Abstract
Prenatal exposure to arsenic, a naturally occurring toxic element, causes neural tube defects (NTDs) and, in animal models, orofacial anomalies. Since aberrant development or migration of cranial neural crest cells (CNCCs) can also cause similar anomalies within developing embryos, we examined the effects of in utero exposure to sodium arsenate on gene expression patterns in pure populations of CNCCs, isolated by fluorescence activated cell sorting (FACS), from Cre/LoxP reporter mice. Changes in gene expression were analyzed using Affymetrix GeneChip® microarrays and expression of selected genes was verified by TaqMan quantitative real-time PCR. We report, for the first time, arsenate-induced alterations in the expression of a number of novel candidate genes and canonical cascades that may contribute to the pathogenesis of orofacial defects. Ingenuity Pathway and NIH-DAVID analyses revealed cellular response pathways, biological themes, and potential upstream regulators, that may underlie altered fetal programming of arsenate exposed CNCCs.
Keywords: Arsenate, Craniofacial development, Embryo, Gene expression profiling, Microarray, Neural crest cells
1. INTRODUCTION
The naturally occurring heavy metal arsenic is a ubiquitous environmental contaminant with demonstrated adult toxicity in humans and teratogenicity in both laboratory animals and humans [1–6]. The predominant developmental effects of in utero arsenic exposure in laboratory animals are neural tube defects (NTDs), craniofacial malformations including exencephaly, renal agenesis and minor skeletal anomalies [1, 2, 7–9]. Within the past decade, particular interest has been focused on the potential teratogenicity of arsenic in humans. Epidemiological studies have suggested associations between clusters of adverse pregnancy outcomes and occupational/environmental arsenic exposures [10–12]. Arsenic ingestion, through drinking contaminated water during pregnancy, was reported to increase the incidence of spontaneous abortion, still births and reduced birth weight [10, 13]. Maternal arsenic exposure was also reported to result in chromosomal aberrations in fetal cells [14–16], and developmental anomalies in offspring [4–6, 17–20].
Mouse models, susceptible to arsenic-induced congenital malformations, represent useful paradigms to examine mechanistic linkages between exposure and abnormal development. Indeed, an earlier study from our laboratory documented an array of developmental anomalies including NTDs and orofacial malformations in murine embryos/fetuses exposed in utero to pentavalent arsenate [21].
Cranial neural crest cells (CNCCs) represent a population of pluripotent embryonic cells that play a critical role in craniofacial ontogeny [22, 23], and whose migration from the cranial neural folds has been suggested to be a prerequisite for proper folding/elevation of the neural folds [23, 24]. We have thus employed a mouse model where neural crest cells (NCCs), and their derivatives, are indelibly (genetically) marked with enhanced green fluorescent protein (EGFP) [22, 25] in order to investigate the impact of maternal sodium arsenate exposure on post-migratory murine CNCCs. Findings from the current study facilitated identification of novel putative cellular and molecular targets of arsenic’s teratogenicity, as well as understanding of the effects of prenatal arsenate exposure on cranial neural crest (NC) proliferation, survival and migration.
2. MATERIALS AND METHODS
2.1. Generation of a two-component (Wnt1-Cre/Z/EG) murine animal model and animal dosing:
Generation of Wnt1-Cre/Z/EG transgenic mice, animal husbandry and developmental staging of embryos were conducted as described previously [22]. In brief, the Wnt1 proto-oncogene encodes an intercellular signaling molecule that is initially expressed throughout the presumptive midbrain during development of the central nervous system [26]. NCCs are derived from such Wnt1-expressing precursor cells. Expression of Cre recombinase from the Wnt1-Cre transgene mirrors that of Wnt1 [27]. Crossing the Wnt1-Cre recombinase transgenic mouse line with the Z/EG transgenic mouse reporter strain [28], in which enhanced green fluorescent protein (EGFP) is expressed by a cell only in the presence of Cre recombinase, results in offspring in which the Wnt1-Cre transgene activates EGFP expression in the NCC of the developing embryo.
Wnt1-Cre mice were generously provided by Dr. Andrew McMahon (Harvard University, Cambridge, MA) and Z/EG mice (Tg [ACTB-Bgeo/GFP] 21Lbe) were obtained from Jackson Laboratory (Bar Harbor, ME). All studies were reviewed and approved, before their conduct, by the University of Louisville Institutional Animal Care and Use Committee (IACUC). Pregnant Wnt1-Cre/Z/EG dams were dosed in utero via intraperitoneal injection with 20 mg/kg pentavalent sodium arsenate (Na3AsO4) on gestation day (GD) 7.5 and 8.5. In murine development, this represents a temporal window when the neural tube is going through a cascade of developmental stages/processes that lead to its closure on GD 9.5 – 10.0. Control dams were dosed similarly with saline. Dams were euthanized on GD 9.5 by carbon dioxide asphyxiation/cervical dislocation, and embryos isolated by cesarean section and immediately placed in ice-cold phosphate-buffered saline (PBS). Genotyping of Wnt1-Cre/Z/EG transgenic embryos was performed as reported earlier [22].
2.2. Visualization of EGFP-labeled CNCCs:
EGFP-labeled CNCCs were visualized in intact embryos and photographed as described previously [22].
2.3. Fluorescence-activated cell sorting (FACS):
Gestation day 9.5 embryos were dissected in ice-cold calcium-magnesium-free PBS (CMF-PBS) (0.2 g KCl, 0.2 g KH2PO4, 8.0 g NaCl, 2.16 g Na2HPO4,7H2O, pH 7.2 per liter) and heads removed above the second branchial arch. Following removal of the midbrain and hindbrain, the remaining tissue, comprising the frontonasal region and the first branchial arch (Figure 1), was incubated with 1.5 mL (0.5%) trypsin at 37°C for 10 minutes followed by centrifugation and resuspension in tissue culture medium with 5% fetal bovine serum (FBS). Cell sorting was performed using a Mo-Flo DakoCytomation (Fort Collins, CO) as described [25]. Each sample consisted of pooled cells from multiple embryos from the same dam and independent cell samples were generated from pooled embryos from three independent dams.
Fig. 1.
EGFP-labeled neural crest cells in Wnt1-Cre/Z/EG transgenic mouse embryos. Photomicrograph of a GD-9.5, two-component Wnt1-Cre/Z/EG transgenic embryo, under darkfield (left) and epifluorescence (right) optics. The region, demarcated by the yellow line, was excised from the sodium arsenate- and saline-exposed embryos for fluorescence-activated cell sorting (FACS). FN: frontonasal region; MB: midbrain; HB: hindbrain.
2.4. Total RNA isolation and production of antisense RNA:
Cells (approximately 7500) isolated by FACS were collected and processed using the PicoPure RNA isolation kit (Arcturus, Mountain View, CA) according to the manufacturer’s protocol. Briefly, 11 μL extraction buffer was placed into a microcentrifuge tube containing the sorted cells and incubated for 30 minutes at 42°C. After incubation, the cell lysate was loaded onto a spin column, washed, and total cellular RNA was eluted in 10 μL elution buffer. The eluant (total RNA) was used as template to produce antisense RNA (aRNA) using the RiboAmp HS kit (Arcturus) following manufacturer’s instructions. Approximately 400 ng of Poly(dI) carrier was added to each total RNA sample before amplification. RNA amplification, in vitro transcription of the double-stranded cDNA, as well as generation and fragmentation of biotin-labeled cRNA, were performed as described earlier [22]. Twenty micrograms of fragmented, biotin-labeled cRNAs corresponding to either sodium arsenate- or saline (vehicle)-exposed EGFP-labeled, FACS-isolated CNCCs were hybridized to individual GeneChips from an identical lot of Murine Genome 430A GeneChip® arrays (Affymetrix) for 16 hr. GeneChip® arrays were washed and stained using antibody-mediated signal amplification according to the Affymetrix Fluidics Station’s standard Eukaryotic GE Wash 2/ protocol. Three independent biological samples were prepared for each sample type, and each of the three biological replicates was hybridized to a single GeneChip®.
2.5. Reduction, statistical analysis, and biological interpretation of microarray data:
Scanning of GeneChip® arrays, subsequent image processing using Affymetrix GCOS v1.2 software, Robust Multi-chip Average, with GC-content background correction (GC-RMA) pre-processing, and ‘per gene normalization’ with GeneSpring v7.2 (Silicon Genetics, Inc., Redwood City, CA) were performed as described earlier [29]. One-way ANOVA (parametric test, assuming equal variances) was employed using the “Benjamini and Hochberg false discovery rate” as the multiple testing correction (p = 0.05; probes with p values of less than 0.05 were considered to be expressed significantly above background) to define a set of statistically significant, differentially expressed genes. One-way ANOVA was applied to define genes that are significantly altered in arsenate-treated CNCCs vs. saline (control)-treated CNCCs. This restriction tested each of the approximately 45,000 transcripts (corresponding to about 34,000 genes and ESTs) on the microarray and generated a list of genes with statistically significant expression values. Finally, a “filter” on the fold change (probes with fold differences >1.5 were considered significant) was applied to the list of aforementioned genes, and lists of genes were generated based on the treatment conditions (e.g. saline-treated sample #1 vs. arsenate-treated sample #1, or saline-treated sample #2 vs. arsenate-treated sample #2 and so on). The gene lists include those genes/ESTs whose expression was either > 1.5-fold up- or down-regulated in a statistically significant manner (p < 0.05) as a function of the treatment condition. GeneSpring GX software (version 11.0, Agilent Technologies, Palo Alto, CA), was used for hierarchical clustering analysis to create a condition tree representing all of the differentially expressed genes based on their expression profiles. NIH-DAVID software (DAVID v 6.7; http://david.abcc.ncifcrf.gov; [30]) was employed for functional annotations of affected genes, as well as to discern various biological/canonical pathways impacted in murine CNCCs by prenatal arsenate exposure. This was accomplished by converting the probe IDs of all the differentially expressed gene transcripts and ESTs to unique DAVID IDs and matching those to the KEGG (Kyoto Encyclopedia of Genes and Genomes; http://www.genome.jp/kegg/pathway.html), Biocarta (https://cgap.nci.nih.gov/Pathways/BioCarta_Pathways) and Panther pathway databases (http://www.pantherdb.org/pathway/).
