Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 Jun 4.
Published in final edited form as: Birth Defects Res A Clin Mol Teratol. 2010 Feb;88(2):111–127. doi: 10.1002/bdra.20631

Gene expression profiling in the fetal cardiac tissue after folate and low dose trichloroethylene exposure

Patricia T Caldwell 1, Ann Manziello 3, Jamie Howard 1, Brittany Palbykin 1, Raymond B Runyan 2,3, Ornella Selmin 1,3
PMCID: PMC4045246  NIHMSID: NIHMS569317  PMID: 19813261

Abstract

Background

Previous studies show gene expression alterations in rat embryo hearts and cell lines that correspond to the cardio-teratogenic effects of trichloroethylene (TCE) in animal models. One potential mechanism of TCE teratogenicity may be through altered regulation of calcium homeostatic genes with a corresponding inhibition of cardiac function. It has been suggested that TCE may interfere with the folic acid/methylation pathway in liver and kidney and alter gene regulation by epigenetic mechanisms. According to this hypothesis, folate supplementation in the maternal diet should counteract TCE effects on gene expression in the embryonic heart.

Approach

To identify transcriptional targets altered in the embryonic heart after exposure to TCE, and possible protective effects of folate, we used DNA microarray technology to profile gene expression in embryonic mouse hearts with maternal TCE exposure and dietary changes in maternal folate.

Results

Exposure to low doses of TCE (10ppb) caused extensive alterations in transcripts encoding proteins involved in transport, ion channel, transcription, differentiation, cytoskeleton, cell cycle and apoptosis. Exogenous folate did not offset the effects of TCE exposure on normal gene expression and both high and low levels of folate produced additional significant changes in gene expression.

Conclusions

A mechanism where TCE induces a folate deficiency does not explain altered gene expression patterns in the embryonic mouse heart. The data further suggest that use of folate supplementation, in the presence of this toxin, may be detrimental and non-protective of the developing embryo.

Keywords: Halogenated hydrocarbons, trichloroethylene, cardiac, folate, embryonic development, gene expression, ryanodine receptor

1. Introduction

Halogenated hydrocarbons contaminate water supplies in the United States and around the world. Trichloroethylene (TCE) currently ranks 16th on the CERCLA Priority List of Hazardous Substances (ATSDR, 2007). It is generally used in industry as a degreasing agent and is found in paint removers, correction fluids, and household cleaners (Steinberg and DeSesso, 1993; Waters et al., 1977). Exposure to TCE through contaminated drinking water has been associated with increased incidence of congenital heart malformations in children born to exposed mothers and in model animals (Goldberg et al., 1990; Johnson et al., 1998b; Shaw et al., 1992; Spiegelstein et al., 2005).

TCE and Heart Development

The heart is the earliest functioning organ, first appearing as a simple linear tube that pumps in peristaltic fashion, and undergoing looping to form two chambers with the addition of primitive valves to inhibit retrograde flow (Forouhar et al., 2006; Liebling et al., 2006). The formation of the four chambered heart requires a series of septations in the atrioventricular canal, the atrium and the ventricle (Kirby, 2001). The first septation in the atrioventricular canal involves a process called epithelial-to-mesencyhmal transition (EMT) where endocardial cells migrate into the cardiac jelly, proliferate, and form valve leaflets (Armstrong and Bischoff, 2004). Proper developmental transitions are vital to heart function and embryo survival. Mutations in genes involved in these phases can lead to valve defects, disrupted blood flow and lethality (Clark et al., 2006; Joziasse et al., 2008).

Previous investigations using animal models have reported an association between TCE exposure and increased incidence of congenital heart malformations (Dawson et al., 1993; Goldberg et al., 1992; Johnson et al., 1998a; Johnson et al., 2003; Loeber et al., 1988; ). More recently several groups have reported on possible mechanisms by which TCE may affect heart development. In the chick model, Boyer et al. (2000) demonstrated that exposure to 200ppb TCE reduced by 50% EMT of valve progenitors in a collagen gel assay, while lower doses of TCE in ovo enhanced valvuloseptal hypercellularity, endocardial cell proliferation and altered hemodynamic in the embryonic heart (Drake et al., 2006a; Drake et al., 2006b; Mishima et al., 2006). Others found that TCE exposure altered expression of the endothelial nitric oxide synthase and disrupted VEGF-stimulated endothelial proliferation in myocytes, suggesting a possible mechanism for TCE-mediated heart malformations (Ou et al., 2003). Our own studies indicated that exposure to TCE disrupted calcium flux regulation in myocytes (Caldwell et al., 2008). Heart morphogenesis is a complex process in which cascading events must be precisely orchestrated, so any external factor altering one or more of these events is likely to perturb normal cardiac development. Currently, there is no unifying hypothesis that reconciles the effects of TCE on the developing embryonic heart.

Folate and Heart Development

Epidemiological studies have shown maternal use of multivitamins in early pregnancy can reduce the risk for development of CHD in the fetus (Gelineau-van Waes et al., 2008). A study by Botto et al., (2003) showed that the risk of heart defects was lower in children born to mothers who used multivitamin supplements than in children of those who did not take supplements. High levels of folate are usually included in recommended multivitamin supplements. Folate participates with vitamin B12 in the process that re-methylates homocysteine into methionine, which is the main methyl donor in form of S-adenosyl methionine (SAM) and is necessary for new synthesis of protein and nucleic acids. Folate is especially important in periods of rapid cell division and growth, as in infancy and pregnancy.

Chronic nutritional variations in folate metabolism may affect embryonic development and potentially increase incidence of cardiovascular defects because of the vital role of folate in DNA biosynthesis and amino acid metabolism (Li et al., 2005; Rosenquist et al., 1996). Only a few animal studies have been conducted on the effects of dietary folate and reproductive outcomes (Burgoon et al., 2002; Li et al., 2005; Sakanashi et al., 1996). A recent prevention trial in patients with prior colorectal polyps found an increased risk of reoccurrence when folic acid supplementation was used, suggesting a dual role of folate in carcinogenesis with potential support of tumor growth (Song et al., 2000).

It has been suggested that TCE induces folate deficiency in kidney by producing free radicals, which induce a B12 shortage, and consequently cause folate deficiency (Dow and Green, 2000). In rat, diet supplementation with methionine prevents the effects of TCE on induction of liver tumors, by reversing TCE-induced hypomethylation of c-myc and c-jun (Tao et al., 2000a; 2000b). To date, no studies have investigated whether trichloroethylene interferes with folate's metabolic pathways and, in turn, disrupts normal development of the embryo.

Previous work from our laboratory demonstrated that TCE exposure altered calcium regulation in cardiac myocytes and the expression of genes involved in calcium homeostasis (Caldwell et al., 2008; Selmin et al., 2008), suggesting a possible mechanism by which cardiac malformations occur. To identify other key contributing pathways that may be altered in the embryonic heart after exposure to TCE, we used DNA microarray technology to profile gene expression patterns in mice. Embryonic hearts were isolated from pregnant mice that had received a diet supplemented with low, normal, or high amounts of folate (0, 2, and 8mg/kg) in the presence or absence of 10ppb TCE in drinking water. The goal of this study was to measure transcriptional changes in the developing heart following exposure to low, environmentally significant doses of TCE, and to determine whether folic acid supplementation might counteract the effects of TCE. We found that high levels of folate supplementation with TCE exposure caused dramatic alterations in the expression level of genes involved in cellular pathways crucial for embryo development, such as transport, ion channels, differentiation, cytoskeleton, transcription, cell cycle and apoptosis. These findings suggest that a high folate diet does not offset low level TCE exposure and that the combination of TCE and high folate may have greater detrimental effects on development of the fetal heart.

2. Materials and Methods

All animals used in this study were maintained in a facility approved by the Association for Assessment and Accreditation of Laboratory Animal Care International and in accordance with the established guidelines of the University of Arizona's Institutional Animal Care and Use Committee, the Animal Welfare Act, and U.S. Public Health Service policy standards.

2.1. Fetal Collection and Morphological Staging

Wild type mice (129S1/SvlmJ) were obtained from Jackson Laboratories (Bar Harbor, ME). Female mice were assigned to 3 different folate diets for four weeks before mating: 0mg/kg folate, 2mg/kg folate, and 8mg/kg folate (Dyets Version of the Clifford/Koury Folate Deficient L-Amino Acid Rodent Diet Without Succinyl Sulfathiazole, Modified for Pelleting; Dyets Inc, Bethlehem, PA), and received water ad libitum. The presence of a vaginal plug was considered indicative of day 0 pregnancy. At this time, each folate group was divided in two sub-groups of control and TCE exposed mice, and maternal exposure to 10ppbTCE was started via drinking water.

TCE was prepared daily in glass bottles that had been soaked in concentrated TCE solution overnight, rinsed and dried in a chemical hood before use. Each bottle was placed in metal casing to reduce light exposure and subsequent chemical breakdown. Control animals received distilled water throughout pregnancy.

At gestational time point of day 10, corresponding to the first phase of heart development, pregnant dams were sacrificed by CO2 inhalation, the abdomen opened and the uterine contents removed. The location of all viable fetuses and reabsorption sites were recorded. Decidual capsules were transferred to a phosphate-buffered saline solution and embryos were dissected free. All embryos were examined grossly for size and developmental stage. Cardiac tissue was removed from each viable embryo and placed in RNA later for future use. Maternal organs were also harvested for additional studies. Whole fetuses were viewed under a Nikon SMZ-2T stereomicroscope.

2.2. RNA extraction

Total RNA was extracted from pooled embryo hearts (n= 35, corresponding to 4-6 litters) and purified using a custom RNA extraction method. Briefly, the RNAlater solution was removed from the merged heart pools. 100uL RLT buffer with 1% B-mercaptoethanol and 600ul Trizol (Invitrogen, Carlsbad, CA) was added and mixed. RNA extraction was performed according to manufacturer instructions. Dry RNA pellets were resolubilized in 30uL RNAase-free dionized water. RNeasy Mini Kits (Qiagen, Valencia, CA) were used for further RNA cleanup if needed.

