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. 2018 Mar 20;7:e32017. doi: 10.7554/eLife.32017

Neurogliaform cortical interneurons derive from cells in the preoptic area

Mathieu Niquille 1,2,, Greta Limoni 1,2,, Foivos Markopoulos 2,, Christelle Cadilhac 1,2, Julien Prados 1,2, Anthony Holtmaat 2, Alexandre Dayer 1,2,
Editor: Joseph G Gleeson3
PMCID: PMC5860868  PMID: 29557780

Abstract

Delineating the basic cellular components of cortical inhibitory circuits remains a fundamental issue in order to understand their specific contributions to microcircuit function. It is still unclear how current classifications of cortical interneuron subtypes relate to biological processes such as their developmental specification. Here we identified the developmental trajectory of neurogliaform cells (NGCs), the main effectors of a powerful inhibitory motif recruited by long-range connections. Using in vivo genetic lineage-tracing in mice, we report that NGCs originate from a specific pool of 5-HT3AR-expressing Hmx3+ cells located in the preoptic area (POA). Hmx3-derived 5-HT3AR+ cortical interneurons (INs) expressed the transcription factors PROX1, NR2F2, the marker reelin but not VIP and exhibited the molecular, morphological and electrophysiological profile of NGCs. Overall, these results indicate that NGCs are a distinct class of INs with a unique developmental trajectory and open the possibility to study their specific functional contribution to cortical inhibitory microcircuit motifs.

Research organism: Mouse

eLife digest

Our brain contains over a 100 billion nerve cells or neurons, and each of them is thought to connect to over 1,000 other neurons. Together, these cells form a complex network to convey information from our surroundings or transmit messages to designated destinations. This circuitry forms the basis of our unique cognitive abilities.

In the cerebral cortex – the largest region of the brain – two main types of neurons can be found: projection neurons, which transfer information to other regions in the brain, and interneurons, which connect locally to different neurons and harmonize this information by inhibiting specific messages. The over 20 different types of known interneurons come in different shapes and properties and are thought to play a key role in powerful computations such as learning and memory.

Since interneurons are hard to track, it is still unclear when and how they start to form and mature as the brain of an embryo develops. For example, one type of interneurons called the neurogliaform cells, have a very distinct shape and properties. But, until now, the origin of this cell type had been unknown.

To find out how neurogliaform cells develop, Niquille, Limoni, Markopoulos et al. used a specific gene called Hmx3 to track these cells over time. With this strategy, the shapes and properties of the cells could be analyzed. The results showed that neurogliaform cells originate from a region outside of the cerebral cortex called the preoptic area, and later travel over long distances to reach their final location. The cells reach the cortex a few days after their birth and take several weeks to mature.

These results suggest that the traits of a specific type of neuron is determined very early in life. By labeling this unique subset of interneurons, researchers will now be able to identify the specific molecular mechanisms that help the neurogliaform cells to develop. Furthermore, it will provide a new strategy to fully understand what role these cells play in processing information and guiding behavior.

Introduction

Cortical microcircuit function relies on the coordinated activity of a variety of GABAergic interneuron subtypes, which play critical roles in controlling the firing rate of glutamatergic pyramidal neurons, synchronizing network rhythms and regulating behavioral states (Cardin et al., 2009; Fu et al., 2014; Kepecs and Fishell, 2014; Pfeffer et al., 2013; Pi et al., 2013; Pinto and Dan, 2015; Sohal et al., 2009; Zhang et al., 2014). Different subtypes of cortical interneurons (INs) emerge during development and their specification arises through the complex interaction of cell-intrinsic mechanisms and cell-extrinsic cues (Bartolini et al., 2013; Fishell and Rudy, 2011; Huang, 2014; Kessaris et al., 2014). Cortical INs are generated in a variety of subpallial regions and the combinatorial expression of transcription factors (TFs) in these domains is believed to play a critical role in their fate specification (Kessaris et al., 2014; Anastasiades and Butt, 2011; Flames et al., 2007; Wonders and Anderson, 2006). The largest fraction (about 60–70%) of cortical INs is generated from NKX2.1-expressing progenitors located in the medial ganglionic eminence (MGE) (Butt et al., 2008; Xu et al., 2008) and their specification is under the control of the TFs LHX6 (Du et al., 2008; Liodis et al., 2007) and SOX6 (Azim et al., 2009; Batista-Brito et al., 2009). MGE-derived INs develop into fast-spiking parvalbumin (PV)+ basket and chandelier cells, as well as into Martinotti and multipolar somatostatin (SST)+ INs (Butt et al., 2008; Xu et al., 2008; Du et al., 2008; Butt et al., 2005; Fogarty et al., 2007; Taniguchi et al., 2013). The second largest fraction of cortical INs arises from the caudal ganglionic eminence (CGE) (Miyoshi et al., 2010; Nery et al., 2002) and expresses TFs such as PROX1, SP8 and NR2F2 (Cai et al., 2013; Ma et al., 2012; Miyoshi et al., 2015; Rubin and Kessaris, 2013). CGE-derived INs also express the ionotropic serotonin receptor 3A (5-HT3AR) and give rise to a large diversity of INs, including reelin+ cells, vasointestinal peptide (VIP)+/calretinin+ bipolar cells and VIP+/cholecystokinin+ basket cells (Miyoshi et al., 2010; Armstrong and Soltesz, 2012; Prönneke et al., 2015; Lee et al., 2010; Murthy et al., 2014; Vucurovic et al., 2010). Finally, lineage-tracing experiments using Hmx3 (Nkx5.1)-Cre (Gelman et al., 2009) and Dbx1-Cre driver lines (Gelman et al., 2011) have shown that a small fraction (about 10%) of cortical INs originate from the preoptic area (POA) (Gelman et al., 2009; Gelman et al., 2011).

Among cortical INs, neurogliaform cells (NGCs) display unique characteristics. They represent the main source of ‘slow’ cortical inhibition by acting on metabotropic GABAB receptors (Tamás et al., 2003), and are thought to be key effectors of a powerful inhibitory circuit recruited by long-range connections such as interhemispheric and thalamic projections (Craig and McBain, 2014; Palmer et al., 2012; De Marco García et al., 2015). Whether the current description of NGCs captures an IN subtype related to a distinct developmental specification process is unclear. Here we used in vivo genetic lineage-tracing to follow the developmental origin and trajectory of NGCs. We found that they originate from a distinct pool of 5-HT3AR-expressing Hmx3+ cells located in the rostral POA region, ventrally to the anterior commissure. In the embryonic POA, Htr3a-GFP+ INs in the Hmx3+ domain expressed CGE-enriched TFs such as PROX1 and NR2F2, but only rarely, if not, MGE-related TFs such as NKX2.1 or LHX6. In the cortex, Hmx3-derived Htr3a-GFP+ INs expressed markers of CGE-derived INs such as NPY and/or reelin, as well as CGE-enriched TFs such as SP8, NR2F2 and PROX1, but neither MGE-specific markers such as PV or SST nor TFs such as LHX6 or SOX6. Finally, single-molecule in situ hybridization and electrophysiological recordings followed by post hoc reconstructions indicated that Hmx3-derived Htr3a-GFP+ cells exhibited the molecular, electrophysiological and morphological profile of NGCs. Taken together, these results demonstrate that cortical NGCs have a precise developmental trajectory that is linked to the expression of the transcription factor (TF) Hmx3 in a discrete embryonic subpallial region.

Results

To determine whether the POA could contribute to Htr3a-GFP INs, we crossed Htr3a-GFP; R26R-tdTOMfl/fl mice with Hmx3-Cre mice, a reporter line previously shown to fate map a population of cortical INs derived from cells located in the POA (Gelman et al., 2009). Examination of brains from Hmx3-Cre::Htr3a-GFP; R26R-tdTOMfl/fl matings at embryonic age 14.5 (E14.5) revealed a large fraction of Hmx3; tdTOM+ cells co-labelled with Htr3a-GFP (85.2 ± 0.9%; 1675/1986 cells in the overlap zone) in a restricted region of the POA, located ventrally to the anterior commissure (Figure 1A,C, Figure 1—source data 1). Individual co-labelled Hmx3; tdTOM+/Htr3a-GFP+ cells displaying migratory profiles were observed at more caudal levels entering the CGE (Figure 1B), suggesting that a fraction of Hmx3; tdTOM+/Htr3a-GFP+ cells migrate from the POA into the CGE. In situ hybridization indicated that the vast majority (95.8 ± 0.9%; 115/120 cells) of Hmx3; tdTOM+/Htr3a-GFP+ cells located in the POA expressed the endogenous Htr3a mRNA, in contrast to Hmx3; tdTOM+cells negative for Htr3a-GFP (0.5 ± 0.5%; 1/158 cells) (Figure 1D, Figure 1—source data 1). In addition, a large fraction of Hmx3; tdTOM+/Htr3a-GFP+ cells in the POA expressed the TFs PROX1 (54.0 ± 2.2%; 249/463 cells) and NR2F2 (65.9 ± 1.3%; 795/1212 cells), which have previously been shown to be enriched in CGE-derived INs (Cai et al., 2013; Ma et al., 2012; Miyoshi et al., 2015; Rubin and Kessaris, 2013), but more rarely the TF NKX2.1 (15.3 ± 1%; 175/1146 cells) (Figure 1E,F, Figure 1—source data 1). Collectively, these results indicate that a fraction of Hmx3+ cells located in the POA express the 5-HT3AR and a pattern of TFs related to CGE-derived INs.

Figure 1. A fraction of 5-HT3AR-expressing interneurons (INs) originates from Hmx3-derived cells in the preoptic area (POA) and expresses transcription factors related to the caudal ganglionic eminence (CGE).

Figure 1.

(A) At E14.5, tdTOM specifically labels cells expressing Hmx3 (Hmx3; tdTOM+). Htr3a-GFP+ INs co-label with tdTOM in a rostral region of the POA (dashed lines; high magnified images) located ventrally to the anterior commissure (AC). (B) At more caudal levels, Hmx3; tdTOM+/Htr3a-GFP+ embryonic cells appear to further migrate caudally (arrowhead) towards the CGE. High magnified images show Hmx3; tdTOM+/Htr3a-GFP+ cells entering the ventral CGE (dashed lines). (C) More than 80% of Hmx3; tdTOM+ cells co-label with Htr3a-GFP (and conversely) in the overlap zone (orange dashed line) of the POA domain defined by Hmx3; tdTOM recombination (white dashed line). (D) In situ hybridization showing that almost all Hmx3; tdTOM+/Htr3a-GFP+ INs in the POA express the Htr3a mRNA (arrowheads; yellow outline), whereas Hmx3; tdTOM+ cells do not (empty arrowheads; cyan outline). (E) In the overlap zone of the POA, IHC reveals that Hmx3; tdTOM+/Htr3a-GFP+ embryonic cells express (arrowheads) the CGE-enriched transcription factors PROX1 (left) and NR2F2 but not SP8 (right). (F) By contrast, the vast majority of Hmx3; tdTOM+/Htr3a-GFP+ INs do not express NKX2.1 (arrowheads). dTh: dorsal thalamus, GP: globus pallidus, LGE: lateral ganglionic eminence, LV: lateral ventricle, MGE: medial ganglionic eminence. Scale bars: 300 µm in A, B: low magnified images; 100 µm in C, D: low magnified images; 50 µm in A, B: high magnified images; 25 µm in E, F; 10 µm in D: high magnified images.

Figure 1—source data 1. Detailed counts of cells quantified in Figure 1 in the different experimental conditions.
DOI: 10.7554/eLife.32017.004

To determine whether Hmx3; tdTOM+/Htr3a-GFP+ cells in the POA eventually give rise to a specific subpopulation of cortical INs, we examined brains at various postnatal ages. From P5 to P21, Hmx3; tdTOM+/Htr3a-GFP+ INs were found distributed preferentially in superficial cortical layers and in a variety of other brain regions including in the hippocampus (Figure 2A, Figure 2—figure supplement 1). Hmx3; tdTOM+/Htr3a-GFP+ cells were rarely observed at postnatal ages in the subpallial brain regions corresponding to the embryonic POA (i.e., the preoptic nuclei) (Figure 2—figure supplement 2). In situ hybridization for Htr3a mRNA indicated that Hmx3; tdTOM+/Htr3a-GFP+ cells expressed the Htr3a transcript, similarly to Htr3a-GFP+ cells negative for Hmx3; tdTOM (Figure 2C). About half (51.9 ± 2.1%; 863/1653 cells) of Hmx3-derived cells in the cortex were co-labelled with Htr3a-GFP+ and virtually all Hmx3; tdTOM+/Htr3a-GFP+ (96.1 ± 0.5%; 357/372 cells) were positive for the neuronal marker NeuN (Figure 2D,E, Figure 2—source data 1). In contrast, the fraction of Hmx3; tdTOM+ cells negative for Htr3a-GFP mostly did not express NeuN (3.4 ± 1.3%; 28/758 cells) (Figure 2D,E, Figure 2—source data 1), and remained relatively constant across postnatal ages (Figure 2—figure supplement 3A, Figure 2—figure Supplement 3—source data 1). These cells displayed the morphology of glial cells and expressed the astrocytic markers GFAP and S100β as well as the oligodendrocytic marker SOX10 (Figure 2—figure supplement 3B–D). Overall, these findings indicate that the cortical Hmx3-derived lineage observed in the POA differentiate into INs that are Htr3a-GFP+, glial cells that are Htr3a-GFP negative and, for a small fraction, to NeuN+ neurons negative for Htr3a-GFP.

Figure 2. During the postnatal period, Hmx3-derived cells from the preoptic area (Gelman et al., 2009) constitute a small but persistent fraction of 5-HT3AR-expressing interneurons (INs) (Lee et al., 2010) in superficial cortical layers.

