, mean ± SD, n = 30 profiles for both Matrix-dAPEX2 and IMS-dAPEX2), implying that the penetrance for matrix and IMS labeling in transduced cells is 100%, which is useful for registering profiles across different sections. The same is likely true for cytosolic and ER labeling because the cytosol and ER are largely continuous compartments where dAPEX2 can freely diffuse. SV-HRP labeled vesicles constituted 19.6 ± 12.4% (mean ± SD, n = 30 profiles) of the total synaptic vesicles in labeled presynaptic profiles. Expression of these constructs did not lead to increased mortality, or gross behavioral, anatomical or cytological abnormalities, with the exception of IMS-dAPEX2, which induced mitochondrial aggregation when expressed at very high levels but not at the levels employed in this study (see Supplementary Table 1). Therefore, these five orthogonal dAPEX2 and HRP constructs are excellent candidates for further development of a multiplexed EM labeling system for mice.
To simultaneously label multiple genetically defined neuronal populations for synapse analysis, we used orthogonal expression systems. Currently, Cre, Flp and Dre recombinases, as well as transcription factors such as tTA/rtTA are used for directed expression of reporter genes in mice, with Cre and Flp recombinases being most widely used. Specific neuronal populations can also be targeted anatomically using AAV injections or by taking advantage of the different tropisms of AAV capsids35. Therefore, we constructed constitutively expressed as well as Cre- and Flp-recombinase-dependent AAV vectors for dAPEX2, Matrix-dAPEX2, ER-dAPEX2, IMS-dAPEX2, and SV-HRP (Table 1). To address the utility of these AAV constructs for multiplexed EM labeling, we employed two different genetic strategies. For the first strategy, we crossed the Tg(Rbp4-Cre)KL100 mouse line with the PvalbT2A-FlpO line, which expresses FlpO in fast spiking cortical interneurons, including basket and chandelier cells36. We performed cortical injections of Cre-dependent AAV1-DIO-ER-dAPEX2 and Flp-dependent AAV1-FDIO-Matrix-dAPEX2 into Tg(Rbp4-Cre)KL100; PvalbT2A-FlpO neonates. Cells with ER labeling (Fig. 3a, red asterisks) and mitochondrial matrix labeling (Fig. 3a, green asterisks) were easily observed and distinguished, and since neither dAPEX2 reporter obscures ultrastructural details, identification of synapses was straightforward. EM analysis revealed Pvalb+ neuron to Rbp4+ neuron synapses that were typically perisomatic and symmetric (Fig. 3a, arrowheads), consistent with prior electrophysiological and EM studies37. For a second test, we used Slc32a1IRES-Cre mice, in which Cre is expressed in all inhibitory neurons38, and AvilFlpO mice, in which FlpO is expressed in all primary somatosensory neurons (Ling Bai, D.D.G., unpublished data). AAV9-FDIO-IMS-dAPEX2 was delivered by IP injection into Slc32a1IRES-Cre; AvilFlpO neonates followed by a dorsal horn injection of AAV1-DIO-Matrix-dAPEX2 at P11-P12. This resulted in robust labeling of dorsal horn inhibitory interneurons, identified by peroxidase staining of their mitochondrial matrix (Fig. 3b, red asterisks), and somatosensory neuron terminals, identified by staining of their mitochondrial IMS (Fig. 3b, green asterisks). In this case, axodendritic synapses from primary afferents onto dorsal horn inhibitory interneurons and axoaxonic synapses from inhibitory interneurons onto primary afferents were readily seen (Fig. 3b, arrowheads). The latter type of synapse is believed to underlie presynaptic inhibition, an important mechanism for central control of somatosensory input39.
Table 1.
