Kruppel-like factor 4-dependent Staufen1-mediated mRNA decay regulates cortical neurogenesis

Moon, Byoung-San; Bai, Jinlun; Cai, Mingyang; Liu, Chunming; Shi, Jiandang; Lu, Wange

doi:10.1038/s41467-017-02720-9

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Published: 26 January 2018

Kruppel-like factor 4-dependent Staufen1-mediated mRNA decay regulates cortical neurogenesis

Byoung-San Moon ORCID: orcid.org/0000-0003-4671-4810^1,2,
Jinlun Bai¹,
Mingyang Cai¹,
Chunming Liu³,
Jiandang Shi² &
…
Wange Lu¹

Nature Communications volume 9, Article number: 401 (2018) Cite this article

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Abstract

Kruppel-like factor 4 (Klf4) is a zinc-finger-containing protein that plays a critical role in diverse cellular physiology. While most of these functions attribute to its role as a transcription factor, it is postulated that Klf4 may play a role other than transcriptional regulation. Here we demonstrate that Klf4 loss in neural progenitor cells (NPCs) leads to increased neurogenesis and reduced self-renewal in mice. In addition, Klf4 interacts with RNA-binding protein Staufen1 (Stau1) and RNA helicase Ddx5/17. They function together as a complex to maintain NPC self-renewal. We report that Klf4 promotes Stau1 recruitment to the 3′-untranslated region of neurogenesis-associated mRNAs, increasing Stau1-mediated mRNA decay (SMD) of these transcripts. Stau1 depletion abrogated SMD of target mRNAs and rescued neurogenesis defects in Klf4-overexpressing NPCs. Furthermore, Ddx5/17 knockdown significantly blocked Klf4-mediated mRNA degradation. Our results highlight a novel molecular mechanism underlying stability of neurogenesis-associated mRNAs controlled by the Klf4/Ddx5/17/Stau1 axis during mammalian corticogenesis.

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Introduction

Neurogenesis is a complex process by which neurons and glial cells are generated from neural progenitor cells (NPCs). Depending on the stage of development, NPCs can either self-renew or differentiate to generate diverse types of neuronal and glial progeny¹. This balance is finely controlled to ensure proper development of the nervous system and to maintain homeostasis in adult brain². Not surprisingly, perturbation of this balance leads to various diseases, including cancer^3,4,5. Although multiple signaling pathways influencing cell fate determination in NPCs have been investigated, including cell polarity, intra-cellular and inter-cellular signaling, transcription regulation, and epigenetic modification, questions remain, among which how post-transcriptional regulation of gene expression affects neurogenesis^6,7.

Kruppel-like factor 4 (Klf4) is a zinc-finger-containing transcription factor that plays a critical role in various biological processes, including proliferation, differentiation, and apoptosis⁸. It was first characterized as a regulator of epithelial cell maturation in the skin^9,10 and goblet cell differentiation in the colon¹¹. Klf4 also regulates embryonic stem cell self-renewal^12,13 and together with Oct4, Sox2, and c-Myc can reprogram somatic cells into induced pluripotent stem cells^14,15. In the central nervous system, Klf4 expression inhibits axon regeneration in retinal ganglion cells by suppressing DNA-binding activity of phosphorylated signal transducer and activator of transcription 3^16,17. Klf4 is also expressed in NPCs, where its developmental down-regulation is crucial for radial migration and maturation of newly born neurons¹⁸. Klf4 dysregulation is associated with hydrocephalus phenotypes seen in transgenic mice with Klf4 selectively overexpressed in NPCs¹⁹.

Staufen1 (Stau1) is a double-stranded (ds) RNA-binding protein functioning in post-translational mRNA regulation²⁰. Drosophila Stau localizes bicoid and oskar mRNAs during oogenesis to form proper anteroposterior axis^21,22. In the Drosophila developing nervous system, Stau is responsible for establishing asymmetry by localizing prospero mRNA into different daughter cells of the neuroblasts²³. The mammalian homologs Stau1 and Stau2 contain several conserved dsRNA-binding domains and participate both in mRNA transport or localization activities and in mRNA decay^24,25,26. In NPCs, asymmetric distribution of Stau2 and cargo mRNAs contributes to asymmetric cell division and subsequent neuronal differentiation^27,28.

Stau1-mediated mRNA decay (SMD) is an mRNA degradation pathway that regulates biological processes as varied as myogenesis²⁹, adipogenesis³⁰, and cutaneous wound healing³¹. Unlike nonsense-mediated mRNA decay (NMD), SMD usually occurs following a normal translation termination event as a means to fine-tune the levels of transcripts harboring a Stau1 binding site (SBS)^20,32. SBSs form either by intramolecular base pairing in the 3′-untranslated region (3′-UTR) of a target mRNA or by base pairing between a 3′-UTR Alu element in one mRNA and a partially complementary Alu element in a different mRNA or long noncoding RNA^31,32,33,34. Stau1 recognizes SBSs located sufficiently downstream of a translation termination codon and recruits UPF1 to trigger mRNA decay³².

In this study, we show that neurogenesis-associated mRNAs in NPCs are degraded via the Stau1 pathway to maintain NPC identity, and this process is closely regulated by Klf4. Using immunohistochemistry and in vitro differentiation assays, we first show that Klf4 promotes NPC proliferation and inhibits differentiation in vivo and in vitro. Using mass-spectrometry (MS) and Western blot analysis, we then identified Stau1 and the RNA helicases Ddx5/17 as Klf4 interaction partners. We found that Stau1 recognizes specific neurogenesis-associated mRNAs and mediates their degradation. Through in vitro and in vivo photoactivatable ribonucleoside-enhanced crosslinking and immunoprecipitation (PAR-CLIP) and mRNA decay assays, we confirmed that mRNA degradation is controlled by binding of Stau1 with Klf4 and is dependent on Ddx5/17. Our results describe a new Klf4 function in the nervous system and reveal a novel mechanism underlying mammalian neurogenesis.

