The human brain owes its characteristic wrinkled appearance to its outer layer, the cerebral cortex. All mammals have a cerebral cortex, but its size varies greatly between species. As the brain evolved, the neocortex, the evolutionarily youngest part of the cerebral cortex, expanded dramatically and so had to fold into wrinkles to fit inside the skull. The human neocortex is roughly three times bigger than that of our closest relatives, the chimpanzees, and helps support advanced cognitive skills such as reasoning and language. But how did the human neocortex become so big?

The answer may lie in genes that are unique to humans, such as ARHGAP11B. Introducing ARHGAP11B into the neocortex of mouse embryos increases its size and can induce folding. It does this by increasing the number of neural progenitors, the cells that give rise to neurons. But there are two types of neural progenitors in mammalian neocortex: apical and basal. A subtype of the latter – basal radial glia – is thought to drive neocortex growth in human development. Unfortunately, mice have very few basal radial glia. This makes them unsuitable for testing whether ARHGAP11B acts via basal radial glia to enlarge the human neocortex.

Kalebic et al. therefore introduced ARHGAP11B into ferret embryos in the womb. Ferrets have a larger neocortex than mice and possess more basal radial glia. Unlike in mice, introducing this gene into the ferret neocortex markedly increased the number of basal radial glia. It also extended the time window during which the basal radial glia produced neurons. These changes increased the number of neurons, particularly of a specific subtype found mainly in animals with large neocortex and thought to be involved in human cognition.

Introducing human-specific ARHGAP11B into embryonic ferrets thus helped expand the ferret neocortex. This suggests that this gene may have a similar role in human brain development. Further experiments are needed to determine whether ferrets with the ARHGAP11B gene, and thus a larger neocortex, have enhanced cognitive abilities. If they do, testing these animals could provide insights into human cognition. The animals could also be used to model human brain diseases and to test potential treatments.

The expansion of the neocortex during primate evolution is thought to constitute one important basis for the unparalleled cognitive abilities of humans. The size of the neocortex is mainly regulated by the proliferative capacity of neural progenitor cells during cortical development and the length of the neurogenic period (Azevedo et al., 2009; Borrell and Götz, 2014; Dehay et al., 2015; Kaas, 2013; Kalebic et al., 2017; Krubitzer, 2007; Lui et al., 2011; Molnár et al., 2006; Rakic, 2009; Sousa et al., 2017; Wilsch-Bräuninger et al., 2016).

Two major classes of neural progenitors can be distinguished: apical progenitors (APs), whose cell bodies reside in the ventricular zone (VZ), and basal progenitors (BPs), whose cell bodies reside in the subventricular zone (SVZ). Whereas APs are highly proliferative in the neocortex of all mammalian species studied (Götz and Huttner, 2005; Rakic, 2003a), BPs are highly proliferative only in species with an expanded neocortex (Borrell and Götz, 2014; Florio and Huttner, 2014; Lui et al., 2011; Reillo et al., 2011). Specifically, a subtype of BPs, called basal (or outer) radial glia (bRG), are thought to play a key role in the evolutionary expansion of the neocortex (Borrell and Götz, 2014; Florio and Huttner, 2014; Lui et al., 2011). Importantly, in species with an expanded neocortex, such as primates or the ferret, the SVZ has been shown to be divided into two distinct histological zones: the inner and outer SVZ (ISVZ and OSVZ, respectively) (Dehay et al., 2015; Reillo and Borrell, 2012; Smart et al., 2002). The OSVZ is uniquely important for the evolutionary expansion of the neocortex, as proliferative bRG are particularly abundant in this zone (Betizeau et al., 2013; Fietz et al., 2010; Hansen et al., 2010; Poluch and Juliano, 2015; Reillo and Borrell, 2012; Reillo et al., 2011; Smart et al., 2002). Increased proliferative capacity of bRG results in an amplification of BP number and is accompanied by a prolonged phase of production of late-born neurons (Geschwind and Rakic, 2013; Otani et al., 2016; Rakic, 2009). As the mammalian cerebral cortex is generated in an inside-out fashion, these late-born neurons occupy the upper-most layers of the cortex (Lodato and Arlotta, 2015; Molnár et al., 2006; Molyneaux et al., 2007; Rakic, 1972; Rakic, 2009; Sidman and Rakic, 1973). Thus, an increased generation of upper-layer neurons and increased thickness of the upper layers are also hallmarks of an expanded neocortex.

The evolutionary expansion of the neocortex is characteristically accompanied by an increase in the abundance of proliferative bRG, in the length of the neurogenic period, and in the relative proportion of upper-layer neurons within the cortical plate (Borrell and Götz, 2014; Dehay et al., 2015; Florio and Huttner, 2014; Geschwind and Rakic, 2013; Lui et al., 2011; Molnár et al., 2006; Sousa et al., 2017; Wilsch-Bräuninger et al., 2016). This is most obvious when comparing extant rodents, such as mouse, with primates, such as human. Carnivores, such as ferret, display intermediate features (Borrell and Reillo, 2012; Hutsler et al., 2005; Kawasaki, 2014; Reillo et al., 2011). Specifically, ferrets exhibit a gyrified neocortex and, during development, a pronounced OSVZ populated with proliferative bRG (Barnette et al., 2009; Borrell and Reillo, 2012; Fietz et al., 2010; Kawasaki, 2014; Kawasaki et al., 2013; Poluch and Juliano, 2015; Reillo et al., 2011; Sawada and Watanabe, 2012; Smart and McSherry, 1986a;Smart and McSherry, 1986b ). In this context, it should be noted that in evolution, the split between the lineages leading to mouse and to human occurred a few million years later than that leading to ferret and human (Bininda-Emonds et al., 2007).

In addition to the above-mentioned features associated with neocortex expansion in general, certain specific aspects of human neocortex expansion are thought to involve human-specific genomic changes. Recent transcriptomic studies established that certain previously identified human-specific genes (Bailey et al., 2002; Dennis and Eichler, 2016) are preferentially expressed in neural progenitor cells and have implicated these genes in human neocortex expansion (Fiddes et al., 2018; Florio et al., 2015; Florio et al., 2018; Florio et al., 2016; Suzuki et al., 2018). Among these genes, the one that showed the most specific expression in human bRG compared to neurons was ARHGAP11B (Florio et al., 2015). ARHGAP11B arose in evolution after the split of the human lineage from the chimpanzee lineage, as a product of a partial gene duplication of ARHGAP11A, a gene encoding a Rho GTPase activating protein (Dennis et al., 2017; Florio et al., 2015; Florio et al., 2016; Kagawa et al., 2013). Forced expression of ARHGAP11B in the embryonic mouse neocortex leads to an increase in BP proliferation and pool size (Florio et al., 2015). However, as described above, the mouse exhibits only a minute amount of bRG, a cell type thought to be instrumental for neocortex expansion, and the role of ARHGAP11B on the pool size of bRG, therefore, remains elusive. Additionally, the role of ARHGAP11B on the production of upper-layer neurons, another hallmark of the evolutionary expansion of the neocortex, is also unknown. Here, we study the effects of forced expression of ARHGAP11B in the developing ferret neocortex, which already exhibits several features of an expanded neocortex, including an abundance of bRG and of upper-layer neurons, and as such is a suitable model organism to address the role of ARHGAP11B in the evolutionary expansion of the neocortex.

