Toxicogenomic analysis of exposure to TCDD, PCB126 and PCB153: identification of genomic biomarkers of exposure to AhR ligands
BMC Genomics volume 11, Article number: 583 (2010)
Two year cancer bioassays conducted by the National Toxicology Program have shown chronic exposure to dioxin-like compounds (DLCs) to lead to the development of both neoplastic and non-neoplastic lesions in the hepatic tissue of female Sprague Dawley rats. Most, if not all, of the hepatotoxic effects induced by DLC's are believed to involve the binding and activation of the transcription factor, the aryl hydrocarbon receptor (AhR). Toxicogenomics was implemented to identify genomic responses that may be contributing to the development of hepatotoxicity in rats.
Through comparative analysis of time-course microarray data, unique hepatic gene expression signatures were identified for the DLCs, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) (100 ng/kg/day) and 3,3',4,4',5-pentachlorobiphenyl (PCB126) (1000 ng/kg/day) and the non-DLC 2,2',4,4',5,5',-hexachlorobiphenyl (PCB153) (1000 μg/kg/day). A common time independent signature of 41 AhR genomic biomarkers was identified which exhibited at least a 2-fold change in expression following subchronic (13-wk) and chronic (52-wk) p.o. exposure to TCDD and PCB126, but not the non DLC, PCB153. Real time qPCR analysis validated that 30 of these genes also exhibited at least a 2-fold change in hepatic expression at 24 hr following a single exposure to TCDD (5 μg/kg, po). Phenotypic anchoring was conducted which identified forty-six genes that were differently expressed both following chronic p.o. exposure to DLCs and in previously reported studies of cholangiocarcinoma or hepatocellular adenoma.
Together these analyses provide a comprehensive description of the genomic responses which occur in rat hepatic tissue with exposure to AhR ligands and will help to isolate those genomic responses which are contributing to the hepatotoxicity observed with exposure to DLCs. In addition, the time independent gene expression signature of the AhR ligands may assist in identifying other agents with the potential to elicit dioxin-like hepatotoxic responses.
Dioxin-like compounds (DLCs) such as polychlorinated biphenyls (PCBs) and polychlorinated dibenzo-p-dioxins (PCDDs) are prevalent contaminants which pose a risk to both public health and the environment. Exposure to PCBs and PCDDs has been associated with numerous adverse biological effects including reproductive toxicity, dermatotoxicity, immunotoxicity, developmental toxicity, neurotoxicity, carcinogenesis and hepatotoxicity [1–5]. The carcinogenic and hepatotoxic effects of DLCs have been shown to be gender dependent, with female rats being more susceptible than male rats . The DLCs, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and 3,3',4,4',5-pentachlorobiphenyl (PCB126); and the non-DLC 2,2',4,4',5,5',-hexachlorobiphenyl (PCB153) were investigated by the National Toxicology Program in a two-year cancer bioassay evaluating their hepatotoxic and carcinogenic properties in female Sprague-Dawley (SD) rats [4, 5, 7, 8]. Following 104 weeks of chronic p.o. exposure to TCDD (100 ng/kg/day) or PCB126 (1000 ng/kg/day), a significant and similar increase in the incidence and range of non-neoplastic and neoplastic lesions were observed in the livers of female rats (Table 1) [4, 5]. The non-neoplastic lesions included, but were not exclusive to, hepatocyte hypertrophy, pigmentation, bile duct hyperplasia, oval cell hyperplasia, fatty diffuse change, necrosis, inflammation and cholangiofibrosis. The neoplastic lesions included hepatocellular adenoma and cholangiocarcinoma. A significant increase in the incidence of 6 of these non-neoplastic lesions and no neoplastic lesions were also observed following 52 weeks of exposure to TCDD or PCB126, while only hepatocyte hypertrophy was observed following 13 weeks of exposure (Table 1). Thus, the range of hepatotoxic responses to these DLCs is directly dependent on the duration of exposure. In comparison, chronic exposure (104 weeks) to the non-DLC PCB153 (1000 μg/kg/day) only caused a significant increase in the incidence of two non-neoplastic lesions (hepatocyte hypertrophy and diffuse fatty change) and did not lead to the formation of neoplasia (Table 1) .
Most, if not all, of the hepatotoxic effects induced by DLCs are believed to involve the binding and activation of the aryl hydrocarbon receptor (AhR). Ligand activation of the AhR induces changes in gene expression and function which are believed to be the major contributing factor to the development of hepatotoxicity, carcinogenicity and other toxic responses of DLCs. DLC-induced AhR-independent genomic and cellular responses have also been reported [9, 10], however, these responses likely do not play a major role in the development of hepatotoxicity induced by DLCs. The importance of the AhR in DLC-induced toxicity has been determined in acute studies conducted with female AhR knockout mice. Toxic effects that were observed in wild type mice but were absent in AhR knockout mice, included wasting syndrome, thymic atrophy, lipid accumulation in hepatocytes (diffuse fatty change) and liver hypertrophy [11, 12]. Acute TCDD toxicity is also gender, species and strain specific. Following acute exposure to TCDD, female Sprague Dawley rats exhibit a greater down-regulation in gene expression compared to male rats . Sprague Dawley rats and C57BL/6 mice exhibit different hepatic gene expression profiles following acute TCDD exposure with rat-specific gene responses being associated with lipid metabolism and cell growth while mouse-specific responses are involved in immune function and lipid uptake/metabolism . Long-Evans rats and Han/Wistar rats exhibit a 1000-fold difference in sensitivity to acute TCDD lethality  which is attributed to a point mutation in the AhR protein of Han/Wistar rats . This suggests that the acute toxic effects of TCDD are dependent on AhR functionality, gender, species and strain, and suggest that the chronic toxic effects of DLCs are also mediated through persistent AhR activation.
Previous work from our laboratory has surveyed hepatic gene expression in response to AhR ligands and non-ligands following acute and 13 weeks of exposure, which were associated with liver hypertrophy in the absence of other hepatotoxic effects [13, 17]. Although these studies have led to a better understanding of the acute and subchronic genomic responses to DLCs, the evaluation of hepatic gene expression following chronic exposure to DLCs is needed to effectively identify genomic factors that may be contributing to the hepatotoxic effects of these toxins which are observed following 52 and 104 weeks of exposure (see Table 1). Building on previous microarray experiments, comparative analysis was conducted between microarray data from subchronic (13 weeks) and chronic (52 weeks) time-points to identify genomic biomarkers that are sustained throughout chronic exposure. Genomic biomarkers that were shared by TCDD and PCB126, but not PCB153, were further analyzed for their acute responsiveness to ascertain a subset of genes which may serve as time-independent genomic biomarkers of exposure to AhR ligands in the female SD rat model. Finally, to relate differential hepatic gene expression to the liver pathology observed with chronic exposure to DLCs, phenotypic anchoring was conducted to associate differentially expressed genes with hepatocellular adenoma and cholangiocarcinoma. Together these analyses will provide a comprehensive description of the genomic responses which occur in rat hepatic tissue with subchronic and chronic exposure to AhR ligands and will help to isolate those genomic responses which are contributing to the hepatotoxicity observed with chronic exposure to DLCs.
