Skip to main content
Download PDF

ALK1 signalling analysis identifies angiogenesis related genes and reveals disparity between TGF-β and constitutively active receptor induced gene expression

BMC Cardiovascular Disorders volume 6, Article number: 13 (2006) Cite this article

Abstract

Background

TGF-β1 is an important angiogenic factor involved in the different aspects of angiogenesis and vessel maintenance. TGF-β signalling is mediated by the TβRII/ALK5 receptor complex activating the Smad2/Smad3 pathway. In endothelial cells TGF-β utilizes a second type I receptor, ALK1, activating the Smad1/Smad5 pathway. Consequently, a perturbance of ALK1, ALK5 or TβRII activity leads to vascular defects. Mutations in ALK1 cause the vascular disorder hereditary hemorrhagic telangiectasia (HHT).

Methods

The identification of ALK1 and not ALK5 regulated genes in endothelial cells, might help to better understand the development of HHT. Therefore, the human microvascular endothelial cell line HMEC-1 was infected with a recombinant constitutively active ALK1 adenovirus, and gene expression was studied by using gene arrays and quantitative real-time PCR analysis.

Results

After 24 hours, 34 genes were identified to be up-regulated by ALK1 signalling. Analysing ALK1 regulated gene expression after 4 hours revealed 13 genes to be up- and 2 to be down-regulated. Several of these genes, including IL-8, ET-1, ID1, HPTPη and TEAD4 are reported to be involved in angiogenesis. Evaluation of ALK1 regulated gene expression in different human endothelial cell types was not in complete agreement. Further on, disparity between constitutively active ALK1 and TGF-β1 induced gene expression in HMEC-1 cells and primary HUVECs was observed.

Conclusion

Gene array analysis identified 49 genes to be regulated by ALK1 signalling and at least 14 genes are reported to be involved in angiogenesis. There was substantial agreement between the gene array and quantitative real-time PCR data. The angiogenesis related genes might be potential HHT modifier genes. In addition, the results suggest endothelial cell type specific ALK1 and TGF-β signalling.

Peer Review reports

Background

Vascular development and homeostasis are regulated by a number of cytokines including members of the transforming growth factor-beta (TGF-β) superfamily that resemble a group of structurally related secreted polypeptides that regulate numerous cellular activities including proliferation, differentiation, migration, extracellular matrix deposition and apoptosis [1, 2]. This family consists of over 35 cytokines that include TGF-β1, -β2 and -β3, as well as activins, inhibins, nodals and the large group of bone morphogenetic proteins (BMPs). All have crucial roles in development and tissue homeostasis and their importance is further demonstrated by their involvement in different diseases [1, 3].

Signalling is mediated by a class of single transmembrane domain serine/threonine kinase receptors, types -I and -II, that initiate phosphorylation of co-transcription factors of the Smad protein family [2, 4]. There are five type II receptors and 7 type I receptors designated as activin receptor-like kinases (ALKs), ALK1-7. Ligand binding induces complex formation between type I and type II receptors, upon which the constitutively active kinase of the type II receptor phosphorylates the type I receptor in its so called 'GS' domain. Activated type I receptor in turn phosphorylates receptor-regulated Smads (R-Smads; Smad-1, -2, -3, -5 and -8), which bind to the Smad4 protein, translocate to the nucleus and regulate gene expression in concert with other transcription factors. A third class of Smads, the inhibitory Smads (I-Smads; Smad-6 and -7), oppose the signalling activity of R-Smads and Smad4 by different mechanisms. Each TGF-β family member binds to a characteristic set of type I and II receptors and based on this combination activates a specific R-Smad.

In angiogenesis the formation of new blood vessels by de-novo capillary development from pre-existing vascular endothelium, vessel assembly, maturation and remodelling is based on a finely balanced series of events in which TGF-β plays a pivotal role, both as a pro-angiogenic (activation phase) as well as an anti-angiogenic (resolution-maintenance phase) cytokine [5, 6]. This bi-phasic activity is dose-dependent [7, 8]. Many angiogenic disorders most likely result from an unbalanced activity or loss of different angiogenic factors. Hereditary hemorrhagic telangiectasia (HHT) is characterized by telangiectases and arteriovenous malformations (AVMs) typically found in the skin and mucocutaneous tissues [9–11]. Telangiectases and AVMs show abnormal connection between arteries and veins that is devoid of intervening capillaries and has a more vein-like phenotype [12]. Previous studies have shown that HHT is caused by mutations in either endoglin (CD105) or ALK1 [13, 14]. More recently, mutations in Smad4 were reported to cause a syndrome consisting of both juvenile polyposis and hereditary haemorrhagic telangiectasia phenotypes [15].

Endoglin binds TGF-β1 and -β3 isoforms that requires presence of the TGF-β type II receptor [16, 17]. ALK1, a type I receptor for TGF-β1 and -β3 [6, 18], activates the BMP signalling pathway by phosphorylating Smad1/5 [19, 20]. Both endoglin and ALK1 are predominantly expressed by endothelial cells. Studies with mice have shown that a homozygous knock-out of either endoglin or ALK1 is embryonically lethal due to vascular defects [21–25]. Heterozygous endoglin as well as ALK1 mice are viable, but a percentage of those develop a phenotype similar to that observed in HHT patients [25, 26].

Recent studies in endothelial cells have shown that TGF-β signals through ALK1, activating the Smad1/5 pathway, and through ALK5, activating the Smad2/3 pathway [6]. These two pathways have in a dose-dependent manner opposing effects on endothelial cell behaviour: ALK1 promotes cell proliferation and migration, whereas ALK5 inhibits both processes. Low TGF-β concentrations induce ALK1 signalling, which needs and is promoted by endoglin [27, 28] and in addition requires the presence of ALK5 [29]. In contrast, high TGF-β concentrations activate the ALK5 pathway.

The lethality of endoglin or ALK1 deletion in mice points to essential roles for both in normal and aberrant angiogenesis but their exact roles are still largely unknown. To understand the function of endoglin and ALK1 in these processes requires elucidation of their activities in cell adhesion, migration, and importantly gene regulation. Gene arrays can simultaneously examine many hundreds or thousands of genes but suffer from being only semi-quantitative. Also, many changes are difficult to decipher due to high background that makes interpretation uncertain. Quantitative real-time (qRT)-PCR sensitively detects quantitative changes in mRNA but cannot process similarly large numbers of genes

In order to identify target genes specific to ALK1 signalling, we over-expressed ALK1 in the human microvascular endothelial cell line HMEC-1 using recombinant adenovirus carrying a constitutively active form of ALK1, thus masking ALK5 responses. We then compared gene array hybridisation data representing 5,600 human full-length genes, with semi-quantitative and qRT-PCR analyses of transcripts identified as altered by the Affymetrix GeneChip™ arrays. We found 34 genes to be up-regulated by constitutively active ALK1 signalling after 24 hours and 15 genes being dys-regulated (13 up- and 2 down-regulated) after 4 hours. Consistent with the vascular disorder HHT, at least 14 of the ALK1 response genes are reported to be involved in angiogenesis, vascular disorders or the homeostasis of the vascular system. We found substantial agreement between the gene array and qRT-PCR data, but there were a number of disparate results regarding TGF-β induced signalling and constitutively active receptor signalling depending on the endothelial cell type.

Methods

Cell culture and growth factor

HMEC-1 cell line (derived from human dermal microvascular endothelial cells) [30] was cultured in MCDB-131 containing 15% human serum, penicillin (100 U/ml), and streptomycin (100 μg/ml). ECRF24 cell line (derived from human umbilical vein endothelial cells) [31] was cultured in equal volumes of M199 and RPMI 1640 medium containing 2 mM glutamine, penicillin (100 U/ml), streptomycin (100 μg/ml), G418 (100 μg/ml), and 20% human serum. Primary human umbilical cord vein endothelial cells (HUVECs) were cultured in M199 glutamax containing HEPES (16 mM), heparin (6.4 U/ml), gentamicin (80 μg/ml), PD-ECGF (20 μg/ml), 10% foetal calf serum (FCS) and 10% human serum. Cre8 cells and HEK 293A cells were cultured in Dulbecco's modified Eagle's medium with 10% FCS, penicillin (100 U/ml), and streptomycin (100 μg/ml). All cells were cultured at 37°C in a humidified atmosphere of air containing 5% CO2. Media, media supplements and FCS were obtained from PAA Laboratories (Germany) and Invitrogen (Germany). TGF-β1 and PD-ECGF were obtained from R&D Systems (Wiesbaden, Germany).

