- Research article
- Open Access
Cell type-specific over-expression of chromosome 21 genes in fibroblasts and fetal hearts with trisomy 21
BMC Medical Genetics volume 7, Article number: 24 (2006)
Down syndrome (DS) is caused by trisomy 21 (+21), but the aberrations in gene expression resulting from this chromosomal aneuploidy are not yet completely understood.
We used oligonucleotide microarrays to survey mRNA expression in early- and late-passage control and +21 fibroblasts and mid-gestation fetal hearts. We supplemented this analysis with northern blotting, western blotting, real-time RT-PCR, and immunohistochemistry.
We found chromosome 21 genes consistently over-represented among the genes over-expressed in the +21 samples. However, these sets of over-expressed genes differed across the three cell/tissue types. The chromosome 21 gene MX1 was strongly over-expressed (mean 16-fold) in senescent +21 fibroblasts, a result verified by northern and western blotting. MX1 is an interferon target gene, and its mRNA was induced by interferons present in +21 fibroblast conditioned medium, suggesting an autocrine loop for its over-expression. By immunohistochemistry the p78MX1 protein was induced in lesional tissue of alopecia areata, an autoimmune disorder associated with DS. We found strong over-expression of the purine biosynthesis gene GART (mean 3-fold) in fetal hearts with +21 and verified this result by northern blotting and real-time RT-PCR.
Different subsets of chromosome 21 genes are over-expressed in different cell types with +21, and for some genes this over-expression is non-linear (>1.5X). Hyperactive interferon signaling is a candidate pathway for cell senescence and autoimmune disorders in DS, and abnormal purine metabolism should be investigated for a potential role in cardiac defects.
Trisomy 21 (+21) is the most common human chromosomal aneuploidy at term, and the only one with long-term viability. This syndrome has attracted intense research interest as a prevalent cause of mental retardation, and adults with DS develop pathological and neuropsychiatric aspects of Alzheimer's disease as early as age 40. DS is also associated with phenotypes outside of the central nervous system. Among these are cardiac septal defects, autoimmune diseases, and signs of premature cellular senescence including skin wrinkling. A unifying explanation for the diverse features of DS is not apparent, although they are presumably due to abnormal expression of specific sets of critical genes, both on chromosome 21 and, through gene-gene interactions, elsewhere in the genome.
Attempts to define a DS "critical region" on chromosome 21 by correlating clinical phenotypes with the locations of sub-chromosomal segments duplicated in individuals with chromosome 21 unbalanced translocations have been somewhat successful, but the critical region for the complete syndrome still encompasses most of the q-arm of this chromosome [1–3]. Simplistically, a 1.5-fold increase in expression of multiple chromosome 21 genes might be expected in DS, and gene expression in DS tissues generally but not invariably correlates with gene dosage, with the most straightforward and best documented correlations found not in primary human tissues, but in a well-controlled segmental trisomy 16 mouse model of DS [4–12], reviewed in . An alternative hypothesis is that there might be non-linear changes in expression of genes on chromosome 21, and on other chromosomes, because of gene-gene interactions in the pathological genetic background of +21. According to this model, genes non-linearly altered in their expression would be strong candidates for contributing to the DS phenotype. Here we show data relevant to these issues from a screen for altered gene expression in early and late-passage fibroblasts and fetal hearts with +21.
Cells, tissues and RNA
Five normal and six DS skin fibroblasts were obtained from the American Type Culture Collection (Rockville, MD), from Coriell Laboratories (Camden, NJ), or as de-identified samples from the cytogenetics laboratory, stored by the Columbia University Pathology Department Tissue Bank. All of the cell were maintained and passaged at a ratio of 1:4 in DMEM (Invitrogen, Carlsbad, CA) containing 10% FBS (Sigma-Aldrich, St. Louis, MO). Cell senescence was scored by activity of acid β-galactosidase every 3 to 5 generations. Tissue from fetal hearts at 15 to 23 weeks gestation, from cases of +21 and controls, was obtained as de-identified cryopreserved samples from the Columbia University Pathology Department Tissue Bank. Total RNA was prepared by a two-step procedure using Trizol™ reagent (Invitrogen), followed by RNeasy (Qiagen, Valencia, CA) purification. This work was carried out in compliance with the Helsinki Declaration: since the human fibroblast and heart tissues were de-identified samples, this study was not considered human subjects research by the Columbia University Internal Review Board.
Total RNA was resolved on formaldehyde-containing agarose gels and transferred to Nytran membranes (Schleicher and Schull, Keene, NH). The probes for northern blotting were partial cDNAs prepared from RT-PCR using gene-specific primers. Hybridization was in ULTRAhyb buffer (Ambion) at 42°C degrees. Probes were stripped by boiling the membranes in 0.1 % SDS/0.1 × SSC for 2 minutes, or were allowed to decay without stripping.
Total RNA, 2 μg, was reverse transcribed with oligo-dT primers using Superscript version II reverse transcriptase (Invitrogen). Quantitative real-time RT-PCR was performed with the Master SYBR Green I system (Roche Molecular Biochemicals, Mannheim, Germany) in a LightCycler apparatus (Roche) with an initial denaturation at 95°C for 30 seconds followed by multiple cycles of denaturation at 95°C for 5 seconds, primer annealing at 62°C for 5 seconds, and extension at 72°C for 12 seconds. LightCycler Software 4.0 (Roche) was used for data analysis, with mRNA content determined from inflection points of SYBR Green fluorescence plotted as a function of cycle number. The following oligonucleotide primers were used for the PCR reactions: GART, sense primer 5'-CCATAGCTTTCCTCCAGCAG-3' and anti-sense primer 5'-AGTTCCAACGCCATCTGTTC-3'; HPRT (housekeeping gene control), sense primer 5'-TTGCTCGAGATGTGATGAAGGA-3' and anti-sense primer 5'-TTCCAGTTAAAGTGGAGAGATCA-3'.
