Literature DB >> 25540678

Comparative analysis of NRF2-responsive gene expression in AcPC-1 pancreatic cancer cell line.

Yong Weon Yi1, Seunghoon Oh2.   

Abstract

NRF2 is a nuclear transcription factor activated in response to oxidative stress and related with metabolizing of xenotoxic materials and ABC transporter mediated drug resistance. We studied the expression of mRNAs under the siRNA-mediated knockdown of NRF2 and tBHQ-treated condition in AsPC-1 metastatic pancreatic cancer cell line to understand the AsPC-1 specific role(s) of NRF2 and further to investigate the relationship between drug resistance and metastatic plasticity and mobility of AsPc1. Here we show that the genes of aldo-keto reductases, cytochrome P450 family, aldehyde dehydrogenase, thioredoxin reductase, ABC transporter and epoxide hydrolase responsible for drug metabolism or oxidative stress concisely responded to NRF2 stabilization and knockdown of NRF2. In addition the expression of PIR, a candidate of oncogene and KISS1, a suppressor of metastasis were affected by NRF2 stabilization and knockdown. Our result provide comprehensive understanding of NRF2 target genes of drug response, oxidative stress response and metastasis in AsPc-1 metastatic pancreatic cancer cell line.

Entities:  

Keywords:  AsPC-1; Drug metabolism; NRF2; Oxidative stress; Pancreatic cancer; tBHQ

Year:  2014        PMID: 25540678      PMCID: PMC4269820          DOI: 10.1007/s13258-014-0253-2

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


Introduction

Every cell is inevitably exposed to extracellular and intracellular oxidative stress, every moment (Finkel 2011; Ma 2010). The nuclear factor erythroid 2-related factor 2 (NRF2 or NFE2L2) is a master transcription factor that activates a battery of genes which have roles in oxidative stress responses, detoxifications, and drug resistances (Bryan et al. 2013; Ma 2013; Mitsuishi et al. 2012; Niture et al. 2014). NRF2 binds to a DNA element, named antioxidant response element (ARE), in the promoter regions of its target genes to activate transcription of these genes (Nguyen et al. 2003). The target genes of NRF2 includes (a) antioxidant genes such as NAD(P)H dehydrogenase [quinone] 1 (NQO1), heme oxygenase (decycling) 1 (HMOX1), superoxide dismutase [Cu–Zn] (SOD1), and glutamate-cysteine ligase catalytic subunit (GCLC); (b) detoxification genes including glutathione S-transferase A3 (GSTA3) and thioredoxin reductase 1, cytoplasmic (TXNRD1); (c) and drug resistance genes such as ATP-binding cassette sub-family G member 2 (ABCG2) and ATP-binding cassette, sub-family C (CFTR/MRP), member 5 (ABCC5) (Malhotra et al. 2010; Nguyen et al. 2003). Reactive oxygen species (ROS), which are produced by various exogenous or endogenous sources, are double-edge swords. Under tight cellular control, ROS act as important signaling molecules to regulate diverse cellular functions including transcriptional regulation and signal transduction (Corcoran and Cotter 2013; Finkel 2011; Jennings et al. 2013; Ma 2010; Ray et al. 2012). On the contrary uncontrolled production of ROS causes various human diseases through DNA damage and impaired cellular functions via oxidative stress (Acharya et al. 2010; Caputo et al. 2012; Kakehashi et al. 2013; Kryston et al. 2011; Saeidnia and Abdollahi 2013; Storr et al. 2013). As an ROS sensor, the level of NRF2 is tightly regulated by a set of proteins through proteasome-dependent proteloysis. The well-known negative regulator of NRF2 is the Kelch-like erythroid cell-derived protein with CNC homology-associated protein 1 (KEAP1). KEAP1 binds and destabilized NRF2 through ubiquitin-dependent proteasomal degradation under normal reducing condition (Bryan et al. 2013; Mitsuishi et al. 2012; Niture et al. 2014; Storr et al. 2013). NRF2 stability is also regulated by the CR6-interacting factor 1 (CRIF1) under both reducing and oxidative stress conditions (Kang et al. 2010) and the glycogen synthase kinase 3β (GSK3β)/β-transducin repeat-containing protein (β-TrCP) axis (Chowdhry et al. 2013; Rada et al. 2011; Rada et al. 2012). It has been reported that stability of NRF2 is also regulated by competitive protein–protein interaction to inhibit NRF2-KEAP1 binding by various proteins such as p21 (Chen et al. 2009), the Wilms tumor gene on X chromosome (WTX) (Camp et al. 2012), p62 (Komatsu et al. 2010), the partner and localizer of BRCA2 (PALB2) (Ma et al. 2012), the dipeptidyl peptidase III (DPP3) (Hast et al. 2013), and the breast cancer susceptibility gene 1 (BRCA1) (Gorrini et al. 2013). NRF2 functions as either a protector against tumorigenesis or oncogene (DeNicola et al. 2011; Kensler and Wakabayashi 2010; Loboda et al. 2008; Muller and Hengstermann 2012). Stability and activity of NRF2 is important in human diseases, especially in cancers. While NRF2 decreases tumor susceptibility in most carcinogenesis models, constitutive activation of NRF2 may enhance tumor cell proliferation and/or confer drug resistance in lung, pancreatic as well as colorectal cancer cells (Arlt et al. 2013; Bryan et al. 2013; Duong et al. 2014b; Homma et al. 2009; Hong et al. 2010; Lister et al. 2011; Mitsuishi et al. 2012; Niture et al. 2014; Singh et al. 2008; Storr et al. 2013; Yamadori et al. 2012). Indeed, NRF2 is up-regulated in many types of tumors through somatic mutations that block KEAP1-dependent regulation of NRF2 stability (Mitsuishi et al. 2012; Niture et al. 2014; Storr et al. 2013). Targeting NRF2 either by RNA interference or by small molecules inhibited tumor growth and increased efficacy of chemotherapy (Singh et al. 2008) or EGF-driven proliferation (Yamadori et al. 2012) in non-small cell lung cancer models and reduced the proliferation and drug-resistance in human lung cancer cells (Homma et al. 2009) or human pancreatic cancer cells (Arlt et al. 2013; Duong et al. 2014b; Hong et al. 2010; Lister et al. 2011). Additionally in primary murine cell models, oncogenes including K-Ras, B-Raf, and Myc increased the transcription of Nrf2 gene to activate antioxidant and detoxification program preferable for oncogenesis (Kang et al. 2014). Under these conditions, genetic targeting of K-RasG12D-driven Nrf2 impaired in vivo tumorigenesis (Kang et al. 2014). Taken together, genome-wide analysis of NRF2-responsive genes in specific cancer types will give insights on the context-dependent roles of NRF2. In this work we delineated NRF2-responsive genes in As-PC1 pancreatic cancer cell lines established from metastatic cancer cell in ascites fluid (Chen et al. 1982).