Results

Klf4 deletion enhances neurogenesis in vivo and in vitro

To assess Klf4 functions in neurogenesis, we generated a conditional knockout (cKO) mouse line by crossing Nestin-Cre with Klf4^fl/fl mice to delete Klf4 in ventricular/subventricular zone NPCs (Supplementary Fig. 1a, b). The depletion of Klf4 gene expression is confirmed in NPCs at the (sub)ventricular zone of klf4 cKO (Nes^cre;Klf^fl/fl) mice in vivo and cultured NPCs derived from the mice in vitro using immunochemistry and quantitative PCR (qPCR) analysis (Supplementary Fig. 1c–f). Immunohistochemical analysis of forebrain regions of embryonic cortices derived from wild-type (Klf4^fl/+) and klf4 cKO (Nes^cre;Klf^fl/fl) mice revealed an increase in the number of cells positive for Tuj1, an immature neuronal marker in Klf4 cKO versus wild-type controls (by ~7, ~9, and ~14% higher for Tuj1⁺ cells at E11.5, E14.5, and E18.5, respectively) (Fig. 1a; Supplementary Fig. 2a, b). We observed similar increases in post-mitotic deep-layer cortical neuron marker Tbr1 (by ~8, ~21, and ~6% higher for Tbr1⁺ cells at E11.5, E14.5, and E18.5, respectively) and in Tuj1 and Tbr1 double-positive cells (by ~5, ~10, and ~14% higher for Tuj1⁺ and Tbr1⁺ cells at E11.5, E14.5, and E18.5, respectively) (Fig. 1a; Supplementary Fig. 2a, b). The number of Map2-positive mature neurons or Dlx2-positive GABAergic neurons also significantly increased (Fig. 1a; Supplementary Fig. 2c, d and 3a, b). However, we observed slight differences in the number of cells positive for Tuj1, Tbr1, or Map2 in forebrain regions of embryonic cortices derived from postnatal day 2 (P2) (Supplementary Fig. 2a–d). To further examine neurogenesis defects in Klf4 cKO, we counted neurons in the six cortical layers that are born at different stages during corticogenesis, with deep-layer neurons preceding the birth of upper layer neurons. We performed immunostaining of triple markers to label different layers. No statistically significant differences in the number of Tbr1⁺/Ctip2^low layer 6 neurons that were born earlier in neurogenesis were observed between WT and Klf4 cKO (Supplementary Fig. 3c, d). However, the number of Ctip2-positive neurons at the layer 5 were significantly increased in Klf4 cKO brain (Supplementary Fig. 3c, d). The number of Satb2⁺/Ctip2⁻ neurons which label the upper layer 2 to 4 were also increased in the Klf4 cKO brain (by 62, 66, and 6.8% higher for Satb2⁺/Ctip2⁻ cells at E12.5, E18.5, and P2, respectively). However, the difference is significantly smaller at later stage of development compared with earlier stage. Overall, neurogenesis is increased in the Klf4 cKO brain. In Klf4 cKO mice, the number of Pax6-positive NPCs decreased significantly (by ~16 and ~11% lower for Pax6⁺ cells at E11.5 and E14.5, respectively) compared to wild-type mice (Fig. 1b). Moreover, in Klf4 cKO mice, the number of Ki67, Nestin, or Ki67 and Nestin double-positive NPCs decreased significantly (by ~8, ~5, and ~8% lower for Nestin⁺ cells, by ~0, ~6, and ~15% lower for Nestin⁺ cells, or by ~11, ~8, and ~4% lower for Ki67⁺/Nestin⁺ cells at E11.5, E14.5, and E18.5, respectively) compared with wild-type mice (Supplementary Fig. 4a, b). To rule out the possibility that the diminished number of progenitors during corticogenesis at Klf4 cKO mice is a result of increased cell death of progenitors, we stained E11.5, E14.5, E18.5, and P2 brain sections from the cortex with antibody against the activated form of cleaved caspase-3, a marker of apoptosis³⁵. There was no significant difference in apoptosis between wild-type and Klf4 cKO mice (Supplementary Fig. 5a, b). These results demonstrate that Klf4 loss in progenitors promotes an increase in neuron number and a concomitant decrease in NPC number. To assess direct effects of Klf4 loss on NPC differentiation capacity, we cultured wild-type and Klf4 cKO NPCs derived from E11.5 mouse brain in the presence of basic fibroblast growth factor (bFGF) and then withdrew bFGF to induce neural differentiation. Consistent with our in vivo results, over the course of differentiation, the number of Tuj1-positive and Map2-positive cells increased, while the number of Ki67-positive and BrdU-positive, or Nestin/Ki67 double-positive cells slightly decreased in Klf4 cKO NPCs cultures relative to wild-type controls (Fig. 1c, d; Supplementary Fig. 6a–c). We also assessed Klf4 function in NPC self-renewal activity using a single-cell clonal neural sphere formation assay. Spheres containing Klf4 cKO NPCs had significantly smaller diameters than those comprised of wild-type NPCs at 3 days of culture in vitro (DIV) during the first generation (P = 0.0013), and at 3, 5, and 7 DIV during the second generation (P = 0.024, 3DIV; P = 0.00087, 5 DIV; P = 0.0034, 7 DIV) (Fig. 1e), suggestive of a role for Klf4 in NPC self-renewal. Moreover, to determine the number of cells that exited the cell cycle in a 6-h period, we quantified the proportion of Ki67⁺, BrdU⁺, and Ki67⁺ or Ki67⁻ cells in the total BrdU⁺ cell population. Our results indicated that the self-renewing progenitor populations were increasingly depleted, as ~7 or ~11% more progenitors exited the cell cycle in Klf4 cKO NPCs compared with wild-type NPCs in P1 (passage 1) or P10 status (Supplementary Fig. 6d–g). Further analysis using reverse transcriptase qPCR (RT-qPCR) showed that Klf4 cKO NPCs exhibited increased expression of the neuronal markers Dlx1, Dlx2, Tuj1, Gad67, and NeuN (Fig. 1f). Taken together, these data suggest that a decreasing progenitor pool in Klf4 cKO mice available to generate the deep and low layer cortical neurons.

Klf4 regulates neuronal differentiation of NPCs

To further investigate whether Klf4 regulates neurogenesis, we knocked down endogenous Klf4 in cultured wild-type NPCs using shKlf4 lentivirus and then induced differentiation for 2 or 4 days. Under undifferentiated, 2-day or 4-day differentiated conditions, we observed a significant increase in Tuj1⁺ cells and Map2⁺ cells, a robust decrease in Nestin⁺ cells, and a slight decrease in Ki67⁺ cells in knockdown versus control cells (Fig. 2a, b). Further RT-qPCR analysis showed that cultures of Klf4 knockdown NPCs exhibited increased Dlx1, Dlx2, Tuj1, Gad67, and NeuN expression relative to controls (Fig. 2c). Several Klf4 short hairpin RNAs (shRNAs) were able to inhibit Klf4 expression (Supplementary Fig. 7a; Supplementary Table 1), and comparable phenotypes were observed using a different Klf4 shRNA (data not shown).