(A–B) Hmx3; tdTOM+/Htr3a-GFP+ cells represent a fraction of Htr3a-GFP+ INs that increases along postnatal ages P5 (left), P9 (middle) and P21 (right). Note that double-labeled cells (open arrowheads) are mainly located in superficial cortical layers. (C) In situ hybridization showing that, at P21, Htr3a mRNA is found in cortical Hmx3; tdTOM+/Htr3a-GFP+ INs (arrowheads) as in Htr3a-GFP+ INs (open arrowheads). (D–E) Hmx3; tdTOM+/Htr3a-GFP+ cells largely express the neuronal marker NeuN (arrowheads) whereas those negative for Htr3a-GFP only rarely do (arrows, open arrowhead). Scale bars: 100 µm in A, C: low magnified images; 25 µm in C: high magnified images, D.

Figure 2—source data 1. Detailed counts of cells quantified in Figure 2 in the different experimental conditions.
DOI: 10.7554/eLife.32017.010

Figure 2.

Figure 2—figure supplement 1. Rostro-caudal distribution of Hmx3; tdTOM+/Htr3a-GFP+ cells at P21.

Figure 2—figure supplement 1.

(A) Hmx3; tdTOM+/Htr3a-GFP+ cells are observed in a variety of cortical areas as well as other brain regions including the hippocampus (Hip) and the amygdala (Am) (B) High magnified images showing Hmx3; tdTOM+/Htr3a-GFP+ cells in various brain regions. AH: amygdalo-hippocampal area, Am-a: amygdaloid areas, AuC: auditory cortex, bsc: brachius of the superior colliculus, CC: corpus callosum, CPu: caudate putamen (striatum), DLG: dorso-lateral geniculate nucleus, GP: globus pallidus, Hy: hypothalamus, lot: lateral olfactory tract, LV: lateral ventricle, MC: motor cortex, MeAm: medial amygdala, mfb: medial forebrain boundle, ml: medial lemniscus, MGN: medial geniculate nucleus, mOFC: medial orbitofrontal cortex, mPFC: medial prefrontal cortex, opt: optic tract, PG: progeniculate nucleus, Pir: piriform cortex, PM: pre-mamillary nuclei, PoN: preoptic nucleus, RCh: retrochiasmatic area, RM: retro-mamillary nuclei, SCh: suprachiasmatic nucleus, SSC: somatosensory cortex, SuC: superior colliculus (optic nerve layer and superficial grey layer), VC: visual cortex, WM: white matter. Scale bars: 5 mm in A; 50 µm in B.

Figure 2—figure supplement 2. At postnatal ages, Hmx3; tdTOM+/Htr3a-GFP+ cells are rarely observed in the preoptic nuclei (PoN), the subpallial brain region corresponding to the embryonic preoptic area.

Figure 2—figure supplement 2.

(A–B) Hmx3; tdTOM+ cells negative for Htr3a-GFP are present in PoN at P5 (A), and P21 (B) where rare Hmx3; tdTOM+/Htr3a-GFP+ were found (high magnified images). AC: anterior commissure. Scale bars: 300 µm in A, B: low magnified images; 50 µm in A, B: high magnified images.

Figure 2—figure supplement 3. Hmx3; tdTOM+ cells negative for Htr3a-GFP often express glial markers.

Figure 2—figure supplement 3.

(A) The fraction of Hmx3; tdTOM+ cells negative for Htr3a-GFP is relatively stable across postnatal ages. (B–D) Hmx3; tdTOM+ cells negative for Htr3a-GFP express the astrocytic markers GFAP (B; arrows), S100β (C; arrow) and the oligodendrocytic transcription factor SOX10 (D; arrows). In contrast, Hmx3; tdTOM+/Htr3a-GFP+ cells are negative for these markers (B-D; arrowheads). Scale bar: 50 µm in B, C, D.
Figure 2—figure supplement 3—source data 1. Detailed counts of cells quantified in Figure 2—figure supplement 3 in the different experimental conditions.
DOI: 10.7554/eLife.32017.009

A second distinct region in the POA expressing Dbx1 was previously reported to give rise to subsets of cortical INs (Gelman et al., 2011). To determine whether a fraction of Htr3a-GFP+ INs also originate from Dbx1-expressing cells, we examined Dbx1-Cre::Htr3a-GFP; R26R-tdTOMfl/fl brains at postnatal periods. While the overall contribution of Hmx3-derived cells to the Htr3a-GFP IN population in the cortex increased with postnatal maturation from P5 (6.8 ± 0.2%; 77/1118 cells) to P21 (16.0 ± 0.3%; 863/5405 cells) (Figure 3A,C), only minimal fractions (1.44 ± 0.2%; 81/5741 cells at P5; 0.8 ± 0.2%; 20/2551 cells at P21) of Htr3a-GFP+ INs were fate-mapped with Dbx1; tdTOM (Figure 3B,C, Figure 3—source data 1). Moreover, Dbx1; tdTOM+ cells were preferentially found in deep cortical layers and expressed the MGE-enriched TF SOX6 (30.4 ± 2.2%; 82/266 cells), while PROX1 was found only in a very small fraction of Dbx1; tdTOM+ cells expressing also the Htr3a-GFP (2.2 ± 0.7%; 6/266 cells) (Figure 3D, Figure 3—source data 1). In addition, Dbx1; tdTOM+ INs expressed Lhx6 mRNA (Figure 3E), and the MGE-related markers SST and PV (Figure 3—figure supplement 1), and only very rarely the Htr3a mRNA (Figure 3F). Overall, these results indicate that Hmx3-derived 5-HT3AR+ cortical INs largely originate from Hmx3-expressing cells but not from the Dbx1+ domain, which gives rise to INs expressing MGE-related markers.

Figure 3. 5-HT3AR-expressing interneurons (INs) largely originate from Hmx3+ but not Dbx1+ cells.

(A–C) A consistent fraction of cortical Htr3a-GFP+ INs co-labels with Hmx3; tdTOM (A, arrowheads) at P5 and P21, whereas only a minimal fraction does with Dbx1; tdTOM (B, arrowhead). (D) Dbx1; tdTOM+ INs express the MGE-enriched TF SOX6 (arrowhead) but not the CGE-enriched TF PROX1 (open arrowheads). Only a minimal fraction of Dbx1; tdTOM+ co-labelled for Htr3a-GFP, among which the majority were PROX1+. (E–F) In situ hybridization showing that Dbx1; tdTOM+ INs express the transcript for the MGE-enriched TF Lhx6 (E, arrowheads) whereas Htr3a-GFP+ INs do not (E, open arrowheads). In contrast, Dbx1; tdTOM+ INs do not express the Htr3a transcript (F, arrowheads) whereas Htr3a-GFP+ INs do (F, open arrowheads). Scale bars: 100 µm in A, B, E, F: low magnified images; 50 µm in A, B, D, E, F: high magnified images.

Figure 3—source data 1. Detailed counts of cells quantified in Figure 3 in the different experimental conditions.
DOI: 10.7554/eLife.32017.013

Figure 3.

Figure 3—figure supplement 1. Interneurons (INs) derived from Dbx.1+ cells express MGE-enriched markers.

Figure 3—figure supplement 1.

(A–B) Dbx1; tdTOM+ cells negative for Htr3a-GFP express the neurochemical markers somatostatin (SST) (A, arrowheads) and parvalbumin (PV) (B, arrowheads). WM: white matter. Scale bars: 100 µm in A, B: low magnified images; 50 µm in A, B: high magnified images.

We next examined whether Hmx3; tdTOM+/Htr3a-GFP+ cells expressed distinct patterns of TFs involved in cortical IN subtype specification. At P21, we found that, similarly to Htr3a-GFP+ INs, a large fraction (65.8 ± 3.4%; 202/308 cells) of Hmx3; tdTOM+/Htr3a-GFP+ INs expressed the CGE-enriched but not the MGE-related TFs. Indeed, a large fraction of them (65.8 ± 3.4%; 202/308 cells) expressed PROX1 but not SOX6 (Figure 4A,B, Figure 4—source data 1), as well as NR2F2 (32.7 ± 5.9%; 71/218 cells), SP8 (9.8 ± 2.6%; 22/218 cells), and both SP8 and NR2F2 (8.8 ± 2.0%; 18/218 cells) (Figure 4C,D, Figure 4—source data 1). The fraction of Hmx3; tdTOM+/Htr3a-GFP+ expressing at least one of these two latter TFs was smaller and biased toward NR2F2 expression, when compared to Htr3a-GFP+ INs (Figure 4D, Figure 4—figure supplement 1, Figure 4—source data 1). These findings indicate that Hmx3; tdTOM+/Htr3a-GFP+ cortical INs express a repertoire of TFs related to CGE but not to MGE-derived INs.

Figure 4. Hmx3; tdTOM+/Htr3a-GFP+ cortical interneurons (INs) express markers related to the CGE but not to the MGE.

(A–B) Hmx3; tdTOM+/Htr3a-GFP+ INs express the CGE-enriched TF PROX1 (A; arrowheads) but not the MGE-related TF SOX6 (A; open arrowheads) similarly to Htr3a-GFP+ INs that do not derive from Hmx3+ cells (B, right graph). (C–D) Hmx3; tdTOM+/Htr3a-GFP+ cells express the CGE-enriched TFs NR2F2 (arrowheads) and (open arrowheads)/or SP8 (arrow). Htr3a-GFP+ derived from Hmx3+ cells are biased towards NR2F2 expression, in comparison to Htr3a-GFP+ INs that do not co-label with Hmx3; tdTOM (D, blue bars). Scale bars: 100 µm in A, C: low magnified images; 50 µm in A, C: high magnified images.

Figure 4—source data 1. Detailed counts of cells quantified in Figure 4 in the different experimental conditions.
DOI: 10.7554/eLife.32017.016

Figure 4.

Figure 4—figure supplement 1. Hmx3; tdTOM+/Htr3a-GFP+ cortical interneurons (INs) display a combinatorial expression of NR2F2 and SP8 that is biased toward NR2F2.

Figure 4—figure supplement 1.

(A) Hmx3; tdTOM+/Htr3a-GFP+ INs (A; arrowheads) express significantly (one-way ANOVA; *p<0.05) more NR2F2 alone and less SP8 alone as compared to Htr3a-GFP+ INs negative for Hmx3; tdTOM (A; open arrowheads). Scale bar: 100 µm in A.

We next examined whether Hmx3; tdTOM+/Htr3a-GFP+ INs expressed classical CGE markers such as reelin, NPY and VIP (Lee et al., 2010; Murthy et al., 2014; Vucurovic et al., 2010). Quantification across layers revealed that a large fraction of Hmx3; tdTOM+/Htr3a-GFP+ INs expressed reelin or NPY. This was particularly striking in layer 1 (L1) for reelin (Figure 5A,C) and in L2–6 for NPY (Figure 5B,E), respectively (Figure 5—source data 1). Overall, Hmx3; tdTOM+/Htr3a-GFP+ INs accounted for approximately a third of all reelin+/Htr3a-GFP+ INs (34.5 ± 2.3%; 267/797 cells) and of all NPY+/Htr3a-GFP+ INs (27.7 ± 2.3%; 149/571 cells) (Figure 5D,F, Figure 5—source data 1). Given that INs expressing reelin have been shown to co-express NPY (Lee et al., 2010), we assessed reelin and NPY co-expression in Hmx3; tdTOM+/Htr3a-GFP+ cells. At P21, only a small fraction (8.0 ± 0.9%; 17/232 cells) of these cells expressed NPY without reelin, thus indicating that reelin labels the largest fraction (66.1 ± 8.6%; 267/398 cells) of Hmx3-derived Htr3a-GFP+ INs (Figure 5G,H, Figure 5—source data 1). In contrast, Hmx3; tdTOM+/Htr3a-GFP+ INs did not co-label nor with the CGE-specific marker VIP (Figure 5I) neither with the MGE-enriched markers SST and PV (Figure 5—figure supplement 1). These results indicate that Hmx3-derived Htr3a-GFP+ INs mainly belong to the reelin but not to the VIP subtypes and account for an important fraction of all reelin+/Htr3a-GFP+ INs.

Figure 5. Hmx3; tdTOM+/Htr3a-GFP+ cortical interneurons (INs) express reelin and NPY but not VIP.

(A–F) Hmx3; tdTOM+/Htr3a-GFP+ INs are stained with the neurochemical markers reelin (A, arrowheads) and NPY (B, arrowheads) as well as Htr3a-GFP+ cells negative for Hmx3; tdTOM (open arrowheads). Note that reelin-positive Hmx3; tdTOM+/Htr3a-GFP+ INs are preferentially found in L1-3 (C) whereas NPY-expressing Hmx3; tdTOM+/Htr3a-GFP+ INs are mainly found in L2-6 (E). Hmx3; tdTOM+/Htr3a-GFP+ INs account for more than one third of all reelin-positive Htr3a-GFP+ (D) and of all NPY-positive Htr3a-GFP+ cells (F). (G–H) Hmx3; tdTOM+/Htr3a-GFP+ INs mainly express reelin (G, arrowheads) or reelin and NPY (G, open arrowheads) but to a smaller extend only NPY (G, arrow). (I) Hmx3; tdTOM+/Htr3a-GFP+ INs do not express VIP (arrowheads), whereas Htr3a-GFP+ INs negative for Hmx3; tdTOM do (open arrowheads). WM: white matter. Scale bars: 100 µm in A, B: low magnified images; 50 µm in A, B: high magnified images, G, I.

Figure 5—source data 1. Detailed counts of cells quantified in Figure 5 in the different experimental conditions.
DOI: 10.7554/eLife.32017.019

Figure 5.

Figure 5—figure supplement 1. Hmx3; tdTOM+/Htr3a-GFP+ do not express MGE-enriched markers.

Figure 5—figure supplement 1.

(A–B) Hmx3; tdTOM+/Htr3a-GFP+ cells do not express the neurochemical markers somatostatin (SST) (A, arrowheads) and parvalbumin (PV) (B, arrowheads). WM: white matter. Scale bars: 100 µm in A, B: low magnified images; 50 µm in A, B: high magnified images.