Materials and methods

Cell culture and reagents

AsPC-1 cells were obtained from the Korean Cell Line Bank (Seoul, Korea) and maintained in RPMI-1640 media (HyClone, Logan, UT) supplemented with 20 % FBS (Invitrogen, Carlsbad, CA) and 100 U/ml penicillin/streptomycin (Welgene, Daegu, Korea). The cells were cultured in a humidified 5 % CO2 incubator at 37 °C. The cell viability and cell counting were assessed by the Luna Automated Cell Counter (Logos Biosystems, Gyunggi-do, Korea). Tert-butylhydroquinone (tBHQ) was purchased from Sigma (St. Louis, MO) and stored at −20 °C dissolved in DMSO with small aliquots.

siRNA transfection

For NRF2 knockdown, exponentially proliferating cells were transfected with synthesized control siRNA (5′-gacgagcggcacgugcacauu-3′) or NRF2 specific siRNA (5′-gaguaugagcuggaaaaacuu-3′) (Hong et al. 2010), both purchased from Bioneer (Daejeon, Korea) using Lipofectamine 2000 (Invitrogen) according to the manufacturer’s protocol.

Cell cycle analysis

Cell cycle analysis was carried out by propidium iodide staining and laser detection of FL2 signal using FACSCalibur (BD Science, Franklin Lakes, NJ), and the data were analyzed by CellQuest Pro software (BD Science). After treatment (72 h for siRNA and 16 h for tBHQ treatment respectively), cells were washed with PBS, fixed 70 % ethanol, and stained with propidium iodide solution (20 μg/ml) containing RNaseA (100 μg/ml) after removal of ethanol.

RNA extraction

Total RNA from AsPC-1 cell lines were prepared with the RNeasy Mini kit (Qiagen, Valencia, CA) according to the manufacturer’s protocols. The purity and integrity of RNA sample was evaluated by determining the OD260/230 ratio, 28S/18S ratio, peak pattern and electrophoretic migration patterns on Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA).

Western blot analysis

After 72 h of siRNA treatment or 16 h of tBHQ treatment, AsPC-1 cells were lysed in 10 mM Tris–HCl (pH 7.0), 100 mM NaCl, 1 % triton X-100, 1 mM DTT, 20 μg/ml aprotinin, 2.5 μg/ml leupeptin, and 0.5 mM PMSF. Lysates were resolved on 10 % sodium dodecyl sulfate–polyacrylamide by gel electrophoresis (SDS-PAGE) and transferred onto 0.45 μm pore size Polyvinylidene fluoride (PVDF) membranes (Millipore, Bedford, MA), and immunoblotted with following antibodies: Cyclin B1 antibody (CST#4135, Cell Signaling Technology, Danvers, MA), Cyclin D1 (CST #2922, Cell Signaling Technology), NRF2 (sc-103032, Santa Cruz Biotechnology, Santa Cruz, CA), Erk-1 (sc-94, Santa Cruz Biotechnology), Cyclin A (sc-239, Santa Cruz Biotechnology). Horseradish peroxidase (HRP)-conjugated goat anti-rabbit (sc-2004, Santa Cruz Biotechnology) or anti-mouse antibodies (sc-2005, Santa Cruz Biotechnology) were used as secondary antibodies.

cDNA microarray analysis

The cDNA microarray analysis was carried out with fluorescence labeling of cRNA and hybridization using 4 × 44 K Human whole genome microarray (Agilent technologies, Palo Alto, CA) for tBHQ treated cells. For cDNA microarray analysis of NRF2 siRNA treated cell, Ilumina Biochip system (HT-12) was used. For each microarray three RNA samples of independent experiment were used.

Statistical analysis

Data were analyzed by either Student’s t test (tBHQ treated sample) or LPE test (siRNA treated sample) (Jain et al. 2003) and the results have been expressed p values and mean values.

Results and discussion

The AsPC-1 pancreatic cancer cell line, used in this work had been established from metastatic abdominal ascites fluid cells originated from metastatic pancreatic cancer (Chen et al. 1982). It contains well known mutations of pancreatic cancer including, KRAS (p.G12D), TP53 (p.C135fsP35), SMAD4 (p.R100T), and other mutations common in cancers as well: COL2A1 (c.915 + 3A > G), FBXW7 (p.R465C), HEY1 (p.I178V), KIF5B (p.Q467K), MLL (p.P3536H), RNF43 (p.S720*) (Deer et al. 2010). The relative expression level of NRF2 between various pancreatic cancer cell lines including immortalized human pancreatic ductal epithelial cell lines (HPDE) using GEO2R analysis with pre-deposited microarray data (Thu et al. 2014) at NCBI Gene Expression Ominbus (http://www.ncbi.nlm.nih.gov/geo/geo2r/?acc=GSE40099&platform=GPL6480) is presented in supplementary Fig. 1. NRF2 was reported to be increased in pancreatic cancer cell lines and the nuclear level of NRF2 in AsPC-1 cell line has been reported to be relatively higher than in immortalized pancreatic ductal epithelial cells (Hong et al. 2010; Lister et al. 2011).
Fig. 1

Cell cycle analysis of NRF2 siRNA-treated or tBHQ-treated AsPC-1 cell line. a A representative image of FL2 histogram of FACS analysis. The figure in the lower right quadrant is combined FACS analysis images with notion of 2 and 4 N nuclear ploidy. b Immunoblot anaylysis of tBHQ-treated (100 μM 16 h) or siRNA-treated samples (72 h). AsPC-1 cells were seeded in 6-well plates and treated with tBHQ (or DMSO) or NRF2 siRNA (or control siRNA). Cells were harvested and whole cell lysates were prepared, electrophoresed and transferred onto PVDF membranes. Immunoblotting was performed with indicated antibodies and Erk-1 was used as loading control