We also used a rescue experiment to assess Klf4 function in neurogenesis. To do so, we transfected Klf4 cKO NPCs with vectors expressing EGFP-Klf4 or EGFP-Ctrl to assess potential rescue effects. Indeed, compared to Klf4 cKO NPCs, transfected cells showed more rounded morphology and exhibited significantly shorter neurites (62% shorter under the day-1 differentiation condition, P < 0.0001; 82% shorter under the day 2 differentiation condition, P < 0.0001) (Fig. 2d and Supplementary Fig. 7b), reflecting a less differentiated state. We then undertook RT-qPCR analysis using wild-type NPCs transfected with the same vectors. NPCs overexpressing Klf4 (Klf4-NPCs) showed significantly decreased neuronal markers Dlx1, Dlx2, Tuj1, NeuN, Pitx3, DAT, Lmx1a, Foxa2, En1, and Nurr1 expression and a slight increase in Pax6 expression under the day 2 differentiation condition, suggesting inhibition of neurogenesis (Fig. 2e and Supplementary Fig. 7c, d). Immunocytochemistry confirmed these results and revealed a substantial decrease in percentages of cells positive for Map2 (D2, P = 0.048; D4, P = 0.0043) and Tuj1 (D2, P = 0.033; D4, P = 0.043) on day 2 and day 4 of differentiation (Fig. 2f). We also observed a slight increase in percentages of Nestin⁺ cells (D4, P = 0.02) and Ki67⁺ cells (D4, P = 0.017), supporting the idea that Klf4 promotes NPC self-renewal (Fig. 2g).

Klf4 interacts with Stau1 during cortical neurogenesis

To define the molecular mechanisms underlying Klf4 regulating NPC differentiation, we searched for proteins interacting with Klf4 protein through MS analysis. Due to a lack of ChIP-grade antibodies, we expressed Flag-tagged Klf4 in Klf4 cKO NPCs, in which Flag-tagged Klf4 expression is similar to endogenous Klf4, and carried out immunoprecipitation (IP) with anti-Flag and control anti-IgG antibodies in parallel samples (Fig. 3a). Gene ontology (GO) analysis of MS results showed that a significant portion functioned in regulation of RNA stability (Fig. 3b). Among Klf4 interacting proteins, we focused on Stau1, Ddx5, and Ddx17, which showed an average enrichment of 2.99-, 2.81-, and 2.81-fold, respectively (Supplementary Fig. 7e). Stau1 is a dsRNA-binding protein functioning in post-transcriptional gene regulation with other factors such as UPF1^32,34,36. Ddx5 and its paralog Ddx17 are DEAD box RNA helicases functioning in RNA splicing and post-transcriptional regulation^37,38.

To confirm Klf4–Stau1 interaction, we overexpressed Flag-tagged Klf4 and HA-tagged Stau1 in NPCs or HEK293T cells, and performed co-immunoprecipiation (co-IP) with anti-Flag or anti-HA antibodies. As shown in Fig. 3c, d, Klf4 co-immunoprecipitated with Stau1, and inversely, Stau1 also co-immunoprecipitated with Klf4, while no signals were detected in IgG control or cells transfected with a negative control vector (Fig. 3c, d; Supplementary Fig. 7f, g). Moreover, endogenous Stau1 co-immunoprecipitated with overexpressed Flag-tagged Klf4 in HEK293T cells (Fig. 3e). Interaction of endogenous proteins was also confirmed by co-IP of endogenous Klf4 and Stau1 proteins in NPC lysates (Fig. 3f). Furthermore, our co-IP data also confirmed interaction of Klf4 or Stau1 with Ddx5/17 (Fig. 3c, d, f). Interestingly, we also found that Stau1 protein, but not Klf4, co-immunoprecipitated with endogenous UPF1 (Fig. 3c, d).

To map Klf4 domain(s) required for interaction with Stau1, we generated various Klf4 deletion mutants and assessed their interactions with Stau1 by co-IP in HEK293T cells (Fig. 3g). Based on this analysis, a Klf4 C-terminal deletion mutant (ΔC) that lacks the three zinc-finger domains did not interact with Stau1, while all other mutants tested showed binding comparable to the wild-type protein (Fig. 3g). In addition, Klf4 C-terminal deletion mutant (ΔC) did not interact with Ddx5 or Ddx17 (Fig. 3h). Because Stau1 protein is dsRNA-binding protein and is known to bind to its target mRNAs for SMD^32,34, it is important to determine whether Klf4–Stau1 interaction is mediated by RNAs. To address this, we treated cell lysates with RNase A and then performed co-IP experiment. Interestingly, we found that Klf4–Stau1 interaction is independent of RNAs (Supplementary Fig. 7h). Together, these findings suggest that in NPCs, Klf4 interacts with Stau1, Ddx5, and Ddx17, all of which are known to function in post-transcriptional RNA regulation, and that the Klf4 zinc-finger domain is required for the interactions.

Inhibition of neurogenesis by Stau1 is Klf4-dependent

Given that Stau1 interacts with Klf4 in NPCs, we asked what role Stau1 may play during neurogenesis. Stau1-deficient mice have been shown to have defects in neuronal morphogenesis³⁹. Stau1 shRNA specifically knockdown endogenous Stau1 but not Stau2 in cultured NPCs (Supplementary Fig. 8a). Knockdown of endogenous Stau1 showed a significant increase in percentages of Tuj1⁺ cells and Map2⁺ cells at 2 or 4 days of differentiation (Tuj1, D2, P = 0.011; Tuj1, D4, P = 0.048; Map2, D2, P = 0.007; Map2, D4, P = 0.022) (Fig. 4a). A significant decrease in the percentage of Nestin⁺ cells at days 2 (P = 0.034) and 4 (P = 0.04) of differentiation was also observed (Fig. 4b). However, Stau1 knockdown did not significantly alter cell proliferation, as determined by the number of Ki67⁺ cells (Fig. 4b). We also tested whether Stau1 overexpression in NPCs would affect neurogenesis. Compared to control cells, NPCs infected with Stau1 lentivirus showed significantly decreased Tuj1 (D2, P = 0.02; D4, P = 0.0055) and Map2 (D2, P = 0.014; D4, P = 0.0028) staining under differentiation conditions (Fig. 4c). We also observed a slight but not statistically significant increase in percentages of Nestin⁺ cells in Stau1-overexpressing cells (Fig. 4d). Similarly, there was no change in the proliferation marker Ki67 between Stau1-overexpressing and control cells (Fig. 4d). We next assessed biological role of Stau1 in neurogenesis using an in utero electroporation system. Electroporated embryos with shStau1 lentiviral vectors were readily identifiable by EGFP expression (Supplementary Fig. 8b). The number of Tuj1⁺ cells significantly increased in the VZ/SVZ/IZ region in Stau1 knockdown GFP-positive cells relative to control GFP-positive cells (Supplementary Fig. 8b, c). Conversely, when embryos were electroporated with Stau1-mCherry vector, the number of Tuj1⁺ cells significantly decreased in the VZ/SVZ/IZ region in Stau1-overexpressing mCherry-positive cells relative to control-mCherry-positive cells (Supplementary Fig. 8d, e). These results suggested that neuronal differentiation is enhanced by Stau1 knockdown and inhibited by Stau1 overexpression. To determine whether this effect was Klf4-dependent, we tested the effect of Stau1 loss by shStau1 lentiviral infection in control or Klf4-overexpressing NPCs cultured in undifferentiation or differentiation conditions. This analysis showed that enhanced neurogenesis seen following Stau1 loss is significantly abolished in Klf4-overexpressing NPCs (Fig. 4e; Supplementary Fig. 9a, b). In other words, neurogenesis defects seen in Klf4-overexpressing NPCs were significantly reversed by Stau1 loss. These findings were further confirmed by in utero electroporation experiments. As similar to in vitro data, the number of Tuj1⁺ cells significantly decreased in the VZ/SVZ/IZ region in shscramble-GFP and Klf4-mCherry co-expressing cells relative to shscramble-GFP and control-mCherry co-expressing cells. Additionally, reduced Tuj1⁺ cells shown in the shscramble-GFP and Klf4-mCherry co-expressing cells were significantly rescued in the VZ/SVZ/IZ region in shStau1-GFP and Klf4-mCherry co-expressing cells (Supplementary Fig. 9c). These findings suggest that the Stau1 protein in neurogenesis is downstream of Klf4 in regulating neuronal differentiation. Moreover, we also undertook qPCR to assess the effect of Stau1 overexpression in control or shKlf4 knockdown NPCs cultured in undifferentiation or differentiation conditions. Interestingly, Stau1 overexpression significantly reduced Dlx1, Dlx2, and Tuj1 mRNA expression in control NPCs but not in the shKlf4 knockdown NPCs (Fig. 4f; Supplementary Fig. 9d). These results suggest that Stau1 regulates neurogenesis in a Klf4-dependent manner.

