SUMMARY
New neurons arise from quiescent adult neural progenitors throughout life in specific regions of the mammalian brain. Little is known about the embryonic origin and establishment of adult neural progenitors. Here, we show that Hopx+ precursors in the mouse dentate neuroepithelium at embryonic day 11.5 give rise to proliferative Hopx+ neural progenitors in the primitive dentate region, which in turn generate granule neurons, but not other neurons, throughout development and then transition into Hopx+ quiescent radial glial-like neural progenitors during an early postnatal period. RNA-seq and ATAC-seq analyses of Hopx+ embryonic, early postnatal, and adult dentate neural progenitors further reveal common molecular and epigenetic signatures and developmental dynamics. Together, our findings support a “continuous” model wherein a common neural progenitor population contributes exclusively to dentate neurogenesis throughout development and adulthood. Adult dentate neurogenesis may therefore represent a life-long extension of development that maintains heightened plasticity in the mammalian hippocampus.
Graphical Abstract
ETOC:
Adult hippocampal neurogenesis is a continuous process from development with shared embryonic dentate neural progenitors in mice
INTRODUCTION
New neurons are continuously generated in two specific regions of the adult mammalian brain, the subventricular zone (SVZ) along the lateral ventricular wall and the subgranular zone (SGZ) of the dentate gyrus (Kempermann and Gage, 1999; Ming and Song, 2011). Quiescent radial glia-like (RGL) neural progenitors in the adult SGZ give rise to newborn dentate granule neurons and astrocytes (Bonaguidi et al., 2011). Accumulative evidence has supported critical roles of these new neurons in plasticity, learning and memory, and mood regulation, and their dysregulation is implicated in various brain disorders (Anacker and Hen, 2017; Christian et al., 2014). One fundamental question is whether adult neurogenesis represents a unique biological phenomenon with distinct features and functions, or simply an extension in time of brain development.
In contrast to the vast information related to adult neurogenesis, we know very little about the embryonic origin and developmental process that leads to the establishment of adult neural progenitors in the mammalian brain. Given that the extent of adult neurogenesis is largely determined by the initial pool of adult neural progenitors, these questions are critically important. Two models have been proposed for the origin and process of generating adult neural progenitors in the mammalian brain. The earliest was a “sequential” model in which cortical radial glia cells first produce different neuronal subtypes during embryonic stages, followed by glia generation during early postnatal stages, and then the residual radial glia cells are converted to adult neural progenitors to generate specific neurons in the adult brain (Kriegstein and Alvarez-Buylla, 2009). Later, independent studies supported a “set-aside” model for adult SVZ neural progenitors, in which a precursor pool initially generates cortical, striatal or septal neurons and then diverges during mid embryonic development, with one pool continuing to generate neurons and glia and the other remaining dormant in a state of quiescence until adulthood to generate olfactory bulb interneurons (Fuentealba et al., 2015; Furutachi et al., 2015). The identity of precursors to adult SVZ neural progenitors remains unknown. Nonetheless, this “set-aside” model dictates that developmental and adult neurogenesis in the olfactory bulb arise from distinct progenitor pools and, furthermore, precursors to adult SVZ neural progenitors change their lineage specification after the transition. Much less is known about precursors to adult dentate neural progenitors (Berg et al., 2018). Classic studies of embryonic development of rodent dentate gyrus using 3H-thymidine autoradiography in the 1970s and 1990s suggested that the most primitive dentate precursors originate from the primary dentate neuroepithelium (Altman and Bayer, 1990). These precursors migrate along the dentate migratory stream during mid to late embryogenesis to establish the primitive dentate structure, where most dentate granule neurons are generated in the first postnatal week (Bayer and Altman, 1974; Rickmann et al., 1987). The adult structure of the rodent dentate gyrus, including the SGZ niche (Nicola et al., 2015), is thought to be established by postnatal day 14 (P14). A genetic fate-mapping study using Gli-CreER mice showed that precursors situated in the ventral hippocampus at embryonic day 17.5 (E17.5) give rise to a subset of RGLs in the adult dentate gyrus (Li et al., 2013). The identity of precursors to adult SGZ neural progenitors and whether they are set aside in a quiescent state during embryonic development are unknown.
One major obstacle to studying the developmental origin of adult neural progenitors is a lack of tools to facilitate prospective identification in vivo. Studies investigating the origin of adult SVZ neural progenitors used fate-mapping strategies that target slow-dividing cells due to the lack of a more specific method (Fuentealba et al., 2015; Furutachi et al., 2015). We recently identified Homeodomain-only protein (Hopx) as a marker for adult RGLs in the mouse dentate gyrus (Shin et al., 2015). Another study showed that Hopx expression distinguishes between adult neural progenitors in the SGZ and SVZ and potentially regulates dentate neurogenesis by modulating Notch signaling (Li et al., 2015). Here we first characterized RGLs labeled by the Hopx-CreERT2 mouse line in the adult dentate gyrus with long-term clonal lineage-tracing and population fate-mapping analyses. Our discovery that the same genetic marking approach also labels precursors in the dentate neuroepithelium and primitive dentate gyrus led us to perform detailed cellular and molecular analyses of the dentate Hopx+ progenitor population by clonal lineage-tracing, population fate-mapping, and transcriptome and epigenome characterization across development. Collectively, our results identify a common neural precursor population that exhibits constant lineage specification from an early embryonic stage and continuously contributes to embryonic, early postnatal and adult dentate neurogenesis. Our study suggests a unified process of extended development in the mammalian dentate gyrus and highlights differential regulation of precursors to adult neural progenitors in different brain regions.
RESULTS
Hopx-CreERT2 marks neurogenic quiescent RGLs in the adult dentate gyrus
We first examined the Hopx+ RGLs in the adult mouse dentate gyrus by immunostaining for Nestin, Hopx and Mcm2, a cell cycle marker. We found that ~ 95% of all Nestin+ RGLs and all Mcm2− Nestin+ RGLs were Hopx+ (Figure S1A), suggesting a major contribution of Hopx+ RGLs to the total RGL pool and especially the quiescent RGL pool in the adult dentate gyrus.
We next examined the long-term behavior of Hopx+ RGLs in the adult dentate gyrus by clonal lineage-tracing using the Hopx-CreERT2 mouse line (Figure 1A). We determined that a single dose of 94 mg/kg tamoxifen induction of 8 week-old Hopx-CreERT2::EYFP mice resulted in ~10 clones per dentate gyrus examined at 3 days post-injection (dpi), and the number of clones did not increase over time (Figure S1B and Table S1). All labeled precursors at 3 dpi were Nestin+Hopx+ in the dentate gyrus (100%, n = 4 dentate gyri). We estimated over 95% probability of clonality with this labeling density in the adult dentate gyrus using a previously established computational simulation method (Bonaguidi et al., 2011). At 3 dpi, over 90% of all labeled clones consisted of a single quiescent RGL (Nestin+Mcm2−; Figure 1B–C). Time course analysis showed a gradual decrease in the percentage of single RGL clones (Figure 1C). Around 40% of all clones remained as single RGL clones at 12 months post-injection (mpi; Figure 1B–C). Importantly, these quiescent RGLs could enter cell cycle up to a year after labeling. For example, a clone at 12 mpi contained an Mcm2+ proliferating RGL and multiple intermediate progenitor cells (IPCs; Figure S1C). Additionally, voluntary running promoted activation of these RGLs (Figure S1D–F). Thus, the Hopx-CreERT2 mouse line labels RGLs in the adult dentate gyrus that can remain quiescent for a long period of time but retain the capacity to re-enter cell cycle.
