Literature DB >> 19787063

Global transcriptional response to Hfe deficiency and dietary iron overload in mouse liver and duodenum.

Alejandra Rodriguez1, Tiina Luukkaala, Robert E Fleming, Robert S Britton, Bruce R Bacon, Seppo Parkkila.   

Abstract

Iron is an essential trace element whose absorption is usually tightly regulated in the duodenum. HFE-related hereditary hemochromatosis (HH) is characterized by abnormally low expression of the iron-regulatory hormone, hepcidin, which results in increased iron absorption. The liver is crucial for iron homeostasis as it is the main production site of hepcidin. The aim of this study was to explore and compare the genome-wide transcriptome response to Hfe deficiency and dietary iron overload in murine liver and duodenum. Illumina arrays containing over 47,000 probes were used to study global transcriptional changes. Quantitative RT-PCR (Q-RT-PCR) was used to validate the microarray results. In the liver, the expression of 151 genes was altered in Hfe(-/-) mice while dietary iron overload changed the expression of 218 genes. There were 173 and 108 differentially expressed genes in the duodenum of Hfe(-/-) mice and mice with dietary iron overload, respectively. There was 93.5% concordance between the results obtained by microarray analysis and Q-RT-PCR. Overexpression of genes for acute phase reactants in the liver and a strong induction of digestive enzyme genes in the duodenum were characteristic of the Hfe-deficient genotype. In contrast, dietary iron overload caused a more pronounced change of gene expression responsive to oxidative stress. In conclusion, Hfe deficiency caused a previously unrecognized increase in gene expression of hepatic acute phase proteins and duodenal digestive enzymes.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19787063      PMCID: PMC2747280          DOI: 10.1371/journal.pone.0007212

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Iron plays crucial roles in cellular metabolism but, in excess, it can catalyze the formation of free radicals leading to oxidative stress and cell damage [1]. Iron is absorbed in the duodenum, where it crosses the apical and basolateral membranes of absorptive enterocytes to enter the blood stream [2]. There is no regulated mechanism of iron excretion, and thus the absorption of iron must be tightly regulated to maintain iron balance. HFE-related hereditary hemochromatosis (HH, OMIM-235200) is an autosomal recessive disorder in which absorption of iron is inappropriately high [3], [4]. HH is characterized by high transferrin saturation and low iron content in macrophages. Iron is deposited primarily in the parenchymal cells of various organs, particularly the liver, but also the pancreas, heart, skin, and testes, resulting in tissue damage and organ failure. Clinical complications in untreated HH patients include hepatic fibrosis, cirrhosis, hepatocellular carcinoma, diabetes, cardiomyopathy, hypogonadism, and arthritis [4]. HH is characterized by inappropriately low expression of the iron-regulatory hormone hepcidin [5]. Hepcidin, a small peptide hormone expressed mainly in the liver, is a central player in the maintenance of iron balance [6]. The only known molecule capable of transporting iron out of cells is ferroportin [7]–[9]. This iron exporter is located in the plasma membrane of enterocytes, reticuloendothelial cells, hepatocytes, and placental cells [7]. Hepcidin binds to ferroportin and induces its internalization and degradation, therefore suppressing the transport of iron into the circulation [10]. The expression of hepcidin is induced by increased iron stores and inflammation, and suppressed by hypoxia and anemia [11], [12]. Mice homozygous for a null allele of Hfe (Hfe) provide a genetic animal model of HH [13]. There are several animal models of iron overload based on administration of exogenous iron [14]. According to the route of iron delivery, these can be divided into two main types: enteral (i.e. dietary) and parenteral models. For example, dietary supplementation with carbonyl iron in mice reproduces the HH pattern of hepatic iron loading, with predominantly parenchymal iron deposition [14]. Although both Hfe −/− mice and carbonyl iron-fed mice develop iron overload, there are important differences between these two models. Hfe −/− mice lack Hfe protein and therefore have decreased expression of hepcidin [15], [16], while mice with dietary iron overload express functional Hfe protein and their hepcidin expression is elevated [12]. Current RNA microarray technology allows expression profiling of the whole transcriptome. This methodology has been used to explore the effects of Hfe gene disruption on mRNA expression in the liver and duodenum, two organs with crucial roles in iron metabolism [17]. In the present study, we used this approach to study gene expression in the liver and duodenum of Hfe −/− mice and wild-type mice, with or without dietary iron overload. This allowed the identification of genes whose expression is changed during iron overload and those genes whose expression is differentially influenced by lack of Hfe protein.

Results

We used global microarray analysis to study gene expression in the liver and duodenum of Hfe −/− mice and carbonyl iron loaded mice, and comparing it with that of wild-type mice fed a standard diet. This approach allowed the identification of genes whose expression is changed during iron overload and those genes whose expression is differentially influenced by lack of Hfe protein. All the mice used were males and all had the same genetic background (C57BL/6).

Hepatic transcriptional response to Hfe deficiency and dietary iron overload

Hepatic RNA from 3 Hfe mice and 2 wild-type mice was subjected to microarray analysis. The Pearson correlation coefficient between the knock out mice and between the controls was in both cases 0.989. The results revealed 86 induced genes and 65 repressed genes, using a cutoff value of ±1.4-fold (Table 1 and Dataset S1). This cutoff value has been proposed as an adequate compromise above which there is a high correlation between microarray and Q-RT-PCR data, regardless of other factors such as spot intensity and cycle threshold [18]. The fold-changes ranged from 9.83 to −3.47. Functional annotation of the gene lists highlighted the biological processes that may be modified by Hfe deficiency. This analysis revealed enrichment of heat shock proteins and proteins related to inflammatory responses or antigen processing and presentation, among others (Table 2).
Table 1

Number of genes regulated by Hfe deficiency or dietary iron overload in murine liver and duodenum.

TissueModelTotal regulated genesUpregulated genesDownregulated genesProportion of results confirmed by Q-RT-PCR
Liver Hfe −/− 151866511/12
Dietary Iron2181239516/17
Duodenum Hfe −/− 173143306/7
Dietary Iron108495910/10

Genes with changes in mRNA expression greater than ±1.4-fold were considered as regulated.

Table 2

Functional annotation of genes regulated in the liver of Hfe mice.

