Literature DB >> 19787086

Level of expression of the nonmutant Ferrochelatase allele is a determinant of biochemical phenotype in a mouse model of erythropoietic protoporphyria.

Joseph Bloomer1, Yongming Wang, Dongquan Chen.   

Abstract

Ferrochelatase (FECH) activity is decreased in erythropoietic protoporphyria (EPP), causing increased production and excretion of protoporphyrin. This study examined whether the level of expression of the nonmutant FECH allele is a determinant of phenotype in a mouse model of EPP that carries a heterozygous deletion of exon 10 in FECH. Two mice strains that had a two-fold difference in FECH mRNA levels in bone marrow and liver (low expressing C3H/HeJ and high expressing CBA/J) were used to establish congenic strains containing the mutation. Erythrocyte protoporphyrin levels in C3H/HeJ heterozygous mice were significantly higher than in their wildtype littermates, whereas levels in CBA/J heterozygous mice did not differ significantly from their wildtype littermates. Biliary excretion of protoporphyrin was also significantly higher in C3H/HeJ heterozygous mice. The levels of normal FECH mRNA in bone marrow measured by real time PCR were 138 +/- 30 copies per ug total RNA in C3H/HeJ +/- mice, 320 +/- 59 in C3H/HeJ +/+ mice and 634 +/- 38 in CBA/J +/+ mice. Levels in liver tissue of the mice differed significantly in the same pattern. Thus, the level of expression of the nonmutant FECH allele is a determinant of phenotype in a mouse model of EPP as has been demonstrated in human EPP.

Entities:  

Keywords:  erythropoietic; genotype/phenotype; mouse; protoporphyria

Year:  2008        PMID: 19787086      PMCID: PMC2733089          DOI: 10.4137/grsb.s636

Source DB:  PubMed          Journal:  Gene Regul Syst Bio        ISSN: 1177-6250


Introduction

Erythropoietic protoporphyria (EPP) is a genetic disorder of porphyrin metabolism in humans that was first described in 1961 by Magness and co-workers when they reported a man with lifelong sensitivity to sunlight and increased protoporphyrin levels in erythrocytes and feces (Magness et al. 1961). Photosensitivity, which is the major clinical feature, results from the photoactive damage of protoporphyrin to skin (Timonen et al. 2000). Some patients also develop hepatobiliary disease due to protoporphyrin induced damage to liver structure and function (Doss and Frank, 1989). This may progress to liver failure and necessitate liver transplantation (McGuire et al. 2005). A deficiency of ferrochelatase (FECH, EC4.99.1.1) activity underlies the excessive production and excretion of protoporphyrin in EPP (Bonkovsky et al. 1975). FECH, which is the last enzyme in the heme biosynthesis pathway, is located on the matrix side of the inner mitochondrial membrane and catalyzes the insertion of ferrous iron into protoporphyrin to form heme (Dailey et al. 2000). All heme forming tissues may potentially contribute to the excess formation of protoporphyrin in EPP, with the bone marrow being the major source (Poh-Fitzpatrick, 1985). The functional human FECH enzyme is a homodimer that contains two NO sensitive and coordinated 2Fe-2S clusters (Wu et al. 2001). The FECH gene contains 11 exons, and FECH mRNA has an open reading frame of 1269 bases that encodes a protein of 423 amino acid residues (Nakahashi et al. 1990). There is a single transcript with 2 poly-adenylation sites in erythroid and non-erythroid cells, indicating there is only one FECH gene in heme forming tissues (Taketani et al. 1992). Patients with EPP are usually heterozygous for a FECH mutation, even those with severe disease, and extensive genetic heterogeneity has been noted (Wang et al. 1994; Rufenacht et al. 1998). The gene mutations by themselves do not account for disease expression, as they cause only minimally increased protoporphyrin overproduction (Chen et al. 2002). Thus most individuals with symptomatic disease also have a polymorphism in intron 3 of the nonmutant FECH allele (IVS3–48c) that lowers gene expression (Gouya et al. 2002; Risheg et al. 2003). The purpose of this study was to examine whether the level of expression of the nonmutant FECH allele is also a determinant of phenotype in a mouse model of EPP, using mice in which an exon 10 deletion of FECH had been introduced into the genome of mouse embryonic stem cells by homologous recombination (Magness and Brenner, 1999; Magness et al. 2002).