We then examined the fate specification of activated adult Hopx+ RGLs. We classified the composition of activated clones into seven categories: RR (≥ 2 RGLs only), RN (≥ 1 RGL and ≥ 1 IPC/neuron), N only (≥ 1 IPC/neuron), RAN (≥ 1 RGL; ≥ 1 astrocyte and ≥ 1 IPC/neuron), NA (≥ 1 IPC/neuron and ≥ 1 astrocyte), RA (≥1 RGL and ≥ 1 astrocyte), and A only (≥ 2 astrocytes). At 7 dpi, the very few activated clones consisted of RR, RN, and N only clones, indicating mostly neuronal fate specification (Figure 1D–E). At 1 mpi there were more activated clones than at 7 dpi, and they similarly consisted of RR, RN, and N only clones (Figure 1E). About 75% of RGLs were Mcm2+ after generating progeny at 1 mpi, suggesting a capacity for self-renewal (Figure 1F–G). By 4 mpi there was a large shift from RR and RN clones toward clones consisting of only neurons with mature morphology, indicating that some RGLs were depleted (Figure 1D–E). Few astrocyte-containing clones were observed at any time points (Figure 1E), suggesting that these Hopx+ RGLs are highly neurogenic. We also performed population fate-mapping with multiple high-dose tamoxifen injections (Figure 1H and Table S1). RGLs, neuronal progeny and few astrocytes were labeled in the dentate gyrus at 7 and 28 dpi, similar to results from our clonal analysis (Figure 1I–J). Thus, the Hopx+ RGLs represent quiescent neural progenitors in the adult dentate gyrus that are biased towards the neuronal fate with some capacity to self-renew.
Embryonic dentate Hopx+ precursors give rise to granule neurons and adult RGLs in the dentate gyrus
The early embryonic origin of RGLs in the adult dentate gyrus is not known. Hopx was previously shown to be expressed in the medial pallium, a brain region linked to embryonic dentate development (Muhlfriedel et al., 2005). Indeed, immunohistological analysis showed Hopx expression in the medial pallium at E10.5, the dentate neuroepithelium at E11.5 and E14.5, the primitive dentate gyrus at E18.5, and early postnatal dentate gyrus at P7 (Figure 2A). In a reporter mouse line with GFP knocked into the Hopx locus (Takeda et al., 2013), GFP+ cells contributed to the overwhelming majority of the Nestin+ neural progenitor population within the dentate region across development from E11.5 to adult (Figure S2A–B). These observations raised the possibility that the Hopx-CreERT2 line might also be used as a tool to enrich targeting of dentate neural progenitors to study dentate development and to trace the potential origin of adult dentate RGLs. We injected timed pregnant female Hopx-CreERT2::mTmG mice with tamoxifen to label embryos at E10.5 and optimized the tamoxifen dose for clonal lineage-tracing. A single injection (125 mg/kg) resulted in labeling of 0.65 ± 0.1 cell clusters per hemisphere at E11.5 (n = 50 hemispheres; Table S1). These labeled cell clusters were located in the dentate neuroepithelium, hippocampal CA neuroepithelium, and cortical neuroepithelium (Figure S2C). The regional identities of labeled clusters could be distinguished throughout embryonic development by tracing the radial process of the labeled precursor back to its ventricular attachment in specific brain regions (Figure S2D). At E11.5, about 80% of hemispheres analyzed were devoid of any labeled cells within the dentate neuroepithelium, while the rest contained only a single cluster (Figure S2E). Individual clusters in the dentate neuroepithelium at E11.5 consisted of only 1 or 2 closely-associated Nestin+ precursors, which were all Hopx+ (n = 4 dentate gyri; Figure 2B and Movie S1). To obtain a statistical assessment of the clonality of clusters containing 2 cells at E11.5, we computationally simulated random placement of 2-cell pairs within the Hopx-expressing region. Based on distance measurements of two labeled cells, we determined that in our experimental paradigm all labeled clusters had an over 99% probability of clonality (Figure S2F).
Next, we performed time-course analyses of dentate clones to examine the clonal properties of precursors labeled by Hopx-CreERT2::mTmG at E10.5. Each brain was serially sectioned for immunostaining, and each clone was three dimensionally reconstructed in its entirety. In the dentate region, the number of cells per clone increased over time (Figure S2G). At E11.5, clones consisted of precursors in the dentate neuroepithelium that were anchored to the ventricle (Figure 2B). At E15.5, clones contained not only Hopx+ precursors in the dentate neuroepithelium, including at least one precursor anchored to the ventricle, but also migrating progenitors along the dentate migratory stream (Figure 2C–D). With high-dose tamoxifen induction of Hopx-CreERT2::H2B-GFP mice at E10.5 (Table S1), we found that Hopx+ precursors at the population level already gave rise to Tbr2+ IPCs at E15.5 (Figure S2H). By E18.5, clonal analysis showed that ~30% of the clones still possessed precursors attached to the ventricle in the dentate neuroepithelium (Figure 2E), while most clones consisted of progenitors in the dentate migratory stream and primitive dentate gyrus (Figure 2F). Dentate clones contained Hopx+ neural progenitors (Nestin+, Sox2+), Tbr2+ IPCs and Prox1+ dentate granule neurons (Figure 2G and S2I). All labeled progenitors were Mcm2+, indicative of active proliferation (n = 5 clones; Figure S2J). Strikingly, these dentate clones did not contain cells in other brain areas, such as the CA1 or CA3 regions of the hippocampus or the cortex (Figure 2H). Similarly, though we observed labeled clones in CA regions and cortex at E18.5 (Figure S2D), consistent with clonal labeling of Hopx+ progenitors in the CA neuroepithelium and cortical neuroepithelium at E11.5 (Figure S2C), they did not contain any labeled cells in the dentate gyrus (Figure 2H).
We next performed clonal lineage-tracing of E10.5 Hopx+ precursors during postnatal dentate development. In the dentate gyrus, we first observed labeled Nestin+ progenitors with a typical RGL morphology around P7–8 (Figure 2I). At P8, each clone contained an average of ~8 RGLs, Tbr2+ IPCs, many neurons and only a few astroglia (Figure 2I–J and S2K). At P30, individual clones exhibited a broad distribution through both suprapyramidal and infrapyramidal blades of the dentate gyrus and along the rostral-caudal axis, as far as 680 μm (Figure 2K and Movie S2). On average, 6 Nestin+ RGLs were found to be interspersed throughout each clone (Figure 2L–M), demonstrating a direct lineage relationship between E11.5 Hopx+ precursors in the dentate neuroepithelium and RGLs in the adult SGZ. Clones observed in the dentate at P30 contained many Prox1+ dentate granule neurons and sparse GFAP+S100β+ bushy astrocytes (Figure S2L–M), but no neurons in CA or cortical regions. With high-dose tamoxifen induction of Hopx-CreERT2::H2B-GFP mice at E10.5 (Table S1), we confirmed that these precursors at the population level gave rise to Hopx+Nestin+ RGLs, Tbr2+ IPCs, DCX+ immature neurons, and Prox1+ granule neurons in the adult dentate gyrus at P60 (Figure S2N–Q). Similarly, with high-dose tamoxifen induction of Hopx-CreERT2::mTmG mice at E15.5 (Table S1), which labeled around 30 dentate progenitors at E16.5 (Figure S2R), a large number of dentate granule neurons (6,372 ± 1,483) and Nestin+ RGLs (484 ± 146; n = 3 animals) were labeled in the dentate gyrus at P14 with few cells labeled outside the dentate gyrus (Figure S2S), suggesting a major contribution of embryonic dentate Hopx+ precursors to the postnatal RGL pool.