After boiling for 10 minutes in a denaturing solution containing 12 mM Tri pH6.8, 5% glycerol, 0.4% SDS, 3 mM 2-mercaptomethanol, and 0.02% bromophenol blue, 30 μg of total protein lysates from +21 and control fibroblasts were subjected to electrophoresis on SDS-denaturating 4–20 % polyacylamide gels (Invitrogen). After transferring to the nitrocellulose membrane and blocking by 5% milk, the membrane was hybridized with mouse antibodies against p78MX1 or α-actin (Santa Cruz Biotechnology, Santa Cruz, CA) in a solution containing 0.1% BSA, 0.1% Tween-20, and 3% dry milk overnight at 4°C. After washing, the signal was amplified using a peroxidase-conjugated goat anti-mouse IgG (Amersham Pharmarcia Biotech, Piscataway, NJ) and was visualized using a commercial ECL plus detection system (Amersham Pharmarcia Biotech).
Microarray screening and data analysis
HGU95A GeneChips were purchased from Affymetrix (Santa Clara, CA). Double stranded cDNA was generated from 5 μg of total RNA using a poly-dT oligonucleotide that contained a T7 RNA polymerase initiation site and the Superscript Choice System Kit (Invitrogen). The cDNA was phenol/chloroform extracted, and biotinylated cRNA was generated by in vitro transcription using the Bio Array High Yield RNA Transcript Labeling System (Enzo, Farmingdale, NY). The cRNA was purified using RNeasy. cRNA was fragmented according to the Affymetrix protocol, and 15 μg of biotinylated cRNA were hybridized to U95A microarrays (Affymetrix). After scanning, the expression values for each gene were determined using Affymetrix GeneChip software v. 5.0. For each sample, the signals for each gene (probe set) were normalized to the values for the entire microarray, using GeneSpring software (Silicon Genetics, Redwood City, CA). Statistical analyses and automated clustering of the microarray data were done using the Filter Genes and Gene Tree functions of GeneSpring. For supervised analysis, we used ANOVA to identify all genes that differed at p < .05 and, in a separate analysis, at p < .01, in a given cell type (early-passage fibroblast, late-passage fibroblast, fetal hearts) as a function of the presence or absence of +21. The resulting small sets of genes were then further filtered for data quality by requiring Affymetrix 'presence calls' (high-reliability hybridization data) in at least 3 samples, and were filtered a third time for magnitude of the differences in hybridization signals by requiring at least 3 samples with signals >1.2-fold above the experiment mean. We did not correct statistically for multiple comparisons (i.e. 12,000 probe sets queried in each experiment) since doing so would reduce the statistical power far below the level needed to detect changes in the 1.5-fold range. We used the Gene Tree function to group the differentially expressed genes according to the extent of similarity in their patterns of expression across the samples, thereby separating the genes into over-expressed and under-expressed clades. Fold over-expression of each gene was calculated as the mean of the normalized signals for the +21 samples divided by the mean of the control samples.
Antibodies and immunohistochemistry
Sections of archival formaldhehyde-fixed scalp biopsies were deparaffinized in xylene and hydrated through graded ethanols. Antigen retrieval was carried out in 1 mM EDTA buffer by boiling the slides in a microwave oven for 8 minutes at the maximum power and, sequentially, boiling for 15 minutes at a reduced power. Endogenous biotin was blocked by two steps of incubation for 10–20 minutes with egg white and 5% skim milk in 1× Tris-buffered saline (TBS) containing 0.5% BSA and 0.1 % NaN3, respectively. Between the two blocking step for biotin, slides were treated with 0.3% hydrogen peroxide in 0.1% NaN3 to block endogenous peroxidase activity. Slides were washed three times in 1× TBS buffer containing 0.1% Tween-20 (TBS-T) and then incubated with 5% of the blocking serum for 30 minutes in a humidified chamber. After 3 TBS-T washes, slides were hybridized with a monoclonal antibody against p78MX1 at room temperature overnight. After washing in TBS-T, slides were incubated with biotinylated secondary anti-mouse IgG antibody (Vector Laboratories, Burlingame, CA) for 30–40 minutes at room temperature. Antigen-antibody complexes were developed using the Vectastain ABC kit (Vector Laboratories) and a chromogenic substrate, diaminobezidine (Dako). Sections were lightly counterstained with hematoxylin. For assessing the effects of interferon in +21 conditioned medium, we used a goat anti-beta-interferon antiserum (Sigma-Aldrich).
Expression profiling in early- and late-passage fibroblasts with and without +21
For mRNA expression profiling we used Affymetrix U95A GeneChips, which query ~10,000 human genes (12,000 oligonucleotide probe sets), including 108 unique genes (143 probe sets) from chromosome 21. Data obtained using these microarrays in our laboratory have previously shown highly reliable correlations with independent measures of gene expression, including northern blotting [14, 15]. We analyzed mRNA from an accessible cell type, early- and late-passage fibroblasts, with and without +21. The growth characteristics of the fibroblast cultures are listed in Table 1. This table shows the percentages of cells staining for acid beta-galactosidase, a marker that scores positively in senescent cells and negatively in pre-senescent cells. We first asked whether there might be strong and widespread changes in gene expression due to the extra copy of chromosome 21 in the early and/or in late passage fibroblasts. Inspection of the results of non-supervised hierarchical clustering of the expression data argued against this, since this procedure did not detect the presence or absence of +21 (data not shown). We therefore did a supervised analysis of the data, attempting to identify small subsets of genes that might differ significantly in their expression as a function of the presence or absence of +21. As shown in Figure 1 and Tables 2 and 3, ANOVA with a cutoff of p < .01 yielded small sets of genes that were 'high in +21' or 'low in +21'. We repeated the ANOVA using a less stringent cutoff of p < .05, and the resulting larger gene lists are shown as supplemental tables [see Additional file 1 and Additional file 2].
Several noteworthy features were seen in the expression data from the early passage cells. First, genes on chromosome 21 were strikingly over-represented, relative to those on other chromosomes, in the 'high in +21' set. The proportion of chromosome 21 genes was 6/14 (43%) by ANOVA at p < .01, Table 2, and 17/58 (29%) by ANOVA at p < .05 [see Additional file 1]. By comparison, the random expectation based on the number of genes on chromosome 21 divided by the number of genes on all human chromosomes represented on the microarray is only ~1%. Second, no genes on chromosome 21 were present in the 'low in +21' sets. Third, in these early passage cells the magnitude of the observed over-expression for most of the genes in the 'high in +21' subsets was small, generally within the range expected from gene dosage (1.5X) (Table 2 and [see Additional file 1]). These results indicate that the cell cannot fully adjust for the presence of the extra chromosome 21, i.e. at least some genes on this chromosome are not subject to compensatory down-modulation in the trisomic early passage fibroblasts.