Methods

Selection and breeding of Mice

Magness and Brenner provided mice carrying the exon 10 deletion, along with a neomycin resistant cassette in the same allele (Magness et al. 2002). Primers were designed to hybridize with this cassette, and PCR amplification of genomic DNA from animals with the exon 10 deletion produced a product that was identified by ethidium bromide stain on agarose gel, whereas genomic DNA from wild-type animals did not produce the product. Wild-type strains were selected on the basis of FECH gene expression as assessed by the level of FECH mRNA in liver and bone marrow, using relative quantitative RT-PCR as previously described (Risheg et al. 2003). Mice from five different strains were evaluated (Table 1). Based on the results, CBA/J mice were selected as a high expressing strain and C3H/HeJ mice as a low expressing strain. FECH cDNA and 1000 bases of the FECH gene promoter and 5′ untranslated region of the two mice strains were sequenced, and no differences were found. Intron 3 was also sequenced, and both strains had base t at position -48. Thus it is likely that the difference in FECH expression in the two strains is caused by transacting factors and/or modifier genes, not by a difference in FECH gene sequence.
Table 1

FECH mRNA in different mice strains.

StrainFECH mRNA ÷ 18S RNA (%)

bone marrowliver
C3H/HEJ36.9 ± 11.653.7 ± 5.8
129/SvEvJ44.4 ± 5.162.3 ± 6.6
DBA/2J54.4 ± 3.837.3 ± 4.4
BAIB/cBy67.5 ± 8.150.3 ± 15.8
CBA/J80.0 ± 16.2126.8 ± 13.2

Mean ± SEM for 6 mice in each group. FECH DNA sequence in C3H/HeJ and CBA/J mice.

same sequence for FECH cDNA.

same sequence for proximal 1000 bases of 5′—untranslated region of FECH gene.

same base at position IVS3–48 (thymine).

In order to produce congenic strains, male offspring carrying the exon 10 deletion were back-crossed with wild-type female C3H/HeJ and CBA/J mice through 7–9 generations. Breeding of the mice was carried out in the University of Alabama at Birmingham Genetic Engineered Mouse Breeding Facility. The biochemical phenotype of heterozygous adult mice (3–6 months old) and their wild-type littermates was assessed by measurement of 1) erythrocyte protoporphyrin level; 2) total porphyrin level and fluorescence peak in bile; 3) FECH enzyme activity in liver. The normal FECH mRNA level in bone marrow and liver was measured by quantitative real time PCR. Statistical analysis was done by the students T test and Wilcoxin/Kruskal-Wallis test.

Biochemical measurements

Protoporphyrin levels in erythrocytes were measured by spectroflourometry after solvent partitioning (Morton et al. 1988; Bloomer et al. 1998). The level and fluorescence peak of porphyrin in bile was assessed by spectroflourometry after dissolving the bile in perchloric acid methanol (Morton et al. 1988; Bloomer et al. 1998). Bile was obtained from gallbladders of the mice at the time of sacrifice. The level of FECH activity in whole liver homogenates was measured by Zn-deuteroporphyrin formation in pmol per second per mg protein (Bloomer et al. 1998).