Stau1 promotes degradation of neurogenesis-associated mRNAs

Recent studies show that Stau1 functions as a post-transcriptional regulator by first recognizing specific secondary structure or sequences of the 3′-UTR of target mRNAs^40,41. Therefore, to determine how neurogenesis-associated mRNAs are specifically recognized by Stau1, we initially analyzed Stau1 RIP or CLIP sequencing profiles performed in HEK293T cells. HEK293T cells were chosen based on the evidence suggesting a possible neural lineage origin of HEK293T cells, which explains the expression of neuro-specific genes in these cells^42,43. This is further supported by an online database (GSE52447,www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE52447). Interestingly, we found that numerous mRNAs recognized by Stau1 function in neurogenesis (12.8%) (Supplementary Fig. 10a, b). Indeed, Stau1 protein bindings were highly enriched in 3′-UTRs of Dlx1, Dlx2, and Tuj1 mRNAs (Supplementary Fig. 10c), suggesting that Stau1 might play a role in neurogenesis through degradation of these mRNAs. Stau1 protein is highly conserved with 95% identity in humans and mice. Nevertheless, to confirm whether Stau1 specifically binds Dlx1, Dlx2, and Tuj1 mRNAs in mouse NPCs, we performed PAR-CLIP qPCR analysis in mouse NPCs using an anti-Stau1 antibody (Fig. 5a). We found that each potential target mRNA contained at least one region recognized and bound by Stau1 (Fig. 5b). The predicted secondary structures of these mRNAs confirmed the presence of a double-stranded loop at binding regions (Fig. 5b). To examine potential effects on decay of Dlx1, Dlx2, and Tubb3 mRNAs, we carried out an RNA stability assay, in which we treated cells with actinomycin D, a transcriptional inhibitor, and then assess target mRNA levels at various time points by RT-qPCR. Compared to control NPCs, Stau1-overexpressing NPCs (Stau1-NPCs) showed significantly more rapid degradation of Dlx1, Dlx2, and Tuj1 mRNAs (Fig. 5c). Conversely, Stau1 knockdown significantly inhibited decay of target mRNAs, suggesting that Stau1 regulates stability of these neurogenesis-associated mRNAs (Fig. 5d).

Klf4 regulates SMD during neurogenesis

To assess the role of Klf4 in mRNA decay during neuronal differentiation, we carried out an RNA stability assay using NPCs infected with either control shscramble or shKlf4 lentivirus, and wild-type or Klf4 cKO NPCs. Degradation rates of Dlx1, Dlx2, and Tuj1 mRNAs were all significantly lower in both Klf4 KO and knockdown NPCs (Fig. 6a; Supplementary Fig. 11a). To assess Klf4 function in SMD during the course of neuronal differentiation, we compared SMD in NPCs overexpressing Stau1 and infected with either shscramble or shKlf4 lentivirus. Stau1 significantly promoted decay of neurogenesis-associated mRNAs in NPCs infected with control shRNA lentivirus at 15 min, 30 min, and 1 h, respectively) (Fig. 6b). However, enhanced mRNA decay by Stau1 overexpression was critically decreased in NPCs infected with shKlf4 lentivirus (Fig. 6b). These results demonstrated that Klf4 is required for Stau1-mediated SMD of Dlx1, Dlx2, and Tuj1 mRNA.

SMD is reportedly triggered when Stau1 recruits UPF1, which has dsRNA helicase activity, to target mRNAs^32,44. MS analysis and co-IP experiment identified RNA helicases Ddx5/17 instead of UPF1 as Klf4 interacting partners (Fig. 3c). Ddx5 and its paralog Ddx17 form heterodimers and they are involved in the regulation of target mRNA stability through cooperating with NMD factor, UPFs protein⁴⁵. Therefore, we asked whether Ddx5/17 would modulate changes in mRNAs stability seen in Klf4-NPCs. To address this, we monitored endogenous target mRNA levels in wild-type and in Klf4-overexpressing NPCs infected with shscramble or shDdx5/17 lentivirus. Interestingly, Klf4 overexpression significantly enhanced the decay of Dlx1, Dlx2, and Tuj1 mRNAs, while Ddx5/17 knockdown blocked this effect (Fig. 6c). Because the increased decay of target neurogenesis-associated mRNAs is related to the neurogenesis defect seen in Klf4-NPCs, we assessed whether Ddx5/17 loss can rescue defect of neurogenesis following Klf4 overexpression in NPCs. As expected, our qPCR data revealed that knockdown of Ddx5/17 in Klf4-NPCs significantly rescued the neurogenesis defect seen in Klf4-NPCs, and these were further confirmed by Western blot analysis (Supplementary Fig. 11b–d). Moreover, Ddx5/17 interacts with Stau1 protein (Fig. 3d), and their interaction was increased by Klf4 overexpression (Supplementary Fig. 11e). The mRNA decay through Klf4-Ddx5/17 might be driven through the Stau1-mediated decay machinery. To test whether Ddx5/17 modulates Stau1’s role in the decay of target mRNAs, we carried out a RNA stability assay using wild-type NPCs and Stau1-NPCs infected with shscramble or shDdx5/17 lentivirus. Stau1 overexpression significantly increased the decay of Dlx1, Dlx2, and Tuj1 mRNAs, while Ddx5/17 knockdown delayed this effect (Supplementary Fig. 12a). Moreover, our qPCR data showed that Ddx5/17 knockdown also rescued defect of neurogenesis seen in Stau1-NPCs (Supplementary Fig. 12b). To further investigate Klf4’s relevance to SMD, we performed PAR-CLIP qPCR analysis using anti-Stau1 antibody in NPCs infected with control or shKlf4 lentivirus. Interestingly, in Klf4 knockdown cells, less Dlx1, Dlx2, and Tuj1 mRNAs were bound by Stau1 protein relative to the controls (Fig. 6d; Supplementary Fig. 12c). Overall, these experiments demonstrate that activities of Klf4, Ddx5/17, and Stau1 govern neuronal differentiation by regulating stability of neurogenesis-associated mRNAs.