Animal Exposures and Procurement of Liver Tissue
Liver tissues were obtained from the National Toxicology Program (NTP) 2-year cancer bioassay investigating the relative carcinogenic potencies of the AhR ligands TCDD and PCB126; and the non-ligand PCB153 [4, 5, 8]. Female SD rats were exposed 5 days a wk via oral gavage to toxicologically equivalent doses of TCDD (100 ng/kg/day) (Toxic equivalence factor (TEF) = 1.0), PCB126 (30 ng, 300 ng or 1000 ng/kg/day) (TEF = 0.1), PCB153 (1000 μg/kg/day) (TEF = 0.0) or a vehicle control of corn oil:acetone (99:1). Rats were exposed to these compounds for 13 wks (subchronic exposure) or 52 wks (chronic exposure). TEFs were determined using the 2005 TEF recommendations provided by the World Health Organization . Liver tissue was also harvested from female SD rats at 24 hr following a single exposure to TCDD (5 μg/kg, po). This exposure was conducted to identify early responsive genes which were also shown to be differentially expressed (up- or down-) following exposures to DLCs. This acute dose of TCDD has been previously shown to result in hepatic tissue concentrations of dioxin similar to those observed with subchronic and chronic exposure . All procedures were carried out with the approval of the University at Buffalo Institutional Animal Care and Use Committee (PMY14098Y).
RNA Isolation and Hybridization
The storage and processing of liver samples was described earlier by Vezina et al. 2004. Following storage at -80°C, liver tissues were disrupted by homogenization and total RNA was isolated with the Qiagen RNeasy kit (Qiagen Inc., Valencia, CA). RNA integrity was assessed using the Agilent Bioanalyzer 2100 (Agilent Technologies, Palo Alto, CA). High quality RNA was transformed into biotinylated cRNA by the Roswell Park Cancer Institute Gene Expression Facility (Buffalo, NY) and hybridized to RGU34A GeneChips (Affymetrix, Santa Clara, CA) and scanned with the Affymetrix 428 scanner.
Gene Microarray Data Analysis
Probe-level data from cell intensity files were background subtracted and normalized by the gc-Robust Multiarray Analysis (gcRMA) method using ArrayAssist® (Stratagene, CA). Absolute fold changes and t-test statistics (including Benjamini-Hochberg false discovery rate (FDR) corrections) were calculated using ArrayAssist®. Probe-sets were filtered to identify those genes which exhibited a change in expression (up- or down-) of at least 2-fold and a t-test p-value ≤ 0.05 between treated (n = 3) and control (n = 3) groups. Comparative analysis was conducted using Microsoft excel (Microsoft Corporation, Redmond, WA) to further filter the data and identify genes that exhibited statistically significant change (≥ 2-fold) with two or more toxicants. Gene annotation and gene symbols were obtained through the Affymetrix NetAffx™ Analysis Center Software. Heat maps were constructed using TIGR Microarray Experiment Viewer 4.0 . Student t-tests and ANOVA analysis with the post-hoc Tukey test were conducted between treatment groups using Minitab™ (Minitab Inc., State College, PA). A complete summary of gene microarray data is available through the Gene Expression Omnibus at the National Center for Biotechnology Information at http://www.ncbi.nlm.nih.gov/geo/ as accession numbers GSE5789 (13 week microarray data) and GSE22263 (52 week microarray data).
Quantitative Real-time PCR analysis
Quantitative real-time polymerase chain reaction (qPCR) validated the hepatic expression of AhR genomic biomarkers in livers from rats at 24 hr following exposure to TCDD (5 μg/kg, po). Primers were selected from Entrez Gene rat gene reference sequences using Primer3 software . The parameters for primer selection were described previously  and primer sequences are listed in additional file 1. Real-time qPCR was conducted on hepatic cDNA using the IQ SYBR green supermix kit (Bio-Rad Laboratories, Hercules, CA) as described previously in Ovando et al. (2006). Statistical comparisons of control vs. treated groups was performed with a 2-sample t-test using Minitab 15 statistical software (Minitab Inc., State College, PA)
Identification of Dioxin Response Elements (DREs)
Gene regulatory regions spanning 5000 bp above and 1000 bp below the transcriptional start site of target genes were obtained from the University of California, Santa Cruz, Genome Browser using Entrez Gene GeneID numbers. All obtained sequences were analyzed for core DRE sequences (5'-GCGTG-3') using MatInspector (Genomatix Software GmbH, Munchen, Germany). Putative DREs were those with a core similarity of 1.0 and matrix similarity equal to or greater than the optimized matrix threshold .
Phenotypic Anchoring of Gene Expression Data
Changes in gene expression associated with TCDD, PCB126 and PCB153 exposure were compared with changes in gene expression associated with rat hepatocellular adenoma (HCA) , human HCA and human intrahepatic cholangiocarcinoma (ICC) [24, 25]. Eighty-one percent of the human HCA tumors were from males  while 52%  and 41%  of the human ICC tumors were from males. Our approach was limited in that the HCA and ICC expression data was not reported on a gender specific basis thus preventing us from identifying shared gene responses based on gender. Ortholog identification and gene annotation of gene array data obtained from published studies was accomplished using ArrayTrack (Food and Drug Administration, NTCR) and/or NetAffix™ (Affymetrix Inc.) .
Dose-response Analysis of Hepatic Gene Expression following Chronic Exposure to 30 ng, 300 ng and 1000 ng/kg/day PCB126
Increases in the incidence of non-neoplastic and neoplastic hepatic lesions were observed with increasing dose and duration of exposure to PCB126 (Table 1) . To evaluate the effect of increasing dose of PCB126 on hepatic gene expression, microarray analysis was conducted on hepatic tissue of female SD rats following 52 weeks of chronic exposure to 30 ng, 300 ng and 1000 ng/kg/day PCB126. Gene array analysis showed a positive trend between PCB126 dose and the number of genes differentially expressed (Table 2). In addition, the magnitude of differential expression of several genes also increased with increasing dose of PCB126 (additional files 2, 3 and 4). Sixteen genes were identified which exhibited altered expression at all three doses (Table 3). Four of the sixteen genes were classic AhR responsive genes and exhibited statistically significant increases in expression with increasing dose of PCB126. These genes included Cyp1a1 (cytochrome P450 1A1), Cyp1b1 (cytochrome P450 1B1), Ugt1a6 (UDP glycosyltransferase 1 family, polypeptide A6) and Ugt1a7 (UDP glycosyltransferase 1 family, polypeptide A7) (Table 3). The remaining genes in Table 3 represent a novel set of sensitive genomic biomarkers for chronic exposure to PCB126.
Identifying Genomic Biomarkers of Subchronic and Chronic Exposure to TCDD, PCB126 and PCB153
During the 2-year cancer bioassays conducted by the NTP, it was observed that continuous exposure to DLCs beyond 30 weeks was necessary to lead to the formation of hepatic neoplastic lesions (Table 1). Rats treated with TCDD or PCB126 for 30 weeks, and then with vehicle control for the remainder of the two-year cancer bioassay showed no difference in the incidence of hepatocellular adenoma or cholangiocarcinoma when compared to control animals [4, 5]. This suggests that persistent AhR activation with long-term alterations in gene expression are necessary for the development of hepatic neoplasia.