Quantitative measurement of FECH mRNA by real-time PCR

The level of FECH mRNA was measured in total RNA extracted from whole liver tissue and from bone marrow of leg bones of the adult mice. Only the level of the wild-type (normal) species of FECH mRNA was measured in wild-type mice and mice heterozygous for the exon 10 deletion in FECH gene. The mutant species of FECH mRNA was not measured. The method used the Quantitect™ custom assay developed by Qiagen (Valencia, CA). In order to develop the standard curve for the assay, RNA was extracted from mouse liver, and a 484 bp FECH amplicon (from exon 7 to exon 11) was generated by RT-PCR. The primer sequences were sense, TCATCCAGTGCTTTGCAGAC; antisense, AGCTTGTTGGACTGGATGTG. The amplicon was purified on silica column (QIA quick PCR purification, Qiagen) and cloned into pCRS.1 vector (Invitrogen). Ligated fragments were placed in DH5a competent cells (Life Technologies). Plasmid DNA was prepared and the cloned amplicons were sequenced; cDNA plasmid concentrations were measured by optical density spectrophotometry (Spectronic Genesys 5). Copy number determination was calculated using the following formula: Copies/ml = 6.023 × 1023 × [C] × OD260/molecular weight Where [C] = 5 × 10−5 g/ml for DNA; Molecular weight of the PCR product = number base pairs × 6.58 × 102. Serial dilutions from the cDNA plasmid were used as standard curves. Primers and probes were designed by Qiagen Quantiprobe Design Software (Qiagen). The probe was designed to locate in exon 10 for specific detection of wild-type FECH mRNA. The probe sequence was ATCAGAAGAGCGGAGT with fluorophone at the 3′ end and nonfluorescent quencher and minor grove binder (MGB) at the 5′ end. The PCR primers yield a 93-nt amplicon from wild-type FECH with one primer specific to exon 9/10 fusion region and one primer specific to exon 11. Real-time PCR was performed on an ABI prism 7700 sequence detection system (Applied Biosystems). PCR conditions were 95 °C for 15 min, 40 cycles at 94° for 15s, 56 °C for 30s and 76 °C for 30s. Each 50 μl reaction contained 25 μl 2× QuantiTect probe PCR Master Mix, 2.5 μl 20× primer mix, 2.5 μl 20 × Quantiprobe Solution and template cDNA. Each sample was run in triplicate. Standard wells contained 4000, 2000, 1000, 500, 200, 100, 50 and 10 copies of plasmid FECH cDNA.

DNA microarray analysis of bone marrow gene expression

Microarray analysis of bone marrow gene expression in C3H/HeJ mice and CBA/J mice was done using the GeneChip® Mouse Expression Set 430 (Affymetrix, Santa Clara, CA). Bone marrow was obtained from leg bones of 3 adult male mice and pooled as a single sample. Three samples were prepared for the two mice strains, total RNA was isolated by TRIzol reagent (Life Technologies, Rockville, MD) from each of the 6 samples, and 2 ug of total RNA from each sample was submitted to the Microarray Shared Facility for Affymetrix Gene Chip Analysis, University of Alabama at Birmingham Comprehensive Cancer Center. The details of the procedures used in the analysis are presented in the manufacturer’s technical manual (Affymetrix). In brief, the quality of the RNA was determined using the RNA Nano Chip on the Agilent BioAnalyzer before synthesis of double-strand cDNA. Double-strand cDNA was generated by linear amplification using an oligo dT-T7 primer and reverse transcriptase (RT). Biotin labeled cRNA was then synthesized by in vitro transcription (IVT) using the 3′-Amplification Reagents for IVT labeling (Affymetrix). The quality of the cRNA was determined on the Agilent BioAnalyzer before it was fragmented into 50 to 200 base fragments. Prior to hybridization to the expression arrays, the quality of the hybridization target was determined by hybridization to a Test3 array. The result indicated the efficacy of the RT/IVT reaction by the ratios of expression level of 5′ to 3′ of the housekeeping genes β-actin and GAPDH. If the quality of the hybridization target passed the quality parameters from the Test3 array, the expression arrays were hybridized overnight at 45 °C and then washed, stained, and scanned on the following day. Gene expression levels were extracted using the Gene Chip Operating Software. Comparisons were made of bone marrow gene expression for each of the 3 CBA/J samples with each of the 3 C3H/HeJ samples to determine the fold change for each transcript (9 total comparisons). For microarray data analysis and annotation, the software packages GeneTraffic (Iobio/Stratage/Agilent, Inc. Santa Clara, CA) and ArrayAssist Enterprise together with PathwayAssist (Stratagene/Agilent, Santa Clara, CA) were used. Briefly, the raw Genechip files from GCOS were uploaded, background-subtracted, and normalized with GC-RMA method (Gentleman et al. 2004). The control group was used as a baseline to calculate the intensity ratio/fold changes of the treated group versus the control group. The ratio was log2-transformed before further statistical analysis. The p-values were obtained by an unpaired t-test assuming unequal variance.

