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. Author manuscript; available in PMC: 2016 Jul 11.
Published in final edited form as: Nat Neurosci. 2016 Jan 11;19(2):253–262. doi: 10.1038/nn.4213

KIF1A inhibition immortalizes brain stem cells but blocks BDNF-mediated neuronal migration

Aurelie Carabalona 1,*, Daniel Jun-Kit Hu 1, Richard B Vallee1 1,*
PMCID: PMC4731285  NIHMSID: NIHMS742542  PMID: 26752160

Abstract

Brain neural stem cells (RGPs) undergo a mysterious form of cell cycle-entrained “interkinetic” nuclear migration (INM), driven apically by cytoplasmic dynein and basally by the kinesin KIF1A, which has recently been implicated in human brain developmental disease. To understand the consequences of altered basal INM and the roles of KIF1A in disease, we performed constitutive and conditional RNAi and expressed mutant KIF1A in E16-P7 rat RGPs and neurons. RGPs inhibited in basal INM still showed normal cell cycle progression, though neurogenic divisions were severely reduced. Postmitotic neuronal migration was independently disrupted at the multipolar stage, accompanied by premature ectopic expression of neuronal differentiation markers. Similar effects were unexpectedly observed throughout the layer of surrounding control cells, mimicked by Bdnf or Dcx RNAi, and rescued by BDNF application. These results identify novel, sequential, and independent roles for KIF1A and provide an important new approach for reversing the effects of human disease.

INTRODUCTION

Development of the cerebral cortex occurs through a series of stages, beginning with radial glial progenitors (RGPs). These stem cells exhibit an unusual form of cell-cycle-dependent nuclear oscillation between the apical and the basal regions of the ventricular zone, known as interkinetic nuclear migration (INM)13. RGPs are highly proliferative, and give rise to most neurons and glia of the cerebral cortex, as well as to adult stem cells46. Neurons generated from asymmetric RGP cell divisions migrate to the subventricular zone (SVZ) and lower intermediate zone (IZ), where they assume a multipolar morphology. After a prolonged residence in this state, they take on a bipolar morphology, and migrate along the basal process of neighboring RGP cells to the cortical plate4,7. Mutations in a number of genes responsible for aspects of this complex behavior contribute to a variety of developmental diseases, including periventricular heterotopia, subcortical band heterotopia, and lissencephaly8.

In previous work, our lab found the microtubule motor proteins KIF1A and cytoplasmic dynein to be responsible, respectively, for basal and apical INM in rat brain RGP cells9,10. Myosin II has also been implicated in this behavior in other systems1113, but neither RNAi nor small molecule myosin inhibition had a detectable effect in rat9. Mutations in or altered expression of genes encoding the cytoplasmic dynein heavy chain, the dynein regulator LIS1, and factors responsible for recruiting dynein to the G2 nuclear envelope interfered with apical INM and blocked nuclei in a late G2, premitotic state9,10,14. Each also resulted in an accumulation of post-mitotic neurons in the multipolar state and a block or delay in subsequent migration of bipolar neurons to the cortical plate. Consistent with these effects, dynein and its regulatory factors have been implicated in lissencephaly and microcephaly1519.

Similarly, inhibition of basal INM by Kif1a RNAi might also be expected to have a profound influence on subsequent brain development. Neuronal distribution was, in fact, altered9,20, though direct effects on migration remain unexamined. Brain size was reduced in a Kif1a null mouse21, and human KIF1A mutations have been found to cause a number of neuropathies2228. The relationship between the brain malformations and the specific roles of KIF1A are poorly understood.

This study was initiated to determine the consequences of altered basal INM on RGP cell cycle progression and neurogenesis, and test for potential effects on subsequent neuronal migration. To address these issues we used in utero electroporation to express shRNAs and a KIF1A mutant cDNA in embryonic rat brain. Blocking basal INM had surprisingly little effect on RGP cell cycle progression, resulting in a perpetuation of stem cell-like behavior. However, neurogenic divisions were markedly reduced, and the multipolar stage was blocked, though progressive expression of later differentiation markers persisted. These effects were also propagated non-autonomously in surrounding control cells, phenocopied by doublecortin or Bdnf knockdown, and reversed by BDNF application. These data reveal striking phenotypic effects of Kif1a inhibition, with important consequences for understanding and rescuing brain developmental deficits.

RESULTS

RGP cell cycle progresses independently of basal migration

In previous work, we found that inhibition of apical INM inhibits RGP mitotic entry9. The effect of altered basal migration on cell cycle progression has not been examined, though we did observe Kif1a RNAi to increase the percentage of Pax6+ RGP cells9 and to decrease the number of intermediate progenitors (Supplementary Fig. 1; scramble 16.6±3.6%; n=4, Kif1a shRNA 3.92±2.05%; p=0.0286; n=4). To test for cell cycle effects, we introduced Kif1a shRNAs into E16 rat brain progenitor cells by in utero electroporation, sectioned brains at E20, and stained for cell cycle markers.

A comparable percentage of control and Kif1a knockdown RGP cells expressed Ki67 (scramble, 77.48 ± 4.9%, n = 3; Kif1a shRNA, 78.08 ± 6.4%, P = 0.9, n = 3; Fig. 1a). This suggests that Kif1a has no gross effect on the fraction of cycling cells, although a subpopulation in each case escaped the cell cycle. Surprisingly, there was little-to-no effect on the percentage of Kif1a shRNA-expressing RGP cells positive for cyclin D1 (G1 phase, Figure 1B; scramble 34.59±4.1%; n=3, Kif1a shRNA 35.67±2.9%; p=0.7; n=3), geminin (S/G2 phases, Figure 1C; scramble 45.99±3.2%; n=3, Kif1a shRNA 37.14±4.7%; p=0.1; n=3), or phospho-histone H3 (late G2/M phases, Figure 1D; scramble 5.44±1.5%; n=3, Kif1a shRNA 4.65±1.2%; p=0.8; n=4). We also investigated the effect of Kif1a RNAi on S phase by BrDU pulse labeling. 18% of cells were in S-phase by this measure, a somewhat lower value than for controls, but strongly supporting continued cell cycle progression (Figure 1E; scramble 26.22±3.5%; n=3, Kif1a shRNA 17.91± 6.06%; p=0.2; n=4). Interestingly, the majority of nuclei in BrDU+ Kif1a-depleted cells were located within 10μm of the apical brain surface (Figure 1F), revealing that nuclei can enter S phase without reaching the outer ventricular zone (VZ). The morphology of these cells looked no different than control cells within the VZ (Figure 1E), with a basal process extending to the pial surface of the cortex. These results together indicate that RGP cells can progress through the entire cell cycle while remaining close to the ventricular surface (VS). We note that, although basal INM is severely inhibited, some nuclei are located as far as 25μm from the VS (see below), probably reflecting cell body crowding29 or incomplete Kif1a knockdown.