In addition, computational gene interaction predictions were made utilizing Ingenuity Pathway Analysis (Ingenuity Systems, Redwood City, CA) to establish an overview of diverse cellular processes and biological pathways within CNCCs impacted by in utero arsenate exposure. Several hundred differentially expressed genes detected from the microarray analysis, were used to execute core analysis and to construct interactive gene association maps for predicting the teratogenic effects of arsenate on a range of cellular and molecular events within post-migratory CNCCs.
2.6. TaqMan™ quantitative real-time PCR:
cDNA synthesis from amplified RNA (aRNA), quantitative real-time PCR (qRTPCR) (TaqMan®) analysis and processing of raw data, were performed as previously reported [29]. Briefly, the expression of a selected panel of 20 genes was assessed by qRTPCR. The data was reduced by the ΔΔCt method [31] using Gapdh as an internal control. The data are expressed as fold change in arsenate-treated cells, relative to that in saline-treated control samples. The data are reported as average fold-change of 3 independent experiments ± S.E.M. p values were determined by one-way ANOVA. Predesigned forward and reverse primers and their corresponding fluorescent probes for each of the genes that were examined were purchased from Thermo Fisher/Life Technologies (Carlsbad, CA, USA). The assay ID numbers of these TaqMan probe-primers are listed in Supplementary Table 1.
3. RESULTS
3.1. Phenotypes generated by in utero arsenate exposure:
In utero treatment of pregnant dams with 20 mg/kg pentavalent sodium arsenate (Na3AsO4) on GD-7.5 and −8.5 resulted in 25% of the embryos/fetuses demonstrating neural tube and orofacial defects, including exencephaly (GD-10.5), facial clefts (GD-10.5), and midfacial hypoplasia (GD-17.5) when compared to the saline-treated controls, as reported earlier [21].
3.2. Characterization of EGFP-labeled cranial neural crest cells:
Generation of a compound transgenic mouse model in which constitutive expression of EGFP was induced in cells with an activated Wnt1 promoter has been previously reported by our laboratory [22]. Under these conditions, EGFP was expressed only in the NCCs. Figure 1 demonstrates the location of post-migratory CNCCs in a GD 9.5 embryo. Fluorescence labeling of CNCCs permitted the FACS-based isolation of sufficient numbers of such cells for adequate RNA extraction and amplification for hybridization to Affymetrix GeneChip® microarrays.
3.3. Differential gene expression between maternal arsenate- and saline (control)-exposed cranial neural crest cells:
Genes and ESTs differentially expressed between in utero arsenate-and saline exposed CNCCs are listed in Supplementary Table 2. Only those genes exhibiting a change in expression equal to or greater than 1.5 fold are listed. In utero exposure to 20 mg/kg pentavalent sodium arsenate resulted in 303 genes exhibiting at least a 1.5 fold increase in expression in CNCCs, and 275 genes exhibited at least a 1.5 fold decrease in expression, compared to their relative level of expression in saline treated control tissue. GeneSpring GX software (version 11.0) was used to generate a clustered image map (heat map) comprising all 578 differentially expressed genes demonstrating consistent differences between the two treatments (Figure 2A). An additional clustered image map of the top thirty genes displaying greatest differential expression between prenatal saline- and arsenate-exposed CNCCs is presented in Figure 2B. Differentially regulated genes and ESTs were also clustered into various functional categories (Supplementary Table 3) following Gene Ontology analysis with the GeneSpring GX (V. 11.0) and the Ingenuity Pathway Analysis (IPA) programs. Heat maps of these clusters are shown in Supplementary Figure 1 A–J. Examples of affected functional categories include: apoptosis, stress response (including oxidative stress), ribosomal functions, DNA damage response/repair, mitochondria/electron transport chain (ETC)/oxidative phosphorylation, cell migration, cell adhesion, growth and differentiation, signaling mediators as well as proliferation and cell cycle (Supplementary Table 3). Results indicate that an array of genes encoding proteins involved in these functional categories were upregulated in CNCCs following maternal arsenate exposure, when compared to their saline-exposed counterparts (Supplementary Table 3A,B,D–J). In contrast, most of the genes encoding ribosomal proteins were downregulated in CNCCs as a result of prenatal arsenate-exposure (Supplementary Table 3C).
Fig. 2.
Clustered image maps (heat maps) illustrating all genes (A) and the top thirty genes (B) differentially expressed between prenatal saline- and arsenate-exposed cranial neural crest cells (CNCCs). Each row of the clustered image map represents a gene, and each column represents one array for treatment type examined [saline (S) or arsenate (A)]. The color saturation represents the level of gene expression. The three columns marked ‘S’ represent clusters of genes from the three independent sets of CNCCs prenatally-exposed to saline (control), that exhibit increased (red) and decreased (blue) expression. The three columns marked ‘A’ represent clusters of the same genes from the three independent sets of CNCCs prenatally-exposed to arsenate. Clustered are those genes that were either up regulated (red) or down regulated (blue) in arsenate-exposed CNCCs when compared to their relative expression in saline exposed CNCCs. GeneSpring GX software (v 11.0, Agilent Technologies) was used for hierarchical clustering analysis to create a condition tree representing all of the differentially expressed genes based on their expression profiles. Genes demonstrating a 1.5-fold or greater difference (p <0.05) in expression are included in the map.
3.4. Bioinformatic analysis of biological functions of genes differentially expressed within cranial neural crest cells exposed in utero to arsenate or saline (control):
Ingenuity Pathway Analysis (IPA) was utilized to examine the biological functions of differentially expressed genes in CNCCs. IPA uses a Fisher exact test (EASE score) to rank biological themes. Cell death and survival, cell cycle, cellular movement, and cellular growth and proliferation, were some of the key developmental processes that emerged as statistically significant, and potential teratogenic targets of in utero arsenate exposure within CNCCs (Supplementary Figure 2). Differentially expressed genes representing each of these biological processes, that were significantly altered, are listed in Supplementary Table 4. In in utero arsenate-exposed CNCCs: (1) 25 genes associated with varied cell signaling processes were significantly downregulated and of these, 14 genes belong to the protein kinase cascade (Supplementary Table 5-’Cell signaling’); (2) 6 genes involved in small GTPase mediated signal transduction (Supplementary Table 5 -’Small GTPase-mediated signaling’), and three involved in sequestration/release of Ca2+ displayed significantly decreased expression (Supplementary Table 5- ‘Cell signaling’); (3) 14 genes whose altered expression had been documented to be linked to neonatal and/or perinatal survival/death, were all significantly repressed (Supplementary Table 5 - “Neonatal Survival-Death” & “Perinatal Survival-Death”).
3.5. Identification of relevant biological networks and canonical pathways involving genes differentially expressed within cranial neural crest cells following maternal arsenate exposure:
Investigation of functional relationships between arsenate-induced differentially expressed genes using IPA program, revealed various cellular response pathways, and biological themes, underlying altered fetal programming of CNCCs. Five major interactive networks involving the differentially expressed genes were discovered. It is important to note that up- and down-regulated (i.e. differentially expressed) genes present in these networks are represented in shades of red and green, respectively, and the extent of up- or down-regulation of these differentially expressed genes is proportional to the intensity of the red or green color. One such network comprising 20 differentially expressed genes underscored cell death/apoptosis as a key biological event affected within CNCCs following in utero arsenate exposure (Supplementary Figure 3). Three other networks containing 39, 20 and 26 differentially expressed genes highlighting crucial physiological processes such as cell migration and adhesion (Supplementary Figure 4), cell proliferation and differentiation (Supplementary Figure 5), and embryogenesis (Supplementary Figure 6), respectively, were also found to be potentially affected within CNCCs as a result of maternal arsenate exposure. Yet another network associating 50 differentially expressed genes with various signaling pathways that are likely to be impacted within CNCCs by prenatal arsenate exposure, is presented in (Supplementary Figure 7).
IPA also identified a number of critical canonical pathways operative within post-migratory CNCCs which were likely to be adversely impacted by arsenate exposure (Supplementary Table 6). Several of these signaling cascades have significant enrichment p-values, indicating that it is highly implausible that these pathways were detected by chance. Examples of some of the high scoring (p-value ≤0.05) canonical pathways are: pyridoxal 5’-phosphate salvage pathway, NADH repair, myo-inositol biosynthesis & degradation, IL8 signaling, mitochondrial dysfunction, calcium transport, Cdc42 signaling, mTOR signaling, and Cxcr4 signaling. In addition, maternal arsenate exposure was likely to have potential unfavorable influences on the following canonical cascades in CNCCs - as anywhere from 4 to 9 genes (some being common to several of these pathways) encoding proteins associated with these pathways were significantly up- and/or down-regulated (Supplementary Table 7): Integrin signaling (9 genes up); RhoGDI signaling (8 genes up); Regulation of actin-based motility by Rho (5 genes up); Rho family of GTPases (9 genes up); Cxcr4 signaling (7 genes up); Paxillin signaling (5 genes up- and 1 gene down); Remodeling of epithelial adherens junctions (4 genes up); Protein ubiquitination pathway (10 genes up); PAK signaling (4 genes up); Ephrin receptor signaling (6 genes up); Calcium signaling (5 genes up); mTOR signaling (4 and 5 genes up and down, respectively); EIF2 signaling (5 genes down); and Wnt-ß-catenin signaling (5 genes down).
Bioinformatic analyses with the IPA program also revealed, several “upstream regulators” (based on the differential expression of their respective downstream target genes in arsenate-exposed CNCCs), that are predicted to be activated (e.g. miR-124–3p, miR-16–5p and Retinoic acid) or silenced (e.g. miR-1/miR-206 family of miRNAs) in CNCCs following prenatal arsenate exposure. Downstream gene targets of these regulators are presented in Supplementary Tables 8a–d.