Cell cycle analysis of NRF2 siRNA-treated or tBHQ-treated AsPC-1 cell line. a A representative image of FL2 histogram of FACS analysis. The figure in the lower right quadrant is combined FACS analysis images with notion of 2 and 4 N nuclear ploidy. b Immunoblot anaylysis of tBHQ-treated (100 μM 16 h) or siRNA-treated samples (72 h). AsPC-1 cells were seeded in 6-well plates and treated with tBHQ (or DMSO) or NRF2 siRNA (or control siRNA). Cells were harvested and whole cell lysates were prepared, electrophoresed and transferred onto PVDF membranes. Immunoblotting was performed with indicated antibodies and Erk-1 was used as loading control An antioxidant tBHQ increases the level of NRF2 protein by stabilization and stimulates the expression of oxidative stress metabolizing genes (Hirose et al. 1993; Li et al. 2005). Prior to cDNA microarray we tested whether tBHQ or NRF2 siRNA treatment can change the cell cycle of AsPC-1 cell line. As shown in Fig. 1a no apparent change in cell cycle distribution was observed along with no accumulation of sub G1 population. Immunoblot analysis also revealed that no apparent change of cell cycle marker proteins including cyclin B1 and cyclin D. The level of NRF2 protein was shown to be increased in tBHQ treated cells and decreased in NRF2 siRNA treated sample (Fig. 1b). To identify changed genes upon treatment of 100 μM tBHQ, we used the Agilent 44 k whole genome cDNA array chip. We also used the Ilumina HT-12 whole genome cDNA array chip for NRF2 siRNA mediated gene expression analysis. Three independent RNA samples were used in these experiments. After removal of marginal or absent signal spots, 20,312 positive spots were obtained from tBHQ-treated sample and 16,423 positive spots were obtained from NRF2 siRNA-treated sample. Hierarchical cluster image of NRF2 siRNA treatment samples reveals that the gene expression pattern of three siRNA-treated sample and three control siRNA-treated samples are adequately clustered (Fig. 2a). Figure 2b shows the hierarchical cluster image of cDNA microarray of tBHQ-treated sample indicating three independent samples share concordant RNA expression pattern.
Fig. 2

Hierarchical cluster image of the gene expression profiles of cDNA microarray analysis. a cDNA array of NRF2 siRNA-treated (2TRE, 3 TRE, 4 TRE) and control siRNA-treated sample (2 Con, 3 Con, 4 Con). Each mRNA sample was labeled and hybridized with cDNA array chip (HT 12, Ilumina) and cluster analysis was carried out. b cDNA array of tBHQ-treated versus DMSO-treated AsPC-1 cells. Two sets of mRNA (tBHQ vs DMSO) with triplicate samples were labeled differently and hybridized. The red color indicated up-regulated genes and the green color indicates down-regulated genes

Hierarchical cluster image of the gene expression profiles of cDNA microarray analysis. a cDNA array of NRF2 siRNA-treated (2TRE, 3 TRE, 4 TRE) and control siRNA-treated sample (2 Con, 3 Con, 4 Con). Each mRNA sample was labeled and hybridized with cDNA array chip (HT 12, Ilumina) and cluster analysis was carried out. b cDNA array of tBHQ-treated versus DMSO-treated AsPC-1 cells. Two sets of mRNA (tBHQ vs DMSO) with triplicate samples were labeled differently and hybridized. The red color indicated up-regulated genes and the green color indicates down-regulated genes Further statistic tests after normalization of positive spots provide statistically significant 533 array sets from tBHQ-treated samples (supplementary Table 1) and 189 array sets from NRF2 siRNA-treated samples (supplementary Table 2). Table 1 shows a list of genes which show more than two fold increase of expression (p < 0.05) after treatment of tBHQ (57 genes). Among them AKR1B10, FCER1G, AKR1B1, AKR1B15, AADAC, GRK5, HDAC9, AKR1C1, CYP4F3, CYP4F2, ALDH3A1, FANCD2, TXNRD1 and SLC7A11 are classified as members of drug response genes or oxidative stress response genes according to gene ontology (Table 1). The lists of genes decreased by tBHQ treatment are listed in Table 2. Four genes classified as drug response or oxidative stress response genes were identified: PDE7A, TGM1, CYTH1 and EPS15. The list of top 50 genes which were decreased by NRF2 siRNA treatment are presented in Table 3. The listing is arbitrary but these genes showed more than 40 % reduction in expression. The siRNA mediated knockdown of NRF2 significantly reduced the expression of oxidative stress or drug response genes including, AKR1B10, ALDH1A1, HGD, TFF1, GPX2, ALDH3A1, PPP1R1B, AKR1C4, ABCB6, ABCC3, NFE2L2, EPHX1, ASGR1, SLC2A5, LGALS1 and MTR (Table 3). The expression of NRF2 itself was significantly (p < 0.001, 50 % reduction) decreased by the treatment of siRNA reflecting the reliable quality control of siRNA treatment. On the contrary to NRF2 siRNA treatment the change of NRF2 expression by the tBHQ treatment was not significant (data not shown) since tBHQ stabilized NRF2 protein but had no effect on the mRNA level of NRF2. The array results of increased genes under the NRF2 activated status (tBHQ treatment) and decreased genes by the NRF2 siRNA treatment seem to be coincide. We listed top 50 gene records with increased expression upon NRF2 siRNA treatment in Table 4. Ten genes classified as drug response or oxidative stress response genes were identified as increasing genes in NRF2 siRNA treatment: CD36, ALPP, HLA-B, TGM2, FABP3, CTSH, CYR61, TIMP2, PRNP and NR4A2. We also analyzed metastasis related genes in Tables 1, 2, 3 and 4.
Table 1

List of genes with (57 records) with more than two fold increase (p < 0.05) in tBHQ-treated AsPC-1 cells