Recombinant adenovirus

The cDNA for constitutively active ALK1 (ALK1QD-HA, C-terminal HA tagged) was subcloned into the HindIII/BamHI sites of the Adlox vector, which possesses one loxP site, a left inverted terminal repeat followed by a packaging sequence (Ø), the human cytomegalovirus immediate-early promoter, a multiple cloning site, and a right inverted terminal repeat. The Adlox vector serves as the shuttle vector for generating recombinant adenovirus via the Cre-lox system [32]. Using CaPO4, Cre8 cells were co-transfected with the AdLox-ALK1QD plasmid DNA (2.1 μg) and DNA (2.1 μg) of the E1-deleted φ5 virus (adenovirus type 5 engineered with two lox-P sites flanking the packaging site), creating the AdALK1QD virus. For control infections virus containing no insert (AdCMV3) was created in addition to a virus expressing the bacterial β-galactosidase gene named AdLacZ. Following amplification of the recombinant virus in Cre8 cells, a large-scale virus preparation was made from infected HEK 293A cells. The cells were harvested 2 days after infection, sedimented (1000 × g, 10 min) and the cell pellet was resuspended in 10 ml of OPTI-MEM (Gibco-BRL), freeze-thawed three times, and resedimented. The resulting lysate (~10 ml) was loaded onto a two-step CsCl gradient (10 ml of CsCl at 1.4 g/cm3 overlaid with 10 ml of CsCl at 1.2 g/cm3, and the gradient was centrifuged (20,000 rpm, 2 hr, 15°C, SW28 rotor). Viral particles in the 1.3 g/cm3 region were harvested and the volume was brought to 21 ml with a solution of 1.3 g/cm3 CsCl. In a tube the viral solution was overlaid onto a cushion of 1.5 ml of 1.5 g/cm3 CsCl solution, and centrifuged (40,000 rpm, 12–16 hr, 15°C in an SW41 rotor). The resulting viral band (1.5–2.5 ml) was harvested and dialyzed at 4°C three times against 1 litre of buffer using a Slide-A-Lyzer (Pierce Chemical, Indianapolis, IN) and storage buffer (10 mM Tris-HCl, pH 7.4, 0.9% NaCl, 1 mM MgCl2, 1 mM CaCl2, with 10% glycerol in the last change) then aliquoted and stored at -80°C. Stock concentrations (viral particles [vp] per ml) were calculated from OD260 × dilution × 1.1 × 1012, with OD260/280 of 1.2–1.3.

Viral infection

In order to test whether HMEC-1 cells can be infected by adenovirus, cells were incubated with AdLacZ at different multiplicity of infection (MOIs). An MOI of 50 was established to be optimal for 100% infection efficiency demonstrated by X-Gal staining (data not shown). Further on, an MOI of 50 displayed no effect on cell growth or morphology when tested for AdLacZ, AdCMV3 and more important for AdALK1QD, whereas MOIs of >100 affected cellular growth and induced partial cell death for all three tested recombinant adenoviruses. Once optimal MOI was established endothelial cells were seeded into a 100 mm dish at a density of ~4 × 106 cells. The next day cells were infected with an MOI of ~50 with the indicated recombinant adenovirus. In brief, medium was aspirated and exchanged for medium with no serum containing the virus. After 30 min of incubation the medium was aspirated and exchanged for fresh medium containing serum. Cells were then further incubated for the indicated time.

RNA isolation and sample preparation for GeneChip™ hybridization

Total RNA from cells either infected with AdCMV3 or AdALK1QD was isolated with the RNeasy Mini Kit (Qiagen) according to the manufacturer's instruction. Hybridization targets were prepared from 10 μg of total RNA according to standard Affymetrix™ protocols (see Affymetrix™ webpage [33]). Briefly, first strand cDNA synthesis was generated using a T7-linked oligo-dT primer, followed by second strand synthesis. An in vitro transcription reaction was performed to generate cRNA containing biotinylated UTP and CTP, which subsequently was fragmented chemically at 95°C for 35 min. The fragmented, biotinylated cRNA was hybridized in MES buffer (2-[N-morpholino]ethansulfonic acid) containing 0.5 mg/ml acetylated bovine serum albumin to the Affymetrix Human 6800 GeneChip™ at 45°C for 16 hr, according to the Affymetrix protocol. Arrays were washed and stained with streptavidin-phycoerythrin (SAPE, Molecular Probes). Signal amplification was performed using a biotinylated anti-streptavidin antibody (Vector Laboratories, Burlingame, CA) at 3 μg/ml, followed by a second staining with SAPE. Normal goat IgG (2 mg/ml) was used as the blocking agent.

Measurement scans were performed using an Affymetrix GeneChip™ confocal scanner and the MAS 4.0 average differences were computed. Scaling factors were determined for each hybridization based on a target intensity of 500. Scaled average difference values were used in generating comparison analysis in the Affymetrix MAS 4.0 software. Briefly, in the Affymetrix MAS 4.0 comparison analysis, one array is designated as the baseline (reference sample) and the other as an experiment (test sample). The analysis compares the difference values (perfect match-mismatch) of each probe pair in the baseline array (mock infected cells) to its equivalent on the experiment array (AdALK1QD infected cells) and based on this a fold change was determined. Further explanation of the comparison analysis can be found at the Affymetrix™ webpage [33]. All GeneChip™ raw data generated from this study can be seen online [34] (24 hour experiments: 153_22hrCMV [reference sample] versus 154_22hrALK1 [test sample], 155_22hrCMV [reference sample] versus 156_22hrALK1 [test sample], 91_22hrCMV [reference sample] versus 92_22hrALK1 [test sample]; 4 hour experiments: 66_4hrCMV [reference sample] versus 63_4hrALK1 [test sample], 89_4hrCMV [reference sample] versus 90_4hrALK1 [test sample]).

RNA isolation and semi quantitative RT-PCR

Total RNA from AdCMV3, AdLacZ or AdALK1QD infected or non-infected cells and total RNA from TGF-β treated or non-treated cells was isolated with the RNeasy Mini Kit (Qiagen) according to the manufacturer's instruction. For further semi quantitative RT-PCR (sqRT-PCR) or qRT-PCR 2 μg of total RNA was reverse transcribed by random priming with hexamers and Oligo-dT primining (T18N) using the Omniscript RT Kit (Qiagen) according to the manufacturer's instruction. The resulted single strand cDNA was stored in a 50 μl volume at -20°C until use.

For sqRT-PCR 1 μl of the single strand cDNA was used in a 20 μl PCR reaction mixture containing 10 pmol of a gene specific primer pair (see Table 1), 1x PCR buffer (Invitrogen) containing 2.5 mM MgCl2, 200 μm dNTPs, 1 Unit Platinum Taq (Invitrogen). PCR conditions were as following: initial denaturing at 95°C for 5 min, 30 cycles of 30 sec denaturing at 95°C, 30 sec primer annealing at primer specific temperature, 30 sec elongation at 72°C. After 30 cycles final elongation step for 5 min. Equal amounts of PCR products were separated on 1.5 % agarose gels and visualized by ethidium bromide staining.

Table 1 Gene-specific oligonucleotides for sqRT-PCR. Primer sets were designed across exon-exon boundaries to avoid amplification of genomic DNA in the cDNA samples that might contain traces of genomic DNA. ALK1 Primers were also used for qRT-PCR analyses (own assay).
Full size table

Relative quantification of gene expression using the comparative method (ΔΔCT)

Quantitative real-time PCR (qRT-PCR) was used to measure gene expression levels in HMEC-1, HUVEC and ECRF24 cell lines under various conditions. For gene expression analysis, pre-designed gene-specific primer pairs were selected for 17 target genes and 1 endogenous control from a comprehensive catalogue of pre-designed assays named Assays-on-Demand™ (Applied Biosystems) (see Table 2). All assays were based on TaqMan hydrolysis probes labeled with FAM™ (green fluorescent fluorophore 6-carboxyfluorescein). Assays were performed on an ABI PRISM® 7900 HT Sequence Detection System (384-well block module). For the ALK1 construct a second assay utilising SYBR Green I® was used in conjunction with the primer pair designed for the sqRT-PCR detection of ectopic ALK1 expression along with a SYBR Green I® assay designed to GAPDH. The SYBR Green I® assays were performed on an ABI PRISM® 7700 Sequence Detection System (96-well block module).