Functional CategoryGene SymbolDescriptionGenBank NumberFCQ-PCR
Response to unfolded proteinHspd1heat shock protein 1 (chaperonin)NM_0104771.54
H47histocompatibility 47NM_024439−1.45
Hsp90ab1heat shock protein 90 kDa alpha (cytosolic), class B member 1NM_008302−1.48
Hspb1heat shock protein 1NM_013560−1.66
Hspa8heat shock protein 8NM_031165−1.70
Hsp90b1heat shock protein 90 kDa beta (Grp94), member 1NM_011631−1.71
Hsp90aa1heat shock protein 90 kDa alpha (cytosolic), class A member 1NM_010480−1.72
Hspa5heat shock protein 5NM_022310−2.14
Hsph1heat shock 105 kDa/110 kDa protein 1NM_013559−2.16−2.43
Syvn1synovial apoptosis inhibitor 1, synoviolinNM_028769−2.45
Inflammatory responseSaa2serum amyloid A 2NM_0113149.8339.36
Saa1serum amyloid A 1NM_0091176.3016.36
Orm2orosomucoid 2NM_0110163.29
Saa3serum amyloid A 3NM_0113152.89
Orm1orosomucoid 1NM_0087681.68
Serpina3nserine (or cysteine) peptidase inhibitor, clade A, member 3NNM_0092521.63
C1scomplement component 1, s subcomponentNM_1449381.47
Cxcl9chemokine (C-X-C motif) ligand 9NM_008599−1.57
Apolipoprotein associated with HDLSaa2serum amyloid A 2NM_0113149.8339.36
Saa1serum amyloid A 1NM_0091176.3016.36
Saa3serum amyloid A 3NM_0113152.89
Apoa4apolipoprotein A-IVNM_0074682.36
Monooxygenase activityMoxd1monooxygenase, DBH-like 1NM_0215094.12
Cyp2a5cytochrome P450, family 2, subfamily a, polypeptide 5NM_0078121.67
Cyp27a1cytochrome P450, family 27, subfamily a, polypeptide 1NM_0242641.64
Cyp2d26cytochrome P450, family 2, subfamily d, polypeptide 26NM_0295621.59
Kmokynurenine 3-monooxygenase (kynurenine 3-hydroxylase)NM_1338091.48
Cyp4a14cytochrome P450, family 4, subfamily a, polypeptide 14NM_007822−1.44
Cyp3a11cytochrome P450, family 3, subfamily a, polypeptide 11NM_007818−1.58
Cyp26b1cytochrome P450, family 26, subfamily b, polypeptide 1NM_175475−2.39−2.18
Steroid biosynthetic processNsdhlNAD(P) dependent steroid dehydrogenase-likeNM_0109411.44
Hmgcs13-hydroxy-3-methylglutaryl-Coenzyme A synthase 1NM_145942−1.42
Lsslanosterol synthaseNM_146006−1.45
Hmgcr3-hydroxy-3-methylglutaryl-Coenzyme A reductaseNM_008255−1.50
Mvdmevalonate (diphospho) decarboxylaseNM_138656−1.67
Antigen processing and presentationPsmb8proteasome (prosome, macropain) subunit, beta type 8 (large multifunctional peptidase 7)NM_0107241.50
Cd74CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)NM_010545−1.59
H2-Eb1histocompatibility 2, class II antigen E betaNM_010382−1.63
H2-Ab1histocompatibility 2, class II antigen A, beta 1NM_207105−1.77
H2-Aahistocompatibility 2, class II antigen A, alphaNM_010378−1.81
Endopeptidase inhibitor activitySerpina12serine (or cysteine) peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 12NM_0265352.01
Wfdc2WAP four-disulfide core domain 2NM_0263231.65
Serpina3nserine (or cysteine) peptidase inhibitor, clade A, member 3NNM_0092521.63
Itih4inter alpha-trypsin inhibitor, heavy chain 4NM_0187461.48
carboxy-lyase activityDdcdopa decarboxylaseNM_016672−1.48
Mvdmevalonate (diphospho) decarboxylaseNM_138656−1.67
Csadcysteine sulfinic acid decarboxylaseNM_144942−1.76
T cell differentiationCd74CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)NM_010545−1.59
Hsp90aa1heat shock protein 90 kDa alpha (cytosolic), class A member 1NM_010480−1.72
Egr1early growth response 1NM_007913−1.77
H2-Aahistocompatibility 2, class II antigen A, alphaNM_010378−1.81
Gadd45ggrowth arrest and DNA-damage-inducible 45 gammaNM_011817−1.97
Glycogen metabolic processG6pcglucose-6-phosphatase, catalyticNM_0080612.38
Ppp1r3cprotein phosphatase 1, regulatory (inhibitor) subunit 3CNM_0168541.57
Ppp1r3bprotein phosphatase 1, regulatory (inhibitor) subunit 3BNM_1777411.55
Genes with changes in mRNA expression greater than ±1.4-fold were considered as regulated. Another microarray experiment was performed using hepatic RNA from 3 mice with dietary iron overload and 2 mice fed a standard diet. The similarity between samples from individual mice was measured as the Pearson correlation coefficient, which was 0.989 between iron overloaded mice and 0.991 between control mice. The expression of 123 genes was upregulated and that of 95 genes was downregulated, applying a cutoff value of ±1.4-fold (Table 1 and Dataset S2). The fold-changes ranged between 13.58 and −7.46. The list of regulated genes was functionally annotated (Table 3), showing enrichment of cytochrome P450 proteins as well as others involved in glutathione metabolism, acute-phase response, organic acid biosynthetic process and cellular iron homeostasis, among others.
Table 3

Functional annotation of genes regulated in the liver of iron-fed mice.