Figure 1. Kif1a RNAi inhibition of basal nuclear migration in RGP cells has no effect on cell cycle progression.

Figure 1

A–E. E16 rat embryonic brains were subjected to in utero electroporation with the pRNAT vector expressing either scrambled or Kif1a shRNAs. Brains were then fixed at E20, stained with cell cycle markers as indicated (A–E). There was no substantial change in the percent of cycling (Ki67), mitotic (PH3), G1 (CyclinD1), S (BrDU after 20 min pulse label) or G2 (Geminin) cells. Scale bars represent 15 μm. F. The percentage of BrDU-positive nuclei after 20-min pulse label located less than 10 μm from or at the ventricular surface (VS) greatly increased in RGP cells expressing Kif1a RNAi (<10 μm: scramble, 17.66 ± 4%, n = 3; Kif1a shRNA, 45.19 ± 4.2%, n = 4, P = 0.0079; at the VS: scramble, 1.58 ± 1.4%, n = 3; Kif1a shRNA, 14.4 ± 1.4%, n = 4, P = 0.0079). **P < 0.01. Error bars represent mean ± s.d.

To visualize cell cycle progression directly, we imaged live brain slices beginning three days after electroporation (to ensure adequate knockdown) for up to 40 hours, sufficient to enable tracking through two mitotic events (based on 20 hr cell cycle estimated from mitotic index; Figure 1D). Nuclei in control RGP cells exhibited migration in both apical and basal directions, undergoing mitosis at the apical surface as expected (Figure 2A). In Kif1a shRNA-expressing cells, nuclei could be followed throughout the end of apical migration and mitosis at the VS. As expected, the reformed nuclei were deficient in basal migration (Figure 2B). Some did exhibit short departures from the VS (Figure 2C–D), again possibly reflecting incomplete Kif1a knockdown or cell body crowding. However, following cytokinesis, most of the reformed nuclei remained at the VS and then divided again, direct evidence for persistent progression through the cell division cycle (Figure 2B).

Figure 2. RGP cells exhibit persistent symmetric divisions despite basal migration arrest.

Figure 2

Brain slices prepared following in utero electroporation with Kif1a or scrambled shRNAs were cultured at E19 and monitored by live imaging for 40–45 hrs. Time lapse duration shown (in hr:min) was varied as needed to include major INM events. A. Control RGP cell (arrow) undergoes two cycles of INM, each time exhibiting basal and then apical nuclear migration, followed by mitosis at the ventricular surface of the brain slice (1:45; 20:00). B. Nucleus of Kif1a knockdown RGP (arrow) initially undergoes apical INM and divides (2:00). The one nucleus which stays in the image focal plane remains at the ventricular surface for ~18 hr before dividing again (20:15; arrows). C and D. RGP cells co-expressing Kif1a shRNA and DsRed-centrin II were able to divide either symmetrically (C) to form two RGP cells or asymmetrically (D) to form a RGP cell and a neuron/neuronal progenitor. Daughter RGP cells were identified by presence of an apical process (arrows) and an apically-sequestered centrosome (arrowheads) at the ventricular surface of the brain slice. Newly-born neurons were identified by movement towards the SVZ (arrows), absence of an apical process, and centrosomal movement away from the ventricular surface (arrowheads). E. Quantification of the symmetric vs asymmetric RGP divisions based on the average of every recorded cell, pooled from multiple examples of live imaging (see panels C and D) revealed that Kif1a shRNA causes a severe shift toward symmetric divisions (symmetric: scramble 28%, Kif1a shRNA 68%; asymmetric: scramble 72%, Kif1a shRNA 32%; n=25 cells per condition). F. Quantification of cleavage plane orientation (based from the average of every recorded cell, pooled from multiple live imaging events) indicates a similarly marked shift to a horizontal cleavage plane orientation (0–30°: scramble 33.33%, Kif1a shRNA 16.66%; 30–60°: scramble 36.66%, Kif1a shRNA 30%; 60–90°: scramble 30%, Kif1a shRNA 53.33%; n=30 cells per condition). Scale bars 20μm (A–B), 15μm (C–D).

Kif1a RNAi results in a decrease in neurogenic divisions

These results argue strongly against a role for altered cell cycle progression in the increased ratio of progenitors resulting from Kif1a RNAi9. Therefore, we examined mitotic cells for the ratio of symmetric (proliferative; Figure 2C and Supplemental Movie 1) vs. asymmetric (neurogenic) divisions (Figure 2D and Supplemental Movie 2). For this purpose, we monitored mitosis live and scored cells for cytokinetic plane; centrosome position, using DsRed-centrinll; morphology; and migration behavior of the progeny cells (Figure 2C–D). By these indicators, Kif1a RNAi caused a marked increase in the percent of symmetric divisions compared to control (Figure 2E–F). This result is consistent with the increase in Pax6-positive Kif1a shRNA-expressing cells, though absolute fraction of these cells relative to total was too low (9.3±2%, n=5) to detect over-all changes in Pax6-positive cell density or VZ thickness.

Kif1a RNAi blocks multipolar-bipolar transition in neurons

Despite the limited consequences of altered basal INM on cell cycle progression, Kif1a RNAi caused an accumulation of cells in the subventricular zone (SVZ)/lower intermediate zone (IZ; Figure 3A)9,20. Cells in this region of control brains typically assume a multipolar morphology, before reorganizing to a bipolar form and migrating toward the cortical plate (CP). The Kif1a shRNA-accumulated neurons were largely multipolar, suggesting a potential failure in the multipolar-bipolar transition (Figure 3A–B). The multipolar stage has been reported to last > 24 hours7, but can be detected by long-term live imaging9. Control multipolar neurons were seen to transition to a bipolar morphology (Figure 3C, and Supplemental Movie 3). In contrast, none of the multipolar Kif1a-depleted neurons converted to the bipolar morphology over a comparable period, supporting a block at this stage of morphogenesis (Figure 3D–E and Supplemental Movie 4). Nonetheless, a few bipolar Kif1a-depleted neurons could be detected in the IZ/CP. These neurons were able to migrate normally towards the cortical plate at similar rates to those of control (data not shown). These results suggest that KIF1A is not required for bipolar neuronal migration, but is essential for regulating the switch to the bipolar migratory morphology.

Figure 3. Cell-autonomous and non-autonomous effects in neuronal morphogenesis and gene expression.