Results

Levels of erythrocyte protoporphyrin in adult (3–6 months old) heterozygous C3H/HeJ mice were significantly higher than in C3H/HeJ wild-type mice, CBA/J heterozygous mice and CBA/J wildtype mice (Table 2). There was no significant difference noted between male and female mice in the same strain. Bile porphyrin levels in the heterozygous C3H/HeJ mice were also significantly increased compared to C3H/HeJ wild-type mice (79 ± 0.1 versus 28 ± 0.1 ug/dl, p = 0.006), and the peak emission fluorescence was at 604 nm, characteristic of protoporphyrin. Thus, there was increased production and excretion of protoporphyrin in the heterozygous C3H/HeJ mice.
Table 2

Normal FECH mRNA and FECH activity in mice.

The levels of normal FECH mRNA in bone marrow and liver of wildtype C3H/HeJ mice were approximately 50% of those in CBA/J wildtype mice (Table 3), which agreed well with the relative levels estimated by relative quantitative PCR (Table 1). The lowest levels of normal FECH mRNA were found in C3H/HeJ heterozygous mice, in which bone marrow and liver levels were reduced by 57% and 60% respectively compared to levels in wildtype C3H/HeJ mice.
Table 3

Normal FECH mRNA and FECH activity in mice.

C3H/HeJ +/−C3H/HeJ +/+CBA/J +/+
FECH mRNA*
bone marrow138 ± 30320 ± 59634 ± 38
relative value1.02.34.6
liver430 ± 601078 ± 671798 ± 149
relative value1.02.54.2
FECH activity**
liver4.4 ± 0.49.4 ± 0.210.8 ± 0.2
n566

copies/μg total RNA, mean ± SEM.

pmol Zn-deuteroporphyrin per second per mg protein, mean ± SEM.

FECH enzyme activity in livers of heterozygous C3H/HeJ mice was reduced by 53% compared to the activity in wildtype C3H/HeJ mice, in parallel with the reduction in normal liver FECH mRNA. This argues against a significant dominant/negative effect of the mutant FECH protein on the normal protein in mice with an exon 10 deletion. If that were the case, the reduction in FECH enzyme activity should have been approximately 75%. In order to compare bone marrow expression of other genes in these two mouse strains, and potentially to identify candidate modifier genes of FECH, DNA microarray analysis was done in adult male CBA/J and C3H/HeJ mice. This identified 103 genes that were upregulated in CBA/J mice compared to C3H/HeJ mice as defined by at least a 1.5 fold increase in mRNA level (p < 0.05) (Table 4). There were 31 genes which had more than a two-fold change in the level of expression. In contrast there were only 48 bone marrow genes that were upregulated in C3H/HeJ mice compared to the CBA/J mice, six of which had a more than two-fold change in level of expression (Table 5). Thus more bone marrow genes in CBA/J mice are upregulated than in the C3H/HeJ mice. The pathways that were most impacted by these changes were SAPK-JNK signaling, mitrochondrial apoptosis control, integrin signaling, death receptor signaling, caspase signaling, apoptosis, PDGF signaling. The genes encoding other enzymes of the heme biosynthesis pathway showed no significant difference in level of expression between C3H/HeJ mice and CBA/J mice.
Table 4

Bone marrow genes upregulated in CBA/J mice compared to C3H/HeJ mice (mean fold change ≥1.5, P < 0.05).