Klf4 promotes Stau1 enrichment on neuronal target mRNAs

To investigate the role of Klf4 and Stau1 interaction in neurogenesis and SMD, cultured NPCs were transfected with full-length Klf4 (Klf4-GFP) or the mutant Klf4 lacking C terminus (Klf4-ΔC-GFP), which cannot interact with Stau1, and then cultured under differentiation condition for 2 days. The percentage of GFP/Tuj1 double-positive cells among all GFP-positive cells significantly decreased in cultures expressing full-length Klf4 compared to cultures expressing the ΔC mutant (Fig. 7a). Likewise, Dlx1, Dlx2, and Tuj1 expression was significantly attenuated in Klf4-overexpressing NPCs, but not in cells overexpressing the ΔC mutant (Fig. 7b). We next compared wild-type or mutant (ΔC) Klf4 function in neurogenesis using an ex utero electroporation system. Control vector, wild-type Klf4, or its mutant (ΔC) vectors expressing GFP were electroporated together with shscramble or shKlf4 lentiviral vectors containing puromycin resistance selection marker into E13.5 embryos. The shRNA of Klf4 targets 3′-UTR of Klf4 mRNA and therefore can only knockdown endogenous Klf4 with no effect on the overexpressed Klf4. After treatment of puromycin for 2 days, cultured embryos were readily identifiable by EGFP expression (Supplementary Fig. 13a). Quantitative analyses showed that the number of GFP/Tuj1 double-positive cells among all GFP-positive cells significantly increased in VZ/SVZ/IZ region in shscramble group compared to shKlf4 group, and this increase in neurogenesis was rescued by overexpression of wild-type Klf4 but not its mutant (ΔC) form (Supplementary Fig. 13b). To further assess effects of full-length or mutant Klf4 on degradation of neurogenesis-associated mRNAs, we carried out an mRNA decay assay following expression of both constructs in NPCs. Klf4 overexpression significantly promoted degradation of target mRNAs, while we observed little change in the degradation rate of target mRNAs following expression of the ΔC mutant (Fig. 7c, d). This observation suggests that Klf4-mediated target mRNA decay requires interaction of Klf4 with Stau1. As noted (Fig. 5b), Stau1 binds Dlx1, Dlx2, and Tuj1 mRNAs in NPCs, and this association decreases in NPCs lacking Klf4 (Fig. 6d). Thus, we asked whether decreased neuronal gene expression and up-regulated mRNA decay seen following Klf4 overexpression paralleled with Stau1 enrichment on target mRNAs. We also asked whether mutant Klf4 could affect Stau1 occupancy on these target mRNAs. To do so, we performed in vivo PAR-CLIP qPCR using ex vivo culture of cortices derived from embryos electroporated with constructs harboring full-length or mutant (ΔC) Klf4 conjugated to EGFP (Supplementary Fig. 13c). Slices of EGFP-positive cortices were analyzed using a PAR-CLIP qPCR protocol modified for ex vivo cultured tissue (Fig. 7e; Supplementary Fig. 13c, right panel). Our analysis revealed a significant enrichment of Stau1 on the 3′-UTRs of Dlx1, Dlx2, and Tuj1 mRNAs in NPCs expressing EGFP-Klf4 relative to the EGFP control vector (Fig. 7f). Not surprisingly, Stau1 occupancy on these mRNAs in NPCs expressing the EGFP-∆C construct was comparable to that of control (Fig. 7f). These in vivo findings suggest that Klf4 promotes Stau1 recruitment to neurogenesis-associated mRNAs, which subsequently promotes mRNA decay during corticogenesis.

Discussion

In this study, we assessed how Klf4 and its interaction partner Stau1 function in neurogenesis. We found that Klf4 is down-regulated as NPCs differentiate, an event critical for neurogenesis. Using neural progenitor-specific Klf4 KO (Nestin-Cre;Klf4^−/−) mice, we showed that Klf4 depletion enhances neurogenesis, as evidenced by a higher number of deep-layer mature neurons at cortical plates. At the same time, we observed decreased numbers of Nestin and Ki67 double-positive proliferating progenitor population and Pax6-positive apical progenitor population in the (sub)ventricular zone of Klf4 cKO mice, suggesting that enhanced neurogenesis is accompanied by Klf4 depletion. On the other hand, Klf4 overexpression inhibited neurogenesis and partially increased NPC proliferation.

Our MS analysis and co-IP identified Stau1 as a Klf4 interacting partner in NPCs. This is of particular interest because its homolog, Stau2, functions in NPC asymmetric cell division and lineage progression^27,28. Relevant to the former, during cell division, Stau2 and its cargo mRNAs asymmetrically segregate into one of two daughter cells and induce cell cycle exit and differentiation of that cell. Although Stau1 functions in biological processes as varied as myogenesis, adipogenesis, and cutaneous wound healing^29,30,31, its role in early stage of corticogenesis has not been clear. Recent reports^40,41 using hiCLIP and RIP sequencing technologies in HEK293T cells showed that Stau1 binds to a subset of mRNAs that exhibit specific secondary structures. We investigated enrichment of Stau1 in several neuronal differentiation-associated mRNAs, and among these mRNAs, we chose Dlx1, Dlx2, and Tuj1, all of which contain high enrichment peak of Stau1 binding and play important roles in early neurogenesis. Here, we show that Dlx1, Dlx2, and Tuj1 expression is up-regulated following Stau1 knockdown and down-regulated following Stau1 overexpression, indicating overall that Stau1 inhibits NPC differentiation. In support for this idea, our PAR-CLIP qPCR results and mRNA stability assay showed that Stau1 recognizes and binds to Dlx1, Dlx2, and Tuj1 mRNAs and mediates their decay. Furthermore, the Klf4 C-terminal zinc-finger domain is required for binding to Stau1 and decay of target mRNAs, as evidenced by the fact that a deletion mutant of Klf4 lacking the C terminus does not co-immunoprecipitate with Stau1 or rescue neuronal differentiation phenotypes in Klf4 KO NPCs, while other Klf4 deletion mutants do.