The interferon target gene MX1 is non-linearly over-expressed in late passage fibroblasts with +21
The expression data in the late passage fibroblasts showed similarities and differences compared to the results in the early passage cells. Only a single chromosome 21 gene passed the 1-way (single parameter, presence or absence of +21) ANOVA test at p < .01 in these senescing cells, and this gene, MX1, was over-expressed far in excess of the 1.5-fold change expected from chromosome dosage in the +21 fibroblasts (mean fold increase compared to control fibroblasts = 16, Table 3). In addition to MX1, a second closely related chromosome 21-linked gene, MX2, passed the less stringent ANOVA at p < .05 [see Additional file 2]. The over-expression of MX1 in senescing +21 fibroblasts, with progressively increasing expression with increasing passage number, was verified by northern blotting (Fig. 2b,c). In normal fibroblasts, we observed a small increase in MX1 expression at late passages, but these cells never achieved the very high levels of MX1 mRNA seen in the +21 lines (Fig. 2a–c). Accordingly, in 2-way ANOVA using both p < .01 and p < .001 criteria, with the 2 parameters of passage (early, late) and genetic characteristic (normal, +21), the MX1 gene did not appear among the genes whose mRNA levels were associated with senescence independently of genetic characteristic, but did appear among the genes whose mRNA levels were associated with the presence or absence of +21. The gene list from the 2-way ANOVA with a cut-off of p < .001 for differential mRNA expression as a function of early vs. late passage, independent of genetic characteristic, is provided as a supplemental table [see Additional file 3]. While we will remain focused primarily on the effects of +21 in this report, this list of candidate general senescence-associated genes may be useful for future studies.
The correlation coefficient for the level of MX1 mRNA (GeneChip data) vs. the percentage of acid beta-galactosidase-positive cells was 0.63 for normal fibroblasts and 0.72 for the +21 fibroblasts. Thus, MX1 expression was correlated to cell senescence in both types of fibroblasts, albeit with a stronger positive correlation in +21 compared to control, and with a substantially greater magnitude of the increased expression in the +21 cells. In addition, western blotting of total cellular protein indicated that the excess of MX1 mRNA in these cells led to the expected excess production of p78MX1 protein, and we observed a good correlation between MX1 mRNA and p78MX1 protein (Fig. 3a).
The MX1 gene is a well known target of type-I interferon signaling, as is MX2 [16, 17]. While the increase in MX1 mRNA was the most dramatic effect seen during +21 fibroblast senescence, re-probing of the northern blots with an additional interferon-inducible gene, IFI27, revealed a weaker but parallel increase in mRNA expression (Fig. 2a). IFI27 showed a 9-fold mean increase in the late-passage +21 fibroblasts in our microarray data, but this gene was screened out by our data analysis protocol due to an insufficient number of Affymetrix presence calls (see Methods). Although IFI27 is not on chromosome 21, the receptors for interferon alpha and beta are encoded by genes on chromosome 21. While we did not detect increased mRNA for these genes in our survey, fibroblasts and other cells with +21 are known to express an increased density of cell surface interferon receptors at the protein level, and to be hyper-responsive to signaling by exogenous interferon [18–24]. Gene-gene interaction, namely the presence of an extra gene copy of both an upstream and a downstream component of the interferon-signaling pathway, is a likely explanation for the non-linear over-expression of MX1 mRNA and protein in +21 cells. Indeed, in early work the protein product of the MX1 gene, p78MX1, was found over-expressed in two lines of +21 fibroblasts, compared to control fibroblasts, after these cells were exposed to exogenous interferon [25, 26]. Our current data add to this information by showing strong constitutive over-expression of MX1 in senescing +21 fibroblasts, and we therefore wished to test whether this increased expression might be maintained by autocrine interferon signaling. Consistent with this hypothesis, conditioned medium from +21 fibroblast cultures induced the expression of MX1 mRNA in control fibroblasts, and this induction was attenuated by the addition of anti-interferon-beta antibodies to the cell cultures (Fig. 3b).
Induction of p78MX1in lesional tissue of alopecia areata
A previous genetic association study linked intronic polymorphisms in the MX1 gene to the inflammatory hair loss disorder alopecia areata . This condition has long been recognized to have an increased (up to 90-fold) prevalence in DS [28–31]. We therefore used immunohistochemistry to assess the expression of p78MX1 in scalp biopsies. In control scalp biopsies, p78MX1 expression was restricted to the capillary endothelial cells (data not shown). In both of two cases of sporadic alopecia areata that we examined there was high expression both in endothelial cells and in a subset of the infiltrating lymphocytes and in epithelial cells (outer root sheath cells and matrix cells) of the inflamed hair follicles, with no immunoreactivity in the adjacent uninvolved hair follicles (Fig. 4a–c and data not shown). We did not have access to alopecia areata biopsies from DS, but examining such cases will be desirable in future studies.
The GART gene is non-linearly over-expressed in +21 mid-gestation fetal hearts
A similar supervised analysis of microarray data from 5 fetal hearts with +21 compared to 8 control fetal hearts matched for gestational age (mean G.A. in +21 cases = 16.8 weeks; mean G.A. in controls = 18.5 weeks, t-test p = .2) also revealed a systematic over-expression of chromosome 21-linked genes in the +21 cases. Using ANOVA at a cutoff of p < .01, among 37 genes in the 'high in +21' category, 7 (19%) mapped to chromosome 21; while no chromosome 21-linked genes were in the under-expressed category (Fig. 5 and Table 4). Similarly, the statistical analysis of the microarray data for these samples at p < .05 showed 17/110 (15%) of the over-expressed genes mapping to chromosome 21, a proportion much higher than the 1% expected from the overall gene representation on this small chromosome [see Additional file 4]. The chromosome 21 gene with the strongest over-expression in this dataset was GART, encoding a metabolic enzyme with three catalytic activities (phosphoribosylglycinamide formyltransferase, phosphoribosylglycinamide synthetase, phosphoribosylaminoimidazole synthetase), which acts at several steps of purine biosynthesis . In addition, several other chromosome 21 genes, including SH3BGR, encoding a coiled-coil and SH3 domain-containing protein, were modestly over-expressed on average in the +21 hearts (Table 4 and [see Additional file 4]). GART mRNA, while not an abundant transcript, is detectable by northern blotting with prolonged exposures, and we were able to verify the strong (non-linear) over-expression of this gene, and the modest over-expression of SH3BGR mRNA, by northern blotting and Phosphorimaging in 3 of the hearts with +21 for which ample RNA remained after the GeneChip experiment, compared to 4 control hearts closely matched for gestational age (Fig. 6a). This result was further confirmed by real-time RT-PCR comparing GART mRNA expression (normalized to mRNA from the HPRT housekeeping gene) in 4 of the +21 fetal hearts compared to 6 of the control fetal hearts from our GeneChip series (Fig. 6b).