Gene titleFoldGene titleFoldGene titleFold
immunoglobulin heavy chain 1a (serum IgG2a)26.5RIKEN cDNA4930519L02 gene2.3caspase 31.9
Immunoglobulin heavy chain (gamma polypeptide)8.5SMC (structural maintenance of chromosomes1)-like 1 (S. cerevisiae)2.3platelet-activating factor acetylhydrolase, isoform1b, alpha2 subunit1.9
Immunoglobulin heavy chain (gamma polypeptide)7.6jumonji, AT rich interactive domain 1D(Rbp2 like)2.3ADP-ribosylation factor guanine nucleotide- exchange factor 11.9
Son cell proliferation protein (Son), transcript variant 2, mRNA6.2thyroid hormone receptor interactor 122.3src homology 2 domain- containing transforming protein C11.9
Phosphofurin acidic cluster sorting protein (Pacs1), mRNA 13.5RIKEN cDNA9430041J06 gene2.3carnitine palmitoyltransferase 1a, liver1.9
immunoglobulin kappa chain variable 28 (V28)///similar to immunoglobulin light chain variable region2.9RIKEN cDNA1810060J02 gene2.3RIKEN cDNA2610005L07 gene1.9
expressed sequence AI3147602.8Zinc finger, SWIM domain containing 6, mRNA (cDNA clone MGC:29327 IMAGE:5025391)2.2sorcin1.9
glia maturation factor, beta2.6high density lipoprotein(HDL) binding protein2.1choline kinase alpha1.9
RNA binding motif protein 52.6RIKEN cDNA9030612M13 gene2.0zinc finger, SWIM domain containing 61.8
EPM2A (laforin) interacting protein 12.5RIKEN cDNA2610005L07 gene2.0RIKEN cDNA4932438A13 gene1.8
expressed sequence AI5857932.5thyroid hormone receptor interactor 122.0RIKEN cDNA2010106G01 gene1.8
adaptor-related protein complex 3, mu 1 subunit2.4RIKEN cDNA2610005L07 gene2.0v-crk sarcoma virus CT10 oncogene homolog (avian)-like1.8
T-cell leukemia translocation altered gene, mRNA (cDNA clone MGC:25540 IMAGE:3672301)2.4vacuolar protein sorting 352.0hook homolog 3(Drosophila)1.8
expressed sequence AA4071752.4male sterility domain containing 22.0acidic (leucine-rich) nuclear phosphoprotein32 family, member A1.8
thyroid hormone receptor associated protein 32.4alpha thalassemia/mental retardation syndrome X-linked homolog (human)2.0chitobiase, di-N-acetyl-1.8
GPI-anchored membrane protein 12.4protein kinase, cAMP dependent, catalytic, beta2.0cDNA sequence BC0214381.8
expressed sequence AW0117522.4pinin2.0tripeptidyl peptidase II1.8
RIKEN cDNA2610018G03 gene2.3Toll-like receptor 4, mRNA (cDNA clone MGC:35879 IMAGE:3493732)1.9lipoma HMGIC fusion partner-like 21.8
expressed sequence AI3168282.3PREDICTED: histocompatibility 60 [Mus musculus], mRNA sequence1.9syntaxin 181.7
glia maturation factor, beta2.3RIKEN cDNA4933439C20gene1.9procollagen, type IV, alpha 3 (Goodpasture antigen) binding protein1.7
RIKEN cDNA6230424C14 gene1.7PQ loop repeat containing1.6
establishment of cohesion 1 homolog 1 (S. cerevisiae)1.7CWF19-like 2, cell cycle control (S. pombe)1.6
tetratricopeptide repeat domain 141.7potassium channel tetramerisation domain containing 12b1.6
Atpase, class VI, type11C1.7solute carrier family 26, member 81.6
Baculoviral IAP repeat- containing 4 (Birc4), mRNA1.7Protein kinase C, alpha(Prkca), mRNA1.6
RIKEN cDNA2810474O19 gene1.7fusion, derived from t(12;16) malignant liposarcoma (human)1.6
Ndrp mRNA for neuronal differentiation related protein1.7zinc finger protein 1461.6
WD repeat domain 481.7retinol binding protein4, plasma1.6
RIKEN cDNA4931406H21 gene1.7RIKEN cDNA3300001M20 gene1.6
RIKEN cDNA1110059P08 gene(1110059P08Rik), mRNA1.7ubiquitin specific peptidase 31.6
ectonucleotide pyrophosphatase/phosphodiesterase 51.7expressed sequence AW0117521.6
Period homolog 3 (Drosophila) (Per3), mRNA1.7influenza virus NS1A binding protein1.6
SEC24 related gene family, member B (S. cerevisiae) (Sec24b), mRNA1.7transient receptor potential cation channel, subfamily M, member 71.6
nuclear receptor subfamily 2, group C, member 21.6v-crk sarcoma virus CT10 oncogene homolog (avian)1.6
ubiquitin specific peptidase 341.6poly (A) polymerase alpha1.5
5′-nucleotidase, cytosolic II-like 11.6AF4/FMR2 family, member 11.5
CCR4-NOT transcription complex, subunit 71.6inhibitor of kappa light polypeptide enhancer in B-cells, kinase complex-associated protein1.5
ROD1 regulator of differentiation 1(S. pombe)1.6PREDICTED: Braf transforming gene [Mus musculus], mRNA sequence1.5
tripartite motif protein 301.6phosphatase and tensin homolog1.5
MARVEL (membrane- associating) domain containing 11.6
solute carrier family 2(facilitated glucose transporter), member 91.6
RIKEN cDNA0610010K06 gene1.6
Wiskott-Aldrich syndrome protein interacting protein (Waspip), mRNA1.6
Table 5