Functional CategoryGene SymbolDescriptionGenBank NumberFCQ-PCR
Electron transport, containing heme and monooxygenase activityCyp2b10cytochrome P450, family 2, subfamily b, polypeptide 10NM_00999913.58
Cyp2b9cytochrome P450, family 2, subfamily b, polypeptide 9NM_0100007.41
Cyp4a14cytochrome P450, family 4, subfamily a, polypeptide 14NM_0078226.9716.06
Cyp26b1cytochrome P450, family 26, subfamily b, polypeptide 1NM_1754752.24
Cyp2c29cytochrome P450, family 2, subfamily c, polypeptide 29NM_0078151.77
Cyp2c54cytochrome P450, family 2, subfamily c, polypeptide 54NM_2065371.762.37
Cyp2a5cytochrome P450, family 2, subfamily a, polypeptide 5NM_0078121.65
Cyp2b13cytochrome P450, family 2, subfamily b, polypeptide 13NM_0078131.50
Cyp4v3cytochrome P450, family 4, subfamily v, polypeptide 3NM_133969−1.82
Cyp7b1cytochrome P450, family 7, subfamily b, polypeptide 1NM_007825−2.50
Cyp4a12bcytochrome P450, family 4, subfamily a, polypeptide 12BNM_172306−2.73
Cyp7a1cytochrome P450, family 7, subfamily a, polypeptide 1NM_007824−2.80
Cyp4a12acytochrome P450, family 4, subfamily a, polypeptide 12aNM_177406−3.62
Glutathione metabolismGsta1glutathione S-transferase, alpha 1 (Ya)NM_0081811.94
Gstt2glutathione S-transferase, theta 2AK0797391.86
Gsta2glutathione S-transferase, alpha 2 (Yc2)NM_0081821.83
Gstm6glutathione S-transferase, mu 6NM_0081841.78
Mgst3microsomal glutathione S-transferase 3NM_0255691.72
Gstm3glutathione S-transferase, mu 3NM_0103591.59
Gclcglutamate-cysteine ligase, catalytic subunitNM_0102951.55
Gstp1glutathione S-transferase, pi 1NM_013541−1.81
Acute-phase responseIl1binterleukin 1 betaNM_0083612.04
Saa3serum amyloid A 3NM_011315−1.82
Saa4serum amyloid A 4NM_011316−1.91
Saa2serum amyloid A 2NM_011314−2.79−3.36
Saa1serum amyloid A 1NM_009117−3.96−4.31
Organic acid biosynthetic processFasnfatty acid synthaseNM_0079882.22
Elovl6ELOVL family member 6, elongation of long chain fatty acidsNM_1304501.87
Acacaacetyl-Coenzyme A carboxylase alphaNM_1333601.81
Cd74CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)NM_0105451.65
Cyp7b1cytochrome P450, family 7, subfamily b, polypeptide 1NM_007825−2.50
Elovl3elongation of very long chain fatty acids-like 3NM_007703−5.00
Cellular iron ion homeostasisHamp2hepcidin antimicrobial peptide 2NM_18325710.0324.77
Hamp1hepcidin antimicrobial peptide 1NM_0325411.735.27
Tfrctransferrin receptorNM_011638−1.74
Alas2aminolevulinic acid synthase 2, erythroidNM_009653−2.20
Hemopoiesis and immune system developmentId2inhibitor of DNA binding 2NM_0104962.925.2
Egr1early growth response 1NM_0079132.55
H2-Aahistocompatibility 2, class II antigen A, alphaNM_0103781.81
Gadd45ggrowth arrest and DNA-damage-inducible 45 gammaNM_0118171.66
Cd74CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)NM_0105451.65
Hbb-b1hemoglobin, beta adult major chainNM_0082201.45
Pik3r1phosphatidylinositol 3-kinase, regulatory subunit, polypeptide 1 (p85 alpha), transcript variant 1NM_001024955−1.70
Alas2aminolevulinic acid synthase 2, erythroidNM_009653−2.20
Bcl6B-cell leukemia/lymphoma 6NM_009744−2.61
Serine-type endopeptidase inhibitor activitySerpina7serine (or cysteine) peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 7NM_1779202.12
Serpina3mserine (or cysteine) peptidase inhibitor, clade A, member 3 MNM_0092532.04
Spink4serine peptidase inhibitor, Kazal type 4NM_0114631.52
Serpina1eserine (or cysteine) peptidase inhibitor, clade A, member 1eNM_009247−1.86
Serpina12serine (or cysteine) peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 12NM_026535−2.19
Serpine2serine (or cysteine) peptidase inhibitor, clade E, member 2AK045954−2.88
Antigen processing and presentation via MHC class IIH2-Aahistocompatibility 2, class II antigen A, alphaNM_0103781.81
H2-Ab1histocompatibility 2, class II antigen A, beta 1NM_2071051.68
Cd74CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)NM_0105451.65
H2-Eb1histocompatibility 2, class II antigen E betaNM_0103821.43
There were 11 upregulated and 7 downregulated genes that were affected by both Hfe deficiency and dietary iron overload in similar fashion, while 27 genes were regulated in opposite directions by these two conditions in the liver (Table 4). In some cases, several genes belonging to the same gene family showed divergent regulation (e.g., Saa1, Saa2, Saa3) with upregulation in Hfe mice and downregulation by dietary iron overload.
Table 4

Comparison of hepatic gene regulation by Hfe deficiency or dietary iron overload.

Gene SymbolDescriptionGenBank NumberFC Hfe−/− FC diet
Increased in Hfe−/− and by diet Lcn2 lipocalin 2NM_0084919.542.10
Rgs16 regulator of G-protein signaling 16NM_0112674.615.06
Mt1 metallothionein 1NM_0136024.173.95
Apoa4 apolipoprotein A-IVNM_0074682.366.56
Slc2a2 solute carrier family 2 (facilitated glucose transporter), member 2NM_0311971.922.17
Mfsd2 major facilitator superfamily domain containing 2NM_0296621.683.59
Cyp2a5 cytochrome P450, family 2, subfamily a, polypeptide 5NM_0078121.671.65
Gstt2 glutathione S-transferase, theta 2NM_0103611.581.86
Ppp1r3c protein phosphatase 1, regulatory (inhibitor) subunit 3CNM_0168541.571.53
Bhlhb2 basic helix-loop-helix domain containing, class B2NM_0114981.522.35
Dusp1 dual specificity phosphatase 1NM_0136421.502.15
Increased in Hfe−/− and decreased by diet Saa2 serum amyloid A 2NM_0113149.83−2.79
Saa1 serum amyloid A 1NM_0091176.30−3.96
Saa3 serum amyloid A 3NM_0113152.89−1.82
Angptl4 angiopoietin-like 4NM_0205812.30−2.03
Hp haptoglobinNM_0173702.23−1.69
Serpina12 serine (or cysteine) peptidase inhibitor, clade A (alpha-1 antiproteinase, antitrypsin), member 12NM_0265352.01−2.19
Lpin1 lipin 1NM_0157631.92−1.59
Il6ra interleukin 6 receptor, alphaAK0206631.70−2.08
Dio1 deiodinase, iodothyronine, type INM_0078601.57−1.87
Ppp1r3b protein phosphatase 1, regulatory (inhibitor) subunit 3BNM_1777411.55−1.95
Dct dopachrome tautomeraseNM_0100241.50−2.72
Mup4 major urinary protein 4NM_0086481.44−4.28
Decreased in Hfe−/− and increased by diet Cyp26b1 cytochrome P450, family 26, subfamily b, polypeptide 1NM_175475−2.392.24
Phlda1 pleckstrin homology-like domain, family A, member 1NM_009344−2.201.51
Gadd45g growth arrest and DNA-damage-inducible 45 gammaNM_011817−1.971.66
Socs3 suppressor of cytokine signaling 3NM_007707−1.961.89
Cish cytokine inducible SH2-containing proteinNM_009895−1.932.37
H2-Aa histocompatibility 2, class II antigen A, alphaNM_010378−1.811.81
Egr1 early growth response 1NM_007913−1.772.55
H2-Ab1 histocompatibility 2, class II antigen A, beta 1NM_207105−1.771.68
Gsta2 glutathione S-transferase, alpha 2 (Yc2)NM_008182−1.711.83
H2-Eb1 histocompatibility 2, class II antigen E betaNM_010382−1.631.43
Cd74 CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)NM_010545−1.591.65
Cyp4a14 cytochrome P450, family 4, subfamily a, polypeptide 14NM_007822−1.446.97
Hbb-b1 hemoglobin, beta adult major chainAK010993−1.421.45
Rnf186 ring finger protein 186NM_025786−1.411.81
Hamp1 hepcidin antimicrobial peptide 1NM_032541−1.411.73
Decreased in Hfe−/− and by diet Creld2 cysteine-rich with EGF-like domains 2NM_029720−3.47−1.64
Hsph1 heat shock 105 kDa/110 kDa protein 1NM_013559−2.16−2.13
Tfrc transferrin receptorNM_011638−1.92−1.74
Hspb1 heat shock protein 1NM_013560−1.66−1.81
Hhex hematopoietically expressed homeoboxNM_008245−1.55−2.05
Mcm10 minichromosome maintenance deficient 10 (S. cerevisiae)NM_027290−1.55−1.55
Ddc dopa decarboxylaseNM_016672−1.48−1.97

FC, fold-change; diet, iron-supplemented diet.