Figure 3

Histological analysis and live imaging of rat brains in utero electroporated with Kif1a and scrambled shRNA vectors at E16. A. Coronal sections of E20 rat brains showing an accumulation of multipolar neurons in the SVZ/lower IZ in Kif1a knockdown compared to control. B. Quantification of the number of multipolar vs bipolar E20 neurons in the cortex in Kif1a knockdown compared to control (multipolar: scramble 34.75±6.2%, Kif1a shRNA 75.15±9.5%, p< 0,0001; bipolar: scramble 62.25±6.2%, Kif1a shRNA 24.85± 9.5%, p< 0,0001; n=10 scramble and 9 Kif1a shRNA).C and D. E20 brain slices were cultured for ~40 hrs during which we monitored, within the SVZ-lower IZ, control multipolar cell converting to a bipolar morphology by 15 hours (C), and absence of the transition in Kif1a knockdown cells (D). E. Quantification of live analysis. During ~40 hrs of imaging, ~ 30% of all recorded control multipolar cells (pooled from multiple live imaging events), located in the IZ, converted to a polar migratory morphology, while none of the Kif1A knockdown cell showed this behavior (Scramble: n= 51 cells, 70,6% multipolar and 29,4% bipolar; and Kif1a shRNA= 16 cells, 100% multipolar). F and G. Low and high mag coronal sections of Kif1a vs. control rat brains immunostained at E20 for the neuronal marker Tbr1. As expected, Tbr1 staining is seen in bipolar neurons (arrows) within the upper IZ and CP (F). However, Kif1a RNAi resulted in ectopic Tbr1 staining in transfected as well as surrounding non-transfected cells in the SVZ/lower IZ. ***P<0.001; mean ± SD. Scale bars 100μm (A and low mag in F and G), 15μm (C, D and high mag in F and G).

Cell fate of arrested neurons

To characterize the effects of Kif1a RNAi on further neuronal differentiation, we stained brain sections with a number of neuronal markers. Tbr1 is normally expressed in post-mitotic projection neurons30,31. In E20 control brains, only bipolar neurons located in the upper IZ and CP were positive for this marker (Figure 3F). Multipolar neurons within the SVZ/lower IZ were Tbr1 negative. However, brains subjected to Kif1a RNAi exhibited Tbr1 staining in most of the multipolar neurons accumulated within the SVZ/lower IZ (Figure 3G). This suggests that the sequence of neuronal gene expression persists in these cells, despite the arrest in migration.

To extend our cell fate analysis to later neuronal markers, we used the stronger CAG promoter to better visualize shRNA expressing cells (Supplementary Fig. 2) and followed brain development postnatally. By P7, all cells transfected with control shRNA had reached the superficial cortical layers (Figure 4A), and were positive for the neuronal marker NeuN (Figure 4B) and the superficial layer marker CDP (Figure 4D). In striking contrast, Kif1a-depleted cells remained as a broad subcortical band in what had become the white matter (Figure 4A), and remained positive for NeuN and CDP (Figure 4C–E). Similar to knockdown of other genes32, some of these neurons seemed to remain multipolar, but with very short processes, while others had no processes, and their subsequent fate is uncertain.

Figure 4. Cell autonomous and non-autonomous effects on neuronal markers at P7.

Figure 4

E16 rat brains were electroporated in utero using pCAG-RFP alone as a control or with Kif1a shRNA subcloned into the U6 vector to ensure that expression would persist in postnatal pups. Histological analysis of brains was examined at postnatal day (P)7. A. Representative neocortical sections showing the laminar position of transfected cells. In control brain, RFP-positive cells are mainly found in layers II/III/IV of the neocortex. In contrast, in Kif1a shRNA brains, RFP-positive cells remained in the white matter (WM) located in a heterotopic band near the ventricular surface. B–E. Immunostaining for the neuronal marker NeuN (B) and the upper cortical layer marker CDP (D) was observed near the pial surface in control transfected brain, but near the ventricular surface in Kif1a knockdown brain (C and E). F and G. High-magnification views of the boxed sections in merged images for control vs. Kif1a knockdown brains show both transfected and non-transfected cells positive for NeuN (F) and CDP (G).H. Ratio of transfected to non-transfected NeuN+ and CDP+ neurons, in a surface area of 0.04 mm2 (transfected cells: NeuN 31.25, CDP 32.28; non-transfected cells: NeuN 244.25, CDP 259.57). Scale bars 100μm (A–E), 25μm (F and G).

Non-cell autonomous effects of Kif1a RNAi

A particularly surprising observation was the effect of Kif1a RNAi on surrounding, non-transfected cells. At E20, a large proportion of these cells within the SVZ/lower IZ were also multipolar and Tbr1-positive (Figure 3G). Furthermore, by P7, the heterotopic band of cells in the white matter was NeuN and CDP positive (Figure 4F–H). Assuming that Kif1a expression, itself, is unaltered in these cells, the heterotopic band must be caused by a non-cell autonomous effect of the Kif1a knockdown. In contrast, knockdown of the dynein-related genes BicD2, Cenp-F, and Nup133, which causes similar accumulation of multipolar cells in the SVZ, showed no indication of inducing late neuronal marker expression (Supplementary Fig. 3A–C). These results indicate that the non-cell autonomous effect is Kif1a RNAi-specific and not a general consequence of multipolar arrest.

To test further for a non-cell autonomous effect of Kif1a RNAi, we performed sequential in utero electroporations33. In contrast to co-electroporation, most cells appeared singly transfected after sequential electroporation (Supplementary Fig. 4; co-electroporation: 45.17±7.8% n=5; sequential electroporation: 24.72±2.5% n=5; p=0.0025). Four days after sequential electroporation, cells expressing either GFP-scrambled or cytoplasmic RFP were comparably distributed throughout the IZ and CP (Figure 5A). In contrast, sequential electroporation with pCAG-RFP and Kif1a shRNA caused both classes of cell to accumulate within the SVZ/lower IZ with a multipolar morphology, and to express ectopic Tbr1 (Figure 5B), further evidence for a non-cell autonomous effect of Kif1a RNAi.

Figure 5. Sequential electroporation test for non-cell autonomous effects of Kif1a RNAi.

