1 Department of Neuroscience and Physiology, State University of New York- Upstate Medical University, Syracuse, NY 13210, USA, 2 Research Service, Veterans Affairs Medical Center, Syracuse, NY 13210, USA
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Abstract |
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Key Words: alcohol, fetal alcohol syndrome, integrin, nCAM, parietal cortex, somatosensory cortex, TGFß1
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Introduction |
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Cellular interactions important for migration are mediated through multiple groups of proteins, including cell adhesion proteins (CAPs) and growth factors. CAPs, such as neural cell adhesion molecule (nCAM), L1, astrotactin, and integrins, mediate appropriate attachment in the extracellular environment and transduce signals to cytoskeletal elements important for cell motility (Miura et al., 1992; Zheng et al., 1996
; Lambert de Rouvroit and Goffinet, 2001
; Hatten, 2002
; Nadarajah and Parnavelas, 2002
; Sobeih and Corfas, 2002
; Schmid and Anton, 2003
). One growth factor that affects cell migration is transforming growth factor (TGF) ß1. For example, TGFß1 can promote the migration of a variety non-neural cells including osteoclasts (Pilkington et al., 2001
), immune (Wahl et al., 1993
; Olsson et al., 2000
; Olsson et al., 2001
), and endothelial cells (Enenstein et al., 1992
). TGFß1 is also involved in tumorgenic cell migration, particularly that of neural-derived gliomas and neuroblastomas (Paulus et al., 1995
; Tsuzuki et al., 1998
; Platten et al., 2000
; Platten et al., 2001
).
The distributions of ligands and receptors in the developing cortex in vivo are consistent with the notion that TGFß is involved in neuronal migration. TGFß ligands (TGFß1 and TGFß2) are expressed by neurons and radial glia, respectively (Flanders et al., 1991; Miller, 2003
). TGFß receptor type 1 (TGFßIr) mRNA is found in the intermediate zone (IZ) of the developing mouse cortex (Tomoda et al., 1996
). Prenatally, both TGFßIr and TGFß receptor type 2 (TGFßIIr) protein are expressed by cells in the proliferative areas. Perinatally, TGFßIr is expressed along radial glial fibers (Miller, 2003
). Collectively, these studies provide compelling evidence that the TGFß system is involved in neuronal migration in the developing brain.
TGFß1 can influence cell migration by modulating the expression of the CAPs that mediate attachment and promote motility. Two families of adhesion proteins, integrins and cell adhesion molecules (CAMs), are upregulated by TGFß in numerous cell types (Ignotz and Massagué, 1987; Roberts et al., 1988
; Heino et al., 1989
; Ignotz et al., 1989
; Roubin et al., 1990
; Perides et al., 1994
; Stewart et al., 1997
; Luo and Miller, 1999a
; Miller and Luo, 2002
). Integrins are heterodimeric proteins that act as essential links between proteins in the extracellular environment and the cytoskeleton (van der Flier and Sonnenberg, 2001
). CAMs, e.g. nCAM and L1, mediate cellular attachment through homophilic interactions or binding with CAPs (Ronn et al., 1998
; Crossin and Krushel, 2000
). Studies of immature neurons and neuroblastoma cells show that TGFß1 up-regulates expression of nCAM (Luo and Miller, 1999a
; Miller and Luo, 2002
), a protein intimately involved in neuronal migration (Chuong et al., 1987
; Miura et al., 1992
).
Migrating neurons are targets of ethanol toxicity. Brains of human fetuses exposed to alcohol in utero exhibit defects such as neuroglial heterotopias and ectopic cell clusters (Clarren et al., 1978). Studies of animal models provide insight into possible mechanisms underlying such defects. In the neocortex, late-generated neurons intended for superficial cortical layers can be found ectopically in deeper layers of cortex (Miller, 1993
). A potential cause of this migrational error is the disruption of the radial glial scaffold upon which some neurons migrate because the radial glia prematurely differentiate into astrocytes (Shetty and Phillips, 1992
; Miller and Robertson, 1993
). Alternatively, neurons destined for the cortical plate (CP) can form heterotopic clusters beyond the limits of the cerebral wall (Clarren et al., 1978
; Kotkoskie and Norton, 1988
; Komatsu et al., 2001
). Ethanol can disrupt signals that prompt post-mitotic neurons to migrate from the proliferative zones and reduces the rate of neuronal migration. Ethanol exposure, however, does not reduce the total number of migrating cells within the cerebral wall (Miller, 1993
). Taken together, these data suggest that ethanol affects the initiation, maintenance, and completion of neuronal migration.