To further verify our bioinformatic analyses, NIH-DAVID database (DAVID v 6.7; http://david.abcc.ncifcrf.gov) was utilized to identify various biological and metabolic pathways over-represented in genes that are either up- or downregulated in post-migratory CNCCs following in utero arsenate exposure (Table 1). This list was obtained by matching the list of differentially expressed genes against the reference pathways in the KEGG, Biocarta and Panther pathway databases within the DAVID v 6.7 program. It is evident from Table 1 that for the upregulated genes, the highest ranking pathways are related to cell adhesion, DNA replication, chemokine signaling, etc., in contrast to the downregulated genes, where the top-ranking pathways are represented by various signal transduction pathways.
Table 1:
Pathways1 Altered in Cranial Neural Crest Cells following In Utero Exposure to Sodium Arsenate.
| Upregulated Genes | |||
|---|---|---|---|
| Category | Term | P-Value2 | Number of genes3 |
| KEGG | Cell adhesion molecules (CAMs) | 1.27E-02 | 23 |
| DNA replication | 1.91E-02 | 14 | |
| Pyrimidine metabolism | 2.01E-02 | 6 | |
| Chemokine signaling pathway | 2.90E-02 | 10 | |
| Focal adhesion | 4.28E-02 | 4 | |
| Ubiquitin mediated proteolysis | 4.76E-02 | 7 | |
| PANTHER | Inflammation mediated by chemokine and cytokine signaling pathway | 1.84E-02 | 10 |
| Parkinson disease | 3.84E-02 | 9 | |
| Axon guidance mediated by semaphorins | 4.72E-02 | 3 | |
| Dopamine receptor mediated signaling pathway | 4.76E-02 | 4 | |
| Metabotropic glutamate receptor group II pathway | 4.89E-02 | 4 | |
| Muscarinic acetylcholine receptor 2 and 4 signaling pathway | 4.92E-02 | 4 | |
| Downregulated Genes | |||
| Category | Term | P-Value | |
| KEGG | Oxidative phosphorylation | 1.44E-02 | 11 |
| Ribosome | 1.69E-02 | 9 | |
| Alzheimer’s disease | 5.14E-02 | 4 | |
| BIOCARTA | MAPKinase Signaling Pathway | 1.54E-02 | 10 |
| PANTHER | Ras Pathway | 3.33E-02 | 6 |
| PDGF signaling pathway | 3.64E-02 | 7 | |
| JAK/STAT signaling pathway | 3.72E-02 | 3 | |
| EGF receptor signaling pathway | 4.51E-02 | 6 | |
| VEGF signaling pathway | 5.00E-02 | 5 | |
Highest ranking pathways impacted by in utero arsenate exposure in the cranial neural crest cells were delineated by utilizing the NIH-DAVID program and by matching the statistically significant up- and downregulated (1.5-fold or more; p<0.05) gene transcripts to the KEGG (Kyoto Encyclopedia of Genes and Genomes), Biocarta and Panther pathway databases.
P- value indicates that the overrepresentation of a particular pathway is a statistically significant event and that the probability of that pathway appearing on the list is not a random event.
Number of genes within each pathway.
3.6. TaqMan™ quantitative real-time PCR verification of microarray results:
Expression of the NC marker Crabp1 (cellular retinoic acid binding protein 1) and a negative control gene, En1 (Engrailed 1), not known to be expressed by CNCCs, were used to validate (by TaqMan™ qRT-PCR) the purity of the purified cell populations and the specificity of the FACS procedure. While Crabp1 was expressed specifically in the FACS-captured cells, En1 was not (results not shown). An earlier study from our lab demonstrated that Crabp1 expression is strictly restricted to the CNCCs [25]. Twenty genes (ten upregulated and ten down-regulated) were randomly selected from our gene list and their expression patterns determined by qRT-PCR using diluted cRNA as template. The overall expression profiles of 19 out of the 20 mRNAs tested were found to be in agreement with the results of GeneChip® microarray (Table 2).
Table 2.
TaqMan™ Quantitative Real-Time PCR1 Verification of Differentially Expressed Genes in Cranial Neural Crest Cells (CNCCs) Exposed in utero to Sodium Arsenate or Saline (vehicle control).
| Gene2 | Entrez Gene | Affymetrix Probe ID | Mean Fold Change ± SEM Arsenate vs. Saline (Microarray Data) | Mean Fold Change3,4,5 ± SEM Arsenate vs. Saline (Individual TaqMan Assay) | Concordance6 |
|---|---|---|---|---|---|
| Upregulated Genes | |||||
| Arl6ip1 | 54208 | 1451131_at | 3.34 ± 0.11 | 15.30 ± 1.25 | +/+ |
| Asna1 | 56495 | 1418292_at | 12.00 ± 1.09 | 20.25 ± 1.23 | +/+ |
| Cdh1 | 12550 | 1448261_at | 12.50 ± 1.30 | 19.83 ± 1.02 | +/+ |
| Cdk9 | 107951 | 1417269_at | 1.90 ± 0.07 | 8.31 ± 0.53 | +/+ |
| Foxp1 | 108655 | 1455242 at | 3.59 ± 0.15 | 2.71 ± 0.92 | +/+ |
| Hmox2 | 15369 | 1416399_a_at | 2.00 ± 0.06 | 3.87 ± 0.19 | +/+ |
| Id2 | 15902 | 1453596 at | 3.09 ± 0.14 | 4.92 ± 0.72 | +/+ |
| Irf6 | 54139 | 1418301_at | 14.93 ± 1.48 | 16.37 ± 1.08 | +/+ |
| Mef2a | 17258 | 1452347_at | 3.66 ± 0.17 | 11.87 ± 1.26 | +/+ |
| Nr2f2 | 11819 | 1416159 at | 2.40 ± 0.11 | 4.11 ± 1.00 | +/+ |
| Downregulated Genes | |||||
| Apc2 | 23805 | 1435199_at | −2.47 ± 0.12 | −3.26 ± 0.69 | +/+ |
| Bcl2 | 12043 | 1440770_at | −9.80 ± 0.67 | −8.53 ± 1.22 | +/+ |
| Cdgap (Arhgap31) | 12549 | 1455164_at | −4.24 ± 0.10 | −3.45 ± 0.68 | +/+ |
| Foxc1 | 17300 | 1419486_at | −3.62 ± 0.16 | −13.36 ± 1.29 | +/+ |
| Gja1 | 14609 | 1438945_x_at | −1.65 ± 0.04 | −2.47 ± 0.33 | +/+ |
| Meis2 | 17536 | 1440091_at | −6.23 ± 0.39 | −7.03 ± 0.96 | +/+ |
| Nischarin | 64652 | 1430151_at | −3.77 ± 0.25 | −1.08 ± 0.03 | +/− |
| Pias1 | 56469 | 1446448_at | −5.17 ± 0.45 | −4.72 ± 0.97 | +/+ |
| Rgmb | 68799 | 1442811_at | −4.34 ± 0.15 | −2.60 ± 0.60 | +/+ |
| Stat3 | 20848 | 1459961_a_at | −3.50 ± 0.23 | −2.30 ± 0.33 | +/+ |
The differential expression of twenty genes in cranial neural crest cells following in utero exposure to saline (vehicle control)- and sodium arsenate, was compared using Affymetrix GeneChip® arrays and TaqMan™ quantitative real-time PCR as detailed in Experimental Procedures.
Target genes were selected randomly.
cDNA samples were prepared from saline (vehicle control)-, and sodium arsenate-exposed CNCCs and subjected to TaqMan® quantitative real-time PCR (qRTPCR) for each target gene. Analyses were performed in triplicate using data from three independent experiments.
Ct values represent the number of cycles during the exponential phase of amplification necessary to reach a predetermined threshold level of PCR product as measured by fluorescence. The more template present at the start of a reaction, the fewer the cycles required to synthesize enough fluorescent product to be recorded as statistically above background. All data were normalized to the amplification signal from the housekeeping gene, Gapdh. The ΔCt values represent these normalized signals, ΔCt = Ct sample − Ct Gapdh. Data presented represent mean ΔCt ± standard deviation over three replicates.
Negative methodological control reactions, which lacked reverse transcriptase, did not amplify any detectable product.
Fold-change (FC) values were determined according to the relationship: FC = 2−ΔΔCt, where ΔΔCt is the difference in ΔCt values between arsenate-exposed CNCC samples vs. vehicle (saline)-exposed CNCC samples [31]. Statistical analysis comparing the two exposures (vehicle and arsenate) was done with one-way ANOVA of the ΔCt values and adjustment for multiple comparisons using Dunnett’s method. 95% confidence intervals for the FC were calculated by taking the appropriate transformation of the 95% confidence limits for the estimated difference in ΔCt values. A negative fold-change value indicates down regulation of gene expression relative to control samples and a positive fold-change value indicates up regulation. Only those genes that demonstrated a statistically significant (adjusted p<0.05) increase or decrease in expression for the arsenate vs. vehicle (saline) expression comparison, were included in this table.
Full concordance in the pattern or level of gene expression obtained using the Affymetrix GeneChip® arrays and the TaqMan™ qRT-PCR is represented as “+/+”.
4. DISCUSSION
Heavy metals, such as arsenic, can bind to structural proteins, enzymes, and nucleic acids, and interfere with their functioning. Since normal embryogenesis is reliant on precise and finely orchestrated morphological and molecular events, it is reasonable to posit that exposure to arsenic can adversely effect embryonic development. Arsenic may be particularly toxic to the growing fetus [32], in part because it can cross the placenta and accumulate in the fetus [33, 34]. Indeed, arsenic is a known teratogen causing adverse developmental outcomes [1, 35, 36]. Specifically, previous studies have documented an increased incidence of craniofacial defects in mice prenatally exposed to pentavalent sodium arsenate [1, 21, 37–39]. A very recent study documented positive associations between maternal arsenic exposure and cleft lip and cleft palate formation in humans [40].