To identify genomic responses which are sustained throughout chronic exposure, comparative analysis of time-course microarray data was conducted. Subchronic (13 weeks) and chronic (52 weeks) exposure to TCDD (100 ng/kg/day), led to the differential expression of 103 and 299 genes, respectively (Table 2 and additional files 5 and 6). Through comparative analysis of subchronic and chronic exposure, 75 genes were identified that exhibited the same differential expression pattern at both time points (Figures 1 and 2). Following a similar paradigm for exposure to PCB126 (1000 ng/kg/day), 70 genes were identified that sustained the same differential expression pattern at both time points (Figures 1 and 2 and additional files 4 and 7). The non-hepatotoxic PCB153 (Table 1) caused the sustained differential expression of only 9 genes following subchronic and chronic exposure (Figures 1 and 2 and additional files 8 and 9). The sustained genomic responses to TCDD, PCB126 and PCB153 serve as genomic biomarkers of subchronic and chronic exposure to these compounds.
Identification of Genomic Biomarkers of Exposure to AhR Ligands
The hepatic gene expression signatures of TCDD and PCB126, while not identical, did exhibit a great deal of overlap. Genes that are shared by both expression signatures represent genomic biomarkers of subchronic and chronic exposure to two AhR ligands at toxic equivalent doses. Forty-one genomic biomarkers were identified that were shared by the expression signatures of TCDD and PCB126, but not PCB153 (Table 4 and Figure 3). These 41 genes are genomic biomarkers of exposure to two different AhR ligands and may be applicable to other AhR ligands as biomarkers of exposure (Table 4). Only one gene, Psat1 (phosphoserine aminotransferase 1), was found to be shared by the expression signatures of all three compounds (Figures 2 and 3), where its expression was up-regulated 3- to 8-fold following exposure to TCDD, PCB126, and PCB153.
The sustained differential expression of these 41 AhR genomic biomarkers at both subchronic and chronic time-points suggests that these genomic responses are time-independent. To validate these biomarkers and determine if the differential expression of these genomic biomarkers are time-independent, real-time qPCR was utilized to evaluate hepatic gene expression in female SD rats at 24 h post-exposure to an acute dose of TCDD (5 μg/kg, po.) (Table 4). Thirty of these 41 genes exhibited a 2-fold or greater change in expression 24 h post-exposure to TCDD (5 μg/kg). While acute exposure to TCDD resulted in less than a 2-fold change in the hepatic expression of 10 AhR genomic biomarkers, 9 of the 10 genes exhibited a similar trend in the up or down regulation observed following subchronic and chronic exposure to TCDD and PCB126 (Table 4). The 30 genes confirmed through real-time qPCR to be up- or down-regulated (≥ 2-fold change in expression) represent time-independent genomic biomarkers of AhR ligands that are responsive at acute, subchronic and chronic time-points and may be applied as a diagnostic and mechanistic tool for the evaluation of AhR-ligand like activity in the female SD rat model.
The 41 AhR genomic biomarkers were analyzed for the presence of putative DRE sites (5'-GCGTG-3') within 5000 bp above and 1000 bp below the transcriptional start site. The gene regulatory sequences were obtained for 39 of the 41 genes. Sequences for Alas1 (aminolevulinate, delta-, synthase 1) and Mtmr7 (myotubularin related protein 7) were not available through the UCSC genome bioinformatic database and thus prevented analysis for DRE sites. Of the 39 genes assessed, 25 of the genes contained one or more putative DRE site (Table 4). This included genes which have been previously shown to be regulated by AhR ligands including the cytochrome P450 genes Cyp1a1 and Cyp1b1 the UDP glycotransferase genes Ugt1a6 and Ugt1a7, Hal (histidine ammonia lyase) , Nqo1 (NAD(P)H dehydrogenase, quinone 1) , Srd5a1 (steroid-5-alpha-reductase, alpha polypeptide)  and Tsc22d1 (TSC22 domain family, member 1; also known as Tgfb1i4).
Phenotypic Anchoring of 52-week Hepatic Gene Expression to Hepatocellular Adenoma and Cholangiocarcinoma
Following chronic exposure to TCDD and PCB126 a significant increase in the incidence of HCA and cholangiocarcinoma (CC) is observed in the livers of female SD rats (Table 1). The appearance of HCA and CC was observed with 104 weeks of exposure to TCDD and PCB126, but not at earlier time points or with PCB153. To relate genomic responses to the observed liver pathology, comparative analysis was conducted between the 52 week hepatic gene expression profiles of TCDD, PCB126 and PCB153, and gene array data from published studies on human ICC , human HCA  and rat HCA .
Human ICC gene expression profiles were obtained from microarray studies conducted on 13  and 25  microdissected cholangiocarcinomas. Between the two studies, 24 genes were identified as exhibiting the same differential expression pattern in human ICC and in rat liver following 52 weeks of chronic exposure to TCDD and/or PCB126, but not PCB153 (Table 5). Among these genes, 4 were unique to the Obama et al. (2005) ICC expression profile, 18 were unique to the Miller et al. (2009) ICC expression profile and 2 genes were shared between the two ICC expression profiles. The two genes that were present in both ICC expression profiles were Gata6 (GATA binding protein 6) and Timp3 (tissue inhibitor of metalloproteinase 3).
Human and Sprague-Dawley rat HCA gene expression profiles obtained from microdissected HCA tissues  were used for comparative analysis. Additional rat HCA gene expression profiles were kindly provided by Dr. Sun Hee Yim (National Cancer Institute, Bethesda, MD). Seventeen genes were identified which exhibited the same differential expression pattern in human HCA as that seen in the livers of rats exposed for 52 weeks to TCDD and/or PCB126 (Table 6). Additionally, seven genes were identified which exhibited the same differential expression pattern in both rat HCA gene expression studies and in livers from rats exposed for 52 weeks to TCDD and/or PCB126, but not PCB153 (Table 6). Interestingly, the genes Gata6, Agt (angiotensinogen (serpin peptidase inhibitor, clade A, member 8)) and Bhlhb2 (basic helix-loop-helix domain containing, class B2) were down-regulated in ICC and HCA as well as the 52 week expression profiles of TCDD and/or PCB126, but not PCB153.
Toxicological studies conducted by the National Toxicology Program have shown a significant increase in the incidence of hepatic neoplastic and non-neoplastic lesions in female SD rats following chronic exposure to TCDD and PCB126 [4, 5, 7]. Studies with AhR knockout mice have shown that the acute toxicity of TCDD is dependent on the functionality of the AhR [11, 12]. This suggests that the hepatotoxic effects of TCDD and related dioxin-like compounds (DLCs) are mediated through the AhR, and changes in gene expression resulting from activation of this transcription factor are likely the principle mode of toxicity of these compounds. In an effort to identify the genomic responses that may be contributing to the observed liver toxicity, toxicogenomics was conducted to provide a comprehensive description of hepatic gene expression with acute exposure to TCDD and subchronic and chronic exposure to TCDD and PCB126, the most potent dioxin-like PCB.