Ethanol interferes with the normal expression and activity of TGFß1. In vivo, prenatal ethanol exposure alters the amount of both TGFß ligand and receptor in the developing cortex (Miller, 2003). Notably, ethanol severely reduces the expression TGFßIr in radial glia. In vitro, ethanol blocks TGFß1-dependent increases in nCAM expression by B104 neuroblastoma cells (Luo and Miller, 1999a
). Furthermore, treatment of primary cultured cortical neurons with either TGFß1 or ethanol increases nCAM expression (Miller and Luo, 2002
). In contrast, combined treatment with TGFß1 and ethanol attenuates nCAM expression. Thus, it appears that TGFß1 and ethanol affect cellular changes via similar, yet unidentified, mechanisms. Functional studies of neuroblastoma cells support this conclusion. TGFß1 and ethanol are anti-proliferative agents that initiate the same signal transduction mechanisms (Luo and Miller, 1999a
,b). It is noteworthy that ethanol also affects the function of L1, by reducing L1-mediated cellcell adhesion (Charness et al., 1994
; Ramanathan et al., 1996
; Wilkemeyer et al., 1999
, 2002).
The present study tests the hypotheses that TGFß1 modulates cell migration in the developing cerebral cortex and that ethanol disrupts the action of TGFß1. Two primary goals of this study are (i) to determine whether TGFß1 influences cell migration and CAP expression in the developing cerebral cortex; and (ii) to assess whether ethanol affects the action of exogenously applied TGFß1.
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Materials and Methods |
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Pregnant SpragueDawley rats (Taconic, Germantown, NY) were anesthetized on gestational (G) day17 with a cocktail of ketamine (10 mg/kg) and xylazine (1.0 mg/kg). Embryos were collected and their brains were removed. Forebrains were dissected and cut coronally into 300 µm slices using a MacIlwain Tissue Chopper (Mickle Lab Engineering, Gomshell, UK). All slices were taken from the same rostrocaudal level in the brain that contained presumptive parietal cortex. Approximately six slice hemispheres were obtained per fetal brain. Slices from a single litter were pooled and carefully arranged on Millicell filter inserts with 0.40 µm pores; five or six slices per insert (Millipore, Bedford, MA).
Inserts were placed in 35 mm culture dishes (Falcon, Lincoln Park, NY) containing 20% fetal bovine serum (FBS), Minimal Essential Media with Hanks salts, 200 mM glutamine (Gibco, Carlsbad, CA), 25 mM HEPES, 100 mM dextrose, 25 mM KCl, 100 µM penicillin/streptomycin (Gibco), and 12.5 µM fungizone (Gibco). HEPES was added to further stabilize the pH of the medium during regular movements in and out of the incubator necessitated by the ethanol and 5-bromo-2-deoxyuridine (BrdU; Sigma, St Louis, MO) treatments. Cultures were incubated at 37°C with 95% O2/5.0% CO2. Slices remained in the FBS-laced medium for 24 h, after which the slices were incubated in a FBS-free medium containing TGFß1 (0, 2.5, 5, 10, 20 or 40 ng/ml), ethanol (100, 200, 400 mg/dl), or TGFß1 (10 ng/ml) and ethanol (400 mg/dl).
An enclosed chamber method was used to preserve a stable concentration of ethanol in the medium (Adickes et al., 1988; Luo and Miller, 1997
). Cultures were suspended over a water bath containing 100, 200 or 400 mg/dl ethanol, depending on treatment. The chambers were sealed and CO2 was added to the chambers to maintain a concentration of 5.0% CO2.
Bromodeoxyuridine Labeling and Immunohistochemistry
Following 10 h treatment with TGFß1 and/or ethanol (designated as time 0 hr; t0), slices were exposed to 0.0040% BrdU for 1 h (Luo and Miller, 1997; Haydar et al., 1999
; Jacobs and Miller, 2000
). After the 1 h exposure (t1), the BrdU-containing medium was removed and replaced with fresh, serum-free medium containing no BrdU. At t1, t6 or t12, slices were fixed in 4.0% paraformaldehyde for 30 min at room temperature. Slices were processed for cryosectioning and cut in 15 µm sections.
Cells that incorporated BrdU were visualized immunohistochemically (Miller and Nowakowski, 1988; Luo and Miller, 1997
; Jacobs and Miller, 2000
). Following a rinse with 0.10 M phosphate buffered saline (PBS) rinse, endogenous peroxidase activity in the sections was quenched with a wash in 3.0% H2O2 for 5 min. Sections were incubated in 2.0 N HCl for 30 min followed by a 1 min rinse in dH2O. Sections were incubated overnight at 4°C with an anti-BrdU antibody (Becton-Dickinsen, San Diego, CA) diluted 1:30 in PBS with 0.75% Triton X-100 and 10% goat serum. After a several rinses with PBS, sections were incubated in biotintylated goat anti-mouse antibody (Vector Laboratories, Burlingame, CA) diluted 1:400 in PBS for 1 h. Elite Vectastain ABC and DAB kits (Vector) were used to detect BrdU-labeled cells.