The embryonic first and second branchial arches represent tissue primordia that develop into elements of the orofacial region, pharynx, and the outer and middle ear [41]. The mesenchyme of the branchial arches is composed of paraxial mesodermal cells and post-migratory NCCs. By GD 9.5 the first murine branchial arch displays a distinctive swelling caused, in part, by the migration of CNCCs into it, and proliferative activity of these post-migratory NCCs (Fig. 1). Temporospatial orchestration of NCC migration, differentiation, proliferation, and apoptosis is indispensable for normal development of craniofacial structures [41, 42]. Thus, one of the mechanisms of arsenic’s teratogenicity could be its impact on various cellular functions of CNCCs. While several studies have demonstrated changes in gene expression in diverse cell and tissue types following exposure to trivalent or pentavalent arsenic in humans and laboratory animals [7, 8, 12, 43–45], no study has to date examined such potential alterations in a pure population of NCCs exposed to arsenicals.
The present study has, for the first time, identified genes within embryonic CNCCs whose expression are significantly altered as a result of in utero exposure of dams (at GD-7.5 and −8.5) to 20 mg/kg sodium arsenate. For assessing the effects of arsenate in mice, i.p. injections ranging from 30–40 mg/kg body wt have been typically used [1,38]. These doses are in excess of any human exposures but take into account that lethal doses for experimental animals are typically higher than those estimated for humans [42]. Studies at 40 mg/kg body wt. take advantage of the high penetrance of NTDs (100%) without incurring high lethality [7,8]. For the present study, an i.p.dosage of 20 mg/kg body wt. was chosen because at this dosage, a higher frequency of liveborns and lower resorption rates are observed while still manifesting the salient features of arsenic toxicity [21,38]. More importantly, this dosage allows the isolation of a sufficient number of viable embryos for harvesting EGFP-labeled CNCCs via FACS.
Apoptosis:
The present study revealed significant differential expression of a panoply of genes involved in cell survival and/or apoptosis within CNCCs as a consequence of maternal arsenate exposure. One example, Trp63 (transformation related protein 63), represents a gene involved in cell cycle regulation and which is also essential for developmental neuronal death by acting as an obligate pro-apoptotic partner for p53 [46]. This gene is significantly upregulated (>8.0-fold; Supplementary Table 3A) in response to arsenate exposure. Studies have also documented that p63 promotes survival of embryonic neural precursor cells and neurons, antagonizing p53 [47, 48]. Our observation is consistent with those of Pallocca et al. [12] who found that the p53 signaling pathway is among the most affected pathways in NCCs exposed to arsenate (As2O3). In addition to upregulation of Trp63, other pro-apoptotic genes, such as Irf6, Tex261, Mtch1, Col18a1 and Ambra1 (Supplementary Table 3A), were also upregulated. Simultaneously, several anti-apoptotic genes (Bcl-2, Mcl1, Bmf and Thoc1) were seen to be downregulated (Supplementary Table 3A). These observations support the conclusion that prenatal arsenate exposure enhances cellular death within CNCCs, primarily via apoptosis, and reinforces similar findings in embryonic maxillary mesenchymal cells exposed in vitro to sodium arsenate [21]. Lastly, two genes, Csrnp1 and Gja1 (also known as Cx43), involved in regulation of apoptosis, [49, 50], were significantly downregulated in arsenate-exposed CNCCs (Supplementary Table 3A). Mice with a mutated Cx43 gene display oculodentodigital dysplasia (ODDD), as observed in humans, including diverse craniofacial anomalies [49], whereas, mice harboring a mutated Csrnp1 have palatal and facial dysmorphologies [50]. These findings signify that several of the aforementioned arsenate target genes are not only important for regulation of apoptosis but are also key to normal orofacial ontogenesis. Arsenate targeting of genes involved in regulating apoptosis and/or pathways governing those genes is further supported by our gene association map (Supplementary Fig. 3) which highlights apoptosis/cell death within in utero arsenate-exposed CNCCs. Moreover, bioinformatic analysis with the IPA program revealed that cell death was the most statistically significant biological function impacted by maternal arsenate exposure in CNCCs, and that an array of genes (14) reported to be associated with both neo- and perinatal survival was significantly repressed in CNCCs exposed prenatally to arsenate (Supplementary Table 5 - “Neonatal Survival-Death” & “Perinatal Survival-Death”).
Stress response:
Prenatal arsenate exposure significantly altered the expression of a number of genes related to stress response in post-migratory CNCCs (Supplementary Table 3B). Interestingly, most of the genes (14 out of 18) in this category were significantly upregulated, indicating that arsenate exposure confers considerable stress upon the developing embryo. It is interesting to note that defense mechanisms may be operative to possibly counter the stress response. Support for this speculation comes from the finding that Asna1, encoding an arsenic-translocating ATPase and the catalytic component of an oxyanion pump responsible for resistance to arsenicals [51], and Alas 2 (Aminolevulinic acid synthase 2), known to be stimulated by hypoxia [52], are both significantly upregulated in arsenate-exposed CNCCs. Increased expression of heme oxygenase 1 (Hmox1), a hallmark for arsenic-induced stress, and several heat shock proteins (e.g., Hsp-60, −70 and −90) has been reported to be significantly elevated in mouse liver treated with inorganic arsenicals [53, 54]. This is in agreement with our results which demonstrated that arsenate exposure increased expression of Hmox2, a stress-induced heme oxygenase isoform, as well as genes encoding a number of stress-activated Hsp70-related proteins. Significant upregulation (~4-fold) of Stub1, a stress-activated, Hsp70-binding ubiquitin ligase, by arsenate in CNCCs raises the compelling possibility of inhibition of BMP and TGFß signaling (through ubiquitin-dependent degradation of Smad proteins) – two canonical pathways indispensable for normal craniofacial development [55]. Such inhibition of TGFß superfamily signaling by arsenate could account for various arsenic-induced dysmorphologies observed in CNCC-derived craniofacial structures [21]. In addition, a gene encoding Map4k4 a mitogen-activated protein kinase (mapk) expressed in response to stress, was significantly upregulated in CNCCs following prenatal arsenate exposure. Map4k4 functions as an upstream activator of various stress-activated kinases/mapks (such as, JNK 1 and 2, ERK1/2, and p38 SAP kinase) [56]. Finally, arsenate differentially altered expression of genes encoding members of three stress-activated pathways - Nrf2-mediated oxidative stress response, endoplasmic reticulum (ER) stress pathway, and acute phase response signaling, in CNCCs (Supplementary Table 6). The Nrf2 pathway, responsible for transactivation of detoxifying and antioxidant enzymes in response to oxidative stress, is modulated in various human cell types exposed to arsenic [57]. Arsenic-induced alteration of the ER stress pathway - involved in degrading accumulated misfolded proteins (following harmful cellular insults) - has also been reported [58].
Reactive oxygen species (ROS):
Arsenic is known to generate, in a dose-dependent manner [59, 60], various reactive oxygen species (ROS), including hydrogen peroxide (H2O2), superoxide-derived hydroxyl ion (*OH), and peroxyl (ROO*) radicals [61–63]. Our demonstration of massive upregulation (64-fold; Supplementary Table 2) of the gene encoding hemoglobin alpha 1 (Hba-a1), a member of the fetal hemoglobin family, and a well-known free radical scavenger, lends credence to potential augmentation of ROS production in arsenate-exposed CNCCs [64]. Results from the present study also demonstrate robust upregulation of Igfbp2 (Insulin-like growth factor binding protein 2; ~8.4-fold; Supplementary Table 2), whose overexpression has been reported to increase ROS production [65]. We further document significant upregulation of genes encoding Mpo (myeloperoxidase) and Prdx6 (peroxiredoxin 6) (Supplementary Table 3B), induced in response to oxidative stress and ROS, respectively [66]. Collectively, these data document adverse effects of arsenate on the antioxidant defenses of CNCCs, potentially leading to deleterious outcomes within developing orofacial tissues.
Ribosomes:
In the present study, almost all ribosomal components and ribosome-binding proteins were significantly downregulated in NCCs as a result of maternal arsenate exposure (Supplementary Table 3C). Examples of such genes include those encoding ribosomal proteins (Rpl23, Rpl37a, Rps11, Rps13, and Rps21) and components of mitochondrial ribosomes (Mrpl27 and Mrpl42). These results are in excellent corroboration with the findings of earlier studies demonstrating repression of several genes involved in RNA processing and protein synthesis, and deregulation of the ribosomal pathway, following arsenate exposure [54, 67]. Bioinformatic (NIH-DAVID) analysis also highlighted “ribosome” as one of the top ranking terms enriched within the genes downregulated in arsenate-exposed CNCCs (Table 1). In addition, Dnajc1, a ribosome-binding protein involved in coordination of ribosomes, regulation of protein translation and protein folding, was significantly repressed by arsenate in CNCCs (Supplementary Table 3C). Finally, IPA revealed significant upregulation of genes encoding 12 members of the Protein Ubiquitination pathway, underlining increased degradation of proteins in arsenate-exposed CNCCs (Supplementary Table 6). These findings underscore the possibility that synthesis of de novo cellular and mitochondrial proteins as well as overall stability of cellular proteins are markedly compromised in CNCCs following prenatal arsenate exposure, conditions detrimental to normal embryonic development.
DNA damage and DNA repair:
In utero exposure to sodium arsenate activated a number of genes associated with DNA damage and DNA repair in CNCCs (Supplementary Table 3D). Examples of such genes include those encoding Sfpq, Fancg, Xab2, Ttc5, Rnf8, and Rpain, among others. Genes encoding two death domain kinases, Ripk1 and Ripk4, essential for the activation of NF-κB following DNA damage [68], were also upregulated. Activation of NF-κB is a key cellular response leading to alteration of cell proliferation and/or apoptosis [68, 69]. This finding raises the possibility of arsenate induction of NF-κB within CNCCs (impacting their proliferation and survival). These results are in agreement with prior studies documenting chromosomal aberrations and DNA damage in arsenic-exposed fetal cells [14–16]. In addition, arsenate exposure significantly repressed the expression of genes encoding DNA polymerase beta (Polb) and Rint1 in CNCCs. Polb catalyzes base excision repair required for DNA maintenance, replication, and recombination [70], whereas, Rint1 participates in DNA repair, cell cycle control and survival, following DNA damage [71]. Altogether, these observations suggest that arsenate-induced DNA damage/chromosomal aberrations in CNCCs affect their proliferation and survival.