Through the comparative analysis of time-course microarray data, hepatic gene expression signatures of subchronic and chronic exposure to TCDD, PCB126 and PCB153 were identified (Figures 1 & 2). The hepatic gene expression signature of PCB126 (1000 ng/kg/day) consists of 70 genes which show sustained differential expression at both subchronic (13 weeks) and chronic (52 weeks) time points (Figure 1). In addition, a dose response analysis of hepatic gene expression was conducted following 52 weeks of chronic exposure to 30 ng, 300 ng and 1000 ng/kg/day PCB126. Gene array analysis showed a positive correlation between PCB126 dose and the number of genes differentially expressed (Table 2). A similar dose response relationship has been reported for female mice subjected to an acute exposure to PCB126 . Comparative analysis of the hepatic expression profiles of chronic (52 weeks) exposure to 30 ng, 300 ng and 1000 ng/kg/day PCB126 identified 16 genes which were differentially expressed at all three concentrations (Table 3). Interestingly, of those 16 genes, Ccl2 (chemokine (C-C motif) ligand 2), Chka (choline kinase alpha), Thrb (thyroid hormone receptor beta) and Synj2 (synaptojanin 2) are not present in the 13- and 52 week hepatic gene expression signature of PCB126 (Figure 2). This indicates that even though differential expression of Ccl2, Chka, Thrb and Synj2 are sensitive endpoints of chronic PCB126 exposure, as evident in their responsiveness at 30 ng/kg/day PCB126, these changes do not manifest themselves following 13 weeks of subchronic exposure to 1000 ng/kg/day PCB126. These four genes help illustrate the caution that one must use in categorizing a gene as a biomarker of exposure. As seen in these results, Ccl2, Chka, Thrb and Synj2 are examples of sensitive genomic responses to chronic PCB126 exposure, however, they do not exhibit the early subchronic responsiveness that would make them beneficial as biomarkers in early stage identification of PCB126 exposure.
Pathological data shows that continuous exposure to TCDD and PCB126 beyond a period of 13 weeks is necessary to cause the formation of hepatic neoplastic and non-neoplastic lesions [4, 5]. Considering the relevance of genomic responses to the toxicity of DLCs, these data suggest that changes in gene expression that are sustained throughout chronic treatment are playing a pivotal role in the development of hepatic lesions. Seventy-five and 70 genes were identified which showed sustained differential expression following subchronic (13 weeks) and chronic (52 weeks) exposure to TCDD and PCB126, respectively (Figures 1 and 2). The sustained differential expression of these genes over a 52 week span suggests that these genes are likely playing an important role in the hepatotoxic effects of TCDD and PCB126. Nine genes showed sustained differential expression following subchronic and chronic exposure to PCB153 (Figures 1 and 2). Only one gene, Psat1, was differentially expressed (up-regulated 3- to 8-fold) in the expression signatures of PCB153, TCDD and PCB126 (Figure 3). Psat1 is a phosphoserine aminotransferase involved in serine biosynthesis whose expression has been shown to be up-regulated in colon adenocarcinoma , colorectal cancer  and breast cancer . Additionally, increased expression of Psat1 in colorectal cancer and breast cancer is associated with a poor regression of tumor metastases following therapy [33, 34]. The increase expression of Psat1 following TCDD, PCB126 and PCB153 treatments suggests that its response is not specific to DLCs. The identification of unique gene expression profiles in Sprague-Dawley rats exposed to DLCs (TCDD or PCB126) versus non-DLCs (PCB153) corroborates similar observations previously reported in ovariectomized C57BL/6 mice .
From the hepatic gene expression signatures of PCB126 and TCDD, 41 genomic biomarkers were identified that are shared by both compounds, following 13 and 52 weeks of exposure (Table 4). The observation that these 41 genomic biomarkers are shared by two AhR ligands suggests that differential expression of these genes requires AhR activation. Of the 41 AhR-ligand genomic biomarkers, 30 exhibited a 2-fold or greater change in expression 24 h post-exposure to an acute dose of TCDD, as determined by real-time qPCR. In addition, approximately 40%of these genes have shown a 2-fold change in expression following acute exposure to TCDD in other studies conducted on female and/or male Sprague-Dawley rats [14, 27], adding further support that these genomic biomarkers represent time-independent primary responses in gene expression to AhR ligands. Ten of the AhR genomic biomarkers resulted in a less than 2-fold change following acute exposure to TCDD, however, 9 of these biomarkers exhibited a similar trend in the up or down regulation observed following subchronic and chronic exposure to TCDD and PCB126 (Table 4). Furthermore, other microarray studies have shown that following an acute exposure to TCDD, the majority of these genomic biomarkers exhibit a similar response as that seen in our study [14, 29, 30], thus providing further evidence for their roles as biomarkers.
Seven of the 41 genomic biomarkers are members of the "AhR gene battery" which are a group of genes known to be regulated by the AhR . Genomic biomarker genes which fall into this category include CYP1a1, CYP1a2 (cytochrome P450 1A2), CYP1b1, Nqo1, Ugt1a6, Ugt1A7 and Aldh3a1 (aldehyde dehydrogenase 3A1). More novel genes included among the 41 genomic biomarkers include genes involved in trafficking/transport (Cadps, Exoc3, Serpina7, Slc13a3 and Slc29a1), cell adhesion (Ceacam10 and Enpp2), cell signaling (Ptprd, Ptprn and Trib3) and development/differentiation (Enpp3 and Srd5a1). Enpp2 (Ectonucleotide pyrophosphatase/phosphodiesterase 2; also known as autotaxin), a tumor cell motility stimulating factor , was up-regulated following TCDD and PCB126 exposure. This agrees with previous observations implicating Enpp2 as being one of the most commonly up-regulated genes in cancer cells and being widely involved in tumor progression, invasion and metastasis . Ptprd (Receptor-type tyrosine-protein phosphatase delta), a protein tyrosine phosphatase, has been identified as a tumor suppressor [39, 40] whose expression is down-regulation in breast, colon and glioblastoma tumors [39, 41]. The down-regulation of Ptprd following TCDD and PCB126 exposure likely contributes to the neoplastic effects of the compounds. Trib3 (Tribbles homolog 3 (Drosophila)) is a regulatory protein which has been shown to be up-regulated following stressful conditions [42, 43], consistent with its up-regulation following TCDD and PCB126 exposure.
Twenty-five of the 41 AhR-ligand genomic biomarkers contained one or more putative DRE within 5000 bp upstream and 1000 bp downstream from the transcriptional start site (Table 4). However, genes such as Cyp3a13 (cytochrome P450 3A13), Ces3 (carboxylesterase 3) and Serpina7 (serine (or cysteine) peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 7) did not contain a putative DRE in the region examined (-5000 bp to +1000 bp), suggesting that an activated AhR may not directly bind to these genes. Interestingly, even though Cyp3a13, Ces3 and Serpina7 do not contain any DREs in their promoter region, their acute sensitivity to TCDD has been previously shown to be dependent on a functional AhR . This indicates that the presence or lack of a DRE in the promoter region does not solely determine the response of a gene following TCDD exposure; it is also possible that a DRE located outside the region examined here is able to influence gene expression.