Figure 5

A. E16 rat brains were electroporated with p CAG-RFP and30 min later with GFP-scrambled plasmid. Brain sections were prepared 4 days after electroporation and showed similar distributions of RFP+ and GFP+ cells through the cortex, and normal Tbr1 staining. B. In contrast, sequential electroporation of pCAG-RFP followed by GFP-Kif1a shRNA resulted in an accumulation of both RFP+ and GFP+ neurons in the SVZ and lower IZ. Immunostaining against Tbr1 revealed that neurons in the SVZ/lower IZ expressing only RFP were ectopically positive for Tbr1, similarly to the neighboring Kif1a-depleted cells. C. Quantification of the nuclear distance from the ventricular surface (VS) for RGP cells after electroporation of scrambled or Kif1a RNAi alone or RFP+ RGP cells after sequential electroporation of GFP-scrambled (scramble-sqtial) or Kif1a RNAi (Kif1a shRNA-sqtial). Nuclear distribution of RFP+ RGP cells was not significantly altered after sequential electroporation of GFP-Kif1a RNAi (0–10: scramble 30.14±2.4%, scramble-sqtial 29.96±8.7%, Kif1a shRNA 51.61±2%, Kif1a shRNA-sqtial 30.84±4.4%; 10–20: scramble 29.97±1%, scramble-sqtial 34.50±6%, Kif1a shRNA 27.09 ±6%, Kif1a shRNA-sqtial 32.94±4.5%; 20–30: scramble 23.52±1.4%, scramble-sqtial 20.86±6.3%, Kif1a shRNA 18.51±4.7%, Kif1a shRNA-sqtial 23.13±6.3%;>30: scramble 15.87±1.2%, scramble-sqtial 14.67±2.7%, Kif1a shRNA 1.7±1.2%, Kif1a shRNA-sqtial 13.07±2.2%; n=6 for each), suggesting Ki1a depletion does not have a non-cell autonomous effect on INM in neighboring RGP cells. 0–10: p=0,0022 for scramble vs Kif1a shRNA, and p= 0,9004 for scramble-sqtial vs Kif1a shRNA-sqtial; 10–20: p=0,0931 for scramble vs Kif1a shRNA, and p=0,6688 for scramble-sqtial vs Kif1a shRNA-sqtial; 20–30: p=0,0260 for scramble vs Kif1a shRNA, and p=0,7316 for scramble-sqtial vs Kif1a shRNA-sqtial; >30: p=0,0022 for scramble vs Kif1a shRNA, and p= 0,2229 for scramble-sqtial vs Kif1a shRNA-sqtial); mean ± SD. *P<0.05; **P < 0.01. Scale bars represent 100 μm (A,B).

Sequential electroporation has previously revealed a non-cell autonomous effect of doublecortin (Dcx) RNAi on the migration of nearby control neurons33. This observation and a reported interaction between Kif1a and Dcx raise the possibility of a functional relationship20. To test for additional common features, we performed Dcx RNAi and stained for Tbr1 (Supplementary Fig. 3D). Similar to Kif1a, Dcx knockdown cells accumulated in the SVZ/lower IZ, and, along with nearby non-transfected cells, exhibited ectopic Tbr1 expression.

Relationship between Kif1a roles in RGP cells and neurons

We observed no apparent effect of Kif1a shRNA-expressing cells on INM in nearby control RGP cells (Figure 5C). This result suggested that the non-autonomous Kif1a RNAi effects are specific to post-mitotic neurons.

We also knocked down Kif1a either specifically in RGP cells (BLBP; Figure 6A–B) or neurons (NeuroD; Figure 6C–D). By four days post electroporation, Kif1a knockdown in RGP cells caused the expected accumulation of nuclei near the VS (Figure 6B). However, there was no effect on morphology or Tbr1 expression in neuronal progeny cells in the SVZ/IZ or on nearby non-transfected neurons (Figure 6A). In contrast, Kif1a knockdown using the NeuroD1 promoter caused accumulation of both transfected and non-transfected neurons in the multipolar state with ectopic Tbr1 expression (Figure 6C), as we had seen for constitutive Kif1a RNAi (Figure 3). Together, these results support distinct early and late roles for KIF1A in brain development, and attribute the non-cell autonomous effects of RNAi with physiological changes in nearby neurons.

Figure 6. Conditional, cell-stage-specific RNAi supports distinct sequential roles for Kif1a during brain development.

Figure 6

A. Coronal section of E20 rat brains co-electroporated at E16 with a floxed mir30-based Kif1a shRNA and a Brain Lipid Binding Protein (BLBP)-cre vector for conditional expression in RGP cells. RGP-specific depletion of Kif1a leads to an accumulation of RGP nuclei close to the ventricular surface (boxed region, high mag), but had no effect on the morphology or Tbr1 expression in neuronal progeny cells expressing residual GFP, or on Tbr1 expression in nearby neuronal precursors. B. Quantification of the distance of RGP nuclei from the ventricular surface (VS) at E20 (0–10: scramble 30.14±2.4%, Kif1a shRNA 51.61±2%, BLBP-cre+EV 34.62±2%, BLBP-cre+Kif1a shRNA 48.85 ±4%; 10–20: scramble 29.97±1%, Kif1a shRNA 27.09±6%, BLBP-cre+EV 33.8±1.6%, BLBP-cre+Kif1a shRNA 34.35±8%; 20–30: scramble 23.52±1.4%, Kif1a shRNA 18.51± 4.7%, BLBP-cre+EV 19.5±0.8%, BLBP-cre+Kif1a shRNA 13.28±6.5%; >30: scramble 15.87±1.2%, Kif1a shRNA 1.7±1.2, BLBP-cre+EV 12.06±0.8%, BLBP-cre+Kif1a shRNA 4.03±3.1%; n=6 scramble, Kif1a shRNA, BLBP-cre GFP and 4 BLBP-cre GFP+Kif1a shRNA) showing a significant accumulation of Kif1a knockdown cells at the VS. C. Coronal section of E20 rat brains co-electroporated with a floxed mir30-based Kif1a shRNA and a NeuroD-cre vector for conditional expression in neurons. Neuron-specific depletion of Kif1a leads to an accumulation of the majority of transfected neurons at the multipolar stage within the SVZ/lower IZ. The non-cell autonomous effect of Kif1a RNAi on surrounding cells was similarly preserved as determined by anti-Tbr1 staining. D. Quantification of RFP-positive cell distribution in the cortex at E20 (VZ/SVZ: NeuroD-cre+EV 19.12±3.7%, NeuroD-cre+Kif1a shRNA 67.15±2.6%; IZ: NeuroD-cre+EV 37.66 ±6.1%, NeuroD-cre+Kif1a shRNA 31.21±1.3%;CP: NeuroD-cre+EV 43.21±7.4%, NeuroD-cre+Kif1a shRNA 1.63±2%; n=6 NeuroD-cre+EVand 5 NeuroD-cre+Kif1a shRNA) showing a significant increase of Kif1a knockdown cells in SVZ/lower IZ. *P<0.05,**P<0.01 (0–10: p=0,0022 for scramble vs Kif1a shRNA, and p=0,0095 for BLBP-cre GFP vs BLBP-cre GFP+Kif1a shRNA; 10–20: p=0,0931 for scramble vs Kif1a shRNA, and p>0,9999 for BLBP-cre GFP vs BLBP-cre GFP+Kif1a shRNA; 20–30: p=0,2333 for scramble vs Kif1a shRNA, and p=0,0260 for BLBP-cre GFP vs BLBP-cre GFP+Kif1a shRNA; >30: p=0,0022 for scramble vs Kif1a shRNA, and p=0,0190 for BLBP-cre GFP vs BLBP-cre GFP+Kif1a shRNA; VZ/SVZ: p=0,0043: IZ: p=0,0823; CP: p=0,0043); mean ±SD. Scale bars 100μm (A and C), 15μm (high mag in A).