Probe ID (Agilent 44 k)Gene symbolFold changep ValueGene name
A_23_P415015ATL210.5285.52E−04Atlastin GTPase 2
A_33_P3416588RIT210.3416.05E−04Ras-like without CAAX 2
A_23_P83134 GAS1 M 4.7521.13E−03Growth arrest-specific 1
A_33_P3257155SMAP14.6974.41E−05Small ArfGAP 1
A_24_P129341 AKR1B10 D, O 4.6948.83E−04Aldo–keto reductase family 1, member B10
A_23_P93641 AKR1B10 D, O 4.6528.91E−04Aldo–keto reductase family 1, member B10
A_33_P3272628 FCER1G D 4.6211.31E−04Fc fragment of IgE, high affinity I, receptor for; gamma polypeptide
A_23_P258190 AKR1B1 D, O 4.5889.03E−04Aldo–keto reductase family 1, member B1
A_23_P80570 AADAC D 4.4889.31E−04Arylacetamide deacetylase (esterase)
A_33_P3244640 GRK5 D, M 4.4331.06E−03G protein-coupled receptor kinase 5
A_33_P3380992 AKR1B15 D 4.4159.39E−04Aldo–keto reductase family 1, member B15
A_33_P3304688TNAP4.2721.06E−03TRAFs and NIK-associated protein
A_23_P404162 HDAC9 D, O, M 4.1761.07E−03Histone deacetylase 9
A_33_P3254751LOC1001313553.7031.67E−03Hypothetical protein LOC100131355
A_33_P3265394WDR743.0712.51E−03WD repeat domain 74
A_23_P257971 AKR1C1 D, O, M 3.0051.59E−03Aldo–keto reductase family 1, member C1
A_23_P323143ZNF7672.9191.76E−04Zinc finger family member 767
A_33_P3350853LOC2027812.8851.74E−04Hypothetical LOC202781
A_23_P96623OPN1MW2.8792.65E−03Opsin 1 (cone pigments), medium-wave-sensitive
A_33_P3396956C1orf1722.8741.87E−03Chromosome 1 open reading frame 172
A_23_P67453TNNI32.8462.95E−04Troponin I type 3 (cardiac)
A_23_P46238CELA2A2.8232.08E−03Chymotrypsin-like elastase family, member 2A
A_24_P943949LRRC8B2.7753.48E−03Leucine rich repeat containing 8 family, member B
A_23_P125042ZNF2222.7633.62E−03Zinc finger protein 222
A_33_P3268234KRT392.6923.44E−03Keratin 39
A_32_P180741TNK22.6903.52E−03Tyrosine kinase, non-receptor, 2
A_24_P68908LOC3448872.6002.11E−03Similar to hCG2041270
A_33_P3314401CLDN162.5803.96E−03Claudin 16
A_33_P3365117 AKR1C1 D, O, M 2.5634.45E−03Aldo–keto reductase family 1, member C1
A_24_P152968 AKR1C1 D, O, M 2.5622.18E−03Aldo–keto reductase family 1, member C1
A_23_P63432RHBDL22.5092.89E−03Rhomboid, veinlet-like 2 (Drosophila)
A_33_P3294277 CYP4F3 D 2.4892.59E−03Cytochrome P450, family 4, subfamily F, polypeptide 3
A_23_P28697HAAO2.3944.38E−033-hydroxyanthranilate 3,4-dioxygenase
A_24_P678418DICER1-AS2.3782.74E−03Hypothetical locus FLJ45244
A_23_P46222TRIM462.3702.85E−03Tripartite motif containing 46
A_33_P3389363C19orf542.3643.17E−03Chromosome 19 open reading frame 54
A_23_P502047CHRD2.3453.99E−03Chordin
A_23_P50710 CYP4F2 D 2.3404.52E−03Cytochrome P450, family 4, subfamily F, polypeptide 2
A_33_P3315239ZNF72.3374.01E−03Zinc finger protein 7
A_33_P3336287SEC61A22.3224.20E−03Sec61 alpha 2 subunit (S. cerevisiae)
A_23_P301521KIAA14622.2756.97E−03KIAA1462
A_33_P3420900PATE22.2721.54E−03Prostate and testis expressed 2
A_23_P218793XPNPEP32.1873.38E−03X-prolyl aminopeptidase (aminopeptidase P) 3, putative
A_33_P3265714C2orf612.1841.05E−02Chromosome 2 open reading frame 61
A_33_P3252381PCA32.1671.36E−03Prostate cancer antigen 3 (non-protein coding)
A_33_P3378915ARHGEF182.1643.58E−03Rho/Rac guanine nucleotide exchange factor (GEF) 18
A_33_P3397520KRTAP10-122.1374.86E−03Keratin associated protein 10-12
A_24_P307135TNXB2.1117.60E−03Tenascin XB
A_33_P3259548WDR5B2.0974.74E−03WD repeat domain 5B
A_23_P38190ORMDL32.0844.14E−03ORM1-like 3 (S. cerevisiae)
A_23_P3956C1QTNF12.0693.97E−03C1q and tumor necrosis factor related protein 1
A_33_P3238433 ALDH3A1 D, O 2.0633.96E−03Aldehyde dehydrogenase 3 family, memberA1
A_23_P345678 FANCD2 D, O, M 2.0465.27E−03Fanconi anemia, complementation group D2
A_33_P3351120 TXNRD1 D,O 2.0424.10E−03Thioredoxin reductase 1
A_33_P3258581LOC3897912.0325.19E−03Hypothetical LOC389791
A_33_P3242623 SLC7A11 D, M 2.0114.31E−03Solute carrier family 7, member 11
A_24_P223163NAF12.0064.47E−03Nuclear assembly factor 1 homolog (S. cerevisiae)

The fold increased/decreased values are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style

Table 2

Top 50 gene records with decreased expression (p < 0.05) in tBHQ-treated AsPC-1 cells