We expressed ARHGAP11B in the ferret neocortex starting at embryonic day 33 (E33), when both the generation of upper-layer neurons and formation of the OSVZ start (Martínez-Martínez et al., 2016). Specifically, we performed in utero electroporation of ferrets (Kawasaki et al., 2012; Kawasaki et al., 2013) at E33 with a plasmid encoding ARHGAP11B under the constitutive CAG promoter or an empty vector as control. The analyses of electroporated embryos were performed at four different developmental stages: E37, E40/postnatal day (P) 0, 10 and 16 (Figure 1—figure supplement 1A). To be able to visualize the electroporated area, we co-electroporated ARHGAP11B-expressing and control plasmids with vectors encoding fluorescent markers. For postnatal studies, to be able to distinguish the electroporated kits, the ARHGAP11B-expressing plasmid was co-electroporated with a GFP-encoding plasmid, and the control vector with an mCherry-encoding plasmid, or vice versa. For the sake of simplicity, we refer to both fluorescent markers as Fluorescent Protein (FP) from here onwards, and both FPs are depicted in green color in all figures.

We detected ARHGAP11B transcript by RT-qPCR at all the stages analyzed and only in ferret embryos/kits subjected to ARHGAP11B in utero electroporation (Figure 1—figure supplement 1B–D). Additionally, immunofluorescence at E37 demonstrated the specific presence of the ARHGAP11B protein in neural progenitors of such embryos (Figure 1—figure supplement 1E,F and see Materials and methods for details).

ARHGAP11B increases the abundance of BPs in the developing ferret neocortex

We first examined the ability of ARHGAP11B to increase BP abundance in ferret. To this end, we immunostained E40/P0 ferret neocortex for PCNA, a marker of cycling cells, in order to identify progenitor cells (Figure 1A and Figure 1—figure supplement 2A). We observed an increase in the proportion of PCNA+ FP+ cells in OSVZ of the ARHGAP11B-expressing embryos compared to control (Figure 1B). The abundance of PCNA+ FP+ cells was increased in both ISVZ and OSVZ, but this increase was particularly strong in the OSVZ (Figure 1—figure supplement 2B). Of note, we did not detect any increase in the abundance of FP– progenitor cells in the SVZ, suggesting that ARHGAP11B does not promote any non-cell-autonomous effects (Figure 1—figure supplement 2C).

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We next immunostained the E40/P0 ferret neocortex for phospho-vimentin (PhVim), a marker of mitotic cells (Figure 1C). Our analysis revealed no effect of ARHGAP11B expression on apical mitoses (Figure 1D, left-most) and on basal mitoses in the abventricular VZ (Figure 1D, second column from left) compared to control. In contrast, a 3-fold increase in the abundance of basal mitotic cells in the SVZ was detected (Figure 1D, sum of ISVZ and OSVZ). This increase was observed for the ISVZ (2-fold, Figure 1D, second column from right), but was especially prominent for the OSVZ (5-fold, Figure 1D, right-most column). A comparably large increase (5-fold) was detected when examining mitotic bRG, that is, PhVim+ BPs exhibiting a PhVim+ process in the OSVZ (Figure 1E,F). bRG accounted for ≈50% of all BPs upon ARHGAP11B expression, and their relative proportion was not significantly changed compared to control or non-electroporated regions (Figure 1—figure supplement 2D). Of note, this strong increase in FP+ basal mitoses was not accompanied by any change in FP– mitotic cells (Figure 1—figure supplement 2E) nor by a change in thickness of the ferret germinal zones (Figure 1—figure supplement 2F). Taken together, these data indicate that ARHGAP11B markedly increases the abundance of BP, in particular bRG, when expressed in the embryonic ferret neocortex.

ARHGAP11B increases the proportion of Sox2-positive bRG that are Tbr2-negative

We next analyzed the ARHGAP11B-increased bRG in more detail. Proliferative neural progenitors, in particular apical radial glia (aRG) and bRG, characteristically express the transcription factor Sox2 (Pollen et al., 2015). We therefore immunostained E40/P0 ferret neocortex for Sox2 (Figure 2A) and detected a 40% increase in the proportion of Sox2+ FP+ cells in the germinal zones (GZs) (Figure 2B). This increase was exclusively due to an increase in BPs, as we observed a doubling of the proportion of Sox2+ FP+ cells in both the ISVZ and OSVZ, but no increase in the VZ (Figure 2C), upon ARHGAP11B expression. These data in turn are consistent with the effects of ARHGAP11B described above (Figure 1—figure supplement 2B).

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We then analyzed the FP+ cells for the expression of the transcription factor Tbr2 (Figure 2A), a marker of certain BPs (Englund et al., 2005). In embryonic mouse neocortex, Tbr2 is not only expressed in the predominant type of BP, the basal intermediate progenitors (bIPs) which are known to be neurogenic (Haubensak et al., 2004; Miyata et al., 2004; Noctor et al., 2004), but also (in contrast to an earlier report (Wang et al., 2011)) in the vast majority of mitotic bRG (Florio et al., 2015), which exhibit a low proliferative capacity (Wang et al., 2011). In contrast, human bRG, which exhibit a high proliferative capacity (Hansen et al., 2010; LaMonica et al., 2013), largely lack Tbr2 expression (Fietz et al., 2010; Hansen et al., 2010). Extrapolating from these data on mouse and human BPs to the bRG in embryonic ferret neocortex, many of which express Tbr2 (Reillo et al., 2011), it appears justified to assume that a portion of the latter bRG may be neurogenic and exhibit a reduced proliferative capacity. Consistent with this assumption and with the effects of ARHGAP11B expression on neural progenitors in the developing ferret neocortex described so far, we observed, upon expression of ARHGAP11B for 7 days, a decrease in the proportion of Tbr2+ FP+ progenitors in all GZs, which was statistically significant for the VZ (Figure 2D,E).

In order to potentially obtain further cues as to the proliferative capacity of the ARHGAP11B-increased bRG in the developing ferret neocortex, we focused our attention on progenitor cells that (i) exhibited a radial morphology, (ii) expressed Sox2, but (iii) lacked Tbr2 expression (Figure 2F). Upon ARHGAP11B expression, we observed, in the sum of the GZs, a 20% increase in the proportion of radial Sox2+ cells that were Tbr2– (Figure 2G). This was largely due to an increase in the proportion of these cells in the OSVZ (Figure 2H), where more than 90% were Tbr2–. Considering that the ISVZ is the GZ with the highest amount of Tbr2+ BPs (Figure 2A), we examined the relative proportions of Sox2+ Trb2– and Sox2+ Tbr2+ BPs in the ISVZ and did not observe any significant difference in these proportions between control and ARHGAP11B expression (Figure 2—figure supplement 1).