Two distinct profiles of reelin-expressing INs have been identified in L1 of the neocortex, namely neurogliaform (NGCs) and single bouquet-like cells (SBCs) (Cadwell et al., 2016; Jiang et al., 2015). At a molecular level, NGCs are strongly enriched in the carbonic anhydrase 4 (Car4) transcript in contrast to SBCs (Cadwell et al., 2016). Using single-molecule fluorescent in situ hybridization experiments (Wang et al., 2012), we found that Hmx3; tdTOM+/Htr3a-GFP+ INs in L1 exhibited significantly higher levels of Car4 transcripts in contrast to Htr3a-GFP+ INs (Figure 6A, Figure 6—source data 1), thus indicating that Hmx3-derived Htr3a-GFP+ INs share the molecular profile of NGC. To further verify whether their morphological and electrophysiological features could fit with NGCs, we performed whole-cell recordings (Figure 6B) and reconstructions (Figure 6C,D; Figure 6—figure supplement 1) of Hmx3-derived versus non Hmx3-derived Htr3a-GFP+ INs in L1 of the barrel cortex. There, Hmx3; tdTOM+/Htr3a-GFP+ INs displayed the characteristic morphology of elongated NGCs with dense axonal ramifications mostly restricted to L1 (Figure 6C, Figure 6—figure supplement 1), whereas Htr3a-GFP+ INs negative for tdTOM had the morphology of SBCs with less developed axonal processes that extended deeper in cortical layers (Figure 6D). With regard to their first action potential (AP) at rheobase, NGCs are reported to display a type 1 profile with only an after-hyperpolarization potential (AHP), whereas SBCs show a type 2 profile consisting of an AHP followed by an after-depolarization potential (ADP) (Cadwell et al., 2016; Jiang et al., 2015). Strikingly, all (29 out of 29) recorded Hmx3; tdTOM+/Htr3a-GFP+ INs were of type 1, thus confirming their NGC identity. Moreover, the vast majority of them (23 out of 29) were of type 1A with a deep and wide AHP and only a few (6 out of 29) were of type 1B with a shallow and narrow AHP (Figure 6E, left, Figure 6—source data 2). Htr3a-GFP+ INs negative for Hmx3; tdTOM had more variable profiles, but the majority of them (24 out of 28) were displaying a type two profile with an average ADP amplitude of 2.30 ± 0.51 mV, suggesting that they were SBCs. Most of them (20 out of 28) were of type 2B with a small ADP below the spike threshold, a few others (4 out of 28) were of type 2A with a big ADP above the spike threshold (Figure 6E, right, Figure 6—source data 2) and another few of them (4 out of 28) had not measurable ADP (not shown). Hmx3; tdTOM+/Htr3a-GFP+ INs showed also a higher tendency to late-spiking when compared to Htr3a-GFP+ INs (Figure 6F, Figure 6—source data 2). Hmx3; tdTOM+/Htr3a-GFP+ INs had bigger AP delay average, but not significantly different from Htr3a-GFP+ INs negative for Hmx3; tdTOM (Figure 6—figure supplement 2C, Figure 6—source data 2). However, the variability of individual cell values was higher for Hmx3; tdTOM+/Htr3a-GFP+ INs, indicating that these cells tend to be more late-spiking, a characteristic of NGCs (Cadwell et al., 2016; Jiang et al., 2015). Alignement of the first APs at rheobase revealed other putative differences between the two groups (Figure 6G, Figure 6—source data 2). After quantification, Hmx3; tdTOM+/Htr3a-GFP+ INs significantly differed from Htr3a-GFP+ INs negative for Hmx3; tdTOM in the first AP amplitude (Peak), AHP amplitude (AHP), membrane resistance (Rm) (Figure 6H, Figure 6—source data 2) and threshold potential (Vthr) (Figure 6—figure supplement 2C). We next aimed to determine whether Hmx3 and non Hmx3-derived Htr3a-GFP+ INs classes in L1 could be predicted from single-cell electrophysiological properties. Using an automatic cell type classifier based on combined electrophysiological measures, we were able to predict the Hmx3-derived class with 80.7% accuracy, with highest weights found on ADP, Peak and AHP but not Vthr (Figure 6I,J; Figure 6—figure supplement 2A,B, Figure 6—source data 2). Finally, we analysed Hmx3; tdTOM+/Htr3a-GFP+ INs in other cortical layers to determine whether they displayed the same NGC characteristics. Similarly to L1 cells, Car4 expression in L2-6 was significantly higher in Hmx3; tdTOM+/Htr3a-GFP+ INs as compared to Htr3a-GFP+ INs negative for tdTOM (Figure 6—figure supplement 3A,B, Figure 6—source data 1). Morphological recovery of Hmx3; tdTOM+/Htr3a-GFP+ INs located in L2–6 revealed that all cells (7 out of 7) had also the characteristic morphology of NGCs (Figure 6—figure supplement 4). Furthermore, characteristic properties of NGC like the tendency to late spiking, the depth of AHP, and the level of Vthr were significantly more pronounced in these cells compared to L1 cells (Figure 6—figure supplement 3C,E). Overall, these data indicate that Htr3a-GFP+ INs displaying the molecular, morphological and electrophysiological properties of NGC INs originate from Hmx3-expressing cells in the embryonic POA (Figure 7, orange), whereas SBCs in layer 1, as well as VIP +INs, are more likely to originate from the CGE (Figure 7, green).

Figure 6. Hmx3; tdTOM+/Htr3a-GFP+ cortical interneurons (INs) in layer 1(L1) display the molecular, morphological and electrophysiological features of neurogliaform cells (NGCs).

(A) RNAscope multiplex fluorescent hybridization for tdTOM, GFP and Car4 transcripts on P30 brains showing that L1 Hmx3; tdTOM+/Htr3a-GFP+ INs express Car4 at significantly higher levels (orange outline) as compared to Htr3a-GFP+ INs negative for tdTOM (green outline) (***p<0.0001; Mann-Whitney test). (B) Example of a L1 Hmx3; tdTOM+/Htr3a-GFP+ cell (arrowhead) or Htr3a-GFP+ INs negative for tdTOM (open arrowheads) checked before patching (left image). Example of a patched Hmx3; tdTOM+/Htr3a-GFP+ IN (middle and right images, arrowhead). (C) Illustrative reconstruction of a Hmx3; tdTOM+/Htr3a-GFP+ IN in L1 displaying the characteristic morphology of an elongated NGC with dense axonal ramifications restricted to L1. (D) Illustrative reconstruction of a Htr3a-GFP+ IN negative for tdTOM in L1 displaying the characteristic morphology of single bouquet-like cell (SBC) with axonal ramifications extending deep into L5. (E) Illustrative traces from recorded Hmx3; tdTOM+/Htr3a-GFP+ INs (orange) and Htr3a-GFP+ INs negative for tdTOM (green), showing the first action potentials (APs) at rheobase and trains of APs at higher current injections. (F) Superimposed single AP traces at rheobase of all Hmx3; tdTOM+/Htr3a-GFP+ INs (orange) and Htr3a-GFP+ INs negative for tdTOM (green). Thick traces correspond to type 1A and type 2A examples in E. (G) Same traces as in (F), aligned to the AP, with a lower time scale. Thin lines are individual cell traces and thick lines are trace averages. The average traces on the right are aligned to the threshold potential (Vthr). (H) Plots of AP peak amplitude (Peak; ***p<0.0001; unpaired t-test), after hyperpolarization potential amplitude (AHP; ***p<0.0001; unpaired t-test) and membrane resistance (Rm; *p=0.0318; Mann-Whitney test) showing significant differences between the two cell types. (I) Absolute linear weights assigned by the classification model trained on all cells with standardized electrophysiological properties. (J) Prediction probabilities estimated by the classifier on the cell left out in the leave-one-out-cross-validation (LOOCV) loop. Cells are ordered on the x-axis by origin and prediction value, and the color code reflect their origin. Cells above the probability threshold 0.5 are more likely to be Hmx3-derived according to the model. Scale bars: 10 µm A; 20 µm in B; 100 µm C, D.

Figure 6—source data 1. Detailed counts of cells expressing Car4 quantified in Figure 6 in the different experimental conditions.
DOI: 10.7554/eLife.32017.025
Figure 6—source data 2. Electrophysiological properties of cells quantified in Figure 6.
DOI: 10.7554/eLife.32017.026

Figure 6.

Figure 6—figure supplement 1. Hmx3; tdTOM+/Htr3a-GFP+ interneurons (INs) in layer 1 (L1) display the characteristic morphology of elongated neurogliaform cells (eNGCs).

Figure 6—figure supplement 1.

Illustrative images confirming location of the cells, morphological reconstructions and electrophysiological traces of Hmx3; tdTOM+/Htr3a-GFP+ INs in L1. All cells have the morphology of eNGCs with dense axonal ramifications mostly restricted to layer 1. One cell (*) was excluded from the analysis of electrophysiological properties due to the presence of two peaks at the first 5 pA increment showing an action potential, but still its biocytin filling was good enough for morphological tracing (bottom right). Scale bars: 100 µm in all brightfield images and reconstructions.

Figure 6—figure supplement 2. Prediction model parameters and electrophysiological features of Hmx3; tdTOM+/Htr3a-GFP+ interneurons (INs) in layer 1.

Figure 6—figure supplement 2.

(A) Density plots of the electrophysiological values as well as of the LOOCV prediction probabilities for Hmx3-derived cells and non Hmx3-derived cells. (B) Receiver operating characteristic (ROC) curve for each electrophysiological property and on prediction probabilities obtained by LOOCV. (C) Significant difference is found between Hmx3-derived cells and non Hmx3-derived cells for threshold potential (Vthr; **p=0.0097; unpaired t-test) but not for delay to the first action potential (Delay; p=0.55; Mann-Whitney test) and resting potential (Vrest; p=0.68; Mann-Whitney test). Afterdepolarization potential (ADP) is0 for all Hmx3-derived cells.

Figure 6—figure supplement 3. Hmx3; tdTOM+/Htr3a-GFP+ interneurons (INs) in cortical layers 2–6 (L2-6) display molecular and electrophysiological properties of NGCs.

Figure 6—figure supplement 3.

(A, B) RNAscope multiplex fluorescent hybridization for tdTOM, GFP and Car4 transcripts on P30 brains showing that Hmx3; tdTOM+/Htr3a-GFP+ INs (red outline) express Car4 at significantly higher levels in L2–4 (A, ***p<0.0001; Mann-Whitney test) and L5/6 (B, ***p<0.0001; Mann-Whitney test) as compared to Htr3a-GFP+ INs negative for tdTOM (green outline). (C) Superimposed single AP traces at rheobase of Hmx3; tdTOM+/Htr3a-GFP+ INs recorded in L1 (orange) and in L2–6 (red). Hmx3; tdTOM+/Htr3a-GFP+ INs from L2–6 exhibit more late-spiking profile. (D) Same traces as in (C), aligned to the AP, in a lower time scale. Thin lines are individual cell traces and thick lines are trace averages. The average traces on the right are aligned to the threshold potential (Vthr). (E) As compared to L1 cells, Hmx3; tdTOM+/Htr3a-GFP+ INs in L2–6 display significant differences in afterhyperpolarization amplitude (AHP; ***p=0.0001; Mann-Whitney test), delay to the first action potential (Delay; *p=0.0202; unpaired t-test) and Vthr (*p=0.0002; unpaired t-test). No significant differences were found between Hmx3; tdTOM+/Htr3a-GFP+ INs in L2–6 and L1 for peak amplitude (Peak; p<0.1058; unpaired t-test), membrane resistance (Rm; p=0.5011; unpaired t-test) and resting potential (Vrest; p=0.7056; unpaired t-test), Scale bars: 10 µm in all.
Figure 6—figure Supplement 3—source data 1. Detailed counts of cells expressing Car4 quantified in Figure 6—figure supplement 3 in the different experimental conditions.
DOI: 10.7554/eLife.32017.027
Figure 6—figure Supplement 3—source data 2. Electrophysiological properties of cells quantified in Figure 6—figure supplement 3.
DOI: 10.7554/eLife.32017.028

Figure 6—figure supplement 4. Hmx3; tdTOM+/Htr3a-GFP+ interneurons (INs) in cortical layers 2–6 (L2-6) display the characteristic morphology of NGCs.

Figure 6—figure supplement 4.

Illustrative images confirming location of the cells, morphological reconstructions and electrophysiological traces of Hmx3; tdTOM+/Htr3a-GFP+ INs in L2–6. All cells have the morphology of NGCs with dense axonal ramifications extending throughout layers. Two cells (*) were excluded from the analysis of electrophysiological properties due to high series resistance, but still their biocytin filling was good enough for morphological tracing (left, upper two panels). Scale bars: 100 µm in all.

Figure 7. Developmental origin of cardinal classes of cortical interneurons.

Figure 7.

The Martinotti somatostatin (SST) cell, the parvalbumin (PV) basket cell and the PV+ chandelier cell originate from NKX2.1+ progenitors of the medial ganglionic eminence (MGE, blue) and rely on the transcription factors (TFs) LHX6 and SOX6. The Htr3a-GFP/reelin (RELN) single-bouquet cell (SBC), the Htr3a-GFP/vasointestinal peptide (VIP)/cholecystokinin (CCK) basket cell and the Htr3a-GFP/VIP/calretinin (CR) bipolar cell are derived from cells located in the caudal ganglionic eminence (CGE, green) that express the TFs PROX1, NR2F2 and SP8. The RELN/Car4/Htr3a-GFP neurogliaform cell (NGC) is specifically derived from Hmx3+ cells located in the preoptic area (POA, orange) and express the TFs PROX1 and NR2F2.