FC, fold-change; diet, iron-supplemented diet.

Altered expression of iron-related genes in the liver

The expression of 3 iron-related genes was altered in the liver of Hfe mice. The expression of Hamp1 and Tfrc was decreased and that of Lcn2 was induced. We confirmed these results using Q-RT-PCR, and also tested the expression of Hamp2, which was downregulated (Figure 1). Dietary iron overload changed the expression of 5 iron-related genes in the liver. The expression of Hamp1, Hamp2, Lcn2 and Cp were upregulated using both microarray analysis and Q-RT-PCR, while Tfrc expression was down-regulated by 1.7-fold (Figure 2).
Figure 1

Validation of liver microarray data from Hfe mice by Q-RT-PCR.

The expression of various mRNA species in 5 Hfe mice is compared to those in 4 wild-type controls. Each sample was run in triplicate. (mean±SD). *p<0.05; **p<0.025; ***p<0.01.

Figure 2

Expression of genes affected by dietary iron overload in the liver, as confirmed by Q-RT-PCR.

Samples from 5 mice fed an iron-supplemented diet and 4 mice fed a control diet were used, and each sample was run in triplicate. (mean±SD). *p<0.05; **p<0.025; ***p<0.01.

Validation of liver microarray data from Hfe mice by Q-RT-PCR.

The expression of various mRNA species in 5 Hfe mice is compared to those in 4 wild-type controls. Each sample was run in triplicate. (mean±SD). *p<0.05; **p<0.025; ***p<0.01.

Expression of genes affected by dietary iron overload in the liver, as confirmed by Q-RT-PCR.

Samples from 5 mice fed an iron-supplemented diet and 4 mice fed a control diet were used, and each sample was run in triplicate. (mean±SD). *p<0.05; **p<0.025; ***p<0.01.

Confirmation of hepatic microarray results by Q-RT-PCR

Microarray analysis for the expression of several genes was confirmed by performing Q-RT-PCR on hepatic samples from 5 Hfe mice, 4 wild-type control mice, 5 iron-fed mice and 4 mice fed a standard diet. For this purpose, we selected iron-related genes and others whose expression was substantially altered in the experimental groups. A total of 29 results from the hepatic microarray data, corresponding to 24 different genes, were tested by Q-RT-PCR, and 27 (93.1%) of them showed concordant results by these two methods (Figures 1 and 2). Changes in Foxq1 and Dmt1 expression were false-positives in the microarray analysis for Hfe mice and dietary iron overload, respectively. The upregulation of Ltf expression by dietary iron overload observed by microarray analysis could not be confirmed by Q-RT-PCR because the expression levels in samples from all but one of the treated mice and all control mice were below the detection threshold.

Duodenal gene expression response to Hfe deficiency and dietary iron supplementation

Microarray analysis of duodenal RNA from 2 Hfe mice and 2 wild-type mice revealed that the expression of 143 genes was upregulated and that of 30 genes was downregulated when a cutoff value of ±1.4-fold was used (Table 1 and Dataset S3). The fold-changes ranged from 15.67 to −3.14. The Pearson correlation coefficient between knockout mice and between controls was 0.976 and 0.971, respectively. Functional categories overrepresented among the genes regulated by Hfe deficiency included proteins with endopeptidase activity, and others involved in lipid catabolism and antimicrobial activity (Table 5).
Table 5

Functional annotation of genes regulated in the duodenum of Hfe mice.

Functional CategoryGene SymbolDescriptionGenBank NumberFCQ-PCR
Endopeptidase activityEla3elastase 3, pancreaticNM_02641915.6714.77
Try4trypsin 4NM_01164613.09
RP23-395H4.4elastase 2ANM_00791910.20
Ctrlchymotrypsin-likeNM_0231829.99
Ctrb1chymotrypsinogen B1NM_0255839.68
Prss2protease, serine, 2NM_0094307.41
2210010C04RikRIKEN cDNA 2210010C04 geneNM_0233337.14
Ela1elastase 1, pancreaticNM_0336125.84
Klk1b5kallikrein 1-related peptidase b5NM_0084562.90
Ctrcchymotrypsin C (caldecrin)NM_0010338752.51
Klk1b11kallikrein 1-related peptidase b11NM_0106402.34
Klk1kallikrein 1NM_0106392.29
Klk1b27kallikrein 1-related peptidase b27NM_0202682.22
Klk1b4kallikrein 1-related pepidase b4NM_0109152.11
Klk1b24kallikrein 1-related peptidase b24NM_0106432.10
Melamelanoma antigenNM_0085812.05
Ctsecathepsin ENM_0077991.912.32
Klk1b26kallikrein 1-related petidase b26NM_0106441.74
Capn5calpain 5NM_0076021.60
Lipid catabolic functionCelcarboxyl ester lipaseNM_0098859.82
Pnliprp1pancreatic lipase related protein 1NM_0188748.17
Clpscolipase, pancreaticNM_0254695.35
Pla2g1bphospholipase A2, group IB, pancreasNM_0111074.86
Pnliprp2pancreatic lipase-related protein 2NM_0111284.50
Apoc3apolipoprotein C-IIINM_023114−1.79
Triacylglycerol lipase activityCelcarboxyl ester lipaseNM_0098859.82
Pnliprp1pancreatic lipase related protein 1NM_0188748.17
Pnliprp2pancreatic lipase-related protein 2NM_0111284.50
AntimicrobialHamp2hepcidin antimicrobial peptide 2NM_1832572.746.66
Defcr-rs1defensin related sequence cryptdin peptide (paneth cells)NM_007844−1.60
Lyz1lysozyme 1NM_013590−1.68
Defcr6defensin related cryptdin 6NM_007852−2.11
Defcr20defensin related cryptdin 20NM_183268−2.69
Metallocarboxypeptidase activityCpa1carboxypeptidase A1NM_02535012.42
Cpa2carboxypeptidase A2, pancreaticNM_0010246988.14
Cpb1carboxypeptidase B1 (tissue)NM_02970612.5114.55
Global transcriptional regulation was also studied in the duodenum of mice fed an iron-supplemented diet, using 3 treated mice and 2 controls. The Pearson correlation coefficient was 0.985 between treated mice and 0.983 between controls. The expression of 49 genes was induced and 59 genes were repressed, applying a cutoff value of ±1.4-fold (Table 1 and Dataset S4). The fold-changes ranged between 6.07 and −5.64. Functional annotation of the gene list evidenced enrichment of genes involved in glutathione metabolism, antigen processing and presentation and inflammatory response, among others (Table 6).
Table 6

Functional annotation of genes regulated in the duodenum of mice fed an iron-supplemented diet.