As seen by comparing Tables 2, 3, 4 and the supplemental tables [see Additional file 1], [see Additional file 2], [see Additional file 4], the genes differentially expressed as a function of +21 in the fetal hearts did not overlap substantially with the genes that were differentially expressed in the early- or late-passage fibroblasts. The two exceptions were SH3BGR, which was modestly (i.e. linearly) over-expressed in the hearts and early passage fibroblasts with +21, and MX2, which was modestly over-expressed in both the hearts and the late passage fibroblasts. The limited overlaps between the gene lists from the supplemental tables are highlighted by the Venn diagram in Figure 7. Among the few genes that appear in the regions of overlap in this diagram, a strikingly large proportion map to chromosome 21.
A number of screens for altered gene expression in DS cells and tissues, and in the segmental trisomy 16 mouse models of DS, have been published over the past several years. Analysis of mRNAs in brain is clearly of major interest, but several prominent aspects of the DS phenotype involve non-CNS tissues. Our analysis of gene expression in fibroblasts and fetal hearts with trisomy 21 leads us to a series of conclusions. First, the extra chromosome 21 does not cause widespread strong dysregulation of gene expression. Second, genes on chromosome 21 are in fact disproportionately over-expressed in the +21 cells compared with genes on other chromosomes. So while regulatory feedback mechanisms are likely to exist, the data make it clear that fibroblasts and fetal heart cells do not completely compensate for this chromosomal aneuploidy. A similar conclusion has been reached by other groups studying the segmental trisomy 16 mouse [6, 7, 33]. Third, small subsets of genes on other chromosomes are either over- or under-expressed in the setting of +21. We have focused here on the over-expressed genes, but genes that are down-modulated may also be biologically relevant, and these genes are listed in the supplemental tables [see Additional file 1], [see Additional file 2], [see Additional file 4]. Fourth, the sets of genes differentially expressed as a function of the trisomy differ in different cell types. We found that the interferon-inducible MX1 gene is strongly (non-linearly) over-expressed in senescing +21 fibroblasts, and that the GART gene, encoding a multifunctional enzyme in de novo purine biosynthesis, is non-linearly over-expressed in mid-gestation fetal hearts with +21. For MX1, non-linear over-expression can be explained at least in part by the existence of more than one interferon pathway component encoded on chromosome 21. We have also shown evidence for induction of the MX1 gene product, p78MX1, in lesional hair follicle tissue of a sporadic case of alopecia areata, an autoimmune disorder that has an elevated frequency in DS. In terms of these genes in the prior literature, Gart was found slightly up-regulated in heart, kidney, and muscle of segmental trisomy 16 mice at day 30 by 1.54, 1.68, and 1.83, respectively [8, 11], and in the expression profiling studies by Kahlem et al. and Lyle et al., the murine Mx1 and Mx2 genes appeared among the limited set of chromosome 16-linked genes (13 genes) found to have >2-fold over-expression in several adult tissues at postnatal day 10 and at 11 months in the segmental trisomy 16 mice [8, 11].
MX1 encodes a large GTPase that forms organized multimeric structures in the cytoplasm. This protein is a well known interferon target gene, and studies both in cell culture and in vivo have documented that it is an essential component of the antiviral response. How this antiviral activity is exerted is not yet clear, and it appears that multiple steps in the viral life cycle are inhibited by p78MX1 . But p78MX1 may also function outside of anti-viral defense. A link between MX1 and sporadic alopecia areata has been raised by a reasonably large genetic association study, including 165 alopecia areata cases and 510 controls, which showed that the +9959 intronic polymorphism conveyed a 1.79-fold increase in risk . Since alopecia areata is about 90 times more frequent in DS than in the general population, our findings that MX1 is non-linearly over-expressed in +21 cells, and that this gene is activated in inflamed hair follicles in alopecia areata, add credence to MX1 as an alopecia areata susceptibility locus. Clinical studies using high-dose interferons to treat hepatitis and other conditions have reported alopecia as a common side effect, so intense and prolonged interferon signaling is clearly sufficient to produce alopecia [35–40]. Additional work will be needed to determine whether p78MX1 is playing an effector role in the arrest of the hair cycle in alopecia areata.
Our observation that MX1 mRNA is modestly upregulated in normal fibroblasts during senescence is consistent with a report by Yoon et al., who used a cDNA microarray to screen for genes upregulated during replicative senescence, in a panel of 3 normal human fibroblast lines . Based on our finding that MX1 mRNA and p78MX1 protein are much more strongly induced as +21 fibroblasts enter replicative senescence, it will be interesting to study the role of this gene, and of the interferon pathway more generally, in the process of premature aging and cell senescence. Various aspects of premature aging have been studied as phenotypes in DS [42, 43], and premature skin wrinkling is accepted as a genuine component of this syndrome . However, whether +21 dermal fibroblasts really show reduced replicative potential has been controversial, and it has been easier to document deficiencies in DNA repair than in replicative lifespan in +21 compared to control fibroblast lines [45, 46]. Relevant to this topic, it has been reported that epigenetic silencing of multiple interferon-response genes, including MX1, occurs with cellular immortalization in tissue culture , suggesting that there is in fact a strong selective pressure to lose this pathway in order for the cells to escape senescence.