Discussion

Distinct subtypes of local GABAergic INs are required to regulate microcircuit function (Cardin et al., 2009; Fu et al., 2014; Kepecs and Fishell, 2014; Pfeffer et al., 2013; Pi et al., 2013; Pinto and Dan, 2015; Sohal et al., 2009; Zhang et al., 2014). Whether current classifications of cortical IN subtypes relate to intrinsic biological processes such as their developmental specification is a key question in the field (Huang, 2014; Taniguchi et al., 2013). Among cortical INs, NGCs are considered as belonging to a distinct subtype acting as a main effector of a powerful inhibitory motif recruited by long-range connections (Tamás et al., 2003; Craig and McBain, 2014; Palmer et al., 2012). Here we aimed to track the developmental trajectory of NGCs using genetic fate mapping strategies. We find that NGCs derive from Htr3a-GFP+/Hmx3+ cells located in the embryonic POA, but not from Dbx1+ cells. Strikingly, L1 Hmx3-derived Htr3a-GFP+ INs display the distinct molecular, morphological and electrophysiological properties of NGCs, whereas Htr3a-GFP+ INs negative for Hmx3 have the profile of SBCs (Cadwell et al., 2016). Hmx3-derived Htr3a-GFP+ NGCs represent about a third of reelin-expressing Htr3a-GFP+ INs. At a molecular level, Hmx3; tdTOM+/Htr3a-GFP+ NGCs express CGE-related TFs such as NR2F2 and PROX1, indicating that they share common features with CGE-derived INs. Overall, these results indicate that cortical NGCs derive from a discrete embryonic area located in the subpallial POA and that their specification is linked to the expression of the TF Hmx3.

Htr3a-GFP+ INs derived from Hmx3+ cells express CGE-enriched transcription factors

Here, we find that a fraction (about 15%) of Htr3a-GFP+ cortical INs originate from Hmx3+ but not Dbx1+ cells in the POA. The overall fraction of Hmx3; tdTOM+/Htr3a-GFP+ INs to the total Htr3a-GFP+ IN population in the cortex almost doubled from P9 to P21, a period during which neural migration is largely achieved. Given that about 40% of developing cortical INs undergo apoptosis during early postnatal life (Southwell et al., 2012) higher levels of programmed cell death in Htr3a-GFP+ INs negative for tdTOM could thus account for the relative postnatal increase in the cortical Hmx3; tdTOM+/Htr3a-GFP+ cell population. Overall, our data support the general view that the differential expression of TFs in progenitor cells originating from distinct subpallial germinal zones controls the specification of cortical IN subtypes (Huang, 2014; Kessaris et al., 2014; Anastasiades and Butt, 2011; Flames et al., 2007; Gelman et al., 2009). A striking example in the field relates to chandelier INs, which have been shown to derive from Nkx2.1+ cells produced specifically at late embryonic time-points in a restricted region of the MGE (Taniguchi et al., 2013). Three major germinal zones contribute to the generation of cortical INs, including the MGE, the CGE and the POA (Kessaris et al., 2014). The majority of cortical IN subtypes (about 60–70%) originates from Nkx2.1+ progenitors in the MGE and includes fast-spiking PV+ basket INs, chandelier cells and SST+ Martinotti cells. In addition to NKX2.1, sequential expression of the TFs such as LHX6 (Anastasiades and Butt, 2011; Du et al., 2008; Liodis et al., 2007) and SOX6 (Azim et al., 2009; Batista-Brito et al., 2009) controls the specification and migration of MGE-derived IN subtypes. Here we find that Htr3a-GFP+ cortical INs originating from Hmx3+ cells in the POA do not express MGE-enriched TFs such as LHX6 or SOX6. In the embryonic POA, we observe that only a small fraction of Hmx3; tdTOM+/Htr3a-GFP+ cells expresses the TF NKX2.1, which has been shown to be strongly expressed in the ventricular zone of the POA (Flames et al., 2007). This could be due to either down-regulation of NKX2.1 in postmitotic Hmx3; tdTOM+/Htr3a-GFP+ cells as previously observed in migrating MGE-derived INs (Nóbrega-Pereira et al., 2008) or to the fact that the majority of Hmx3; tdTOM+/Htr3a-GFP+ cells do not originate from NKX2.1 progenitors. In line with this second possibility, recent genetic fate-mapping experiments using a Nkx2.1-ires-Flpo knock-in mouse line did not appear to label INs in L1 (He et al., 2016). Overall, further work needs to be done to clarify the precise origin of mitotic cells giving rise to the pool of Hmx3; tdTOM+/Htr3a-GFP+ cells observed in the embryonic POA. In contrast to the absence of co-localization with MGE-enriched TFs, we find that Hmx3; tdTOM+/Htr3a-GFP+ INs express TFs such as PROX1 and NR2F2 in the embryonic POA and in the postnatal cortex. PROX1 and NR2F2 have been shown to be expressed in CGE cells and these TFs are maintained in subsets of cortical INs as they mature in the developing cortex (Cai et al., 2013; Ma et al., 2012; Rubin and Kessaris, 2013; Murthy et al., 2014; Kanatani et al., 2008). Our results thus indicate that the specification of Hmx3-derived and CGE-derived Htr3a-GFP+ INs shares common transcriptional controls and that the expression of Hmx3 in a fraction of Htr3a-GFP+ defines the distinct subtype of NGCs. To gain insights on the requirement of Hmx3 in the specification of Hmx3-derived Htr3a-GFP+ NGCs, cell-type specific genetic deletion strategies are needed. Finally, the molecular pathways specifically controlled by Hmx3 in NGCs remain to be identified.

Htr3a-GFP+ INs derived from Hmx3+ cells express CGE but not MGE-enriched neurochemical markers

MGE-derived INs express the neurochemical markers PV or SST and are preferentially distributed in lower cortical layers, whereas CGE-derived INs specifically express the 5-HT3AR, but not PV or SST, and populate more superficial cortical layers (Fishell and Rudy, 2011; Huang, 2014; Rudy et al., 2011). Using in situ hybridization, we confirmed that Hmx3+ lineage give rise to superficial cortical Htr3a-GFP+ INs expressing the Htr3a transcript. Reelin, VIP and NPY have been used as neurochemical markers to identify different subtypes of Htr3a-GFP+ cortical INs (Lee et al., 2010; Murthy et al., 2014; Vucurovic et al., 2010). Expressions of reelin and VIP are mutually exclusive in Htr3a-GFP+ INs, whereas a fraction of them is found to co-express reelin and NPY (Lee et al., 2010). Using these markers, we find that Hmx3; tdTOM+/Htr3a-GFP+ INs express reelin and/or NPY, but not VIP, PV or SST. This is in line with previous results showing that Hmx3+ INs express NPY and not VIP, PV or SST (Gelman et al., 2009). Finally, we find that cortical INs from the Dbx1+ domain express the MGE-enriched markers PV or SST and only rarely co-label with Htr3a-GFP+ INs. In addition, Dbx1-derived cortical INs express the MGE-related TFs SOX6 and LHX6 but not the CGE-enriched TF PROX1. Taken together, our findings thus indicate that Hmx3+ but not Dbx1+ cells give rise to a subpopulation of cortical Htr3a-GFP+ INs, which share molecular similarities with CGE but not MGE-derived INs. However, given that both Hmx3+ and Hmx3- Htr3a-GFP+ INs express reelin and/or NPY, these classical neurochemical markers are not sufficient to segregate Hmx3- and non-Hmx3- derived Htr3a-GFP+ IN subtypes.

Hmx3-derived Htr3a-GFP+ INs display the molecular, morphological and electrophysiological properties of NGCs

Electrophysiological recordings obtained from Htr3a-GFP+ INs revealed the existence of many different subtypes of INs (Lee et al., 2010). Recently, electrophysiological and morphological characterization of L1 INs combined to single-cell transcriptomics delineated two main types of INs, namely NGCs and SBCs (Cadwell et al., 2016). Our findings support this observation and indicate that Hmx3-derived Htr3a-GFP+ INs exhibit the morphological and electrophysiological signature of NGCs and strongly express Car4, a transcript present at high level in NGCs, but not in SBCs. In contrast, Htr3a-GFP+ INs in L1 that do not derive from Hmx3+ cells, have low levels of Car4 and display the electrophysiological profile of SBCs. These results indicate that Htr3a-GFP+ cortical INs in L1 can be subdivided in two major groups characterized by distinct intrinsic properties and that these subgroups are determined by their sites of origin and the differential expression of the TF Hmx3. Finally, we show that all Hmx3; tdTOM+/Htr3a-GFP+ INs analysed in deeper cortical layers also display molecular, morphological and electrophysiological profiles of NGCs, indicating that the Hmx3-Cre line labels NGCs across neocortical layers. In vivo studies of the canonical cortical microcircuit have mainly relied on the use of the mutually exclusive SST-, PV- and VIP-Cre driver lines (Cardin et al., 2009; Fu et al., 2014; Kepecs and Fishell, 2014; Pfeffer et al., 2013; Pi et al., 2013; Pinto and Dan, 2015; Sohal et al., 2009; Zhang et al., 2014) but they do not give access to NGCs. These cells are the main source of ‘slow’ GABAB-receptor mediated inhibition in the neocortex (Tamás et al., 2003) and are thought to constitute the core cellular component of a canonical inhibitory circuit in L1 (Craig and McBain, 2014). NGCs acts through GABAB-receptors to inhibit the activity of projection neurons and halt ongoing network activity through dendritic calcium channels (Craig and McBain, 2014). Long-range interhemispheric inhibition has been shown to be mediated through a GABAB-receptor dependent mechanism and it has been proposed that this process requires the recruitment of L1 cortical INs, possibly of the neurogliaform-type (Craig and McBain, 2014; Palmer et al., 2012). However, given the diversity of L1 cortical INs (Cadwell et al., 2016; Jiang et al., 2013) and the lack of molecular tools to specifically target NGCs in vivo, it has so far not been possible to manipulate and interrogate exclusively NGCs in cortical networks. Our findings redefine the Hmx3-Cre mice as a valuable tool to specifically investigate the functional contribution of NGCs in the cortical microcircuit motif.

Materials and methods

Key resources table.