Some sections were processed immunohistochemically for the expression of nCAM. A procedure similar to that described above was followed with the following differences: (i) the sections were not treated with HCl; and (ii) the primary antibody was a mouse anti-nCAM antibody (Sigma) diluted 1:1000 in PBS.
Various controls for the immunolabeling were performed. For nCAM and BrdU labeling, the immunohistochemical procedure was performed without incubating the sections with a primary antibody. A second control for the BrdU studies included immunohistochemical processing of sections from slices not exposed to BrdU. The results of these controls were consistently negative.
Cerebral Wall Collection and Immunoblotting
Changes in the expression of CAPs in the cerebral wall were detected using a quantitative immunoblotting method. Slices were prepared and treated as described (see Organotypic slice cultures) and collected at t6 and t12. The section of cerebral wall used in the immunoblot analyses was limited laterally by the lateral extent of the ventricle and medially by the midpoint of the ventricle (Fig. 1A; dashed lines and arrows). The cerebral walls of eight slices from each treatment condition were collected and pooled.
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Samples were loaded on a 10% SDSpolyacrylamide gel, separated by electrophoresis, and transferred to nitrocellulose membranes. Non-specific immunoreactivity on the membranes was blocked for 2 h in 5.0% non-fat dehydrated milk (NFDM). Blots were then probed overnight at 4°C with one of the following: mouse monoclonal anti-nCAM antibody (1:1000 in PBS; Sigma) diluted in 2.5% NFDM, rabbit-polyclonal anti-integrin 3 antibody (1:200 in PBS; Chemicon, Temecula, CA), mouse monoclonal anti-integrin
v antibody (1:500 in PBS; Pharmigen, San Diego, CA), and rabbit polyclonal anti-integrin ß1 antibody (1:200 in PBS; Santa Cruz, Santa Cruz, CA). Subsequently, the membranes were incubated for 30 min with horseradish peroxidase-linked anti-mouse or anti-rabbit secondary antibody. Tagged protein bands were detected using a chemiluminescent detection reagent (Amersham, Piscataway, NJ). In most cases, the membrane was stripped of immunolabel and re-probed with an anti-actin antibody as a loading control (1:1500; Sigma).
Two standards were loaded onto each gel. One was an internal standard, which was lysate of pooled cortices from a litter of 19-day-old rat fetuses. Two samples of this internal standard were loaded onto each gel. Rainbow protein standards (Amersham) were also loaded onto each gel to determine the molecular weight of the immunolabeled protein.
Analyses
The rate of migration was calculated by determining the mean change in the mean position of the ten outermost BrdU-labeled cells between t6 and t12. The analysis focused on a 200 µm wide strip of the lateral cerebral wall (Fig. 1A; boxed region). The mean distance of the ten BrdU-labeled cells farthest from the ventricular surface was determined with the Bioquant Image Analysis System (R&M Biometrics, Nashville, TN). Measurements were taken from 35 slices from a single litter for each timepoint and treatment condition. A minimum of four litters (n 4) was used to represent each datum.
Densitometric analysis of the immunoblots was performed using an Image Station (Kodak, Rochester, NY). Data were corrected for loading variations within each blot using the amount of actin expression as a standard. Inter-blot variation was addressed by normalizing the data against the signal detected in the internal standard (Mooney and Miller, 2001).
Differences among treatment groups were assessed with an analysis of variance (ANOVA). In cases in which statistically significant (P < 0.05) differences were detected, specific differences (e.g. in time or treatment) were examined using individual t-tests.
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Results |
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In order to identify a discrete population of cells within the cerebral wall, slices were exposed to a one h pulse of BrdU (t0 to t1). At t1, BrdU-positive cells in the untreated (control) slices were confined to the ventricular zone (VZ) and subventricular zone (SZ) (Fig. 1B). This is consistent with the understandings (i) that BrdU is incorporated into cells passing through the S-phase and (ii) that cycling neural cells are distributed in the VZ and SZ (Angevine and Sidman, 1961; Hinds and Ruffett, 1971
; Rakic, 1974
; Miller and Nowakowski, 1988
; Nowakowski et al., 1989
). Six hours after introducing the BrdU (t6), most BrdU-labeled cells were in the proliferative zones, but some were distributed in the deep IZ (Fig. 1C). Presumably, this change resulted from the migration of BrdU-positive cells from the proliferative zones into the IZ. At t12, additional BrdU-labeled cells were in the IZ and they were located farther into the IZ (Fig. 1G).