2.3. RNA and microarray preparation

Six sample groups (control and TCE exposed from each one of the three folate diet groups) were tested, each with two biological replicates for a total of 12 sample groups. Total RNA from each group was processed by the University of Arizona microarray facility (Genomics Shared Service, Tucson, AZ). RNA purity was evaluated using an Eppendorf BioPhotometer (Eppendorf North America, Westbury, NY) to obtain values of nucleotides, organics, proteins, and contaminants in the samples. Viable RNA had 260/280 ratios between 1.8 and 2.0 or higher. RNA integrity was confirmed using an Agilent 2100 Bioanalyzer (Agilent Technologies, Waldbronn, Germany) following the RNA 6000 Nano Chip Series II Assay protocol. Twelve Affymetrix Mouse Gene 1.0 ST arrays (Affymetrix, Santa Clara, CA) containing over 28,000 gene-level probe sets were used for genome wide expression profiling. The arrays were processed according to the protocol (GeneChip Whole Transcript) Sense Target Labeling Assay Manual, version4) established by Affymetrix. Briefly, 400ng of total RNA were reverse transcribed into double stranded cDNA using the Affymetrix WT cDNA Synthesis and Amplification kit. The entire cDNA was then transcribed into cRNA overnight, cleaned using the Affymetrix GeneChip Sample Cleanup Module, and quantified on a NanoDrop 1000 (Thermo Scientific, Wilmington, DE). 8ug of cRNA were reverse transcribed into ssDNA, and labeled. Aliquots of the labeled DNA were combined with the hybridization solution overnight. The arrays were scanned using the Affymetrix GeneChip Scanner 3000 with 7G upgrade. The image generated was analyzed using the Affymetrix GeneChip Operating Software (GCOS) were .DAT (image), .CEL (cell intensity data), .CHP (probe analysis data) files were generated.

2.4. Statistical analysis of DNA microarrays

The Affymetrix mouse gene ST arrays were processed with a bioconductor library (http://www.bioconductor.org) designed for this array. The arrays were then normalized using the RMA function in the oligo library of bioconductor. In order to identify poor quality arrays, Spearman correlation coefficients between all arrays were computed. A plot of the coefficients revealed that correlations between all arrays were 0.98 or greater, indicating that a relatively small number of genes were changing in response to the treatments. As a further control, the distribution of values for positive and negative control probes were examined on each array and were found to have the correct expected separation. The samples included 2 arrays representing two biological replicates for each treatment.

Since there were only two replicates due to the complexity of the sample preparation, a specific approach was used that identified probes that showed a consistent change between biological duplicates. A cutoff value for the change between treatments of 1.5 fold was chosen based on an examination of the distribution of expression values on these arrays and identified approximately 200-1000 probes that were varying to the greatest extent. Probe lists were generated as described below.

Briefly, the objective was to find genes that were changing between treatments while reducing the effects of the biological variation between duplicate samples. To compare two treatments, probe expression ratios for all 4 possible combinations of the duplicate arrays were calculated. If 2 or more of these ratios were 1.5 fold or greater, the gene was considered to be changed. These probe sets were annotated using Affymetrix data files and the affected genes, biological functions, and pathways were identified. For the biochemical pathway analysis, lists of genes involved in pathways of biological interest were obtained from the KEGG database using the BIORAG resource (http://www.biorag.org ). Genes showing expression ratios between treatments of greater than 1.5 fold were then identified.

2.5. Reverse-transcriptase and quantitative real-time PCR

Total RNA from pooled embryos was transcribed into cDNA using the ISCRIPT cDNA synthesis kit (Bio-Rad Laboratories, Hercules, CA). Gene specific primers were used to amplify mouse β-actin, Ryr2, ErbB, Sumo1, INSR, GATA3, Cubn, and Gstp2 transcripts. Primers for the six transcripts and the housekeeping gene were designed using the NCBI Primer-BLAST program. SYBR Green analysis using ITAQ SYBR Green supermix with ROX (Bio-rad Laboratories, Hercules, CA) was used according to the manufacturer's instructions and carried out using the gene specific primers to ensure that single band dissociation was acquired. Briefly, the real-time PCR reactions were run at a final volume of 25 μL consisting of the following master mix: 12.5 μL of 10× buffer supermix, 1 μL each of forward and reverse primers (10μM), 9.5 μL nuclease free double-distilled water, and 1μL cDNA (1μg/μl). The ABI 7300 Real Time PCR System and Ct values were used to quantify the relative differences in PCR product. Each sample was run a minimum of three times in duplicate using the same two pools of RNA used for the microarray analysis. Expression values for each specific gene were normalized against β-actin expression levels, and expressed in fold change. Values represent means +/− standard deviation (SD). SD was calculated as the ratio of SD of the sample pool (n = or > 6) divided by the average of n.

3. Results

3.1. Physical outcomes of Day 10 embryos

We performed a gross examination of each embryo after removal from the dam, and recorded the results in Table 2. Any empty amniotic sac was recorded as reabsorption. If no amniotic sacs were found in the womb, it was considered false pregnancy. Developmental stages were determined using mouse embryonic development charts (Kaufman, 1992) (Figure 1D). For each category, the first number represents a “per litter basis” of change, the second one is the percent change based on total number of embryos used in each group.

Figure 1. Developmental phenotype of Day 10 embryos.

Figure 1

A) Littermates from non-exposed dam on 0mg/kg folate. Day10 embryo shown on left with two under-developed embryos shown on right. B) Embryos from non-exposed dam on 8mg/kg folate. Day 10 embryo on left with under-developed embryo on right. C) Embryo from 10ppb TCE exposed dam on 0mg/kg folate. D) Day 10 embryo from control 2mg/kg folate group with cardiac tissue removed.

Examining the different levels of folate diet alone, without TCE exposure, both 0mg/kg (0CTL) and 8mg/kg (8CTL) folate increased the number of reabsorptions and under-developed embryos compared with the control group (2mg/kg folate, 2CTL). Normally developed embryos were reduced by 10% or more in 0CTL and 8CTL respectively, when compared against 2CTL. In the 10ppb TCE exposed embryo populations, these finding were inverted. We observed that the number of reabsorptions was decreased by ~5% in the 2mg/kg (2TCE) and 8mg/kg (8TCE) folate groups when compared against the non-exposed, control group, 2CTL. Interestingly, the percentage of reabsorptions in the 0T embryos was identical (21.3%) to 2CTL. When 0TCE and 8TCE were compared to 2TCE, we observed an increased number of reabsorptions with both low and high levels of folate in the maternal diet. In addition, there were between 7-10% less underdeveloped embryos, and 2-4% more normally developed embryos with high and low folate, respectively. Finally, the rate of false pregnancy did not change considerably across the different groups. The 0TCE and 2CTL groups had the same percentage of normally developed embryos.

3.2. Microarray Results

We used Venn diagrams to represent possible relations between comparison data sets (Figure 2). The numbers in the circle represents genes changed uniquely in a particular group and the overlapping sections show the number of altered genes in common between two, or all three groups. Figure 2A shows comparisons between 2CTL against all three folate levels in the presence of 10ppb TCE (0TCE, 2TCE, and 8TCE), separated into over and under-expressed transcripts. This comparison illustrates how TCE exposure in deficient, normal, and high folate groups altered transcript levels when compared to the non-exposed group at a normal folate level. Taking together the over and under-expressed diagrams, we observed that the most genes changed in the 8TCE group (2CTL v 8TCE) (3340 total), whereas 2894 transcripts were altered in 0TCE and 1226 in 2TCE. Furthermore, the overlap between 8TCE and 0TCE showed the highest number of similarly changed genes. Interestingly, all numbers in the under-expressed diagrams are much higher than in the over-expressed diagrams.

Figure 2. Venn Diagrams.

Figure 2

Overview of all genes altered in day 10 embryonic cardiac tissue microarrays. A) Shows comparisons between the 2mg/kg control group (2CTL) against all TCE-treated groups (OTCE, 2TCE, 8TCE). 2CTL v 0 (2, or 8) TCE include transcripts that were either under or over expressed in the TCE groups when compared with the control, 2CTL group. B) Shows comparisons between each individual TCE exposed group (OTCE, 2TCE, 8TCE) against their own folate level control group (OCTL, 2CTL, 8C).

We also compared TCE exposed versus non-exposed (CTL) groups at each of the three folate levels (Figure 2B). This diagram illustrates how TCE exposure in deficient, normal, and high folate diets altered transcript expression when compared against similar folate controls. Both over and under-expressed diagrams show a striking number of genes altered in 8TCE versus 8CTL group (1555 and 1484, respectively). 2TCE versus 2CTL is the next highest, totaling 861 under-expressed genes. In both over and under-expressed diagrams fewer than 10 genes were similarly altered by all three groups.

3.3. Gene expression changes in cellular pathways

In order to better define the effects of TCE on gene expression at different levels of folate, we grouped the down- and up- regulated transcripts based on their involvement in specific cellular pathways, and then compared each group as illustrated in Figure 3. In the first three columns, TCE exposed embryos at deficient, normal, and high folate levels were compared against their own non-exposed group. Columns 4 and 5 compared 0TCE and 8TCE against the 2TCE group. These two columns illustrate the different contribution of TCE to transcriptional change in combination with different folate levels. Columns 6 and 7 compared OCTL and 8CTL against 2CTL. These columns display the effects of different levels of folate alone on gene expression.

Figure 3. Overall gene expression changes.

Figure 3

Numbers in each box represent genes over- or under-expressed in each one of the six comparison group, and assigned to specific Kegg pathways. In the first 3 columns, expression level of transcripts in the TCE exposed embryos at low, normal, and high folate were compared against non-exposed embryos at the same folate level. Columns four and five evaluate changes in the TCE exposed embryos at 0 and 8mg/kg folate level compared against the 2mg/kg folate level exposed to 10ppb TCE. Columns six and seven indicate the number of transcripts altered in the 0 and 8mg/kg folate controls compared against 2mg/kg folate control embryos, therefore account for folate-induced changes only.