Mitochondrial function:
Arsenate is a phosphate analog [72] and can competitively replace phosphate in ATP, thereby uncoupling mitochondrial oxidative phosphorylation [73]. It has been demonstrated that mitochondrial ATP synthase (Complex V) which phosphorylates ADP to ATP can utilize arsenate as a substrate, converting it to arsenite [74]. The uncoupling mechanism is attributed to the highly unstable arsenate–phosphate ester that is rapidly hydrolyzed leading to a deficit in ATP production and conservation [72, 75]. Moreover, perturbation of the mitochondrial ETC increases ROS levels that can also inhibit aerobic respiration, alter membrane potential and reduce ATP levels [76, 77]. Not surprisingly, mitochondrial components, including enzymes involved in ETC/oxidative phosphorylation represent a significantly affected category of genes whose expression is altered in CNCCs in response to maternal arsenate exposure (Supplementary Table 3E). Pathway and Gene ontology analyses with Ingenuity and NIH-DAVID convincingly substantiate this premise further (Table 1 and Supplementary Table 6). Indeed, KEGG analysis reveals that oxidative phosphorylation is the second most downregulated process (Table 1) with many of the affected genes encoding components of the ETC. These include genes encoding subunits of Complex I (NADH: ubiquinone oxidoreductase) - Ndufa5, Ndufa8, Ndufa12, Ndufc1, Ndufv1; Complex III (cytochrome bc1 complex) – Uqcrc1; Complex IV (cytochrome c oxidase) – Cox7c, Cox8c, Cox15; and, complex V (ATP synthase) – ATP5a1. These findings are in broad agreement with a recent study that observed decreases in the activities of various mitochondrial complexes (I, II and IV) in microglial cells exposed to arsenate [76]. Altered expression of these genes support the premise that mitochondria are one of the major targets of arsenate’s toxicity in CNCCs and that key mitochondrial processes (including ETC/oxidative phosphorylation) are adversely impacted. Pathway and Gene ontology analyses with Ingenuity and NIH-DAVID convincingly substantiate this premise (Table 1 and Supplementary Table 6). Altogether, these results underscore the likelihood that prenatal arsenate exposure can trigger altered energy metabolism within CNCCs resulting in damage to the developing embryo. Mitochondrial dysfunction may also augment CNCC apoptosis. This notion is well-supported by studies demonstrating apoptosis of embryonic maxillary mesenchymal cells due to mitochondrial membrane perturbation resulting from arsenate exposure [21] and decreased cell viability, increased apoptosis, oxidative stress damage and mitochondrial dysfunction in neurons exposed to arsenic [78].
Cell migration and cell adhesion:
Cells of the NC lineage possess the potential of long-range migration at various stages of development. In the present study, expression of numerous genes known to be involved in regulating cell migration were differentially altered in post migratory CNCCs following in utero arsenate exposure (Supplementary Table 3F; Supplementary Table 6; Supplementary Figure 4). This allows for the suggestion that not all CNCCs harvested for analysis in the present studies were post-migratory. Maternal arsenate exposure was previously postulated to adversely impact NCC migration [7]. Our data indicate that genes and pathways known to govern cellular migration were affected, and hence the “migratory potential” of the CNCCs were most likely altered, following arsenate exposure. This reinforces prior published evidence that one of the plausible mechanisms of prenatal arsenic exposure-induced craniofacial anomalies could be via modulation of CNCC migration.
Further support for the premise that exposure to arsenate adversely impacts CNCC migration comes from the altered expression of an array of genes involved in governing cellular adhesion in CNCCs — a process critical for cell migration [79] (Supplementary Table 3G). Among these genes, Irf6, involved in palatal adhesion and fusion competence [80] and Cdh1, key to embryonic stem cell migration [81], were both upregulated. Since overexpression of cadherins inhibits emigration of NCCs via increasing cell-cell adhesion [82, 83], our data suggest that arsenate may be altering the migratory capabilities of CNCCs by modulating their adhesive potential. This notion is supported by the interactive gene network which highlights cellular adhesion as a key physiological process targeted by arsenate within CNCCs (Supplementary Figure 4). KEGG pathway analysis also revealed cell adhesion as one of the most significantly affected pathways within arsenate-exposed CNCCs (Table 1). Moreover, IPA revealed a number of pathways directing cellular adhesion and migration (such as, RhoGDI-, Paxillin-, Integrin-, and Epithelial Adherens Junction signaling, among others) that are highly likely to be affected in arsenate-exposed CNCCs, compromising their motility and adhesion (Supplementary Table 6).
Growth factors, signal transducers and cell proliferation:
Toxic/teratogenic effects of arsenic on cell proliferation/cell cycle [8, 84], growth and differentiation [85, 86] and a panoply of signal transduction pathways [63], have been well-documented. In the present study, maternal arsenate exposure also triggered differential regulation of an array of genes encoding numerous growth and differentiation factors, signaling mediators as well as proteins involved in governing cell proliferation, within CNCCs (Supplementary Table 3H–J, respectively). Earlier studies reported that p63 and IRF6, functioning within a regulatory loop, orchestrate cellular proliferation and differentiation during normal orofacial development, and that mutations in p63 and IRF6 have been linked to increased risk for cleft lip and/or palate [87, 88]. Notably, in the current study, arsenate-induced significant upregulation of Irf6 and Trp63 (Supplementary Table 3H) could underlie abnormal CNCC proliferation and differentiation, resulting in the arsenate-induced orofacial anomalies previously reported [21]. Further support for the possibility that arsenic teratogenicity is mediated via targeting genes governing cellular proliferation, growth and differentiation, and signal transduction comes from the following: (1) IPA analysis (of genes differentially expressed in CNCCs subsequent to maternal arsenate exposure) revealed two interactive gene association maps, one highlighting cellular proliferation and differentiation and the other accentuating a multitude of signaling pathways (Supplementary Figures 5 and 7, respectively), and (2) analyses with the KEGG, Panther and Biocarta pathway databases (using the NIH-DAVID program) and IPA, also revealed an array of canonical cascades (such as, the FGF-, p38MAPK-, Wnt/ß-catenin-, PDGF-, JAK/STAT-, EGF receptor-, VEGF- and mTOR signaling pathways) operative within NCCs, that were potentially impacted by in utero arsenate exposure (Table 1 and Supplementary Table 6). These signaling pathways are known to direct diverse physiological processes including cellular proliferation and differentiation [63, 89]. Intriguingly, in the present study, maternal arsenate exposure altered expression of genes encoding 9 members of the mTOR signaling pathway within CNCCs (Supplementary Table 6). Although previously unreported in an embryonic cell system, arsenate exposure-induced modulation of mTOR signaling and resultant altered cellular proliferation and apoptosis have been reported in various adult cell types [90, 91]. Another novel finding from the present study is the potential impact of maternal arsenate exposure on RhoGDI signaling. Eight genes that have been documented to regulate cellular proliferation, migration and apoptosis [92], and are members of the RhoGD1 cascade, were differentially expressed in CNCCs (Supplementary Table 7). Yet another unique finding is the emergence of two closely-related pathways: Pyridoxal 5’-phosphate Salvage Pathway, and the Salvage Pathways of Pyrimidine Ribonucleotides, as the two most enriched canonical cascades in arsenate-exposed CNCCs, several gene members of which displayed significant differential expression (Supplementary Table 6). Abnormal pyridoxal 5’-phosphate (PLP; Vitamin B6) metabolism alone or in tandem with anomalous folate metabolism has been linked to craniofacial dysmorphologies [93, 94].
Regulation of gene expression:
Bioinformatic analysis (IPA) predicted several upstream regulators of gene expression that are potentially activated or inhibited in CNCCs following prenatal arsenate exposure (Supplementary Table 8). Of these, two microRNAs (miR-124–3p and miR-16–5p), small non-coding RNAs that function in mRNA silencing, were potentially “activated” by arsenate, as 15 and 14 of their respective gene-targets were significantly downregulated in CNCCs following prenatal arsenate exposure. In contrast, the miR-1/miR-206 family of miRNAs were potentially “repressed” by arsenate as 14 of their gene targets displayed significantly enhanced expression in arsenate-exposed CNCCs. Key roles and differential expression of miR-124, miR-16 and miR-206 during neural tube and orofacial development have been well-documented [95–99]. In addition, miR-124 and miR-206 were characterized as differentially expressed miRNAs in sodium arsenite-induced NTDs in chick embryos [100]. IPA also predicted retinoic acid (RA) as one of the potentially “activated” upstream regulators of gene expression within CNCCs following maternal arsenate exposure. In the present study, arsenate exposure resulted in significant upregulation of 31 out of 41 RA target genes in CNCCs offering credence to this prediction (Supplementary Table 8). Since RA-induced NTDs and craniofacial anomalies are thought to be mediated via effects on CNCCs [101–103], these findings underscore the potential for unique miRNA/RA-mediated teratogenic mechanisms within CNCCs.
Collectively, these data document potential adverse impact(s) of prenatal arsenate exposure on various growth factor-mediated signaling pathways (FGF-, p38MAPK-, Wnt/ß-catenin-, Ras, PDGF-, JAK/STAT-, EGF receptor-, VEGF- and RA-), as well as, epigenetic regulators (miR-16, −124 and −206), directing crucial cellular processes central to normal craniofacial morphogenesis. Such insult(s) can potentially result in abnormal cellular proliferation, differentiation, and survival, as well as DNA damage, generation of ROS, altered energy metabolism/mitochondrial dysfunction and decreased protein synthesis while increasing degradation of key proteins, within CNCCs.