Probe ID (Agilent 44 k)SymbolFold changep ValueGene name
A_23_P337849CELF30.3981.10E−02CUGBP, Elav-like family member 3
A_24_P322229RASL10B0.4667.41E−03RAS-like, family 10, member B
A_33_P3213512COQ50.4681.24E−02Coenzyme Q5 homolog, methyltransferase (S. cerevisiae)
A_23_P60627 ALOX15B M 0.4751.30E−02Arachidonate 15-lipoxygenase, type B
A_33_P3356004UCKL1-AS10.5423.18E−02UCKL1 antisense RNA 1 (non-protein coding)
A_33_P3247678LOC1001308760.5507.40E−03Uncharacterized LOC100130876
A_33_P3245679LOC1001299400.5542.98E−02Uncharacterized LOC100129940
A_23_P146325ASAP1-IT10.5669.59E−03ASAP1 intronic Transcript 1 (non-protein coding)
A_32_P110016LOC7278690.5673.94E−02Uncharacterized LOC727869
A_23_P59988SLC35G50.5672.72E−02Solute carrier family 35, member G5
A_33_P3281363TRIP120.5731.24E−02Thyroid hormone receptor interactor 12
A_23_P114445MAGEE10.5771.23E−02Melanoma antigen family E, 1
A_24_P360529 PDE7A D 0.5893.23E−02Phosphodiesterase 7A
A_23_P18055C3orf510.5971.85E−02Chromosome 3 open reading frame 51
A_33_P3544880LOC1429370.6221.05E−02Uncharacterized protein BC008131
A_33_P3576797LOC1588630.6221.17E−02Uncharacterized LOC158863
A_24_P314597KIAA0319L0.6311.73E−02KIAA0319-like
A_33_P3272399LOC6454270.6322.14E−02Uncharacterized LOC645427
A_33_P3256500ATXN20.6362.07E−02Ataxin 2
A_33_P3248265LTB0.6472.48E−02Lymphotoxin beta (TNF superfamily, member 3)
A_33_P3522511KIAA04850.6493.41E−02Uncharacterized LOC57235
A_33_P3319134LOC1005061910.6493.60E−02Uncharacterized protein LOC100506191
A_24_P693321LOC1001909860.6496.81E−03Uncharacterized LOC100190986
A_23_P65618 TGM1 D 0.6532.67E−02Transglutaminase 1
A_33_P3249259TGM60.6561.57E−02Transglutaminase 6
A_23_P108932RPL23AP320.6584.13E−02Ribosomal protein L23a pseudogene 32
A_33_P3333777LOC1001293870.6613.27E−02Uncharacterized LOC100129387
A_23_P326142C7orf540.6633.05E−02Chromosome 7 open reading frame 54
A_33_P3335840WDR330.6663.53E−02WD repeat domain 33
A_33_P3324137PRO06280.6681.90E−02Uncharacterized LOC29053
A_33_P3393010PKDCC0.6692.08E−02Protein kinase domain containing, cytoplasmic homolog (mouse)
A_33_P3321372CNTNAP30.6731.20E−02Contactin associated protein-like 3
A_33_P3250018HCFC20.6734.56E−02Host cell factor C2
A_33_P3762913LOC1002165460.6773.29E−02uncharacterized LOC100216546
A_33_P3223990TPM30.6803.66E−02Tropomyosin 3
A_33_P3503937LOC2845810.6831.31E−02Uncharacterized LOC284581
A_33_P3357382POGZ0.6851.94E−02Pogo transposable element with ZNF domain
A_33_P3276913TTC30.6853.02E−02Tetratricopeptide repeat domain 3
A_33_P3363091VAC140.6852.87E−02Vac14 homolog (S. cerevisiae)
A_33_P3356525FLJ454820.6861.22E−02Uncharacterized LOC645566
A_33_P3310751LOC1001322490.6904.21E−02Uncharacterized LOC100132249
A_33_P3345743PFN1P20.6912.36E−02Profilin 1 pseudogene 2
A_23_P6561EBLN20.6921.29E−02Endogenous Bornavirus-like nucleoprotein 2
A_23_P59613 FZD9 M 0.6921.63E−02Frizzled family receptor 9
A_33_P3397795C14orf1350.6941.31E−02Chromosome 14 open reading frame 135
A_33_P3304533RNF2070.6962.21E−02Ring finger protein 207
A_33_P3380405 CYTH1 D 0.6991.98E−02Cytohesin 1
A_33_P3538279PRO28520.6992.61E−02Uncharacterized protein PRO2852
A_23_P60793ASMTL-AS10.7033.95E−02ASMTL antisense RNA 1 (non-protein coding)
A_33_P3371752 EPS15 D, M 0.7041.52E−02Epidermal growth factor receptor pathway substrate 15
A_33_P3355371TTC9C0.7043.17E−02Tetratricopeptide repeat domain 9C

The fold increased/decreased values are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style

Table 3

Top 50 gene records with decreased expression (p < 0.05) in NRF2 siRNA-treated AsPC-1 cells