To quantify the change in the distribution of BrdU-positive cells in the untreated slices, the distances of the 10 outermost labeled cells from the ventricular surface at t1, t6 and t12 were measured. At t6, the outermost 10 cells were significantly (P < 0.05) farther from the ventricular surface as compared with t1 (Figs 2 and 3A). These findings indicated that the cells had commenced their migrations by t6. By t12, the 10 outermost cells were distributed farther from the ventricular surface (Fig. 3A). The mean change in the position of the outermost cells between t6 and t12 was indicative of the rate of migration. Accordingly, the mean rate of migration of cells in untreated slices was 6.1 µm/h (Fig. 3B).
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At t1 (data not shown) and t6 (Fig. 1C,D), the distribution of the outermost BrdU-positive cells in the slices treated with TGFß1 (10 ng/ml) was comparable to that in the untreated preparations. By t12, more BrdU-positive cells in the TGFß1-treated slices were distributed in the IZ than at t6 and they were located more superficially (i.e. farther from the ventricular surface) as compared with untreated conditions (Fig. 1G,H). Thus, by t12, cells in the TGFß1-treated slices had migrated farther than cells in untreated slices.
The effect of TGFß1 (10 ng/ml) on cell migration was quantified. At t1 and t6, the outermost cells in TGFß1-treated slices were at a similar mean distance from the ventricular surface as in untreated slices (Figs 2 and 3A). The mean position of the ten outermost cells significantly (P < 0.05) differed in TGFß1-treated slices at t1 and t6 (Figs 2 and 3A). At t12, the outermost population in TGFß1-treated slices was significantly (P < 0.05) farther from the ventricular surface than cohorts in untreated slices (Fig 3C). The mean rate of migration was significantly (P < 0.05) increased (74%) by treatment with TGFß1 (Fig. 3B).
TGFß1 affected cell migration in a concentration-dependent manner [Fig. 3B; F(7,31) = 13.038; P < 0.001]. At low concentrations (i.e. 2.5 and 5.0 ng/ml), TGFß1 treatment induced a modest increase in the rate of migration (32 and 36%, respectively), however, these differences were not statistically significant (Fig. 4B). The rate of migration nearly doubled in slices treated with 10 ng/ml TGFß1 (as compared with the rate of migration in untreated slices); this increase was significant (P < 0.05). At concentrations above 10 ng/ml, however, no such increase was evident. In slices treated with high amounts of TGFß1 (40 ng/ml), the rate of migration was significantly (P < 0.05) slower than it was in either untreated slices or slices treated with 10 ng/ml of TGFß1 (Fig. 4B). Thus, TGFß1 did not always facilitate cell migration; indeed, at high concentrations, TGFß1 inhibited migration.
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The effect of ethanol (400 mg/dl) on the spatiotemporal change in the location of BrdU-labeled cells was determined. At t1, BrdU-positive cells in the ethanol-treated slices were in the proliferative zones, a pattern that was indistinguishable from that in the untreated and TGFß1-treated preparations (data not shown). Unlike the untreated and TGFß1-treated slices at t6, in the ethanol-treated slices few BrdU-labeled cells were outside the proliferative zones and were distributed closer to the ventricular surface (Fig. 1E). At t12, more cells were evident in the IZ, however, they were located deeper in the IZ than were cohorts in untreated slices (Fig. 1G,I). This implies that ethanol indeed affects cell migration.
Quantitative analysis of the period from t1 to t12 provided key information about the effects of ethanol on cell migration. At t1 the outermost BrdU-positive cells in the ethanol-treated slices were positioned similarly to those in the untreated and TGFß1-treated preparations (Fig. 2). Moreover, there was a significant (P < 0.05) change in the mean distance of the ten outermost cells in the ethanol-treated slices between t1 and t6 (Figs 2 and 3A). That is, as in the untreated and TGFß1-treated preparations, cell migration had commenced by t6. Further analysis showed that the outermost BrdU positive cells at t6 and t12 in ethanol-treated slices were significantly (P < 0.05) closer to the ventricular surface than were cohorts in the untreated slices (Fig. 3A). In fact, the rate of migration of the outermost ten BrdU-positive cells was significantly (P < 0.05) reduced (43%) by ethanol (400 mg/dl; Fig. 3B). Treatment with lower amounts of ethanol (100 or 200 mg/dl) also attenuated the rate of migration (data not shown). Both concentrations reduced the rate of migration 2126% relative to controls.