These findings are consistent with the notion that the ARHGAP11B-increased radial Sox2+ Tbr2– cells in the OSVZ are bRG. Studies in fetal human neocortex have established that such cells in the OSVZ are highly proliferative (Hansen et al., 2010 and LaMonica et al., 2013; for reviews see Florio and Huttner, 2014 and Lui et al., 2011). Hence, our finding that expression of ARHGAP11B in developing ferret neocortex results in a marked increase in the proportion of these cells suggests that this human-specific gene is sufficient to promote, in a gyrencephalic carnivore, the generation of bRG with putatively increased proliferative capacity.

ARHGAP11B expression in developing ferret neocortex results in an extended neurogenic period

We investigated the potential consequences of the ARHGAP11B-elicited increase in the abundance of BPs, notably of Sox2+ Tbr2– bRG, for neurogenesis in the developing ferret neocortex. To this end, we immunostained E40/P0 ferret neocortex for Tbr1, a transcription factor which is a marker of deep-layer neurons (Kolk et al., 2006) (Figure 3—figure supplement 1A), and for Satb2, a transcriptional regulator which is expressed in neurons that establish callosal projections and that are highly enriched in the upper layers of the cortical plate (CP) (Alcamo et al., 2008; Britanova et al., 2008) (Figure 3A). The vast majority (>90%) of the FP+ neurons in the CP of both control and ARHGAP11B-expressing ferret neocortex were found to be Satb2+ (Figure 3—figure supplement 1B). This high percentage is consistent with our experimental approach in which we targeted the embryonic ferret neural progenitors by in utero electroporation at E33, that is the time when the generation of the upper-layer neurons starts (Jackson et al., 1989; Martínez-Martínez et al., 2016).

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Analysis of the distribution of Satb2+ FP+ neurons at E40/P0 between the CP on the one hand side, and the GZs plus the intermediate zone (IZ) on the other hand side, revealed that around 60% of the neurons had reached the CP in both control and ARHGAP11B-expressing ferret neocortex (Figure 3B left). We next examined electroporated ferret neocortex at P10 (Figure 3—figure supplement 2; analysis confined to gyri), which is the stage when neuron production is completed and neuron migration is terminating in the motor and somatosensory areas (Jackson et al., 1989; Smart and McSherry, 1986a; Smart and McSherry, 1986b). Consistent with this, our analysis of the control brains revealed that more than 90% of the Satb2+ FP+ neurons had reached the CP (Figure 3B middle). In contrast, only 70% of the Satb2+ FP+ neurons were found in the CP of the ARHGAP11B-expressing neocortex (Figure 3B middle). However, at P16, nearly all Satb2+ FP+ neurons were found in the CP in both control and ARHGAP11B-expressing neocortex (Figure 3B right; again, analysis confined to gyri). These data suggested that upon ARHGAP11B expression, either neurons migrate more slowly to the CP, or the neurogenic period is extended.

To explore the latter scenario, we injected EdU into P5 ferret kits (i.e. 12 days after electroporation), which is the stage when neuronal progenitors undergo their very last neuron-generating cell divisions in the motor and somatosensory areas of the neocortex (Jackson et al., 1989; Smart and McSherry, 1986a; Smart and McSherry, 1986b). Analysis 11 days after EdU injection, at P16 (Figure 3C), revealed a 4-fold increase in the proportion of FP+ cells that were EdU+, in neocortical gyri of ARHGAP11B-expressing kits compared to control (Figure 3D). This was consistent with a prolonged, and hence increased, production of cells in ARHGAP11B-expressing kits, which in turn would be in line with the above described finding that ARHGAP11B increases the abundance of proliferative bRG. Importantly, among the EdU+ FP+ cells of the ARHGAP11B-expressing neocortex, 20% were Satb2+ neurons (Figure 3C' and E). In contrast, we did not detect a single Satb2+ EdU+ FP+ neuron in any of the control neocortices (Figure 3E). Collectively, these data indicate that neurogenesis in ARHGAP11B-expressing ferret neocortex continues longer than in control neocortex.

ARHGAP11B expression in developing ferret neocortex results in a greater abundance of upper-layer neurons

In light of the extension of the neurogenic period upon ARHGAP11B expression, we examined a potential increase in the abundance of the last-born neurons, that is, the upper-layer neurons. To this end, we first performed Nissl staining of the P16 ferret neocortex to visualize all neurons and the various layers of the CP, and immunostaining for Satb2, which is expressed in the majority of upper-layer neurons (Alcamo et al., 2008; Britanova et al., 2008; Lodato and Arlotta, 2015) (Figure 4A). These analyses, carried out on gyri, revealed (i) an increase in the abundance of FP+ cells in the CP (Figure 4—figure supplement 1A), and (ii) an alteration in the distribution of the FP+ cells between layers II-VI of the CP, with a greater proportion of cells in layers II-IV (Figure 4—figure supplement 1B), in the ARHGAP11B-expressing neocortex compared to control. A similar abundance increase (Figure 4—figure supplement 1C) and altered distribution (Figure 4B) were observed for Satb2+ FP+ neurons. Furthermore, the proportion of FP+ cells in the CP that were Satb2+ neurons was increased upon ARHGAP11B expression (Figure 4C).

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We sought to corroborate these data by immunostaining the P16 ferret neocortex for Brn2 (Pou3f2, Figure 4—figure supplement 2A), a transcription factor considered to be a marker of layer II and III neurons (Dominguez et al., 2013; McEvilly et al., 2002; Sugitani et al., 2002). Quantification of Brn2+ FP+ cells in layers II and III of gyri revealed a marked increase in the abundance of these cells (Figure 4—figure supplement 2B) and in the proportion of FP+ cells that were Brn2+ neurons (Figure 4D), in ARHGAP11B-expressing kits compared to control. Of note, the effects of ARHGAP11B expression on the Brn2+ neurons were of a greater degree than those on the Satb2+ neurons (compare Figure 4—figure supplement 2B with Figure 4—figure supplement 1C; Figure 4, panel D with panel C), in line with the notion that Brn2 exhibits a greater specificity for layer II and III neurons than Satb2 (Dominguez et al., 2013; Sugitani et al., 2002). Taken together, our data indicate that the extension of the neurogenic period upon ARHGAP11B expression in the developing ferret neocortex is accompanied by an increase in the abundance of layer II and III neurons.

We have shown that expression of a single human-specific gene, ARHGAP11B, which has been implicated in the evolutionary expansion of the human neocortex (Florio et al., 2015; Florio et al., 2016), is sufficient to elicit features in the developing ferret neocortex that are characteristically associated with a further expanded neocortex such as human. These features include (i) an increase in the pool size of proliferative BPs, notably proliferative bRG; (ii) a lengthening of the neurogenic period; (iii) an increased generation of neurons, in particular of upper-layer neurons; and (iv) an increase in the size of the CP that harbours these additional neurons, reflected by a greater thickness of its upper layers and a larger lateral length of the dorsal neocortex.