AAV Construct | Recombinase Control | Addgene Plasmid # |
---|---|---|
pAAV-dAPEX2 | None (constitutive) | 117173 |
pAAV-DIO-dAPEX2 | Cre-dependent | 117174 |
pAAV-FDIO-dAPEX2 | Flp-dependent | 117175 |
pAAV-Matrix-dAPEX2 | None (constitutive) | 117176 |
pAAV-DIO-Matrix-dAPEX2 | Cre-dependent | 117177 |
pAAV-FDIO-Matrix-dAPEX2 | Flp-dependent | 117178 |
pAAV-IMS-dAPEX2 | None (constitutive) | 117179 |
pAAV-DIO-IMS-dAPEX2 | Cre-dependent | 117180 |
pAAV-FDIO-IMS-dAPEX2 | Flp-dependent | 117181 |
pAAV-ER-dAPEX2 | None (constitutive) | 117182 |
pAAV-DIO-ER-dAPEX2 | Cre-dependent | 117183 |
pAAV-FDIO-ER-dAPEX2 | Flp-dependent | 117184 |
pAAV-SV-HRP | None (constitutive) | 117185 |
pAAV-DIO-SV-HRP | Cre-dependent | 117186 |
pAAV-FDIO-SV-HRP | Flp-dependent | 117187 |
To address the feasibility of simultaneously labeling three neuronal populations, we used Slc32a1IRES-Cre; AvilFlpO mice, and injected AAV9-FDIO-IMS-dAPEX2 IP to label primary afferents, AAV1-DIO-ER-dAPEX2 into the dorsal horn to label spinal cord inhibitory interneurons, and AAV1-Matrix-dAPEX2 into the cortex to label descending corticospinal neurons. Each of the three labeled structures, ER (Fig. 3c, red asterisks), mitochondrial IMS (Fig. 3c, green asterisks), and mitochondrial matrix (Fig. 3c, blue asterisks), respectively, were clearly visualized and distinguished from the other two structures in the spinal cord dorsal horn by EM. Consistent with previous reports34, 40, primary afferents (green asterisks) often form glomerular synapses, while corticospinal axons (blue asterisks) mainly form simple synaptic interactions. In addition, inhibitory interneurons (red asterisks) represent a large fraction of all postsynaptic partners for both types of long-range inputs into the dorsal horn.
In order to investigate whether these reporters can be used for multiple labeling in volume EM, we serially sectioned one of the spinal cord dorsal horn samples used for Fig. 3b, and imaged a volume of 35 × 24 × 2 μm. These two labels could be readily seen throughout the volume and did not cause any issue in montaging or alignment. We used this volume to reconstruct a primary afferent (green) and two inhibitory interneuron profiles (axon in light red and dendrite in dark red) where synaptic interactions were seen (Fig. 4a, b and Supplementary Video 1 and 2). We also determined the discriminability of the two mitochondrial labels using this image volume. Two annotators independently categorized all the mitochondria as either matrix-labeled, IMS-labeled, or unlabeled in a volume of 12 × 8 × 2 μm, and then the annotations were compared. Of the 325 mitochondria annotated, 319 had matching annotations (98.2%), and only six mitochondria had mismatching annotations (1.8%) (Fig. 4c). Of the six mismatching annotations, one was a matrix-labeled vs. IMS-labeled mismatch, one was a matrix-labeled vs. unlabeled mismatch, and four were IMS-labeled vs. unlabeled mismatches. Three of the IMS-labeled vs. unlabeled mismatches resulted from human error during annotation. This indicates that the two mitochondrial labels are readily distinguishable from each other. Because the three other orthogonal labels are targeted to different organelles, they are even more easily distinguished from each other and the two mitochondrial labels, and the few mismatches for the volume annotated here for mitochondrial matrix vs. mitochondrial IMS thus likely represents a worst-case scenario.
Therefore, labeling with orthogonal EM reporters provides a versatile approach to investigate complex synaptic interactions in both single sections and volumes. In all, the fifteen AAV peroxidase reporter constructs (Table 1), used with orthogonal recombinase-dependent expression systems and anatomically defined injections, allow simultaneous double, triple, and possibly higher order EM labeling to visualize and define synaptic arrangements in complex neuropils.
Generation and characterization of mouse lines encoding orthogonal EM reporters
To complement the use of the AAV peroxidase reporter constructs and increase the versatility of the multiplexed peroxidase EM labeling strategy, we next generated mouse lines that conditionally express two of the dAPEX2 reporters. These mouse reporter lines can be used in conjunction with the AAV peroxidase reporter vectors for multiplexed EM labeling, and for many applications will be preferable to AAV vectors. For example, mouse reporter lines may be superior if: 1) AAVs lead to variable levels of expression due to variability of transduction; 2) recombinases must be expressed during embryonic development to successfully label a particular neuronal type; or 3) complex surgeries are required to inject AAVs into target regions, which may be technically challenging or result in tissue damage. Thus, mouse lines that conditionally express dAPEX2 reporters in defined neuronal subtypes should enable a diverse range of single or multiplexed EM labeling applications.