Together, these results demonstrate that Hopx-expressing precursors in the dentate neuroepithelium at E11.5 are an embryonic origin of RGLs in the adult dentate gyrus, and they continuously contribute to neurogenesis in the dentate gyrus, but not any other brain regions, throughout embryonic and postnatal dentate development. Unlike precursors to adult SVZ neural progenitors, which generate cortical, striatal, or septal neurons during early embryonic stages but olfactory bulb interneurons in the adult, precursors to adult dentate RGLs exhibit constant lineage specification for dentate granule neurons from early embryonic stages through adulthood.
Dentate Hopx+ progenitors are not set aside during embryonic stages and acquire adult quiescent RGL-like properties during early postnatal development
Next, we investigated the developmental stage at which dentate Hopx+ progenitors acquire adult RGL-like properties. Immunohistological analysis showed that Hopx+Nestin+ progenitors were distributed throughout the entire thickness of the developing granule cell layer at P3, and some started to be localized in the SGZ by P7, and all were localized to the SGZ from P14 into adulthood (Figure 3A and S3A–B). To analyze the morphological features of dentate Hopx+ progenitors, we used Hopx-CreERT2::mTmG mice for sparse labeling (Table S1). There was a transition from multipolar morphology at P3 to radial morphology at P7 and the major radial fiber length was increased during this process (Figure S3C–E). In addition to morphological features, one hallmark of adult neural progenitors is their quiescent state. Almost all Hopx+Nestin+ dentate progenitors were Mcm2+ by immunostaining from E12.5 to P3 (Figure 3A–B). At P7 and P14, ~55% and ~30% of Hopx+Nestin+ progenitors were Mcm2+, respectively, and by P60 the percentage of Mcm2+ progenitors further decreased to ~10% and continued to decrease with age (Figure 3B and S3A). These results showed that as a population Hopx+ dentate progenitors are not set aside in a quiescent state during embryonic development and only transition into a more quiescent adult RGL-like state with a radial morphology during the early postnatal period.
To more directly assess whether or not the general population of precursors to adult dentate quiescent RGLs is set aside in quiescence during embryonic development, we performed label-retaining birth-dating experiments to determine the timing of quiescent RGL generation. Animals were injected with EdU at different developmental stages, followed by a chase period, and then were analyzed at P30 for label-retaining Hopx+ RGLs in the dentate gyrus (Figure 3C–D and S3F). We found that most of the RGLs at P30 were generated from cell divisions that occurred postnatally (P3–P7), with a peak generation at P3 (Figure 3D). Thus, unlike precursors to adult SVZ neural progenitors, precursors to adult RGLs in the dentate gyrus are not set aside in quiescence during embryonic development, but instead transition to a quiescent state during an early postnatal period.
To confirm the results from population quiescence analysis and further examine fate specification of individual early postnatal Hopx+ neural progenitors, we next performed clonal lineage-tracing at P7 (Figure 3E–H). A single dose of 10 mg/kg of tamoxifen induction of Hopx-CreERT2::mTmG mice at P7 resulted in sparse labeling of ~ 4 clones per dentate gyrus at 3 dpi (P10), and the number of clones did not change over time (Figure S3G and Table S1). At 3 dpi, over 70% of clones consisted of a single RGL, while the remaining clones contained both RGLs and progeny (Figure 3E,G–H). The percentage of single RGL clones decreased over time, indicating gradual RGL activation (Figure 3F–G). The tempo of Hopx+ RGL activation was accelerated in early postnatal stages compared to adulthood (Figure 1C and 3G). Analysis of fate specification showed a similar clonal composition as those found for adult Hopx+ RGLs (Figure 1E and 3H). We also performed population fate-mapping of these Hopx+ RGLs at P7 with Hopx-CreERT2::mTmG mice using a single high dose of tamoxifen (Table S1). RGLs, mostly neuronal progeny and few astrocytes were labeled at 7 dpi and 28 dpi (Figure 3I–K), which was also very similar to results from fate-mapping of adult Hopx+ RGLs (Figure 1J).
Together, these results show that, in contrast to the “set-aside” model for adult SVZ, precursors to adult dentate neural progenitors are continuously proliferating and contributing to dentate development before they acquire adult RGL-like radial morphology, localize to the SGZ, and become quiescent during the early postnatal period.
Transcriptome analysis of dentate Hopx+ progenitors reveals a common molecular signature and developmental transitions
The ability to prospectively identify embryonic precursors to adult RGLs in vivo provides the unique opportunity to directly examine their properties at the molecular level to complement our cellular lineage-tracing and fate-mapping analyses. We used the Hopx-CreERT2::H2B-GFP reporter mouse line to isolate dentate Hopx+ neural progenitors at three key developmental stages, including the embryonic (E15.5), early postnatal (P4), and adult (P45) stages (Figure S4A–B and Table S1). We first performed transcriptome analysis of FACS purified progenitors using RNA-seq (Table S2). Among the top 5,000 expressed genes at each development stage, the majority of the genes (3,914) were shared (Figure 4A). We next compared this common gene set with the top 5,000 expressed genes in adult mature mouse dentate gyrus samples, consisting of 90% mature granule neurons (Guo et al., 2011; Su et al., 2017), to eliminate housekeeping and pan-neural genes. We identified a set of 1,306 genes commonly expressed only in dentate neural progenitors of the three stages (Figure 4A and Table S3). Stem cell genes, such as Sox9 and Hes1, were specifically expressed in dentate progenitors at all stages, whereas neuronal genes, such as Camk2a and Synaptophysin (Syp), were specifically expressed in mature dentate gyrus (Figure 4B–D). Gene ontology (GO) analysis of biological processes revealed characteristics of the commonly expressed dentate progenitor genes, including RNA processing and splicing, transcription, and DNA repair (Figure 4E–F and S4C). Many cell cycle genes were commonly expressed to varying degrees – quiescent adult Hopx+ progenitors expressed lower levels of cell cycle genes than embryonic or early postnatal Hopx+ progenitors, but they expressed higher levels than in the whole mature dentate gyrus (Figure 4E and S4C).
Next, we quantitatively compared gene expression among dentate Hopx+ neural progenitors at different stages to examine their developmental dynamics (Table S4 and Figure S5A). From embryonic to early postnatal stages, there were 470 genes upregulated and 27 genes downregulated (Figure 5A–C). GO analysis of biological processes revealed increased expression of genes involved in lipid metabolism, response to extracellular signaling, and brain development (Figure 5D). The small number of downregulated genes were primarily involved in chromatin modifications (Figure 5C). From early postnatal to adult stages, there were 1,331 genes upregulated and 1,419 genes downregulated (Figure 5A–C). GO analysis of biological processes revealed decreased expression of genes involved in cell cycle, transcription and translation regulation (Figure 5D). In contrast, upregulated genes were involved in processes related to transport, oxidation-reduction, and lipid metabolism (Figure 5D). Notably, many of these genes exhibited gradual and continuous changes over the course of development. For example, cell cycle and chromatin modification genes decreased over time, reflecting cell division dynamics and changes in epigenetic gene regulation (Figure 5C). In contrast, cell surface signaling genes increased over development, suggesting a shift from intrinsic signaling by embryonic progenitors to niche-induced extrinsic signaling mechanisms by postnatal progenitors (Figure 5C–D). In addition, many lipid metabolism genes were gradually upregulated, suggesting a shift in the metabolism of dentate neural progenitors during development (Figure 5C–E). We also generated a list of candidate markers for quiescent adult Hopx+ RGLs that exhibit minimal expression in embryonic and early postnatal Hopx+ progenitors (Table S4). We validated expression of some of these dynamic transcripts at the protein level by immunohistology followed by quantification (Figure S5B–E).