Cardiac defects, notably atrioventricular defects due to anomalous development of structures derived from the endocardial cushions, are a major adverse consequence of +21 [48–51], but the basis for abnormal heart development in this condition has remained unclear. Molecular candidates include proteins expressed in cardiac development that are encoded by chromosome 21 genes, such as the adhesion protein gene DSCAM, collagen VI (COL6AI and COL6A2 genes), the calcineurin pathway modulator DSCR1, the SH3BGR gene, and others [52–61]. Of these genes, SH3BGR was over-expressed on average in the +21 fetal hearts in our series, while DSCAM and the collagen VI genes were not (DSCR1 was modestly over-expressed, [see Additional file 4]). These negative findings do not exclude these genes as important loci: for example, we sampled large pieces of heart tissue, but COL6AI mRNA is known to be abundant only in the normal endocardium and endocardial cushions [57, 60, 62] and its over-expression in +21 fetal hearts might only be evident after tissue microdissection. In fact, while this paper was under review, Mao et al. reported COL6A1 mRNA elevated 1.4-fold in comparing 3 fetal hearts with +21 to 3 control fetal hearts, all dissected to enrich for the area of the atrio-ventricular valves and septum, using a microarray method similar to ours . It can also be argued that minimal over-expression over an extended time in development, or strong over-expression in a narrow time window, could have significant biological effects. Nonetheless, our positive data highlight another gene, GART, which might contribute via its strong over-expression to cardiac defects in DS. Purine biosynthesis can affect intracellular nucleotide pools as well as purinergic signaling between cells and it will be interesting to explore the functional role of GART in heart development. Why this gene should be non-linearly over-expressed is not yet clear, but a previous study using western blotting documented the relative over-expression of the GARS-AIRS-GART protein in post-natal cerebellum in human DS and, interestingly, found that this over-expression was due to the failure of a normal program of GART silencing during cerebellar maturation . Examination of additional cases over a wider range of gestational age will be needed to ask whether the over-expression of GART in +21 fetal hearts also reflects aberrant developmental regulation.
Gene expression measurements are only circumstantial evidence, and transgenic experiments in mice [53, 55], including the recently reported whole human chromosome 21 transfer model , will be necessary to sort through each of these candidate genes for their functional relevance. Cardiac defects associated with +21 have been reported in mice engineered to carry human chromosome 21 [65–67], and this system may prove useful for further dissecting the genetics. The other important approach, genetic mapping using partial trisomies in humans, has led to evidence that the DSCAM gene may be in a critical region for Tetralogy of Fallot [52, 54]. GART (34 Mb on the physical map) is located substantially centromeric to DSCAM (41 Mb), outside this region.
From a more general viewpoint, our data and those from other laboratories cited above clearly show that human and mouse cells and tissues do not effectively compensate for simple chromosomal aneuploidies, and that this lack of compensation manifests as abnormal steady-state mRNA levels from different sets of genes in different cell types and tissues. For some genes the perturbations in mRNA expression resulting from these simple chromosome gains are non-linear, and it may be a general principle that this phenomenon can be explained by gene-gene interactions, as exemplified here by MX1 and other genes in the interferon pathway.
Our results indicate over-expression of chromosome 21 genes in human cells and tissues with +21, and highlight different subsets of chromosome 21 genes as selectively over-expressed in different cell types. Our data further indicate that for some chromosome 21 genes this over-expression is non-linear (>1.5X). Based on the observed non-linear over-expression of MX1 mRNA and p78MX1 protein in senescent fibroblasts with +21, and the over-expression of p78MX1 in inflamed hair follicles of alopecia areata, hyperactive interferon signaling is a candidate pathway for cell senescence and autoimmune disorders in DS. Additionally, the strong over-expression of the GART gene that we observe in fetal hearts with +21 suggests that abnormal purine metabolism should be investigated for a potential role in the cardiac defects associated with DS.
- DS :
- +21 :
Shapiro BL: The Down syndrome critical region. J Neural Transm Suppl. 1999, 57: 41-60.
Delabar JM, Theophile D, Rahmani Z, Chettouh Z, Blouin JL, Prieur M, Noel B, Sinet PM: Molecular mapping of twenty-four features of Down syndrome on chromosome 21. Eur J Hum Genet. 1993, 1 (2): 114-124.
Korenberg JR, Chen XN, Schipper R, Sun Z, Gonsky R, Gerwehr S, Carpenter N, Daumer C, Dignan P, Disteche C, et al: Down syndrome phenotypes: the consequences of chromosomal imbalance. Proc Natl Acad Sci USA. 1994, 91 (11): 4997-5001.
Engidawork E, Lubec G: Protein expression in Down syndrome brain. Amino Acids. 2001, 21 (4): 331-361. 10.1007/s007260170001.
Chung IH, Lee SH, Lee KW, Park SH, Cha KY, Kim NS, Yoo HS, Kim YS, Lee S: Gene expression analysis of cultured amniotic fluid cell with down syndrome by DNA microarray. J Korean Med Sci. 2005, 20 (1): 82-87.
Dauphinot L, Lyle R, Rivals I, Dang MT, Moldrich RX, Golfier G, Ettwiller L, Toyama K, Rossier J, Personnaz L, Antonarakis SE, Epstein CJ, Sinet PM, Potier MC: The cerebellar transcriptome during postnatal development of the Ts1Cje mouse, a segmental trisomy model for Down syndrome. Hum Mol Genet. 2005, 14 (3): 373-384. 10.1093/hmg/ddi033.
Amano K, Sago H, Uchikawa C, Suzuki T, Kotliarova SE, Nukina N, Epstein CJ, Yamakawa K: Dosage-dependent over-expression of genes in the trisomic region of Ts1Cje mouse model for Down syndrome. Hum Mol Genet. 2004, 13 (13): 1333-1340. 10.1093/hmg/ddh154.
Kahlem P, Sultan M, Herwig R, Steinfath M, Balzereit D, Eppens B, Saran NG, Pletcher MT, South ST, Stetten G, Lehrach H, Reeves RH, Yaspo ML: Transcript level alterations reflect gene dosage effects across multiple tissues in a mouse model of down syndrome. Genome Res. 2004, 14 (7): 1258-1267. 10.1101/gr.1951304.