We first generated Cre- and Flp-dual-recombinase-dependent reporter lines for both Matrix-dAPEX2 and ER-dAPEX2 (Fig. 5a). The targeting strategy employed a dual-recombinase-dependent expression cassette with an artificial CAG promoter36 preceding the dAPEX2 reporters knocked into the Gt(ROSA)26Sor (ROSA26) locus for ubiquitous tissue expression. The frt-STOP-frt and loxP-STOP-loxP cassettes enable Flp- and Cre-dependent expression, respectively36. Mice carrying these knock-in alleles, termed ROSA26DR-Matrix-dAPEX2 and ROSA26DR-ER-dAPEX2, were generated and tested for recombinase-dependent reporter expression by cortical injection of AAV1-Cre, AAV1-FlpO, or a mixture of both. AAV1-tdTomato was co-injected to mark the injection site and evaluate viral transduction. We found no peroxidase activity from dAPEX2 in the cortex of mice injected with AAVs lacking recombinases, AAV1-Cre alone, or AAV1-FlpO alone (Fig. 5b, c, left three panels), demonstrating tight control of reporter expression by each of the STOP cassettes. On the other hand, co-injection of AAV1-Cre and AAV1-FlpO resulted in strong peroxidase activity from dAPEX2 in the brains of ROSA26DR-Matrix-dAPEX2 and ROSA26DR-ER-dAPEX2 mice (Fig. 5b, c, rightmost panel), demonstrating high recombinase-dependent dAPEX2 expression from both reporter lines. Subsequently, single-recombinase-dependent reporter lines were generated by germline deletion of the appropriate STOP cassettes (Table 2). To determine whether dAPEX2 peroxidase levels in these mouse lines are sufficient for EM identification of labeled neurons, we prepared dual AAV-transduced cortical samples for EM analysis. Ultrathin sections revealed easily identifiable, correctly localized staining in both ROSA26DR-Matrix-dAPEX2 (Fig. 5d) and ROSA26DR-ER-dAPEX2 (Fig. 5e) mice.
Table 2.
Mouse Line | Recombinase Control | JAX Stock # |
---|---|---|
ROSA26DR-Matrix-dAPEX2 | Cre-and-Flp-dual-dependent | 032764 |
ROSA26LSL-Matrix-dAPEX2 | Cre-dependent | 032765 |
ROSA26FSF-Matrix-dAPEX2 | Flp-dependent | 032766 |
ROSA26DR-ER-dAPEX2 | Cre-and-Flp-dual-dependent | 032767 |
ROSA26LSL-ER-dAPEX2 | Cre-dependent | 032768 |
ROSA26FSF-ER-dAPEX2 | Flp-dependent | 032769 |
Since labeling many neuronal populations and their projections requires intersectional genetic strategies, we investigated whether the ROSA26DR-Matrix-dAPEX2 line can label long-range axonal projections in a dual-recombinase-dependent manner using mouse recombinase driver lines. For this, we generated Scn10aCre; AvilFlpO; ROSA26DR-Matrix-dAPEX2 animals: Scn10aCre expresses Cre recombinase in virtually all C-fiber sensory neurons and a smaller number of medium-diameter lightly myelinated sensory neurons41, 42, and AvilFlpO expresses FlpO recombinase in all somatosensory neurons. By LM, strong staining in the superficial dorsal horn, as well as sparse labeling in the deep dorsal horn and dorsal column was observed, while no labeling of spinal cord neurons or the corticospinal tract was observed, as predicted (Fig. 6a, left panel). By EM, abundant labeled axon terminals (red asterisks) were observed in the superficial laminae of the dorsal horn (Fig. 6a, middle panel), as well as some myelinated axons and axon terminals in deeper laminae (Fig. 6a, right panel). Axon terminals of these long-range projection neurons could also be observed in the skin with LM (Fig. 6b, left panel), and labeled longitudinal lanceolate endings associated with hair follicles (Fig. 6b, middle panel) and free nerve endings (Fig. 6b, right panel) within the epidermis were seen under EM. We also tested whether C-LTMRs could be selectively labeled using this reporter line by generating ThT2A-CreER; AvilFlpO; ROSA26DR-Matrix-dAPEX2 animals. Indeed, similar staining patterns could be seen under LM as in Fig. 1e (data not shown). Additionally, labeled axonal profiles with similar ultrastructure to those shown in Fig. 1f were observed under EM (Fig. 6c). These findings demonstrate that the ROSA26DR-Matrix-dAPEX2 mouse line works well for labeling long-range projections of genetically defined neuronal populations. Finally, we generated mice harboring the Slc32a1IRES-Cre and Cre-dependent ROSA26LSL-ER-dAPEX2 alleles to label the ER in inhibitory interneurons throughout the nervous system. We observed correctly localized ER labeling in inhibitory neurons in cortex, spinal cord dorsal horn, and striatum, demonstrating the wide range of brain regions and neurons that could be visualized using this mouse line (Fig. 6d).
Discussion
Here we describe a multiplexed peroxidase-based labeling strategy for simultaneous visualization of multiple neuronal populations by EM. We also report six new dAPEX2 mouse reporter lines and 15 AAV peroxidase constructs that comprise a versatile toolkit for multiplexed labeling. These tools, which have been deposited into public repositories, can be used alone or in combination to define synaptic arrangements of complex neuropils in mammalian systems.