In order to relate changes in gene expression to the observed hepatotoxicity, the 52 week hepatic gene expression profiles from TCDD and PCB126 treated rats were compared to the expression profiles from previously published studies [22, 24] that examined hepatic neoplastic lesions similar to those observed in the NTP studies. Through this approach, an attempt was made to identify common genes which may play a role in the development and progression of the neoplastic effects observed with DLCs. This comparison identified 24, 17 and 7 genes which were differentially expressed with exposure to DLCs and human ICC, human HCA and rat HCA, respectively (Tables 5 and 6). Interestingly, of the genes common to both DLC exposure and the examined disease states, Alas1, Cadps (Ca2+-dependent secretion activator), Cyp3a13, Enpp2, Pik3c2g (phosphatidylinositol 3-kinase, C2 domain containing, gamma polypeptide) and Trib3 were also present among the 41 time independent AhR genomic biomarkers. For both of the HCA and ICC studies there were genes which did not overlap between the similar disease states which is likely due to inter-individual differences in the tumor micro-environment, environmental conditions and other genetic components.
The genes Gata6 and Timp3 were down-regulated in both of the human ICC expression profiles and following TCDD exposure. Gata6 was also down-regulated following PCB126 exposure and in the human HCA expression profile. Additionally, the genes Bhlhb2, Agt and Gata6 were down-regulated in the ICC and HCA disease states and following exposure to DLCs. Gata6 is a zinc finger transcription factors which can regulate gene expression and cell cycle progression [44, 45]. Expression of Gata6 is significantly depressed in most human adrenocortical tumors [46, 47] and it has been hypothesized that decreased expression of Gata6 may be an important event for the escape of tumor cells from normal control mechanisms . Timp3 is a matrix metalloproteinase with proapoptotic activity  whose expression is significantly lower in human cholangiocarcinomas . It has been suggested that Timp3 may serve as a tumor suppressor gene in cholangiocarcinoma . Bhlhb2 (also known as Dec1) is a hypoxia-induced gene whose expression is elevated in several malignant tumors [51–53]. The down-regulation of Bhlhb2 in HCA, ICC and following TCDD exposure suggest that these tumor micro-environments are not hypoxic. Agt, is a known precursor of angiotensin I and has shown antitumor effects in vitroand in vivo by inducing apoptosis and decreasing endothelial cell proliferation . The down-regulation of Agt in HCA, ICC and following TCDD exposure likely contributes to the formation of neoplastic lesions.
It should be noted that of the 50 genes shared by the 52-week gene expression data (TCDD, PCB126, and PCB153) and gene expression data from the published reports of ICC and HCA, only 4 genes (Got2, Ugcg, Stmn1 and Alas1) were found to be differentially expressed by the non-DLC PCB153. Gene expression of Got2 (glutamic-oxaloacetic transaminase 2, mitochondrial (aspartate aminotransferase 2), a mitochondrial enzyme involved in energy transduction , was down-regulated in the PCB153 and human HCA expression profiles while Ugcg (UDP-glucose ceramide glucosyltransferase), an enzyme involved in glycosphingolipid biosynthesis , gene expression was up-regulated in these two expression profiles. Stmn1 (stathmin 1), a cellular protein involved in mictotubule destabilization , is over expressed in a wide variety of human cancers including liver, breast, lung and prostate cancer [60–63]. Stmn1 was up-regulated in the TCDD, PCB153 and human HCA expression profiles suggesting that while it is a good marker for different types of human cancer, it may not be a valid biomarker for DLC exposure in Sprague Dawley rats. Gene expression of Alas1, an enzyme involved in heme biosynthesis , was down-regulated in the TCDD, PCB126 and human HCA profiles but up-regulated in the PCB153 expression profile, suggesting that down-regulation of Alas1 may promote tumor development.
Toxicogenomic analysis has identified hepatic genomic biomarkers of exposure to the AhR ligands, TCDD and PCB126; and the non-dioxin-like compound, PCB153. From these genomic biomarkers, time-independent hepatic gene expression signatures were constructed that are unique to TCDD, PCB126 and PCB153. In addition to identifying gene expression signatures for the dioxin-like compounds TCDD and PCB126, 41 common genomic biomarkers were identified which are shared by these AhR ligands. These 41 common genomic biomarkers may serve as biomarkers of exposure to other AhR ligands and can be used in the risk assessment of other environmental toxins believed to exert their effect through AhR activation. Together, the data collected in this study can serve to guide future investigations in assessing risk of dioxin-like compounds and elucidating the mechanisms of action by which dioxin-like compounds induce their hepatotoxic and carcinogenic effects.
Birnbaum LS, Tuomisto J: Non-carcinogenic effects of TCDD in animals. Food Additives & Contaminants. 2000, 17 (4): 275-288.
Safe SH: Polychlorinated biphenyls (PCBs): environmental impact, biochemical and toxic responses, and implications for risk assessment. Critical Reviews in Toxicology. 1994, 24 (2): 87-149. 10.3109/10408449409049308.
Sweeney MH, Mocarelli P: Human health effects after exposure to 2,3,7,8-TCDD. Food Additives & Contaminants. 2000, 17 (4): 303-316.
NTPa: NTP technical report on the toxicology and carcinogenesis studies of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) (CAS No. 1746-01-6) in female Harlan Sprague-Dawley rats (Gavage Studies). National Toxicology Program technical report series. 2006, 4-232. 521
NTPb: NTP toxicology and carcinogenesis studies of 3,3',4,4',5-pentachlorobiphenyl (PCB 126) (CAS No. 57465-28-8) in female Harlan Sprague-Dawley rats (Gavage Studies). National Toxicology Program technical report series. 2006, 4-246. 520
Kociba RJ, Keyes DG, Beyer JE, Carreon RM, Wade CE, Dittenber DA, Kalnins RP, Frauson LE, Park CN, Barnard SD: Results of a two-year chronic toxicity and oncogenicity study of 2,3,7,8-tetrachlorodibenzo-p-dioxin in rats. Toxicol Appl Pharmacol. 1978, 46 (2): 279-303. 10.1016/0041-008X(78)90075-3.
Walker NJ, Crockett PW, Nyska A, Brix AE, Jokinen MP, Sells DM, Hailey JR, Easterling M, Haseman JK, Yin M: Dose-additive carcinogenicity of a defined mixture of "dioxin-like compounds". Environmental Health Perspectives. 2005, 113 (1): 43-48. 10.1289/ehp.7351.
NTPc: NTP technical report on the toxicology and carcinogenesis studies of 2,2',4,4',5,5'-hexachlorobiphenyl (PCB 153) (CAS No. 35065-27-1) in female Harlan Sprague-Dawley rats (Gavage studies). National Toxicology Program technical report series. 2006, 4-168. 529
Tan Z, Chang X, Puga A, Xia Y: Activation of mitogen-activated protein kinases (MAPKs) by aromatic hydrocarbons: role in the regulation of aryl hydrocarbon receptor (AHR) function. Biochemical pharmacology. 2002, 64 (5-6): 771-780. 10.1016/S0006-2952(02)01138-3.