Together, the transcriptome analyses of dentate Hopx+ neural progenitors at different developmental stages corroborates our cellular findings of a common dentate progenitor population and further reveals a common molecular signature and insight into the developmental dynamics of these neural progenitors.
ATAC-seq analysis of dentate Hopx+ progenitors across development shows a constant chromatin accessibility landscape
While the transcriptome reflects the cellular state, the epigenome defines the cellular capacity (Ma et al., 2010). Currently, there is no report of any epigenetic profiles for neural progenitors in vivo, in part due to difficulties in obtaining a sufficient number of cells required for most genome-wide analyses. We found that the same FACS preparation of dentate Hopx+ progenitors was sufficient for both RNA-seq and ATAC-seq (Figure S4A–B). The overall ATAC-seq profiles were very similar for these progenitors at the three stages with very few gained open or closed peaks over the course of development (Figure S6A–B). In contrast, the epigenetic landscapes in these progenitors were drastically different from that of mature dentate gyrus samples (Su et al., 2017) (Figure 6A). To identify the chromatin accessibility signature of these dentate neural progenitors, we first selected common ATAC-seq peaks among the three stages (Figure 6B) and then compared them to ATAC-seq peaks from mature dentate gyrus, resulting in 12,942 peaks identified only in dentate progenitors (Figure 6C). Only a small subset of the common peaks was associated with genes, including transcription start sites, exons, introns, and transcription termination sites (Figure 6C). GO analysis of these associated genes showed enrichment for terms related to nervous system development and signal transduction (Figure 6D). The majority of ATAC-seq peaks in progenitors were located in intergenic regions (Figure 6C and S6C), which prevented reliable identification of genes associated with these open chromatin regions. We therefore took a different approach and performed an unbiased motif enrichment analysis to search for transcription factors whose binding sites were highly enriched in ATAC-seq peaks. Motif analysis for peaks shared by dentate neural progenitors, but not by mature dentate gyrus, revealed the top four binding site motifs for Zfp354c, Bcl6, Zbtb18, and Yy1 transcription factors (Figure 6E–F and S6D). Notably, all four transcription factors have been shown to regulate somatic stem cells. Zfp354c regulates self-renewal capacity of mouse muscle stem cells (Alonso-Martin et al., 2016). Ken, a Drosophila homolog of Bcl6, promotes cyst stem cell self-renewal in the testis (Issigonis and Matunis, 2012). Zbtb18 regulates cell cycle exit of neural progenitors during embryonic cortical neurogenesis (Okado, 2018). Yy1 regulates proliferation of many stem cells, including embryonic stem cells (Wang et al., 2018), cardiac progenitor cells (Gregoire et al., 2017), intestinal stem cells (Perekatt et al., 2014), hematopoietic stem cells (Lu et al., 2018), and neural progenitors (Knauss et al., 2018). Similar motif analysis of peaks found in mature dentate gyrus, but not in neural progenitors, identified two top binding site motifs shared by a number of transcription factors (Figure 6E, G). Notably, almost all transcription factors identified by our motif enrichment analysis were expressed in both progenitors and neurons (Figure S6E). Our ATAC-seq results suggest that Zfp354c, Bcl6, Zbtb18, and Yy1 have access to a large number of their binding sites in the genome to regulate gene expression in dentate progenitors, but not in neurons, whereas neuronal transcription factors can regulate many of their targets in neurons, but not in dentate progenitors. These results highlight the importance of combinatorial transcriptomic and epigenetic analyses.
Together, our study provides the epigenetic profiles of neural progenitors in vivo and identifies a common epigenetic signature for Hopx+ dentate neural progenitors at different developmental stages, supporting our model that a common precursor population with a constant lineage specification contributes to dentate neurogenesis throughout development and in adulthood.
DISCUSSION
Using single-cell lineage-tracing and population fate-mapping with a defined marker, our study reveals one embryonic origin of adult neural progenitors in the mouse dentate gyrus and further suggests a “continuous” model in which a single precursor population contributes continuously and exclusively to dentate neurogenesis starting from early embryonic stages to adulthood (Figure 7). Our cellular studies illustrate the developmental process wherein Hopx+ precursors in the dentate neuroepithelium at E11.5 generate more Hopx+ neural progenitors, which travel along the dentate migratory stream to the primitive dentate gyrus during embryonic stages, and then adopt adult RGL-like properties in the SGZ during the early postnatal period. Common transcriptomic and epigenetic signatures for this defined neural progenitor population across development further support our model. Collectively, our results offer insight into the origin and development of adult neural progenitors and provide a tool to facilitate prospective identification and manipulation of these precursors. Our findings open the door for future studies to investigate precisely how these precursors are regulated under physiological and pathological conditions. The concept that the mammalian dentate gyrus exhibits extended, life-long development originating from a common embryonic progenitor population provides a new perspective to understand dentate gyrus function and brain plasticity.
Though our “continuous” model for the generation of adult dentate neural progenitors shares some similarities with previous “sequential” and “set-aside” models, our proposed model has multiple defining features (Figure S7). Similarities include that precursors in both the “continuous” and “sequential” models continuously generate progeny until they transition to a quiescent state postnatally, and that precursors in both the “continuous” and “set-aside” models exhibit some level of restricted lineage specification during development. However, in each of the previous models, embryonic precursors change their lineage specification as development progresses. In contrast, embryonic precursors to adult dentate neural progenitors exclusively generate dentate neurons from E11.5 through adulthood. In addition, a major difference between the SVZ “set-aside” model and dentate “continuous” model is the capacity of precursors to proliferate and contribute to neurogenesis during development. Once generated in the embryo around E14.5, precursors to adult SVZ neural progenitors remain largely quiescent until adulthood, and do not contribute to developmental olfactory bulb neurogenesis (Fuentealba et al., 2015; Furutachi et al., 2015). In contrast, Hopx+ dentate precursors continuously proliferate and contribute to dentate neurogenesis embryonically and postnatally before entering an RGL-like quiescent state when the dentate gyrus is largely formed. Therefore, dentate neurogenesis is one continuous process from a common precursor population. Consistent with our model, one recent unbiased single-cell RNA-seq analysis suggests that perinatal, postnatal, and adult neurogenesis (from E16.5 to P132) in the mouse dentate gyrus are fundamentally similar and share a developmental trajectory (Hochgerner et al., 2018). Together, these findings highlight differences in the generation of adult neural progenitors in different regions of the mammalian brain.