FitzPatrick DR, Ramsay J, McGill NI, Shade M, Carothers AD, Hastie ND: Transcriptome analysis of human autosomal trisomy. Hum Mol Genet. 2002, 11 (26): 3249-3256. 10.1093/hmg/11.26.3249.
Mao R, Zielke CL, Zielke HR, Pevsner J: Global up-regulation of chromosome 21 gene expression in the developing Down syndrome brain. Genomics. 2003, 81 (5): 457-467. 10.1016/S0888-7543(03)00035-1.
Lyle R, Gehrig C, Neergaard-Henrichsen C, Deutsch S, Antonarakis SE: Gene expression from the aneuploid chromosome in a trisomy mouse model of down syndrome. Genome Res. 2004, 14 (7): 1268-1274. 10.1101/gr.2090904.
Guimera J, Casas C, Estivill X, Pritchard M: Human minibrain homologue (MNBH/DYRK1): characterization, alternative splicing, differential tissue expression, and overexpression in Down syndrome. Genomics. 1999, 57 (3): 407-418. 10.1006/geno.1999.5775.
Gardiner K: Gene-dosage effects in Down syndrome and trisomic mouse models. Genome Biol. 2004, 5 (10): 244-10.1186/gb-2004-5-10-244.
Li CM, Guo M, Borczuk A, Powell CA, Wei M, Thaker HM, Friedman R, Klein U, Tycko B: Gene expression in Wilms' tumor mimics the earliest committed stage in the metanephric mesenchymal-epithelial transition. Am J Pathol. 2002, 160 (6): 2181-2190.
Li CM, Kim CE, Margolin AA, Guo M, Zhu J, Mason JM, Hensle TW, Murty VV, Grundy PE, Fearon ER, D'Agati V, Licht JD, Tycko B: CTNNB1 mutations and overexpression of Wnt/beta-catenin target genes in WT1-mutant Wilms' tumors. Am J Pathol. 2004, 165 (6): 1943-1953.
Aebi M, Fah J, Hurt N, Samuel CE, Thomis D, Bazzigher L, Pavlovic J, Haller O, Staeheli P: cDNA structures and regulation of two interferon-induced human Mx proteins. Mol Cell Biol. 1989, 9 (11): 5062-5072.
Horisberger MA: Interferons, Mx genes, and resistance to influenza virus. Am J Respir Crit Care Med. 1995, 152 (4 Pt 2): S67-71.
Gerdes AM, Horder M, Bonnevie-Nielsen V: Gene dosage and down-regulation of the alpha-interferon receptor. Scand J Clin Lab Invest. 1992, 52 (3): 189-192.
Epstein LB, Lee SH, Epstein CJ: Enhanced sensitivity of trisomy 21 monocytes to the maturation-inhibiting effect ot interferon. Cell Immunol. 1980, 50 (1): 191-194. 10.1016/0008-8749(80)90017-9.
Cox DR, Epstein LB, Epstein CJ: Genes coding for sensitivity to interferon (IfRec) and soluble superoxide dismutase (SOD-1) are linked in mouse and man and map to mouse chromosome 16. Proc Natl Acad Sci USA. 1980, 77 (4): 2168-2172.
Epstein LB, Epstein CJ: T-lymphocyte function and sensitivity to interferon in trisomy 21. Cell Immunol. 1980, 51 (2): 303-318. 10.1016/0008-8749(80)90262-2.
Epstein CJ, Epstein LB, Cox DR, Weil J: Functional implications of gene dosage effects in trisomy 21. Hum Genet Suppl. 1981, 2: 155-172.
Epstein CJ, McManus NH, Epstein LB, Branca AA, D'Alessandro SB, Baglioni C: Direct evidence that the gene product of the human chromosome 21 locus, IFRC, is the interferon-alpha receptor. Biochem Biophys Res Commun. 1982, 107 (3): 1060-1066. 10.1016/0006-291X(82)90629-5.
Tan YH, Schneider EL, Tischfield J, Epstein CJ, Ruddle FH: Human chromosome 21 dosage: effect on the expression of the interferon induced antiviral state. Science. 1974, 186 (4158): 61-63.
Weil J, Tucker G, Epstein LB, Epstein CJ: Interferon induction of (2'-5') oligoisoadenylate synthetase in diploid and trisomy 21 human fibroblasts: relation to dosage of the interferon receptor gene (IRFC). Hum Genet. 1983, 65 (2): 108-111. 10.1007/BF00286644.
Epstein CJ, Weil J, Epstein LB: Abnormalities in the interferon response and immune systems in Down syndrome: studies in human trisomy 21 and mouse trisomy 16. Prog Clin Biol Res. 1987, 246: 191-208.
Tazi-Ahnini R, di Giovine FS, McDonagh AJ, Messenger AG, Amadou C, Cox A, Duff GW, Cork MJ: Structure and polymorphism of the human gene for the interferon-induced p78 protein (MX1): evidence of association with alopecia areata in the Down syndrome region. Hum Genet. 2000, 106 (6): 639-645. 10.1007/s004390050037.
Du Vivier A, Munro DD: Alopecia areata and mongolism. Proc R Soc Med. 1974, 67 (7): 596-597.
Carter DM, Jegasothy BV: Alopecia areata and Down syndrome. Arch Dermatol. 1976, 112 (10): 1397-1399. 10.1001/archderm.112.10.1397.
Schepis C, Barone C, Siragusa M, Pettinato R, Romano C: An updated survey on skin conditions in Down syndrome. Dermatology. 2002, 205 (3): 234-238. 10.1159/000065859.
Dourmishev A, Miteva L, Mitev V, Pramatarov K, Schwartz RA: Cutaneous aspects of Down syndrome. Cutis. 2000, 66 (6): 420-424.
Aimi J, Qiu H, Williams J, Zalkin H, Dixon JE: De novo purine nucleotide biosynthesis: cloning of human and avian cDNAs encoding the trifunctional glycinamide ribonucleotide synthetase-aminoimidazole ribonucleotide synthetase-glycinamide ribonucleotide transformylase by functional complementation in E. coli. Nucleic Acids Res. 1990, 18 (22): 6665-6672.