The outermost BrdU-positive cells in slices co-treated with TGFß1 (10ng/ml) and ethanol (400 mg/dl) were distributed at similar positions in the cerebral wall as those in untreated slices (Fig. 1C,F,G,J). The mean position of the outermost 10 cells in co-treated slices was not significantly different than in untreated preparations at both t6 and t12 (Fig. 3A). Furthermore, the mean rate of migration in TGFß1-ethanol-treated slices was not significantly different than untreated cultures (Fig. 3B). Interestingly, the mean rate of migration in co-treated slices was significantly (P < 0.05) different than either conditions alone, being less than TGFß1 but greater than ethanol (Fig. 3B). This suggests that ethanol disrupts TGFß1-dependent changes in cell migration.
TGFß1 Increased CAP Expression
CAPs, such as nCAM and integrin subunits 3,
v and ß1, are important for cell migration in the developing brain (Chuong et al., 1987
; Georges-Labouesse et al., 1998
; Anton et al., 1999
; Graus-Porta et al., 2001
). Thus, cortical slices were examined for TGFß1-dependent changes in CAP expression. Immunoblotting methods were used to determine whether TGFß1 affected nCAM expression. At t6, concentrations of TGFß1 (2.5, 10 and 40 ng/ml) significantly [F(5,14) = 27.934; P < 0.001] increased expression of nCAM (Fig. 5). The greatest increase in nCAM expression was detected in cultures treated with the highest concentration of TGFß1. Some change in nCAM expression occurred between t6 and t12, though it was not statistically significant. On the other hand, by t12, the expression of nCAM in TGFß1-treated slices was no longer significantly higher than untreated at t12. This was because at t12, nCAM expression in untreated cultures had risen significantly (P < 0.05) as compared with the amount of expression at t6.
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To determine whether ethanol affected CAP expression, immunoblot and immunohistochemical analysis were used. Ethanol (400 mg/dl) significantly (P < 0.05) increased expression of nCAM at t6 (Fig. 5). Lower concentrations of ethanol (100 and 200mg/dl) likewise increased nCAM expression (data not shown). The increased expression of nCAM expression was maintained between t6 and t12. Interestingly, the ethanol-induced increase in nCAM expression was similar to that detected in slices treated with a high concentration of TGFß1 (Fig. 5). The changes in nCAM expression were paralleled by immunohistochemical changes. nCAM immunolabeling was prominent in slices treated with ethanol, particularly in the IZ and CP (Fig. 6E). Intense regions of staining were commonly found around the outside of the cell body (Fig. 6K).
Like nCAM, expression of the integrin proteins was affected by ethanol. Ethanol significantly (P < 0.05) increased the expression of integrins 3,
v and ß1 at t6 (Figs 79). In addition, the expression of integrin
v and integrin ß1 was significantly (P < 0.05) greater in ethanol-treated slices than in untreated preparations at t12 (Figs 8 and 9).
Slices treated with both TGFß1 (10 ng/ml) and ethanol (400 mg/dl) were examined for changes in nCAM expression. These preparations were subjected to three comparisons: with untreated slices and with cultures treated with TGFß1 or ethanol. Co-treatment significantly (P < 0.05) increased the amount of nCAM at t6 relative to the amount of expression detected in untreated slices (Fig. 5). nCAM expression in slices co-treated with TGFß1 and ethanol was not significantly different from that of slices treated with TGFß1 alone. In contrast, TGFß1-ethanol co-treatment significantly (P < 0.05) reduced nCAM expression at t6 and t12 re slices treated with ethanol alone.
In the co-treated slices, nCAM was expressed by cells in the IZ and CP. That is, the pattern of nCAM immunolabeling within the cerebral wall of co-treated slices was the same as that in slices treated with TGFß1, ethanol, or neither substance. On the other hand, the intensity of the immunolabel appeared to be affected by co-treatment. nCAM expression in the IZ of co-treated appeared to be heterogeneous as there were cells with the intense staining characteristic of ethanol or 40 ng/ml conditions as well cells that looked similar to cells in 10 ng/ml TGFß1 or untreated (Fig. 6F). This was best exemplified at a higher magnification (Fig. 6L).
Integrin expression in slices treated with both TGFß1 and ethanol was similar as that for nCAM. Co-treatment significantly (P < 0.05) increased the expression of integrin v and integrin ß1 at t6 as compared with untreated conditions (Figs 8 and 9). In contrast, the expression of integrin
3 and integrin ß1 was significantly (P < 0.05) lower in the co-treated slices than in slices treated with ethanol at t6 and t12 and for integrin
v at t12.