In column 1, 0CTL v OTCE shows 107 altered transcripts representing less than 0.4% of all genes on the microarrays, with the majority involved in the transport pathway. In column 2, 2CTL v 2TCE displays 252 transcripts, corresponding to less than 0.9% of all genes represented. In particular, the majority of these changes occurred in the transcription (56 altered transcripts) and transport (61 altered transcripts) pathways. In column 3, 8CTL v 8TCE shows the most dramatic alterations, with changes in over 3% of the total transcripts: Between 20 and 30 genes were altered in the calcium, DNA repair, extra-cellular matrix, immune system, and ion channels pathways; between 30 and 60 gene changes were observed in the adhesion, apoptosis, cell cycle, cytoskeleton, and differentiation pathways, while 209 genes were altered in both transcription and transport pathways.

In columns 4 and 5, we compared the expression levels in 0TCE and 8TCE against the 2TCE group. In column 4, the adhesion, apoptosis, calcium, extra-cellular matrix, cytoskeleton, and differentiation pathways all revealed between 10 and 30 altered transcripts. The most robust alterations occurred in the transcription (48 under-expressed), and transport pathways (32 over- and 67 under-expressed). In column 5, the number of transcripts altered in 2TCE v 8TCE is lower than the number in column 3, where we compared 8CTL v 8TCE. The decrease was more pronounced in the transcription, apoptosis, cell cycle, cytoskeleton (~50%), and differentiation and transport pathway (32 and 21% fewer genes, respectively).

In columns 6 and 7, expression levels in 0CTL and 8CTL were compared to 2CTL and showed the most pronounced changes, indicating a drastic effect of folate level on gene expression. At low folate level (column 6), over 50 transcripts were altered in the apoptosis and cytoskeleton pathways, and over 70 in the differentiation pathway. At high folate level (column 7), over 80 transcripts were altered in the differentiation, over 60 in the adhesion, apoptosis and cell cycle, and over 50 in the cytoskeleton pathways.

3.4. TCE effects on individual pathways

Upon examination of individual pathways, we observed common themes of expression changes across some of the comparison columns, in particular, in the calcium and ion channel pathways. The majority of over-expressed genes in the 8CTLv 8TCE and 2CTL v 8TCE groups (Table 3A, 4A: columns 3 and 5) were actually under-expressed in 2CTL v 0CTL and 2CTL v 8CTL (Table 3B, 4B: columns 6 and 7). In both pathways we observed expression changes in genes coding for calcium, potassium, sodium and voltage-gated channels, including Ryr2, NCX, Mef2, and ErbB4. The apoptosis and cell cycle pathways (Tables 5 and 6) show the majority of changes occurring in 8CTL v 8TCE, with 30-40 transcript alterations in both the over and under-expressed tables, 15% of these with over 2-fold changes. In both 2CTL v 0CTL, and 2C TL v 8CTL (Columns 6 and 7) over 40 transcripts were under-expressed. 0CTL v 0TCE and 2CTL v 2TCE (Column 1 and 2) show minor alterations in both pathways with 5 or less genes except for 11 under-expressed genes in the 2CTL v 2TCE group.

3.5. Real-time analysis of expression changes of selected genes

We selected eight transcripts that were altered by TCE in either 8CTL v 8TCE or 0CTL v 0TCE groups, and measured their expression levels by real-time PCR. The objective was to confirm the findings of the microarray analysis by a more sensitive technique. We chose to analyze two genes involved in calcium signaling (Ryr2 and NCX), and two genes involved in cellular growth (INSR and ERBB4). Gata3 was selected for its role during cardiomyocyte differentiation and early steps of heart tube morphogenesis (Cripps and Olson, 2002), and Glutathione-S-Transferase (GstP) for its importance in detoxification pathways. We selected the receptor Cubilin (gp280) (Sahali et al., 1988; Smith et al., 2006) and Sumo1, encoding for a protein that mediates sumoylation of histones and transcription factors, for their role in regulation of transcription during embryogenesis (Alkuraya et al., 2006).

Overall, the results obtained with real-time PCR are consistent with those from the microarray analysis. Figure 4A confirmed up-regulation of INSR, NCX, ERBB4, RYR2, and Gata3 in the 8TCE group. Sumo1 and Cubilin were found under-expressed in the microarray analysis, but no significant regulation was observed by real-time PCR. In 0TCE, the expression change in the three genes tested (Figure 4B) were similar to those in the microarray, although the difference was not significant for Cubilin and Gstp.

Figure 4. Real-time PCR analysis of transcripts selected for microarray validation.

Figure 4

Aliquots of RNA from the same two biological RNA pools used in the microarray analysis were run in duplicates at least three different times. Bars represent average values between different runs +/- SD.

4. Discussion

4.1. Physical outcomes of Day 10 embryos

The results from Table 2 suggest two conclusions: 1) Both high and low folate in the maternal diet leads to similar phenotypic outcomes in the embryos; and 2) Exposure to 10ppb TCE counteracted the effects of high and low folate alone. In both 0CTL and 8CTL, we observed an increased rate of reabsorbed and developmentally delayed embryos, and a decrease in normally developed embryos. However, when compared to 0TCE and 8TCE, we observed an almost perfect inversion of phenotypic outcomes (Table 2). Folate is a critical player in pathways involved in amino acid metabolism, nucleotide synthesis and methylation reactions (Wagner, 1995) so it is possible that any variation from a physiological optimum level of folate may create disturbances in one or more of these pathways. This hypothesis is corroborated by the finding that in 0TCE we observed no change in the percentage of reabsorptions and normally developed embryos when compared to 2CTL. Overall, these results suggest that TCE may facilitate the progression of these embryos through otherwise restrictive developmental checkpoints. A detailed examination of embryos is necessary to identify number and type of heart defects possibly present in each group, however, this aim will have to be addressed in future experiments.

4.2. Gene expression changes in cellular pathways

An expected finding of this study is that many changes in gene expression occurred in embryonic hearts in the 0CTL and 8CTL groups, underlying the importance of folate for development. However, TCE exposure in the presence of high folate induced the highest number of changes. This observation suggests that the effects of TCE are more dramatic and potentially detrimental to cardiac development in the presence of high folate levels in the maternal diet.

Calcium signaling is a crucial pathway for heart function (Table 3), and these findings corroborate those previously reported by our group, using in vitro models (Caldwell et al., 2008; Selmin et al., 2008). It is notable that only three out of 414 genes were altered in the 2CTL v 2TCE group and absolutely no changes were observed in the 0CTL v 0TCE level. This finding supports that notion that no further damage is caused by TCE exposure in an environment already under substantial stress due to deficient folate levels.

Ion channels are integral membrane proteins that regulate the flow of ions across the membrane and are fundamental to maintaining proper ion concentrations inside the cell (Table 4). Our data show that high folate levels in combination with TCE exposure induced over-expression of many genes in the ion channel pathway. The majority of the over-expressed genes encodes for potassium, calcium, and other cation transportation channels and corroborates previously published data from our laboratory (Caldwell et al., 2008) showing an increased calcium flux from the sarcoplasmic reticulum in cardiomyocytes exposed to 10ppb TCE. Our microarray data may be explained by TCE ability to interfere with potassium and calcium channels. Since calcium and potassium ions are very similar (both having positive charges, similar electron orbitals and atomic weights) TCE may alter the binding affinity of both channels or maintain the channels open to create a type of super-highway for calcium transport. Alternatively, TCE could alter the permeability of the cell membrane, causing an electrolyte imbalance and thus activating signaling pathways that increase synthesis of ion channels to correct the imbalance.

Significant alterations in gene expression were observed in the apoptosis and cell cycle pathways (Tables 5 and 6). Apoptosis is essential for the development of organs and structures throughout the embryonic stages, and is closely interconnected with pathways mediating the signals that direct the cell through the different phases of DNA synthesis, repair, and mitosis. Past studies have linked TCE exposure to septal and valvular malformations, hypercellularity and endocardiocyte proliferation (Drake et al., 2006a; Drake et al., 2006b; Hoffmann et al., 1994). Our results indicate that high levels of folate reduced cell cycle and apoptotic signals overall, but in the presence of 10ppb TCE, many of these signals were reversed, providing a possible explanation for the cardiac hypercellularity and induced proliferation observed by other groups.

4.3. Overall conclusions

Epidemiological and animal studies have documented the dual effect of folate on carcinogenesis: protecting normal mucosa, but enhancing progression of early lesions (Kim, 2004). Taken together, our findings also suggest that folate may have a dual effect on cardiogenesis, depending on the presence of environmental toxins, such as TCE. Additionally, our data support the notion that environmental concentrations of TCE may cause drastic changes in gene expression during critical phases of heart development. Notwithstanding the limitations associated with our study, these data suggest that the optimal dose of folate intervention needs to be determined for safe and effective prenatal care. The data also indicate that exogenous folate, whether to restore normal folate levels or raise endogenous levels does not strongly offset the effects of TCE exposure on altered gene expression. Thus, a mechanism where TCE produces a folate deficiency does not explain altered gene expression patterns in the embryonic mouse heart.

Table 1.

Sequences of the primers used for realtime PCR

Gene GenBank Primer Sequence (5′-3′)
β-actin NM_007393 440F CCAGATCATGTTTGAGACCTTCAA
526R GTGGTACGACCAGAGGCATACA
Ryr2 NM_023868 4676F ACCAAGCCAGATTACAGCACAG
4899R ACCGTCACTGTGCGCACTC
NCX NM_011406 1923F TCGATGACGAGGAGTATGAGAA
2031R CCACCAAGCTCATTCAACAA
ErbB4 NM_010154 431F AACAGCAGTACCGAGCCTTG
530R AAGGAGAGGTCCCGGTTG
Sumo1 NM_009460 803F TGCTTCACTCCTGGACTGTG
1003R TCTCTCCAGTGAAGCCACCT
INSR NM_010568 1138F AAAGTTTGCCCAACCATCTG
1359R GTGAAGGTCTTGGCAGAAGC
GATA3 NM_00809l 246F GTGGTCACACTCGGATTCCT
435R GCAAAAAGGAGGGTTTAGGG
Cubn NM_1081084 5921F GAAGGGGATTCCTTCTGG
6029R AGGGGTGTCTCCTGTCAC
Gstp2 NM_181796 190F AGCCCACTTGTCTGTATGG
425R AGGGCCTTCACGTAGTCAT

Table 2. Physical outcomes of Day 10 embryos.