One major limitation in studying precursors to adult neural progenitors is the lack of specific tools. Population fate-mapping, such as with BrdU, lacks the specificity necessary for prospective identification. Similarly, definitive lineage relationships cannot be determined solely from gene expression analysis. For example, two recent studies using single-cell gene expression datasets to bioinformatically reconstruct developmental trajectories suggested a model that a common progenitor at late embryonic and newborn stages gives rise to both dentate granule neurons and CA3 neurons (La Manno et al., 2018; Rosenberg et al., 2018). In contrast, our clonal lineage-tracing study showed that individual embryonic Hopx+ precursors give rise to either dentate granule neurons, cortical or CA neurons, but never more than one neuronal subtype in vivo. Whether the differential fate specification by these Hopx+ neural progenitors are due to differences in the intrinsic progenitor properties or extrinsic niche signaling, or both, remains to be determined. Though Hopx is expressed throughout the medial pallium in the embryonic brain, the Hopx-CreERT2 mouse line enriches for dentate neural progenitors from E11.5, and especially from E15.5 to adult, allowing us to identify an embryonic origin of adult RGLs and describe lineage relationships. Several previous studies have manipulated the general precursor population during embryonic stages to examine the impact on the adult SVZ neural progenitor pool (Falk et al., 2017; Furutachi et al., 2015; Hu et al., 2017), but the exact identity of precursors to adult SVZ neural progenitors remains unknown. The Hopx-CreERT2 mouse line provides a tool to prospectively label and manipulate precursors to adult dentate neural progenitors in vivo, and our transcriptome and epigenome databases of dentate progenitors across development provide a useful resource for future studies. It should be noted that our findings do not rule out the possibility of additional embryonic origins to adult neural progenitors in the mammalian dentate gyrus, given the heterogeneity of neural stem cells in the adult brain (Bonaguidi et al., 2016).
One fundamental question in the field is whether adult neurogenesis is a unique biological phenomenon, or simply an extension of development. Our findings support the “continuous neurodevelopment hypothesis” for mammalian dentate gyrus (Ge et al., 2007). Consistent with our model, previous studies have shown similar developmental milestones (Kim et al., 2012; Zhao et al., 2006) and convergence of functional properties of mature dentate granule neurons generated in the developing and adult dentate gyrus (Laplagne et al., 2006; Laplagne et al., 2007). Our “continuous” model for mammalian dentate gyrus removes the boundary between development and adult neurogenesis and suggests that dentate neurogenesis occurs as one continuous process. Whether adult neurogenesis occurs in the human dentate gyrus remains contentious. Some studies suggest that neural precursors are depleted after neonatal neurogenesis, while others support sustained adult dentate neurogenesis throughout life (Kempermann et al., 2018). These conflicting conclusions highlight the importance of understanding the origin and developmental properties of precursors to adult neural progenitors in mammals. Further study of regulatory mechanisms controlling the common neural precursor population that we have identified may lead to strategies aimed at preserving and enhancing mammalian dentate neurogenesis throughout life.
STAR METHODS
CONTACT FOR REAGENT AND RESOURCE SHARING
Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Hongjun Song (shongjun@pennmedicine.upenn.edu). There are no restrictions on any data or materials presented in this paper.
EXPERIMENTAL MODEL AND SUBJECT DETAILS
Animals
All animal procedures used in this study were performed in accordance with protocols approved by the Institutional Animal Care and Use Committee of Johns Hopkins University School of Medicine and University of Pennsylvania. All transgenic mice used in this study were back-crossed for at least five generations and maintained on a C57BL/6 background. Animals were housed in a 14 hour light/10 hour dark cycle with food and water ad libitum. Both male and female mice were used for all experiments, and no obvious sex phenotype was observed in any of the experiments. Transgenic mice were generated by crossing HopxCreERT2 knock-in mice (Jackson, 017606) that harbored a tamoxifen-inducible CreERT2 fusion gene with one of three Cre-reporter mouse lines: Rosa26flox-stop-flox-EYFP mice (Jackson, 006148) harboring a loxP-flanked STOP sequence followed by the enhanced yellow fluorescent protein gene (EFYP) inserted into the Gt(ROSA)26Sor locus (Srinivas et al., 2001), Rosa26flox-mT-stop-flox-mG mice (Jackson, 007676) harboring loxP sites on either side of a membrane-targeted tdTomato (mT) cassette followed by a STOP sequence, upstream of a membrane-target EGFP (mG) cassette, such that in the presence of Cre the mT cassette is deleted, replaced by mG expression (Muzumdar et al., 2007), and Rosa26flox-stop-flox-H2B-GFP mice (from lab of Dr. Z. Josh Huang) harboring loxP sites on either side of a STOP sequence, upstream of a fusion H2B-GFP protein cassette (Wong et al., 2018). Throughout the manuscript these mice are referred to as Hopx-CreERT2::EYFP, Hopx-CreERT2::mTmG, and Hopx-CreERT2::H2B-GFP mice, respectively. Different fluorescent reporters were used based on experimental requirements. The mTmG reporter was used for embryonic clonal analysis because it requires visualization of long neural stem cell processes. The H2B-GFP reporter was used for FACS purification of neural progenitors. EGFPapoE mice were used for in vivo validation of RNA-seq data (a kind gift from the Yadong Huang lab) (Li et al., 2009). In addition, Hopx3FlagGFP knock-in mice (Jackson, 029271) harboring a 3×FLAG tagged Hopx and EGFP under the Hopx promoter were used to visualize Hopx expression in the brain. Transgenic mice were genotyped using primer sets from original publications and those provided by The Jackson Laboratory. Genomic DNA was isolated in a solution of 25 mM NaOH and 0.2 mM EDTA at 95°C for 1 hour, followed by vortexing and centrifugation.
To assess the effects of voluntary running, mice were given free access to running wheels (VWR, 89067–856 and 89067–850) in standard cages (Jang et al., 2013).
METHOD DETAILS
Tamoxifen and EdU injection
A stock solution of 66.67 mg/mL tamoxifen (Sigma, T5648) was prepared in a 5:1 solution of corn oil:ethanol at 37°C with occasional vortexing until dissolved (Bonaguidi et al., 2011). Tamoxifen was injected intraperitoneally at various doses and paradigms (see Table S1). For embryonic labeling, the timed pregnancy was determined by identifying a vaginal plug (E0.5), and then tamoxifen was administered intraperitoneally to the pregnant females at the target embryonic day. For postnatal studies of embryonically injected mice, live embryos were recovered by cesarean section at E18–19 and then fostered and raised by a non-biological mother (Gao et al., 2014).
A stock solution of 10 mg/ml EdU (Sigma, 900584) was prepared in normal saline solution (0.9%). For the label-retaining birth dating experiment, EdU (50 mg/kg) was injected 2 times at a 6 hour interval intraperitoneally into the mom for embryonic time points (E12.5, E15.5, E17.5) or the pups for postnatal time points (P1, P3, P5, P7, P14) and then brains were all analyzed at P30.
Tissue processing and immunohistology
Animals were transcardially perfused with ice-cold DPBS, followed by ice-cold 4% paraformaldehyde (PFA). Brains were fixed overnight in 4% PFA at 4°C, and then cryoprotected in 30% sucrose solution overnight at 4°C. For animals older than P30, coronal brain serial sections (45 μm) were collected using a sliding microtome (Leica, SM2010R), and serial sections were stored at −20°C in 96-well plates containing anti-freeze solution (300 g sucrose, 300 ml ethylene glycol, 500 ml 0.1M PBS). For embryonic and young postnatal animals, brains were frozen in OCT compound (Sigma) and stored at −80°C until they were serially sectioned at 40 μm using a cryostat (Leica, CM3050S).