5. CONCLUSIONS:
This is the first study where a highly purified population of CNCCs was exposed in utero to the teratogen, sodium arsenate, and a gene expression signature created using high-density DNA microarrays. Utilization of bioinformatic tools, such as NIH-DAVID and Ingenuity pathway analysis, enabled identification of biological themes that are enriched in CNCCs as a consequence of prenatal arsenate exposure. These biological themes may hold the key towards understanding the precise mechanisms by which arsenic, in particular, and other teratogens, in general, may compromise the developing orofacial region including the upper lip and secondary palate.
Supplementary Material
HIGHLIGHTS.
Isolated pure population of mouse cranial neural crest cells (CNCCs).
Studied the effects of in utero exposure to sodium arsenate on CNCCs.
Reported arsenate-induced alterations in the expression of novel candidate genes.
Identified novel signaling pathways potentially impacted by arsenate exposure.
Identified novel genes & canonical cascades that may contribute to arsenate-induced orofacial defects.
ACKNOWLEDGEMENTS
This work was supported in part through NIH grants HD053509, DE018215, and P20-RR017702 from the COBRE program of the National Center for Research Resources.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Competing Interests: The authors have no competing financial interests.
REFERENCES
- [1].Spiegelstein O, Gould A, Wlodarczyk B, Tsie M, Lu X, Le C, Troen A, Selhub J, Piedrahita JA, Salbaum JM, Kappen C, Melnyk S, James J, Finnell RH, Developmental consequences of in utero sodium arsenate exposure in mice with folate transport deficiencies, Toxicol Appl Pharmacol 203(1) (2005) 18–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].Song G, Cui Y, Han ZJ, Xia HF, Ma X, Effects of choline on sodium arsenite-induced neural tube defects in chick embryos, Food Chem Toxicol 50(12) (2012) 4364–74. [DOI] [PubMed] [Google Scholar]
- [3].Naujokas MF, Anderson B, Ahsan H, Aposhian HV, Graziano JH, Thompson C, Suk WA, The broad scope of health effects from chronic arsenic exposure: update on a worldwide public health problem, Environ Health Perspect 121(3) (2013) 295–302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Mazumdar M, Valeri L, Rodrigues EG, Ibne Hasan MO, Hamid R, Paul L, Selhub J, Silva F, Mostofa MG, Quamruzzaman Q, Rahman M, Christiani DC, Polymorphisms in maternal folate pathway genes interact with arsenic in drinking water to influence risk of myelomeningocele, Birth Defects Res A Clin Mol Teratol 103(9) (2015) 754–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [5].Mazumdar M, Does arsenic increase the risk of neural tube defects among a highly exposed population? A new case-control study in Bangladesh, Birth Defects Res 109(2) (2017) 92–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [6].Tauheed J, Sanchez-Guerra M, Lee JJ, Paul L, Hasan MOSI, Quamruzzaman Q, Selhub J, Wright RO, Christiani DC, Coull BA, Baccarelli AA, Mazumdar M, Associations between post translational histone modifications, myelomeningocele risk, environmental arsenic exposure, and folate deficiency among participants in a case control study in Bangladesh, Epigenetics-Us 12(6) (2017) 484–491. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [7].Wlodraczyk B, Bennett GD, Calvin JA, Craig JC, Finnell RH, Arsenic-induced alterations in embryonic transcription factor gene expression: implications for abnormal neural development, Dev Genet 18(4) (1996) 306–15. [DOI] [PubMed] [Google Scholar]
- [8].Wlodarczyk BJ, Bennett GD, Calvin JA, Finnell RH, Arsenic-induced neural tube defects in mice: alterations in cell cycle gene expression, Reprod Toxicol 10(6) (1996) 447–54. [DOI] [PubMed] [Google Scholar]
- [9].DeSesso JM, Jacobson CF, Scialli AR, Farr CH, Holson JF, An assessment of the developmental toxicity of inorganic arsenic, Reprod Toxicol 12(4) (1998) 385–433. [DOI] [PubMed] [Google Scholar]
- [10].Cherry N, Shaikh K, McDonald C, Chowdhury Z, Stillbirth in rural Bangladesh: arsenic exposure and other etiological factors: a report from Gonoshasthaya Kendra, Bull World Health Organ 86(3) (2008) 172–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Sohel N, Vahter M, Ali M, Rahman M, Rahman A, Streatfield PK, Kanaroglou PS, Persson LA, Spatial patterns of fetal loss and infant death in an arsenic-affected area in Bangladesh, Int J Health Geogr 9 (2010) 53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [12].Pallocca G, Grinberg M, Henry M, Frickey T, Hengstler JG, Waldmann T, Sachinidis A, Rahnenfuhrer J, Leist M, Identification of transcriptome signatures and biomarkers specific for potential developmental toxicants inhibiting human neural crest cell migration, Arch Toxicol 90(1) (2016) 159–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [13].Bloom MS, Fitzgerald EF, Kim K, Neamtiu I, Gurzau ES, Spontaneous pregnancy loss in humans and exposure to arsenic in drinking water, Int J Hyg Environ Health 213(6) (2010) 401–13. [DOI] [PubMed] [Google Scholar]
- [14].Nagymajtenyi L, Selypes A, Berencsi G, Chromosomal aberrations and fetotoxic effects of atmospheric arsenic exposure in mice, J Appl Toxicol 5(2) (1985) 61–3. [DOI] [PubMed] [Google Scholar]
- [15].Dastgiri S, Mosaferi M, Fizi MAH, Olfati N, Zolali S, Pouladi N, Azarfam P, Arsenic exposure, dermatological lesions, hypertension, and chromosomal abnormalities among people in a rural community of northwest Iran, J Health Popul Nutr 28(1) (2010) 14–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [16].Patlolla AK, Todorov TI, Tchounwou PB, van der Voet G, Centeno JA, Arsenic-induced biochemical and genotoxic effects and distribution in tissues of Sprague-Dawley rats, Microchem J 105 (2012) 101–107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [17].Ferm VH, Arsenic as a Teratogenic Agent, Environ Health Persp 19(Aug) (1977) 215–217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Mazumdar M, Ibne Hasan MO, Hamid R, Valeri L, Paul L, Selhub J, Rodrigues EG, Silva F, Mia S, Mostofa MG, Quamruzzaman Q, Rahman M, Christiani DC, Arsenic is associated with reduced effect of folic acid in myelomeningocele prevention: a case control study in Bangladesh, Environ Health 14 (2015) 34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Pastides H, Calabrese EJ, Hosmer DW, Harris DR, Spontaneous-abortion and general illness symptoms among semiconductor manufacturers, J Occup Environ Med 30(7) (1988) 543–551. [PubMed] [Google Scholar]
- [20].Wu JL, Chen G, Liao YL, Song XM, Pei LJ, Wang JF, Zheng XY, Arsenic levels in the soil and risk of birth defects: a population-based case-control study using GIS technology, J Environ Health 74(4) (2011) 20–25. [PubMed] [Google Scholar]
- [21].Singh S, Greene RM, Pisano MM, Arsenate-induced apoptosis in murine embryonic maxillary mesenchymal cells via mitochondrial-mediated oxidative injury, Birth Defects Res A Clin Mol Teratol 88(1) (2010) 25–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [22].Bhattacherjee V, Mukhopadhyay P, Singh S, Roberts EA, Hackmiller RC, Greene RM, Pisano MM, Laser capture microdissection of fluorescently labeled embryonic cranial neural crest cells, Genesis 39(1) (2004) 58–64. [DOI] [PubMed] [Google Scholar]
- [23].Bhatt S, Diaz R, Trainor PA, Signals and switches in mammalian neural crest cell differentiation, Cold Spring Harb Perspect Biol 5(2) (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- [24].Basch ML, Garcia-Castro MI, Bronner-Fraser M, Molecular mechanisms of neural crest induction, Birth Defects Res C Embryo Today 72(2) (2004) 109–23. [DOI] [PubMed] [Google Scholar]
- [25].Singh S, Bhattacherjee V, Mukhopadhyay P, Worth CA, Wellhausen SR, Warner CP, Greene RM, Pisano MM, Fluorescence-activated cell sorting of EGFP-labeled neural crest cells from murine embryonic craniofacial tissue, J Biomed Biotechnol 2005(3) (2005) 232–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Wilkinson DGB, J.A.; McMahon AP, Expression of the proto-oncogene int-1 is restricted to specific neural cells in the developing mouse embryo, Cell 50 (1987) 79–88. [DOI] [PubMed] [Google Scholar]
- [27].Danielian PS, Muccino D, Rowitch DH, Michael SK, McMahon AP, Modification of gene activity in mouse embryos in utero by a tamoxifen-inducible form of Cre recombinase, Curr Biol 8(24) (1998) 1323–6. [DOI] [PubMed] [Google Scholar]
- [28].Novak A, Guo CY, Yang WY, Nagy A, Lobe CG, Z/EG, a double reporter mouse line that expresses enhanced green fluorescent protein upon Cre-mediated excision, Genesis 28(3–4) (2000) 147–155. [PubMed] [Google Scholar]