Results from gross examination of every embryo removed from the dam are reported. Non-exposed controls (CTL) and 10ppb TCE exposed (TCE) embryos are sub-categorized into 0mg/kg (0CTL and 0TCE), 2mg/kg (2CTL and 2TCE), and 8mg/kg folate (8 CTL and 8TCE) groups. Developmental staging was according to Kaufman, 1992. Reabsorptions indicate empty amniotic sacs and false pregnancy denote no pregnancy development in any way. The amount of embryos are shown on a per litter basis (n) and by the percent of embryos compared to the overall total per treatment group (%).

control water 10ppb TCE water
0mg folate 2mg folate 8mg folate 0mg folate 2mg folate 8mg folate
viable embryos 130 75 94 102 89 102
litters 22 9 11 17 13 17
False Pregnancy [n (%)] 0.18 (3.08) 0.22 (2.67) 0.18 (2.13) 0.24 (3.92) 0.08 (1.12) 0.11 (1.96)
Reabsorptions/Abortions [n (%)] 1.64 (27.69) 1.78 (21.33) 2.27 (26.60) 1.29 (21.33) 1.08 (15.73) 0.94 (16.67)
Under-development [n (%)] 0.77 (13.08) 0.67 (8.0) 0.82 (9.57) 0.35 (5.88) 1.08 (15.73) 0.50 (8.82)
Normal development [n (%)] 3.18 (53.85) 5.67 (68.0) 5.09 (59.57) 4.12 (68.63) 4.54 (66.29) 4.0 (70.59)

n = per litter basis

% = percent of total embryos

Table 3. Calcium pathway.

A) Over and B) under expressed genes involved in the calcium signaling pathway. Each column as described in Table 3.

Calcium Pathway
Over-Expressed
1 2 3 4 5 6 7
Sequence ID Gene ID Description 0 CTL v 0 TCE 2 CTL v 2 TCE 8 CTL v 8 TCE 2 TCE v 0 TCE 2 TCE v 8 TCE 2 CTL v 0 CTL 2 CTL v 8 CTL
ENSMUST105420 Adora2a adenosine A2a receptor
NM_009781 Cacna1c calcium channel
NM_009783 Cacna1g calcium channel
ENSMUST31093 Cckar cholecystokinin A receptor
NM_203491 Chrm2 cholinergic receptor
ENSMUST81091 Erbb4 v-erb-a erythroblastic leukemia viral oncogene homolog 4
ENSMUST106091 Gjb3 gap junction membrane channel protein beta 3
NM_010305 Gnai1 guanine nucleotide binding protein
NM_008170 Grin2a glutamate receptor
NM_001081414 Grm5 glutamate receptor
NM_001012306 Hsd3b3 hydroxy-delta-5-steroid dehydrogenase
NM_010568 Insr insulin receptor
NM_010585 Itpr1 inositol 1
NM_019923 Itpr2 inositol 1
ENSMUST72460 Mef2a myocyte enhancer factor 2A
NM_011058 Pdgfra platelet derived growth factor receptor
NM_008809 Pdgfrb platelet derived growth factor receptor
NM_001077495 Pik3r1 phosphatidylinositol 3-kinase
NM_013829 Plcb4 phospholipase C
NM_019588 Plce1 phospholipase C
ENSMUST27997 Rgs5 regulator of G-protein signaling 5
NM_023868 Ryr2 ryanodine receptor 2
NM_177652 Ryr3 ryanodine receptor 3
ENSMUST57311 Sfn stratifin
NM_011406 Slc8a1 solute carrier family 8 (sodium/calcium exchanger)
NM_001081011 Srgap2 SLIT-ROBO Rho GTPase activating protein 2
NM_018753 Ywhab tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein
Under-expressed
1 2 3 4 5 6 7
Sequence ID Gene ID Description 0 CTL v 0 TCE 2 CTL v 2 TCE 8 CTL v 8 TCE 2 TCE v 0 TCE 2 TCE v 8 TCE 2 CTL v 0 CTL 2 CTL v 8 CTL
ENSMUST114913 Adcy5 adenylate cyclase 5
ENSMUST109749 Akt1 thymoma viral proto-oncogene 1
NM_009721 Atp1b1 ATPase
NM_213616 Atp2b4 ATPase
NM_021415 Cacna1h calcium channel
ENSMUST32409 Camk1 calcium/calmodulin-dependent protein kinase I
ENSMUST29454 Casq2 calsequestrin 2
ENSMUST87104 Cdkl5 cyclin-dependent kinase-like 5
NM_203491 Chrm2 cholinergic receptor
ENSMUST22718 Ednrb endothelin receptor type B
NM_001003817 Erbb2 v-erb-b2 erythroblastic leukemia viral oncogene homolog 2
ENSMUST81091 Erbb4 v-erb-a erythroblastic leukemia viral oncogene homolog 4
ENSMUST59193 F2r coagulation factor II (thrombin) receptor
ENSMUST106091 Gjb3 gap junction membrane channel protein beta 3
NM_010305 Gnai1 guanine nucleotide binding protein
NM_008139 Gnaq guanine nucleotide binding protein
NM_010312 Gnb2 guanine nucleotide binding protein
NM_138719 Gnb5 guanine nucleotide binding protein
NM_025331 Gng11 guanine nucleotide binding protein
NM_010318 Gng5 guanine nucleotide binding protein
NM_010568 Insr insulin receptor
NM_001081175 Itpkb inositol 1
NM_019923 Itpr2 inositol 1
NM_010605 Kcnj5 potassium inwardly-rectifying channel
ENSMUST24916 Lhcgr luteinizing hormone/choriogonadotropin receptor
BC040217 Mef2d myocyte enhancer factor 2D
ENSMUST35800 Nfatc1 nuclear factor of activated T-cells
ENSMUST33086 Phkg2 phosphorylase kinase
NM_013829 Plcb4 phospholipase C
NM_019676 Plcd1 phospholipase C
NM_019588 Plce1 phospholipase C
NM_024459 Ppp3r1 protein phosphatase 3
NM_008854 Prkaca protein kinase
NM_008855 Prkcb1 protein kinase C
ENSMUST97275 Prkce protein kinase C
NM_008856 Prkch protein kinase C
ENSMUST27603 Rgs18 regulator of G-protein signaling 18
NM_019769 Rik RIKEN cDNA 1500003O03 gene
NM_023868 Ryr2 ryanodine receptor 2
NM_011406 Slc8a1 solute carrier family 8 (sodium/calcium exchanger)
ENSMUST9036 Vdac3 voltage-dependent anion channel 3
NM_018753 Ywhab tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein
NM_011739 Ywhaq tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein

Table 4. Ion channel pathway.

A) Over and B) under expressed genes involved in the ion channel signaling pathway. Each column as described in Table 3.

Ion Channel Pathway
Over-Expressed
1 2 3 4 5 6 7
Sequence ID Gene ID Description 0 CTL v 0 TCE 2 CTL v 2 TCE 8 CTL v 8 TCE 2 TCE v 0 TCE 2 TCE v 8 TCE 2 CTL v 0 CTL 2 CTL v 8 CTL
NM_009781 Cacna1c calcium channel
NM_009783 Cacna1g calcium channel
NM_009784 Cacna2d1 calcium channel
NM_007582 Cacng1 calcium channel
BC051033 Fxyd3 FXYD domain-containing ion transport regulator 3
NM_146017 Gabrp gamma-aminobutyric acid receptor
ENSMUST76349 Gria3 glutamate receptor
NM_008170 Grin2a glutamate receptor
ENSMUST72602 Hvcn1 hydrogen voltage-gated channel 1
NM_010585 Itpr1 inositol 1
NM_019923 Itpr2 inositol 1
NM_010597 Kcnab1 potassium voltage-gated channel
NM_134110 Kcne2 potassium voltage-gated channel
NM_020574 Kcne3 potassium voltage-gated channel
NM_010603 Kcnj12 potassium inwardly-rectifying channel
ENSMUST46765 Kcnk1 potassium channel
NM_008431 Kcnk4 potassium channel
NM_023872 Kcnq5 potassium voltage-gated channel
NM_173417 Kcns3 potassium voltage-gated channel
ENSMUST39450 Mcoln3 mucolipin 3
NM_023868 Ryr2 ryanodine receptor 2
NM_001099298 Scn2a1 sodium channel
NM_153417 Trpm6 transient receptor potential cation channel
ENSMUST103224 Trpm7 transient receptor potential cation channel
NM_022413 Trpv6 transient receptor potential cation channel
Under-expressed
1 2 3 4 5 6 7
Sequence ID Gene ID Description 0 CTL v 0 TCE 2 CTL v 2 TCE 8 CTL v 8 TCE 2 TCE v 0 TCE 2 TCE v 8 TCE 2 CTL v 0 CTL 2 CTL v 8 CTL
ENSMUST49346 Accn3 amiloride-sensitive cation channel 3
NM_021415 Cacna1h calcium channel
NM_009784 Cacna2d1 calcium channel
NM_023116 Cacnb2 calcium channel
NM_001037099 Cacnb4 calcium channel
ENSMUST45706 Cftr cystic fibrosis transmembrane conductance regulator homolog
ENSMUST71697 Fxyd1 FXYD domain-containing ion transport regulator 1
BC031112 Fxyd5 FXYD domain-containing ion transport regulator 5
NM_008070 Gabrb2 gamma-aminobutyric acid (GABA-A) receptor
NM_146017 Gabrp gamma-aminobutyric acid (GABA-A) receptor
NM_019923 Itpr2 inositol 1
NM_145983 Kcna5 potassium voltage-gated channel
NM_008424 Kcne1 potassium voltage-gated channel
NM_020574 Kcne3 potassium voltage-gated channel
NM_010600 Kcnh1 potassium voltage-gated channel
NM_013569 Kcnh2 potassium voltage-gated channel
ENSMUST39366 Kcnh8 potassium voltage-gated channel
NM_145963 Kcnj14 potassium inwardly-rectifying channel
NM_010604 Kcnj16 potassium inwardly-rectifying channel
ENSMUST42970 Kcnj2 potassium inwardly-rectifying channel
NM_010605 Kcnj5 potassium inwardly-rectifying channel
NM_001033876 Kcnk9 potassium channel
NM_010610 Kcnma1 potassium large conductance calcium-activated channel
NM_031169 Kcnmb1 potassium large conductance calcium-activated channel
NM_080465 Kcnn2 potassium intermediate/small conductance calcium-activated channel
NM_023872 Kcnq5 potassium voltage-gated channel
ENSMUST22272 Kctd6 potassium channel tetramerisation domain containing 6
ENSMUST67951 Kctd9 potassium channel tetramerisation domain containing 9
ENSMUST23509 Klhl24 kelch-like 24 (Drosophila
ENSMUST39450 Mcoln3 mucolipin 3
NM_177755 Rik RIKEN cDNA 8230402K04 gene
NM_023868 Ryr2 ryanodine receptor 2
BC039140 Scn1b sodium channel
NM_001099298 Scn2a1 sodium channel
NM_018732 Scn3a sodium channel
NM_013838 Trpc6 transient receptor potential cation channel
ENSMUST103224 Trpm7 transient receptor potential cation channel
ENSMUST9036 Vdac3 voltage-dependent anion channel 3