Tijet N, Boutros PC, Moffat ID, Okey AB, Tuomisto J, Pohjanvirta R: Aryl hydrocarbon receptor regulates distinct dioxin-dependent and dioxin-independent gene batteries. Mol Pharmacol. 2006, 69 (1): 140-153.
Gonzalez FJ, Fernandez-Salguero P: The aryl hydrocarbon receptor: studies using the AHR-null mice. Drug metabolism and disposition: the biological fate of chemicals. 1998, 26 (12): 1194-1198.
Fernandez-Salguero PM, Hilbert DM, Rudikoff S, Ward JM, Gonzalez FJ: Aryl-hydrocarbon receptor-deficient mice are resistant to 2,3,7,8-tetrachlorodibenzo-p-dioxin-induced toxicity. Toxicology and applied pharmacology. 1996, 140 (1): 173-179. 10.1006/taap.1996.0210.
Ovando BJ, Vezina CM, McGarrigle BP, Olson JR: Hepatic gene downregulation following acute and subchronic exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin. Toxicol Sci. 2006, 94 (2): 428-438. 10.1093/toxsci/kfl111.
Boverhof DR, Burgoon LD, Tashiro C, Sharratt B, Chittim B, Harkema JR, Mendrick DL, Zacharewski TR: Comparative toxicogenomic analysis of the hepatotoxic effects of TCDD in Sprague Dawley rats and C57BL/6 mice. Toxicol Sci. 2006, 94 (2): 398-416. 10.1093/toxsci/kfl100.
Tuomisto JT, Viluksela M, Pohjanvirta R, Tuomisto J: The AH receptor and a novel gene determine acute toxic responses to TCDD: segregation of the resistant alleles to different rat lines. Toxicology and applied pharmacology. 1999, 155 (1): 71-81. 10.1006/taap.1998.8564.
Pohjanvirta R, Wong JM, Li W, Harper PA, Tuomisto J, Okey AB: Point mutation in intron sequence causes altered carboxyl-terminal structure in the aryl hydrocarbon receptor of the most 2,3,7,8-tetrachlorodibenzo-p-dioxin-resistant rat strain. Molecular pharmacology. 1998, 54 (1): 86-93.
Vezina CM, Walker NJ, Olson JR: Subchronic exposure to TCDD, PeCDF, PCB126, and PCB153: effect on hepatic gene expression. Environ Health Perspect. 2004, 112 (16): 1636-1644.
Van den Berg M, Birnbaum L, Denison MS, De Vito M, Farland W, Feeley M, Fiedler H, Hakansson H, Hanberg A, Haws L: The 2005 World Health Organization Re-evaluation of Human and Mammalian Toxic Equivalency Factors for Dioxins and Dioxin-like Compounds. Toxicological Sciences. 2006, 93 (2): 223-241. 10.1093/toxsci/kfl055.
Saeed AI, Sharov V, White J, Li J, Liang W, Bhagabati N, Braisted J, Klapa M, Currier T, Thiagarajan M: TM4: a free, open-source system for microarray data management and analysis. Biotechniques. 2003, 34 (2): 374-378.
Rozen S, Skaletsky H: Primer3 on the www for general users and for biologist programmers. Methods Mol Biol. 2000, 132: 365-386.
Cartharius K, Frech K, Grote K, Klocke B, Haltmeier M, Klingenhoff A, Frisch M, Bayerlein M, Werner T: MatInspector and beyond: promoter analysis based on transcription factor binding sites. Bioinformatics. 2005, 21 (13): 2933-2942. 10.1093/bioinformatics/bti473.
Yim SH, Ward JM, Dragan Y, Yamada A, Scacheri PC, Kimura S, Gonzalez FJ: Microarray analysis using amplified mRNA from laser capture microdissection of microscopic hepatocellular precancerous lesions and frozen hepatocellular carcinomas reveals unique and consistent gene expression profiles. Toxicologic pathology. 2003, 31 (3): 295-303. 10.1080/01926230309753.
Boyault S, Rickman DS, de Reynies A, Balabaud C, Rebouissou S, Jeannot E, Herault A, Saric J, Belghiti J, Franco D: Transcriptome classification of HCC is related to gene alterations and to new therapeutic targets. Hepatology. 2007, 45 (1): 42-52. 10.1002/hep.21467.
Obama K, Ura K, Li M, Katagiri T, Tsunoda T, Nomura A, Satoh S, Nakamura Y, Furukawa Y: Genome-wide analysis of gene expression in human intrahepatic cholangiocarcinoma. Hepatology. 2005, Baltimore, Md, 41 (6): 1339-1348. 10.1002/hep.20718.
Miller G, Socci ND, Dhall D, D'Angelica M, DeMatteo RP, Allen PJ, Singh B, Fong Y, Blumgart LH, Klimstra DS: Genome wide analysis and clinical correlation of chromosomal and transcriptional mutations in cancers of the biliary tract. J Exp Clin Cancer Res. 2009, 28: 62-
Tong W, Cao X, Harris S, Sun H, Fang H, Fuscoe J, Harris A, Hong H, Xie Q, Perkins R: ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research. Environmental Health Perspectives. 2003, 111 (15): 1819-1826.
Fletcher N, Wahlstrom D, Lundberg R, Nilsson CB, Nilsson KC, Stockling K, Hellmold H, Hakansson H: 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) alters the mRNA expression of critical genes associated with cholesterol metabolism, bile acid biosynthesis, and bile transport in rat liver: a microarray study. Toxicol Appl Pharmacol. 2005, 207 (1): 1-24. 10.1016/j.taap.2004.12.003.
N'Jai A, Boverhof DR, Dere E, Burgoon LD, Tan YS, Rowlands JC, Budinsky RA, Stebbins KE, Zacharewski TR: Comparative temporal toxicogenomic analysis of TCDD- and TCDF-mediated hepatic effects in immature female C57BL/6 mice. Toxicol Sci. 2008, 103 (2): 285-297. 10.1093/toxsci/kfn053.
Boutros PC, Yan R, Moffat ID, Pohjanvirta R, Okey AB: Transcriptomic responses to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) in liver: comparison of rat and mouse. BMC Genomics. 2008, 9: 419-10.1186/1471-2164-9-419.
Franc MA, Moffat ID, Boutros PC, Tuomisto JT, Tuomisto J, Pohjanvirta R, Okey AB: Patterns of dioxin-altered mRNA expression in livers of dioxin-sensitive versus dioxin-resistant rats. Arch Toxicol. 2008, 82 (11): 809-830. 10.1007/s00204-008-0303-0.
Kopec AK, Boverhof DR, Burgoon LD, Ibrahim-Aibo D, Harkema JR, Tashiro C, Chittim B, Zacharewski TR: Comparative toxicogenomic examination of the hepatic effects of PCB126 and TCDD in immature, ovariectomized C57BL/6 mice. Toxicol Sci. 2008, 102 (1): 61-75. 10.1093/toxsci/kfm289.