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Discussion |
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Desynchrony of Cortical Development
A challenge to studying cell migration in a neuroepithelium in situ is the desynchrony in the developing brain. This is evident among proliferating cells that are distributed through all phases of the cell cycle. Thus, an acute (i.e. 1 h) pulse of BrdU indiscriminately labels a subpopulation of cells that is in or recently exited from the S-phase. Further desynchrony results from post-mitotic activity. After BrdU-labeled cells mandatorily pass through the G2- and M-phases, some cells permanently exit the cell cycle and others re-enter it (Miller and Nowakowski, 1988; Nowakowski et al., 1989
; Takahashi et al., 1995
; Miller, 1999
). This phenomenon cannot be addressed with the present model.
The movement of post-mitotic pioneer cells labeled by a BrdU pulse can be traced by focusing on the first cohort of cells to leave the proliferative zones. The present study measured the change in the position of such cells between t6 and t12. By t6, migration has commenced. This is noted by the change in the distribution of BrdU-positive cells between t1 and t6, the increased presence of labeled cells in the IZ at t6, and the significant change in the mean distance of the outermost cells from the ventricular surface between t6 and t12. Therefore, by examining the change in the position of leading cells between t6 and t12, insight into cell migration can be gleaned.
Pathways of Cell Migration
An assumption in the present study is that cortical migration occurs via a radial pathway. This is supported by many studies showing that the majority of neurons in the adult cortex are generated in the VZ and SZ and migrate along radial glia (Rakic, 1971, 1972). Recent data show that many GABAergic local circuit neurons (LCNs) are generated in the ganglionic eminence and migrate via distinct routes into the immature cortex, notably by tangential paths through the IZ, SZ, and MZ (Anderson et al., 1997
; Wichterle et al., 2001
; Jimenez et al., 2002
; Ang et al., 2003
). The pathway through the IZ raises the possibility that some of the BrdU positive cells measured in this study are migrating tangentially rather than radially. BrdU labeling studies, however, show that most LCNs migrating through the IZ (where the outermost 10 BrdU-positive cells are located at t6 and t12) are generated on G14 (Tamamaki et al., 1997
). This is four days before the slices in this study were exposed to BrdU. Thus, it is unlikely that LCNs migrating tangentially from the GE through the IZ are included in the present analysis.
LCNs migrating through the SZ (Anderson et al., 2001) or MZ (Lavdas et al., 1999
; Zecevic and Rakic, 2001
) are generated within the timeframe of BrdU exposure used in the present study (Ang et al., 2003
). Hence, the contribution from these cells must be taken into account. LCNs comprise
10% of the neurons in mature rat cortex (Peters et al., 1985
). Thus, at most, LCNs account for only one of the outermost 10 cells used in the calculation of the rate of migration. This estimate must be further reduced because (i) many LCNs are generated in the VZ and SZ and (ii) LCNs derived from the GE migrate via multiple pathways, two of which have no relevance to the present analysis, i.e. via the IZ (see above) and the MZ. Though we cannot completely discount alternative origins and migratory routes of the BrdU-positive cells analyzed in this study, the timing of the BrdU exposure and the relative contribution of future LCNs to the total migrating population reduces the impact of this confounding factor.
Though migration occurs in a discontinuous manner (Edmondson and Hatten, 1987), the net movement can be determined by examining the change in position over an extended period. In the present investigation, samples were garnered on G17 and the BrdU pulse and chase studies occurred on the equivalent of G18. In such untreated cultures, the mean net movement over six h was at a rate of 144 ± 4 µm/day. This is remarkably similar to the rate of migration in vivo for cells born on in control rats on G17. Such migrating cells move from the proliferative zones in vivo at a mean rate of 137 ± 15 µm/day (Miller, 1993
, 1999).
Cell Adhesion Proteins
As with non-neural systems, cell migration during cortical development partly relies upon appropriate CAP expression (Anton et al., 1996; Zheng et al., 1996
; Georges-Labouesse et al., 1998
; Anton et al., 1999
; Graus-Porta et al., 2001
). CAPs mediate attachments formed at the leading edges of motile cells and lost at the trailing process (Lauffenburger and Horwitz, 1996
). Not surprisingly, the present study shows that the IZ of the developing cerebral wall is heavily populated by nCAM-positive neurons. Specifically, nCAM is expressed at the surface of these IZ cells.
One unexpected, yet interesting, change in CAP expression in the untreated cultures is an increase in CAP expression, particularly nCAM and integrin 3, between t6 and t12. The mechanism underlying this change is unknown. Possibly, it results from the continued generation of cells that can express CAPs. Alternatively, the increased CAP expression may result from growth factors released by the slices into the medium. Serum-free medium conditioned by slices from neonates exhibits increased nerve growth factor (NGF) and basic fibroblast growth factor content (unpublished observations). It is also possible that the change in adhesion protein expression is a reflection of alterations in non-migrating cells (e.g. post-migratory neurons in the CP) or indicates changes in cellular CAP expression that do not translate to changes in cell-surface expression.