Once RNA was extracted and reverse transcribed the cDNA was diluted 1 in 50 and assayed in 20 μl reaction volumes. For the assays on demand each reaction comprised of 5 μl cDNA, 10 μl 2x qPCR Master Mix with uracil-N-glycosylase (Eurogentec), 1 μl 20x Primer/Probe Assay mix (Applied Biosystems), the SYBR Green I® assays comprised of 5 μl cDNA, 10 μl 2x SYBR Green I® Master Mix (Applied Biosystems) and 10 pmol each primer. Samples were then amplified on an ABI PRISM® 7900 HT or 7700 using the following conditions; 50°C for 2 min, 95°C for 10 min followed by 40 cycles of 95°C for 15 sec and 60°C for 1 min. Samples were assayed in triplicate for each gene, and the mean expression was used during subsequent analysis. Analyses were done with the Applied Biosystems SDS 7900 or 7700 system software, version 2.2 or 1.2, respectively. Relative expression was calculated using the comparative ΔΔCT method (Bulletin #2, ABI, Foster City, USA). In brief, the comparative method of analysis compares the amounts of target gene expression relative to an endogenous control, such as GAPDH, within a sample to normalise the expression. Within a group of samples, one appropriate sample is elected as a reference sample. Each sample is then compared to the nominated reference sample to give the relative expression of the target gene compared to this reference sample (see Table 3).

Table 2 List of genes analysed by qRT-PCR and the corresponding pre-designed gene-specific primer pair assay (ABI Assay-on-Demand™, Applied Biosystems). Where possible RNA specific assays were selected which are depicted by _m1 suffix. For CHOP _g1 suffix signifies that the assay may detect DNA and for ID1 the _s1 suffix indicates both the primers and probe are in a single exon.
Full size table
Table 3 The selection of reference samples used for each of the comparative analyses for relative gene expression calculation based on qRT-PCR.
Full size table

Results

Gene expression in HMEC-1 cells 24 hours post AdALK1QDinfection

In order to evaluate gene expression specifically induced by ALK1, and not by ALK5, HMEC-1 cells, a human microvascular endothelial cell line [30], were infected with the recombinant adenovirus AdALK1QD expressing the constitutively active form of ALK1. HMEC-1 cells infected with the empty adenovirus vector AdCMV3 served as reference. 24 hours after infection total RNA was isolated and used for hybridization on an Affymetrix HuGeneFL GeneChip™ representing over 5,600 genes. This experiment was produced in triplicate, and only genes that showed at least a two-fold expression change were considered for further evaluation. 11 genes displayed more than a 2-fold increase in all three experiments. 22 genes showed increased expression in two out of three experiments. 15 genes were up-regulated by 2-fold or more in the first two replicate experiments, and 4 genes were up-regulated by ≥ 2-fold in replicate experiments 1 and 3. Three genes were up-regulated by ≥ 2-fold in replicate experiments 2 and 3. We tried to identify genes that were down-regulated by ALK1 signalling but there was no consistent expression pattern of down-regulated genes among the three experiments. Table 4 lists all the genes up-regulated by ≥ 2-fold in at least two out of three experiments. Genes are arranged according to groupings based on current known biological functions.

Table 4 Constitutively active ALK1 regulated gene expression in HMEC-1 cells after 24 hours. Gene expression profiling by Affymetrix GeneChip™ and qRT-PCR analysis for HMEC-1 cells (human microvascular endothelial cell line) infected with empty adenovirus (AdCMV3) or AdALK1QD. Listed are genes up-regulated in at least two out of three independent experiments. Cells were infected with an MOI of ~50. Gene expression was assesed after 24 hours. Gene expression profile of AdCMV3 infected cells served as reference. GeneChip™ raw data was analysed using Affymetrix MAS 4.0 comparison analysis. Listed are the mean results. Information about gene function was taken from NCBI Entrez Gene data base if not otherwise indicated. qRT-PCR based relative gene expression was calculated using the comparative ΔΔCT method. RQ represents the relative expression level (fold change) compared to the reference sample. RQMax/Min are the relative maximum/minimum expression levels of the mean expression level RQ.
Full size table

Highest induction in all three experiments was seen for a probe with no assigned GenBank number named by Affymetrix as oncogene TLS/CHOP suggesting that this probe represents a fusion gene. Other names for CHOP are DDIT3 or GADD153. sqRT-PCR revealed that GADD153 was the gene in question and not TLS (data not shown). Therefore, all further analyses were done for GADD153.

To validate the gene array results we performed qRT-PCR and sqRT-PCR for a subset of genes using the same RNA that was used for the GeneChip™ hybridizations. qRT-PCR was done for genes up-regulated in all three experiments as well as for BMP6 (increased expression only seen in experiment 1 and 2), ALK5, TβRII, endoglin and c-myc. Our gene array data did not suggest an influence of ALK1 on endoglin or c-myc expression but previous microarray data had shown that ALK1 signalling up-regulates endoglin in primary HUVECs [35] and down-regulates c-myc in primary dermal microvascular endothelial cells [36]. Because, TGF-β1 is known to induce its own receptors [37], ALK5 and TβRII expression was also examined by qRT-PCR. Also tested by sqRT-PCR was the chemokine MGSA/GROα that had shown increased expression only in two out of three experiments. qRT-PCR revealed that endoglin and BMP6 expression was increased by more than 2-fold in all three experiments (Table 4). Up-regulated expression in all three experiments was also seen for MGSA/GROα (data not shown). Expression values for ALK5, TβRII and c-myc were unchanged across methods.

The ectopic expression of ALK1 due to AdALK1QD infection was not detected by GeneChip™ hybridization in the first two experiments. The ABI qRT-PCR assay for ALK1 is designed against exon 1/exon 2 but the coding sequence for ALK1 starts in exon 2. Thus, the ABI assay Hs00163543_m1 will not detect ALK1 expression from the AdALK1QD construct, since this one contains only the ALK1 coding sequence. qRT-PCR assays with primers located in exon 7/exon 8 (own assay) revealed ALK1 expression in all three experiments with a mean expression level of RQ = 5079.92 (8659.09/2475.21/4105.47) confirming high levels of ectopic ALK1QD expression.

Gene expression in HMEC-1 cells 4 hours post AdALK1QDinfection

The previous experiments assayed ALK1 induced gene expression after 24 hours. In order to identify ALK1 early response genes, HMEC-1 cells were infected with AdALK1QD and RNA was isolated 4 hours post-infection. AdCMV3 infected HMEC-1 cells served as reference. The isolated RNA of two independent experiments was used for Affymetrix HuGeneFL GeneChip™ analysis as well as for qRT-PCR analysis for a selected set of genes (genes up-regulated after 24 hours in all three experiments). By qRT-PCR analysis AdALK1QD infected cells showed high ectopic ALK1 expression (own qRT-PCR assay) with a mean level of RQ = 157.795. Most of the genes identified to be up-regulated after 24 hours showed no significant changes over controls after 4 hours except for IL-8 (RQ = 0.595) and GADD153 (RQ = 0.69), which were consistently down-regulated. This time dependent response suggests that there is an early response component to ALK1 signalling for IL-8 and GADD153 but their subsequent up-regulation after 24 hours might be an indirect effect of prolonged ALK1 signalling.

Affymetrix HuGeneFL GeneChip™ analysis identified 13 genes to be up-regulated by more than 1.5-fold and 2 genes were down-regulated by more than 1.5-fold in both experiments (see Table 5). For the purpose of identifying early response genes the threshold for fold changes in gene expression was this time set to 1.5. ALK1 expression levels were measured to be 53.85 (experiment 1: 58.5; experiment 2: 49.2). Thus, both the GeneChip™ hybridization and qRT-PCR methods demonstrated high ectopic ALK1 QD expression levels already after 4 hours of viral infection. Of the genes up-regulated after 24 hours only two genes, SMAD7 and KPNA3, showed increased expression after 4 hours suggesting these genes were directly regulated by ALK1 signalling. The identified early response genes can be roughly divided into four functional groups: transcription factors (REST, TEAD4 and NFIB), vesicle transport/protein sorting (RAB6A, TM9SF2 and PICALM), targeted protein degradation (CUL4A, COPS6), and signalling (KPNA3, SMAD7, GNA13, NF2, PLCL1). LOC400986 and BCAT1 are classified as miscellanous due to the lack of clear functional data to our knowledge.