All data generated or analysed during this study are included in the manuscript and supporting files.

1. 1. Alcamo EA
   2. Chirivella L
   3. Dautzenberg M
   4. Dobreva G
   5. Fariñas I
   6. Grosschedl R
   7. McConnell SK

   (2008) Satb2 regulates callosal projection neuron identity in the developing cerebral cortex

   Neuron 57:364–377.

   https://doi.org/10.1016/j.neuron.2007.12.012

   • PubMed
   • Google Scholar
2. 1. Arai Y
   2. Pulvers JN
   3. Haffner C
   4. Schilling B
   5. Nüsslein I
   6. Calegari F
   7. Huttner WB

   (2011) Neural stem and progenitor cells shorten S-phase on commitment to neuron production

   Nature Communications 2:154.

   https://doi.org/10.1038/ncomms1155

   • PubMed
   • Google Scholar
3. 1. Azevedo FA
   2. Carvalho LR
   3. Grinberg LT
   4. Farfel JM
   5. Ferretti RE
   6. Leite RE
   7. Jacob Filho W
   8. Lent R
   9. Herculano-Houzel S

   (2009) Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain

   The Journal of Comparative Neurology 513:532–541.

   https://doi.org/10.1002/cne.21974

   • PubMed
   • Google Scholar
4. 1. Bailey JA
   2. Gu Z
   3. Clark RA
   4. Reinert K
   5. Samonte RV
   6. Schwartz S
   7. Adams MD
   8. Myers EW
   9. Li PW
   10. Eichler EE

   (2002) Recent segmental duplications in the human genome

   Science 297:1003–1007.

   https://doi.org/10.1126/science.1072047

   • PubMed
   • Google Scholar
5. 1. Barnette AR
   2. Neil JJ
   3. Kroenke CD
   4. Griffith JL
   5. Epstein AA
   6. Bayly PV
   7. Knutsen AK
   8. Inder TE

   (2009) Characterization of brain development in the ferret via MRI

   Pediatric Research 66:80–84.

   https://doi.org/10.1203/PDR.0b013e3181a291d9

   • PubMed
   • Google Scholar
6. 1. Betizeau M
   2. Cortay V
   3. Patti D
   4. Pfister S
   5. Gautier E
   6. Bellemin-Ménard A
   7. Afanassieff M
   8. Huissoud C
   9. Douglas RJ
   10. Kennedy H
   11. Dehay C

   (2013) Precursor diversity and complexity of lineage relationships in the outer subventricular zone of the primate

   Neuron 80:442–457.

   https://doi.org/10.1016/j.neuron.2013.09.032

   • PubMed
   • Google Scholar
7. 1. Bininda-Emonds OR
   2. Cardillo M
   3. Jones KE
   4. MacPhee RD
   5. Beck RM
   6. Grenyer R
   7. Price SA
   8. Vos RA
   9. Gittleman JL
   10. Purvis A

   (2007) The delayed rise of present-day mammals

   Nature 446:507–512.

   https://doi.org/10.1038/nature05634

   • PubMed
   • Google Scholar
8. 1. Borrell V
   2. Götz M

   (2014) Role of radial glial cells in cerebral cortex folding

   Current Opinion in Neurobiology 27:39–46.

   https://doi.org/10.1016/j.conb.2014.02.007

   • PubMed
   • Google Scholar
9. 1. Borrell V
   2. Reillo I

   (2012) Emerging roles of neural stem cells in cerebral cortex development and evolution

   Developmental Neurobiology 72:955–971.

   https://doi.org/10.1002/dneu.22013

   • PubMed
   • Google Scholar
10. 1. Borrell V

    (2018) How cells fold the cerebral cortex

    The Journal of Neuroscience 38:776–783.

    https://doi.org/10.1523/JNEUROSCI.1106-17.2017

    • PubMed
    • Google Scholar
11. 1. Britanova O
    2. de Juan Romero C
    3. Cheung A
    4. Kwan KY
    5. Schwark M
    6. Gyorgy A
    7. Vogel T
    8. Akopov S
    9. Mitkovski M
    10. Agoston D
    11. Sestan N
    12. Molnár Z
    13. Tarabykin V

    (2008) Satb2 is a postmitotic determinant for upper-layer neuron specification in the neocortex

    Neuron 57:378–392.

    https://doi.org/10.1016/j.neuron.2007.12.028

    • PubMed
    • Google Scholar
12. 1. Dehay C
    2. Kennedy H
    3. Kosik KS

    (2015) The outer subventricular zone and primate-specific cortical complexification

    Neuron 85:683–694.

    https://doi.org/10.1016/j.neuron.2014.12.060

    • PubMed
    • Google Scholar
13. 1. Dennis MY
    2. Eichler EE

    (2016) Human adaptation and evolution by segmental duplication

    Current Opinion in Genetics & Development 41:44–52.

    https://doi.org/10.1016/j.gde.2016.08.001

    • PubMed
    • Google Scholar
14. 1. Dennis MY
    2. Harshman L
    3. Nelson BJ
    4. Penn O
    5. Cantsilieris S
    6. Huddleston J
    7. Antonacci F
    8. Penewit K
    9. Denman L
    10. Raja A
    11. Baker C
    12. Mark K
    13. Malig M
    14. Janke N
    15. Espinoza C
    16. Stessman HAF
    17. Nuttle X
    18. Hoekzema K
    19. Lindsay-Graves TA
    20. Wilson RK
    21. Eichler EE

    (2017) The evolution and population diversity of human-specific segmental duplications

    Nature Ecology & Evolution 1:0069.

    https://doi.org/10.1038/s41559-016-0069

    • Google Scholar
15. 1. Dominguez MH
    2. Ayoub AE
    3. Rakic P

    (2013) POU-III transcription factors (Brn1, Brn2, and Oct6) influence neurogenesis, molecular identity, and migratory destination of upper-layer cells of the cerebral cortex

    Cerebral Cortex 23:2632–2643.

    https://doi.org/10.1093/cercor/bhs252

    • PubMed
    • Google Scholar
16. 1. Englund C
    2. Fink A
    3. Lau C
    4. Pham D
    5. Daza RA
    6. Bulfone A
    7. Kowalczyk T
    8. Hevner RF

    (2005) Pax6, Tbr2, and Tbr1 are expressed sequentially by radial glia, intermediate progenitor cells, and postmitotic neurons in developing neocortex

    Journal of Neuroscience 25:247–251.

    https://doi.org/10.1523/JNEUROSCI.2899-04.2005

    • PubMed
    • Google Scholar
17. 1. Fame RM
    2. MacDonald JL
    3. Macklis JD

    (2011) Development, specification, and diversity of callosal projection neurons

    Trends in Neurosciences 34:41–50.

    https://doi.org/10.1016/j.tins.2010.10.002

    • PubMed
    • Google Scholar
18. 1. Fei JF
    2. Haffner C
    3. Huttner WB

    (2014) 3' UTR-dependent, miR-92-mediated restriction of Tis21 expression maintains asymmetric neural stem cell division to ensure proper neocortex size

    Cell Reports 7:398–411.

    https://doi.org/10.1016/j.celrep.2014.03.033

    • PubMed
    • Google Scholar
19. 1. Fernández V
    2. Llinares-Benadero C
    3. Borrell V

    (2016) Cerebral cortex expansion and folding: what have we learned?