Antibodies used in this study can be found in the KEY RESOURCES TABLE. Brains were washed in TBS with 0.05% TritonX-100 and then incubated in primary antibody solution (3.33% donkey serum and 0.05% TritonX-100 in TBS) overnight at 4°C. Brain sections were washed in TBS with 0.05% TritonX-100 and then incubated in secondary antibody solution (3.33% donkey serum and 0.05% TritonX-100 in TBS) and DAPI nuclear stain (Roche) for 1–2 hr at room temperature. Cy2, Cy3, Cy5 (Jackson ImmunoResearch) or Alexa Fluor 488, 555, 647 (Invitrogen) secondary antibodies were used at 1:250 dilutions. After a second set of washes, sections were mounted with 2.5% PVA/DABCO mounting media (Sigma). Brain sections immunostained for Nestin and Mcm2 underwent antigen retrieval where sections were incubated in 1× Target Retrieval Solution (Agilent Dako) at 95°C for 20 min, then room temperature for 20 min before primary antibody incubation. If GFP immunostaining was performed in conjunction with Nestin or Mcm2, then GFP primary and secondary antibody steps were completed prior to antigen retrieval. All brain sections from Hopx-CreERT2::mTmG mice underwent antigen retrieval to quench the endogenous mTomato signal. EdU staining was performed according to manufacturer’s guidelines after secondary antibody staining (Click-iT EdU Alexa Fluor 647 Imaging Kit, Invitrogen).
Confocal microscopy, image processing and quantification
Brain sections were imaged as z-stacks using a Zeiss LSM 810 confocal microscope or a Zeiss LSM 710 confocal microscope (Carl Zeiss). Either 40× or 63× objectives were used for imaging. 3D reconstruction of multiple z-stacks was performed using Reconstruct 1.1.0 (Fiala, 2005), followed by importing into Imaris 7.6 software (Bitplane). Images were then analyzed using either Imaris 7.6 or ImageJ software. Cell-cell distances were calculated using the “measurement point” tool in Imaris. 3D rendering was performed by creating “surfaces”, by outlining the contours of the brain regions of interest in Imaris. For population fate-mapping experiment quantification, at least 3 z-stacks were imaged from 3 different brain sections from each animal.
Postnatal clonal analysis
Clonal analysis of postnatal RGLs and their progeny was performed as previously described (Bonaguidi et al., 2011). In adult (8 week old) Hopx-CreERT2::EYFP animals, we adjusted the dose of tamoxifen to label ~10 clones per dentate gyrus (See Table S1). This induction rate has previously been shown to allow for clonal analysis of RGLs in the adult dentate gyrus (Bonaguidi et al., 2011; Song et al., 2012). A very small number of individual mature astrocytes were also labeled in the adult dentate gyrus at this induction rate, and their total number was constant over time (3 dpi: 1.75 ± 1.11; 7 dpi: 0.89 ± 0.31; 1 mpi: 2.63 ± 0.82; 4 mpi: 1.4 ± 0.6; Values represent mean ± SEM; n = 5–9 dentate gyri). These individual astrocytes were not included in the clonal analysis, and we only considered at least two astrocytes in a cluster to be an astrocyte only clone (Figure 1E). Clones were located along the septo-temporal axis of the dentate gyrus and cell-to-cell distance within a clone was < 150 μm, similar to what has been previously reported for clonal lineage tracing in the adult dentate gyrus (Bonaguidi et al., 2011). In P7 Hopx-CreERT2::mTmG animals, we adjusted the dose of tamoxifen to label ~4 cells per dentate (Table S1) and found that the number of clones remained consistent over time (Figure S3G).
Serial coronal brain sections through the entire hippocampus were cut using either a cryostat or microtome. Every section was kept in order. All sections were stained first with anti-GFP to locate cells within clones. Each clone was imaged in its entirety and cells within the clone were morphologically assessed. Then individual sections were re-stained with specific marker antibodies to confirm cell type and clones were imaged again.
Cell types within clones were assessed by marker expression and morphology. RGLs were defined by their expression of Nestin and their soma situated in the SGZ with a radial process spanning through the granular cell layer. IPCs were defined by their expression of Tbr2 and/or Mcm2 and their horizontal morphology with few short processes. Immature neurons were defined by their expression of Dcx and their morphology consisting of a thin dendrite through the granule cell layer. Dentate granule neurons were defined by their expression of Prox1. Mature granule neurons were defined by their expression of Prox1 and mature morphology consisting of multiple spiny dendrites in the molecular layer and axons through the hilus to CA3.
Embryonic clonal analysis
In timed-pregnant female Hopx-CreERT2::mTmG mice, we adjusted the dose of tamoxifen to label either a single clone or no clone per dentate neuroepithelium (Figure S2E and Table S1). Serial coronal brain sections through the entire forebrain were cut using either a cryostat or sliding microtome. Every section was kept in order. All sections were stained first with anti-GFP to locate cells within clones. Each clone was imaged in its entirety and cells within the clone were morphologically assessed. Then individual sections were re-stained with specific marker antibodies to confirm cell type and clones were imaged again.
Cell types within clones were assessed by a combination of marker expression and morphology. In the developing brain, neural progenitors were defined by their expression of Nestin and Sox2 and/or by the presence of a process anchored to the ventricle in the dentate neuroepithelium. IPCs were defined by their expression of Tbr2 and/or Mcm2, and dentate granule neurons were defined by their expression of Prox1. In the postnatal brain, cells were defined as in the postnatal clonal analysis above.
Purification of dentate neural progenitors for molecular analyses
Hippocampus (E15.5 and P4) or dentate gyrus (adult) was rapidly dissected from fresh Hopx-CreER::H2B-GFP mouse brain (as in Figure S4A) in ice cold DPBS under a dissecting microscope. Tissue was then dissociated using a MACS Neural Tissue Dissociation Kit with Papain (Miltenyi Biotec, 130-092-628) according to the manufacturer’s guidelines. The single cell suspension was then resuspended in 22% Percoll in Hibernate E (E15.5, Brain Bits) or Hibernate A (P4 and adult, Brain Bits) and spun for 10 min at 700g at 4°C with out brakes. The myelin/debris supernatant was removed and the cell pellet was resuspended in Hibernate E Low Fluorescence (E15.5, Brain Bits) or Hibernate A Low Fluorescence (P4 and adult, Brain Bits). Cells were incubated with a 1:50,000 dilution of MitoTracker™ Deep Red (Invitrogen, M22426) for 2 min at room temperature to label viable cells, and then were washed and put through a cell-strainer. Cells were sorted using a BD FACSJazz™ cell sorter. Cells were sorted for RNA-seq and ATAC-seq from the same pool of cells at each time point: E15.5 (7 pups pooled), P4 (4 pups pooled), adult (5 mice pooled).
RNA sequencing and analysis
For RNA-seq, 300 cells per replicate were collected into a lysis buffer (2.4 μl of RNase-free water, 0.2 μl of RNase-free DNase I NEB and 0.25 μl of RNase inhibitor 40 U/μl, NEB) and left to incubate at 72°C for 3 min then immediately transferred onto ice. A custom-designed primer with 30-deoxythymidine anchor (1 μl of 12 μM) was added and incubated at 72°C for 3 min to ann eal to polyadenylated RNA and then transferred immediately onto ice. First strand synthesis was performed using 1 μl SMARTScribe Transcriptase, RT (5×, Clontech) and 5.05 μl of a reaction buffer was added to the 2.85 μl of lysed cell sample bringing the total reaction volume to 10 μl. The reaction was incubated at 42°C for 90 min, followed by enzyme inactivation at 70°C for 10 min. RT reaction buffer included a custom-designed TSO oligo 1 μl of 10 mM (Exiqon), 0.3 μl of 200 mM MgCl2 (Sigma), 0.5 μl of RNase inhibitor (40 U/μl, NEB), 1 μl of dNTP mix Invitrogen (0.25 μl of 100 mM; DTT Invitrogen). After TSO 3’ extension and first strand synthesis, RT product was amplified for 20 cycles using 2 μl of Advantage 2 Polymerase (50×, Clontech) in a 50 μl reaction (10× Advantage 2 Polymerase Buffer, 2 μl of dNTPs, 2 μl of custom-designed amplifying PCR primer (12 mM) and 29 μl of water). The program used was 95°C 1min, 95°C 1 5 s, 65°C 30 s, 68°C 6 min, 72°C 10 min then cycle 19×, with a final extension at 72°C 10 min.