Reagent type
(species) or
resource
Designation Source or reference Identifiers Additional information
Strain, strain background (Mus Musculus) Tg(Htr3a-EGFP)DH30Gsat (referred as Htr3a-GFP) GENSAT Consortium MGI:3846657 Maintained on a C57Bl/6 background
Strain, strain background (Mus Musculus) B6.Cg-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J (referred as R26R-tdTOMfl/fl) The Jackson Laboratory MGI:104735 Maintained on a C57Bl/6 background
Strain, strain background (Mus Musculus) Tg(Hmx3-icre)1Kess provided by Oscar Marin MGI:5566775 Maintained on a C57Bl/6 background
Strain, strain background (Mus Musculus) Dbx1tm2(cre)Apie (referred as Dbx1-Cre) provided by Alessandra Pierani MGI:3757955 Maintained on a C57Bl/6 background
Antibody Anti-GFAP, rabbit polyclonal Abcam, United Kingdom ab7260 (1:2000)
Antibody Anti-GFP, rabbit polyclonal Millipore, Germany AB3080 (1:500)
Antibody Anti-GFP, goat polyclonal Abcam ab5450 (1:2000)
Antibody Anti-NeuN (clone A60), mouse monoclonal Millipore MAB377 (1:500)
Antibody Anti-NKX2.1 (H-190), rabbit polyclonal Santa Cruz Biotechnology, Dallas, TX sc-13040 (1:100)
Antibody Anti-NPY, rabbit polyconal Abcam ab10980 (1:500)
Antibody Anti-NR2F2, rabbit polyclonal Abcam ab42672 (1:500) antigen retrieval (Citrate buffer pH 6.0; 85°C; 20 min)
Antibody Anti-PROX1, goat polyclonal R&D System,Minneapolis, MN AF2727 (1:250)
Antibody Anti-PV, mouse monoclonal Swant, Switzerland PV235 (1:2000)
Antibody Anti-Reelin, mouse monoclonal Abcam ab78540 (1:500)
Antibody Anti-S100β, rabbit polyclonal Abcam ab41548 (1:2000)
Antibody Anti-SST, rat monoclonal Millipore MAB354 (1:500)
Antibody Anti-SOX6, rabbit polyclonal Abcam ab30455 (1:500)
Antibody Anti-SOX10 (N-20), goat polyclonal Santa Cruz Biotechnology sc-17343 (1:100)
Antibody Anti-SP8 (C-18), goat polyclonal Santa Cruz Biotechnology sc-104661 (1:50) antigen retrieval (Citrate buffer pH 6.0; 85°C; 20 min)
Antibody Anti-tdTOM, goat polyclonal Sicgen, Portugal AB8181-200 (1:500)
Antibody Anti-VIP, rabbit polyclonal Abcam ab22736 (1:500) ASCF perfusion; 2 hr PFA 4% postfixation
Antibody Donkey anti-rabbit Alexa
Fluor488
Invitrogen, Carlsbad, CA A21206 (1:500)
Antibody Donkey anti-goat Alexa
Fluor488
Invitrogen A11055 (1:500)
Antibody Donkey anti-goat Alexa
Fluor405
Abcam ab175664 (1:500)
Antibody Donkey anti-rabbit Alexa
Fluor405
Abcam ab175651 (1:500)
Antibody Donkey anti-rabbit Alexa Fluor647 Invitrogen A31573 (1:500)
Antibody Donkey anti-rat Alexa Fluor647 Invitrogen A21247 (1:500)
Antibody Donkey anti-mouse Alexa Fluor647 Invitrogen A31571 (1:500)
Antibody Donkey anti-goat Alexa Fluor647 Invitrogen A21447 (1:500)
Antibody Streptavidin, Alexa Fluor647-conjugated ThermoFisher/Invitrogen S21374 (1:500)
Antibody Anti-Digoxigenin-AP, Fab fragment Roche, Switzerland 11082736103 (1:2000)
Recombinant DNA reagent Htr3a plasmid probe Gift from Dr. B. Emerit NA Linearization: HindIII-HF; antisense synthesis: T7; concentration 1 µg
Recombinant DNA reagent Lhx6 plasmid probe Gift from Dr. M. Denaxa NA Linearization: Not1; antisense synthesis: T3; concentration 1 µg
Recombinant DNA reagent RNAScope Probe-tdTomato-C2 Affimetrix, Santa Clara, CA 317041-C2
Recombinant DNA reagent RNAScope Probe-EGFP Affimetrix 400281
Recombinant DNA reagent RNAScope Probe-Car4-C3 Affimetrix 468421-C3
Sequence-based reagent Genotyping PCR primer forB6.Cg-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J Microsynth, Switzerland
(desalted;100 µM stock)
WT-F (oIMR9020): AAG GGA GCT GCA GTG GAG TA https://www2.jax.org/protocolsdb/f?p=116:5:0::NO:5:P5_MASTER_PROTOCOL_ID,P5_JRS_CODE:29436,007909
Sequence-based reagent Genotyping PCR primer forB6.Cg-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J Microsynth (desalted;100 µM stock) WT-R (oIMR9021): CCG AAA ATC TGT GGG AAG TC
Sequence-based reagent Genotyping PCR primer forB6.Cg-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J Microsynth (desalted;100 µM stock) Mut-R (oIMR9103): GGC ATT AAA GCA GCG TAT CC
Sequence-based reagent Genotyping PCR primer forB6.Cg-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J Microsynth (desalted;100 µM stock) Mut-F (oIMR9105): CTG TTC CTG TAC GGC ATG G
Sequence-based reagent Genotyping PCR primer for Tg(Htr3a-EGFP)DH30Gsat Microsynth (desalted;100 µM stock) Com-F (273): GCA AGA TGT GAC CAA GCC ACC TAT TT http://www.med.unc.edu/mmrrc/resources/genotyping-protocols/mmrrc-273
Sequence-based reagent Genotyping PCR primer for Tg(Htr3a-EGFP)DH30Gsat Microsynth (desalted; 100 µM stock) WT-R: CAG CCC TCA GCC CTT TGA GAC TTA AG
Sequence-based reagent Genotyping PCR primer for Tg(Htr3a-EGFP)DH30Gsat Microsynth (desalted; 100 µM stock) Mut-R: TGA ACT TGT GGC CGT TTA CGT CG
Sequence-based reagent Genotyping PCR primer forTg(Hmx3-icre)1Kess Microsynth (desalted;100 µM stock) Mut-F: CTC TGA CAG ATG CCA GGA CA
Sequence-based reagent Genotyping PCR primer forTg(Hmx3-icre)1Kess Microsynth (desalted;100 µM stock) Mut-R: TCT CTG CCC AGA GTC ATC CT
Sequence-based reagent Genotyping PCR primer forDbx1tm2(cre)Apie Microsynth (desalted;100 µM stock) WT-F (1307): GCA AGG AAA TGT CTC TGG GAC https://www.infrafrontier.eu/sites/infrafrontier.eu/files/upload/public/pdf/genotype_protocols/EM01924_geno.pdf
Sequence-based reagent Genotyping PCR primer forDbx1tm2(cre)Apie Microsynth (desalted;100 µM stock) WT-R (1115): GAG GAT GAG GAA ATC ACG GTG
Sequence-based reagent Genotyping PCR primer forDbx1tm2(cre)Apie Microsynth (desalted;100 µM stock) Mut-F (cre83): GTC CAA TTT ACT GAC CGT ACA CC
Sequence-based reagent Genotyping PCR primer forDbx1tm2(cre)Apie Microsynth (desalted;100 µM stock) Mut-R (cre85): GTT ATT CGG ATC ATC AGC TAC ACC
Commercial assay or kit VECTASTAIN Elite ABC-HRP Kit VectorLab, Burlingame, CA PK-6100 Manufacturer's protocol
Commercial assay or kit DAB Peroxidase (HRP) Substrate Kit (with Nickel), 3,3’-diaminobenzidine VectorLab SK-4100 Manufacturer's protocol
Commercial assay or kit RNAscope Fluorescence Multiplex Reagent Kit Advanced Cell Diagnostics, Newark, CA 320850 Manufacturer's protocol (fresh frozen tissue)
Chemical compound, drug Nε-(+)-Biotinyl-L-lysine (biocytin) Sigma Aldrich, Germany B4261 Used at 8.1 mM
Chemical compound, drug Fast Red tablets Kem-En-Tech, Denmark 4210 Manufacturer's protocol
Chemical compound, drug Hoechst 33258 Sigma Aldrich 23491-45-4 (1:10000)
Chemical compound, drug Thiopental Inresa 0.5 g Inresa Arzneimittel GmbH, Germany Used at 50 mg/kg
Software, algorithm Microsoft Office 2017 (Excel, Word) © 2017 Microsoft, Redmond, WA v.16.9.1 Manuscript editing
Software, algorithm Adobe Suit CC (Photoshop, Illustrator, Acrobat) Adobe Systems, San José, CA v.22.0.1 Image treatment, figure editing
Software, algorithm GraphPad Prism GraphPad software, Inc., La Jolla, CA v.7.0 Statistics, graph editing
Software, algorithm Fiji doi:10.1038/nmeth.2019 v.2.0.0 Image editing, manual counting
Software, algorithm EndNote X Thomson Reuters, Canada v.7.7.1 Reference editing, bibliography
Software, algorithm Neurolucida v.11.02.1 Microbrightfield, MBF Bioscience, Williston, VT v.11.02.1 Neuron reconstruction
Software, algorithm Neurolucida Explorer Microbrightfield, MBF Bioscience v.11.02.1 Morphological reconstruction editing
Software, algorithm MatLab MathWorks, Natick, MA Electrophysiological recordings measurment/editing
Software, algorithm Ephus (MATLAB-based) doi: 10.3389/fncir.2010.00100 v. 2.1.0 Electrophysiological recordings data aquisition
Software, algorithm Clampfit Molecular Devices, San José, CA v. 10.1.0.10 Electrophysiological recordings offline analysis
Software, algorithm R programming language www.R-project.org v. 3.4.0 Statistics
Software, algorithm R package bmrm doi:10.1038/ncomms14219 v. 3.5 Prediction model
Software, algorithm NLMorpholoyConverter http://neuronland.org/NLMorphologyConverter/NLMorphologyConverter.html v. 0.8.1 Morphological reconstruction editing
Software, algorithm R package NeuroAnatomy Toolbox doi: 10.1016/j.neuron.2016.06.012 v. 1.8.12.9000 Morphological reconstruction editing

Animals

Animal experiments were approved by the local Geneva animal care committee (GE113/16) and conducted according to international and Swiss guidelines. Mice were housed in the conventional area of the animal facility of the Geneva Medical Center. Water and food were provided ad libitum and both temperature (22 ± 2°C) and dark/light cycles (12 hr each) were controlled. Timed-pregnant mice were obtained by overnight mating and the following morning was counted as embryonic day (E) E0.5. Tg(Htr3a-EGFP)DH30Gsat mice expressing the enhanced GFP under the control of the Htr3a regulatory sequences (Htr3a-GFP) were provided by the GENSAT Consortium and maintained on a C57Bl/6 background (Murthy et al., 2014). B6.Cg-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J loxP flanked reporter mice (R26R-tdTOMfl/fl) were obtained from Jackson Laboratory. Htr3a-GFP mice were crossed with R26R-tdTOMfl/fl mice to obtain Htr3a-GFP; R26R-tdTOMfl/fl mice. Tg(Hmx3-icre)1Kess (Hmx3-Cre) mice were obtained from Oscar Marin and previously described (Gelman et al., 2009). Dbx1tm2(cre)Apie (Dbx1-Cre) mice were obtained from Alessandra Pierani and previously described (Gelman et al., 2011). Details of the genotyping procedure are given in the Key Resources Table.

Tissue processing and immunohistochemistry

Pregnant females were euthanized by lethal intraperitoneal (i.p.) injection of pentobarbital (50 mg/kg), embryos were collected by caesarian cut and brains dissected and fixed overnight (O.N.) in cold 4% paraformaldehyde dissolved in 0.1M phosphate buffer (PFA) pH 7.4. For postnatal brains, animals were deeply anesthetized by i.p. injection of pentobarbital and transcardially perfused with 0.9% saline/liquemin followed by cold 4% PFA. Brains were cut on a Vibratome (Leica VT1000S) at 60 µm for immunohistochemistry (IHC) or at 80–100 µm for free-floating in situ hybridization (ISH). Sections were kept in a cryoprotective solution at −20°C or processed directly for IHC or ISH as described (Murthy et al., 2014). The following primary antibodies were used: rabbit anti-GFAP (1:2000, Abcam), goat anti-GFP (1:2000, Abcam), rabbit anti-GFP (1:500, Millipore), mouse anti-NeuN (1:500, Millipore), rabbit anti-NKX2.1 (1:100, Santa Cruz Biotechnology), rabbit anti-NPY (1:500, Abcam), rabbit anti-NR2F2 (1:500, Abcam), goat anti-PROX1 (1:250, R and D System), mouse anti-Parvalbumin (PV) (1:2000, Swant), mouse anti-Reelin (1:500, Abcam), rabbit anti-S100β (1:2000, Abcam), rat anti-Somatostatin (SST) (1:500, Millipore), rabbit anti-SOX6 (1:500, Abcam), goat anti-SOX10 (1:100, Santa Cruz Biotechnology), goat anti-SP8 (1:50, Santa Cruz Biotechnology), goat anti-tdTomato (tdTOM) (1:500, Sicgen), rabbit anti-VIP (1:500, Abcam). Secondary goat or donkey Alexa-405,–488, −568 and −647 antibodies (Abcam, Invitrogen) raised against the appropriate species were used at a dilution of 1:500 and sections were counterstained with Hoechst 33258 (1:10000) when no Alexa-405 staining was done. A list of the antibodies is given in the Key Resources Table.

In situ hybridization and RNAscope

Sections were hybridized with the respective DIG-labeled RNA probes as described previously (Murthy et al., 2014). The Htr3a plasmid probe was linearized with HindIII-HF for antisense RNA probe synthesis by T7 polymerase (kind gift from Dr. B. Emerit). The Lhx6 plasmid probe (Liodis et al., 2007) was linearized with Not1 for antisense RNA probe synthesis by T3 polymerase (kind gift from Dr. M. Denaxa). The unbound probe was washed and slices incubated with alkaline phosphatase-conjugated anti-DIG antibody (1:2000, Roche) O.N. at 4°C. Fast Red (Kem-En-Tech) was used as an alkaline phosphatase fluorescent substrate to reveal the hybridized probe. We took advantage of the removal of both GFP and tdTOM endogenous fluorescence due to protocol treatments and revealed them by IHC using green and far-red emitting secondary antibodies, respectively. For illustration purposes, the bound probe (red) and the tdTOM (far red) are shown in blue and red, respectively. For RNAscope experiments, P30 brains were rapidly extracted and fresh frozen. After dehydration and protease treatment, coronal 12 µm-thick brain sections were processed using the RNAscope Multiplex Fluorescent Reagent Kit (Advanced Cell Diagnostics) according to the manufacturer’s protocol. Probes targeting mRNAs of the GFP and tdTOM transgenes and of the endogenous Car4 gene were designed by Advanced Cell Diagnostics.

Imaging and quantification of interneuron identity and distribution

Images were acquired using confocal microscopes (Nikon A1R or Axio Imager.Z2 Basis LSM 800) equipped with oil-immersion 40x, 60x and 63x objectives (CFI Plan Fluor 40x/1.3 and CFI Plan Apo VC H 60x/1.4, Nikon or Plan-APO (UV) VIS-IR 40x/1.4 and Plan-Apochromat f/ELYRA 63x/1.4, LSM). For widefield illustrations (Figure 2—figure supplement 1), images were taken with Axioscan.Z1 slidescanner (Zeiss), equipped with Plan-Apochromat 10x/0.45 objective (Zeiss). Images were lightly treated (gamma, brightness and and despeckle filter only) for visual purpose with Photoshop CC and manual counts were achieved with Fiji. Data are presented as brain averages calculated from at least three slices at different rostro-caudal levels per brain (except for P5 Dbx1 brain 3). A detailed description of the counts, cells and brains in the different experiments is given in Supplementary file 1.

Electrophysiological recordings and morphological tracing

300 µm-thick coronal brain slices were prepared from 3 to 4 weeks old Hmx3; tdTOM+/Htr3a-GFP+ mice with a vibratome (Leica VT 1000S). In the recording chamber, slices were continuously superfused with ACSF (32°C) containing (in mM): NaCl (119), KCl (2.5), CaCl2 (2.5), MgSO4 (1.3), NaH2PO4 (1.0), NaHCO3 (26.2), and glucose (22), and equilibrated with 95% O2/5% CO2, pH 7.4. Whole-cell recordings were obtained from visually identified Hmx3; tdTOM+/Htr3a-GFP+ in cortical layers 1–6 and Hmx3; tdTOM-/Htr3a-GFP+ INs in L1, using an upright microscope (Zeiss Axioskop FS) equipped with differential interference contrast and standard epifluorescence. Borosilicate glass patch pipettes had a resistance of 5–6 MΩ when filled with an internal solution containing (in mM): K gluconate (135), KCl (4), HEPES (10), Phosphocreatine (10), Mg-ATP (4), Na-GTP (0.3), and biocytin (8.1). Current clamp recordings were performed at rest and firing properties were studied by delivering consecutive current pulses, 500 ms duration each, ranging from −20 to +360 pA with a 5 pA increment, every 3 s. Data were acquired using a Multiclamp 700B Amplifier (Molecular Devices), and digitized at 10 kHz (National Instruments), using MATLAB (MathWorks)-based Ephus software (Ephus; The Janelia Farm Research Center). Offline analysis was performed using Clampfit (Version 10.1.0.10, Molecular Devices). Cells were accepted for analysis only if their series resistance was below 30 MΩ and did not change more than 20% during recordings. Following patch-clamp recordings, slices were incubated in ACSF for 1–2 hr at room temperature, then fixed overnight with 4% PFA / 2% Glutaraldehyde in 0.1 M phosphate buffer. Biocytin-filled recorded cells were revealed with IHC, using streptavidin-Alexa 647 conjugate (1:500, Thermo Fisher Scientific), and confirmed being in L1 and expressing Hmx3; tdTOM and/or Htr3a-GFP. For detailed morphology, slices were quenched for endogenous peroxidase activity in methanol/0.5% H202, blocked in 0.05 M Tris buffer pH 7.4/0.6% NaCl/0.3% Triton X-100/10% normal horse serum (NHS) and incubated (O.N., 4°C) with avidin-biotin complex (Vectastain Elite ABC-HRP Kit) in 0.1M Tris buffer pH 7.7. 3,3’-diaminobenzidine (DAB) revelation was performed following the manufacturer’s protocol (Vectastain DAB Kit; SK-4100). Slices were finally dehydrated in graded series of ethanol/xylene and mounted in Eukitt (Sigma). Morphological reconstructions of biocytin-filled cells were performed with Neurolucida software (v. 11.02.1, MBF Bioscience, Microbrightfield), linked to a microscope (Nikon eclipse 80i) equipped with an oil-immersion 100x objective (Plan Apo VC/1.4, Nikon). Brightfield images of the reconstructed cells were acquired with the same microscope and a 10x objective (Plan Apo/0.45, Nikon). Traces were extracted with Neurolucida Explorer (v.11.02.1, MBF Bioscience, Microbrightfield). 14 Hmx3; tdTOM+/Htr3a-GFP+ cells (7 in L1, 5 cells in L2/3 and 2 cells in L5) and 3 Hmx3; tdTOM-/Htr3a-GFP+ INs (3 in L1) from four brains were recovered for morphology. For L1 cells, border artefacts in morphological tracings due to tissue compression were corrected. Traces from 14 Hmx3; tdTOM+/Htr3a-GFP+ and 3 Hmx3; tdTOM-/Htr3a-GFP+ INs from four brains were analysed blindly. The membrane resistance (Rm), the membrane resting potential and five properties of the first action potential (AP) at rheobase - i) threshold potential (Vth); ii) AP amplitude (peak); iii) AP latency from current step onset (delay); iv) after-hyperpolarization potential amplitude (AHP) and when present; v) after-depolarization potential amplitude (ADP) - were measured for all recorded cells. Both electrophysiological features and morphological tracings were analyzed blindly and data were attributed back to their corresponding cell. Values for each recorded cell are provided in Figure 6—source data 2 and Figure 6—figure Supplement 3—source data 1.