Functional CategoryGene SymbolDescriptionGenBank NumberFCQ-PCR
Glutatione metabolismGstm1glutathione S-transferase, mu 1NM_0103584.424.29
Gsta3glutathione S-transferase, alpha 3NM_0103564.27
Gsta1glutathione S-transferase, alpha 1 (Ya)NM_0081813.51
Gsta2glutathione S-transferase, alpha 2 (Yc2)NM_0081822.93
Gstm6glutathione S-transferase, mu 6NM_0081842.80
Gstm4glutathione S-transferase, mu 4NM_0267642.41
Gsta4glutathione S-transferase, alpha 4NM_0103572.26
Gstm3glutathione S-transferase, mu 3NM_0103591.88
Anpepalanyl (membrane) aminopeptidaseNM_008486−1.83
Antigen processing and presentationCd74CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)BC003476−1.95
H2-Eb1histocompatibility 2, class II antigen E betaNM_010382−2.06
H2-DMahistocompatibility 2, class II, locus DMaNM_010386−2.07
Psmb8proteasome (prosome, macropain) subunit, beta type 8 (large multifunctional peptidase 7)NM_010724−2.07
H2-DMb2histocompatibility 2, class II, locus Mb2NM_010388−2.16
H2-Aahistocompatibility 2, class II antigen A, alphaNM_010378−2.53
H2-Ab1histocompatibility 2, class II antigen A, beta 1NM_207105−2.76
Chaperone cofactor-dependent protein foldingCd74CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)BC003476−1.95
H2-DMahistocompatibility 2, class II, locus DMaNM_010386−2.07
H2-DMb2histocompatibility 2, class II, locus Mb2NM_010388−2.16
Dnajb1DnaJ (Hsp40) homolog, subfamily B, member 1NM_018808−2.62−2.17
Hsph1heat shock 105 kDa/110 kDa protein 1NM_013559−5.64−6.55
MHCIIH2-Eb1histocompatibility 2, class II antigen E betaNM_010382−2.06
H2-DMahistocompatibility 2, class II, locus DMaNM_010386−2.07
H2-DMb2histocompatibility 2, class II, locus Mb2NM_010388−2.16
H2-Aahistocompatibility 2, class II antigen A, alphaNM_010378−2.53
H2-Ab1histocompatibility 2, class II antigen A, beta 1NM_207105−2.76
T cell differentiation and activationCd74CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)BC003476−1.95
H2-DMahistocompatibility 2, class II, locus DMaNM_010386−2.07
H2-Aahistocompatibility 2, class II antigen A, alphaNM_010378−2.53
Egr1early growth response 1NM_007913−3.33−2.32
Hsp90aa1heat shock protein 90 kDa alpha (cytosolic), class A member 1NM_010480−2.11
Inflammatory responseReg3gregenerating islet-derived 3 gammaNM_011260−1.56
Cxcl13chemokine (C-X-C motif) ligand 13NM_018866−1.71
C3complement component 3NM_009778−1.78
Ccl5chemokine (C-C motif) ligand 5NM_013653−2.00
Pappancreatitis-associated proteinNM_011036−2.13
AntimicrobialDefcr20defensin related cryptdin 20NM_1832681.72
Defcr5defensin related cryptdin 5NM_007851−1.41
LyzslysozymeNM_017372−1.88
Defcr-rs1defensin related sequence cryptdin peptide (paneth cells)NM_007844−3.23
LectinReg2regenerating islet-derived 2NM_0090432.14
Glg1golgi apparatus protein 1NM_009149−1.43
Reg3gregenerating islet-derived 3 gammaNM_011260−1.56
Pappancreatitis-associated proteinNM_011036−2.13
B cell mediated immunityC3complement component 3NM_009778−1.78
Cd74CD74 antigen (invariant polypeptide of major histocompatibility complex, class II antigen-associated)BC003476−1.95
H2-DMahistocompatibility 2, class II, locus DMaNM_010386−2.07
Cholesterol metabolic processLdlrlow density lipoprotein receptorNM_0107001.99
Cyp51cytochrome P450, family 51NM_0200101.96
Hmgcs23-hydroxy-3-methylglutaryl-Coenzyme A synthase 2NM_0082561.88
Response to heatHspa1aheat shock protein 1ANM_010479−1.91
Hsp90aa1heat shock protein 90 kDa alpha (cytosolic), class A member 1NM_010480−2.11
Hsph1heat shock 105 kDa/110 kDa protein 1NM_013559−5.64−6.55
We identified genes whose expression was affected by both Hfe deficiency and dietary iron supplementation in the duodenum. There were 4 genes whose expression was induced in both conditions, 3 genes whose expression was decreased, and 4 genes with opposite regulation (Table 7).
Table 7

Genes regulated in the duodenum of mice by Hfe deficiency or iron-supplemented diet.

Gene SymbolDescriptionGenBankFC Hfe−/− FC diet
Increased in Hfe−/− and by diet Reg2 regenerating islet-derived 2NM_00904310.342.14
Alpi alkaline phosphatase, intestinalNM_0010810822.091.71
Akr1b8 aldo-keto reductase family 1, member B8NM_0080121.604.17
Mboat1 membrane bound O-acyltransferase domain containing 1NM_1535461.461.81
Increased in Hfe−/− and decreased by diet Reg3b regenerating islet-derived 3 betaNM_0110366.87−2.13
Klk1b27 kallikrein 1-related peptidase b27NM_0202682.22−1.87
Slc38a5 solute carrier family 38, member 5NM_1724792.14−2.31
Decreased in Hfe−/− and increased by diet Defcr20 defensin related cryptdin 20NM_183268−2.691.72
Decreased in Hfe−/− and by diet Hspb1 heat shock protein 1NM_013560−2.07−2.17
Defcr-rs1 defensin related sequence cryptdin peptide (Paneth cells)NM_007844−1.60−3.23
LOC620017 PREDICTED: similar to Ig kappa chain V-V region L7 precursorXM_357633−1.44−2.31

FC, fold-change; diet, iron-supplemented diet.

FC, fold-change; diet, iron-supplemented diet.

Altered expression of iron-related genes in the duodenum

In the duodenum of Hfe mice, Hamp2 expression was increased by 2.7-fold using microarray analysis. However, this could not be confirmed by Q-RT-PCR, because Hamp2 mRNA levels in the samples from wild-type mice and in one Hfe sample were below the detection threshold. In mice fed the iron-supplemented diet, the duodenal expression of Tfrc was downregulated and that for Hmox1 was upregulated: both of these results were validated by Q-RT-PCR (Figure 3).
Figure 3

Expression of genes regulated in the duodenum of dietary iron-loaded mice as verified by Q-RT-PCR.