Newly constructed double stranded cDNA was then cleaned using Ampure XP beads (Beckman Coulter) at a 1:1 ratio and eluted in 20 μl of Low 1XTE solution (Ambion). cDNA quality and size distribution were checked on a High-Sensitivity DNA chip (Agilent Bioanalyzer). Sample concentrations were between 20–60 ng/μl with the expected average size of cDA around 1.5 – 2.0 kb. Libraries were constructed by normalizing all samples to 1 ng of total cDNA product and a utilizing a homemade Tn5 tagmentation system (2× TD buffer which included 20 mM TAPS-NaOH, 10 mM MgCl2, 20% DMF) using a 1:16 diluted Tn5 enzyme (Epicenter) as previously described (Picelli et al., 2014). Each 5 μl tagmentation reaction was incubated at 55°C for 1 0 min and immediately quenched using 1.25 0.2% SDS. After quenching, Universal Illumina barcodes and KAPA HiFi HotStart ReadyMix (2×, KAPA Biosystems) was used to amplify, bringing the reaction to 50μl. The program used was as follows: 72°C 5 min, 95° C 1 min, 95°C 20 s, 55°C 30 s, 72°C 30 s, then cycle 9×, with a final extension at 72°C 1 min. Final amplified products were eluted in 20 μl of Low 1XTE solution (Ambion) and cleaned using Ampure XP beads (Beckman Coulter) at a 1:0.9 ratio to remove primer dimers. The samples were then quality checked using High-Sensitivity DNA chip (Agilent Bioanalyzer). The expected average size of library product was around 350 bp. Sample concentrations were then multiplexed at equal nM concentration to the lowest library concentration then diluted to a final concentration of 2 nM and pooled, and were sequenced on Illumina HiSeq 2500 (Illumina Inc).
RNA-seq samples were pseudoaligned to the ENSEMBL GRCm38 Mus Musculus release 90 transcriptome using Kallisto, version 0.43.1 (Bray et al., 2016). Transcript abundances were quantified with 100 bootstraps using default k-mer length 31, mean fragment length 250, and sd 50. Genes differentially expressed between E15 and P4, and between P4 and adult were identified at false discovery rate 0.05 using Sleuth (Pimentel et al., 2016), which takes into account technical variance estimated from the bootstrap samples.
The protein interaction network figure (Figure 5E) was generated using Cytoscape 3.3.0 (Shannon et al., 2003), with the Reactome FI plugin.
ATAC-sequencing and analysis
Library preparation for ATAC-seq was performed as previously described (Su et al., 2017). For ATAC-seq, 5000 cells per replicate were collected. The library was purified on AMPure XP beads (Beckman, A63881), analyzed on an Agilent Bioanalyzer, and 50 bp paired-end sequencing was performed using Illumina Nextseq 550 platform according to standard operating procedures.
Sequencing reads were mapped to mouse genome assembly (mm9) from the UCSC genome browser (http://genome.ucsc.edu/) using Bowtie (Langmead and Salzberg, 2012). Duplicate reads were marked and removed by PICARD Tools (http://broadinstitute.github.io/picard/). Open chromatin peaks were analyzed using MACS2 software (Zhang et al., 2008). Differential peaks between different conditions were generated by diffReps (Shen et al., 2013). Significant overlap between two sets of genomic regions was tested using GAT (Heger et al., 2013). HOMER (Heinz et al., 2010) and MEME (Bailey et al., 2009) were used to annotate those peaks and perform motif discovery analysis. IGV and ngsplot (Shen et al., 2014) were used for visualization of raw intensities. Statistical analyses were performed using in house R script unless otherwise specified.
QUANTIFICATION AND STATISTICAL ANALYSIS
All statistical tests and sample sizes are included in the Figure Legends and text. All data are shown as mean ± SEM. In all cases, p-values are represented as follows: ***p < 0.001, ** p < 0.01, *p < 0.05, and not statistically significant when p > 0.05. All quantifications of cell counts were statistically analyzed using either Student’s t-test (2 groups) or ANOVA with Tukey post-hoc test (3 or more groups). Statistical analysis was performed using either Graphpad Prism version 5.00 (GraphPad Software Inc) or OriginPro 8.5 (OriginLab). In all cases, the stated “n” value is either hemispheres, dentate gyri, or clones, as indicated in the Figure Legends and text, and each group includes hemispheres, dentate gyri, or clones from 3 or more mice. No statistical methods were used to pre-determine sample sizes. Identification and quantification of clones in the adult dentate gyrus in response to running were done blind to treatment (Control or Running) and subjects were randomly assigned to treatment groups (Figure S1D–F). To estimate the probability of a clone in the embryonic clonal analysis, a computational simulation was used to statistically assess the clonal probability of 2-cell clusters at E11.5 after tamoxifen injection at E10.5 using in house R script (Figure S2F). The volume and cell density of the brain area expressing Hopx (including the dentate, hippocampal and cortical neuroepithelia) was measured using Imaris 7.6 software (Bitplane). A 3D model was generated to match the measurements. Cell positions in the volume were picked randomly with the condition that two cells could not have the exact same coordinates, but they could be infinitely close, likely underestimating the real clonal probability for small values. Over 4 million randomly generated cell pairs were analyzed by measuring the distance between the 2 cells. This was repeated multiple times to ensure that the obtained distribution was not due to sampling bias. Finally, the probability as a clone was calculated as equal to one minus the cumulative probability of randomly selecting two cells for every distance inferior or equal to the measured distance (Figure S2F).
MEME (Bailey et al., 2009) was used to perform motif discovery analysis and determine a p-value of motif enrichment (Figure 6E). Biological replicates are represented on PCA plots for the RNA-seq and ATAC-seq data. RNA-seq expression for each biological replicate are presented (Figure 4, 5, S4, S5). In the RNA-seq dataset, differentially expressed genes between time points were identified at false discovery rate of 0.05 using Sleuth (Pimentel et al., 2016). In the ATAC-seq dataset, differential peaks between time points were identified using diffReps (Shen et al., 2013) by pooling biological replicates within each time point (Figure 6, S6). Gene ontology analyses for the RNA-seq and ATAC-seq datasets were performed using DAVID Bioinformatics Database which generated the presented p-values (Figure 4–6).