Historically, multiplexed labeling in EM has been a major challenge. One approach to multiplexed EM labeling is to use antibodies conjugated with different-sized gold particles for immuno-EM. While immuno-EM is valuable for providing information on protein localization, it is difficult to implement because many, if not most, epitopes are destroyed or rendered inaccessible by conventional EM specimen preparation. Furthermore, specimen preparations amenable to immuno-EM are poorly suited for preserving the ultrastructural details needed to identify pre- and postsynaptic structures. A more recent approach using EFTEM to achieve spectral separation for different stains, requires highly specialized equipment and long exposure times17, and is unlikely to be feasible for most applications including large-scale reconstructions. CLEM has also been used to identify multiple neuronal populations in tissue volumes. Newly developed algorithms have enabled improved accuracy and allowed tracking projection axons in dense neuropils with multiple channels18. However, for small profiles such as axons, a relatively large EM volume (encompassing axonal lengths of 40-50 μm) and considerable amount of reconstruction at both LM and EM levels are required for the registration algorithms to identify matching profiles. This approach is time- and labor-intensive and cannot be performed routinely like single-section EM.
Our peroxidase-based multiplexed EM labeling tools take advantage of the simple fact that peroxidase staining can be restricted to distinct cellular compartments and thus the majority of peroxidase reporters we described do not obscure ultrastructural features of cells such as synaptic vesicles, postsynaptic densities, and the cytoskeleton. These peroxidase reporters can be targeted to two, three, four or more cellular compartments, in different populations simultaneously, to address synaptic relationships between genetically defined neuronal populations. An additional key advantage of this approach is that minimal modifications to existing EM pipelines are required for implementation. Thus, in addition to single-section and serial-section transmission EM used here, multiplexed peroxidase EM labeling should also be compatible with serial block-face scanning EM, serial-section scanning EM, focused ion beam scanning EM, and X-ray microscopy14, 43.
While previously reported peroxidase constructs have been shown to work well in tissue culture and in certain organisms, our findings suggest that many of these are not optimal for the mammalian nervous system. dAPEX2, described here, is more sensitive than APEX2 and can be used in any context where dimerization is tolerated. The improvement on peroxidase activity afforded by dAPEX2 proved critical for the generation of mouse reporter lines, in part because the commonly used ROSA26-CAG cassette typically expresses transgenes at lower levels than viral transduction methods with a concomitant reduction in the level of detection of genetically encoded reporters1.
The suite of peroxidase EM reporter constructs described here is highly versatile, and may be further increased by generating Dre-dependent and tTA-dependent dAPEX2 and HRP constructs for additional orthogonal driver channels, as well as constructing ΔG-rabies for trans-synaptic tracing. One exciting prospect will be to use the AAV and mouse line EM reporters with serial-section EM to obtain large-scale volume reconstructions for connectomics. Multiplexed EM labeling will reduce costs and efforts for data collection compared to approaches where each desired population is individually labeled, one-by-one, which requires collecting multiple datasets. In addition, the high penetrance of these reporters should facilitate the reconstruction process itself by providing a strong indicator of continuity between profiles in cases where intervening EM sections are omitted or lost. It is likely that more efficient reconstruction algorithms can be developed based on peroxidase labeling. Another potentially valuable use of these peroxidase reporters is functional CLEM. Previous studies used fluorescent calcium indicators in vivo to assess functional properties of neurons and then identified their synaptic connections ultrastructurally44–46. One could envision multicolor in vivo calcium imaging of different neuronal populations, while using orthogonal peroxidase labeling to identify these neuronal populations in EM, through the use of bicistronic vectors such as Matrix-dAPEX2-IRES-jGCaMP7s and ER-dAPEX2-IRES-jRGECO1a. In all, the 15 AAV constructs and six mouse reporter lines reported here for multiplexed EM labeling in the mammalian nervous system will enable advances in synaptic connectivity mapping with unequivocal genetic identification of synaptic partners.
Methods
All experiments using animals were conducted according to United States National Institutes of Health guidelines for animal research and were approved by the Institutional Animal Care and Use Committee at Harvard Medical School. All procedures were done at room temperature unless otherwise noted.
No statistical methods were used to pre-determine sample sizes but sample sizes are similar to those reported in previous publications (ref. 11). Sample assignment was not randomized. Data collection and analysis were not performed blind to the conditions of the experiments. All materials are available upon request.