Samples from 5 mice fed an iron-supplemented diet and 4 mice fed a control diet were used, and each sample was run in triplicate. (mean±SD). *p<0.05; **p<0.025; ***p<0.01.

Expression of genes regulated in the duodenum of dietary iron-loaded mice as verified by Q-RT-PCR.

Samples from 5 mice fed an iron-supplemented diet and 4 mice fed a control diet were used, and each sample was run in triplicate. (mean±SD). *p<0.05; **p<0.025; ***p<0.01.

Confirmation of duodenal microarray results by Q-RT-PCR

Q-RT-PCR analyses were done on duodenal RNA samples from 5 Hfe mice, 4 wild-type control mice, 5 iron-fed mice and 4 mice fed a standard diet in order to confirm the microarray results. The mRNA expression of a total of 17 different genes was tested and 16 (94.1%) showed concordant results between microarray analysis and Q-RT-PCR (Figures 3 and 4). The sole discrepant result concerned the expression of Ddb1 that was downregulated according to microarray analysis, while Q-RT-PCR revealed a slight induction (1.25-fold) of expression.
Figure 4

Validation of the duodenal microarray results from Hfe mice by Q-RT-PCR.

The Hfe and control groups contained samples from 4 mice, and each sample was tested in triplicate. (mean±SD). *p<0.05; **p<0.025; ***p<0.01.

Validation of the duodenal microarray results from Hfe mice by Q-RT-PCR.

The Hfe and control groups contained samples from 4 mice, and each sample was tested in triplicate. (mean±SD). *p<0.05; **p<0.025; ***p<0.01.

Discussion

The goal of this study was to explore and compare the genome-wide transcriptome response to Hfe deficiency and dietary iron overload in murine liver and duodenum. This approach allowed the identification of genes whose expression is changed during iron overload and those genes whose expression is differentially influenced by lack of Hfe protein. The global transcriptional response to Hfe deficiency has been explored previously in the liver and duodenum of two mouse strains [17]. However, it is notable that only a few analogous changes in gene expression are seen when comparing our data with those of the previous study, even for mice of the same genetic background. Two other reports have explored expression of selected genes by using dedicated arrays in Hfe mice and in mice with secondary iron overload produced by intraperitoneal injection of iron-dextran [19], [20]. In one study, duodenum and liver samples were analyzed using an array of iron-related genes [19]. The results for duodenal gene expression in Hfe mice have no concordance with ours. Regulation of hepatic gene expression, on the other hand, is similar for several genes, such as Hamp1, Tfrc and Mt1. The second report focused on gene expression in the duodenum [20], and again, there is little concordance between their observations and ours. The lack of agreement between these studies is probably due to differences in the animal models (parenteral vs. enteral iron loading; mouse strains) and in the microarray methodology. The hepatic expression of acute phase proteins (APPs) can be induced by inflammatory mediators such as interleukin-6. Interestingly, the liver of Hfe mice has upregulated expression of APPs such as serum amyloids, lipocalins and orosomucoids. Notably, the expression of serum amyloid genes (Saa1, Saa2, Saa3) was upregulated in the Hfe mice compared to being downregulated in dietary iron overload, suggesting that Hfe deficiency induces this gene expression by an iron-independent mechanism. However, hepatic interleukin-6 mRNA expression was not significantly changed by Hfe deficiency, so the potential involvement of this cytokine in the observed upregulation of APPs remains uncertain. Lipocalin2 (human Ngal from neutrophil gelatinase-associated lipocalin) is an APP with antimicrobial properties through a mechanism of iron deprivation by siderophore binding [21]. It can donate iron to various types of cells [22], [23] and seems to be capable of intracellular iron chelation and iron excretion [24]. Furthermore, a recent study has shown that lipocalin2 is an adipokine with potential importance in insulin resistance associated with obesity [25]. We observed that Lcn2 expression is increased in the liver of both Hfe mice and those with dietary iron overload, suggesting that this induction is iron-related. Dietary iron overload of the liver led to increased expression of both hepcidin genes (Hamp1, Hamp2) as previously reported [26], [27], and these results were verified by Q-RT-PCR. In the liver of Hfe −/− mice, Hamp1 expression was downregulated as expected [15], [16], [19]. We also examined the levels of Hamp2 mRNA by Q-RT-PCR and found a -1.92-fold change. The low expression of hepatic Hamp1 in Hfe −/− mice is likely responsible for the increased iron absorption and low microphage iron content in these mice [15], [16], [19]. Inhibitor of DNA-binding/differentiation proteins, also known as Id proteins, comprise a family of proteins that heterodimerize with basic-helix-loop-helix (bHLH) transcription factors to inhibit their binding to DNA. Several studies have reported that Id proteins have important roles in differentiation, cell cycle and angiogenesis in various cell types [28]. Expression of Id1, 2, and 3 is increased during liver disease, with levels that escalate as liver disease progresses from hepatitis to cirrhosis. In hepatocellular carcinoma, high expression is observed in well-differentiated tumors, and it decreases as the tumor cells become undifferentiated [29]. In light of these findings, it has been suggested that Id1, 2, and 3 may play a role in the early stages of hepatocarcinogenesis. Given that, it is notable that we found that the expression of Id1, 2, 3, and 4 was increased in the liver of mice with dietary iron overload, but was unaffected in Hfe −/− mice. Increased hepatic expression of Id1 mRNA has previously been reported in mice fed an iron-supplemented diet [30]. The same study showed upregulation of the gene for bone morphogenetic protein 6 (Bmp6) in the same experimental mice. Recent work demonstrates that Bmp6 is a key player in the signalling pathway that controls hepcidin expression [31]. Unexpectedly, upregulation of hepatic Bmp6 mRNA expression by dietary iron overload was not evident in the current study. The gene expression of several heat shock proteins was downregulated in the liver and duodenum by both Hfe deficiency and dietary iron overload, with a considerably greater number of these genes downregulated in the liver of Hfe−/− mice. Although these genes are induced under certain stress conditions, such as heat shock and ischemia–reperfusion, their expression is decreased by iron overload [19], [27], [32]. Currently, the physiological implications of this downregulation are unknown. Our results indicate that disruption of the Hfe gene induces the expression of many genes in the duodenum coding for digestive enzymes, such as elastases, carboxypeptidases, trypsins, chymotrypsins, amylases, and lipases. In contrast, feeding mice with an iron-supplemented diet did not affect the expression of any of these genes. The upregulation of gene expression for digestive enzymes in Hfe −/− mice is surprising because overexpression of these enzymes has not been associated with HH. A common feature of the duodenal response to both Hfe deficiency and dietary iron overload was the transcriptional repression of genes involved in antimicrobial activities, such as cryptdins. In mice fed an iron-supplemented diet, there was also a decrease in mRNA expression for genes involved in antigen processing and presentation, such as some genes of the MHC class II family. The solute carrier molecules constitute a large family of proteins involved in membrane transport of diverse molecules. The gene expression of many family members was affected by Hfe deficiency or dietary iron overload. In the duodenum, the expression of the sodium-coupled neutral amino acid transporter Slc38a5 was induced in Hfe −/− mice and repressed in mice fed an iron-supplemented diet. In the liver, the expression of Slc46a3 was upregulated in Hfe −/− mice. This gene belongs to the Slc46 subfamily of heme transporters. It is thus a close relative of Slc46a1 (also known as HCP1), a recently identified, although controversial, heme transporter [33], [34]. The iron transporter Dmt1, encoded by Slc11a2, contains an iron-responsive element (IRE) in the 3′UTR of its mRNA. This permits the regulation of Dmt1 mRNA levels according to the cellular labile iron pool by mediation of the iron regulatory proteins, IRP1 and IRP2. Under iron-replete conditions, IRP activity is reduced rendering the Dmt1 mRNA vulnerable to degradation. The opposite is true under iron-deficient conditions, which is believed to be the situation inside the enterocytes of HH patients and Hfe −/− mice [35], [36]. Accordingly, in some studies, increased expression of Dmt1 has been observed in the duodenum of HH patients [37] as well as in Hfe −/− mice [38]. However, we did not find a significant change in the expression of Dmt1 in the Hfe −/− duodenum. This may be explained by the inability of our microarray probes and PCR primers to discriminate between IRE-positive and IRE–negative transcripts. The post-transcriptional regulation of Tfrc (transferrin receptor 1) by iron is also mediated through the IRE/IRP system [39]. Tfrc is involved in the uptake of transferrin-bound iron by cells. Analogous to our observations, suppression of Tfrc expression in the duodenum [40] and liver [27] of mice fed an iron-supplemented diet, and in the liver of Hfe mice [19] has been reported previously. Our microarray analysis indicates that the expression of Tfrc was not significantly changed in the duodenum of Hfe −/− mice, a result that agrees with a previous report [19]. Excess free iron increases oxidant production [1]. Subsequently, some antioxidant defense mechanisms are upregulated in order to provide resistance to iron-related toxicity. It is notable from our data that this response is elicited in both liver and duodenum, as seen in the upregulation of glutathione S-transferase genes. Interestingly, dietary iron overload seems to induce a stronger response than Hfe deficiency, especially in the regulation of enzymes involved in glutathione-related detoxification of reactive intermediates. In conclusion, Hfe deficiency results in increased gene expression of hepatic APPs and duodenal digestive enzymes. In contrast, dietary iron overload causes a more pronounced change of gene expression responsive to oxidative stress.