Table 5 Constitutively active ALK1 regulated gene expression in HMEC-1 cells after 4 hours. Gene expression profiling by Affymetrix GeneChip™ analysis for HMEC-1 cells (human microvascular endothelial cell line) infected with empty adenovirus (AdCMV3) or AdALK1QD. Cells were infected with an MOI of ~50. Gene expression was assessed after 4 hours. Gene expression profile of AdCMV3 infected cells served as reference. GeneChip™ raw data was analysed using Affymetrix MAS 4.0 comparison analysis. Listed are the mean results of two independent experiments. Information about gene function was taken from NCBI Entrez Gene data base if not otherwise indicated.
Full size table

Gene expression in AdALK1QDinfected ECRF24 cells and primary HUVECs

To determine if different endothelial cell types react differently to ALK1 signalling we compared AdALK1QD-infected ECRF24 and primary HUVEC cells versus HMEC-1 cells. We used cells infected with AdCMV3 or the same vector containing an irrelevant gene, LacZ (AdLacZ), as controls for bystander effects of viral infection. Non-infected ECRF24 cells and HUVECs served as reference.

Infection with recombinant control adenoviruses had no effect on IL-8 or GADD153, whereas it appears as if viral infection leads to decreased HEF1, CARP, ALK5 and ALK1 expression in HUVECs as well as ECRF24 cells. Constitutively active ALK1 signalling induced different gene expression responses in ECRF24 cells, HUVECs and HMEC-1 cells (see Table 6). ALK1QD up-regulated GADD153, IL-8, SMAD6, and ID1 in all three endothelial cell types. Increased expression of TLR4, endothelin, CARP and endoglin was only seen for primary HUVECs and HMEC-1 cells but not for ECRF24. In contrast, increased HEF1 expression by more than 3-fold was observed for ECRF24 and HMEC-1 cells but not for primary HUVECs. Furthermore, constitutively active ALK1 signalling decreased TβRII expression in ECRF24, but not HUVECs or HMEC-1 cells, and ALK5 expression was completely blocked in primary HUVECs, but unchanged in ECRF24 and HMEC-1 cells. These results suggest that within the endothelial cell lineage there is a notable cell type difference in ALK1-induced gene expression.

Table 6 Constitutively active ALK1 regulated gene expression in primary HUVECs and the HUVEC cell line ECRF24. ECRF24 cells were infected with an MOI of ~50 with the recombinant adenovirus AdLacZ, containing the LacZ gene, or AdALK1QD, respectively. Primary HUVECs were infected with an MOI of ~50 with the empty AdCMV3 adenovirus or AdALK1QD, respectively. Gene expression was assessed after 24 hours by qRT-PCR. Non-infected cells served as reference. qRT-PCR based relative gene expression was calculated using the comparative ΔΔCT method. RQ represents the relative expression level (fold change) compared to the reference sample. RQMax/Min are the relative maximum/minimum expression levels of the mean expression level RQ. The right column titled HMEC-1 shows in comparison the mean RQ level of three independent experiments with HMEC-1 cells infected with AdALK1QD (see Table 4). Genes with RQ values in bold are considered to be up-regulated.
Full size table

TGF-β1 regulated gene expression of ALK1 response genes in HMEC-1 cells

Thus far, ALK1 response genes were induced by a constitutively active ALK1 that does not require ligand binding for signal initiation. Since ALK1 is a TGF-β1 receptor, we wanted to know if these genes become regulated by TGF-β1, and in particular whether there are any differences between high or low concentrations of TGF-β1, which reportedly activate either the ALK5 or the ALK1 pathway [6, 29].

Approximately 80% confluent cells were incubated with 0.5 ng/ml or 4 ng/ml TGF-β1, respectively, for 16 hours and 24 hours, respectively, which would reflect the time intervall at which ALK1QD regulated gene expression was assesed before. Expression levels of ALK1 response genes were investigated by qRT-PCR and levels in TGF-β1-treated cells were compared to non-TGF-β1 treated cells. The expression profiles of TGF-β1 treated cells after 16 hours or 24 hours were almost identical regardless of TGF-β1 concentration (Table 7, for simplification only the 24 hr expression levels are listed). Gene expression levels with RQ values at or above 2 were considered to be increased and RQ levels below 0.90 were considered to be decreased. Four genes, COL5A1, HEF1, endothelin and BMP6 were up-regulated at both concentrations and time points; surprisingly c-myc expression was also increased being maximally up-regulated after 16 hours [RQ 1.66 (0.5 ng TGF-β1/ml) and RQ 1.99 (4 ng TGF-β1/ml)]. Three genes, GADD153, IL-8 and SMAD6 previously shown to be up-regulated by constitutively active ALK1 showed suppression at all conditions. TLR4, CARP and ID1 expression after 24 hours was decreased after treatment with low TGF-β1 concentrations but unchanged with high TGF-β1 concentrations. In summary, most of the studied genes showed a distinct expression profile in response to constitutively active ALK1 and TGF-β1 and only COL5A1, HEF1, endothelin and BMP6 expression was concordant.

Table 7 TGF-β1 regulated gene expression of ALK1 response genes in HMEC-1 cells. HMEC-1 cells (human microvascular endothelial cell line) were incubated with the indicated amounts of TGF-β1. Gene expression after 24 hours was assesed by qRT-PCR. Gene expression profile of non-TGF-β1 treated cells served as reference. qRT-PCR based relative gene expression was calculated using the comparative ΔΔCT method. RQ represents the relative expression level (fold change) compared to the reference sample. RQMax/Min are the relative maximum/minimum expression levels of the mean expression level RQ. The right column shows in comparison the average RQ level of three independent experiments with HMEC-1 cells infected with AdALK1QD (see Table 4). Genes with RQ values in bold are considered to be up-regulated and RQ values in italic are considered to be down-regulated.
Full size table

TGF-β1 dose-dependent regulation of ALK1 response genes in primary HUVECs

Although it was reported that TGF-β1 regulates gene expression differently in a dose dependent manner our analyses for the ALK1 response genes did not reveal such a regulatory mechanism for HMEC-1 cells. However, these experiments were performed with a cell line and immortalized cells may act differently than primary cells as used by Goumans and colleagues [6]. Thus, we used primary HUVECs to investigate what effect different TGF-β1 concentrations might have on the expression of ALK1 response genes. Approximately 80% confluent primary HUVECs were treated with different concentrations of TGF-β1 (0.25 ng/ml, 0.5 ng/ml, 1 ng/ml, 4 ng/ml) for 16 hours. Gene expression levels of a selected set of genes were compared to non-TGF-β1 treated cells by sqRT-PCR.

Several genes showed a clear concentration dependent bi-phasic effect. Low TGF-β1 concentrations (0.25 ng/ml, 0.5 ng/ml) increased the expression of COL5A1, HEF1, HPTPη, DNAJB1/HSP40 and ALK1 whereas higher concentrations (1 ng/ml, 4 ng/ml) reduced expression, which was most obvious at 4 ng/ml (Figure 1). A second group of genes, IL-8, GADD153 and c-myc, were down-regulated at all TGF-β1 concentrations. For a third group of genes, TLR4 and ET-1, reduced expression was only observed at 4 ng/ml TGF-β1 and the expression of CARP was not changed by any of the TGF-β1 concentrations. SMAD6 showed a surprising expression pattern, being up-regulated at the intermediate TGF-β1 concentration of 1 ng/ml but was otherwise unaffected by any other concentration. We also tested for MGSA but were unable to detect endogenous expression in HUVECs.

Figure 1
figure 1

TGF-β1 regulated gene expression in primary HUVECs. Primary HUVECs were treated for 16 hours with different TGF-β1 concentrations as indicated. Subsequently, RNA was isolated and gene expression for a set of genes was investigated by semi-quantitative RT-PCR. Expression levels for the GAPDH gene served as an internal control.

Full size image

Discussion

The aim of this study was to identify genes that are regulated by ALK1 signalling in endothelial cells. We were able to identify 34 genes by Affymetrix GeneChip™ and qRT-PCR analysis that were up-regulated in at least two out of three independent experiments in HMEC-1 cells after 24 hours (Table 4) and 15 genes identified by GeneChip™ analysis being regulated after 4 hours (Table 5). Those genes regulated after 4 hours are considered to be early response genes and therefore are most likely direct targets of ALK1 signalling, whereas the genes identified after 24 hours are either late response genes or are indirectly effected by ALK1 signalling. Nevertheless, abrogated or reduced ALK1 signalling would affect the expression of early and late response genes as well as indirectly regulated genes.