Statistical analysis and prediction model

Animals were used regardless of their sex and statistical analysis was done with R programming language and GraphPad Prism. No statistics were used to determine optimal group sample size; however, sample sizes were similar to those used in previous publications from our group and others. Normality of the samples was assessed with D’Agostino-Pearson test and when distribution was not normal, non-parametric tests were applied. Using bmrm (v3.3) package for L1-regularized logistic regression model, data were standardized, and a L1-regularized logistic regression model was trained to distinguish between Htr3a-GFP+ INs that were Hmx3-derived and those which were not. This model assigned a linear weight that reflects the power of each feature in the model logistic regression and computed a probability that a given cell is Hmx3-derived in such a way that the misclassification error on the training data was minimized (Figure 6I–J). Classification performance of the L1-regularized logistic regression algorithm was assessed by leave-one-out-cross-validation (LOOCV). It consists in training a model on all but one cell, feeding the model with this isolated cell to predict its origin and finally assessing if the prediction is correct. Looping it over all cells, yields a prediction value for each cell, which is used to estimate the generalization error of the classifier. Finally, in order to determine if the prediction made by the logistic regression model improved over the signal contained into each feature taken individually, receiver operating characteristic (ROC) curves were drawn to visualize the sensitivity/specificity ratio for each feature and for the leave-one-out predictions. Areas under the curves (AUC) were analyzed to determine the strongest signals (Figure 6—figure supplement 2, Figure 6—source data 2).

Acknowledgements

We thank Oscar Marin and Nicoletta Kessaris for providing the Hmx3-Cre mice and Alessandra Pierani for providing the Dbx1-Cre mice. This work was supported by a Swiss National Foundation (SNF) Synapsy grant (51NF40-158776) and a SNF (31003A_155896/1) grant for AD.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Alexandre Dayer, Email: alexandre.dayer@unige.ch.

Joseph G Gleeson, Howard Hughes Medical Institute, The Rockefeller University, United States.

Funding Information

This paper was supported by the following grants:

  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Synapsy 51NF40-158776; 31003A_153448 and CRSII3_154453 to Anthony Holtmaat.

  • International Foundation for Research in Paraplegia Chair Alain Rossier to Anthony Holtmaat.

  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Synapsy 51NF40-158776 and 31003A_155896/1 to Alexandre Dayer.

Additional information

Competing interests

No competing interests declared.

Author contributions

Data curation, Formal analysis, Investigation, Writing—review and editing.

Data curation, Formal analysis, Investigation, Writing—review and editing.

Formal analysis, Investigation, Writing—review and editing.

Data curation, Formal analysis, Writing—review and editing.

Supervision, Funding acquisition, Validation, Methodology, Writing—review and editing.

Conceptualization, Supervision, Funding acquisition, Validation, Investigation, Methodology, Writing—original draft, Administration, Writing—review and editing.

Ethics

Animal experimentation: Animal experiments were approved by the local Geneva animal care committee and conducted according to international and Swiss guidelines.(GE113/16).

Additional files

Supplementary file 1. Detailed description of the technical (brains) and biological (cells) replicates used in the different experiments.
elife-32017-supp1.docx (21.6KB, docx)
DOI: 10.7554/eLife.32017.030
Transparent reporting form
DOI: 10.7554/eLife.32017.031

References

  1. Anastasiades PG, Butt SJ. Decoding the transcriptional basis for GABAergic interneuron diversity in the mouse neocortex. European Journal of Neuroscience. 2011;34:1542–1552. doi: 10.1111/j.1460-9568.2011.07904.x. [DOI] [PubMed] [Google Scholar]
  2. Armstrong C, Soltesz I. Basket cell dichotomy in microcircuit function. The Journal of Physiology. 2012;590:683–694. doi: 10.1113/jphysiol.2011.223669. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Azim E, Jabaudon D, Fame RM, Macklis JD. SOX6 controls dorsal progenitor identity and interneuron diversity during neocortical development. Nature Neuroscience. 2009;12:1238–1247. doi: 10.1038/nn.2387. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bartolini G, Ciceri G, Marín O. Integration of GABAergic interneurons into cortical cell assemblies: lessons from embryos and adults. Neuron. 2013;79:849–864. doi: 10.1016/j.neuron.2013.08.014. [DOI] [PubMed] [Google Scholar]
  5. Batista-Brito R, Rossignol E, Hjerling-Leffler J, Denaxa M, Wegner M, Lefebvre V, Pachnis V, Fishell G. The cell-intrinsic requirement of Sox6 for cortical interneuron development. Neuron. 2009;63:466–481. doi: 10.1016/j.neuron.2009.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Butt SJ, Fuccillo M, Nery S, Noctor S, Kriegstein A, Corbin JG, Fishell G. The temporal and spatial origins of cortical interneurons predict their physiological subtype. Neuron. 2005;48:591–604. doi: 10.1016/j.neuron.2005.09.034. [DOI] [PubMed] [Google Scholar]
  7. Butt SJ, Sousa VH, Fuccillo MV, Hjerling-Leffler J, Miyoshi G, Kimura S, Fishell G. The requirement of Nkx2-1 in the temporal specification of cortical interneuron subtypes. Neuron. 2008;59:722–732. doi: 10.1016/j.neuron.2008.07.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Cadwell CR, Palasantza A, Jiang X, Berens P, Deng Q, Yilmaz M, Reimer J, Shen S, Bethge M, Tolias KF, Sandberg R, Tolias AS. Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq. Nature Biotechnology. 2016;34:199–203. doi: 10.1038/nbt.3445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Cai Y, Zhang Q, Wang C, Zhang Y, Ma T, Zhou X, Tian M, Rubenstein JL, Yang Z. Nuclear receptor COUP-TFII-expressing neocortical interneurons are derived from the medial and lateral/caudal ganglionic eminence and define specific subsets of mature interneurons. Journal of Comparative Neurology. 2013;521:479–497. doi: 10.1002/cne.23186. [DOI] [PubMed] [Google Scholar]
  10. Cardin JA, Carlén M, Meletis K, Knoblich U, Zhang F, Deisseroth K, Tsai LH, Moore CI. Driving fast-spiking cells induces gamma rhythm and controls sensory responses. Nature. 2009;459:663–667. doi: 10.1038/nature08002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Craig MT, McBain CJ. The emerging role of GABAB receptors as regulators of network dynamics: fast actions from a 'slow' receptor? Current Opinion in Neurobiology. 2014;26:15–21. doi: 10.1016/j.conb.2013.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. De Marco García NV, Priya R, Tuncdemir SN, Fishell G, Karayannis T. Sensory inputs control the integration of neurogliaform interneurons into cortical circuits. Nature Neuroscience. 2015;18:393–401. doi: 10.1038/nn.3946. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Du T, Xu Q, Ocbina PJ, Anderson SA. NKX2.1 specifies cortical interneuron fate by activating Lhx6. Development. 2008;135:1559–1567. doi: 10.1242/dev.015123. [DOI] [PubMed] [Google Scholar]
  14. Fishell G, Rudy B. Mechanisms of inhibition within the telencephalon: "where the wild things are". Annual Review of Neuroscience. 2011;34:535–567. doi: 10.1146/annurev-neuro-061010-113717. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Flames N, Pla R, Gelman DM, Rubenstein JL, Puelles L, Marín O. Delineation of multiple subpallial progenitor domains by the combinatorial expression of transcriptional codes. Journal of Neuroscience. 2007;27:9682–9695. doi: 10.1523/JNEUROSCI.2750-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Fogarty M, Grist M, Gelman D, Marín O, Pachnis V, Kessaris N. Spatial genetic patterning of the embryonic neuroepithelium generates GABAergic interneuron diversity in the adult cortex. Journal of Neuroscience. 2007;27:10935–10946. doi: 10.1523/JNEUROSCI.1629-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Fu Y, Tucciarone JM, Espinosa JS, Sheng N, Darcy DP, Nicoll RA, Huang ZJ, Stryker MP. A cortical circuit for gain control by behavioral state. Cell. 2014;156:1139–1152. doi: 10.1016/j.cell.2014.01.050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Gelman D, Griveau A, Dehorter N, Teissier A, Varela C, Pla R, Pierani A, Marín O. A wide diversity of cortical GABAergic interneurons derives from the embryonic preoptic area. Journal of Neuroscience. 2011;31:16570–16580. doi: 10.1523/JNEUROSCI.4068-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Gelman DM, Martini FJ, Nóbrega-Pereira S, Pierani A, Kessaris N, Marín O. The embryonic preoptic area is a novel source of cortical GABAergic interneurons. Journal of Neuroscience. 2009;29:9380–9389. doi: 10.1523/JNEUROSCI.0604-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. He M, Tucciarone J, Lee S, Nigro MJ, Kim Y, Levine JM, Kelly SM, Krugikov I, Wu P, Chen Y, Gong L, Hou Y, Osten P, Rudy B, Huang ZJ. Strategies and tools for combinatorial targeting of gabaergic neurons in mouse cerebral cortex. Neuron. 2016;91:1228–1243. doi: 10.1016/j.neuron.2016.08.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Huang ZJ. Toward a genetic dissection of cortical circuits in the mouse. Neuron. 2014;83:1284–1302. doi: 10.1016/j.neuron.2014.08.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Jiang X, Shen S, Cadwell CR, Berens P, Sinz F, Ecker AS, Patel S, Tolias AS. Principles of connectivity among morphologically defined cell types in adult neocortex. Science. 2015;350:aac9462. doi: 10.1126/science.aac9462. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Jiang X, Wang G, Lee AJ, Stornetta RL, Zhu JJ. The organization of two new cortical interneuronal circuits. Nature Neuroscience. 2013;16:210–218. doi: 10.1038/nn.3305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Kanatani S, Yozu M, Tabata H, Nakajima K. COUP-TFII is preferentially expressed in the caudal ganglionic eminence and is involved in the caudal migratory stream. Journal of Neuroscience. 2008;28:13582–13591. doi: 10.1523/JNEUROSCI.2132-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Kepecs A, Fishell G. Interneuron cell types are fit to function. Nature. 2014;505:318–326. doi: 10.1038/nature12983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Kessaris N, Magno L, Rubin AN, Oliveira MG. Genetic programs controlling cortical interneuron fate. Current Opinion in Neurobiology. 2014;26:79–87. doi: 10.1016/j.conb.2013.12.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Lee S, Hjerling-Leffler J, Zagha E, Fishell G, Rudy B. The largest group of superficial neocortical GABAergic interneurons expresses ionotropic serotonin receptors. Journal of Neuroscience. 2010;30:16796–16808. doi: 10.1523/JNEUROSCI.1869-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Liodis P, Denaxa M, Grigoriou M, Akufo-Addo C, Yanagawa Y, Pachnis V. Lhx6 activity is required for the normal migration and specification of cortical interneuron subtypes. Journal of Neuroscience. 2007;27:3078–3089. doi: 10.1523/JNEUROSCI.3055-06.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Ma T, Zhang Q, Cai Y, You Y, Rubenstein JL, Yang Z. A subpopulation of dorsal lateral/caudal ganglionic eminence-derived neocortical interneurons expresses the transcription factor Sp8. Cerebral Cortex. 2012;22:2120–2130. doi: 10.1093/cercor/bhr296. [DOI] [PubMed] [Google Scholar]
  30. Miyoshi G, Hjerling-Leffler J, Karayannis T, Sousa VH, Butt SJ, Battiste J, Johnson JE, Machold RP, Fishell G. Genetic fate mapping reveals that the caudal ganglionic eminence produces a large and diverse population of superficial cortical interneurons. Journal of Neuroscience. 2010;30:1582–1594. doi: 10.1523/JNEUROSCI.4515-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Miyoshi G, Young A, Petros T, Karayannis T, McKenzie Chang M, Lavado A, Iwano T, Nakajima M, Taniguchi H, Huang ZJ, Heintz N, Oliver G, Matsuzaki F, Machold RP, Fishell G. Prox1 regulates the subtype-specific development of caudal ganglionic eminence-derived GABAergic cortical interneurons. Journal of Neuroscience. 2015;35:12869–12889. doi: 10.1523/JNEUROSCI.1164-15.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Murthy S, Niquille M, Hurni N, Limoni G, Frazer S, Chameau P, van Hooft JA, Vitalis T, Dayer A. Serotonin receptor 3A controls interneuron migration into the neocortex. Nature Communications. 2014;5:5524. doi: 10.1038/ncomms6524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Nery S, Fishell G, Corbin JG. The caudal ganglionic eminence is a source of distinct cortical and subcortical cell populations. Nature Neuroscience. 2002;5:1279–1287. doi: 10.1038/nn971. [DOI] [PubMed] [Google Scholar]
  34. Nóbrega-Pereira S, Kessaris N, Du T, Kimura S, Anderson SA, Marín O. Postmitotic Nkx2-1 controls the migration of telencephalic interneurons by direct repression of guidance receptors. Neuron. 2008;59:733–745. doi: 10.1016/j.neuron.2008.07.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Palmer LM, Schulz JM, Murphy SC, Ledergerber D, Murayama M, Larkum ME. The cellular basis of GABA(B)-mediated interhemispheric inhibition. Science. 2012;335:989–993. doi: 10.1126/science.1217276. [DOI] [PubMed] [Google Scholar]
  36. Pfeffer CK, Xue M, He M, Huang ZJ, Scanziani M. Inhibition of inhibition in visual cortex: the logic of connections between molecularly distinct interneurons. Nature Neuroscience. 2013;16:1068–1076. doi: 10.1038/nn.3446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Pi HJ, Hangya B, Kvitsiani D, Sanders JI, Huang ZJ, Kepecs A. Cortical interneurons that specialize in disinhibitory control. Nature. 2013;503:521–524. doi: 10.1038/nature12676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Pinto L, Dan Y. Cell-Type-specific activity in prefrontal cortex during goal-directed behavior. Neuron. 2015;87:437–450. doi: 10.1016/j.neuron.2015.06.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Prönneke A, Scheuer B, Wagener RJ, Möck M, Witte M, Staiger JF. Characterizing VIP neurons in the barrel cortex of vipcre/tdtomato mice reveals layer-specific differences. Cerebral Cortex. 2015;25:4854–4868. doi: 10.1093/cercor/bhv202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Rubin AN, Kessaris N. PROX1: a lineage tracer for cortical interneurons originating in the lateral/caudal ganglionic eminence and preoptic area. PLoS One. 2013;8:e77339. doi: 10.1371/journal.pone.0077339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Rudy B, Fishell G, Lee S, Hjerling-Leffler J. Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons. Developmental Neurobiology. 2011;71:45–61. doi: 10.1002/dneu.20853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Sohal VS, Zhang F, Yizhar O, Deisseroth K. Parvalbumin neurons and gamma rhythms enhance cortical circuit performance. Nature. 2009;459:698–702. doi: 10.1038/nature07991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Southwell DG, Paredes MF, Galvao RP, Jones DL, Froemke RC, Sebe JY, Alfaro-Cervello C, Tang Y, Garcia-Verdugo JM, Rubenstein JL, Baraban SC, Alvarez-Buylla A. Intrinsically determined cell death of developing cortical interneurons. Nature. 2012;491:109–113. doi: 10.1038/nature11523. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Tamás G, Lorincz A, Simon A, Szabadics J. Identified sources and targets of slow inhibition in the neocortex. Science. 2003;299:1902–1905. doi: 10.1126/science.1082053. [DOI] [PubMed] [Google Scholar]
  45. Taniguchi H, Lu J, Huang ZJ. The spatial and temporal origin of chandelier cells in mouse neocortex. Science. 2013;339:70–74. doi: 10.1126/science.1227622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Vucurovic K, Gallopin T, Ferezou I, Rancillac A, Chameau P, van Hooft JA, Geoffroy H, Monyer H, Rossier J, Vitalis T. Serotonin 3A receptor subtype as an early and protracted marker of cortical interneuron subpopulations. Cerebral Cortex. 2010;20:2333–2347. doi: 10.1093/cercor/bhp310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Wang F, Flanagan J, Su N, Wang LC, Bui S, Nielson A, Wu X, Vo HT, Ma XJ, Luo Y. RNAscope: a novel in situ RNA analysis platform for formalin-fixed, paraffin-embedded tissues. The Journal of Molecular Diagnostics : JMD. 2012;14:22–29. doi: 10.1016/j.jmoldx.2011.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Wonders CP, Anderson SA. The origin and specification of cortical interneurons. Nature Reviews Neuroscience. 2006;7:687–696. doi: 10.1038/nrn1954. [DOI] [PubMed] [Google Scholar]
  49. Xu Q, Tam M, Anderson SA. Fate mapping Nkx2.1-lineage cells in the mouse telencephalon. The Journal of Comparative Neurology. 2008;506:16–29. doi: 10.1002/cne.21529. [DOI] [PubMed] [Google Scholar]
  50. Zhang S, Xu M, Kamigaki T, Hoang Do JP, Chang WC, Jenvay S, Miyamichi K, Luo L, Dan Y. Selective attention. Long-range and local circuits for top-down modulation of visual cortex processing. Science. 2014;345:660–665. doi: 10.1126/science.1254126. [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision letter