Bone marrow genes upregulated in C3H/HeJ mice compared to CBA/J mice (mean fold change ≥1.5, P < 0.05).

Gene titleFoldGene titleFold
complement receptor 22.3protein kinase C, epsilon1.6
chemokine (C–C motif) receptor 62.3B-cell leukemia/lymphoma 21.6
Fas apoptotic inhibitory molecule 32.2RIKEN cDNA 9230115F04 gene1.6
GTPase, IMAP family member 72.1phenylalanine-tRNA synthetase-like, beta subunit1.6
Phosphatidic acid phosphatase type2B (Ppap2b), mRNA2.0pleckstrin homology domain-containing, family A (phosphoinositide binding specific) member 21.6
SH3-binding kinase 12.0EMI domain containing 11.6
zinc finger protein 3182.0N-acetylglutamate synthase1.6
phosphorylase kinase alpha 12.0histocompatibility 2, O region alpha locus1.6
chemokine (C–C motif) receptor 71.9RIKEN cDNA 6430596G11 gene1.6
CD22 antigen1.9caspase recruitment domain family, member 111.6
A kinase (PRKA) anchor protein 21.9POU domain, class 2, transcription factor 21.6
AF4/FMR2 family, member 3 (Aff3), mRNA1.8Forkhead box P1 (Foxp1), mRNA1.6
hypothetical protein A630043P061.8ankyrin repeat domain 101.6
T-cell receptor alpha chain///RIKEN cDNA A430107P09 gene1.8expressed sequence AW7423191.5
RIKEN cDNA 2310051N18 gene1.8gene model 1752, (NCBI)1.5
radical S-adenosyl methionine domain containing 11.8hemoglobin Y, beta-like embryonic chain1.5
RIKEN cDNA 4921511H13 gene1.7SEC8 (S. cerevisiae), mRNA (cDNA clone MGC:36178 IMAGE:5355276)1.5
PREDICTED: similar to cyclin B1 interacting protein 1 isoform a [Mus musculus], mRNA sequence1.7brain protein 161.5
TRNA splicing endonuclease 2 homolog (SEN2, S. cerevisiae) (Tsen2), mRNA1.7RIKEN cDNA 2700094F01 gene, mRNA (cDNA clone MGC:73433 IMAGE:6400080)1.5
zinc finger and BTB domain containing 41.7RIKEN cDNA 1810013B01 gene1.5
Myocyte enhancer factor 2C, mRNA (cDNA clone MGC:46981 IMAGE:4500786)1.7Pyruvate dehydrogenase kinase, isoenzyme 1, mRNA (cDNA clone MGC:28719 IMAGE:4458562)1.5
Fibromodulin1.7DEAD (Asp-Glu-Ala-Asp) box polypeptide 541.5
sestrin 31.7lymphocyte protein tyrosine kinase1.5
cDNA sequence BC0660281.6methylenetetrahydrofolate dehydrogenase (NAD+ dependent), methenyltetrahydrofolate cyclohydrolase1.5