Materials and Methods

Ethics Statement

The animal protocols were approved by the Animal Care and Use Committees of Saint Louis University and the University of Oulu (permission No 102/05).

Animal care and animal models

Five male C57BL/6 mice homozygous for a disruption of the Hfe gene and 4 male wild-type control mice were fed a standard rodent diet (250 ppm of iron) and sacrificed at approximately 10 weeks of age. The generation of the Hfe mice has been described elsewhere [13]. In addition, 5 male C57BL/6 mice fed an iron-supplemented diet (2% carbonyl iron) and 4 male control mice fed a standard diet (200 ppm of iron) for 6 weeks were used [27]. The mice with dietary iron overload had a hepatic iron concentration that was approximately 2.5 times higher than the Hfe mice. The duodenum and liver samples were immediately collected from anesthetized mice and immersed in RNAlater solution (Ambion, Huntingdon, UK).

RNA isolation

Total RNA extraction and quality control have been described previously [27].

Microarray analysis

All microarray data reported in the present article are described in accordance with MIAME guidelines, have been deposited in NCBI's Gene Expression Omnibus public repository [41], and are accessible through GEO Series accession number GSE17969 [42]. Microarray experiments were performed in the Finnish DNA Microarray Centre at Turku Centre for Biotechnology using Illumina's Sentrix Mouse-6 Expression Beadchips. Duodenal and liver RNA samples from 3 Hfe mice and 3 mice with dietary iron overload were used. As controls, RNA samples from the duodenum and liver of 4 wild-type mice (2 controls of the Hfe mice and 2 controls of the mice with dietary iron overload) were used. All 10 samples were analyzed individually. The amplification of total RNA (300 ng), in vitro transcription, hybridization and scanning have been described before [27].

Data analysis

Array data were normalized with Chipster (v1.1.1) using the quantile normalization method. Quality control of the data included non-metric multidimensional scaling, dendrograms, hierarchical clustering, and 2-way clustering (heat maps). These analyses showed that data from one of the three duodenal samples from Hfe mice were highly divergent from the other two. Thus, this sample was excluded from further analyses. The data were then filtered according to the SD of the probes. The percentage of data that did not pass through the filter was adjusted to 99.4%, implicating a SD value of almost 3. At this point, statistical analysis was performed using the empirical Bayes t-test for the comparison of 2 groups. Due to the small number of samples, the statistical results were considered as orientative and thus no filtering was applied to the data according to p-values. The remaining 280 probes were further filtered according to fold-change with ±1.4 as cut-off values for up- and down-regulated expression, respectively. The functional annotation tool DAVID (Database for Annotation, Visualization and Integrated Discovery) [43], [44] was used to identify enriched biological categories among the regulated genes as compared to all the genes present in Illumina's Sentrix Mouse-6 Expression Beadchip. The annotation groupings analyzed were: Gene Ontology biological process and molecular functions, SwissProt Protein Information Resources keywords, SwissProt comments, Kyoto Encyclopedia of Genes and Genomes and Biocarta pathways. Results were filtered to remove categories with EASE (expression analysis systematic explorer) scores greater than 0.05. Redundant categories with the same gene members were removed to yield a single representative category.

Quantitative Reverse-Transcriptase PCR

For this analysis, duodenal and liver RNA samples from 5 mice of each experimental group (Hfe and dietary iron overload) and 4 mice from each control group (wild-type and normal diet) were used. Exceptionally, for the analysis of mRNA expression in the duodenum of Hfe mice, only 4 samples were used. RNA samples (5 µg) were converted into first strand cDNA with a First Strand cDNA Synthesis kit (Fermentas, Burlington, Canada) using random hexamer primers. The relative expression levels of target genes in the duodenum and liver were assessed by Q-RT-PCR using the LightCycler detection system (Roche, Rotkreuz, Switzerland). The reaction setup, cycling program, standard curve method and primer pairs for Angptl4, Dnajb1 and Tfrc have been described before [27]. Mouse Hamp1 and Hamp2 primers have also been characterized previously [26]. The primer sets for the other target genes (Dataset S5) were designed using Primer3 [45], based on the complete cDNA sequences deposited in GenBank. The specificity of the primers was verified using NCBI Basic Local Alignment and Search Tool (BLAST) [46]. To avoid amplification of contaminating genomic DNA, both primers from each set were specific to different exons, when possible. Each cDNA sample was tested in triplicate. The mean and SD of the 3 crossing point (Cp) values were calculated for each sample and a SD cutoff level of 0.2 was set. Accordingly, when the SD of the triplicates of a sample was greater than 0.2, the most outlying replicate was excluded and the analysis was continued with the two remaining replicates. Using the standard curve method, the Cp values were then transformed by the LightCycler software into copy numbers. The expression value for each sample was the mean of the copy numbers for the sample's replicates. This value was normalized by dividing it by the geometric mean of the 4 internal control genes, an accurate normalization method [47]. The normalization factor was always considered as a value of 100 and the final result was expressed as relative mRNA expression level.