Editor: Joseph G Gleeson1

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "Neurogliaform cortical interneurons expressing the serotonin receptor 3A originate from the preoptic area" for consideration by eLife. Your article has been reviewed by three peer reviewers, and the evaluation has been overseen by Joseph Gleeson as the Reviewing Editor and a Senior Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

Summary:

The paper by Niquille et al. reports that a specific cortical interneuron type called Neurogliaform (NGFC) comes from an embryonic domain in the mouse brain, called Preoptic Area (POA). The authors perform a careful and quite detailed analysis at different development stages using a variety of tools, which include compact transgenic mouse lines, immunohistochemistry, sensitive in situ hybridization, as well as physiology to prove their point. The techniques are appropriate and the data is of high quality. The most important result of the study is the identification of these interneurons as a population of NGCs, a specific class of cortical interneurons. This is a timely study, as researchers are trying to understand cortical interneuron diversity in general, as well as its developmental origin. Among all the other interneuron types that have been reported, NGFC is probably one of the least studied ones, as to date there are no genetic tools to label and target them. This study puts forth that the Nkx5.1Cre BAC transgenic mouse line is that missing tool.

This study is a follow-up of the Gelman DM et al., 2009 and 2011 work, showing that a population of cortical interneurons comes from the POA, as opposed to the MGE or CGE. In the 2009 paper and using the same Nkx5.1-Cre BAC mouse line, the authors report that the majority of cells seem to belong a more or less single type of interneuron, based on action potential firing and morphological features, which were consistent with previous functional studies on NGFCs. Nevertheless, in that paper, the authors did not name it NGFC and due to the lack of additional makers that have come up since, did not stain for reelin, Car4, NR2F2 or Sp8. In addition the paper did not do a detailed characterization of the passive and active electrophysiological properties of the fate-mapped cells. All three reviewers agree that the manuscript adds substantially to the field of cortical interneuron development, but that still requires additional clarifications/support for its conclusions.

Essential revisions:

Figure 1: This study relies heavily on two different BAC transgenic lines – Nkx5.1(BAC)-Cre, i.e., Tg(Hmx3-iCre)1Kess, and Htr3a(BAC)-EGFP, i.e., Tg(Htr3a-EGFP)DH30Gsat – that, like many BAC transgenics, are complicated reagents whose respective expression profiles may not always accurately recapitulate their corresponding genetic loci. The use of Htr3a(BAC)-EGFP as a proxy for CGE origin is clearly not straightforward in the E14.5 embryo, e.g., there is robust ectopic EGFP expression evident in the cortical plate (Figure 1A). The overlap between Nkx5.1(BAC)-Cre; Ai14 ("Nkx5.1-tdTom") and Htr3a(BAC)-EGFP ("Htr3a-EGFP") in the E14.5 POA is convincing, but there is also overlap in the ventral CGE (1B), and because Nkx5.1 is not expressed in POA progenitors but only in migratory precursors it is difficult to assign a precise location to this lineage's origin. Are there Nkx5.1-tdTOM+/Htr3a(BAC)-EGFP cells that remain in the POA at postnatal ages? If so, it would be difficult to distinguish whether the double positive cells highlighted in Figure 1A give rise to the cortical interneurons analyzed vs. lineages that remain in the POA. Because Nkx5.1 is not expressed in progenitors, the absence of overlap with Nkx2.1 (Figure 1E) does not prove that these lineages do not arise from an Nkx2.1+ territory; in fact, Flames et al. presented evidence (as does Figure 1E) that Nkx2.1 is expressed in the entire POA progenitor pool, even though Lhx6 expression is not maintained in POA lineages, in contrast to those arising from the MGE. Recent fate maps using an Nkx2.1-Flpo knock in line (vs. the Nkx2.1(BAC)-Cre, whose expression was known to be excluded from the Nkx6.2 territory) show little if any labeling of layer 1 – this does not prove that layer 1 cells do not arise from the POA, but it puts more weight on the accuracy of the Nkx5.1(BAC)-Cre line as a proxy for POA origin. How do the fate maps in this study compare with those shown in Gelman et al. 2009? Has there been any 'drift' in the recombination mediated by this BAC tg over time?

There are tdTOM+/GFP+ cells in all layers of the neocortex, yet the authors have only characterised the electrophysiological properties of cells in layer 1. Are neurons in other layers also NGCs? Do they express Car4 and have the characteristic morphology of NGCs? A detailed characterization of these neurons throughout all layers is not expected, but it is important to clarify this point.

Quantifications are also needed for panels 1C-E. In relation to the expression of Nkx2-1, this transcription factor is downregulated as cells migrate towards the cortex (Nobrega-Pereira et al., 2008). Previous work that has suggested that NGCs derive from both the MGE and the CGE (Tricoire et al., J Neurosci 2010), so it would be important to determine in the tdTOM+/GFP+ cells studied here derive from Nkx2-1 progenitor cells in the POA. On that note, the authors should correct the statement that Nkx2-1 is an MGE-specific transcription factor. This is not correct: Nkx2-1 is also expressed in the ventricular zone of the POA [Flames et al., 2007]). The tdTOM+/GFP+ cells may downregulate Nkx2-1 by the time they have left the ventricular zone. This is a complicated experiment, because it would probably involve crossing Nkx2-1-Flp and Nkx5.1-Cre lines with a dual reported, but this is necessary to support the claim "these results indicate that a fraction of Nkx5.1+ progenitors in the POA express 5-HT3AR and a pattern of TFs more related to CGE than to MGE-derived INs".

The authors should include morphological reconstructions of the axon of tdTOM+/GFP+ cells to reinforce the notion that these cells are indeed NGCs. The axon of these cells is so characteristic that is almost impossible to miss. Another interesting property of NGCs (at least in hippocampus and piriform cortex) is persistent firing that outlasts the injected current (Sheffield et al., Nature Neurosci 2011; Suzuki et al., Front Cell Neurosci 2014). Is this property also observed in S1 tdTOM+/GFP+ cells?

Additional experiments requested by reviewers but not essential. If not performed, at least address in the text:

Since NGFCs have also been reported in other cortical layers, it would be good if the authors recorded the Htr3a-GFP and Nkx5.1-tdtomato positive fate-mapped cells in other layers besides layer 1. Although beyond the scope of the paper, it would also be very interesting to check the fate-mapped cells in other brain regions the cells have shown to be present, such as the amygdala. The study would be more complete if the authors morphologically reconstructed some cells from several layers (can be combined with point 1) to show that they fit the pattern observed in other studies.

Perform a limited number of paired-recordings between interneurons and pyramidal cells to show that the Htr3a-GFP and Nkx5.1-tdtomato positive cells have the very characteristic slow GABAA and GABAB receptor -dependent synaptic output of NGFCs and that Htr3a-GFP only cells do not. The reviewer does realize that this is a significant and time-consuming task, but if achieved, it would leave very little room for disputes on whether these cells are NGFCs.

eLife. 2018 Mar 20;7:e32017. doi: 10.7554/eLife.32017.034

Author response


Essential revisions:

Figure 1: This study relies heavily on two different BAC transgenic lines – Nkx5.1(BAC)-Cre, i.e., Tg(Hmx3-iCre)1Kess, and Htr3a(BAC)-EGFP, i.e., Tg(Htr3a-EGFP)DH30Gsat – that, like many BAC transgenics, are complicated reagents whose respective expression profiles may not always accurately recapitulate their corresponding genetic loci. The use of Htr3a(BAC)-EGFP as a proxy for CGE origin is clearly not straightforward in the E14.5 embryo, e.g., there is robust ectopic EGFP expression evident in the cortical plate (Figure 1A). The overlap between Nkx5.1(BAC)-Cre; Ai14 ("Nkx5.1-tdTom") and Htr3a(BAC)-EGFP ("Htr3a-EGFP") in the E14.5 POA is convincing, but there is also overlap in the ventral CGE (1B), and because Nkx5.1 is not expressed in POA progenitors but only in migratory precursors it is difficult to assign a precise location to this lineage's origin.

In accordance with previous data from the Fishell and Rudy labs (Lee, S. et al., 2010), we also observe EGFP expression in preplate cortical neurons at early embryonic ages in the Htr3a(BAC)-EGFP mouse line. We thus agree that the Htr3a(BAC)-EGFP mouse line is not a straightforward proxy for CGE-derived cortical interneurons (INs) at embryonic time-points. However, at postnatal ages, the combination of Htr3a(BAC)-EGFP and MGE-derived interneuron driver lines has been shown to be a useful tool to track 100% of cortical INs (Lee et al., 2010). Because Nkx5.1 is not expressed in POA progenitors and only in migratory precursors, we agree that it is currently difficult to establish that Nkx5.1-derived INs originate from progenitors residing in the POA ventricular zone (VZ). We have thus modified the manuscript accordingly and removed the term “progenitor” throughout the manuscript. We now indicate that Nkx5.1-derived INs are observed in the embryonic POA region but do not make the claim that they derive from progenitors generated in the POA VZ. Additional tools would be required to answer the specific question of their mitotic progenitor origin (see our fourth response).