Altered RGP morphology, as observed from Filamin-A knockdown, inhibits glial-guided neuronal migration, resulting in periventricular heterotopia34. To test for this form of non-cell autonomous effect, we stained Kif1a knockdown cells for vimentin, but observed no apparent effect on RGP structure (Supplementary Fig. 5A). Furthermore, the basal processes of Kif1a depleted RGP cells were found to remain extended to the pial surface of the cortex (Supplementary Fig. 5B).

The R18W Human mutation alters INM and neuronal migration

A somatic autosomal dominant mutation in human KIF1A identified by deep sequencing was recently reported to cause frontal pachygyria27, consistent with a defect in neuronal migration. To test the effects of this mutation in rat, we expressed a human cDNA encoding the same missense mutation, p.R18W, by in utero electroporation into E16 rat brain. We observed no defect from control wild-type human KIF1A expression (KIF1A-FL: Figure 7A)9. p.R18W expression, however, accumulated multipolar neurons in the SVZ/lower IZ with very few bipolar neurons (Figure 7B–C), consistent with the effects we observed for Kif1a RNAi. The mutant protein also induced Tbr1 expression in most of the transfected multipolar neurons and nearby non-transfected cells (Figure 7B). We also observed clear accumulation of RGP nuclei at the VS of the brain, consistent with a block in basal INM (Figure 7B, 7D). These data reveal the human mutation to affect both functions altered by RNAi.

Figure 7. Effect of KIF1A R18W human mutation on INM and neuronal migration.

Figure 7

A and B. Coronal sections of E20 rat brains electroporated at E16 with cDNAs encoding the human wild-type, KIF1A-FL (A), or the human mutant form of KIF1A, KIF1A-R18W (B). Expression of KIF1A-R18W results in a defect in INM as evidenced by the close proximity of nuclei to the ventricular surface (see high mag panel), in neuronal migration, as indicated by the accumulation of neurons in the SVZ/lower IZ, and a non-cell autonomous effect on neighboring cells as revealed by ectopic Tbr1 staining in these regions (high mag). C. Quantification of cell distribution in the cortex at E20 (VZ/SVZ: KIF1A-FL 26.18±3.3%, KIF1A-R18W 65.48±7.4%; IZ: KIF1A-FL 36.91±2.6%, KIF1A-R18W 31.32±9%;CP:KIF1A-FL 36.89±0.7%, KIF1A-R18W 3.1±3.1%; n=5 KIF1A-FL and 6 KIF1A-R18W) showing a significant increase of mutant cells in SVZ/lower IZ. D. Quantification of the distance of RGP nuclei from the ventricular surface (VS) at E20 (0–10: KIF1A-FL 25.76±5.5%, KIF1A-R18W 55.2±5.4%; 10–20: KIF1A-FL 33.37±2.2%, KIF1A-R18W 28.75±3.3%; 20–30: KIF1A-FL 21.47±2%, KIF1A-R18W 11.74±7.6%; >30: KIF1A-FL 19.17±4.4%, KIF1A-R18W 4.3±1.3%; n=5 KIF1A-FL and 6 KIF1A-R18W), revealing accumulation at this site for the mutant, but not wild-type, KIF1A. *P<0.05, **P<0.01 (VZ/SVZ: p=0,0043: IZ: p=0,329; CP: p=0,0043; 0–10: p=0,0043; 10–20: p=0,0303; 20–30: p=0,0087; >30: p=0,0043); mean ± SD. Scale bars 100μm (A and B), 15μm (high mag in A and B).

BDNF and KIF1A are essential for neuronal migration

How KIF1A contributes to post-mitotic neuronal migration is not understood. It has been found to participate in vesicular transport in non-neuronal and neuronal cells21,35,36 and contributes to dense core vesicle transport37. Thus altered Kif1a expression or activity might potentially interfere with growth factor transport and secretion. Vesicles containing the neurotrophin Bdnf (brain-derived neurotrophic factor), in particular, were implicated to be under Kif1a control38. Bdnf is expressed in the neocortex throughout brain development39, and has also been reported to accelerate overall redistribution of cortical neurons40.

These observations suggested that Bdnf may explain some of the more unusual aspects of the Kif1a knockdown phenotype. To test this possibility, we performed Bdnf RNAi by in utero electroporation at E16. By E20, we observed an accumulation of multipolar neurons in the SVZ and lower IZ (Fig. 8a,b), comparable to the effects of Kif1a RNAi. Moreover, most of the Bdnf-depleted and nearby non-electroporated multipolar neurons ectopically expressed Tbr1 (Fig. 8a), phenocopying the non-cell autonomous effect of Kif1a RNAi. However, by P7 we also saw no clear accumulation of non-transfected cells in the white matter or ectopic accumulation of the late neuronal marker CDP. These results suggest either less complete inhibition by Bdnf versus Kif1a RNAi or a contribution of other Kif1a-dependent neurotrophic factors at postnatal stages of development. We also tested the effects of Bdnf RNAi on nuclear migration in RGP cells, which appeared to be normal, as the distribution of nuclei near the VS in fixed brain sections was comparable to controls (Fig. 8c).

Figure 8. Role of BDNF in KIF1A pathway.

Figure 8

A. E20 coronal sections of rat brains electroporated at E16 with Bdnf shRNA. BDNF knockdown resulted in a potent accumulation of neurons in the SVZ and lower IZ (high magnification), as well as ectopic expression of Tbr1 throughout this region, comparable to the effects of Kif1a RNAi. B. Quantification of data in A (VZ/SVZ: control, 22.54 ± 2.3%; Bdnf shRNA, 68.12 ± 4.7%; IZ: control, 45.91 ± 4.1%; Bdnf shRNA, 30.13 ± 5%; CP: control, 31.54 ± 3.2%; Bdnf shRNA, 1.7 ± 2.5%; n = 6). C Quantification of the distance of RGP nuclei from the VS at E20 (0–10: control, 33.17 ± 3%; Bdnf shRNA, 34.6 ± 1.1%; 10–20: control, 34.04 ± 1.5%; Bdnf shRNA, 33.5 ± 2.1%; 20–30: control, 23.8 ± 1.4%; Bdnf shRNA, 24.12 ± 2.4%; >30: control, 9 ± 4%; Bdnf shRNA 7.75 ± 3.2%; n = 4 control and 7 Bdnf shRNA), revealing no INM defect after Bdnf depletion. D. E19 coronal rat brain slices cultured for 24 h in the presence of recombinant BDNF (50 ng ml–1) in phosphate-buffered saline (PBS), or control vehicle alone, and then fixed and examined by microscopy. BDNF treatment rescued the non–cell autonomous effect caused by Kif1a shRNA, as evidenced by restoration of migration in non-transfected cells and normal Tbr1 distribution. **P < 0.01 (VZ/SVZ, IZ and CP: P = 0.0022; 0–10: P = 0.3818; 10–20: P = 0.7818; 20–30: P > 0.9999; >30: P = 0.4424). Error bars represent mean ± s.d. Scale bars represent 100 μm (A,D) and 15 μm (high magnification in A).