Table 5. Cell cycle pathway.

A) Over and B) under expressed genes involved in the cell cycle pathway. Each column as described in Table 3.

Cell Cycle Pathway
Over-Expressed
1 2 3 4 5 6 7
Sequence ID Gene ID Description 0 CTL v 0 TCE 2 CTL v 2 TCE 8 CTL v 8 TCE 2 TCE v 0 TCE 2 TCE v 8 TCE 2 CTL v 0 CTL 2 CTL v 8 CTL
BC028526 Anapc13 anaphase promoting complex subunit 13
ENSMUST79362 Apc adenomatosis polyposis coli
ENSMUST37440 Atm ataxia telangiectasia mutated homolog (human)
ENSMUST86248 Aurkc aurora kinase C
ENSMUST74077 Bmp4 bone morphogenetic protein 4
NM_007561 Bmpr2 bone morphogenic protein receptor
ENSMUST107228 Brca1 breast cancer 1
ENSMUST44620 Brca2 breast cancer 2
ENSMUST93517 Casp3 caspase 3
NM_001081062 Ccno cyclin O
BC005775 Cdc26 cell division cycle 26
ENSMUST42410 Cdk6 cyclin-dependent kinase 6
ENSMUST22009 Cetn3 centrin 3
ENSMUST75853 Cks2 CDC28 protein kinase regulatory subunit 2
ENSMUST49404 Clasp1 CLIP associating protein 1
ENSMUST35089 Clasp2 CLIP associating protein 2
ENSMUST6293 Crkl v-crk sarcoma virus CT10 oncogene homolog (avian)-like
ENSMUST5841 Ctcf CCCTC-binding factor
ENSMUST31697 Cul1 cullin 1
ENSMUST26475 Ddit3 DNA-damage inducible transcript 3
AF396877 Dst dystonin
NM_013507 Eif4g2 eukaryotic translation initiation factor 4
ENSMUST81091 Erbb4 v-erb-a erythroblastic leukemia viral oncogene homolog 4 (avian)
BC048734 Fgf8 fibroblast growth factor 8
ENSMUST9777 G0s2 G0/G1 switch gene 2
ENSMUST43098 Gadd45a growth arrest and DNA-damage-inducible 45 alpha
ENSMUST32129 Gkn1 gastrokine 1
ENSMUST21729 Gpr132 G protein-coupled receptor 132
ENSMUST57884 Gps2 G protein pathway suppressor 2
ENSMUST23507 Gsk3b glycogen synthase kinase 3 beta
ENSMUST80030 Gspt1 G1 to S phase transition 1
ENSMUST38777 Hipk2 homeodomain interacting protein kinase 2
ENSMUST28882 Il1a interleukin 1 alpha
ENSMUST12587 Kif11 kinesin family member 11
U67204 Macf1 microtubule-actin crosslinking factor 1
ENSMUST4986 Mapk13 mitogen activated protein kinase 13
NM_134092 Mtbp Mdm2
ENSMUST52965 Nipbl Nipped-B homolog (Drosophila)
NM_010151 Nr2f1 nuclear receptor subfamily 2
ENSMUST78259 Nsl1 NSL1
ENSMUST25204 Pfdn1 prefoldin 1
ENSMUST18361 Pmp22 peripheral myelin protein
ENSMUST101534 Ptn pleiotrophin
ENSMUST49009 Rad9b RAD9 homolog B (S. cerevisiae)
ENSMUST28814 Rassf2 Ras association (RalGDS/AF-6) domain family 2
ENSMUST35842 Rassf4 Ras association (RalGDS/AF-6) domain family 4
ENSMUST22701 Rb1 retinoblastoma 1
ENSMUST29170 Rbl1 retinoblastoma-like 1 (p107)
ENSMUST34091 Rbl2 retinoblastoma-like 2
ENSMUST102864 Rel reticuloendotheliosis oncogene
NM_175238 Rif1 Rap 1 interacting factor 1 homolog (yeast)
ENSMUST73926 Rps12 ribosomal protein S12
ENSMUST27495 Sept2 septin 2
ENSMUST23095 Sept3 septin 3
ENSMUST30724 Sesn2 sestrin 2
ENSMUST57311 Sfn stratifin
BC086683 Spc24 SPC24
NM_001081008 Taf1 TAF1 RNA polymerase II
ENSMUST45288 Tgfb2 transforming growth factor
NM_172664 Tlk1 tousled-like kinase 1
AB020317 Trp53 transformation related protein 53
ENSMUST71648 Vegfa vascular endothelial growth factor A
Under-expressed
1 2 3 4 5 6 7
Sequence ID Gene ID Description 0 CTL v 0 TCE 2 CTL v 2 TCE 8 CTL v 8 TCE 2 TCE v 0 TCE 2 TCE v 8 TCE 2 CTL v 0 CTL 2 CTL v 8 CTL
BC028526 Anapc13 anaphase promoting complex subunit 13
ENSMUST25561 Anxa1 annexin A1
NM_009686 Apbb2 amyloid beta (A4) precursor protein-binding
ENSMUST29842 Bcl10 B-cell leukemia/lymphoma 10
AF271733 Bin3 bridging integrator 3
ENSMUST28836 Bmp2 bone morphogenetic protein 2
NM_007561 Bmpr2 bone morphogenic protein receptor
BC061001 Bmyc brain expressed myelocytomatosis oncogene
NM_009770 Btg3 B-cell translocation gene 3
NM_021550 C1galt1c1 C1GALT1-specific chaperone 1
BC052789 Cables2 Cdk5 and Abl enzyme substrate 2
ENSMUST93517 Casp3 caspase 3
ENSMUST48192 Ccdc5 coiled-coil domain containing 5
BC085238 Ccnb1 cyclin B1
BC060180 Ccng2 cyclin G2
ENSMUST114077 Ccnyl1 cyclin Y-like 1
BC005775 Cdc26 cell division cycle 26
ENSMUST50148 Cdc37l1 cell division cycle 37 homolog (S. cerevisiae)-like 1
BC003893 Cdc5l cell division cycle 5-like (S. pombe)
ENSMUST42410 Cdk6 cyclin-dependent kinase 6
ENSMUST23829 Cdkn1a cyclin-dependent kinase inhibitor 1A (P21)
ENSMUST3115 Cdkn1b cyclin-dependent kinase inhibitor 1B
BC049694 Cdkn3 cyclin-dependent kinase inhibitor 3
ENSMUST22009 Cetn3 centrin 3
ENSMUST68532 Cgrrf1 cell growth regulator with ring finger domain 1
ENSMUST29679 Cks1b CDC28 protein kinase 1b
ENSMUST75853 Cks2 CDC28 protein kinase regulatory subunit 2
ENSMUST27050 Cops5 COP9 (constitutive photomorphogenic) homolog
ENSMUST17920 Crk v-crk sarcoma virus CT10 oncogene homolog (avian)
ENSMUST4478 Cul3 cullin 3
NM_027545 Cwf19l2 CWF19-like 2
ENSMUST103129 Dsn1 DSN1
ENSMUST103145 E2f1 E2F transcription factor 1
AY957576 E2f8 E2F transcription factor 8
ENSMUST1757 Eef1e1 eukaryotic translation elongation factor 1 epsilon 1
NM_001003817 Erbb2 v-erb-b2 erythroblastic leukemia viral oncogene homolog 2
ENSMUST81091 Erbb4 v-erb-a erythroblastic leukemia viral oncogene homolog 4 (avian)
NM_007951 Erh enhancer of rudimentary homolog (Drosophila)
NM_011809 Ets2 E26 avian leukemia oncogene 2
ENSMUST81028 Etv6 ets variant gene 6 (TEL oncogene)
NM_001033244 Fancd2 Fanconi anemia
ENSMUST19907 Fbxo5 F-box protein 5
ENSMUST187 Fgf6 fibroblast growth factor 6
ENSMUST62292 Foxc1 forkhead box C1
ENSMUST15456 Gadd45b growth arrest and DNA-damage-inducible 45 beta
ENSMUST32129 Gkn1 gastrokine 1
NM_008179 Gspt2 G1 to S phase transition 2
ENSMUST34026 Hpgd hydroxyprostaglandin dehydrogenase 15 (NAD)
BC024581 Hrasls3 HRAS like suppressor 3
ENSMUST65537 Jmy junction-mediating and regulatory protein
ENSMUST103032 Llgl2 lethal giant larvae homolog 2 (Drosophila)
NM_010755 Maff v-maf musculoaponeurotic fibrosarcoma oncogene family
ENSMUST25078 Map3k8 mitogen activated protein kinase kinase kinase 8
ENSMUST88827 Mapk12 mitogen-activated protein kinase 12
ENSMUST57669 Mapk3 mitogen activated protein kinase 3
NM_133350 Mapre3 microtubule-associated protein
ENSMUST34303 Mphosph6 M phase phosphoprotein 6
NM_134092 Mtbp Mdm2
ENSMUST22971 Myc myelocytomatosis oncogene
NM_144931 Nae1 NEDD8 activating enzyme E1 subunit 1
NM_133762 Ncapg2 non-SMC condensin II complex
ENSMUST35800 Nfatc1 nuclear factor of activated T-cells
NM_010151 Nr2f1 nuclear receptor subfamily 2
NM_001024622 Pcnp PEST proteolytic signal containing nuclear protein
ENSMUST25204 Pfdn1 prefoldin 1
ENSMUST36374 Phb prohibitin
ENSMUST34689 Pin1 protein (peptidyl-prolyl cis/trans isomerase) NIMA-interacting 1
ENSMUST56370 Pmf1 polyamine-modulated factor 1
NM_198600 Pols polymerase (DNA directed) sigma
NM_008014 Ppm1g protein phosphatase 1G (formerly 2C)
NM_024209 Ppp6c protein phosphatase 6
ENSMUST20685 Pttg1 pituitary tumor-transforming 1
ENSMUST22136 Rad17 RAD17 homolog (S. pombe)
ENSMUST20649 Rad50 RAD50 homolog (S. cerevisiae)
ENSMUST90678 Rap1a RAS-related protein-1a
ENSMUST22701 Rb1 retinoblastoma 1
ENSMUST27040 Rb1cc1 RB1-inducible coiled-coil 1
ENSMUST102598 Rbbp4 retinoblastoma binding protein 4
ENSMUST34091 Rbl2 retinoblastoma-like 2
BC051473 Rbx1 ring-box 1
ENSMUST84250 Rcc1 regulator of chromosome condensation 1
NM_007483 Rhob ras homolog gene family
NM_028228 Rik RIKEN cDNA 2610028A01 gene
ENSMUST73926 Rps12 ribosomal protein S12
NM_009101 Rras Harvey rat sarcoma oncogene
BC010774 S100a6 S100 calcium binding protein A6 (calcyclin)
ENSMUST23457 Senp5 SUMO/sentrin specific peptidase 5
ENSMUST30724 Sesn2 sestrin 2
BC086683 Spc24 SPC24
NM_001005370 Spin2 spindlin family
ENSMUST29448 Sycp1 synaptonemal complex protein 1
ENSMUST11258 Tbrg1 transforming growth factor beta regulated gene 1
ENSMUST2678 Tgfb1 transforming growth factor
ENSMUST39562 Trim13 tripartite motif protein 13
NM_021884 Tsg101 tumor susceptibility gene 101
ENSMUST25914 Vegfb vascular endothelial growth factor B
ENSMUST21985 Zfp369 zinc finger protein 369