Molecular cloning
DNA fragments were synthesized as IDT gBlocks Gene Fragments and/or oligonucleotides and amplified by PCR using Q5 Hot Start (New England Biolabs), and cloned into an AAV expression vector (Addgene plasmid # 20299) using In-Fusion HD (Takara Bio) or NEBuilder HiFi (New England Biolabs), replacing the FLEX-mCherry construct originally in the vector. Descriptions of all the constructs tested are listed in Supplementary Table 1. The constructs used for multiplexed EM labeling in the study are bolded in Supplementary Table 1. All constructs were verified using Sanger sequencing and maintained in NEB Stable E. coli (New England Biolabs). Plasmids generated in this study (Table 1) were deposited to Addgene.
Cell culture and transfection
HEK293T cells were maintained in DMEM (Thermo Fisher) supplemented with 10% FBS (Thermo Fisher), and split when confluency reached ~80% with trypsin/EDTA (Thermo Fisher). Transfections were carried out using polyethylenimine (PEI, linear, MW 25K, Polysciences) with PEI:DNA ratio of 4:1 at in PBS (pH 7.4) at ~50% confluency.
AAV production
AAV productions were carried out according to a previously described protocol47. Briefly, HEK293T cells were triply transfected with an AAV genome plasmid, a Rep/Cap plasmid of the desired serotype, and the pHelper plasmid using PEI. Cells were maintained for 5 days with media collection on day 3. Culture media were concentrated using polyethylene glycol (MW 8K, MilliporeSigma), and cells were digested using Salt Active Nuclease (ArcticZymes). The AAVs were further purified from the lysates using discontinuous iodixanol (MilliporeSigma) gradients, and finally diafiltrated using Amicon Ultra (100K NMWL, Millipore) with PBS with 0.001% Pluronic F-68 (Thermo Fisher). AAV titers were determined using qPCR as DNase-I-resistant viral genomes (vg). Typical final concentrations obtained for AAV1 were ~3×1013 vg/mL, and for AAV9 were ~3×1014 vg/mL.
Viral injections
For all injections Fast Green FCF dye (MilliporeSigma) was included to aid visualization.
For IP AAV9 injections, ~1×1012 vg was delivered through glass pipettes into P0-P1 animals after the animals were anesthetized with ice.
For all parenchymal AAV1 injections, viruses were diluted to final concentrations of 3×1012-1×1013 vg/mL each before injection. 3-4 injections were made on different sites and 50-100 nL was injected at each site. For non-stereotactic cortical AAV1 injections, P1-P3 animals were anesthetized with ice, and viruses were injected into the cortex using glass pipettes directly through the skulls. For stereotactic cortical AAV1 injections, P21 animals were anesthetized with isoflurane, and viruses were injected into S1 forelimb area using glass pipettes through drilled holes in the skull. For spinal cord AAV1 injections, P12-P14 animals were anesthetized with isoflurane, and viruses were injected into the cervical spinal cord using glass pipettes directly through the meninges.
Immunohistochemistry and confocal imaging
Mice were transcardially perfused with Ames’ medium (MilliporeSigma) containing heparin (MilliporeSigma) (oxygenated with 95% O2, 5% CO2, warmed to 37 °C) to remove blood, and then 4% paraformaldehyde (Electron Microscopy Sciences) in 0.1 M PB (pH 7.4, warmed to 37 °C). Tissues were dissected out and then post-fixed in the same fixative at 4°C overnight. After washing with PBS, tissues were cryoprotected using PBS containing 30% sucrose (MilliporeSigma) at 4°C overnight. Tissues were then embedded in OCT (Sakura Finetek) and frozen with dry ice. 25 μm sections were prepared using a Leica CM3050 S cryostat, and dried on slides for 30 min. Sections were rehydrated with PBS for 3×5 min, and then blocked with PBS containing 5% Normal Goat Serum (Vector Labs) and 0.1% Triton X-100 (MilliporeSigma) (“blocking solution”) for 1 hour. Sections were then stained with primary antibodies diluted in blocking solution at 4°C overnight. Sections were washed with PBS containing 0.02% Tween-20 (MilliporeSigma) for 4×5 min, and then stained with secondary antibodies diluted in blocking solution at 4°C overnight. Sections were then washed with PBS containing 0.02% Tween 20 for 4×5 min, and mounted with Fluoromount-G (SouthernBiotech). Slides were imaged with a Zeiss LSM 700 laser scanning confocal microscope as Z-stacks. Maximum intensity projections were made, and image intensities were adjusted using Fiji/ImageJ.