We then treated E19 Kif1a knockdown slices with recombinant BDNF (50 ng ml–1; Fig. 8d)41. Neurons expressing Kif1a RNAi were still arrested in the SVZ and IZ at the multipolar stage, although they no longer expressed Tbr1, as in normal cells. Notably, BDNF application reversed the non–cell autonomous Tbr1 staining in control cells in the SVZ and lower IZ, and was restored to its normal distribution as a band in the CP. The region of Tbr1 staining was, however, thinner and more superficially located than in control brain, suggesting that migrating cells travel faster and/or further in the presence of excess BDNF. We also tested the effects of BDNF after depletion of Kif1a specifically in neurons and on cells expressing the KIF1A R18W mutant (Supplementary Fig. 6b,c). In both cases, BDNF again failed to reverse the migratory and morphogenetic arrest of the transfected cells, although Tbr1 expression was blocked and the non-autonomous effect on surrounding cells was eliminated. We also analyzed Bdnf knockdown brains at P7, where we again observed an accumulation of the transfected cells in what was now the white matter, but a dispersed distribution of individual cells throughout the cortical layers (Supplementary Fig. 7c).

Together, these data suggest that Bdnf contributes to the non-cell autonomous effects of Kif1a knockdown, likely in its role as a diffusible neurotrophic agent. As a further test of this possibility we performed RNAi for the Bdnf receptor TrkB. We again observed an accumulation of knockdown cells in the SVZ/lower IZ (Supplementary Fig. 3E). However, there was no indication of a non-cell autonomous effect on surrounding control cells in this region, as judged by the absence of ectopic Tbr1 expression.

These results also suggested BDNF treatment as an additional test for a common Kif1a-Bdnf-Dcx pathway. We found, in fact, that BDNF application to brain slices from Dcx knockdown rats completely reversed the non-cell autonomous accumulation of multipolar cells within the SVZ/lower IZ and ectopic expression of Tbr1 in these and the Dcx knockdown cells (Supplementary Fig. 6A).

Bdnf shRNA caused no change in cell fate, as judged by immunostaining with Pax6 (RGPs) and TuJ1 (neurons; Pax6: control, 19.33 ± 5.1%, n = 4; Bdnf shRNA, 15.96 ± 3.2%, P = 0.3429, n = 4; Tuj1: control, 45.83 ± 4.1%, n = 5; Bdnf shRNA, 48.17 ± 4.7%, n = 4, P = 0.4127; Supplementary Fig. 7a,b). Finally, BDNF application failed to rescue INM in Kif1a-depleted brain sections (Supplementary Fig. 6d,e). Together, these results argue that BDNF has a critical role in postmitotic neuronal migration, but not in the earlier steps of brain development.

DISCUSSION

Our earlier work revealed that Kif1a RNAi specifically blocks basal INM in RGP cells9, and decreases neuronal number, but the relationship between these effects had remained unclear. We find here that cell cycle progression persists even when basal INM is blocked, but that self-renewing divisions are greatly increased (Supplementary Fig. 7E). The remaining post-mitotic neurons arrest in the SVZ/IZ at the multipolar-to-bipolar transition, while strikingly expressing later differentiation markers and potently altering morphogenesis and gene expression in surrounding non-transfected cells. These effects are mimicked by Dcx and Bdnf RNAi, and rescued by BDNF application, providing insight into an emerging brain developmental pathway.

Consequences of basal INM inhibition

INM has long known to be entrained with RGP cell cycle progression, but cell cycle control of INM and vice versa remains only partially explored. We have found that blocking apical INM prevents mitotic entry10, providing clear evidence that nuclear position controls the G2-M transition. We find the effects of Kif1a inhibition to be quite different. Kif1a RNAi and expression of the R18W mutant caused clear accumulation of nuclei at or near the ventricle in the developing neocortex. Cell cycle progression persisted, however, as judged by normal or near-normal numbers of cells in G1-, S-, and M-phase. Particularly noteworthy was the unusual presence of BrDU-positive nuclei near or at the VS (Figure 1E–G). S-phase normally occurs at a distance from the ventricle, but our data reveal that DNA replication is actually free of spatial constraint.

Although Kif1a RNAi had little cell-cycle effect, the ratio of asymmetric-to-symmetric RGP cell divisions decreased markedly, as judged by live mitotic behavior. This effect may well contribute to the increase in RGP cells and decrease in neurons generated in Kif1a knockdown brain9 (this study).

The decrease in neurogenic divisions might, conceivably, reflect increased exposure of RGP nuclei to proliferative signals near or decreased exposure to differentiative signals away from the VS42. In this view, mitotic spindle orientation might be an indirect consequence of nuclear exposure to environmental cues.

Alternatively, as a microtubule motor protein, KIF1A might affect spindle orientation or other aspects of the mitotic process. KIF1A is currently known exclusively for its interphase roles in vesicular transport and, in our hands, nuclear migration. However, the marked change in cell division plane that we observed could reflect a previously unknown KIF1A contribution to spindle positioning.

A major function of INM may be to accommodate more cycling cells within the VZ43, a possibility made more compelling by the restriction of mitotic entry to the VS10. RNAi-mediated inhibition of basal INM could increase crowding near the VS, and may, in part, account for the modest displacement of apparently immotile nuclei from the VS (Figure 2). However, the small fraction of RGP cell bodies displaced due to Kif1a shRNA might be insufficient to block nuclei from reaching the VS for timely mitotic entry.