    The EMBO Journal 35:1021–1044.

    https://doi.org/10.15252/embj.201593701

    • PubMed
    • Google Scholar
20. 1. Fiddes IT
    2. Lodewijk GA
    3. Mooring M
    4. Bosworth CM
    5. Ewing AD
    6. Mantalas GL
    7. Novak AM
    8. van den Bout A
    9. Bishara A
    10. Rosenkrantz JL
    11. Lorig-Roach R
    12. Field AR
    13. Haeussler M
    14. Russo L
    15. Bhaduri A
    16. Nowakowski TJ
    17. Pollen AA
    18. Dougherty ML
    19. Nuttle X
    20. Addor MC
    21. Zwolinski S
    22. Katzman S
    23. Kriegstein A
    24. Eichler EE
    25. Salama SR
    26. Jacobs FMJ
    27. Haussler D

    (2018) Human-specific notch2nl genes affect notch signaling and cortical neurogenesis

    Cell 173:1356–1369.

    https://doi.org/10.1016/j.cell.2018.03.051

    • PubMed
    • Google Scholar
21. 1. Fietz SA
    2. Kelava I
    3. Vogt J
    4. Wilsch-Bräuninger M
    5. Stenzel D
    6. Fish JL
    7. Corbeil D
    8. Riehn A
    9. Distler W
    10. Nitsch R
    11. Huttner WB

    (2010) OSVZ progenitors of human and ferret neocortex are epithelial-like and expand by integrin signaling

    Nature Neuroscience 13:690–699.

    https://doi.org/10.1038/nn.2553

    • PubMed
    • Google Scholar
22. 1. Florio M
    2. Albert M
    3. Taverna E
    4. Namba T
    5. Brandl H
    6. Lewitus E
    7. Haffner C
    8. Sykes A
    9. Wong FK
    10. Peters J
    11. Guhr E
    12. Klemroth S
    13. Prüfer K
    14. Kelso J
    15. Naumann R
    16. Nüsslein I
    17. Dahl A
    18. Lachmann R
    19. Pääbo S
    20. Huttner WB

    (2015) Human-specific gene ARHGAP11B promotes basal progenitor amplification and neocortex expansion

    Science 347:1465–1470.

    https://doi.org/10.1126/science.aaa1975

    • PubMed
    • Google Scholar
23. 1. Florio M
    2. Heide M
    3. Pinson A
    4. Brandl H
    5. Albert M
    6. Winkler S
    7. Wimberger P
    8. Huttner WB
    9. Hiller M

    (2018) Evolution and cell-type specificity of human-specific genes preferentially expressed in progenitors of fetal neocortex

    eLife 7:e32332.

    https://doi.org/10.7554/eLife.32332

    • PubMed
    • Google Scholar
24. 1. Florio M
    2. Huttner WB

    (2014) Neural progenitors, neurogenesis and the evolution of the neocortex

    Development 141:2182–2194.

    https://doi.org/10.1242/dev.090571

    • PubMed
    • Google Scholar
25. 1. Florio M
    2. Namba T
    3. Pääbo S
    4. Hiller M
    5. Huttner WB

    (2016) A single splice site mutation in human-specific ARHGAP11B causes basal progenitor amplification

    Science Advances 2:e1601941.

    https://doi.org/10.1126/sciadv.1601941

    • PubMed
    • Google Scholar
26. 1. Gertz CC
    2. Kriegstein AR

    (2015) Neuronal migration dynamics in the developing ferret cortex

    Journal of Neuroscience 35:14307–14315.

    https://doi.org/10.1523/JNEUROSCI.2198-15.2015

    • PubMed
    • Google Scholar
27. 1. Geschwind DH
    2. Rakic P

    (2013) Cortical evolution: judge the brain by its cover

    Neuron 80:633–647.

    https://doi.org/10.1016/j.neuron.2013.10.045

    • PubMed
    • Google Scholar
28. 1. Götz M
    2. Huttner WB

    (2005) The cell biology of neurogenesis

    Nature Reviews Molecular Cell Biology 6:777–788.

    https://doi.org/10.1038/nrm1739

    • PubMed
    • Google Scholar
29. 1. Hansen DV
    2. Lui JH
    3. Parker PR
    4. Kriegstein AR

    (2010) Neurogenic radial glia in the outer subventricular zone of human neocortex

    Nature 464:554–561.

    https://doi.org/10.1038/nature08845

    • PubMed
    • Google Scholar
30. 1. Haubensak W
    2. Attardo A
    3. Denk W
    4. Huttner WB

    (2004) Neurons arise in the basal neuroepithelium of the early mammalian telencephalon: a major site of neurogenesis

    PNAS 101:3196–3201.

    https://doi.org/10.1073/pnas.0308600100

    • PubMed
    • Google Scholar
31. 1. Herculano-Houzel S
    2. Catania K
    3. Manger PR
    4. Kaas JH

    (2015) Mammalian brains are made of these: a dataset of the numbers and densities of neuronal and nonneuronal cells in the brain of glires, primates, scandentia, eulipotyphlans, afrotherians and artiodactyls, and their relationship with body mass

    Brain, Behavior and Evolution 86:145–163.

    https://doi.org/10.1159/000437413

    • PubMed
    • Google Scholar
32. 1. Hutsler JJ
    2. Lee DG
    3. Porter KK

    (2005) Comparative analysis of cortical layering and supragranular layer enlargement in rodent carnivore and primate species

    Brain Research 1052:71–81.

    https://doi.org/10.1016/j.brainres.2005.06.015

    • PubMed
    • Google Scholar
33. 1. Jackson CA
    2. Peduzzi JD
    3. Hickey TL

    (1989) Visual cortex development in the ferret. I. Genesis and migration of visual cortical neurons

    The Journal of Neuroscience 9:1242–1253.

    https://doi.org/10.1523/JNEUROSCI.09-04-01242.1989

    • PubMed
    • Google Scholar
34. 1. Jardim-Messeder D
    2. Lambert K
    3. Noctor S
    4. Pestana FM
    5. de Castro Leal ME
    6. Bertelsen MF
    7. Alagaili AN
    8. Mohammad OB
    9. Manger PR
    10. Herculano-Houzel S

    (2017) Dogs have the most neurons, though not the largest brain: trade-off between body mass and number of neurons in the cerebral cortex of large carnivoran species

    Frontiers in Neuroanatomy 11:118.