- [29].Mukhopadhyay P, Horn KH, Greene RM, Michele Pisano M, Prenatal exposure to environmental tobacco smoke alters gene expression in the developing murine hippocampus, Reprod Toxicol 29(2) (2010) 164–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Huang DW, Sherman BT, Lempicki RA, Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources, Nat Protoc 4(1) (2009) 44–57. [DOI] [PubMed] [Google Scholar]
- [31].Livak KJ, Schmittgen TD, Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method, Methods 25(4) (2001) 402–8. [DOI] [PubMed] [Google Scholar]
- [32].Agrawal A, Toxicity and fate of heavy metals with particular reference to developing foetus, Advances in Life Sciences 2(2) (2012) 29–38. [Google Scholar]
- [33].Jin YP, Xi SH, Li X, Lu CN, Li GX, Xu YY, Qu CN, Niu YH, Sun GF, Arsenic speciation transported through the placenta from mother mice to their newborn pups, Environ Res 101(3) (2006) 349–355. [DOI] [PubMed] [Google Scholar]
- [34].Lindgren A, Danielsson BR, Dencker L, Vahter M, Embryotoxicity of arsenite and arsenate: distribution in pregnant mice and monkeys and effects on embryonic cells in vitro, Acta Pharmacol Toxicol (Copenh) 54(4) (1984) 311–20. [DOI] [PubMed] [Google Scholar]
- [35].Unis D, Osborne C, Diawara MM, Arsenite exposure compromises early embryonic development in the Golden hamster, Reprod Toxicol 28(3) (2009) 329–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36].Wang A, Holladay SD, Wolf DC, Ahmed SA, Robertson JL, Reproductive and developmental toxicity of arsenic in rodents: a review, Int J Toxicol 25(5) (2006) 319–31. [DOI] [PubMed] [Google Scholar]
- [37].Chaineau E, Binet S, Pol D, Chatellier G, Meininger V, Embryotoxic effects of sodium arsenite and sodium arsenate on mouse embryos in culture, Teratology 41(1) (1990) 105–12. [DOI] [PubMed] [Google Scholar]
- [38].Stump DG, Holson JF, Fleeman TL, Nemec MD, Farr CH, Comparative effects of single intraperitoneal or oral doses of sodium arsenate or arsenic trioxide during in utero development, Teratology 60(5) (1999) 283–91. [DOI] [PubMed] [Google Scholar]
- [39].Tabocova S, Hunter ES 3rd, Gladen BC, Developmental toxicity of inorganic arsenic in whole embryo: culture oxidation state, dose, time, and gestational age dependence, Toxicol Appl Pharmacol 138(2) (1996) 298–307. [DOI] [PubMed] [Google Scholar]
- [40].Suhl J, Leonard S, Weyer P, Rhoads A, Siega-Riz AM, Renee Anthony T, Burns TL, Conway KM, Langlois PH, Romitti PA, Maternal arsenic exposure and nonsyndromic orofacial clefts, Birth Defects Res 110(19) (2018) 1455–1467. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [41].Mayor R, Theveneau E, The neural crest, Development 140(11) (2013) 2247–51. [DOI] [PubMed] [Google Scholar]
- [42].Simoes-Costa M, Bronner ME, Insights into neural crest development and evolution from genomic analysis, Genome Res 23(7) (2013) 1069–1080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [43].Liu J, Xie Y, Ward JM, Diwan BA, Waalkes MP, Toxicogenomic analysis of aberrant gene expression in liver tumors and nontumorous livers of adult mice exposed in utero to inorganic arsenic, Toxicol Sci 77(2) (2004) 249–57. [DOI] [PubMed] [Google Scholar]
- [44].Tokar EJ, Qu W, Liu J, Liu W, Webber MM, Phang JM, Waalkes MP, Arsenic-specific stem cell selection during malignant transformation, J Natl Cancer Inst 102(9) (2010) 638–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [45].Wlodarczyk BJ, Cabrera RM, Hill DS, Bozinov D, Zhu H, Finnell RH, Arsenic-induced gene expression changes in the neural tube of folate transport defective mouse embryos, Neurotoxicology 27(4) (2006) 547–57. [DOI] [PubMed] [Google Scholar]
- [46].Jacobs WB, Govoni G, Ho D, Atwal JK, Barnabe-Heider F, Keyes WM, Mills AA, Miller FD, Kaplan DR, P63 is an essential proapoptotic protein during neural development, Neuron 48(5) (2005) 743–756. [DOI] [PubMed] [Google Scholar]
- [47].Dugani CB, Paquin A, Fujitani M, Kaplan DR, Miller FD, p63 antagonizes p53 to promote the survival of embryonic neural precursor cells, J Neurosci 29(20) (2009) 6710–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [48].Cancino GI, Yiu AP, Fatt MP, Dugani CB, Flores ER, Frankland PW, Josselyn SA, Miller FD, Kaplan DR, p63 Regulates adult neural precursor and newly born neuron survival to control hippocampal-dependent Behavior, J Neurosci 33(31) (2013) 12569–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [49].Dobrowolski R, Sasse P, Schrickel JW, Watkins M, Kim JS, Rackauskas M, Troatz C, Ghanem A, Tiemann K, Degen J, Bukauskas FF, Civitelli R, Lewalter T, Fleischmann BK, Willecke K, The conditional connexin43G138R mouse mutant represents a new model of hereditary oculodentodigital dysplasia in humans, Hum Mol Genet 17(4) (2008) 539–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [50].Schmahl J, Raymond CS, Soriano P, PDGF signaling specificity is mediated through multiple immediate early genes, Nat Genet 39(1) (2007) 52–60. [DOI] [PubMed] [Google Scholar]
- [51].Bhattacharjee H, Ho YS, Rosen BP, Genomic organization and chromosomal localization of the Asna1 gene, a mouse homologue of a bacterial arsenic-translocating ATPase gene, Gene 272(1–2) (2001) 291–9. [DOI] [PubMed] [Google Scholar]
- [52].Hofer T, Wenger RH, Kramer MF, Ferreira GC, Gassmann M, Hypoxic up-regulation of erythroid 5-aminolevulinate synthase, Blood 101(1) (2003) 348–50. [DOI] [PubMed] [Google Scholar]
- [53].Liu J, Kadiiska MB, Liu Y, Lu T, Qu W, Waalkes MP, Stress-related gene expression in mice treated with inorganic arsenicals, Toxicol Sci 61(2) (2001) 314–20. [DOI] [PubMed] [Google Scholar]
- [54].States JC, Singh AV, Knudsen TB, Rouchka EC, Ngalame NO, Arteel GE, Piao Y, Ko MS, Prenatal arsenic exposure alters gene expression in the adult liver to a proinflammatory state contributing to accelerated atherosclerosis, PLoS One 7(6) (2012) e38713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [55].Greene RM, Pisano MM, Palate morphogenesis: current understanding and future directions, Birth Defects Res C Embryo Today 90(2) (2010) 133–54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [56].Tesz GJ, Guilherme A, Guntur KV, Hubbard AC, Tang X, Chawla A, Czech MP, Tumor necrosis factor alpha (TNFalpha) stimulates Map4k4 expression through TNFalpha receptor 1 signaling to c-Jun and activating transcription factor 2, J Biol Chem 282(27) (2007) 19302–12. [DOI] [PubMed] [Google Scholar]
- [57].Dodmane PR, Arnold LL, Kakiuchi-Kiyota S, Qiu F, Liu X, Rennard SI, Cohen SM, Cytotoxicity and gene expression changes induced by inorganic and organic trivalent arsenicals in human cells, Toxicology 312 (2013) 18–29. [DOI] [PubMed] [Google Scholar]
- [58].Weng CY, Chiou SY, Wang L, Kou MC, Wang YJ, Wu MJ, Arsenic trioxide induces unfolded protein response in vascular endothelial cells, Arch Toxicol 88(2) (2014) 213–26. [DOI] [PubMed] [Google Scholar]
- [59].Wang TS, Kuo CF, Jan KY, Huang H, Arsenite induces apoptosis in Chinese hamster ovary cells by generation of reactive oxygen species, J Cell Physiol 169(2) (1996) 256–68. [DOI] [PubMed] [Google Scholar]
- [60].Liu SX, Athar M, Lippai I, Waldren C, Hei TK, Induction of oxyradicals by arsenic: implication for mechanism of genotoxicity, Proc Natl Acad Sci U S A 98(4) (2001) 1643–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].OyaOhta Y, Kaise T, Ochi T, Induction of chromosomal aberrations in cultured human fibroblasts by inorganic and organic arsenic compounds and the different roles of glutathione in such induction, Mutat Res-Fund Mol M 357(1–2) (1996) 123–129. [DOI] [PubMed] [Google Scholar]
- [62].Hei TK, Liu SX, Waldren C, Mutagenicity of arsenic in mammalian cells: role of reactive oxygen species, Proc Natl Acad Sci U S A 95(14) (1998) 8103–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [63].Druwe IL, Vaillancourt RR, Influence of arsenate and arsenite on signal transduction pathways: an update, Arch Toxicol 84(8) (2010) 585–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [64].Kapralov A, Vlasova II, Feng W, Maeda A, Walson K, Tyurin VA, Huang Z, Aneja RK, Carcillo J, Bayir H, Kagan VE, Peroxidase activity of hemoglobin-haptoglobin complexes: covalent aggregation and oxidative stress in plasma and macrophages, J Biol Chem 284(44) (2009) 30395–407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [65].Hoeflich A, Fettscher O, Preta G, Lahm H, Kolb HJ, Wolf E, Weber MM, Increased activity of catalase in tumor cells overexpressing IGFBP-2, Horm Metab Res 35(11–12) (2003) 816–21. [DOI] [PubMed] [Google Scholar]
- [66].Wang Y, Feinstein SI, Fisher AB, Peroxiredoxin 6 as an antioxidant enzyme: protection of lung alveolar epithelial type II cells from H2O2-induced oxidative stress, J Cell Biochem 104(4) (2008) 1274–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [67].Wang HY, Liu SX, Zhang M, Gene expression profile changes in NB4 cells induced by arsenic trioxide, Acta Pharmacol Sin 24(7) (2003) 646–50. [PubMed] [Google Scholar]