Exit from the multipolar stage requires Kif1a

A striking developmental effect of Kif1a RNAi was the accumulation of multipolar neurons in the SVZ/lower IZ. Our data indicated that this result was independent of altered INM (Figure 6), but, rather, intrinsic to post-mitotic neurons. The developmental purpose of the multipolar stage and the mechanisms underlying transition to the bipolar migratory stage are incompletely understood, but our data implicate KIF1A in this process. We find that the multipolar stage may persist for several days in control cells, but much longer under conditions of reduced Kif1a expression or following expression of mutant KIF1A. Despite the near-complete inability of the knockdown multipolar cells to exit this stage, a few bipolar-shaped Kif1a-depleted cells did reach the lower IZ and the CP. Based on our analysis of the multipolar-to-bipolar transition, we suspect that these neurons must be only partially inhibited for Kif1a expression. Based on our previous studies of the dynein pathway9,10,14, we propose that KIF1A and dynein contribute to a common, major morphogenetic transition, though given the opposite direction for force production by these motor proteins, their specific molecular roles must be distinct.

Ectopic expression of late neuronal markers in Kif1a knockdown cells

Another striking aspect of the Kif1a RNAi phenotype is expression of the mature neuronal markers Tbr1, NeuN, and CDP in the arrested multipolar cells. The markers appeared in normal temporal sequence, suggesting a failure in mechanisms coordinating morphogenesis with gene expression. This aspect of the Kif1a phenotype also contrasts with the results of RNAi for dynein-related proteins, which arrests cells at the multipolar stage without expression of Tbr1 (Supplementary Fig. 3A–C). The basis for this difference will require further studies to elucidate.

Non-cell autonomous effects of altered Kif1a expression

Equally striking is the non-cell autonomous aspect of the Kif1a RNAi phenotype. As for the knockdown cells themselves, neighboring non-transfected cells within the SVZ and lower IZ were morphogenetically delayed at the multipolar stage, but still expressed late neuronal markers. This again differs from the effects of RNAi for dynein-related genes (Supplementary Fig. 3A–C), which have no apparent effect on nearby control cells and seems to arrest the neuronal gene expression program.

We envision that the non-cell autonomous effect of Kif1a RNAi may involve either physical or chemical modes of intercellular communication. Theoretically, entanglement of the multiple processes of adjacent cells within the SVZ/lower IZ might restrain non-transfected cells from migrating, though lack of such an effect for dynein-related genes argues against this model.

Direct communication among multipolar cells by secreted factors represents another possibility, and our results strongly implicate BDNF in cell-cell communication in the SVZ. KIF1A- and BDNF-positive vesicles were reported to co-migrate within axons, and the transport of the latter was affected by Kif1a RNAi37. We reasoned, therefore, that BDNF secretion within the SVZ might be affected by altered KIF1A expression. To test this possibility, we performed Bdnf RNAi, which mimicked the effects of Kif1a RNAi, a sign that these genes function in a common pathway. We also applied BDNF to rat brain slices, which rescued much of the Kif1a RNAi phenotype, including the non-cell autonomous effects. The Kif1a-depleted cells no longer expressed ectopic Tbr1, though, they did remain arrested in the SVZ/lower IZ with a multipolar morphology. This result may indicate a separate BDNF-independent role for KIF1A in morphogenesis.

Overall, we suggest that BDNF has an autocrine effect on postmitotic neurons, and a paracrine effect to coordinate the behavior of surrounding neurons. This hypothesis is supported by the strictly cell autonomous effect of TrkB RNAi, the effect of which should be to interfere solely with Bdnf intake in the knockdown cell.

Although Bdnf RNAi completely phenocopied the effects of Kif1a RNAi on post-mitotic neurons examined at E20, the consequences of Bdnf RNAi appeared less severe by P7. This could reflect less efficient inhibition of Bdnf vs. Kif1a, or a decreased importance for Bdnf during postnatal development. This reasoning is consistent with the phenotype observed in a Bdnf conditional knockout mouse, in which there was no gross disruption of cortical layers in five week old mice44.

We observed no effect of Bdnf RNAi on INM, nor did applied BDNF rescue the INM defect caused by Kif1a RNAi. Consistent with these results, Bdnf RNAi had no apparent effect on cell fate.

Relationship between KIF1A, DCX, and BDNF

Several of the effects of Kif1a RNAi and the p.R18W mutation are reminiscent of the RNAi phenotype for Dcx, which was reported to interact with Kif1a20. The initial report of Dcx RNAi effects involved an accumulation of neurons in the SVZ33. This effect was seen in nearby independently transfected control cells33, but the importance of this behavior has not been investigated further. Here we characterized the Dcx RNAi phenotype in more detail. The consequences for post-mitotic neurons, including ectopic gene expression, are remarkably similar to those we have now identified for Kif1a. Equally important, the effects of BDNF application are essentially identical for both Kif1a and Dcx knockdown cells.

Basis for KIF1A-mediated cortical malformations

A patient harboring a de novo KIF1A motor domain mutation, p.R18W, has been reported to exhibit frontal pachygyria, a thick corpus callosum, and reduction of white matter27. By expressing a human KIF1A R18W cDNA in rat brain progenitors in utero (Fig. 7) we observed clear defects in both neuronal migration and basal INM. We speculate that the dominant effect of the cDNA reflects the ability of the mutant polypeptide to form heterodimers with the endogenous wild-type protein.

MATERIALS AND METHODS

RNAi and dominant negative construct

We used two differents shRNA for Kif1a9. Those shRNA were subcloned in different vectors: for the embryonic experiment, Kif1a-shRNA was cloned into the pRNAT-U6.1/Neo (GenScript, NJ) as it was reported previously9; for the postnatal experiments the two different shRNA were subcloned into an mU6pro vector45; for the conditional experiment we cloned the miR30-based Kif1a shRNA in the pCALSL-mir30 vector (Addgene plasmid 13786;46; primers: forward, 5′- TCGAGAAGGTATATTGCTGTTGACAGTGAGCGCTTGGCGATATCACTGACATGATAGTGAAGCCACAGATGTATCATGTCAGTGATATCGCCAAGTGCCTACTGCCTCGG-3′; and reverse, 5′-AATTCCGAGGCAGTAGGCACTTGGCGATATCACTGACATGATACATCTGTGGCTTCACTATCATGTCAGTGATATCGCCAAGCGCTCACTGTCAACAGCAATATACCTTC-3′) and co-transfected with BLBP-cre-GFP or the NeuroD-cre with pCAG-RFP. The dominant negative construct KIF1A-R18W was made by PCR mutagenesis (primers: forward, 5′-GGGTCCGCCCCTTCAATTCCTGGGAAATGAGCCGTGACTCCAA-3′; and reverse, 5′-TTGGAGTCACGGCTCATTTCCCAGGAATTGAAGGGGCGGACCC-3′) using the KOD Hot Start DNA Polymerase Kit, according to the manufacturer’s protocol (Millipore). Bdnf shRNA47 and TrkB shRNA48 were subcloned into the mU6pro vector.