Interestingly, our MS results also identified Ddx5 and Ddx17 as Klf4 interacting proteins. Ddx5 (p68) and Ddx17 (p72) are DEAD box family RNA helicases^46,47,48. Like Stau, both Ddx5 and Ddx17 function in many aspects of RNA processing and transcriptional regulation, such as coactivation of nuclear hormone receptors, p53 tumor suppressor, MyoD and Runx2^37,49. Our co-IP analysis confirmed interaction between Klf4 and Ddx5/17, and our RNA stability assay showed that Ddx5 and Ddx17, like Stau1, participate in degradation of neurogenesis-related mRNAs. In SMD, after Stau1 recognizes and binds to a specific SBS, the RNA helicase UPF1 is recruited to unwind mRNA secondary structure, allowing decay to proceed³². We did not see an interaction between Klf4 and UPF1, but given that SMD requires RNA helicase activity, we propose that NPCs may utilize a novel SMD mechanism in which Ddx5 or Ddx17 is recruited to the adaptor protein Stau1 and its target mRNA and functions as an RNA helicase, a process regulated by Klf4 (Supplementary Fig. 14).

Finally, our observation that Klf4 inhibits neurogenesis but maintains NPC self-renewal differs from that reported by Qin et al.¹⁹, who showed that Klf4 overexpression inhibited both proliferation and differentiation in NPCs. These findings seem to be in conflict with ours; however, systemic difference used in studies may contribute to this discrepancy. Both of our studies used different systems: Qin et al.¹⁹ used Klf4 transgenic mice to exam the role of dysregulated Klf4 in vivo, while we used Nestin-cre:Klf4 cKO mice to evaluate the effect of Klf4 deletion in NPCs. Overexpression systems occasionally lead to aberrant phenotype⁵⁰; therefore, it is not surprising that reduced self-renewal capacity was observed in NPCs expressing Klf4 ectopically. In this study, we found that Klf4 expression significantly reduced during neuronal differentiation of NPCs. In this respect, our reduced self-renewal capacity observed in Klf4 cKO NPCs compared to WT NPCs may reflect normal physiological event. Moreover, Stau1 gene KO mice exhibited dendritic spine morphogenesis defects in the adult brain with no strong neurogenesis phenotype³⁹. This discrepancy could be due to different genetic models. In addition, the Stau1 KO mice is a gene deletion mutant, in which a 50 kDa truncation mutant protein is still expressed. Although the truncated protein with the two putative RBDs is incapable of binding RNA, this may contribute to this different effect in the developing brain.

In summary, we have demonstrated that Klf4 inhibits neurogenesis by regulating mRNA decay activity of Stau1. In NPCs, high levels of Klf4 allow Stau1 to bind to and degrade critical neurogenesis-associated mRNAs, allowing NPC self-renewal. During neurogenesis, while Stau1 level remains the same, reduced Klf4 level results in decreased SMD, allowing accumulation of these mRNAs (Supplementary Fig. 15). Our study reveals a novel mechanism associated with mRNA decay that regulates NPC self-renewal versus differentiation.

Methods

Animals

Generation of Klf4^f/+ and Klf4^f/f mice was previously described⁵¹. Mice were maintained on a C57BL/6 background. To generate wild-type or cKO Klf4 mouse embryos, Nestin-cre (B6.Cg-Tg (Nes-cre)1Kln/J; Jackson Lab, #003771) mice were crossed with either Klf4^f/+ or Klf4^f/f mice. Offsprings were genotyped by PCR of genomic DNA extracted from mouse tail and analyzed with the following primers: F1, 5′-CTGGGCCCCCACATTAATGAG-3′; R1, 5′-CGCTGACAGCCATGTCAGACT-3′; and R2, 5′-CAGAGCCGTTCTGGCTGTTTT-3′. PCR was carried out using the S1000^TM Thermal Cycler (Bio-Rad, Hercules, CA, USA) with 2xTaq PCR premix (Bioland Scientific LLC, Paramount, CA, USA); conditions were 95 °C for 3 min followed by 34 cycles at 95 °C for 40 s, 60 °C for 40 s, and 72 °C for 1 min. In all experiments, Klf4^fl/+, Klf4^fl/+, and Nestin-Cre:Klf4^fl/+ littermates served as controls. No significant phenotypic differences were seen in male versus female mice by blind analysis; thus, both genders were included in the analysis, randomizely. All mice were housed under a 12-h light–dark cycle and had ad libitum access to food and water in a controlled animal facility. All animal experimental procedures were approved by the Institutional Animal Care and Use Committee (IACUC) of the University of Southern California (protocol number, 11489) and the National Institutes of Health.

Plasmids and shRNA transfection

To construct the lentiviral vector pCDH-FLAG-Klf4, which encodes N-terminally Flag-tagged Klf4 protein, pFlag-Klf4 was amplified using 5′-TCTACCGCTAGCATGGACTACAAAGACGATGAC-3′ (sense) and 5′-TGGGATGGATCCTTAAAAGAGCCTCTTCATGTG-3′ (antisense) primers, where nucleotides contain overhangs to specify NheI and BamHI sites, respectively. The fragment was digested with NheI and BamHI and inserted into similarly digested pCDH vector. To construct pCDH-Stau1-HA, which encodes Stau1 protein with three tandem C-terminal HA tags, pcDNA-Stau1-HA was amplified using 5′-CTGTGCGCTAGCATGAAACTTGGAAAAAAACCA-3′ (sense) and 5′-AGATTATTCGAATCAGCGGCCGCACTGAGCAGC-3′ (antisense) primers, where nucleotides contain overhang to specify NheI and BstBI sites, respectively. The resulting fragment was digested with NheI and BstBI and inserted into similarly digested pCDH vector. NPCs were transfected with 4 μg pCDH-Stau1-HA or pCDH-Klf4-Flag for respective gain-of-function experiments or with pLKO.1-shStau1 or pLKO.1-shKlf4 for loss-of-function experiments using Lipofectamine^® LTX and Plus Reagent (Invitrogen, Carlsbad, CA, USA) or electroporation with an AMAXA nucleofector (Ronza AG, Basel, Switzerland). shRNAs were targeted at least two different coding sequence (CDS) or noncoding sequence (3′-UTR) regions. pLKO.1-shScramble vector serveds as the negative control in assays of pLKO.1-shStau1 or pLKO.1-shKlf4. shRNA primer sequences were listed in Supplementary Table 1.Please check,the explanation mentions "where underlined nucleotides", but is not present in the text.We revised it.

Preparation and culture of NPCs

NPCs were prepared from E11.5 cortices of wild-type or Nestin-Cre:Klf4 cKO mice in Hank’s balanced salt solution (Invitrogen) and cultured as described^52,53. NPCs were cultured in N2 medium containing bFGF for 4 days and then evaluated for Nestin and Sox2 expression. To induce differentiation, cells were seeded and further cultured without bFGF. Neurosphere culture was conducted as described^52,53,54.