Effect of TGFß1 on Cell Migration
TGFß1 alters cell migration and these effects are concentration-dependent in a biphasic manner. At low and moderate concentrations, TGFß1 promotes the rate of cell movement, whereas at high concentrations, TGFß1 retards cell migration. Indeed, a similar concentration-dependent effect of TGFß1 has been described for T-cell chemotaxis; exposure to low concentrations of TGFß1 promotes chemotaxis and supraoptimal concentrations of TGFß1 are inhibitory (Franitza et al., 2002).
Not only does exogenous TGFß1 increase the rate of migration, it increases nCAM and integrin expression. Such an effect parallels the robust TGFß1-mediated up-regulation of nCAM expression in simpler neural-based systems, e.g. primary cultures of developing cortical neurons (Miller and Luo, 2002) and dissociated cultures of B104 neuroblastoma cells (Luo and Miller, 1999a
). Furthermore, these changes echo the effects of another member of the TGFß family, bone morphogenic proteins, on nCAM and L1 (Perides et al., 1994
).
As with cell migration, TGFß1 effects nCAM and integrin expression in a concentration-dependent manner. Interestingly, the effects of concentration are different for cell migration and CAP expression. Whereas the effect of TGFß1 on cell migration is biphasic, the effect on CAP expression is monophasic. That is, treatment with low or moderate concentrations of TGFß1 induces a graded increase in both the amount of CAP expression and the rate of cell migration. At a high concentration of TGFß1, however, the effects are divergent; the rate of cell migration falls while CAP expression continues to increase. One explanation is that there is an optimal working concentration of TGFß1 (10 ng/ml) to promote migration. At supra-optimal concentrations (
40 ng/ml), migrating cells express such large amounts of adhesion proteins that adhesions are too strong to be conducive to cell motility. This conclusion is supported by a study examining the relationship between the rate of cell migration in Chinese hamster ovary (CHO) cells and the expression of integrins (Palecek et al., 1997
). Increases in integrin expression only promote the migration of CHO cells to a certain amount after which higher integrin expression hinders cell migration.
Effect of Ethanol on Cell Migration
Cells in ethanol-treated slices migrate at half the rate (84 ± 14 µm/day) of cells in untreated cultures. In vivo, cells generated on G17 in an ethanol-treated rat migrate at a mean rate of 45 ± 5 µm/day (Miller, 1993). This difference between the two rates is statistically significant (P < 0.05). Interestingly, this means that the concentration of ethanol used in vitro (400 mg/dl) is less effective in slowing cell migration than is a lower exposure (
150 mg/dl) in vivo. Thus, the present data support the use of the slice cultures as a conservative model of cell migration and fetal ethanol-induced changes. In previous studies of developing cells, it was shown that higher concentrations were needed in vitro to cause similar changes in vivo. Treatment of cells with 400 mg/dl of ethanol in vitro (Luo and Miller, 1997
; Jacobs and Miller, 2001
) has a similar effect on cell cycle kinetics as 150 mg/dl ethanol in vivo (Miller and Nowakowski, 1991
).
One potential problem with examining the effects of ethanol on cell migration is that ethanol can suppress a contiguous developmental process, cell proliferation (Miller, 1989; Miller and Nowakowski, 1991
; Miller and Kuhn, 1995
). Conceivably, the change in cell migration results from an ethanol-induced decrease (i) in cell proliferation; (ii) in the number of cells that exit from the cycling population; and (iii) and in the timing of migration out of the proliferative zones (Miller, 1986
; Miller and Nowakowski, 1991
; Miller, 1993
; Jacobs and Miller, 2001
). Cell migration, however, begins in slices exposed to ethanol by t6. This is indicated by a significant change in the position of the outermost cells between t1 and t6 in the ethanol-treated slices. Thus, the ethanol-induced deficit in cell migration most likely results from ethanol-dependent changes in cell movement. Interestingly, there is a difference in the position of the outermost cells in the untreated and ethanol-treated conditions at t6. The outermost cells in the ethanol-treated condition are closer to the ventricular surface than controls. This suggests a delay in the onset of migration. Such a delay has been described as an effect of ethanol exposure in vivo (Miller, 1993
).
Like TGFß1, ethanol increased the expression of nCAM and integrin proteins in the immature cerebral wall. Note that ethanol reduces cell migration and increases CAP expression in a pattern reminiscent of that caused by high concentration (40 ng/ml) of TGFß1. In the context of the migration model described above, one way ethanol may affect cell migration in the slice cultures is by increasing CAP expression beyond optimal amounts for cell migration.