In Utero Electroporation

Plasmids or oligonucleotides were transfected using intraventricular injection followed by in utero electroporation49,50. In brief, timed pregnant Sprague Dawley rats (Taconic; E16; E1 was defined as the day of confirmation of sperm-positive vaginal plug) were anesthetized with a mixture of ketamine/xylazine (respectively at 90 and 5mg/kg). For pain management, bupivacaine (2mg/kg) was administered via a subcutaneous injection at the site of the future incision, and buprenorphine (0.05mg/kg) was administered by a subcutaneous injection. This dose of buprenorphine was re-administered to the animal every 8–12 hours, for up to 48 hours following the surgery. The lateral ventricle of each embryo was injected with Fast Green (2mg/ml; Sigma, St Louis, MO, USA) combined with shRNA (1,5μg/μl). Plasmids were further electroporated by discharging a 4000 mF capacitor charged to 50V with a BTX ECM 830 electroporator (BTX Harvard Apparatus, Holliston, MA, USA). The voltage was discharged in five electrical pulses at 950ms intervals via 7mm electrodes placed on the head of the embryo across the uterine wall. For P7 experiments, animals were designated as P0 on day of birth (generally around E22). For sequential electroporation experiments, we introduced a cDNA encoding pCAG-RFP into E16 rat brain, followed 30 min later by a plasmid co-expressing GFP plus scrambled or Kif1a shRNA (We note that the number of RFP+ cells is greater than the number of GFP+ cells because of the difference in promotors). Animals were maintained according to protocols approved by the Institutional Animal Care and Use Committee at Columbia University. In general, embryonic rats experience a 1.5 to 2 day delay in development compared to embryonic mice. Therefore, E16, E19, and E20 rats are approximately equivalent to E14.5, E17.5, and E18.5 respectively (with E1 defined as the day of confirmation of sperm-positive vaginal plug). The number of animals has been calculated on the basis of the requirement for adequate numbers of brain slices and sections for sufficient imaging to provide statistically significant data on the effects of RNAi, small molecules, and other reagents used in the proposed analysis, plus controls.

Live Imaging

E20 dissected rat brains were transferred in 4% (in ACSF) low melting agarose in plastic embedding molds, and were sectioned coronally (300μm) on a vibratome (Leica microsystems). Slices were placed on 0.4μm, 30mm diameter Millicell-CM inserts (Millipore) in cortical culture medium containing 25% Hanks balanced salt solution, 47% basal MEM, 25% normal horse serum, 1X penicillin/streptomycin/glutamine (GIBCO BRL), and 30% glucose. Slice was transferred to a 50mm glass-bottom dish and was imaged on an IX80 laser scanning confocal microscope (Olympus FV100 Spectral Confocal System) at intervals of 15 min for 48 hours.

Immunostaining of Brain Slices

Rat brains were fixed (E20) or perfused (P7) transcardially with chilled saline and 4% paraformaldehyde (PFA; EMS, wt/vol) and then incubated in 4% PFA overnight. Brain slices were sectioned coronally (100μm) on a vibratome (Leica microsystems). Brain slices were washed with PBS (Phosphate-buffered saline pH 7.4) and stained in PBS 0.3% Triton X-100 supplemented with 5% of donkey serum. Primary antibodies were incubated overnight at 4°C, sections were then washed with PBS and incubated in secondary antibodies for 2 hours at 22-25°C. For BrDU labeling experiments, BrDU (Sigma-Aldrich, B5002) was injected at 50mg/kg body weight intra-peritoneally 20 min prior to embryo harvest, then, brain slices were first incubated in 2N HCl for 25 min at 37°C, and then washed in PBS prior to antibody incubation. Antibodies used in this study were: Tbr2 (Millipore, AB2283), KI67 (Millipore, AB9260), Geminin (Santa-Cruz, SC-13015), Tbr1 (Abcam, ab31940), CDP (Santa-Cruz, SC-13024), NeuN (Millipore, MAB377), Cyclin D1 (ThermoScientific, RM-9104-S0), phospho-histone H3 (Abcam, ab14955), BrDU (Abcam, ab6326), Vimentin (Millipore, MAB3400).

Pharmacology

Brains were sliced and prepared as detailed in the live imaging protocol. 300μm slices were transferred to 0.4μm, 30mm diameter filters and incubated in 1ml cortical culture medium containing BDNF (Sigma, B3795, 50ng/ml, diluted in PBS pH 7.4), overnight in a 37°C incubator with 5% CO2. For immunostaining, slices were fixed in PFA (overnight at 4°C) and incubated with Tbr1 antibody overnight at 4°C, sections were then washed with PBS and incubated in secondary antibody for 2 hours at 22-25°C.

Microscopy and Image Analysis

All images were collected with an IX80 laser scanning confocal microscope (Olympus FV100 Spectral Confocal System). Brain sections were imaged using a 60x 1.42 N.A. oil objective or a 10x 0.40 N.A. air objective. All images were analyzed using ImageJ (NIH, Bethesda, MD). P7 coronal sections were imaged at 60x and the heterotopia size was estimated in square-pixel with the ImageJ polygon tool and converted to mm2. In the defined area, using the ImageJ plugin Cell Counter, we calculated the number of transfected and non-transfected cells that were positive for NeuN and CDP markers.

Statistical data

Each experiment, “n”, represents the number of brains from at least three different mothers.

Statistical analyses were performed with Prism (GraphPad Software, La Jolla, CA, USA). A two-sample Student’s t-test was used to compare means of two independent groups if the distribution of the data was normal. If the values come from a Gaussian distribution (D’agostino-Pearson omnibus normality test) the parametric unpaired t-test with welch’s correction was used. But, when the normality test failed, the non-parametric Mann–Whitney test was used. Significance was accepted at the level of p < 0.05.

No statistical methods were used to predetermine sample sizes, but our sample sizes are similar to those generally employed in the field. No randomization was used to collect all the data, but they were quantified blindly.

Supplementary Material

1
2

Acknowledgments

We thank F. Polleux, H. Wichterle, J. Goldman and T. Dantas for critical reading and input to our manuscript. We thank G. Krietzer (Cell and Developmental Biology, Weill Cornell Medical College, New York USA), C. Cardoso and A. Falace (Institut de Neurobiologie de la Méditerranée INSERM UMR901, Marseille, France) for reagents. We thank A. Represa, C. Pellegrino and D. Doobin for advice. This project was supported by US National Institutes of Health grant HD40182 to R.B.V.

Footnotes

Author Contributions

AC and RBV conceived the project and wrote the manuscript; AC and DJH performed experiments and analyzed data. All authors read and approved the final manuscript.

Conflict of interest statement. None declared

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