Chrast R, Scott HS, Papasavvas MP, Rossier C, Antonarakis ES, Barras C, Davisson MT, Schmidt C, Estivill X, Dierssen M, Pritchard M, Antonarakis SE: The mouse brain transcriptome by SAGE: differences in gene expression between P30 brains of the partial trisomy 16 mouse model of Down syndrome (Ts65Dn) and normals. Genome Res. 2000, 10 (12): 2006-2021. 10.1101/gr.10.12.2006.
Haller O, Kochs G: Interferon-induced mx proteins: dynamin-like GTPases with antiviral activity. Traffic. 2002, 3 (10): 710-717. 10.1034/j.1600-0854.2002.31003.x.
Gilhar A, Kam Y, Assy B, Kalish RS: Alopecia areata induced in C3H/HeJ mice by interferon-gamma: evidence for loss of immune privilege. J Invest Dermatol. 2005, 124 (1): 288-289. 10.1111/j.0022-202X.2004.23580.x.
Kalish RS, Gilhar A: Alopecia areata: autoimmunity – the evidence is compelling. J Investig Dermatol Symp Proc. 2003, 8 (2): 164-167. 10.1046/j.1087-0024.2003.00802.x.
Agesta N, Zabala R, Diaz-Perez JL: Alopecia areata during interferon alpha-2b/ribavirin therapy. Dermatology. 2002, 205 (3): 300-301. 10.1159/000065841.
Stafford-Fox V, Guindon KM: Cutaneous reactions associated with alpha interferon therapy. Clin J Oncol Nurs. 2000, 4 (4): 164-168.
Kernland KH, Hunziker T: Alopecia areata induced by interferon alpha?. Dermatology. 1999, 198 (4): 418-419.
Lang AM, Norland AM, Schuneman RL, Tope WD: Localized interferon alfa-2b-induced alopecia. Arch Dermatol. 1999, 135 (9): 1126-1128. 10.1001/archderm.135.9.1126.
Yoon IK, Kim HK, Kim YK, Song IH, Kim W, Kim S, Baek SH, Kim JH, Kim JR: Exploration of replicative senescence-associated genes in human dermal fibroblasts by cDNA microarray technology. Exp Gerontol. 2004, 39 (9): 1369-1378. 10.1016/j.exger.2004.07.002.
Devenny DA, Wegiel J, Schupf N, Jenkins E, Zigman W, Krinsky-McHale SJ, Silverman WP: Dementia of the Alzheimer's type and accelerated aging in down syndrome. Sci Aging Knowledge Environ. 2005, 2005 (14): dn1-10.1126/sageke.2005.14.dn1.
Schupf N, Zigman W, Kapell D, Lee JH, Kline J, Levin B: Early menopause in women with Down's syndrome. J Intellect Disabil Res. 1997, 41 (Pt 3): 264-267. 10.1046/j.1365-2788.1997.03838.x.
Brugge KL, Grove GL, Clopton P, Grove MJ, Piacquadio DJ: Evidence for accelerated skin wrinkling among developmentally delayed individuals with Down's syndrome. Mech Ageing Dev. 1993, 70 (3): 213-225. 10.1016/0047-6374(93)90049-W.
Carmeliet G, David G, Cassiman JJ: Cellular ageing of Alzheimer's disease and Down syndrome cells in culture. Mutat Res. 1991, 256 (2–6): 221-231.
Weirich-Schwaiger H, Weirich HG, Gruber B, Schweiger M, Hirsch-Kauffmann M: Correlation between senescence and DNA repair in cells from young and old individuals and in premature aging syndromes. Mutat Res. 1994, 316 (1): 37-48.
Kulaeva OI, Draghici S, Tang L, Kraniak JM, Land SJ, Tainsky MA: Epigenetic silencing of multiple interferon pathway genes after cellular immortalization. Oncogene. 2003, 22 (26): 4118-4127. 10.1038/sj.onc.1206594.
Richmond S, Wren C: Early diagnosis of congenital heart disease. Semin Neonatol. 2001, 6 (1): 27-35. 10.1053/siny.2000.0028.
Parvathy U, Balakrishnan KR, Ranjith MS, Saldanha R, Sai S, Vakamudi M: Surgical experience with congenital heart disease in Down's syndrome. Indian Heart J. 2000, 52 (4): 438-441.
Delisle MF, Sandor GG, Tessier F, Farquharson DF: Outcome of fetuses diagnosed with atrioventricular septal defect. Obstet Gynecol. 1999, 94 (5 Pt 1): 763-767. 10.1016/S0029-7844(99)00389-0.
Malec E, Mroczek T, Pajak J, Januszewska K, Zdebska E: Results of surgical treatment of congenital heart defects in children with Down's syndrome. Pediatr Cardiol. 1999, 20 (5): 351-354. 10.1007/s002469900483.
Barlow GM, Chen XN, Shi ZY, Lyons GE, Kurnit DM, Celle L, Spinner NB, Zackai E, Pettenati MJ, Van Riper AJ, Vekemans MJ, Mjaatvedt CH, Korenberg JR: Down syndrome congenital heart disease: a narrowed region and a candidate gene. Genet Med. 2001, 3 (2): 91-101.
Lange AW, Rothermel BA, Yutzey KE: Restoration of DSCR1 to disomy in the trisomy 16 mouse model of Down syndrome does not correct cardiac or craniofacial development anomalies. Dev Dyn. 2005, 233 (3): 954-963. 10.1002/dvdy.20433.
Kosaki R, Kosaki K, Matsushima K, Mitsui N, Matsumoto N, Ohashi H: Refining chromosomal region critical for Down syndrome-related heart defects with a case of cryptic 21q22.2 duplication. Congenit Anom (Kyoto). 2005, 45 (2): 62-64.
Sandri C, Di Lisi R, Picard A, Argentini C, Calabria E, Myklak K, Scartezzini P, Schiaffino S: Heart morphogenesis is not affected by overexpression of the Sh3bgr gene mapping to the Down syndrome heart critical region. Hum Genet. 2004, 114 (5): 517-519. 10.1007/s00439-004-1088-8.