Supplementary Material
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Antibodies | ||
Goat anti-GFP | Rockland | Cat# 600-101-215; RRID: AB_218182 |
Chicken anti-GFP | Aves | Cat# GFP-1020; RRID: AB_10000240 |
Rabbit anti-Hopx | Santa Cruz | Cat# sc-30216; RRID: AB_2120833 |
Chicken anti-Nestin | Aves | Cat# NES; RRID: AB_2314882 |
Rabbit anti-Tbr2 | Abcam | Cat# ab183991; RRID: AB_2721040 |
Mouse anti-Prox1 | Millipore | Cat# MAB5654; RRID: AB_2170714 |
Mouse anti-Mcm2 | BD | Cat#610701; RRID: AB_398024 |
Goat anti-Sox2 | Santa Cruz | Cat# SC-17320 RRID:AB_2286684 |
Mouse anti-S100β | Sigma | Cat#S2532; RRID: AB_477499 |
Rabbit anti-GFAP | Dako | Cat# Z0334; RRID: AB_10013382 |
Mouse anti-GFAP | Sigma | Cat# MAB360; RRID: AB_11212597 |
Goat anti-Dcx | Santa Cruz | Cat# sc-8066; RRID: AB_2088494 |
Rabbit anti-Stathmin1 | Abcam | Cat# ab52630: RRID: AB_2197257 |
Bacterial and Virus Strains | ||
N/A | ||
Biological Samples | ||
N/A | ||
Chemicals, Peptides, and Recombinant Proteins | ||
Tamoxifen | Sigma | T5648 |
Paraformaldehyde | Electron Microscopy Sciences | 100504–162 |
EdU | Sigma | 900584 |
Triton™ X-100 | Sigma-Aldrich | T9284 |
DAPI | Roche | 10236276001 |
TFM™ Tissue Freezing Medium | GeneralData | TFM-5 |
Percoll | GE Healthcare | 17-0891-02 |
Hibernate A | Brain Bits | HA |
Hibernate A Low Fluorescence | Brain Bits | HALF |
Hibernate E | Brain Bits | HE |
Hibernate E Low Fluorescence | Brain Bits | HELF |
MitoTracker™ Deep Red FM - Special Packaging | Thermo Fisher Scientific | M22426 |
TE Buffer, 1× Solution pH 8.0, Low EDTA, Affymetrix | Thermo Fisher Scientific | AAJ75793AE |
Target Retrieval Solution, Concentrated × 10 | Agilent Dako | S169984–2 |
Critical Commercial Assays | ||
Click-iT EdU Alexa Fluor 647 Imaging Kit | Thermo Fisher Scientific | C10340 |
MACS Neural Tissue Dissociation Kit (P) | Miltenyi Biotec | 130-092-628 |
Agencourt® RNAClean® XP | Beckman Coulter | A63987 |
SMARTScribe™ Reverse Transcriptase | Clontech | 639538 |
Advantage® 2 PCR Kit | Clontech | 639206 |
KAPA HiFi PCR Kit with dNTPs | KAPA | KK2102 |
Qubit® dsDNA HS Assay Kit | Thermo Fisher Scientific | Q32854 |
EZ-Tn5™ Custom Transposome™ Construction Kit with pMOD-2 Transposon Construction Vector | Epicentre | TNP10622 |
Deposited Data | ||
RNA-seq and ATAC-seq data | This paper | GSE125315 |
Experimental Models: Cell Lines | ||
N/A | ||
Experimental Models: Organisms/Strains | ||
Mouse: Hopxtm2.1(cre/ERT2)Joe/J | The Jackson Laboratory | 017606; RRID: IMSR_JAX:017606 |
Mouse: B6.129X1-Gt(ROSA)26Sortm1(EYFP)Cos/J | The Jackson Laboratory | 006148; RRID: IMSR_JAX:006148 |
Mouse: B6.129(Cg)-Gt(ROSA)26Sortm4(ACTB-tdTomato,-EGFP)Luo/J | The Jackson Laboratory | 007676; RRID: IMSR_JAX:007676 |
Mouse: EGFPapoE | Yadong Huang lab | N/A |
Mouse: Rosa26flox-stop-flox-H2B-GFP | Z. Josh Huang lab | N/A |
Mouse: Hopxtm3.1Joe/J | The Jackson Laboratory | 029271; RRID: IMSR_JAX:029271 |
Mouse: C57BL/6NCrl | Charles River Laboratory | CRL:27; RRID: IMSR_CRL:27 |
Mouse: Crl:CD1(ICR) | Charles River Laboratory | CRL:22; RRID: IMSR_CRL:22 |
Oligonucleotides | ||
N/A | ||
Recombinant DNA | ||
N/A | ||
Software and Algorithms | ||
Kallisto | Bray et al., 2016 | http://pachterlab.github.io/kallisto/download |
Sleuth | Pimentel et al., 2016 | https://pachterlab.github.io/sleuth/download |
Cytoscape | Shannon et al., 2003 | http://www.cytoscape.org/download.php |
ImageJ | NIH | https://imagej.nih.gov/ij/ |
Imaris | Bitplane | Bitplane |
Reconstruct | NIH | https://synapseweb.clm.utexas.edu/software-0 |
R | Open source | https://www.r-project.org/ |
GraphPad Prism | GraphPad Software Inc | http://www.graphpad.com/scientific-software/prism/ |
Origin | OriginLab | http://www.originlab.com/ |
ZEN 2 (blue edition) | ZEISS | https://www.zeiss.com/microscopy/us/products/microscope-software/zen-lite.html |
FlowJo v10.3 | FlowJo, LLC | https://www.flowjo.com/solutions/flowjo |
Bowtie2 | Langmead and Salzberg, 2012 | http://bowtie-bio.sourceforge.net/bowtie2/manual.shtml |
Samtools | Li et al., 2009 | http://samtools.sourceforge.net |
Bedtools | Quinlan and Hall, 2010 | http://bedtools.readthedocs.io/en/latest/ |
IGV | The Broad Institute | https://software.broadinstitute.org/software/igv/ |
diffreps | Shen et al., 2013 | http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0065598 |
GAT | Heger et al., 2013 | https://gat.readthedocs.io/en/latest/ |
HOMER | Heinz et al., 2010 | http://homer.ucsd.edu/homer/ |
PICARD | The Broad Institute | https://broadinstitute.github.io/picard/ |
MACS2 | Zhang et al., 2008 | http://liulab.dfci.harvard.edu/MACS/ |
ngsplot | Shen et al., 2014 | https://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-15-284 |
MEME | Bailey et al., 2009 | http://meme-suite.org/tools/meme-chip |
Other | ||
Fast-Trac, Bio-Serv | VWR | 89067–856 |
Mouse Igloo, Bio-Serv | VWR | 89067–850 |
HIGHLIGHTS.
Hopx-CreERT2 line can label an embryonic origin of adult dentate neural progenitors
Hopx+ dentate progenitors exhibit constant lineage specification across development
Developmental and adult dentate neurogenesis are one continuous process
Hopx+ dentate progenitors retain common molecular signatures across development
ACKNOWLEDGEMENT
We thank K.M. Christian for comments, members of Ming and Song laboratories for discussion, D. Johnson and B. Temsamrit for technical support, J. Schnoll for lab coordination, V. Yoon and Y. Huang for providing Apoe-GFP transgenic mouse tissue. This work was supported by grants from National Institutes of Health (P01NS097206 and R37NS047344 to H.S., R35NS097370 and R01MH105128 to G-l.M., R35HL140018 to J.A.E., and DP2HL147123 to J.R.) and by the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation (to G-l.M.). J.R. was supported by the Burroughs Wellcome Foundation. D.A.B was supported by an EMBO postdoctoral fellowship and a grant from the Swedish Research Council.
Footnotes
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DATA AND SOFTWARE AVAILABILITY
The access number for the RNA-seq and ATAC-seq data reported in this study is NCBI GEO: GSE125315.
DECLARATION OF INTERESTS
The authors declare no competing interests.
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