    https://doi.org/10.3389/fnana.2017.00118

    • PubMed
    • Google Scholar
35. 1. Kaas JH

    (2013) The evolution of brains from early mammals to humans

    Wiley Interdisciplinary Reviews: Cognitive Science 4:33–45.

    https://doi.org/10.1002/wcs.1206

    • PubMed
    • Google Scholar
36. 1. Kagawa Y
    2. Matsumoto S
    3. Kamioka Y
    4. Mimori K
    5. Naito Y
    6. Ishii T
    7. Okuzaki D
    8. Nishida N
    9. Maeda S
    10. Naito A
    11. Kikuta J
    12. Nishikawa K
    13. Nishimura J
    14. Haraguchi N
    15. Takemasa I
    16. Mizushima T
    17. Ikeda M
    18. Yamamoto H
    19. Sekimoto M
    20. Ishii H
    21. Doki Y
    22. Matsuda M
    23. Kikuchi A
    24. Mori M
    25. Ishii M

    (2013) Cell cycle-dependent Rho GTPase activity dynamically regulates cancer cell motility and invasion in vivo

    PLoS One 8:e83629.

    https://doi.org/10.1371/journal.pone.0083629

    • PubMed
    • Google Scholar
37. 1. Kalebic N
    2. Taverna E
    3. Tavano S
    4. Wong FK
    5. Suchold D
    6. Winkler S
    7. Huttner WB
    8. Sarov M

    (2016) CRISPR/Cas9-induced disruption of gene expression in mouse embryonic brain and single neural stem cells in vivo

    EMBO reports 17:338–348.

    https://doi.org/10.15252/embr.201541715

    • PubMed
    • Google Scholar
38. Book

    1. Kalebic N
    2. Long K
    3. Huttner WB

    (2017) Neocortex expansion in development and evolution: the cell biology of neural stem and progenitor cells and the impact of human-specific gene expression

    In: Kaas J, editors. Evolution of Nervous Systems (2). Oxford: Elsevier. pp. 73–89.

    https://doi.org/10.1016/B978-0-12-804042-3.00136-6

    • Google Scholar
39. 1. Kawasaki H
    2. Iwai L
    3. Tanno K

    (2012) Rapid and efficient genetic manipulation of gyrencephalic carnivores using in utero electroporation

    Molecular Brain 5:24.

    https://doi.org/10.1186/1756-6606-5-24

    • PubMed
    • Google Scholar
40. 1. Kawasaki H
    2. Toda T
    3. Tanno K

    (2013) In vivo genetic manipulation of cortical progenitors in gyrencephalic carnivores using in utero electroporation

    Biology Open 2:95–100.

    https://doi.org/10.1242/bio.20123160

    • PubMed
    • Google Scholar
41. 1. Kawasaki H

    (2014) Molecular investigations of the brain of higher mammals using gyrencephalic carnivore ferrets

    Neuroscience Research 86:59–65.

    https://doi.org/10.1016/j.neures.2014.06.006

    • PubMed
    • Google Scholar
42. 1. Kolk SM
    2. Whitman MC
    3. Yun ME
    4. Shete P
    5. Donoghue MJ

    (2006) A unique subpopulation of Tbr1-expressing deep layer neurons in the developing cerebral cortex

    Molecular and Cellular Neuroscience 32:200–214.

    https://doi.org/10.1016/j.mcn.2005.08.022

    • PubMed
    • Google Scholar
43. 1. Kroenke CD
    2. Bayly PV

    (2018) How forces fold the cerebral cortex

    The Journal of Neuroscience 38:767–775.

    https://doi.org/10.1523/JNEUROSCI.1105-17.2017

    • PubMed
    • Google Scholar
44. 1. Krubitzer L

    (2007) The magnificent compromise: cortical field evolution in mammals

    Neuron 56:201–208.

    https://doi.org/10.1016/j.neuron.2007.10.002

    • PubMed
    • Google Scholar
45. 1. LaMonica BE
    2. Lui JH
    3. Hansen DV
    4. Kriegstein AR

    (2013) Mitotic spindle orientation predicts outer radial glial cell generation in human neocortex

    Nature Communications 4:1665.

    https://doi.org/10.1038/ncomms2647

    • PubMed
    • Google Scholar
46. 1. Lange C
    2. Huttner WB
    3. Calegari F

    (2009) Cdk4/cyclinD1 overexpression in neural stem cells shortens G1, delays neurogenesis, and promotes the generation and expansion of basal progenitors

    Cell Stem Cell 5:320–331.

    https://doi.org/10.1016/j.stem.2009.05.026

    • PubMed
    • Google Scholar
47. 1. Lewitus E
    2. Hof PR
    3. Sherwood CC

    (2012) Phylogenetic comparison of neuron and glia densities in the primary visual cortex and hippocampus of carnivores and primates

    Evolution 66:2551–2563.

    https://doi.org/10.1111/j.1558-5646.2012.01601.x

    • PubMed
    • Google Scholar
48. 1. Lewitus E
    2. Kelava I
    3. Kalinka AT
    4. Tomancak P
    5. Huttner WB

    (2014) An adaptive threshold in mammalian neocortical evolution

    PLoS Biology 12:e1002000.

    https://doi.org/10.1371/journal.pbio.1002000

    • PubMed
    • Google Scholar
49. 1. Lodato S
    2. Arlotta P

    (2015) Generating neuronal diversity in the mammalian cerebral cortex

    Annual Review of Cell and Developmental Biology 31:699–720.

    https://doi.org/10.1146/annurev-cellbio-100814-125353

    • PubMed
    • Google Scholar
50. 1. López-Hidalgo M
    2. Hoover WB
    3. Schummers J

    (2016) Spatial organization of astrocytes in ferret visual cortex

    Journal of Comparative Neurology 524:3561–3576.

    https://doi.org/10.1002/cne.24015

    • PubMed
    • Google Scholar
51. 1. Lui JH
    2. Hansen DV
    3. Kriegstein AR

    (2011) Development and evolution of the human neocortex

    Cell 146:18–36.

    https://doi.org/10.1016/j.cell.2011.06.030

    • PubMed
    • Google Scholar
52. 1. Martínez-Martínez MÁ
    2. De Juan Romero C
    3. Fernández V
    4. Cárdenas A
    5. Götz M
    6. Borrell V

    (2016) A restricted period for formation of outer subventricular zone defined by Cdh1 and Trnp1 levels

    Nature Communications 7:11812.

    https://doi.org/10.1038/ncomms11812

    • PubMed
    • Google Scholar
53. 1. Matsumoto N
    2. Shinmyo Y
    3. Ichikawa Y
    4. Kawasaki H

    (2017) Gyrification of the cerebral cortex requires FGF signaling in the mammalian brain

    eLife 6:e29285.

    https://doi.org/10.7554/eLife.29285

    • PubMed
    • Google Scholar
54. 1. McEvilly RJ
    2. de Diaz MO
    3. Schonemann MD
    4. Hooshmand F
    5. Rosenfeld MG