Primary antibodies used were rabbit anti-DsRed polyclonal (1:500, Takara Bio, 632496) and mouse anti-NeuN, clone A60 (1:1000, Millipore, MAB377). Secondary antibodies used were goat anti-Rabbit IgG (H+L) highly cross-adsorbed, Alexa 546 (1:500, Thermo Fisher, A-11035) and goat anti-Mouse IgG1 cross-adsorbed, Alexa 488 (1:500, Thermo Fisher, A-21121). All antibodies were validated by the manufacturers.
Mice
All mice used in the study are of mixed background.
ThT2A-CreER (JAX 025614)31 was used to label C-LTMRs. MrgprdCre32 was used to label Mrgprd+ afferents. Mrgprb4Cre (JAX 021077)33 was used to label Mrgprb4+ afferents. Tg(Rbp4-Cre)KL100 (MMRRC 037128)27 was used to label layer 5 corticofugal neurons. Slc32a1IRES-Cre (JAX 028862)38 was used to label all inhibitory neurons. PvalbT2A-FlpO (JAX 022730)36 was used to label fast-spiking GABAergic cortical interneurons. AvilFlpO, which expresses FlpO recombinase in somatosensory neurons and will be described elsewhere, was used to label all somatosensory afferents. Scn10aCre41 was used to label all NaV1.8+ neurons.
Animals were sacrificed 2-3 weeks after AAV injections or tamoxifen administration, whichever came later (median P21, range P21-P35).
Tamoxifen administration
Tamoxifen (MilliporeSigma) was dissolved in ethanol (MilliporeSigma) to 10 mg/mL and then mixed with an equal volume of sunflower seed oil (MilliporeSigma). The mixture was vortexed, and ethanol was then removed under vacuum. The final solution was delivered to animals via IP injection.
Generation of mouse lines
DNA fragments were amplified by PCR using Q5 Hot Start and cloned into the targeting vector used to create the Ai65 mouse line36. In-Fusion HD or NEBuilder HiFi was used to replace the tdTomato coding sequences of the Ai65 tageting vector (Addgene plasmid # 61577) to generate ROSA26DR-Matrix-dAPEX2 and ROSA26DR-ER-dAPEX2 targeting vectors. Targeting vectors were linearized using KpnI-HF (New England Biolabs), and 129S4/SvJae ES cells (J1) were transfected for homologous recombination and selected using neomycin. ES cells harboring successful integrations were screened using long-range PCR for both 5’- and 3’-arms. Properly recombined and karyotypically normal ES cells were then injected into blastocysts to generate chimeras. Germline transmission of the targeted alleles was established to obtain F1 animals. For generation of mouse lines harboring the single-recombinase-dependent alleles, dual-recombinase-dependent ROSA26DR-Matrix-dAPEX2 and ROSA26DR-ER-dAPEX2 mouse lines were crossed to the germline deleter lines EIIa-Cre (JAX 003724)48 and Actb-Flpe (JAX 005703)49 to excise the loxP-STOP-loxP and frt-STOP-frt cassettes, respectively. Mouse lines generated in this study (Table 2) were deposited to the Jackson Laboratory.
Determination of optimal staining conditions
Given the wide range of reaction conditions reported for peroxidase staining11, 12, 14, 23, 50, we systematically determined the optimal condition for peroxidase staining with dAPEX2 expressed in mice. We tested a range of hydrogen peroxide concentrations (0.0003% to 0.03%) as well as DAB concentrations (0.1 mg/mL to 1 mg/mL) (Supplementary Fig. 3). We found that 0.003% hydrogen peroxide gave the highest staining intensity regardless of the DAB concentration. Staining intensity observed under LM is positively correlated with DAB concentration, however we found that if the DAB concentration is too high staining artifacts could occur (Supplementary Fig. 4). Therefore, we determined 0.003% hydrogen peroxide and 0.3 mg/mL DAB to be the optimal concentrations for staining. We also found that including saponin during peroxidase staining11 degraded ultrastructure (data not shown). Adding a sodium hydrosulfite reduction step as previously reported14 did not lead to any perceivable difference in EM (data not shown), and we speculate that this might be due to our use of a lower hydrogen peroxide concentration in comparison, which presumably did not oxidize the samples as much.
We noticed that when the peroxidase labeling density is extremely high, such as in the cortex after injection of large amounts of constitutive AAV1 vectors, staining penetration issues could occur. It appeared that this was due to local reactant depletion since a more sparsely labeled region in the same slice stained in the same well (e.g. the thalamus) did not have this issue. This issue was not apparent when labeling density was lower as was typical in most experiments. We recommend using thinner vibratome sections (e.g. 100 μm) when staining penetration is a concern.