HHT is a vascular disorder of localized imbalanced angiogenesis [38] caused by mutations in ALK1 or endoglin, which implies that ALK1 signalling regulates angiogenesis related genes. Indeed, several of the identified genes in our study are reported to be involved in angiogenesis, tumor angiogenesis and arteriogenesis, i.e. IL-8 [39], ET-1 [40], CARP [41], HPTPη [42], ID1 [43, 44], MGSA [45], SMAD7 [46], HO-1 [47, 48], RHOB [49], PTHLH [50, 51], SERPINH1/HSP47 [52], JAG1 [53], GNA13 [54] and TEAD4 [55]. Animal studies for some of these genes showed that gene deletion causes embryonic lethality in mice that is accompanied by, or the result of, vascular defects, in part similar to those seen in HHT mice models.

HPTPη homozygous mutant mice died before embryonic day 11.5 with vascularisation failure marked by growth retardation, disorganized vascular structures with a notable lack of endoglin expression, an increase in endothelial cell numbers and mitotic activity. Mutant embryos showed homogeneously enlarged primitive vessels defective in vascular remodelling and branching, similar to endoglin-deficient embryos [42]. ID1 activates endothelial cell proliferation and migration, represses the transcription of the angiogenesis inhibitor thrombospondin-1, and ID1 expression can be induced by VEGF and TGF-β1 [43]. RHOB null mice showed a retarded vascular development characterized by altered sprout morphology. Depletion of RhoB in neonatal rats is associated with apoptosis in the sprouting endothelial cells of newly forming vessels and similarly, in primary endothelial cell culture models RhoB anti-sensense RNA treatment led to apoptosis and failure in tube formation [49]. Jagged1 knock-out mice are embryonically lethal with vascular remodelling defects [56]. Mutations in Jagged1 cause the Alagille syndrome (AGS) a dominantly inherited multi-system disorder. Intracranial bleeding is a recognized complication and a cause of mortality in AGS due to intracranial vessel abnormalities. There is a body of evidence supporting a role for Jagged1 and the Notch signalling pathway in vascular development, i.e. arterial-venous differentiation [57]. TGF-β1 regulates the expression of extracellular matrix (ECM) proteins.

We identified two genes, SERPINH1/HSP47 and COL5A1, to be up-regulated by ALK1 that can be directly linked to the ECM. The heat shock protein hsp47 is involved in the maturation of the ECM protein type I collagen, both being induced by TGF-β1 [58]. COL5A1 expression in osteoblasts and vascular smooth muscle cells is induced by TGF-β1 [59, 60] and haplo-insufficiency leads to the heritable connective-tissue disorder Ehlers-Danlos syndrome that is characterized by an altered collagen-fibrillar structure of the dermis, joints, eyes and blood vessels [61]. COL5A1 -/- mice are embryonially lethal around day E10 and death is associated with pooling of blood in the yolk sac, suggesting an insufficient wall integrity to maintain a functioning yolk sac [62]. Mis-expression of Smad7 gave rise to dilated large vessels in the developing chick limb and head, and development of intra and intervascular shunts were frequently observed [46]. It is noteworthy that the ALK1 early response gene TEAD4/RTEF-1 is a transcription factor that stimulates VEGF expression and thus promotes endothelial migration and tube formation [54].

The cumulative developmental and biological data for the above described proteins and the fact that their genes are ALK1-regulated suggests that ALK1 is part of an inter-dependent network in vascular homeostasis. This might explain the vascular defects observed in HHT patients and HHT mice models. Many of these genes may be potential candidates in the search for HHT modifier genes. Thus, it would be important now to investigate the expression profile of these genes in the HHT endoglin and ALK1 mice models as well as in HHT patients. Furthermore, the ALK1-response genes endothelin (ET-1), heme oxygenase (HO-1) and BMP6 might also be involved in other vascular disorders. For example, patients with ALK1 mutations were reported with overlapping symptoms for HHT and primary pulmonary hypertension [63] a disorder effecting endothelial as well as smooth muscle cells. Endothelin and heme oxygenase play a role in vascular tone regulation [64, 65] and BMP6 is involved in vascular smooth muscle cell differentiation and being an antagonist of TGF-β1 [66].

ALK1 is a TGF-β1 receptor. We therefore performed a literature search to see which one of the ALK1 regulated genes were reported to be TGF-β1 response genes. We found reports for 19 genes to be regulated by TGF-β1 (Table 4 and 5). Furthermore, our sqRT-PCR results for primary HUVECs (Figure 1) demonstrate that GADD153, HPTPη, TLR4 and DNAJB1 expression is also regulated by TGF-β1 adding these genes to the list of TGF-β1 response genes while the remaining genes might be new target genes of TGF-β s or BMPs. In addition, expression of several ALK1-response genes in primary HUVECs are regulated by TGF-β1 in a concentration dependent bi-phasic way (Figure 1), being up-regulated at lower TGF-β1 concentrations and down-regulated at high concentrations. Such a TGF-β dose dependent response mechanism for primary endothelial cells was reported previously [6], showing that low TGF-β1 concentrations (0.25 ng/ml and 0.5 ng/ml) phosphorylated Smad1/5 and enhanced proliferation and migration mediated by ALK1, whereas high TGF-β1 concentrations (≥ 2.5 ng/ml) had the opposite effect mediated by ALK5 due to phosphorylation of Smad2/3. Further experiments are currently under way to investigate how ALK1 might be involved in the bi-phasic activity of TGF-β1 in regulating the here identified ALK1-response genes. In addition, we show to our knowledge for the first time, that ALK1 expression in primary HUVECs is regulated by TGF-β1 (Figure 1).

We observed distinct gene expression responses upon ALK1QD signalling among three different endothelial cell types (Table 6, summarized in Table 8), two established endothelial cell lines (HMEC-1, ECRF24) and primary endothelial cells (HUVECs). Cell type differences within the endothelial lineage were also observed for TGF-β1 induced gene expression in primary HUVECs and HMEC-1 cells (summarized in Table 8). TGF-β1 regulated gene expression in HMEC-1 cells did not follow the expression pattern as seen for several genes in primary HUVECs. For example, COL5A1 and HEF1 were up-regulated in HMEC-1 cells at low and high TGF-β1 concentrations, but in HUVECs these genes followed a dose dependent expression pattern. This difference between different endothelial cell types might explain why there is only minimal overlap between our list of ALK1 regulated genes and previously published reports.

Table 8 Overview of constitutively active ALK1 and TGF-β1 regulated gene expression in different endothelial cell types.
Full size table

Lamouille and colleagues analysed ALK1 induced gene expression of AdALK1QD infected primary dermal microvascular endothelial cells after 15 hours [30], but there is no overlap regarding the expression profile with our study, and this was despite the HMEC-1 cell line being derived from dermal microvascular endothelial cells. In a study by Ota et al. [35], primary HUVECs were used to establish an ALK1 regulated expression profile 48 hours after AdALK1QD infection and only the increased expression for SMAD6, SMAD7, ID1, ID2 and endoglin agrees with our study. The greatest agreement can be found with a recent analysis by Wu et al. [67]. Here, AdALK1QD infected human lung microvascular endothelial cells were used to investigate ALK1 regulated gene expression comparable to the expression profile initiated after 4 hour TGF-β1 treatment as stated by the authors. The authors report increased expression for GADD153, HEF1, DNAJB1, HO-1, SMAD7, CRYAB, HERPUD1, LENG4 and SERPINH1, like in our study but they did not find increased expression for endoglin, SMAD6 or ID1 or ID2 as we and Ota et al. observed. However, several other genes including TLR4, endoglin, JAG1, CD155 and KPNA3 which we found to be increased by ALK1 were instead induced by TGF-β1 in the study by Wu et al. Furthermore, they showed that the profiles of genes regulated by TGF-β1, ALK1 and ALK5 in lung microvascular endothelial cells are distinct from each other, although some genes are regulated by all of them. This is similar to our data in that there is a difference in TGF-β induced signalling and constitutively active ALK1 signalling in HMEC-1 cells (Table 7, summarized in Table 8) and HUVECs. In HUVECs, constitutively active ALK1 increased IL-8, GADD153 and CARP expression that were either repressed by TGF-β1 or unchanged (Figure 1). How can this be explained? The observed disparities might be due to ligand mediated transient responses versus the sustained responses owing to a constitutively active receptor. Signal intensity and duration are important factors in signal specificity. It is also possible that cell type dependent TGF-β1 acts through Smad-dependent and Smad-independent pathways. Nevertheless, it can not be excluded that further ALK1 ligands like TGF-β3 or may be BMP9 [68] exist that initiate a different gene profile than TGF-β1. In addition, it is also possible that ligand independent ALK1QD regulated gene expression in endothelial cells might partly reflect ALK1-specific responses (i.e. REST, NFIB, TEAD4, NF2, HEF1) for other cell types like smooth muscle cells or neuronal cells [69].