    (2002) Transcriptional regulation of cortical neuron migration by POU domain factors

    Science 295:1528–1532.

    https://doi.org/10.1126/science.1067132

    • PubMed
    • Google Scholar
55. 1. Miyata T
    2. Kawaguchi A
    3. Saito K
    4. Kawano M
    5. Muto T
    6. Ogawa M

    (2004) Asymmetric production of surface-dividing and non-surface-dividing cortical progenitor cells

    Development 131:3133–3145.

    https://doi.org/10.1242/dev.01173

    • PubMed
    • Google Scholar
56. 1. Mo Z
    2. Zecevic N

    (2009) Human fetal radial glia cells generate oligodendrocytes in vitro

    Glia 57:490–498.

    https://doi.org/10.1002/glia.20775

    • PubMed
    • Google Scholar
57. 1. Molnár Z
    2. Métin C
    3. Stoykova A
    4. Tarabykin V
    5. Price DJ
    6. Francis F
    7. Meyer G
    8. Dehay C
    9. Kennedy H

    (2006) Comparative aspects of cerebral cortical development

    European Journal of Neuroscience 23:921–934.

    https://doi.org/10.1111/j.1460-9568.2006.04611.x

    • PubMed
    • Google Scholar
58. 1. Molyneaux BJ
    2. Arlotta P
    3. Menezes JR
    4. Macklis JD

    (2007) Neuronal subtype specification in the cerebral cortex

    Nature Reviews Neuroscience 8:427–437.

    https://doi.org/10.1038/nrn2151

    • PubMed
    • Google Scholar
59. 1. Noctor SC
    2. Martínez-Cerdeño V
    3. Ivic L
    4. Kriegstein AR

    (2004) Cortical neurons arise in symmetric and asymmetric division zones and migrate through specific phases

    Nature Neuroscience 7:136–144.

    https://doi.org/10.1038/nn1172

    • PubMed
    • Google Scholar
60. 1. Nonaka-Kinoshita M
    2. Reillo I
    3. Artegiani B
    4. Martínez-Martínez MÁ
    5. Nelson M
    6. Borrell V
    7. Calegari F

    (2013) Regulation of cerebral cortex size and folding by expansion of basal progenitors

    The EMBO Journal 32:1817–1828.

    https://doi.org/10.1038/emboj.2013.96

    • PubMed
    • Google Scholar
61. 1. Otani T
    2. Marchetto MC
    3. Gage FH
    4. Simons BD
    5. Livesey FJ

    (2016) 2D and 3D stem cell models of primate cortical development identify species-specific differences in progenitor behavior contributing to brain size

    Cell Stem Cell 18:467–480.

    https://doi.org/10.1016/j.stem.2016.03.003

    • PubMed
    • Google Scholar
62. 1. Pilaz LJ
    2. Patti D
    3. Marcy G
    4. Ollier E
    5. Pfister S
    6. Douglas RJ
    7. Betizeau M
    8. Gautier E
    9. Cortay V
    10. Doerflinger N
    11. Kennedy H
    12. Dehay C

    (2009) Forced G1-phase reduction alters mode of division, neuron number, and laminar phenotype in the cerebral cortex

    PNAS 106:21924–21929.

    https://doi.org/10.1073/pnas.0909894106

    • PubMed
    • Google Scholar
63. 1. Pollen AA
    2. Nowakowski TJ
    3. Chen J
    4. Retallack H
    5. Sandoval-Espinosa C
    6. Nicholas CR
    7. Shuga J
    8. Liu SJ
    9. Oldham MC
    10. Diaz A
    11. Lim DA
    12. Leyrat AA
    13. West JA
    14. Kriegstein AR

    (2015) Molecular identity of human outer radial glia during cortical development

    Cell 163:55–67.

    https://doi.org/10.1016/j.cell.2015.09.004

    • PubMed
    • Google Scholar
64. 1. Poluch S
    2. Juliano SL

    (2015) Fine-tuning of neurogenesis is essential for the evolutionary expansion of the cerebral cortex

    Cerebral Cortex 25:346–364.

    https://doi.org/10.1093/cercor/bht232

    • PubMed
    • Google Scholar
65. 1. Rakic P

    (1972) Mode of cell migration to the superficial layers of fetal monkey neocortex

    The Journal of Comparative Neurology 145:61–83.

    https://doi.org/10.1002/cne.901450105

    • PubMed
    • Google Scholar
66. 1. Rakic P

    (1978)

    Neuronal migration and contact guidance in the primate telencephalon

    Postgraduate Medical Journal 54 Suppl 1:25–40.

    • PubMed
    • Google Scholar
67. 1. Rakic P

    (2003a) Developmental and evolutionary adaptations of cortical radial glia

    Cerebral Cortex 13:541–549.

    https://doi.org/10.1093/cercor/13.6.541

    • PubMed
    • Google Scholar
68. 1. Rakic P

    (2003b) Elusive radial glial cells: historical and evolutionary perspective

    Glia 43:19–32.

    https://doi.org/10.1002/glia.10244

    • PubMed
    • Google Scholar
69. 1. Rakic P

    (2009) Evolution of the neocortex: a perspective from developmental biology

    Nature Reviews Neuroscience 10:724–735.

    https://doi.org/10.1038/nrn2719

    • PubMed
    • Google Scholar
70. 1. Reillo I
    2. de Juan Romero C
    3. García-Cabezas MÁ
    4. Borrell V

    (2011) A role for intermediate radial glia in the tangential expansion of the mammalian cerebral cortex

    Cerebral Cortex 21:1674–1694.

    https://doi.org/10.1093/cercor/bhq238

    • PubMed
    • Google Scholar
71. 1. Reillo I
    2. Borrell V

    (2012) Germinal zones in the developing cerebral cortex of ferret: ontogeny, cell cycle kinetics, and diversity of progenitors

    Cerebral Cortex 22:2039–2054.

    https://doi.org/10.1093/cercor/bhr284

    • PubMed
    • Google Scholar
72. 1. Sawada K
    2. Watanabe M

    (2012) Development of cerebral sulci and gyri in ferrets (Mustela putorius)

    Congenital Anomalies 52:168–175.

    https://doi.org/10.1111/j.1741-4520.2012.00372.x

    • PubMed
    • Google Scholar
73. 1. Shinmyo Y
    2. Terashita Y
    3. Dinh Duong TA
    4. Horiike T
    5. Kawasumi M
    6. Hosomichi K
    7. Tajima A
    8. Kawasaki H

    (2017) Folding of the cerebral cortex requires Cdk5 in upper-layer neurons in gyrencephalic mammals

    Cell Reports 20:2131–2143.

    https://doi.org/10.1016/j.celrep.2017.08.024

    • PubMed
    • Google Scholar
74. 1. Shitamukai A
    2. Konno D
    3. Matsuzaki F

    (2011) Oblique radial glial divisions in the developing mouse neocortex induce self-renewing progenitors outside the germinal zone that resemble primate outer subventricular zone progenitors

    Journal of Neuroscience 31:3683–3695.

    https://doi.org/10.1523/JNEUROSCI.4773-10.2011

    • PubMed
    • Google Scholar
75. 1. Sidman RL
    2. Rakic P

    (1973) Neuronal migration, with special reference to developing human brain: a review

    Brain Research 62:1–35.

    https://doi.org/10.1016/0006-8993(73)90617-3

    • PubMed
    • Google Scholar
76. 1. Smart IH
    2. McSherry GM

    (1986a)

    Gyrus formation in the cerebral cortex in the ferret. I. Description of the external changes

    Journal of Anatomy 146:141–152.