Lentivirus production and viral transduction

Lentivirus was produced as described⁵⁵. Briefly, HEK293T cells were transfected with the lentiviral packaging plasmid psPAX2, the envelope plasmid pMD2.G, and the target plasmid, using polyethylenimine (Polyscience). Culture medium was collected 48 h later and ultra-centrifuged (28,000 r.p.m., 90 min) to obtain high titer virus. Pelleted virus was re-suspended in 200 μl phosphate-buffered saline (PBS) at approximately 10⁸ TU/ml. For viral transduction, NPCs were plated onto poly-l-ornithine/fibronectin-coated plates in N2 medium. NPCs were transduced at a multiplicity of infection of 0.5–1 together with polybrene (Sigma-Aldrich) for 24 h and selected in puromycin 48 h after transduction.

Antibodies and reagents

Antibodies used in this study were anti-Klf4 (rabbit polyclonal 1:500; Gene Tex, Irvine, CA, USA), anti-Flag (mouse, 1:1000; Sigma, St. Louis, MO, USA), anti-HA (rabbit, 1:1000; Santa Cruz Biotechnology, Santa Cruz, CA, USA), anti-Stau1 (rabbit, 1:500; Thermo Scientific, Rockford, IL, USA), anti-Map2 (rabbit polyclonal 1:200, Chemicon, Temecula, CA, USA), anti-Nestin (mouse monoclonal 1:350, BD Biosciences, San Jose, CA, USA), anti-Tuj1 (mouse polyclonal 1:200; Covance, Princeton, NJ, USA), anti-Tbr1 (rabbit polyclonal 1:200; Abcam Ltd, Cambridge, MA, USA), anti-Pax6 (rabbit polyclonal 1:200; Abcam Ltd), anti-Ddx5 (rabbit polyclonal 1:1000; Abcam Ltd), anti-Ddx17 (rabbit polyclonal 1:1000; Abcam Ltd), anti-GST (rabbit polyclonal 1:500; Santa Cruz Biotechnology), anti-BrdU (mouse monoclonal 1:500; Abcam Ltd), anti-Dlx1 (mouse monoclonal 1:250; Abnova, Walnut, CA, USA), anti-Dlx2 (rabbit polyclonal, 1:250; Abcam Ltd), anti-Ctip2 (Rat 1:200; Abcam Ltd), anti-cleaved caspase-3 (mouse 1:200; R&D Systems, Inc., Minneapolis, MN, USA), anti-UPF1 (rabbit 1:200; Cell Signaling Technology Inc., Danvers, MA, USA), and anti-α-tubulin (mouse monoclonal 1:5000; Santa Cruz Biotechnology). Secondary antibodies were anti-rabbit Alexa Fluor 488-conjugated, anti-mouse Alexa Fluor 488-conjugated, anti-rabbit Alexa Fluor 555-conjugated, or anti-mouse Alexa Fluor 555-conjugated IgG (1:200 dilution; Molecular Probes, Eugene, OR, USA). bFGF was purchased from PeproTech (Rocky Hill, NJ, USA). The protease inhibitor cocktail was from Roche Applied Science (Indianapolis, IN, USA). To inhibit RNA synthesis, actinomycin D was purchased from VWR International, LLC (San Dimas, CA, USA). The enhanced chemiluminescence (ECL) Kit and KOD Hot Start DNA polymerase were from EMD Millipore. Phenol:chloroform:isoamyl alcohol and the First Strand cDNA Synthesis Kit were from Thermo Scientific.

Immunoprecipitation, Western blotting, and MS analysis

Cells were gently lysed with IP buffer (50 mM Tris-HCl, pH 7.4, 130 mM NaCl, 10 mM NaF, 2 mM EGTA, 2 mM EDTA, 0.5% Triton X-100, 0.5% NP-40, 5 % glycerol, 1 mM dithiothreitol (DTT), and a protease inhibitor cocktail) for 1 h on ice and then centrifuged at 14,000 r.p.m. at 4 °C for 15 min. Supernatants were collected and precleared with 30 μl of Protein A/G beads (Santa Cruz Biotechnology) for 2 h, and then precleared lysates were incubated with 4 μg of each specific antibody overnight at 4 °C. After immune complexes were washed six times with IP buffer, they were eluted by boiling for 3 min at 95 °C in sodium dodecyl sulfate (SDS) sample buffer and separated on 10% SDS-polyacrylamide gel electrophoresis (SDS-PAGE). After blocking, membranes were sequentially incubated with corresponding primary and horse radish peroxidase-conjugated secondary antibodies (anti-mouse or anti-rabbit 1:10,000; Santa Cruz Biotechnology). Protein bands were detected using ECL reagent (Santa Cruz Biotechnology). NPCs stably expressing Flag-Klf4 were used for MS analysis as described⁵⁶. Briefly, anti-Flag antibody was used to immunoprecipitate Flag-Klf4 and associated proteins, and anti-IgG served as control. After separating immunoprecipitated proteins on 10% SDS-PAGE and silver staining, bands of interest were excised, washed, and subjected to MS analysis.

Immunocytochemistry and immunohistochemistry

Cells grown on coverslips were fixed with 4% paraformaldehyde (PFA) for 10 min, permeabilized with 0.2% Triton X-100, incubated with blocking solution containing 5% bovine serum albumin (BSA) in PBS for 30 min, and incubated with primary antibodies overnight at 4 °C. After PBS washing, cells were incubated with secondary antibodies at room temperature for 1 h and counterstained with 4',6-diamidino-2-phenylindole (DAPI). For embryonic brain tissues, samples were fixed with 4% PFA overnight and cryopreserved in 30% sucrose for 2 more days before embedding in OCT compound (Tissue Tek, Torrance, CA, USA). Samples were sectioned on a cryostat at 20 μm. Slides were blocked with 5% BSA at room temperature for 30 min before staining with primary antibody overnight. Slides were then incubated with secondary antibody for 1 h at room temperature after three PBS washes for 10 min each and counterstained with DAPI. Stained slides were washed three times with PBS before mounting. Images were obtained using a fluorescent confocal microscope (LSM5 PASCAL; Zeiss, Jena, Germany). Values obtained from at least three independent experiments were averaged and reported as means ± SD. The two-tailed Student’s t test was used to compare two experimental groups.

Reverse transcriptase qPCR

Cells were harvested and total RNA was isolated using TRIzol reagent (Invitrogen). A SuperScript III qRT-PCR Kit (Invitrogen) was used to synthesize cDNA from total RNA. qPCR was performed using a ViiA7 system (Applied Biosystems) with iTaq Universal SYBR Green Master Mix (Bio-Rad); conditions were 95 °C for 10 min followed by 50 cycles at 95 °C for 15 s and 60 °C for 3 s. Samples were run in triplicate and Klf4, Stau1, Nestin, NeuN, Dlx1, Dlx2, Tuj1, and Gad67 transcripts were quantitated by comparing cycle threshold (Ct) values for each reaction with a Gapdh reference. Primer sets for quantitative PCR are listed in Supplementary Table 2.

mRNA degradation analysis

NPCs were treated with 5 μg/ml of actinomycin D (VWR) for 15 min, 30 min, and 1, 2, 4, or 8 h. RNA was extracted using TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. qPCR was performed as described, with Gapdh serving as normalization control. Primer sequences for qPCR are listed in Supplementary Table 2. Statistical significance of changes in mRNA half-life were determined using a t test.