Table 6. Apoptosis pathway.

A) Over and B) under expressed genes involved in the apoptosis pathway. Each column as described in Table 3.

Apoptosis Pathway
Over-expressed
1 2 3 4 5 6 7
Sequence ID Gene ID Description 0 CTL v 0 TCE 2 CTL v 2 TCE 8 CTL v 8 TCE 2 TCE v 0 TCE 2 TCE v 8 TCE 2 CTL v 0 CTL 2 CTL v 8 CTL
ENSMUST103020 Aatk apoptosis-associated tyrosine kinase
NM 007536 Bcl2a1d B-cell leukemia/lymphoma 2 related protein A1d
ENSMUST115094 Birc4 baculoviral IAP repeat-containing 4
ENSMUST107228 Brca1 breast cancer 1
ENSMUST31895 Casp2 caspase 2
ENSMUST93517 Casp3 caspase 3
NM 001042605 Cd74 CD74 antigen (invariant polypeptide of major histocompatibility complex
ENSMUST46506 Clcf1 cardiotrophin-like cytokine factor 1
ENSMUST53594 Cradd CASP2 and RIPK1 domain containing adaptor with death domain
ENSMUST31697 Cul1 cullin 1
BC092213 Cycs cytochrome c
ENSMUST26475 Ddit3 DNA-damage inducible transcript 3
ENSMUST37907 Ddx58 DEAD (Asp-Glu-Ala-Asp) box polypeptide 58
ENSMUST84488 Dock1 dedicator of cyto-kinesis 1
ENSMUST39516 Egln3 EGL nine homolog 3 (C. elegans)
ENSMUST27066 Eya1 eyes absent 1 homolog (Drosophila)
ENSMUST25691 Fas Fas (TNF receptor superfamily member 6)
NM 010185 Fcer1g Fc receptor
BC048734 Fgf8 fibroblast growth factor 8
ENSMUST57884 Gps2 G protein pathway suppressor 2
ENSMUST23507 Gsk3b glycogen synthase kinase 3 beta
ENSMUST30683 Hgf hepatocyte growth factor
ENSMUST38777 Hipk2 homeodomain interacting protein kinase 2
NM 010478 Hspa1b heat shock protein 1B
NM 010414 Htt huntingtin
ENSMUST20702 Igfbp3 insulin-like growth factor binding protein 3
ENSMUST102786 Itgb3bp integrin beta 3 binding protein (beta3-endonexin)
ENSMUST49248 Malt1 mucosa associated lymphoid tissue lymphoma translocation gene 1
ENSMUST95806 Map3k5 mitogen activated protein kinase kinase kinase 5
ENSMUST67429 Mdm4 transformed mouse 3T3 cell double minute 4
AK018196 Mitf microphthalmia-associated transcription factor
ENSMUST28288 Notch1 Notch gene homolog 1 (Drosophila)
ENSMUST30154 Nudt2 nudix (nucleoside diphosphate linked moiety X)-type motif 2
ENSMUST51209 Peg3 paternally expressed 3
ENSMUST32573 Pglyrp1 peptidoglycan recognition protein 1
NM 001077495 Pik3r1 phosphatidylinositol 3-kinase
NM 011159 Prkdc protein kinase
AK083198 Prlr prolactin receptor
ENSMUST59507 Purb purine rich element binding protein B
ENSMUST6851 Qrich1 glutamine-rich 1
ENSMUST22034 Rasa1 RAS p21 protein activator 1
NM 011279 Rnf7 ring finger protein 7
ENSMUST115866 Rock1 Rho-associated coiled-coil containing protein kinase 1
ENSMUST102843 Rtn4 reticulon 4
ENSMUST101118 Rybp RING1 and YY1 binding protein
NM 001099298 Scn2a1 sodium channel
ENSMUST21728 Siva1 SIVA1
NM 011434 Sod1 superoxide dismutase 1
ENSMUST49931 Spn sialophorin
ENSMUST112747 Spp1 secreted phosphoprotein 1
XM 915205 Syngap1 synaptic Ras GTPase activating protein 1 homolog
ENSMUST45288 Tgfb2 transforming growth factor
ENSMUST95753 Tia1 cytotoxic granule-associated RNA binding protein 1
NM 178931 Tnfrsf14 tumor necrosis factor receptor superfamily
NM 026654 Toe1 target of EGR1
AF357400 Tpt1 tumor protein
ENSMUST40312 Trib3 tribbles homolog 3 (Drosophila)
AB020317 Trp53 transformation related protein 53
ENSMUST40231 Trp63 transformation related protein 63
ENSMUST106236 Unc5c unc-5 homolog C (C. elegans)
ENSMUST71648 Vegfa vascular endothelial growth factor A
ENSMUST21937 Zfp346 zinc finger protein 346
Under-expressed
1 2 3 4 5 6 7
Sequence ID Gene ID Description 0 CTL v 0 TCE 2 CTL v 2 TCE 8 CTL v 8 TCE 2 TCE v 0 TCE 2 TCE v 8 TCE 2 CTL v 0 CTL 2 CTL v 8 CTL
NM 001033369 Acvr1c activin A receptor
ENSMUST109749 Akt1 thymoma viral proto-oncogene 1
NM 013467 Aldh1a1 aldehyde dehydrogenase family 1
ENSMUST329 Alox12 arachidonate 12-lipoxygenase
NM 009686 Apbb2 amyloid beta (A4) precursor protein-binding
ENSMUST6828 Aplp1 amyloid beta (A4) precursor-like protein 1
ENSMUST3066 Apoe apolipoprotein E
ENSMUST96119 Asah2 N-acylsphingosine amidohydrolase 2
NM 022305 B4galt1 UDP-Gal:betaGlcNAc beta 1
ENSMUST108089 Bag1 Bcl2-associated athanogene 1
ENSMUST54636 Bag5 BCL2-associated athanogene 5
ENSMUST33093 Bax Bcl2-associated X protein
ENSMUST2091 Bcap31 B-cell receptor-associated protein 31
ENSMUST29842 Bcl10 B-cell leukemia/lymphoma 10
ENSMUST66460 Bcl2a1c B-cell leukemia/lymphoma 2 related protein A1c
ENSMUST22806 Bcl2l2 Bcl2-like 2
ENSMUST115094 Birc4 baculoviral IAP repeat-containing 4
NM 172149 Bnip1 BCL2/adenovirus E1B interacting protein 1
NM 009760 Bnip3 BCL2/adenovirus E1B interacting protein 1
ENSMUST27499 Bok Bcl-2-related ovarian killer protein
NM 175362 Card11 caspase recruitment domain family
ENSMUST93517 Casp3 caspase 3
ENSMUST29626 Casp6 caspase 6
ENSMUST26062 Casp7 caspase 7
BC055070 Ccl2 chemokine (C-C motif) ligand 2
NM 001042605 Cd74 CD74 antigen (invariant polypeptide of major histocompatibility complex