Ojala P, Sundstrom J, Gronroos JM, Virtanen E, Talvinen K, Nevalainen TJ: mRNA differential display of gene expression in colonic carcinoma. Electrophoresis. 2002, 23 (11): 1667-1676. 10.1002/1522-2683(200206)23:11<1667::AID-ELPS1667>3.0.CO;2-0.
Vie N, Copois V, Bascoul-Mollevi C, Denis V, Bec N, Robert B, Fraslon C, Conseiller E, Molina F, Larroque C: Overexpression of phosphoserine aminotransferase PSAT1 stimulates cell growth and increases chemoresistance of colon cancer cells. Mol Cancer. 2008, 7: 14-10.1186/1476-4598-7-14.
Martens JW, Nimmrich I, Koenig T, Look MP, Harbeck N, Model F, Kluth A, Bolt-de Vries J, Sieuwerts AM, Portengen H: Association of DNA methylation of phosphoserine aminotransferase with response to endocrine therapy in patients with recurrent breast cancer. Cancer Res. 2005, 65 (10): 4101-4117. 10.1158/0008-5472.CAN-05-0064.
Kopec AK, Burgoon LD, Ibrahim-Aibo D, Mets BD, Tashiro C, Potter D, Sharratt B, Harkema JR, Zacharewski TR: PCB153-elicited hepatic responses in the immature, ovariectomized C57BL/6 mice: comparative toxicogenomic effects of dioxin and non-dioxin-like ligands. Toxicol Appl Pharmacol. 2010, 243 (3): 359-371. 10.1016/j.taap.2009.12.003.
Nebert DW, Roe AL, Dieter MZ, Solis WA, Yang Y, Dalton TP: Role of the aromatic hydrocarbon receptor and [Ah] gene battery in the oxidative stress response, cell cycle control, and apoptosis. Biochem Pharmacol. 2000, 59 (1): 65-85. 10.1016/S0006-2952(99)00310-X.
Umezu-Goto M, Kishi Y, Taira A, Hama K, Dohmae N, Takio K, Yamori T, Mills GB, Inoue K, Aoki J: Autotaxin has lysophospholipase D activity leading to tumor cell growth and motility by lysophosphatidic acid production. J Cell Biol. 2002, 158 (2): 227-233. 10.1083/jcb.200204026.
Xu XY, Yang GH, Zhang HL, Prestwich GD: Evaluating dual activity LPA receptor pan-antagonist/autotaxin inhibitors as anti-cancer agents in vivo using engineered human tumors. Prostag Oth Lipid M. 2009, 89 (3-4): 140-146. 10.1016/j.prostaglandins.2009.07.006.
Chan TA, Glockner S, Yi JM, Chen W, Van Neste L, Cope L, Herman JG, Velculescu V, Schuebel KE, Ahuja N: Convergence of mutation and epigenetic alterations identifies common genes in cancer that predict for poor prognosis. PLoS Med. 2008, 5 (5): e114-10.1371/journal.pmed.0050114.
Chan TA, Heguy A: The protein tyrosine phosphatase receptor D, a broadly inactivated tumor suppressor regulating STAT function. Cell Cycle. 2009, 8 (19): 3063-3064.
Veeriah S, Brennan C, Meng SS, Singh B, Fagin JA, Solit DB, Paty PB, Rohle D, Vivanco I, Chmielecki J: The tyrosine phosphatase PTPRD is a tumor suppressor that is frequently inactivated and mutated in glioblastoma and other human cancers. P Natl Acad Sci USA. 2009, 106 (23): 9435-9440.
Ord D, Ord T: Characterization of human NIPK (TRB3, SKIP3) gene activation in stressful conditions. Biochem Bioph Res Co. 2005, 330 (1): 210-218. 10.1016/j.bbrc.2005.02.149.
Corcoran CA, Luo XQ, He Q, Jiang CY, Huang Y, Sheikh MS: Genotoxic and endoplasmic reticulum stresses differentially regulate TRB3 expression. Cancer Biol Ther. 2005, 4 (10): 1063-1067. 10.4161/cbt.4.10.2205.
Orkin SH: GATA-binding transcription factors in hematopoietic cells. Blood. 1992, 80 (3): 575-581.
Heikinheimo M, Ermolaeva M, Bielinska M, Rahman NA, Narita N, Huhtaniemi IT, Tapanainen JS, Wilson DB: Expression and hormonal regulation of transcription factors GATA-4 and GATA-6 in the mouse ovary. Endocrinology. 1997, 138 (8): 3505-3514. 10.1210/en.138.8.3505.
Kiiveri S, Liu J, Heikkila P, Arola J, Lehtonen E, Voutilainen R, Heikinheimo M: Transcription factors GATA-4 and GATA-6 in human adrenocortical tumors. Endocr Res. 2004, 30 (4): 919-923. 10.1081/ERC-200044149.
Kiiveri S, Siltanen S, Rahman N, Bielinska M, Lehto VP, Huhtaniemi IT, Muglia LJ, Wilson DB, Heikinheimo M: Reciprocal changes in the expression of transcription factors GATA-4 and GATA-6 accompany adrenocortical tumorigenesis in mice and humans. Mol Med. 1999, 5 (7): 490-501.
Viger RS, Guittot SM, Anttonen M, Wilson DB, Heikinheimo M: Role of the GATA family of transcription factors in endocrine development, function, and disease. Mol Endocrinol. 2008, 22 (4): 781-798. 10.1210/me.2007-0513.
Jiang Y, Goldberg ID, Shi YE: Complex roles of tissue inhibitors of metalloproteinases in cancer. Oncogene. 2002, 21 (14): 2245-2252. 10.1038/sj.onc.1205291.
Selaru FM, Olaru AV, Kan T, David S, Cheng Y, Mori Y, Yang J, Paun B, Jin Z, Agarwal R: MicroRNA-21 is overexpressed in human cholangiocarcinoma and regulates programmed cell death 4 and tissue inhibitor of metalloproteinase 3. Hepatology. 2009, 49 (5): 1595-1601. 10.1002/hep.22838.
Chakrabarti J, Turley H, Campo L, Han C, Harris AL, Gatter KC, Fox SB: The transcription factor DEC1 (stra13, SHARP2) is associated with the hypoxic response and high tumour grade in human breast cancers. Br J Cancer. 2004, 91 (5): 954-958. 10.1038/sj.bjc.6602059.
Giatromanolaki A, Koukourakis MI, Sivridis E, Turley H, Wykoff CC, Gatter KC, Harris AL: DEC1 (STRA13) protein expression relates to hypoxia- inducible factor 1-alpha and carbonic anhydrase-9 overexpression in non-small cell lung cancer. J Pathol. 2003, 200 (2): 222-228. 10.1002/path.1330.
Li Y, Zhang H, Xie M, Hu M, Ge S, Yang D, Wan Y, Yan B: Abundant expression of Dec1/stra13/sharp2 in colon carcinoma: its antagonizing role in serum deprivation-induced apoptosis and selective inhibition of procaspase activation. Biochem J. 2002, 367 (Pt 2): 413-422. 10.1042/BJ20020514.
Celerier J, Cruz A, Lamande N, Gasc JM, Corvol P: Angiotensinogen and its cleaved derivatives inhibit angiogenesis. Hypertension. 2002, 39 (2): 224-228. 10.1161/hy0202.103441.