CAPs are a target of ethanol toxicity. Ethanol affects adhesion protein expression and function in various neural systems. The most thoroughly studied CAP is nCAM (Luo and Miller, 1999a; Miñana et al., 2000
; Miller and Luo, 2002
). Gestational ethanol exposure alters normal expression of nCAM in the postnatal rat brain, including a decrease in expression overall as well as a decrease in nCAM cell surface expression in cultured astrocytes (Miñana et al., 2000
). The functional, adhesive properties of CAMs, like L1, are also vulnerable to ethanol exposure. Ethanol disrupts L1-dependent cell adhesion without effecting the expression of the receptor, suggesting that ethanol physically blocks the homophilic interaction between L1 molecules (Charness et al., 1994
; Ramanathan et al., 1996
; Wilkemeyer et al., 1999
).
The disruption of normal integrin expression within the developing cerebral cortex is a novel mechanism through which ethanol may interfere with cell migration. Ethanol can potentiate integrin expression by hepatocytes (Schaffert et al., 2001). The present data showing the effects of ethanol on integrin expression and cell migration are fascinating in light of recent studies of knockout mice deficient in integrin subunits. Mice lacking integrin
3 exhibit abnormal neuronal migration and premature differentiation of radial glia into astrocytes during cortical development (Anton et al., 1999
). This phenotype is similar to that described in rats prenatally exposed to ethanol (Shetty and Phillips, 1992
; Miller and Robertson, 1993
). Likewise, integrin ß1 knockout mice also feature inappropriate neuronal migration (Graus-Porta et al., 2001
). Ectopic cells are common in the MZ and the pial surface is abrogated. Such migratory defects are not uncommon in human and rodent brains exposed to alcohol (Clarren et al., 1978
; Kotkoskie and Norton, 1988
; Komatsu et al., 2001
; Miller and Mooney, 2004
; Mooney et al., 2004
).
Interaction of TGFß1 and Ethanol on Cell Migration and CAP Expression
Combined treatment with TGFß1 and ethanol results in a rate of migration similar to untreated conditions. This implies either that ethanol interferes with TGFß1-dependent changes in cell migration or that TGFß1 counters the depressive effects of ethanol. CAP expression is also effected by TGFß1-ethanol co-treatment. Ethanol and TGFß1 treatment alone increase CAP expression. Instead of an additive effect, however, co-treatment reduces CAP expression. This suggests that the restoration of a normal rate of migration in the TGFß1-ethanol co-treated slices may be a consequence of a level of CAP expression that facilitates normal cell motility. Furthermore, the data indicated that TGFß1 and ethanol might modulate CAP expression, and possibly cell migration, through similar mechanisms. Studies of neuroblastoma cells (Luo and Miller, 1999a,b) support this conclusion. TGFß1 and ethanol are both anti-mitogenic and they initiate the ras/raf/mitogen-activated protein kinase (MAPK) pathway in a similar manner. Both substances induce a similar response in MAPK activity, i.e. a sustained increase.
The Endogenous TGFß System Regulates Migration and Is the Target of Ethanol Toxicity
The developing cortex comprises TGFß ligands and receptors (Heine et al., 1987; Flanders et al., 1991
; Pelton et al., 1991
; Tomoda et al., 1996
; Miller, 2003
). TGFß1 is expressed by cells in the proliferative zones and TGFßIr and its sister receptor, TGFßIIr, are expressed by migrating neurons and radial glia. Thus, the TGFß system is endogenous to the developing cerebral cortex, and it is strategically expressed to play a role in neuronal migration. Moreover, the TGFß system is affected by prenatal exposure to ethanol (Miller, 2003
). Exogenous TGFß1 presumably interacts with the endogenous system. Furthermore, if migrating cells in the cerebral wall respond to exogenous TGFß1 with a change in the rate of migration and CAP expression, it is probable that endogenous TGFß1 has a similar function in vivo.
There are striking similarities between the phenotypes of the TGFß knockouts and animals and humans exposed to ethanol in utero. Cardiac and skeletal dysgenesis as well as craniofacial abnormalities are hallmark phenotypes in the TGFß knockout mice (Proetzel et al., 1995; Sanford et al., 1997
). These defects echo malformations described in animals prenatally exposed to ethanol (Sulik et al., 1981
; Sulik, 1984
; Daft et al., 1986
; Edwards and Dow-Edwards, 1991
; Kotch et al., 1992
; Astley et al., 1999
) and children with FAS and ARND (Jones and Smith, 1973
; Jones et al., 1973
; Jones et al., 1974
; Abel, 1981
). Hence, the endogenous TGFß system appears to be a specific target of ethanol.
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Address correspondence to Michael W. Miller, Department of Neuroscience and Physiology, SUNY Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA. Email: millermw{at}upstate.edu.
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