Discussion

This study demonstrates that mice strains have different levels of FECH mRNA in the major tissues of heme formation, bone marrow and liver, as CBA/J mice had levels approximately two times those found in C3H/HeJ mice (Tables 1 and 3). As a consequence, C3H/HeJ mice heterozygous for an exon 10 deletion in FECH had a significantly higher level of protoporphyrin in erythrocytes and bile than wildtype C3H/HeJ mice (Table 2), with an insignificant increase in heterozygous CBA/J mice compared to wild-type CBA/J mice. Thus, the level of expression of the nonmutant FECH allele is a determinant of biochemical phenotype in this mouse model of EPP. However, the biochemical abnormality in C3H/HeJ heterozygous mice is mild compared to that in humans with clinically manifest EPP, where erythrocyte protoporphyrin levels are usually several hundred ug/dL, and in patients with severe disease several thousand ug/dL. In most humans with clinically manifest EPP, the level of expression of the nonmutant FECH allele is lowered by a polymorphism in intron 3 (IVS3–48c) that causes increased formation of aberrantly spliced FECH mRNA due to activation of a cryptic acceptor splice site. This causes incorporation of 63 bases of intron 3 into FECH mRNA, and the aberrantly spliced transcript contains a stop codon that causes it to be rapidly degraded by nonsense mediated decay. Thus the polymorphism exerts a more pronounced effect on the expression of the nonmutant FECH allele than occurs due to baseline expression in the mouse model. Nevertheless, among patients who carry the same mutation and the polymorphism there can be considerable variation in the severity of the phenotype, thus indicating that there are probably additional factors outside the FECH locus that impact phenotype in EPP, in particular transcription factors and modifier genes that might alter the level of expression of FECH. There are several other bone marrow genes in CBA/J mice that are differently regulated than those in C3H/HeJ mice (Tables 4 and 5). Which, if any, of these might be causing a difference in FECH expression cannot be determined at this time, however. Several other investigators reported that the phenotype of a single mutation in mice was modulated by the genetic background of the strain, which was attributed to modifier genes (Montagutelli, 2000). This includes the ethylnitro-sourea-induced point mutation in FECH that was originally described as causing recessive inheritance of FECH activity in the house mouse (FECHml/Pas/FECH ml/Pas mouse) (Boulechfar et al. 1993). Abitbol et al. examined three congenic strains into which the point mutation had been introduced (Abitol et al. 2005). Compared with the BALB/cByJCrl genetic background in which recessive transmission of the mutation caused severe skin lesions, anemia, jaundice and hepatic dysfunction with massive protoporphyrin deposits, C57BL/6JCrl mice developed anemia and intense liver accumulation of protoporphyrin with hepatocyte damage, but bile excretory function was not affected, and the serum bilirubin remained low. In SJL/JOrlCrl homozygous mice there was a very high protoporphyrin concentration in erythrocytes, but anemia was mild, and there were few hepatic deposits. Navarro et al. used these same three congenic strains to show a difference in the level of mitochondrial respiratory chain enzyme activities and suggested that an increase of these activities provided protection against liver disease in the EPP mice (Navarro et al. 2005). Thus, the study of different congenic mice strains with EPP may provide a means by which to identify modifier genes of phenotype in this disorder, which could help in understanding the reason for different phenotypes in human EPP.
  23 in total