Probe IDIluminaSymbolFold changep Value (LPE t-test)Gene name
ILMN_1672148 AKR1B10 D, O 0.2410.00E+00Aldo–keto reductase family 1, member B10 (aldose reductase)*
ILMN_1709348 ALDH1A1 D, O, M 0.2530.00E+00Aldehyde dehydrogenase 1 family, member A1
ILMN_2096372 ALDH1A1 D, O, M 0.3584.86E−12Aldehyde dehydrogenase 1 family, member A1
ILMN_2198239 HGD O 0.3935.28E−08Homogentisate 1,2-dioxygenase (homogentisate oxidase)
ILMN_1794829C6orf1170.4101.82E−07Chromosome 6 open reading frame 117
ILMN_1729117COL5A20.4181.54E−08Collagen, type V, alpha 2
ILMN_1811387 TFF3 M 0.4260.00E+00Trefoil factor 3 (intestinal)
ILMN_1781745C9orf1520.4451.43E−06Chromosome 9 open reading frame 152
ILMN_1722489 TFF1 D, O, M 0.4451.24E−10Trefoil factor 1
ILMN_1800091RARRES10.4651.40E−06Retinoic acid receptor responder (tazarotene induced) 1
ILMN_2133205 GPX2 D, O 0.4693.59E−10Glutathione peroxidase 2 (gastrointestinal)
ILMN_1702503 ALDH3A1 D, O 0.4813.84E−06Aldehyde dehydrogenase 3 family, memberA1*
ILMN_2412336AKR1C20.4883.94E−05Aldo–keto reductase family 1, member C2
ILMN_2304495 PPP1R1B D, O 0.4891.57E−05Protein phosphatase 1, regulatory (inhibitor) subunit 1B
ILMN_1684873ARSD0.4915.26E−05Arylsulfatase D
ILMN_1772951ST6GALNAC10.4921.06E−07ST6 (α-N-acetyl-neuraminyl-2,3-β-galactosyl-1, 3)-N-acetylgalactosaminide α-2,6-sialyltransferase 1
ILMN_1687757 AKR1C4 O 0.5061.81E−04Aldo–keto reductase family 1, member C4
ILMN_2193980 ABCB6 D 0.5095.44E−06ATP-binding cassette, sub-family B (MDR/TAP), member 6
ILMN_2161330 SPDEF M 0.5132.61E−03SAM pointed domain containing ets transcription factor
ILMN_1677814 ABCC3 D, O 0.5183.96E−06ATP-binding cassette, sub-family C (CFTR/MRP), member 3
ILMN_1790909 NFE2L2 D, O 0.5196.27E−04Nuclear factor (erythroid-derived 2)-like 2
ILMN_1680652SELENBP10.5203.74E−04Selenium binding protein 1
ILMN_1756685DEPDC60.5236.27E−04DEP domain containing 6
ILMN_1704353IGSF30.5256.27E−04Immunoglobulin superfamily, member 3
ILMN_1743620RARRES10.5281.47E−03Retinoic acid receptor responder (tazarotene induced) 1
ILMN_1752932MPZL20.5322.94E−03Myelin protein zero-like 2
ILMN_1701025 EPHX1 D, O 0.5354.13E−05Epoxide hydrolase 1, microsomal (xenobiotic)
ILMN_1680738C5orf130.5436.93E−03Chromosome 5 open reading frame 13
ILMN_1653956LOC6446240.5456.70E−03PREDICTED: hypothetical LOC6446241
ILMN_1769013 ASGR1 D, O 0.5452.13E−04Asialoglycoprotein receptor 1
ILMN_1748352 CTSL2 M 0.5473.16E−03Cathepsin L2
ILMN_1659984MEP1A0.5503.94E−05Meprin A, alpha (PABA peptide hydrolase)
ILMN_1736042ME10.5512.91E−03Malic enzyme 1, NADP(+)-dependent, cytosolic
ILMN_1779015ZNF4670.5541.05E−03Zinc finger protein 467
ILMN_1761247 PIR M 0.5611.83E−02Pirin (iron-binding nuclear protein)
ILMN_2255579RAB370.5656.27E−04RAB37, member RAS oncogene family
ILMN_1726114SLC45A30.5661.96E−06Solute carrier family 45, member 3
ILMN_1671337 SLC2A5 D, O 0.5666.19E−03Solute carrier family 2 (facilitated glc/fruc transporter), member 5
ILMN_2278335LOC4412820.5674.28E−04Similar to aldo–keto reductase family 1, member B10
ILMN_1712305CYBRD10.5726.27E−04Cytochrome b reductase 1
ILMN_2383383 PIR M 0.5761.74E−02Pirin (iron-binding nuclear protein)
ILMN_1657547CCDC340.5782.33E−04Coiled-coil domain containing 34
ILMN_1678692MPRIP0.5799.67E−03Myosin phosphatase Rho interacting protein
ILMN_1723978 LGALS1 D, O, M 0.5795.76E−03Lectin, galactoside-binding, soluble, 1
ILMN_2087692CYBRD10.5811.45E−03Cytochrome b reductase 1
ILMN_1802100ADAM280.5873.29E−02ADAM metallopeptidase domain 28
ILMN_1761733HLA-DMB0.5877.93E−03Major histocompatibility complex, class II, DM beta
ILMN_1695397LOC6441510.5881.64E−03PREDICTED: similar to calpain 8 (LOC644151)
ILMN_1670801 MTR D, O 0.5913.80E−025-methyltetrahydrofolate-homocysteine methyltransferase
ILMN_1699728BTD0.5911.74E−02Homo sapiens biotinidase

The fold changes are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style

Table 4

Top 50 gene records with increased expression (p < 0.05) in NRF2 siRNA-treated AsPC-1 cells