ENSMUST23829 Cdkn1a cyclin-dependent kinase inhibitor 1A (P21)
NM 009883 Cebpb CCAAT/enhancer binding protein
ENSMUST34233 Ciapin1 cytokine induced apoptosis inhibitor 1
NM 007702 Cidea cell death-inducing DNA fragmentation factor
ENSMUST59091 Clca1 chloride channel calcium activated 1
NM 025680 Ctnnbl1 catenin
BC092213 Cycs cytochrome c
ENSMUST111530 Dad1 defender against cell death 1
NM 022994 Dap3 death associated protein 3
ENSMUST37907 Ddx58 DEAD (Asp-Glu-Ala-Asp) box polypeptide 58
BC024780 Diablo diablo homolog (Drosophila)
ENSMUST103145 E2f1 E2F transcription factor 1
ENSMUST55990 Eef1a2 eukaryotic translation elongation factor 1 alpha 2
ENSMUST1757 Eef1e1 eukaryotic translation elongation factor 1 epsilon 1
ENSMUST39516 Egln3 EGL nine homolog 3 (C. elegans)
ENSMUST27066 Eya1 eyes absent 1 homolog (Drosophila)
ENSMUST33394 Fadd Fas (TNFRSF6)-associated via death domain
ENSMUST35038 Faim Fas apoptotic inhibitory molecule
ENSMUST25691 Fas Fas (TNF receptor superfamily member 6)
ENSMUST73152 Fastkd1 FAST kinase domains 1
ENSMUST27103 Fastkd2 FAST kinase domains 2
ENSMUST19198 Fis1 fission 1 (mitochondrial outer membrane) homolog (yeast)
ENSMUST75491 Fkbp8 FK506 binding protein 8
ENSMUST15456 Gadd45b growth arrest and DNA-damage-inducible 45 beta
NM 010295 Gclc glutamate-cysteine ligase
NM 008129 Gclm glutamate-cysteine ligase
AK005055 Glo1 glyoxalase 1
ENSMUST82429 Gpx1 glutathione peroxidase 1
XM_001478151 Hbxip hepatitis B virus × interacting protein
ENSMUST28600 Hipk3 homeodomain interacting protein kinase 3
ENSMUST26572 Hras1 Harvey rat sarcoma virus oncogene 1
NM 010478 Hspa1b heat shock protein 1B
ENSMUST89645 Htra2 HtrA serine peptidase 2
ENSMUST20702 Igfbp3 insulin-like growth factor binding protein 3
ENSMUST889 Il4 interleukin 4
ENSMUST102786 Itgb3bp integrin beta 3 binding protein (beta3-endonexin)
ENSMUST47616 Jmjd6 jumonji domain containing 6
ENSMUST65537 Jmy junction-mediating and regulatory protein
NM 023788 Mageh1 melanoma antigen
AK018196 Mitf microphthalmia-associated transcription factor
ENSMUST22971 Myc myelocytomatosis oncogene
NM 144931 Nae1 NEDD8 activating enzyme E1 subunit 1
NM 023312 Ndufa13 NADH dehydrogenase (ubiquinone) 1 alpha subcomplex
ENSMUST5647 Ndufs3 NADH dehydrogenase (ubiquinone) Fe-S protein 3
NM 010910 Nefl neurofilament
ENSMUST53540 Ngfrap1 nerve growth factor receptor (TNFRSF16) associated protein 1
ENSMUST28288 Notch1 Notch gene homolog 1 (Drosophila)
ENSMUST23779 Nr4a1 nuclear receptor subfamily 4
ENSMUST21284 Ntn1 netrin 1
NM 028778 Nuak2 NUAK family
ENSMUST30154 Nudt2 nudix (nucleoside diphosphate linked moiety X)-type motif 2
ENSMUST57195 Nup62 nucleoporin 62
NM 001081170 Pacs2 phosphofurin acidic cluster sorting protein 2
ENSMUST29424 Pdcd10 programmed cell death 10
ENSMUST32577 Pdcd5 programmed cell death 5
ENSMUST22060 Pdcd6 programmed cell death 6
ENSMUST27247 Pdcl3 phosducin-like 3
NM 022032 Perp PERP
NM 009344 Phlda1 pleckstrin homology-like domain
ENSMUST34296 Pik3r2 phosphatidylinositol 3-kinase
ENSMUST98513 Plekhf1 pleckstrin homology domain containing
ENSMUST14578 Plg plasminogen
ENSMUST33938 Polb polymerase (DNA directed)
ENSMUST27373 Ppm1f protein phosphatase 1F (PP2C domain containing)
NM 001010836 Ppp1r13l protein phosphatase 1
BC002034 Prdx2 peroxiredoxin 2
NM 011159 Prkdc protein kinase
NM 011871 Prkra protein kinase
ENSMUST59507 Purb purine rich element binding protein B
ENSMUST27040 Rb1cc1 RB1-inducible coiled-coil 1
NM 007483 Rhob ras homolog gene family
NM 026443 Rik RIKEN cDNA 1700020C11 gene
BC051541 Rik RIKEN cDNA 2600009E05 gene
BC025611 Ripk2 receptor (TNFRSF)-interacting serine-threonine kinase 2
NM 019955 Ripk3 receptor-interacting serine-threonine kinase 3
AK220529 Rnf130 ring finger protein 130
NM 011279 Rnf7 ring finger protein 7
ENSMUST30399 Rragc Ras-related GTP binding C
ENSMUST101118 Rybp RING1 and YY1 binding protein
ENSMUST78481 Scin scinderin
NM 001099298 Scn2a1 sodium channel
ENSMUST21728 Siva1 SIVA1
NM 026404 Slc35a4 solute carrier family 35
ENSMUST25997 Smndc1 survival motor neuron domain containing 1
ENSMUST56150 Snrk SNF related kinase
ENSMUST102774 Sqstm1 sequestosome 1
ENSMUST27263 Stk17b serine/threonine kinase 17b (apoptosis-inducing)
ENSMUST88585 Sulf1 sulfatase 1
XM 915205 Syngap 1 synaptic Ras GTPase activating protein 1 homolog (rat)
ENSMUST18407 Tbx5 T-box 5
NM 025780 Thap2 THAP domain containing
NM 153552 Thoc1 THO complex 1
ENSMUST102793 Tm2d1 TM2 domain containing 1
ENSMUST19997 Tnfaip3 tumor necrosis factor
NM 134131 Tnfaip8 tumor necrosis factor
NM 011609 Tnfrsf1a tumor necrosis factor receptor superfamily
NM 026654 Toe1 target of EGR1
ENSMUST21471 Txndc1 thioredoxin domain containing 1
ENSMUST50183 Uaca uveal autoantigen with coiled-coil domains and ankyrin repeats