    • PubMed
    • Google Scholar
77. 1. Smart IH
    2. McSherry GM

    (1986b)

    Gyrus formation in the cerebral cortex of the ferret. II. Description of the internal histological changes

    Journal of Anatomy 147:27–43.

    • PubMed
    • Google Scholar
78. 1. Smart IH
    2. Dehay C
    3. Giroud P
    4. Berland M
    5. Kennedy H

    (2002) Unique morphological features of the proliferative zones and postmitotic compartments of the neural epithelium giving rise to striate and extrastriate cortex in the monkey

    Cerebral Cortex 12:37–53.

    https://doi.org/10.1093/cercor/12.1.37

    • PubMed
    • Google Scholar
79. 1. Sousa AMM
    2. Meyer KA
    3. Santpere G
    4. Gulden FO
    5. Sestan N

    (2017) Evolution of the human nervous system function, structure, and development

    Cell 170:226–247.

    https://doi.org/10.1016/j.cell.2017.06.036

    • PubMed
    • Google Scholar
80. 1. Sugitani Y
    2. Nakai S
    3. Minowa O
    4. Nishi M
    5. Jishage K
    6. Kawano H
    7. Mori K
    8. Ogawa M
    9. Noda T

    (2002) Brn-1 and Brn-2 share crucial roles in the production and positioning of mouse neocortical neurons

    Genes & Development 16:1760–1765.

    https://doi.org/10.1101/gad.978002

    • PubMed
    • Google Scholar
81. 1. Suzuki IK
    2. Gacquer D
    3. Van Heurck R
    4. Kumar D
    5. Wojno M
    6. Bilheu A
    7. Herpoel A
    8. Lambert N
    9. Cheron J
    10. Polleux F
    11. Detours V
    12. Vanderhaeghen P

    (2018) Human-specific NOTCH2NL genes expand cortical neurogenesis through delta/notch regulation

    Cell 173:1370–1384.

    https://doi.org/10.1016/j.cell.2018.03.067

    • PubMed
    • Google Scholar
82. 1. Tarabykin V
    2. Stoykova A
    3. Usman N
    4. Gruss P

    (2001)

    Cortical upper layer neurons derive from the subventricular zone as indicated by Svet1 gene expression

    Development 128:1983–1993.

    • PubMed
    • Google Scholar
83. 1. Tavano S
    2. Taverna E
    3. Kalebic N
    4. Haffner C
    5. Namba T
    6. Dahl A
    7. Wilsch-Bräuninger M
    8. Paridaen J
    9. Huttner WB

    (2018) Insm1 induces neural progenitor delamination in developing neocortex via downregulation of the adherens junction belt-specific protein plekha7

    Neuron 97:1299–1314.

    https://doi.org/10.1016/j.neuron.2018.01.052

    • PubMed
    • Google Scholar
84. 1. Turrero García M
    2. Chang Y
    3. Arai Y
    4. Huttner WB

    (2016) S-phase duration is the main target of cell cycle regulation in neural progenitors of developing ferret neocortex

    Journal of Comparative Neurology 524:456–470.

    https://doi.org/10.1002/cne.23801

    • PubMed
    • Google Scholar
85. 1. Voigt T

    (1989) Development of glial cells in the cerebral wall of ferrets: direct tracing of their transformation from radial glia into astrocytes

    The Journal of Comparative Neurology 289:74–88.

    https://doi.org/10.1002/cne.902890106

    • PubMed
    • Google Scholar
86. 1. Wang X
    2. Tsai JW
    3. LaMonica B
    4. Kriegstein AR

    (2011) A new subtype of progenitor cell in the mouse embryonic neocortex

    Nature Neuroscience 14:555–561.

    https://doi.org/10.1038/nn.2807

    • PubMed
    • Google Scholar
87. 1. Wilsch-Bräuninger M
    2. Florio M
    3. Huttner WB

    (2016) Neocortex expansion in development and evolution - from cell biology to single genes

    Current Opinion in Neurobiology 39:122–132.

    https://doi.org/10.1016/j.conb.2016.05.004

    • PubMed
    • Google Scholar
88. 1. Wong FK
    2. Fei JF
    3. Mora-Bermúdez F
    4. Taverna E
    5. Haffner C
    6. Fu J
    7. Anastassiadis K
    8. Stewart AF
    9. Huttner WB

    (2015) Sustained pax6 expression generates primate-like basal radial glia in developing mouse neocortex

    PLOS Biology 13:e1002217.

    https://doi.org/10.1371/journal.pbio.1002217

    • PubMed
    • Google Scholar

Author details

1. Nereo Kalebic

   Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

   Contribution

   Conceptualization, Formal analysis, Investigation, Visualization, Methodology, Writing—original draft, Writing—review and editing, Performed ferret in utero electroporations

   Competing interests

   No competing interests declared

   "This ORCID iD identifies the author of this article:" 0000-0002-8445-2906

2. Carlotta Gilardi

   Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

   Contribution

   Investigation, Visualization, Methodology, Assisted with ferret surgeries

   Competing interests

   No competing interests declared

3. Mareike Albert

   Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

   Contribution

   Investigation, RNA isolation, RT-qPCR and gene expression analysis

   Competing interests

   No competing interests declared

   "This ORCID iD identifies the author of this article:" 0000-0001-9855-9344

4. Takashi Namba

   Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

   Contribution

   Resources, ARHGAP11B construct and antibody

   Competing interests

   No competing interests declared

5. Katherine R Long

   Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

   Contribution

   Methodology, Assisted with ferret surgeries

   Competing interests

   No competing interests declared

   "This ORCID iD identifies the author of this article:" 0000-0003-0660-2486

6. Milos Kostic

   Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

   Contribution

   Methodology, Assisted with ferret surgeries

   Competing interests

   No competing interests declared

7. Barbara Langen

   Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

   Contribution

   Methodology, Ferret hysterectomy, Assisted with ferret in utero electroporations

   Competing interests

   No competing interests declared

8. Wieland B Huttner

   Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany

   Contribution

   Conceptualization, Supervision, Funding acquisition, Project administration, Writing—review and editing

   For correspondence

   huttner@mpi-cbg.de

   Competing interests

   No competing interests declared

   "This ORCID iD identifies the author of this article:" 0000-0003-4143-7201

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