Statistical analyses

We performed statistical analyses of the microarray data using the empirical Bayes t-test for the comparison of 2 groups, and the p-values are shown in supplementary datasets S1-S4. For the Q-RT-PCR results, we used the Mann-Whitney test to evaluate differences in group values for Hfe mice vs. wild-type mice and mice with dietary iron overload vs. untreated mice. Due to the small sample sizes, the statistical significance is only considered as orientative. Values are expressed as mean±SD. List of genes differentially expressed in the liver of Hfe knockout mice (0.04 MB XLS) Click here for additional data file. List of genes differentially expressed in the liver of mice fed an iron-supplemented diet (0.05 MB XLS) Click here for additional data file. Genes whose expression was altered in the duodenum of Hfe knockout mice (0.05 MB XLS) Click here for additional data file. Genes whose expression was affected in the duodenum of mice fed an iron-supplemented diet (0.04 MB XLS) Click here for additional data file. Sequences of the primers used in the Q-RT-PCR experiments performed in this study (0.06 MB DOC) Click here for additional data file.
  42 in total

1.  Differential expression of genes related to HFE and iron status in mouse duodenal epithelium.

Authors:  Emmanuelle Abgueguen; Bertrand Toutain; Hélène Bédrine; Céline Chicault; Magali Orhant; Marc Aubry; Annabelle Monnier; Stéphanie Mottier; Hélène Jouan; Seiamak Bahram; Jean Mosser; Patricia Fergelot
Journal:  Mamm Genome       Date:  2006-05       Impact factor: 2.957

Review 2.  Mechanisms of iron accumulation in hereditary hemochromatosis.

Authors:  Robert E Fleming; William S Sly
Journal:  Annu Rev Physiol       Date:  2002       Impact factor: 19.318

3.  A novel mammalian iron-regulated protein involved in intracellular iron metabolism.

Authors:  S Abboud; D J Haile
Journal:  J Biol Chem       Date:  2000-06-30       Impact factor: 5.157

4.  Regulatory defects in liver and intestine implicate abnormal hepcidin and Cybrd1 expression in mouse hemochromatosis.

Authors:  Martina Muckenthaler; Cindy N Roy; Angel O Custodio; Belén Miñana; Jos deGraaf; Lynne K Montross; Nancy C Andrews; Matthias W Hentze
Journal:  Nat Genet       Date:  2003-05       Impact factor: 38.330

5.  The gene encoding the iron regulatory peptide hepcidin is regulated by anemia, hypoxia, and inflammation.

Authors:  Gaël Nicolas; Caroline Chauvet; Lydie Viatte; Jean Louis Danan; Xavier Bigard; Isabelle Devaux; Carole Beaumont; Axel Kahn; Sophie Vaulont
Journal:  J Clin Invest       Date:  2002-10       Impact factor: 14.808

6.  Mechanism of increased iron absorption in murine model of hereditary hemochromatosis: increased duodenal expression of the iron transporter DMT1.

Authors:  R E Fleming; M C Migas; X Zhou; J Jiang; R S Britton; E M Brunt; S Tomatsu; A Waheed; B R Bacon; W S Sly
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

7.  Comparative analysis of mouse hepcidin 1 and 2 genes: evidence for different patterns of expression and co-inducibility during iron overload.

Authors:  Gennady Ilyin; Brice Courselaud; Marie Bérengère Troadec; Christelle Pigeon; Mehdi Alizadeh; Patricia Leroyer; Pierre Brissot; Olivier Loréal
Journal:  FEBS Lett       Date:  2003-05-08       Impact factor: 4.124

8.  Differential expression of stress-inducible proteins in chronic hepatic iron overload.

Authors:  Kyle E Brown; Kimberly A Broadhurst; M Meleah Mathahs; Jamie Weydert
Journal:  Toxicol Appl Pharmacol       Date:  2007-05-25       Impact factor: 4.219

9.  Microarray validation: factors influencing correlation between oligonucleotide microarrays and real-time PCR.

Authors:  Jeanine S Morey; James C Ryan; Frances M Van Dolah
Journal:  Biol Proced Online       Date:  2006-12-12       Impact factor: 3.244

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

View more
  5 in total

1.  Elevated hepatic iron activates NF-E2-related factor 2-regulated pathway in a dietary iron overload mouse model.

Authors:  Mi Sun Moon; Emily I McDevitt; Junjia Zhu; Bruce Stanley; Jacek Krzeminski; Shantu Amin; Cesar Aliaga; Thomas G Miller; Harriet C Isom
Journal:  Toxicol Sci       Date:  2012-05-30       Impact factor: 4.849

2.  The liver-specific microRNA miR-122 controls systemic iron homeostasis in mice.

Authors:  Mirco Castoldi; Maja Vujic Spasic; Sandro Altamura; Joacim Elmén; Morten Lindow; Judit Kiss; Jens Stolte; Richard Sparla; Lorenza A D'Alessandro; Ursula Klingmüller; Robert E Fleming; Thomas Longerich; Hermann J Gröne; Vladimir Benes; Sakari Kauppinen; Matthias W Hentze; Martina U Muckenthaler
Journal:  J Clin Invest       Date:  2011-04       Impact factor: 14.808

3.  Gene expression profiling in the submandibular gland, stomach, and duodenum of CAVI-deficient mice.

Authors:  Pei-wen Pan; Katri Käyrä; Jukka Leinonen; Marja Nissinen; Seppo Parkkila; Hannu Rajaniemi
Journal:  Transgenic Res       Date:  2010-09-11       Impact factor: 2.788

4.  The hepatocyte-specific HNF4α/miR-122 pathway contributes to iron overload-mediated hepatic inflammation.

Authors:  Min Li; Yuxiao Tang; Lusha Wu; Fengfeng Mo; Xin Wang; Hongxia Li; Ruirui Qi; Hongwei Zhang; Arun Srivastava; Chen Ling
Journal:  Blood       Date:  2017-06-27       Impact factor: 22.113

5.  A strong anti-inflammatory signature revealed by liver transcription profiling of Tmprss6-/- mice.

Authors:  Michela Riba; Marco Rausa; Melissa Sorosina; Davide Cittaro; Jose Manuel Garcia Manteiga; Antonella Nai; Alessia Pagani; Filippo Martinelli-Boneschi; Elia Stupka; Clara Camaschella; Laura Silvestri
Journal:  PLoS One       Date:  2013-07-29       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.