Conclusion

In conclusion, we have identified new ALK1 as well as TGF-β1 response genes. Several of those are involved in the different phases of angiogenesis. Being down-stream of the ALK1 signalling pathway the expression of these genes would be affected by ALK1 mutations suggesting that these genes might be involved in the development of HHT. In addition, we showed that ligand induced receptor signalling and subsequent gene expression can be different from gene expression induced by constitutively active receptor signalling. Therefore, the gene expression results obtained from studies with constitutively active receptors like ALK1QD help to identify new target genes but the results may not necessarily reflect the ligand activated gene expression profile. This needs to be established in further assays.

Abbreviations

ALK:

activin receptor-like kinase

BMP:

bone morphogenetic protein

conc.:

concentration

FCS:

fetal calf serum

HHT:

hereditary hemorrhagic telangiectasia

HMEC:

human microvascular endothelial cell

HUVEC:

human umbilical vein endothelial cell

MOI:

multiplicity of infection

qRT-PCR:

quantitative real-time-polymerase chain reaction

RT:

reverse transcription

sqRT-PCR:

semi quantitative RT-PCR

TGF:

transforming growth factor.

References

  1. Massague J, Blain SW, Lo RS: TGFbeta signaling in growth control, cancer, and heritable disorders. Cell. 2000, 103: 295-309. 10.1016/S0092-8674(00)00121-5.

    CAS  Article  PubMed  Google Scholar 

  2. ten Dijke P, Hill CS: New insights into TGF-beta-Smad signalling. Trends Biochem Sci. 2004, 29: 265-273. 10.1016/j.tibs.2004.03.008.

    CAS  Article  PubMed  Google Scholar 

  3. Blobe GC, Schiemann WP, Lodish HF: Role of transforming growth factor beta in human disease. N Engl J Med. 2000, 342: 1350-1358. 10.1056/NEJM200005043421807.

    CAS  Article  PubMed  Google Scholar 

  4. Shi Y, Massague J: Mechanisms of TGF-beta signaling from cell membrane to the nucleus. Cell. 2003, 113: 685-700. 10.1016/S0092-8674(03)00432-X.

    CAS  Article  PubMed  Google Scholar 

  5. Pepper MS: Transforming growth factor-beta: vasculogenesis, angiogenesis, and vessel wall integrity. Cytokine Growth Factor Rev. 1997, 8: 21-43. 10.1016/S1359-6101(96)00048-2.

    CAS  Article  PubMed  Google Scholar 

  6. Goumans MJ, Valdimarsdottir G, Itoh S, Rosendahl A, Sideras P, ten Dijke P: Balancing the activation state of the endothelium via two distinct TGF-beta type I receptors. Embo J. 2002, 21: 1743-1753. 10.1093/emboj/21.7.1743.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. Pepper MS, Vassalli JD, Orci L, Montesano R: Biphasic effect of transforming growth factor-beta 1 on in vitro angiogenesis. Exp Cell Res. 1993, 204: 356-363. 10.1006/excr.1993.1043.

    CAS  Article  PubMed  Google Scholar 

  8. Gajdusek CM, Luo Z, Mayberg MR: Basic fibroblast growth factor and transforming growth factor beta-1: synergistic mediators of angiogenesis in vitro. J Cell Physiol. 1993, 157: 133-144. 10.1002/jcp.1041570118.

    CAS  Article  PubMed  Google Scholar 

  9. van den Driesche S, Mummery CL, Westermann CJ: Hereditary hemorrhagic telangiectasia: an update on transforming growth factor beta signaling in vasculogenesis and angiogenesis. Cardiovasc Res. 2003, 58: 20-31. 10.1016/S0008-6363(02)00852-0.

    CAS  Article  PubMed  Google Scholar 

  10. Marchuk DA, Lux A: Hereditary Hemorrhagic Telangiectasia. The Metabolic & Molecular Bases of Inherited Disease. Edited by: Scriver CRBALVDSWS. 2001, , McGraw-Hill Medical Publishing Division, IV: 5419 -55431. 8th

    Google Scholar 

  11. Marchuk DA, Srinivasan S, Squire TL, Zawistowski JS: Vascular morphogenesis: tales of two syndromes. Hum Mol Genet. 2003, 12 Spec No 1: R97-112. 10.1093/hmg/ddg103.

    Article  PubMed  Google Scholar 

  12. Braverman IM, Keh A, Jacobson BS: Ultrastructure and three-dimensional organization of the telangiectases of hereditary hemorrhagic telangiectasia. J Invest Dermatol. 1990, 95: 422-427. 10.1111/1523-1747.ep12555569.

    CAS  Article  PubMed  Google Scholar 

  13. McAllister KA, Grogg KM, Johnson DW, Gallione CJ, Baldwin MA, Jackson CE, Helmbold EA, Markel DS, McKinnon WC, Murrell J, McCormick K, Pericak-Vance MA, Heutink P, Oostra BA, Haitjema T, Westerman CJJ, Porteous ME, Guttmacher AE, Letarte M, Marchuk DA: Endoglin, a TGF-beta binding protein of endothelial cells, is the gene for hereditary haemorrhagic telangiectasia type 1. Nat Genet. 1994, 8: 345-351. 10.1038/ng1294-345.

    CAS  Article  PubMed  Google Scholar 

  14. Johnson DW, Berg JN, Baldwin MA, Gallione CJ, Marondel I, Yoon SJ, Stenzel TT, Speer M, Pericak-Vance MA, Diamond A, Guttmacher AE, Jackson CE, Attisano L, Kucherlapati R, Porteous ME, Marchuk DA: Mutations in the activin receptor-like kinase 1 gene in hereditary haemorrhagic telangiectasia type 2. Nat Genet. 1996, 13: 189-195. 10.1038/ng0696-189.

    CAS  Article  PubMed  Google Scholar 

  15. Gallione CJ, Repetto GM, Legius E, Rustgi AK, Schelley SL, Tejpar S, Mitchell G, Drouin E, Westermann CJ, Marchuk DA: A combined syndrome of juvenile polyposis and hereditary haemorrhagic telangiectasia associated with mutations in MADH4 (SMAD4). Lancet. 2004, 363: 852-859. 10.1016/S0140-6736(04)15732-2.

    CAS  Article  PubMed  Google Scholar 

  16. Cheifetz S, Bellon T, Cales C, Vera S, Bernabeu C, Massague J, Letarte M: Endoglin is a component of the transforming growth factor-beta receptor system in human endothelial cells. J Biol Chem. 1992, 267: 19027-19030.

    CAS  PubMed  Google Scholar 

  17. Letamendia A, Lastres P, Botella LM, Raab U, Langa C, Velasco B, Attisano L, Bernabeu C: Role of endoglin in cellular responses to transforming growth factor-beta. A comparative study with betaglycan. J Biol Chem. 1998, 273: 33011-33019. 10.1074/jbc.273.49.33011.

    CAS  Article  PubMed  Google Scholar 

  18. Lux A, Attisano L, Marchuk DA: Assignment of transforming growth factor beta1 and beta3 and a third new ligand to the type I receptor ALK-1. J Biol Chem. 1999, 274: 9984-9992. 10.1074/jbc.274.15.9984.

    CAS  Article  PubMed  Google Scholar 

  19. Macias-Silva M, Hoodless PA, Tang SJ, Buchwald M, Wrana JL: Specific activation of Smad1 signaling pathways by the BMP7 type I receptor, ALK2. J Biol Chem. 1998, 273: 25628-25636. 10.1074/jbc.273.40.25628.

    CAS  Article  PubMed  Google Scholar 

  20. Chen YG, Massague J: Smad1 recognition and activation by the ALK1 group of transforming growth factor-beta family receptors. J Biol Chem. 1999, 274: 3672-3677. 10.1074/jbc.274.6.3672.