We also determined the optimal EM sample preparation protocol that best preserves DAB staining while providing sufficient counterstaining for synapse analysis. The osmium-only protocol (see below for details) led to clear DAB staining but minimal contrast in membrane and synaptic density (data not shown), while the rOTO protocol yielded excellent contrast, spurious DAB staining artifacts could be seen with the Matrix-dAPEX2 construct (Supplementary Fig. 5). The rOTO protocol (see below for details) did not cause any issue with the ER-dAPEX2 construct and was successfully used in a double labeling experiment equivalent to that in Fig. 3a (Supplementary Fig. 5c), suggesting that rOTO is compatible with this technique when distinguishing the two mitochondrial constructs is not needed and heavy metal impregnation is desired. Therefore, we used a reduced osmium protocol (see below for details) which afforded a balance between the ability to distinguish DAB staining and section counterstaining contrast (Supplementary Fig. 5).
Electron microscopy
Mice were transcardially perfused with Ames’ medium containing heparin (oxygenated with 95% O2, 5% CO2, warmed to 37 °C) to remove blood, and then with a buffer containing 0.15 M sodium cacodylate (Electron Microscopy Sciences) (pH 7.4) and 0.04% CaCl2 (MilliporeSigma) (cacodylate buffer) with 2.5% glutaraldehyde (Electron Microscopy Sciences) and 2% paraformaldehyde (warmed to 37 °C). Tissues were dissected out and then post-fixed in the same fixative at 4°C overnight. Skin samples were first shaved and then the adipose layer beneath the dermis was removed. After washing tissues with cacodylate buffer, tissues were embedded in low-melting-point agarose (Thermo Fisher), and 100-200 μm sections were taken in cacodylate buffer using a Leica VT1000 S vibratome. Sections were washed 2×10 min with cacodylate buffer containing 50 mM glycine (MilliporeSigma), 1×10 min with cacodylate buffer, and then incubated in 1 mL of 3,3’-diaminobenzidine tetrahydrochloride hydrate (MilliporeSigma) (DAB; 0.3 mg/mL) in cacodylate buffer in the dark for 30 min. 10 μL of cacodylate buffer containing 0.3% H2O2 (MilliporeSigma) was then added to the DAB solution directly (final H2O2 concentration: 0.003%) to initiate the peroxidase reaction. The reaction was allowed to proceed in the dark for 1 hour, and sections were then washed with cacodylate buffer. Stained sections were then fixed with cacodylate buffer containing 3% glutaraldehyde at 4°C overnight. Sections were washed with cacodylate buffer, followed by cacodylate buffer containing 50 mM glycine, and then cacodylate buffer. For reduced osmium staining (used for all figures unless otherwise noted), sections were osmicated in cacodylate buffer containing 1% osmium tetroxide (Electron Microscopy Sciences)/1.5% potassium ferrocyanide (MilliporeSigma) for 1 hour. Sections were then washed with ddH2O, and stained in a solution containing 0.05 M sodium maleate (MilliporeSigma) (pH 5.15) and 1% uranyl acetate (Electron Microscopy Sciences) at 4°C overnight. After washing with ddH2O, sections were dehydrated with an ethanol series followed by propylene oxide (Electron Microscopy Sciences). Sections were then infiltrated with 1:1 epoxy resin mix (LX-112, Ladd Research):propylene oxide at 4°C overnight. Finally, sections were embedded in epoxy resin mix and cured at 60°C for 48-72 hours.
For osmium-only staining, sections were processed as described above up to but not including the osmication step, and then osmicated with an aqueous solution containing 1% osmium tetroxide for 30 min, and washed with ddH2O. Dehydration and embedding were done as described above.
For reduced-osmium-thiocarbohydrazide-osmium (rOTO) staining, sections were stained following a slightly modified previously reported protocol51. Sections were processed as described above up to but not including the osmication step, and osmicated with cacodylate buffer containing 2% osmium tetroxide for 1 hour, and reduced in cacodylate buffer containing 2.5% potassium ferrocyanide for 1 hour, and then washed with ddH2O. Then sections were incubated in a filtered aqueous solution containing 1% thiocarbohydrazide (Electron Microscopy Sciences) at 40°C for 15 min, and washed with ddH2O. Sections were osmicated again with an aqueous solution containing 2% osmium tetroxide for 1 hour, and washed with ddH2O. Then sections were incubated in a solution containing 0.05 M sodium maleate (pH 5.15) and 1% uranyl acetate overnight at 4°C. Sections were warmed to 50°C for 2 hours in the uranyl acetate solution and then washed with ddH2O. Dehydration and embedding proceeded as described above.