Probe ID IluminaSymbolFold changep Value (LPE t-test)Gene name
ILMN_1796094 CD36 D, O, M 4.4764.78E−25CD36 molecule (thrombospondin receptor)
ILMN_1784863 CD36 D, O, M 3.4164.13E−13CD36 molecule (thrombospondin receptor)
ILMN_1656501DUSP52.6641.24E−08Dual specificity phosphatase 5
ILMN_1679262 DPYSL3 M 2.3897.67E−11Dihydropyrimidinase-like 3
ILMN_1693789 ALPP D, O 2.2961.82E−07Alkaline phosphatase, placental (Regan isozyme)
ILMN_1700144ITGA102.2417.76E−06Integrin, alpha 10
ILMN_1787691CITED42.1575.80E−06Cbp/p300-interacting transactivator, with Glu/Asp-rich carboxy-terminal domain, 4
ILMN_2108735EEF1A22.0946.43E−03Eukaryotic translation elongation factor 1 alpha 2
ILMN_1813386CORO62.0734.73E−05Coronin 6
ILMN_2368530 IL32 M 2.0421.06E−07Interleukin 32
ILMN_1776861HAP12.0392.25E−04Huntingtin-associated protein 1
ILMN_2317581SHANK32.0232.48E−05SH3 and multiple ankyrin repeat domains 3
ILMN_2317580SHANK31.9501.28E−03SH3 and multiple ankyrin repeat domains 3
ILMN_2049417TMEM86B1.9208.22E−04Transmembrane protein 86B
ILMN_1778010 IL32 M 1.9192.26E−04Interleukin 32
ILMN_1697460REEP61.9154.15E−03Receptor accessory protein 6
ILMN_1710553TMEM151A1.9002.61E−03Transmembrane protein 151A
ILMN_1678086CCDC74A1.8942.68E−03Coiled-coil domain containing 74A
ILMN_1778401 HLA-B D, O, M 1.8788.82E−05Major histocompatibility complex, class I, B
ILMN_1709659TMEM151A1.8681.74E−02Transmembrane protein 151A
ILMN_1734707CHST131.8573.42E−03Carbohydrate (chondroitin 4) sulfotransferase 13
ILMN_1794501 HAS3 M 1.8401.28E−03Hyaluronan synthase 3
ILMN_1674580TRIM361.8341.67E−03Tripartite motif-containing 36
ILMN_1761912MGAT11.8241.29E−02Mannosyl (alpha-1,3-)-glycoprotein beta-1,2-N-acetylglucosaminyl transferase
ILMN_1679267 TGM2 D, O, M 1.8181.28E−03Transglutaminase 2
ILMN_2136971 FABP3 D, O, M 1.8155.45E−03Fatty acid binding protein 3, muscle and heart
ILMN_2077680CLDND21.8142.15E−03Claudin domain containing 2
ILMN_1669362IGFBP61.8113.15E−06Insulin-like growth factor binding protein 6
ILMN_2361737TRIM361.8092.94E−03Tripartite motif-containing 36
ILMN_1805842FHL11.7961.82E−03Four and a half LIM domains 1
ILMN_2390853 CTSH D, O 1.7802.68E−03Cathepsin H
ILMN_1676712LOC6455531.7781.28E−03PREDICTED: hypothetical LOC645553
ILMN_2171384 CXCL5 M 1.7661.17E−02Chemokine (C-X-C motif) ligand 5
ILMN_1780057RENBP1.7646.43E−03Renin binding protein
ILMN_2188264 CYR61 O, M 1.7595.85E−03Cysteine-rich, angiogenic inducer, 61
ILMN_1782305 NR4A2 O, M 1.7449.73E−03Nuclear receptor subfamily 4, group A, member 2
ILMN_1792538CD71.7403.63E−02CD7 molecule
ILMN_1705814KRT801.7389.51E−03Keratin 80
ILMN_1721876 TIMP2 O, M 1.7333.53E−02TIMP metallopeptidase inhibitor 2
ILMN_1655915 MMP11 M 1.7252.02E−02Matrix metallopeptidase 11 (stromelysin 3)
ILMN_1656361LOC2011751.7221.43E−02Hypothetical protein LOC201175
ILMN_1785646PMP221.7204.71E−02Peripheral myelin protein 22
ILMN_1748844CNKSR31.7131.29E−02CNKSR family member 3
ILMN_2360415 PRNP O 1.7132.15E−02Prion protein (PRNP)2
ILMN_1814296TRPM61.7112.15E−03Transient receptor potential cation channel, subfamily M, member 6
ILMN_1667295VASN1.7061.84E−02Vasorin
ILMN_1727466KCNMB41.7005.76E−03Potassium large conductance calcium-activated channel, subfamily M, beta member 4
ILMN_2405009NBL11.6952.38E−02Neuroblastoma, suppression of tumorigenicity 1
ILMN_1801246IFITM11.6946.27E−04Interferon induced transmembrane protein 1 (9–27)
ILMN_2339955 NR4A2 O, M 1.6883.79E−02Nuclear receptor subfamily 4, group A, member 2

The fold changes are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style

List of genes with (57 records) with more than two fold increase (p < 0.05) in tBHQ-treated AsPC-1 cells The fold increased/decreased values are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style Top 50 gene records with decreased expression (p < 0.05) in tBHQ-treated AsPC-1 cells The fold increased/decreased values are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style Top 50 gene records with decreased expression (p < 0.05) in NRF2 siRNA-treated AsPC-1 cells The fold changes are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style Top 50 gene records with increased expression (p < 0.05) in NRF2 siRNA-treated AsPC-1 cells The fold changes are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style In the cDNA array data of tBHQ-treated cells and NRF2 siRNA-treated samples, total 18 overlapping genes could be obtained with statistical significance (p < 0.05) (Table 5). Unexceptionally 17 genes with increased mRNA expression under the tBHQ treatment showed decreased expression by NRF2 siRNA treatment. The metastasis genes whose relationship with NRF2 was reported previously are as follows: AKR1B10 (Agyeman et al. 2012; Nishinaka et al. 2011), ALDH3A1 (Agyeman et al. 2012), TXNRD1 (Sakurai et al. 2005), AKR1C4 (Ebert et al. 2011), ALDH1A1 (Duong et al. 2014a), PIR (Hubner et al. 2009), GPX2 (Banning et al. 2005), UGDH (Loignon et al. 2009), SRXN1 (Soriano et al. 2008), ME1 (Thimmulappa et al. 2002), ABCB6 (Campbell et al. 2013), EPHX1 (Su et al. 2014), NQO1 (Agyeman et al. 2012; Loignon et al. 2009; Thimmulappa et al. 2002), and ABCC3 (Adachi et al. 2007). Interestingly, we identified three new genes including ALDH3A2, ASPH, and KISS1 as NRF2-responsive genes in this study. To date no study has been reported the relationship of NRF2 with ALDH3A2, ASPH, and KISS1. KISS1 is a protein with 145 amino acid residues and its role is known as an inhibitor of metastasis (Ji et al. 2013). Overexpression KISS1 inhibits metastatic colony formation in ovarian cancer cell lines (Jiang et al. 2005). However, the role of KISS1 in pancreatic cancers has not yet been elucidated. Previously, a report displayed that NRF2 deficient mice showed higher number of pulmonary metastasis than wild-type mice (Satoh et al. 2010). ShRNA mediated knockdown of NRF2 also enhanced cellular plasticity and motility in HepG2 cell (Rachakonda et al. 2010). However, in esophageal squamous cancer cell line NRF2 suppression downregulated the migration and invasion (Shen et al. 2014). Currently, the potential role of NRF2 in regulation of metastasis is under active investigation.
Table 5

List of statistically significant overlapping genes between two microarray data (tHBQ mediated activation of NRF2 and siRNA mediated depletion of NRF2)