Acknowledgements

We thank the Genomics Facility Core, especially Candace Clark and Jose Munoz-Rodriguez, and the Bioinformatics Service, especially David Mount, of the Southwest Environmental Health Sciences Center and Arizona Cancer Center at the University of Arizona for carrying out the microarray hybridization and data analysis. Thanks to P.A. Thorne and David Perkins for their technical assistance.

This work was supported by NIH, SBPR Program No P42ES04940 (O.S and R.R), and by NIH, NIEHS Grant No. ES06694 (SWEHSC)

References

  1. Alkuraya FS, Saadi I, Lund JJ, Turbe-Doan A, Morton CC, Maas RL. SUMO1 haploinsufficiency leads to cleft lip and palate. Science. 2006;313(5794):1751. doi: 10.1126/science.1128406. [DOI] [PubMed] [Google Scholar]
  2. Armstrong EJ, Bischoff J. Heart valve development: endothelial cell signaling and differentiation. Circ Res. 2004;95(5):459–470. doi: 10.1161/01.RES.0000141146.95728.da. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. ATSDR- Agency for Toxic Substances and Disease Registry . 2007 CERCLA Priority List of Hazardous Substances. Department of Health and Human Services; Atlanta: 2007. [Google Scholar]
  4. Botto LD, Mulinare J, Erickson JD. Do multivitamin or folic acid supplements reduce the risk for congenital heart defects? Evidence and gaps. Am J Med Genet A. 2003;121(2):95–101. doi: 10.1002/ajmg.a.20132. [DOI] [PubMed] [Google Scholar]
  5. Boyer AS, Finch WT, Runyan RB. Trichloroethylene inhibits development of embryonic heart valve precursors in vitro. Toxicol Sci. 2000;53(1):109–117. doi: 10.1093/toxsci/53.1.109. [DOI] [PubMed] [Google Scholar]
  6. Burgoon JM, Selhub J, Nadeau M, Sadler TW. Investigation of the effects of folate deficiency on embryonic development through the establishment of a folate deficient mouse model. Teratology. 2002;65(5):219–227. doi: 10.1002/tera.10040. [DOI] [PubMed] [Google Scholar]
  7. Caldwell PT, Thorne PA, Johnson PD, Boitano S, Runyan RB, Selmin O. Trichloroethylene disrupts cardiac gene expression and calcium homeostasis in rat myocytes. Toxicol Sci. 2008;104(1):135–143. doi: 10.1093/toxsci/kfn078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Clark KL, Yutzey KE, Benson DW. Transcription factors and congenital heart defects. Annu Rev Physiol. 2006;68:97–121. doi: 10.1146/annurev.physiol.68.040104.113828. [DOI] [PubMed] [Google Scholar]
  9. Cripps RM, Olson EN. Control of cardiac development by an evolutionarily conserved transcriptional network. Dev Biol. 2002;246(1):14–28. doi: 10.1006/dbio.2002.0666. [DOI] [PubMed] [Google Scholar]
  10. Dawson BV, Johnson PD, Goldberg SJ, Ulreich JB. Cardiac teratogenesis of halogenated hydrocarbon-contaminated drinking water. J Am Coll Cardiol. 1993;21(6):1466–1472. doi: 10.1016/0735-1097(93)90325-u. [DOI] [PubMed] [Google Scholar]
  11. Dow JL, Green T. Trichloroethylene induced vitamin B(12) and folate deficiency leads to increased formic acid excretion in the rat. Toxicology. 2000;146(2-3):123–136. doi: 10.1016/s0300-483x(00)00156-6. [DOI] [PubMed] [Google Scholar]
  12. Drake VJ, Koprowski SL, Hu N, Smith SM, Lough J. Cardiogenic effects of trichloroethylene and trichloroacetic acid following exposure during heart specification of avian development. Toxicol Sci. 2006a;94(1):153–162. doi: 10.1093/toxsci/kfl083. [DOI] [PubMed] [Google Scholar]
  13. Drake VJ, Koprowski SL, Lough JW, Smith SM. Gastrulating chick embryo as a model for evaluating teratogenicity: a comparison of three approaches. Birth Defects Res A Clin Mol Teratol. 2006b;76(1):66–71. doi: 10.1002/bdra.20202. [DOI] [PubMed] [Google Scholar]
  14. Forouhar AS, Liebling M, Hickerson A, Nasiraei-Moghaddam A, Tsai HJ, Hove JR, Fraser SE, Dickinson ME, Gharib M. The embryonic vertebrate heart tube is a dynamic suction pump. Science. 2006;312(5774):751–753. doi: 10.1126/science.1123775. [DOI] [PubMed] [Google Scholar]
  15. Gelineau-van Waes J, Heller S, Bauer LK, Wilberding J, Maddox JR, Aleman F, Rosenquist TH, Finnell RH. Embryonic development in the reduced folate carrier knockout mouse is modulated by maternal folate supplementation. Birth Defects Res A Clin Mol Teratol. 2008;82(7):494–507. doi: 10.1002/bdra.20453. [DOI] [PubMed] [Google Scholar]
  16. Goldberg SJ, Dawson BV, Johnson PD, Hoyme HE, Ulreich JB. Cardiac teratogenicity of dichloroethylene in a chick model. Pediatr Res. 1992;32(1):23–26. doi: 10.1203/00006450-199207000-00005. [DOI] [PubMed] [Google Scholar]
  17. Goldberg SJ, Lebowitz MD, Graver EJ, Hicks S. An association of human congenital cardiac malformations and drinking water contaminants. J Am Coll Cardiol. 1990;16(1):155–164. doi: 10.1016/0735-1097(90)90473-3. [DOI] [PubMed] [Google Scholar]
  18. Hoffmann P, Heinroth K, Richards D, Plews P, Toraason M. Depression of calcium dynamics in cardiac myocytes--a common mechanism of halogenated hydrocarbon anesthetics and solvents. J Mol Cell Cardiol. 1994;26(5):579–589. doi: 10.1006/jmcc.1994.1070. [DOI] [PubMed] [Google Scholar]
  19. Johnson PD, Dawson BV, Goldberg SJ. Cardiac teratogenicity of trichloroethylene metabolites. J Am Coll Cardiol. 1998a;32(2):540–545. doi: 10.1016/s0735-1097(98)00232-0. [DOI] [PubMed] [Google Scholar]
  20. Johnson PD, Dawson BV, Goldberg SJ. A review: trichloroethylene metabolites: potential cardiac teratogens. Environ Health Perspect. 1998b;106(Suppl 4):995–999. doi: 10.1289/ehp.98106s4995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Johnson PD, Goldberg SJ, Mays MZ, Dawson BV. Threshold of trichloroethylene contamination in maternal drinking waters affecting fetal heart development in the rat. Environ Health Perspect. 2003;111(3):289–292. doi: 10.1289/ehp.5125. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Joziasse IC, van de Smagt JJ, Smith K, Bakkers J, Sieswerda GJ, Mulder BJ, Doevendans PA. Genes in congenital heart disease: atrioventricular valve formation. Basic Res Cardiol. 2008;103(3):216–227. doi: 10.1007/s00395-008-0713-4. [DOI] [PubMed] [Google Scholar]
  23. Kaufman MH. The Atlas of the Mouse Development. Academic Press; London: 1992. [Google Scholar]
  24. Kim YI. Folate, colorectal carcinogenesis, and DNA methylation: lessons from animal studies. Environ Mol Mutagen. 2004;44(1):10–25. doi: 10.1002/em.20025. [DOI] [PubMed] [Google Scholar]
  25. Kirby M. Getting to the heart of cardiac morphogenesis. Circ Res. 2001;(88):370–372. doi: 10.1161/01.res.88.4.370. [DOI] [PubMed] [Google Scholar]
  26. Li D, Pickell L, Liu Y, Wu Q, Cohn JS, Rozen R. Maternal methylenetetrahydrofolate reductase deficiency and low dietary folate lead to adverse reproductive outcomes and congenital heart defects in mice. Am J Clin Nutr. 2005;82(1):188–195. doi: 10.1093/ajcn.82.1.188. [DOI] [PubMed] [Google Scholar]
  27. Liebling M, Forouhar AS, Wolleschensky R, Zimmermann B, Ankerhold R, Fraser SE, Gharib M, Dickinson ME. Rapid three-dimensional imaging and analysis of the beating embryonic heart reveals functional changes during development. Dev Dyn. 2006;235(11):2940–2948. doi: 10.1002/dvdy.20926. [DOI] [PubMed] [Google Scholar]
  28. Loeber CP, Hendrix MJ, Diez De Pinos S, Goldberg SJ. Trichloroethylene: a cardiac teratogen in developing chick embryos. Pediatr Res. 1988;24(6):740–744. doi: 10.1203/00006450-198812000-00018. [DOI] [PubMed] [Google Scholar]
  29. Mishima N, Hoffman S, Hill EG, Krug EL. Chick embryos exposed to trichloroethylene in an ex ovo culture model show selective defects in early endocardial cushion tissue formation. Birth Defects Res A Clin Mol Teratol. 2006;76(7):517–527. doi: 10.1002/bdra.20283. [DOI] [PubMed] [Google Scholar]
  30. Ou J, Ou Z, McCarver DG, Hines RN, Oldham KT, Ackerman AW, Pritchard KA., Jr. Trichloroethylene decreases heat shock protein 90 interactions with endothelial nitric oxide synthase: implications for endothelial cell proliferation. Toxicol Sci. 2003;73(1):90–97. doi: 10.1093/toxsci/kfg062. [DOI] [PubMed] [Google Scholar]
  31. Rosenquist TH, Ratashak SA, Selhub J. Homocysteine induces congenital defects of the heart and neural tube: effect of folic acid. Proc Natl Acad Sci U S A. 1996;93(26):15227–15232. doi: 10.1073/pnas.93.26.15227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Sahali D, Mulliez N, Chatelet F, Dupuis R, Ronco P, Verroust P. Characterization of a 280-kD protein restricted to the coated pits of the renal brush border and the epithelial cells of the yolk sac. Teratogenic effect of the specific monoclonal antibodies. J Exp Med. 1988;167(1):213–218. doi: 10.1084/jem.167.1.213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Sakanashi TM, Rogers JM, Fu SS, Connelly LE, Keen CL. Influence of maternal folate status on the developmental toxicity of methanol in the CD-1 mouse. Teratology. 1996;54(4):198–206. doi: 10.1002/(SICI)1096-9926(199610)54:4<198::AID-TERA4>3.0.CO;2-Y. [DOI] [PubMed] [Google Scholar]
  34. Selmin OI, Thorne PA, Caldwell PT, Taylor MR. Trichloroethylene and trichloroacetic acid regulate calcium signaling pathways in murine embryonal carcinoma cells p19. Cardiovasc Toxicol. 2008;8(2):47–56. doi: 10.1007/s12012-008-9014-2. [DOI] [PubMed] [Google Scholar]
  35. Shaw GM, Schulman J, Frisch JD, Cummins SK, Harris JA. Congenital malformations and birthweight in areas with potential environmental contamination. Arch Environ Health. 1992;47(2):147–154. doi: 10.1080/00039896.1992.10118769. [DOI] [PubMed] [Google Scholar]
  36. Smith BT, Mussell JC, Fleming PA, Barth JL, Spyropoulos DD, Cooley MA, Drake CJ, Argraves WS. Targeted disruption of cubilin reveals essential developmental roles in the structure and function of endoderm and in somite formation. BMC Dev Biol. 2006;6:30. doi: 10.1186/1471-213X-6-30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Song J, Medline A, Mason JB, Gallinger S, Kim YI. Effects of dietary folate on intestinal tumorigenesis in the apcMin mouse. Cancer Res. 2000;60(19):5434–5440. [PubMed] [Google Scholar]
  38. 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. 2005;203(1):18–26. doi: 10.1016/j.taap.2004.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Steinberg AD, DeSesso JM. Have animal data been used inappropriately to estimate risks to humans from environmental trichloroethylene? Regul Toxicol Pharmacol. 1993;18(2):137–153. doi: 10.1006/rtph.1993.1049. [DOI] [PubMed] [Google Scholar]
  40. Tao L, Yang S, Xie M, Kramer PM, Pereira MA. Effect of trichloroethylene and its metabolites, dichloroacetic acid and trichloroacetic acid, on the methylation and expression of c-Jun and c-Myc protooncogenes in mouse liver: prevention by methionine. Toxicol Sci. 2000a;54(2):399–407. doi: 10.1093/toxsci/54.2.399. [DOI] [PubMed] [Google Scholar]
  41. Tao L, Yang S, Xie M, Kramer PM, Pereira MA. Hypomethylation and overexpression of c-jun and c-myc protooncogenes and increased DNA methyltransferase activity in dichloroacetic and trichloroacetic acid-promoted mouse liver tumors. Cancer Lett. 2000b;158(2):185–193. doi: 10.1016/s0304-3835(00)00518-8. [DOI] [PubMed] [Google Scholar]
  42. Wagner C. Biochemical role of folate in cellular metabolism. Folate in Health and Disease. 1995:23–42. [Google Scholar]
  43. Waters EM, Gerstner HB, Huff JE. Trichloroethylene. I. An overview. J Toxicol Environ Health. 1977;2(3):671–707. doi: 10.1080/15287397709529469. [DOI] [PubMed] [Google Scholar]

RESOURCES