Vincent F, Bonnin P, Clemessy M, Contreres JO, Lamande N, Gasc JM, Vilar J, Hainaud P, Tobelem G, Corvol P: Angiotensinogen delays angiogenesis and tumor growth of hepatocarcinoma in transgenic mice. Cancer Res. 2009, 69 (7): 2853-2860. 10.1158/0008-5472.CAN-08-2484.
Brand M, Lamande N, Larger E, Corvol P, Gasc JM: Angiotensinogen impairs angiogenesis in the chick chorioallantoic membrane. J Mol Med. 2007, 85 (5): 451-460. 10.1007/s00109-006-0141-6.
Hirsch D, Stahl A, Lodish HF: A family of fatty acid transporters conserved from mycobacterium to man. Proc Natl Acad Sci USA. 1998, 95 (15): 8625-8629. 10.1073/pnas.95.15.8625.
Yamashita T, Wada R, Sasaki T, Deng C, Bierfreund U, Sandhoff K, Proia RL: A vital role for glycosphingolipid synthesis during development and differentiation. Proc Natl Acad Sci USA. 1999, 96 (16): 9142-9147. 10.1073/pnas.96.16.9142.
Rubin CI, Atweh GF: The role of stathmin in the regulation of the cell cycle. J Cell Biochem. 2004, 93 (2): 242-250. 10.1002/jcb.20187.
Hsieh SY, Huang SF, Yu MC, Yeh TS, Chen TC, Lin YJ, Chang CJ, Sung CM, Lee YL, Hsu CY: Stathmin1 Overexpression Associated With Polyploidy, Tumor-Cell Invasion, Early Recurrence, and Poor Prognosis in Human Hepatoma. Mol Carcinogen. 2010, 49 (5): 476-487.
Golouh R, Cufer T, Sadikov A, Nussdorfer P, Usher PA, Brunner N, Schmitt M, Lesche R, Maier S, Timmermans M: The prognostic value of Stathmin-1, S100A2, and SYK proteins in ER-positive primary breast cancer patients treated with adjuvant tamoxifen monotherapy: an immunohistochemical study. Breast Cancer Res Tr. 2008, 110 (2): 317-326. 10.1007/s10549-007-9724-3.
Ngo TTB, Peng T, Liang XJ, Akeju O, Pastorino S, Zhang W, Kotliarov Y, Zenklusen JC, Fine HA, Maric D: The 1p-encoded protein stathmin and resistance of malignant gliomas to nitrosoureas. J Natl Cancer I. 2007, 99 (8): 639-652. 10.1093/jnci/djk135.
Friedrich B, Gronberg H, Landstrom M, Gullberg M, Bergh A: Differentiation-Stage Specific Expression of Oncoprotein-18 in Human and Rat Prostatic Adenocarcinoma. Prostate. 1995, 27 (2): 102-109. 10.1002/pros.2990270207.
Furuyama K, Kaneko K, Vargas PD: Heme as a magnificent molecule with multiple missions: heme determines its own fate and governs cellular homeostasis. Tohoku J Exp Med. 2007, 213 (1): 1-16. 10.1620/tjem.213.1.
We would like to acknowledge Leighton Stein and the Gene Expression Facility at Roswell Park Cancer Institute, Buffalo, NY. These studies were supported in part by National Institute of Environmental Health Sciences (NIEHS) ES09440 (JRO), the IRCAF Program University at Buffalo (JRO), and the Environment and Society Institute, University at Buffalo (JRO). The content is solely the authors' responsibility and does not necessarily represent official views of NIEHS.
Microarray analysis was performed by BJO and CMV. Real-time qPCR analysis was performed by CAE. Phenotypic anchoring was performed by BJO and CAE. The project was conceived and designed by JRO. BJO wrote the first draft of the manuscript, which all authors edited and approved.
Electronic supplementary material
Additional file 1: Rat primer sequences used for real-time qPCR analysis. Oligonucleotide sequences for the forward and reverse primers used for real-time qPCR. (DOC 58 KB)
Additional file 2: Microarray gene expression following 52 weeks of chronic p.o. exposure to 30 ng/kg/day PCB126 A list of the 52 genes differentially expressed following 52 weeks of chronic exposure to 30 ng/kg/day PCB126. A gene was considered to be differentially expressed if it displayed a gene expression fold change of 2 or greater. (DOC 86 KB)
Additional file 3: Microarray gene expression following 52 weeks of chronic p.o. exposure to 300 ng/kg/day PCB126 A list of the 128 genes differentially expressed following 52 weeks of chronic exposure to 300 ng/kg/day PCB126. A gene was considered to be differentially expressed if it displayed a gene expression fold change of 2 or greater. (DOC 178 KB)
Additional file 4: Microarray gene expression following 52 weeks of chronic p.o. exposure to 1000 ng/kg/day PCB126 A list of the 216 genes differentially expressed following 52 weeks of exposure to 1000 ng/kgday PCB126. A gene was considered to be differentially expressed if it displayed a gene expression fold change of 2 or greater. (DOC 366 KB)
Additional file 5: Microarray gene expression following 13 weeks of subchronic p.o. exposure to 100 ng/kg/day TCDD A list of the 103 genes differentially expressed following 13 weeks of subchronic exposure to 100 ng/kg/day TCDD. A gene was considered to be differentially expressed if it displayed a gene expression fold change of 2 or greater. (DOC 172 KB)
Additional file 6: Microarray gene expression following 52 weeks of chronic p.o. exposure to 100 ng/kg/day TCDD A list of the 299 genes differentially expressed genes following 52 weeks of chronic exposure to 100 ng/kg/day TCDD. A gene was considered to be differentially expressed if it displayed a gene expression fold change of 2 or greater. (DOC 388 KB)
Additional file 7: Microarray gene expression following 13 weeks of subchronic p.o. exposure to 1000 ng/kg/day PCB126 A list of the 371 genes differentially expressed genes following 13 weeks of subchronic exposure to 1000 ng/kg/day PCB126. A gene was considered to be differentially expressed if it displayed a gene expression fold change of 2 or greater. (DOC 474 KB)
Additional file 8: Microarray gene expression following 13 weeks of subchronic p.o. exposure to 1000 μg/kg/day PCB153 A list of the 39 genes differentially expressed following 13 weeks of subchronic exposure to 1000 μg/kg/day PCB153. A gene was considered to be differentially expressed if it displayed a gene expression fold change of 2 or greater. (DOC 82 KB)
Additional file 9: Microarray gene expression following 52 weeks of chronic p.o. exposure to 1000 μg/kg/day PCB153 A list of the 47 genes differentially expressed following 52 weeks of chronic exposure to 1000 μg/kg/day PCB153. A gene was considered to be differentially expressed if it displayed a gene expression fold change of 2 or greater. (DOC 80 KB)
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Ovando, B.J., Ellison, C.A., Vezina, C.M. et al. Toxicogenomic analysis of exposure to TCDD, PCB126 and PCB153: identification of genomic biomarkers of exposure to AhR ligands. BMC Genomics 11, 583 (2010). https://doi.org/10.1186/1471-2164-11-583