- [68].Hur GM, Lewis J, Yang QF, Lin Y, Nakano H, Nedospasov S, Liu ZG, The death domain kinase RIP has an essential role in DNA damage-induced NF-kappa B activation, Gene Dev 17(7) (2003) 873–882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [69].Liao WT, Chang KL, Yu CL, Chen GS, Chang LW, Yu HS, Arsenic induces human keratinocyte apoptosis by the FAS/FAS ligand pathway, which correlates with alterations in nuclear factor-kappa B and activator protein-1 activity, J Invest Dermatol 122(1) (2004) 125–129. [DOI] [PubMed] [Google Scholar]
- [70].Bergoglio V, Pillaire MJ, Lacroix-Triki M, Raynaud-Messina B, Canitrot Y, Bieth A, Gares M, Wright M, Delsol G, Loeb LA, Cazaux C, Hoffmann JS, Deregulated DNA polymerase beta induces chromosome instability and tumorigenesis, Cancer Res 62(12) (2002) 3511–4. [PubMed] [Google Scholar]
- [71].Xiao J, Liu CC, Chen PL, Lee WH, RINT-1, a novel Rad50-interacting protein, participates in radiation-induced G(2)/M checkpoint control, Journal of Biological Chemistry 276(9) (2001) 6105–6111. [DOI] [PubMed] [Google Scholar]
- [72].Hughes MF, Beck BD, Chen Y, Lewis AS, Thomas DJ, Arsenic exposure and toxicology: a historical perspective, Toxicol Sci 123(2) (2011) 305–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [73].Marlborough SJ, Wilson VL, Arsenic speciation driving risk based corrective action, Sci Total Environ 520 (2015) 253–9. [DOI] [PubMed] [Google Scholar]
- [74].Nemeti B, Regonesi ME, Tortora P, Gregus Z, Polynucleotide phosphorylase and mitochondrial ATP synthase mediate reduction of arsenate to the more toxic arsenite by forming arsenylated analogues of ADP and ATP, Toxicol Sci 117(2) (2010) 270–81. [DOI] [PubMed] [Google Scholar]
- [75].Gresser MJ, ADP-arsenate. Formation by submitochondrial particles under phosphorylating conditions, J Biol Chem 256(12) (1981) 5981–3. [PubMed] [Google Scholar]
- [76].Kharroubi W, Haj Ahmed S, Nury T, Andreoletti P, Sakly R, Hammami M, Lizard G, Mitochondrial dysfunction, oxidative stress and apoptotic induction in microglial BV-2 cells treated with sodium arsenate, J Environ Sci (China) 51 (2017) 44–51. [DOI] [PubMed] [Google Scholar]
- [77].Prakash C, Soni M, Kumar V, Mitochondrial oxidative stress and dysfunction in arsenic neurotoxicity: A review, J Appl Toxicol 36(2) (2016) 179–88. [DOI] [PubMed] [Google Scholar]
- [78].Lu TH, Tseng TJ, Su CC, Tang FC, Yen CC, Liu YY, Yang CY, Wu CC, Chen KL, Hung DZ, Chen YW, Arsenic induces reactive oxygen species-caused neuronal cell apoptosis through JNK/ERK-mediated mitochondria-dependent and GRP 78/CHOP-regulated pathways, Toxicol Lett 224(1) (2014) 130–40. [DOI] [PubMed] [Google Scholar]
- [79].Alfandari D, Cousin H, Marsden M, Mechanism of Xenopus cranial neural crest cell migration, Cell Adh Migr 4(4) (2010) 553–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [80].Richardson RJ, Dixon J, Jiang RL, Dixon MJ, Integration of IRF6 and Jagged2 signalling is essential for controlling palatal adhesion and fusion competence, Human Molecular Genetics 18(14) (2009) 2632–2642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [81].Suh HN, Han HJ, Laminin regulates mouse embryonic stem cell migration: involvement of Epac1/Rap1 and Rac1/cdc42, Am J Physiol Cell Physiol 298(5) (2010) C1159–69. [DOI] [PubMed] [Google Scholar]
- [82].Nakagawa S, Takeichi M, Neural crest emigration from the neural tube depends on regulated cadherin expression, Development 125(15) (1998) 2963–71. [DOI] [PubMed] [Google Scholar]
- [83].Park KS, Gumbiner BM, Cadherin 6B induces BMP signaling and de-epithelialization during the epithelial mesenchymal transition of the neural crest, Development 137(16) (2010) 2691–701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [84].Li D, Lu C, Wang J, Hu W, Cao Z, Sun D, Xia H, Ma X, Developmental mechanisms of arsenite toxicity in zebrafish (Danio rerio) embryos, Aquat Toxicol 91(3) (2009) 229–37. [DOI] [PubMed] [Google Scholar]
- [85].Li Y, Zhu H, Kong P, [Influence of arsenic on proliferation and differentiation of rat bud cells in vitro], Wei Sheng Yan Jiu 27(3) (1998) 161–3. [PubMed] [Google Scholar]
- [86].Ferrario D, Collotta A, Carfi M, Bowe G, Vahter M, Hartung T, Gribaldo L, Arsenic induces telomerase expression and maintains telomere length in human cord blood cells, Toxicology 260(1–3) (2009) 132–41. [DOI] [PubMed] [Google Scholar]
- [87].Thomason HA, Zhou HQ, Kouwenhoven EN, Dotto GP, Restivo G, Nguyen BC, Little HL, Dixon MJ, van Bokhoven H, Dixon J, Cooperation between the transcription factors p63 and IRF6 is essential to prevent cleft palate in mice, J Clin Invest 120(5) (2010) 1561–1569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [88].Moretti F, Marinari B, Lo Iacono N, Botti E, Giunta A, Spallone G, Garaffo G, Vernersson-Lindahl E, Merlo G, Mills AA, Ballaro C, Alema S, Chimenti S, Guerrini L, Costanzo A, A regulatory feedback loop involving p63 and IRF6 links the pathogenesis of 2 genetically different human ectodermal dysplasias, J Clin Invest 120(5) (2010) 1570–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [89].Schoen A, Beck B, Sharma R, Dube E, Arsenic toxicity at low doses: epidemiological and mode of action considerations, Toxicol Appl Pharm 198(3) (2004) 253–267. [DOI] [PubMed] [Google Scholar]
- [90].Yoon P, Giafis N, Smith J, Mears H, Katsoulidis E, Sassano A, Altman J, Redig AJ, Tallman MS, Platanias LC, Activation of mammalian target of rapamycin and the p70 S6 kinase by arsenic trioxide in BCR-ABL-expressing cells, Mol Cancer Ther 5(11) (2006) 2815–23. [DOI] [PubMed] [Google Scholar]
- [91].Altman JK, Yoon P, Katsoulidis E, Kroczynska B, Sassano A, Redig AJ, Glaser H, Jordan A, Tallman MS, Hay N, Platanias LC, Regulatory effects of mammalian target of rapamycin-mediated signals in the generation of arsenic trioxide responses, J Biol Chem 283(4) (2008) 1992–2001. [DOI] [PubMed] [Google Scholar]
- [92].Qi YX, Qu MJ, Long DK, Liu B, Yao QP, Chien S, Jiang ZL, Rho-GDP dissociation inhibitor alpha downregulated by low shear stress promotes vascular smooth muscle cell migration and apoptosis: a proteomic analysis, Cardiovasc Res 80(1) (2008) 114–22. [DOI] [PubMed] [Google Scholar]
- [93].Tamura T, Munger RG, Nepomuceno B, Corcoran C, Cembrano J, Solon F, Maternal plasma pyridoxal-5’-phosphate concentrations and risk of isolated oral clefts in the Philippines, Birth Defects Res A Clin Mol Teratol 79(4) (2007) 276–80. [DOI] [PubMed] [Google Scholar]
- [94].Munger RG, Tamura T, Johnston KE, Feldkamp ML, Pfister R, Cutler R, Murtaugh MA, Carey JC, Oral clefts and maternal biomarkers of folate-dependent one-carbon metabolism in Utah, Birth Defects Res A Clin Mol Teratol 91(3) (2011) 153–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [95].Cao X, Pfaff SL, Gage FH, A functional study of miR-124 in the developing neural tube, Genes Dev 21(5) (2007) 531–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [96].Sweetman D, Goljanek K, Rathjen T, Oustanina S, Braun T, Dalmay T, Munsterberg A, Specific requirements of MRFs for the expression of muscle specific microRNAs, miR-1, miR-206 and miR-133, Dev Biol 321(2) (2008) 491–9. [DOI] [PubMed] [Google Scholar]
- [97].Zhang Z, Chang H, Li Y, Zhang T, Zou J, Zheng X, Wu J, MicroRNAs: potential regulators involved in human anencephaly, Int J Biochem Cell Biol 42(2) (2010) 367–74. [DOI] [PubMed] [Google Scholar]
- [98].Mukhopadhyay P, Brock G, Pihur V, Webb C, Pisano MM, Greene RM, Developmental microRNA expression profiling of murine embryonic orofacial tissue, Birth Defects Res A Clin Mol Teratol 88(7) (2010) 511–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [99].Mukhopadhyay P, Brock G, Appana S, Webb C, Greene RM, Pisano MM, MicroRNA gene expression signatures in the developing neural tube, Birth Defects Res A Clin Mol Teratol 91(8) (2011) 744–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [100].Cui Y, Han Z, Hu Y, Song G, Hao C, Xia H, Ma X, MicroRNA-181b and microRNA-9 mediate arsenic-induced angiogenesis via NRP1, J Cell Physiol 227(2) (2012) 772–83. [DOI] [PubMed] [Google Scholar]
- [101].Emmanouil-Nikoloussi EN, Goret-Nicaise M, Kerameos-Foroglou C, Dhem A, Anterior neural tube malformations induced after all-trans retinoic acid administration in white rat embryos. I. Macroscopical observations, Morphologie 84(264) (2000) 5–11. [PubMed] [Google Scholar]
- [102].Yu J, Gonzalez S, Martinez L, Diez-Pardo JA, Tovar JA, Effects of retinoic acid on the neural crest-controlled organs of fetal rats, Pediatr Surg Int 19(5) (2003) 355–8. [DOI] [PubMed] [Google Scholar]
- [103].Vieux-Rochas M, Bouhali K, Baudry S, Fontaine A, Coen L, Levi G, Irreversible effects of retinoic acid pulse on xenopus jaw morphogenesis: new insight into cranial neural crest specification, Birth Defects Res B 89(6) (2010) 493–503. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.