Lange AW, Molkentin JD, Yutzey KE: DSCR1 gene expression is dependent on NFATc1 during cardiac valve formation and colocalizes with anomalous organ development in trisomy 16 mice. Dev Biol. 2004, 266 (2): 346-360. 10.1016/j.ydbio.2003.10.036.
Gittenberger-de Groot AC, Bartram U, Oosthoek PW, Bartelings MM, Hogers B, Poelmann RE, Jongewaard IN, Klewer SE: Collagen type VI expression during cardiac development and in human fetuses with trisomy 21. Anat Rec A Discov Mol Cell Evol Biol. 2003, 275 (2): 1109-1116. 10.1002/ar.a.10126.
Casas C, Martinez S, Pritchard MA, Fuentes JJ, Nadal M, Guimera J, Arbones M, Florez J, Soriano E, Estivill X, Alcantara S: Dscr1, a novel endogenous inhibitor of calcineurin signaling, is expressed in the primitive ventricle of the heart and during neurogenesis. Mech Dev. 2001, 101 (1–2): 289-292. 10.1016/S0925-4773(00)00583-9.
Fuentes JJ, Genesca L, Kingsbury TJ, Cunningham KW, Perez-Riba M, Estivill X, de la Luna S: DSCR1, overexpressed in Down syndrome, is an inhibitor of calcineurin-mediated signaling pathways. Hum Mol Genet. 2000, 9 (11): 1681-1690. 10.1093/hmg/9.11.1681.
Klewer SE, Krob SL, Kolker SJ, Kitten GT: Expression of type VI collagen in the developing mouse heart. Dev Dyn. 1998, 211 (3): 248-255. 10.1002/(SICI)1097-0177(199803)211:3<248::AID-AJA6>3.0.CO;2-H.
Davies GE, Howard CM, Farrer MJ, Coleman MM, Bennett LB, Cullen LM, Wyse RK, Burn J, Williamson R, Kessling AM: Genetic variation in the COL6A1 region is associated with congenital heart defects in trisomy 21 (Down's syndrome). Ann Hum Genet. 1995, 59 (Pt 3): 253-269.
van den Hoff MJ, Moorman AF, Ruijter JM, Lamers WH, Bennington RW, Markwald RR, Wessels A: Myocardialization of the cardiac outflow tract. Dev Biol. 1999, 212 (2): 477-490. 10.1006/dbio.1999.9366.
Mao R, Wang X, Spitznagel EL, Frelin LP, Ting JC, Ding H, Kim JW, Ruczinski I, Downey TJ, Pevsner J: Primary and secondary transcriptional effects in the developing human Down syndrome brain and heart. Genome Biol. 2005, 6 (13): R107-10.1186/gb-2005-6-13-r107.
Brodsky G, Barnes T, Bleskan J, Becker L, Cox M, Patterson D: The human GARS-AIRS-GART gene encodes two proteins which are differentially expressed during human brain development and temporally overexpressed in cerebellum of individuals with Down syndrome. Hum Mol Genet. 1997, 6 (12): 2043-2050. 10.1093/hmg/6.12.2043.
O'Doherty A, Ruf S, Mulligan C, Hildreth V, Errington ML, Cooke S, Sesay A, Modino S, Vanes L, Hernandez D, Linehan JM, Sharpe PT, Brandner S, Bliss TV, Henderson DJ, Nizetic D, Tybulewicz VL, Fisher EM: An aneuploid mouse strain carrying human chromosome 21 with Down syndrome phenotypes. Science. 2005, 309 (5743): 2033-2037. 10.1126/science.1114535.
Kazuki Y, Kimura M, Nishigaki R, Kai Y, Abe S, Okita C, Shirayoshi Y, Schulz TC, Tomizuka K, Hanaoka K, Inoue T, Oshimura M: Human chromosome 21q22.2-qter carries a gene(s) responsible for downregulation of mlc2a and PEBP in Down syndrome model mice. Biochem Biophys Res Commun. 2004, 317 (2): 491-499. 10.1016/j.bbrc.2004.03.069.
Nishigaki R, Shinohara T, Toda T, Omori A, Ichinose S, Itoh M, Shirayoshi Y, Kurimasa A, Oshimura M: An extra human chromosome 21 reduces mlc-2a expression in chimeric mice and Down syndrome. Biochem Biophys Res Commun. 2002, 295 (1): 112-118. 10.1016/S0006-291X(02)00640-X.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/7/24/prepub
We thank Otto Haller for anti-p78MX1 antibody and Giorgio Cattoretti for advice on immunohistochemistry. This research was supported, in part, by funds provided by New York State through its Office of Mental Retardation and Developmental Disabilities, the National Institute of Child Health and Human Development and the National Down Syndrome Society Grant HD37425, NIH Grant P01 HD35897 and Grant BC030061 from the D.O.D. Breast Cancer Program.
The author(s) declare that they have no competing interests.
Chi-Ming Li carried out the experiments shown in all of the figures. Meirong Guo participated in carrying out the experiments in figures 1, 2, 3. Martha Salas participated in carrying out the experiments in Figures 4, 5, 6. Nicole Schupf, Wayne Silverman and Warren Zigman participated in the statistical analyses and in writing the manuscript, as well as in obtaining grant funding. Sameera Husain made the histopathological diagnosis in the cases of alopecia areata. Dorothy Warburton directs the cytogenetics laboratory and participated in writing the manuscript. Harshwardhan Thaker directs the Tissue Bank and participated in writing the manuscript. Benjamin Tycko directed the experimental design of this study and participated in the statistical analyses, writing the manuscript and obtaining grant funding. All authors approved and read the final manuscript.
Electronic supplementary material
Additional File 3: Genes over- or under-expressed in late passage compared to early passage fibroblasts, independently of +21 (2-way ANOVA, p < .001.). (PDF 18 KB)
Authors’ original submitted files for images
Below are the links to the authors’ original submitted files for images.
About this article
Cite this article
Li, CM., Guo, M., Salas, M. et al. Cell type-specific over-expression of chromosome 21 genes in fibroblasts and fetal hearts with trisomy 21. BMC Med Genet 7, 24 (2006). https://doi.org/10.1186/1471-2350-7-24
- Down Syndrome
- Fetal Heart
- Alopecia Areata
- Chromosomal Aneuploidy
- Purine Biosynthesis