For HEK293T cells, cells were fixed with cacodylate buffer containing 2.5% glutaraldehyde and 2% paraformaldehyde for 30 min, and washed with cacodylate buffer containing 50 mM glycine followed by cacodylate buffer. Peroxidase reactions were initiated with cacodylate buffer containing 0.003% H2O2 and 0.3 mg/mL DAB, and allowed to proceed for 15 min. Cells were then washed with cacodylate buffer and scraped off the plate. Scraped cells were then prepared for EM with the osmium-only staining protocol described above.
Samples were sectioned using a Leica EM UC7 ultramicrotome with Diatome diamond knives, and ultrathin sections (40 nm) were picked up on glow-discharged formvar/carbon films on slot grids (Ted Pella). For single sections, ultrathin sections were imaged using a JEOL 1200EX transmission electron microscope at 80 kV accelerating voltage and 10,000x nominal magnification with an AMT XR-611 CCD camera at a final pixel size of 1.84 nm. Micrographs were excluded from analysis if they were out-of-focus, had inappropriate background correction, or had debris or other artifacts obscuring the field of view. Images were adjusted with normalization using Fiji/ImageJ to enhance contrast.
For serial sections, 50 ultrathin sections were manually picked up and imaged using a JEOL 1200EX transmission electron microscope at 120 kV accelerating voltage and 2,500x nominal magnification with an XIMEA CB200MG-CM CMOS camera at a final pixel size of 4.26 nm. Sections 45-47 were lost during imaging. Images were adjusted with contrast limited adaptive histogram equalization using Fiji/ImageJ to reduce intensity variation across different imaging fields. Individual images were then elastically montaged and aligned using TrakEM252–54. Neuronal profiles, mitochondria and synapses were manually reconstructed using TrakEM2. For 3D visualization, arealists were interpolated using TrakEM2, and meshes were smoothed using ImageJ 3D Viewer to generate 3D models with smooth surfaces.
For quantification of discriminability of Matrix-dAPEX2 vs. IMS-dAPEX2, two annotators (Q.Z. and D.L.P.) independently categorized all the mitochondria in the volume as either matrix-labeled, IMS-labeled, or unlabeled based on the features of the staining derived from single labeling experiments. Then the level of concordance was assessed by comparing the annotations, with the possible outcomes as matching matrix-labeled annotation, matching IMS-labeled annotation, matching unlabeled annotation, mismatching matrix-labeled vs. IMS-labeled annotation, mismatching matrix-labeled vs. unlabeled annotation, and mismatching IMS-labeled vs. unlabeled annotation. Objects on either surface of the volume were not quantified if they only spanned 3 or fewer sections. 12 objects were excluded from the analysis because at least one annotator could not ascertain whether they were mitochondria or not (for 10 of these 12 objects neither annotator could ascertain the identity of the object), because of the small size, obscuration by artifacts, or lack of internal ultrastructure.
Bright-field light microscopy
Sections were processed as described above for electron microscopy up to but not including the osmication step. Then sections were dehydrated with a methanol (MilliporeSigma) series and cleared with 1:2 benzyl alcohol (MilliporeSigma)/benzyl benzoate (MilliporeSigma) (BABB). Cleared sections were mounted with BABB and imaged with an Olympus BX63 using 4x, 10x or 20x objectives. White balance was individually calibrated for each slide, and lighting and exposure times were controlled for all comparison groups.
Reporting Summary
Further information on experimental design is available in the Nature Research Reporting Summary linked to this article.
Data Availability Statement
The authors declare that the data supporting the findings of this study are available within the paper and its supplementary information files.
Supplementary Material
Acknowledgements
We thank P. Kaeser, G. Fishell and members of the Ginty laboratory for discussions and comments on this manuscript, the Boston Children’s Hospital Viral Core Facility for sharing AAV production reagents, E. Raviola, C. Bolger and the Harvard Medical School Electron Microscopy Facility for EM assistance, and the Boston Children’s Hospital Mouse Gene Manipulation Core Facility for assistance in generating of mouse lines. We thank K. Deisseroth for providing the AAV expression vector and H. Zeng for providing the Ai65 targeting vector. This work was supported by NIH grants R35NS097344 (D.D.G.), RF1MH114047 (W.-C.A.L.), and U54HD090255 (Boston Children’s Hospital Mouse Gene Manipulation Core Facility, Intellectual and Developmental Disabilities Research Center), and the Edward R. and Anne G. Lefler Center for Neurodegenerative Disorders (D.L.P. and D.D.G.). Q.Z. is a Stuart H.Q. & Victoria Quan Fellow at Harvard Medical School. D.D.G. is an investigator of the Howard Hughes Medical Institute.
Footnotes
Competing Interests
The authors declare no competing interests.
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Associated Data
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Supplementary Materials
Data Availability Statement
The authors declare that the data supporting the findings of this study are available within the paper and its supplementary information files.