SymbolProbe ID agilentProbe ID Ilumina (ILMN_)Fold change (TBHQ)p ValueFold change (SiRNA)p Value (LPE t test)Gene name
AKR1B10 D, O A_24_P12934116721484.6948.83E−040.2410.00E+00Aldo–keto reductase family 1, member B10 (aldose reductase)
ALDH3A1 D, O A_33_P323843317025032.0633.96E−030.4813.84E−06Aldehyde dehydrogenase 3 family, member A1
TXNRD1 D, O A_33_P335112017170562.0424.10E−030.6312.46E−03Thioredoxin reductase 1
PIR M A_23_P13703517612471.9824.53E−030.5611.83E−02Pirin (iron-binding nuclear protein)
GPX2 D, O A_23_P303821332051.9714.64E−030.4693.59E−10Glutathione peroxidase 2 (gastrointestinal)
AKR1C4 O A_33_P327229116877571.9005.30E−030.5061.81E−04Aldo–keto reductase family 1, member C4 (chlordecone reductase; 3-alpha hydroxysteroid dehydrogenase, type I; dihydrodiol dehydrogenase 4)
UGDH D, M A_33_P339660717295631.8565.80E−030.6194.86E−02UDP-glucose 6-dehydrogenase
ALDH1A1 D, O, M A_23_P8309817093481.8266.21E−030.2530.00E+00Aldehyde dehydrogenase 1 family, member A1
SRXN1 O A_23_P32011318048221.7796.92E−030.6894.00E−02Sulfiredoxin 1
ME1A_23_P819617360421.7717.33E−030.5512.91E−03Malic enzyme 1, NADP(+)-dependent, cytosolic
ABCB6 D A_23_P544121939801.5751.27E−020.5095.44E−06ATP-binding cassette, sub-family B (MDR/TAP), member 6
EPHX1 D, O A_23_P3453717010251.5381.46E−020.5354.13E−05Epoxide hydrolase 1, microsomal (xenobiotic)
HGD O A_23_P25016421982391.5181.58E−020.3935.28E−08Homogentisate 1,2-dioxygenase
NQO1 D, O, M A_23_P20666117202821.4961.72E−020.6591.65E−02NAD(P)H dehydrogenase, quinone 1
ALDH3A2 D, O A_33_P333661717948251.4631.99E−020.6181.60E−02Aldehyde dehydrogenase 3 family, member A2
ASPHA_24_P29524523529341.3753.11E−020.6152.20E−02Aspartate beta-hydroxylase
ABCC3 D, O A_23_P20750716778141.3304.09E−020.5183.96E−06ATP-binding cassette, sub-family C (CFTR/MRP), member 3
KISS1 M A_23_P12489216694040.7714.70E−021.5343.29E−02KiSS-1 metastasis-suppressor

The fold change values are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style

List of statistically significant overlapping genes between two microarray data (tHBQ mediated activation of NRF2 and siRNA mediated depletion of NRF2) The fold change values are mean of three independent samples. Superscripts were assigned to drug response genes (D), oxidative stress response genes (O) and metastasis (M) related genes according to gene ontology. These gene symbols are presented in bold style Below is the link to the electronic supplementary material. Supplementary material 1 (DOC 31 kb) Supplementary material 2 (TIFF 639 kb) Supplementary material 3 (XLS 1103 kb) Supplementary material 4 (XLS 686 kb)
  63 in total

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Authors:  Nitin Jain; Jayant Thatte; Thomas Braciale; Klaus Ley; Michael O'Connell; Jae K Lee
Journal:  Bioinformatics       Date:  2003-10-12       Impact factor: 6.937

2.  Nuclear factor (erythroid-derived 2)-like 2 regulates drug resistance in pancreatic cancer cells.

Authors:  Young Bin Hong; Hyo Jin Kang; Sun Young Kwon; Hee Jeong Kim; Kun Young Kwon; Chi Heum Cho; Jong-Min Lee; Bhaskar V S Kallakury; Insoo Bae
Journal:  Pancreas       Date:  2010-05       Impact factor: 3.327

3.  Dissecting tBHQ induced ARE-driven gene expression through long and short oligonucleotide arrays.

Authors:  Jiang Li; Maria L Spletter; Jeffrey A Johnson
Journal:  Physiol Genomics       Date:  2004-12-21       Impact factor: 3.107

4.  Janus face of Nrf2-HO-1 axis in cancer--friend in chemoprevention, foe in anticancer therapy.

Authors:  Agnieszka Loboda; Halina Was; Alicja Jozkowicz; Jozef Dulak
Journal:  Lung Cancer       Date:  2007-12-11       Impact factor: 5.705

Review 5.  Role of nrf2 in oxidative stress and toxicity.

Authors:  Qiang Ma
Journal:  Annu Rev Pharmacol Toxicol       Date:  2013       Impact factor: 13.820

Review 6.  An overview of transcriptional regulation in response to toxicological insult.

Authors:  Paul Jennings; Alice Limonciel; Luca Felice; Martin O Leonard
Journal:  Arch Toxicol       Date:  2012-08-28       Impact factor: 5.153

7.  Inhibition of the Nrf2 transcription factor by the alkaloid trigonelline renders pancreatic cancer cells more susceptible to apoptosis through decreased proteasomal gene expression and proteasome activity.

Authors:  A Arlt; S Sebens; S Krebs; C Geismann; M Grossmann; M-L Kruse; S Schreiber; H Schäfer
Journal:  Oncogene       Date:  2012-10-29       Impact factor: 9.867

Review 8.  Redox regulation of protein kinases.

Authors:  Aoife Corcoran; Thomas G Cotter
Journal:  FEBS J       Date:  2013-03-21       Impact factor: 5.542

9.  Nrf2 is overexpressed in pancreatic cancer: implications for cell proliferation and therapy.

Authors:  Adam Lister; Taoufik Nedjadi; Neil R Kitteringham; Fiona Campbell; Eithne Costello; Bryony Lloyd; Ian M Copple; Samantha Williams; Andrew Owen; John P Neoptolemos; Chris E Goldring; B Kevin Park
Journal:  Mol Cancer       Date:  2011-04-13       Impact factor: 27.401

10.  Novel hematopoietic target genes in the NRF2-mediated transcriptional pathway.

Authors:  Michelle R Campbell; Mehmet Karaca; Kelly N Adamski; Brian N Chorley; Xuting Wang; Douglas A Bell
Journal:  Oxid Med Cell Longev       Date:  2013-05-25       Impact factor: 6.543

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Review 3.  Ribosomal Protein S6: A Potential Therapeutic Target against Cancer?

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Review 6.  Role of Pirin, an Oxidative Stress Sensor Protein, in Epithelial Carcinogenesis.

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