    CAS  Article  PubMed  Google Scholar 

  21. Bourdeau A, Dumont DJ, Letarte M: A murine model of hereditary hemorrhagic telangiectasia. J Clin Invest. 1999, 104: 1343-1351.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. Arthur HM, Ure J, Smith AJ, Renforth G, Wilson DI, Torsney E, Charlton R, Parums DV, Jowett T, Marchuk DA, Burn J, Diamond AG: Endoglin, an ancillary TGFbeta receptor, is required for extraembryonic angiogenesis and plays a key role in heart development. Dev Biol. 2000, 217: 42-53. 10.1006/dbio.1999.9534.

    CAS  Article  PubMed  Google Scholar 

  23. Li DY, Sorensen LK, Brooke BS, Urness LD, Davis EC, Taylor DG, Boak BB, Wendel DP: Defective angiogenesis in mice lacking endoglin. Science. 1999, 284: 1534-1537. 10.1126/science.284.5419.1534.

    CAS  Article  PubMed  Google Scholar 

  24. Oh SP, Seki T, Goss KA, Imamura T, Yi Y, Donahoe PK, Li L, Miyazono K, ten Dijke P, Kim S, Li E: Activin receptor-like kinase 1 modulates transforming growth factor-beta 1 signaling in the regulation of angiogenesis. Proc Natl Acad Sci U S A. 2000, 97: 2626-2631. 10.1073/pnas.97.6.2626.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  25. Srinivasan S, Hanes MA, Dickens T, Porteous ME, Oh SP, Hale LP, Marchuk DA: A mouse model for hereditary hemorrhagic telangiectasia (HHT) type 2. Hum Mol Genet. 2003, 12: 473-482. 10.1093/hmg/ddg050.

    CAS  Article  PubMed  Google Scholar 

  26. Torsney E, Charlton R, Diamond AG, Burn J, Soames JV, Arthur HM: Mouse model for hereditary hemorrhagic telangiectasia has a generalized vascular abnormality. Circulation. 2003, 107: 1653-1657. 10.1161/01.CIR.0000058170.92267.00.

    Article  PubMed  Google Scholar 

  27. Lebrin F, Goumans MJ, Jonker L, Carvalho RL, Valdimarsdottir G, Thorikay M, Mummery C, Arthur HM, ten Dijke P: Endoglin promotes endothelial cell proliferation and TGF-beta/ALK1 signal transduction. Embo J. 2004, 23: 4018-4028. 10.1038/sj.emboj.7600386.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  28. Blanco FJ, Santibanez JF, Guerrero-Esteo M, Langa C, Vary CP, Bernabeu C: Interaction and functional interplay between endoglin and ALK-1, two components of the endothelial transforming growth factor-beta receptor complex. J Cell Physiol. 2005, 204: 574-584. 10.1002/jcp.20311.

    CAS  Article  PubMed  Google Scholar 

  29. Goumans MJ, Valdimarsdottir G, Itoh S, Lebrin F, Larsson J, Mummery C, Karlsson S, ten Dijke P: Activin receptor-like kinase (ALK)1 is an antagonistic mediator of lateral TGFbeta/ALK5 signaling. Mol Cell. 2003, 12: 817-828. 10.1016/S1097-2765(03)00386-1.

    CAS  Article  PubMed  Google Scholar 

  30. Ades EW, Candal FJ, Swerlick RA, George VG, Summers S, Bosse DC, Lawley TJ: HMEC-1: establishment of an immortalized human microvascular endothelial cell line. J Invest Dermatol. 1992, 99: 683-690. 10.1111/1523-1747.ep12613748.

    CAS  Article  PubMed  Google Scholar 

  31. Fontijn R, Hop C, Brinkman HJ, Slater R, Westerveld A, van Mourik JA, Pannekoek H: Maintenance of vascular endothelial cell-specific properties after immortalization with an amphotrophic replication-deficient retrovirus containing human papilloma virus 16 E6/E7 DNA. Exp Cell Res. 1995, 216: 199-207. 10.1006/excr.1995.1025.

    CAS  Article  PubMed  Google Scholar 

  32. Hardy S, Kitamura M, Harris-Stansil T, Dai Y, Phipps ML: Construction of adenovirus vectors through Cre-lox recombination. J Virol. 1997, 71: 1842-1849.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. . [[http://www.affymetrix.com/index.affx]]

  34. [[http://www.data.cgt.duke.edu/Andreas.php]]

  35. Ota T, Fujii M, Sugizaki T, Ishii M, Miyazawa K, Aburatani H, Miyazono K: Targets of transcriptional regulation by two distinct type I receptors for transforming growth factor-beta in human umbilical vein endothelial cells. J Cell Physiol. 2002, 193: 299-318. 10.1002/jcp.10170.

    CAS  Article  PubMed  Google Scholar 

  36. Lamouille S, Mallet C, Feige JJ, Bailly S: Activin receptor-like kinase 1 is implicated in the maturation phase of angiogenesis. Blood. 2002, 100: 4495-4501. 10.1182/blood.V100.13.4495.

    CAS  Article  PubMed  Google Scholar 

  37. Morgan TE, Rozovsky I, Sarkar DK, Young-Chan CS, Nichols NR, Laping NJ, Finch CE: Transforming growth factor-beta1 induces transforming growth factor-beta1 and transforming growth factor-beta receptor messenger RNAs and reduces complement C1qB messenger RNA in rat brain microglia. Neuroscience. 2000, 101: 313-321. 10.1016/S0306-4522(00)00387-0.

    CAS  Article  PubMed  Google Scholar 

  38. Sadick H, Riedel F, Naim R, Goessler U, Hormann K, Hafner M, Lux A: Patients with hereditary hemorrhagic telangiectasia have increased plasma levels of vascular endothelial growth factor and transforming growth factor-beta1 as well as high ALK1 tissue expression. Haematologica. 2005, 90: 818-828.

    CAS  PubMed  Google Scholar 

  39. Belperio JA, Keane MP, Arenberg DA, Addison CL, Ehlert JE, Burdick MD, Strieter RM: CXC chemokines in angiogenesis. J Leukoc Biol. 2000, 68: 1-8.

    CAS  PubMed  Google Scholar 

  40. Bagnato A, Spinella F: Emerging role of endothelin-1 in tumor angiogenesis. Trends Endocrinol Metab. 2003, 14: 44-50. 10.1016/S1043-2760(02)00010-3.

    CAS  Article  PubMed  Google Scholar 

  41. Boengler K, Pipp F, Fernandez B, Ziegelhoeffer T, Schaper W, Deindl E: Arteriogenesis is associated with an induction of the cardiac ankyrin repeat protein (carp). Cardiovasc Res. 2003, 59: 573-581. 10.1016/S0008-6363(03)00511-X.

    CAS  Article  PubMed  Google Scholar 

  42. Takahashi T, Takahashi K, St John PL, Fleming PA, Tomemori T, Watanabe T, Abrahamson DR, Drake CJ, Shirasawa T, Daniel TO: A mutant receptor tyrosine phosphatase, CD148, causes defects in vascular development. Mol Cell Biol. 2003, 23: 1817-1831. 10.1128/MCB.23.5.1817-1831.2003.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  43. Sakurai D, Tsuchiya N, Yamaguchi A, Okaji Y, Tsuno NH, Kobata T, Takahashi K, Tokunaga K: Crucial role of inhibitor of DNA binding/differentiation in the vascular endothelial growth factor-induced activation and angiogenic processes of human endothelial cells. J Immunol. 2004, 173: 5801-5809.

    CAS  Article  PubMed  Google Scholar 

  44. Volpert OV, Pili R, Sikder HA, Nelius T, Zaichuk T, Morris C, Shiflett CB, Devlin MK, Conant K, Alani RM: Id1 regulates angiogenesis through transcriptional repression of thrombospondin-1. Cancer Cell. 2002, 2: 473-483. 10.1016/S1535-6108(02)00209-X.

    CAS  Article  PubMed  Google Scholar 

  45. Haghnegahdar H, Du J, Wang D, Strieter RM, Burdick MD, Nanney LB, Cardwell N, Luan J, Shattuck-Brandt R, Richmond A: The tumorigenic and angiogenic effects of MGSA/GRO proteins in melanoma. J Leukoc Biol. 2000, 67: 53-62.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Vargesson N, Laufer E: Smad7 misexpression during embryonic angiogenesis causes vascular dilation and malformations independently of vascular smooth muscle cell function. Dev Biol. 2001, 240: 499-516. 10.1006/dbio.2001.0481.

    CAS  Article  PubMed  Google Scholar 

  47. Bussolati B, Ahmed A, Pemberton H, Landis RC, Di Carlo F, Haskard DO, Mason JC: Bifunctional role for VEGF-induced heme oxygenase-1 in vivo: induction of angiogenesis and inhibition of leukocytic infiltration. Blood. 2004, 103: 761-766. 10.1182/blood-2003-06-1974.