Are there Nkx5.1-tdTOM+/Htr3a(BAC)-EGFP cells that remain in the POA at postnatal ages? If so, it would be difficult to distinguish whether the double positive cells highlighted in Figure 1A give rise to the cortical interneurons analyzed vs. lineages that remain in the POA.

We have investigated postnatal ages, and observed that in contrast to the embryonic POA, only very few Nkx5.1; tdTOM+ / Htr3a-GFP+ cells remained postnatally in subpallial regions corresponding to embryonic POA region, such as the preoptic nuclei (PoN). This observation supports the hypothesis that embryonic double-labelled Nkx5.1; tdTOM+ / Htr3a-GFP+ cells exit the embryonic POA to populate other brain regions such as cortex. These new data are now provided in Figure 2—figure supplement 2 and are described in the new Results section.

Because Nkx5.1 is not expressed in progenitors, the absence of overlap with Nkx2.1 (Figure 1E) does not prove that these lineages do not arise from an Nkx2.1+ territory; in fact, Flames et al. presented evidence (as does Figure 1E) that Nkx2.1 is expressed in the entire POA progenitor pool, even though Lhx6 expression is not maintained in POA lineages, in contrast to those arising from the MGE. Recent fate maps using an Nkx2.1-Flpo knock in line (vs. the Nkx2.1(BAC)-Cre, whose expression was known to be excluded from the Nkx6.2 territory) show little if any labeling of layer 1 – this does not prove that layer 1 cells do not arise from the POA, but it puts more weight on the accuracy of the Nkx5.1(BAC)-Cre line as a proxy for POA origin. How do the fate maps in this study compare with those shown in Gelman et al. 2009? Has there been any 'drift' in the recombination mediated by this BAC tg over time?

We agree with these interesting comments, which are also related to the sixth point below. It is true that the progenitors in the VZ of the POA region express high levels of Nkx2.1 as shown in Flames et al. work (2007). Our new quantification at E14.5 in POA, indicates that only a small fraction (about 15%) of Nkx5.1; tdTOM+ / Htr3a-GFP+ cells co-express NKX2.1. As suggested by reviewers, it is thus possible that postmitotic cells from the Nkx5.1 lineage downregulate Nkx2.1 after exiting the VZ of the POA. However, it should be noted that theNkx2.1-Flpo knock-in line does not appear to label cells in layer 1 (see Figure S1 in He et al., 2016), indicating that Nkx5.1-derived NGCs in layer 1 may derive from progenitors that do not belong to the Nkx2.1 lineage.

To comment on this point, we have now added in the Discussion the following new paragraph with new references:

“In the embryonic POA, we observe that only a small fraction of Nkx5.1; tdTOM+ / Htr3a-GFP+ cells express the TF NKX2.1, which has been shown to be strongly expressed in the ventricular zone of the POA (Flames et al., 2007). […] Overall, further work needs to be done to clarify the precise origin of mitotic progenitors giving rise to the pool of Nkx5.1; tdTOM+ / Htr3a-GFP+ cells observed in the embryonic POA.”

Finally,although a drift in recombination of the BAC trangenics over time is always possible, the pattern of recombination we have observed appears quite similar to the Gelman et al. publication.

There are tdTOM+/GFP+ cells in all layers of the neocortex, yet the authors have only characterised the electrophysiological properties of cells in layer 1. Are neurons in other layers also NGCs? Do they express Car4 and have the characteristic morphology of NGCs? A detailed characterization of these neurons throughout all layers is not expected, but it is important to clarify this point.

We analysed Nkx5.1; tdTOM+ / Htr3a-GFP+ INs in deeper cortical layers to determine whether they also displayed NGC characteristics. As for layer 1 cells, Car4 expression was significantly higher in Nkx5.1; tdTOM+ / Htr3a-GFP+ INs residing in layer 2-6 as compared to Htr3a-GFP+ INs negative for tdTOM (Figure 6—figure supplement 3). Morphological reconstructions of Nkx5.1; tdTOM+ / Htr3a-GFP+ INs in layers 2-6 revealed that all cells had the characteristic morphology of NGCs with dense and fine axonal ramifications (Figure 6—figure supplement 4). Furthermore, electrophysiological recordings of Nkx5.1; tdTOM+ / Htr3a-GFP+ INs in cortical layers 2-6 indicated that they displayed a more pronounced tendency to late-spiking compared to layer 1 cells, an electrophysiological property which is a typical of NGCs (Figure 6—figure supplement 3). These new molecular, morphological and electrophysiological data comparing layer 1 and layer 2-6 Nkx5.1; tdTOM+ / Htr3a-GFP+ INs are available in Figure 6—figure supplements 3, 4 and in the Figure 6—figure supplement 3—source data 1 and 2.

Quantifications are also needed for panels 1C-E.

These quantifications are now provided in the main Figure 1 and in the Results section. Detailed cells counts are available in the Supplementary file 1 and Figure 1—source data 1.

In relation to the expression of Nkx2-1, this transcription factor is downregulated as cells migrate towards the cortex (Nobrega-Pereira et al., 2008). Previous work that has suggested that NGCs derive from both the MGE and the CGE (Tricoire et al., J Neurosci 2010), so it would be important to determine in the tdTOM+/GFP+ cells studied here derive from Nkx2-1 progenitor cells in the POA. On that note, the authors should correct the statement that Nkx2-1 is an MGE-specific transcription factor. This is not correct: Nkx2-1 is also expressed in the ventricular zone of the POA [Flames et al., 2007]). The tdTOM+/GFP+ cells may downregulate Nkx2-1 by the time they have left the ventricular zone. This is a complicated experiment, because it would probably involve crossing Nkx2-1-Flp and Nkx5.1-Cre lines with a dual reported, but this is necessary to support the claim "these results indicate that a fraction of Nkx5.1+ progenitors in the POA express 5-HT3AR and a pattern of TFs more related to CGE than to MGE-derived INs".

We fully agree that further work needs to be done to clarify the precise origin of mitotic progenitors giving rise to Nkx5.1; tdTOM+ / Htr3a-GFP+ cells observed in the embryonic POA. As correctly mentioned by the reviewers this specific point can only be resolved by a complicated experiment involving additional transgenic mouse lines, including the Nkx2.1-Flpo knock-in line and a dual reporter mouse line. As indicated in our answer to point 1, we have modified the manuscript and now indicate that Nkx5.1-derived INs are observed in the embryonic POA region but do not make the claim that they derive from progenitors generated in the POA ventricular zone. In addition, we have added a new paragraph in the discussion to address this point (see our answer to point 3). Finally, have removed the statement that Nkx2.1 is a MGE-specific transcription factor.

The authors should include morphological reconstructions of the axon of tdTOM+/GFP+ cells to reinforce the notion that these cells are indeed NGCs. The axon of these cells is so characteristic that is almost impossible to miss.

We now provide morphological reconstructions of Nkx5.1; tdTOM+ / Htr3a-GFP+ INs in layers 1-6. All reconstructed cells displayed the characteristic morphology of elongated NGCs with dense and fine axonal ramifications (Figure 6, Figure 6 supplement 1, 4).

Another interesting property of NGCs (at least in hippocampus and piriform cortex) is persistent firing that outlasts the injected current (Sheffield et al., Nature Neurosci 2011; Suzuki et al., Front Cell Neurosci 2014). Is this property also observed in S1 tdTOM+/GFP+ cells?

Although the physiological importance of persistent firing is not well understood, we agree that it is interesting to explore whether this property described for NGCs of the hippocampus and the piriform cortex also pertains to NGCs of the neocortex. In our first set of recordings to study the firing properties of Nkx5.1-derived NGCs in barrel cortex layer 1 (BC L1), we used protocols of 0.5 s-long subsequent depolarizing current steps with 20 pA increments (similarly to Sheffield et al., Nat Neurosci., 2011). This protocol did not trigger persistent firing in any of the 21 Nkx5.1-derived NGCs included in the analysis of our first submission. To verify that this was not merely due to our experimental conditions, we performed additional recordings from 6 Nkx5.1-derived NGCs in L1-3, using two different protocols for somatic stimulation described by Suzuki et al., (Front Cell Neurosci,2014) (1 s-long depolarizing current steps (0.5-1.5 nA) at 0.5 Hz, and 2 ms-long depolarizing current steps (1.0-1.5 nA) at 20 Hz). Persistent firing occurred only in 1 out of 6 recorded Nkx5.1-derived NGCs (17%), in the second trial of the 1 s-long depolarizing current steps protocol. It lasted for 6.5 s after the 20th depolarizing current step and it did not reoccur in the following three trials of stimulation that took place with 2 min intervals. Our values for frequency of occurrence and duration (17% and 6.5 s respectively) were much lower as compared to the ones reported for NGCs by Suzuki et al., (Front Cell Neurosci, 2014). As reported in the above-mentioned studies, the range of temperature as well as the concentrations of K+ and Ca2+ in the recording ACSF are critical for persistent firing occurrence and duration. Most probably, the lower temperatures (30-32°C vs. 33-35°C) and the lower K+ concentration (2.5 mM vs. 3.0 mM) in our experiments account for the lower frequency of occurrence, whereas the higher Ca2+ concentration (2.5 mM vs. 2.0 mM) accounts for the shorter duration of persistent firing. Hence, we conclude that persistent firing can also be induced in Nkx5.1-derived NGCs in BC superficial layers, but its occurrence and duration depends strongly on the experimental conditions applied. It will be interesting to further investigate which conditions would allow a higher incidence and duration of persistent firing in these cells. However, we feel that this is beyond the scope of the present study.

Additional experiments requested by reviewers but not essential. If not performed, at least address in the text:

Since NGFCs have also been reported in other cortical layers, it would be good if the authors recorded the Htr3a-GFP and Nkx5.1-tdtomato positive fate-mapped cells in other layers besides layer 1. Although beyond the scope of the paper, it would also be very interesting to check the fate-mapped cells in other brain regions the cells have shown to be present, such as the amygdala. The study would be more complete if the authors morphologically reconstructed some cells from several layers (can be combined with point 1) to show that they fit the pattern observed in other studies.

As indicated in our response to point 4, we analysed Nkx5.1; tdTOM+ / Htr3a-GFP+ INs in deeper cortical layers to determine whether they also displayed NGC characteristics. As for layer 1 cells, Car4 expression was significantly increased in Nkx5.1; tdTOM+ / Htr3a-GFP+ INs residing in layer 2-6 as compared to Htr3a-GFP+ INs negative for tdTOM (Figure 6 supplement 3). Morphological reconstructions of Nkx5.1; tdTOM+ / Htr3a-GFP+ IN residing in cortical layers 2-6 revealed that all cells had the characteristic morphology of NGCs with dense and fine axonal ramifications (Figure 6 Supplement 4). Furthermore, recordings of Nkx5.1; tdTOM+ / Htr3a-GFP+ INs in cortical layers 2-6 indicated that they displayed more pronounced NGC electrophysiological profiles such as late-spiking properties compared to layer 1 cells(Figure 6 Supplement 3).

Finally, we have observed Nkx5.1; tdTOM+ / Htr3a-GFP+ fate-mapped cells in a variety of brain regions including the amygdala and hippocampus. These cells are now shown in illustrative rostro-caudal sections in a new Figure 2 Supplement 1

Perform a limited number of paired-recordings between interneurons and pyramidal cells to show that the Htr3a-GFP and Nkx5.1-tdtomato positive cells have the very characteristic slow GABAA and GABAB receptor -dependent synaptic output of NGFCs and that Htr3a-GFP only cells do not. The reviewer does realize that this is a significant and time-consuming task, but if achieved, it would leave very little room for disputes on whether these cells are NGFCs.

Given that new molecular, morphological and electrophysiological recordings performed in other cortical layers confirm that Nkx5.1; tdTOM+ / Htr3a-GFP+ have characteristic features of NGCs, this specific point was not addressed.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 1—source data 1. Detailed counts of cells quantified in Figure 1 in the different experimental conditions.
    DOI: 10.7554/eLife.32017.004
    Figure 2—source data 1. Detailed counts of cells quantified in Figure 2 in the different experimental conditions.
    DOI: 10.7554/eLife.32017.010
    Figure 2—figure supplement 3—source data 1. Detailed counts of cells quantified in Figure 2—figure supplement 3 in the different experimental conditions.
    DOI: 10.7554/eLife.32017.009
    Figure 3—source data 1. Detailed counts of cells quantified in Figure 3 in the different experimental conditions.
    DOI: 10.7554/eLife.32017.013
    Figure 4—source data 1. Detailed counts of cells quantified in Figure 4 in the different experimental conditions.
    DOI: 10.7554/eLife.32017.016
    Figure 5—source data 1. Detailed counts of cells quantified in Figure 5 in the different experimental conditions.
    DOI: 10.7554/eLife.32017.019
    Figure 6—source data 1. Detailed counts of cells expressing Car4 quantified in Figure 6 in the different experimental conditions.
    DOI: 10.7554/eLife.32017.025
    Figure 6—source data 2. Electrophysiological properties of cells quantified in Figure 6.
    DOI: 10.7554/eLife.32017.026
    Figure 6—figure Supplement 3—source data 1. Detailed counts of cells expressing Car4 quantified in Figure 6—figure supplement 3 in the different experimental conditions.
    DOI: 10.7554/eLife.32017.027
    Figure 6—figure Supplement 3—source data 2. Electrophysiological properties of cells quantified in Figure 6—figure supplement 3.
    DOI: 10.7554/eLife.32017.028
    Supplementary file 1. Detailed description of the technical (brains) and biological (cells) replicates used in the different experiments.
    elife-32017-supp1.docx (21.6KB, docx)
    DOI: 10.7554/eLife.32017.030
    Transparent reporting form
    DOI: 10.7554/eLife.32017.031

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