In vitro and ex vivo PAR-CLIP qPCR analysis

PAR-CLIP analysis was performed as described⁵⁷. For in vitro analysis, NPCs were incubated in medium supplemented with 100 μM 4-thiouridine (SU) for 16 h, washed with PBS, and irradiated with 150 mJ/cm², 365 nm ultraviolet light in a Spectrolinker XL-1500 UV crosslinker to crosslink RNA to Stau1. Alternatively, E13.5 embryos derived from total four pregnant mice (E13.5) were electroporated with GFP-control, GFP-Klf4, and GFP-Klf4 (∆C) vectors and grown ex vivo for 2 days in N2 medium with bFGF. After incubation in 200 μM 4-thiouridine (SU) for 16 h, embryos were dissected to obtain forebrain cortices and tissues were irradiated with 200 mJ/cm², 365 nm ultraviolet light in a Spectrolinker XL-1500 UV crosslinker to crosslink RNA to endogenous Stau1. Samples were harvested and lysed in an equivalent of three pellet volumes of NP-40 lysis buffer. Cleared cell or tissue lysates were treated with 1 U/μl RNase T1 (Thermo Fisher Scientific, Fremont, CA, USA), and endogenous Stau1 protein was immunoprecipitated with polyclonal anti-Stau1 antibody (Thermo Fisher Scientific) bound to Protein A/G Dynabeads. RNA in immunoprecipitates was further trimmed with 100 U/ml RNase T1. Beads were washed in lysis buffer, and DNA and proteins were removed by digestion with DNase I (Zymo Research Corporation, Orange, CA, USA) and 0.2 mg/ml proteinase K in proteinase K buffer (Thermo Fisher Scientific), respectively. RNA was recovered by acidic phenol/chloroform extraction and ethanol precipitation and used in qPCR analysis. Primer sets for PAR-CLIP qPCR are listed in Supplementary Table 3.

In utero and ex utero electroporation

All procedures followed guidelines of the IACUC and the National Institutes of Health. A total of 2.5% (w/v) avertin (1 g/ml solution of 2,2,2-Tribromoethanol, 97% in tert-amyl alcohol (99%); Aldrich, catalog nos. T4, 840-2 and 24, 048-6, respectively) in 0.9% saline was injected i.p. (15 µl/g of body weight) to anesthetize total 12 pregnant mice (E13.5). A laparotomy was performed, and the uterus with embryos was exposed. A total of 2–5 µl of plasmid DNA (approximately 2 µg/µl, dissolved in water) was injected into the lateral ventricle using a fine-glass microcapillary using a PV830 pneumatic PicoPump. Electroporation was performed using a Nepagene CUY21SC electroporator (amplitude, 50 V (E13.5); duration, 50 ms; intervals, 150 ms). To deliver electrical pulses, tweezer-type circular electrodes (7 mm diameter) were used with the positive side directed to the medial wall of the ventricle into which DNA was injected. Uterine horns were repositioned in the abdominal cavity, and the abdominal wall and skin were sewed with surgical sutures. Mice were kept on a warm plate (37 °C) for recovery. For ex utero experiment, embryos were obtained from a total of six pregant mice (E13.5) and E13.5 embryos were electroporated with GFP-control, GFP-Klf4, and GFP-Klf4 (∆C) together with pLKO.1-shscramble or pLKO.1-shKlf4 lentiviral vectors. Embryos were grown in N2:B27 (1:1) medium with bFGF (20 ng/ml) during 1 day and then further incubated with selection medium containing puromycin (5 μg/ml) for 48 h. Embryos were then fixed with 4% (w/v) PFA (Sigma) in PBS (pH 7.4). After a 24 h fixation at 4 °C, embryo brains were transferred to a 30% (w/v) sucrose solution in 4% PFA. Tissues were sectioned at 30 µm using a cryotome (Leica) and analyzed by immunohistochemistry.

Statistical analysis

Statistical analyses were performed using Excel statistical tools or Prism 6 (GraphPad Software). Where differences between treatment groups were experimentally hypothesized, statistical differences among two groups were analyzed using Student’s t test (*P < 0.05, **P < 0.005, and ***P < 0.0005). Analysis of variance (ANOVA) tests (Tukey’s multiple comparison test) were used to test hypotheses about effects in multiple groups. Differences are indicated in figures as follows: *P < 0.01, **P < 0.001, and ***P < 0.0001. *P < 0.01 was considered statistically significant.

Data availability

All information that supports the findings of this study are obtained from our experimental subjects and the data are available from the corresponding author on reasonable request.

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Acknowledgements

We thank members of the W.L. Laboratory for insightful discussions; David Huang (Keck School of Medicine, USC) and Ellen XinYang (University of Buffalo, New York) for technical advice, and Jernej Ule and Cristina Militti (Department of Molecular Neuroscience, UCL Institute of Neurology) for plasmids and online data set (GSE52447). The work was supported by National Natural Science Foundation of China Grant 31530027, 31470779 and National Institutes of Health Grant R01 NS067213-01A1. B.-S.M. was supported by postdoctoral fellowship from the California Institute for Regenerative Medicine (CIRM) (No. TG2-01161).

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Authors and Affiliations

Department of Stem Cell Biology and Regenerative Medicine, Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
Byoung-San Moon, Jinlun Bai, Mingyang Cai & Wange Lu
State Key Laboratory of Medicinal Chemical Biology and College of Life Sciences, Nankai University, 94 Weijin Road, 300071, Tianjin, China
Byoung-San Moon & Jiandang Shi
Department of Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY, 40506, USA
Chunming Liu

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Byoung-San Moon
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Jinlun Bai
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Mingyang Cai
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Chunming Liu
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Jiandang Shi
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Wange Lu
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Contributions

B.-S.M. conceived the project and designed and performed experiments. J.B. assisted with experiments. B.-S.M. and M.C. performed bioinformatics analysis. C.L. and J.S. supported experimental resources. B.-S.M., J.B., and W.L wrote the manuscript. W.L. supervised the project.

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Correspondence to Wange Lu.

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Moon, BS., Bai, J., Cai, M. et al. Kruppel-like factor 4-dependent Staufen1-mediated mRNA decay regulates cortical neurogenesis. Nat Commun 9, 401 (2018). https://doi.org/10.1038/s41467-017-02720-9

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Received: 10 April 2017
Accepted: 18 December 2017
Published: 26 January 2018
DOI: https://doi.org/10.1038/s41467-017-02720-9

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