1.  Vascular changes in erythropoietic protoporphyria: histopathologic and immunohistochemical study.

Authors:  K Timonen; A L Kariniemi; K M Niemi; A M Teppo; R Tenhunen; R Kauppinen
Journal:  J Am Acad Dermatol       Date:  2000-09       Impact factor: 11.527

2.  Erythropoietic protoporphyria. A new porphyria syndrome with solar urticaria due to protoporphyrinaemia.

Authors:  I A MAGNUS; A JARRETT; T A PRANKERD; C RIMINGTON
Journal:  Lancet       Date:  1961-08-26       Impact factor: 79.321

3.  Hepatic and bile porphyrins in patients with protoporphyria and liver failure.

Authors:  K O Morton; F Schneider; M K Weimer; J G Straka; J R Bloomer
Journal:  Gastroenterology       Date:  1988-06       Impact factor: 22.682

4.  Molecular cloning and sequence analysis of cDNA encoding human ferrochelatase.

Authors:  Y Nakahashi; S Taketani; M Okuda; K Inoue; R Tokunaga
Journal:  Biochem Biophys Res Commun       Date:  1990-12-14       Impact factor: 3.575

5.  Systematic analysis of molecular defects in the ferrochelatase gene from patients with erythropoietic protoporphyria.

Authors:  U B Rüfenacht; L Gouya; X Schneider-Yin; H Puy; B W Schäfer; R Aquaron; Y Nordmann; E I Minder; J C Deybach
Journal:  Am J Hum Genet       Date:  1998-06       Impact factor: 11.025

6.  Molecular defects in ferrochelatase in patients with protoporphyria requiring liver transplantation.

Authors:  J Bloomer; C Bruzzone; L Zhu; Y Scarlett; S Magness; D Brenner
Journal:  J Clin Invest       Date:  1998-07-01       Impact factor: 14.808

7.  Targeted disruption of the mouse ferrochelatase gene producing an exon 10 deletion.

Authors:  S T Magness; D A Brenner
Journal:  Biochim Biophys Acta       Date:  1999-01-06

8.  Protoporphyrin metabolic balance in human protoporphyria.

Authors:  M B Poh-Fitzpatrick
Journal:  Gastroenterology       Date:  1985-05       Impact factor: 22.682

9.  Genotypic determinants of phenotype in North American patients with erythropoietic protoporphyria.

Authors:  Hiba Risheg; Fu-Ping Chen; Joseph R Bloomer
Journal:  Mol Genet Metab       Date:  2003 Sep-Oct       Impact factor: 4.797

10.  Screening for ferrochelatase mutations: molecular heterogeneity of erythropoietic protoporphyria.

Authors:  X Wang; M Poh-Fitzpatrick; S Taketani; T Chen; S Piomelli
Journal:  Biochim Biophys Acta       Date:  1994-01-11
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  1 in total

1.  Modeling the ferrochelatase c.315-48C modifier mutation for erythropoietic protoporphyria (EPP) in mice.

Authors:  Jasmin Barman-Aksözen; Paulina C Wiek; Vijay B Bansode; Frank Koentgen; Judith Trüb; Pawel Pelczar; Paolo Cinelli; Xiaoye Schneider-Yin; Daniel Schümperli; Elisabeth I Minder
Journal:  Dis Model Mech       Date:  2017-01-12       Impact factor: 5.758

  1 in total

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