    CAS  Article  PubMed  Google Scholar 

  48. Dulak J, Loboda A, Zagorska A, Jozkowicz A: Complex role of heme oxygenase-1 in angiogenesis. Antioxid Redox Signal. 2004, 6: 858-866.

    CAS  Article  PubMed  Google Scholar 

  49. Adini I, Rabinovitz I, Sun JF, Prendergast GC, Benjamin LE: RhoB controls Akt trafficking and stage-specific survival of endothelial cells during vascular development. Genes Dev. 2003, 17: 2721-2732. 10.1101/gad.1134603.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  50. Bakre MM, Zhu Y, Yin H, Burton DW, Terkeltaub R, Deftos LJ, Varner JA: Parathyroid hormone-related peptide is a naturally occurring, protein kinase A-dependent angiogenesis inhibitor. Nat Med. 2002, 8: 995-1003. 10.1038/nm753.

    CAS  Article  PubMed  Google Scholar 

  51. Akino K, Ohtsuru A, Kanda K, Yasuda A, Yamamoto T, Akino Y, Naito S, Kurokawa M, Iwahori N, Yamashita S: Parathyroid hormone-related peptide is a potent tumor angiogenic factor. Endocrinology. 2000, 141: 4313-4316. 10.1210/en.141.11.4313.

    CAS  Article  PubMed  Google Scholar 

  52. Nikitakis NG, Rivera H, Lopes MA, Siavash H, Reynolds MA, Ord RA, Sauk JJ: Immunohistochemical expression of angiogenesis-related markers in oral squamous cell carcinomas with multiple metastatic lymph nodes. Am J Clin Pathol. 2003, 119: 574-586. 10.1309/JD3D-HGCD-GAUN-1R0J.

    Article  PubMed  Google Scholar 

  53. Shawber CJ, Kitajewski J: Notch function in the vasculature: insights from zebrafish, mouse and man. Bioessays. 2004, 26: 225-234. 10.1002/bies.20004.

    CAS  Article  PubMed  Google Scholar 

  54. Ruppel KM, Willison D, Kataoka H, Wang A, Zheng YW, Cornelissen I, Yin L, Xu SM, Coughlin SR: Essential role for Galpha13 in endothelial cells during embryonic development. Proc Natl Acad Sci U S A. 2005, 102: 8281-8286. 10.1073/pnas.0503326102.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  55. Shie JL, Wu G, Wu J, Liu FF, Laham RJ, Oettgen P, Li J: RTEF-1, a novel transcriptional stimulator of vascular endothelial growth factor in hypoxic endothelial cells. J Biol Chem. 2004, 279: 25010-25016. 10.1074/jbc.M403103200.

    CAS  Article  PubMed  Google Scholar 

  56. Xue Y, Gao X, Lindsell CE, Norton CR, Chang B, Hicks C, Gendron-Maguire M, Rand EB, Weinmaster G, Gridley T: Embryonic lethality and vascular defects in mice lacking the Notch ligand Jagged1. Hum Mol Genet. 1999, 8: 723-730. 10.1093/hmg/8.5.723.

    CAS  Article  PubMed  Google Scholar 

  57. Kamath BM, Spinner NB, Emerick KM, Chudley AE, Booth C, Piccoli DA, Krantz ID: Vascular anomalies in Alagille syndrome: a significant cause of morbidity and mortality. Circulation. 2004, 109: 1354-1358. 10.1161/01.CIR.0000121361.01862.A4.

    Article  PubMed  Google Scholar 

  58. Martelli-Junior H, Cotrim P, Graner E, Sauk JJ, Coletta RD: Effect of transforming growth factor-beta1, interleukin-6, and interferon-gamma on the expression of type I collagen, heat shock protein 47, matrix metalloproteinase (MMP)-1 and MMP-2 by fibroblasts from normal gingiva and hereditary gingival fibromatosis. J Periodontol. 2003, 74: 296-306. 10.1902/jop.2003.74.3.296.

    CAS  Article  PubMed  Google Scholar 

  59. Kahai S, Vary CP, Gao Y, Seth A: Collagen, type V, alpha1 (COL5A1) is regulated by TGF-beta in osteoblasts. Matrix Biol. 2004, 23: 445-455. 10.1016/j.matbio.2004.09.004.

    CAS  Article  PubMed  Google Scholar 

  60. Lawrence R, Hartmann DJ, Sonenshein GE: Transforming growth factor beta 1 stimulates type V collagen expression in bovine vascular smooth muscle cells. J Biol Chem. 1994, 269: 9603-9609.

    CAS  PubMed  Google Scholar 

  61. Wenstrup RJ, Florer JB, Willing MC, Giunta C, Steinmann B, Young F, Susic M, Cole WG: COL5A1 haploinsufficiency is a common molecular mechanism underlying the classical form of EDS. Am J Hum Genet. 2000, 66: 1766-1776. 10.1086/302930.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  62. Wenstrup RJ, Florer JB, Brunskill EW, Bell SM, Chervoneva I, Birk DE: Type V collagen controls the initiation of collagen fibril assembly. J Biol Chem. 2004, 279: 53331-53337. 10.1074/jbc.M409622200.

    CAS  Article  PubMed  Google Scholar 

  63. Trembath RC: Mutations in the TGF-beta type 1 receptor, ALK1, in combined primary pulmonary hypertension and hereditary haemorrhagic telangiectasia, implies pathway specificity. J Heart Lung Transplant. 2001, 20: 175-10.1016/S1053-2498(00)00352-1.

    Article  PubMed  Google Scholar 

  64. Humbert M, Morrell NW, Archer SL, Stenmark KR, MacLean MR, Lang IM, Christman BW, Weir EK, Eickelberg O, Voelkel NF, Rabinovitch M: Cellular and molecular pathobiology of pulmonary arterial hypertension. J Am Coll Cardiol. 2004, 43: 13S-24S. 10.1016/j.jacc.2004.02.029.

    CAS  Article  PubMed  Google Scholar 

  65. Chen YH, Yet SF, Perrella MA: Role of heme oxygenase-1 in the regulation of blood pressure and cardiac function. Exp Biol Med (Maywood). 2003, 228: 447-453.

    CAS  Google Scholar 

  66. King KE, Iyemere VP, Weissberg PL, Shanahan CM: Kruppel-like factor 4 (KLF4/GKLF) is a target of bone morphogenetic proteins and transforming growth factor beta 1 in the regulation of vascular smooth muscle cell phenotype. J Biol Chem. 2003, 278: 11661-11669. 10.1074/jbc.M211337200.

    CAS  Article  PubMed  Google Scholar 

  67. Wu X, Ma J, Han JD, Wang N, Chen YG: Distinct regulation of gene expression in human endothelial cells by TGF-beta and its receptors. Microvasc Res. 2006, 71: 12-19. 10.1016/j.mvr.2005.11.004.

    CAS  Article  PubMed  Google Scholar 

  68. Brown MA, Zhao Q, Baker KA, Naik C, Chen C, Pukac L, Singh M, Tsareva T, Parice Y, Mahoney A, Roschke V, Sanyal I, Choe S: Crystal Structure of BMP-9 and Functional Interactions with Pro-region and Receptors. J Biol Chem. 2005, 280: 25111-25118. 10.1074/jbc.M503328200.

    CAS  Article  PubMed  Google Scholar 

  69. Konig HG, Kogel D, Rami A, Prehn JH: TGF-{beta}1 activates two distinct type I receptors in neurons: implications for neuronal NF-{kappa}B signaling. J Cell Biol. 2005, 168: 1077-1086. 10.1083/jcb.200407027.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Xie L, Law BK, Aakre ME, Edgerton M, Shyr Y, Bhowmick NA, Moses HL: Transforming growth factor beta-regulated gene expression in a mouse mammary gland epithelial cell line. Breast Cancer Res. 2003, 5: R187-98. 10.1186/bcr640.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  71. Shi Y, Reitmaier B, Regenbogen J, Slowey RM, Opalenik SR, Wolf E, Goppelt A, Davidson JM: CARP, a cardiac ankyrin repeat protein, is up-regulated during wound healing and induces angiogenesis in experimental granulation tissue. Am J Pathol. 2005, 166: 303-312.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  72. Kumar NM, Rabadi NH, Sigurdson LS, Schunemann HJ, Lwebuga-Mukasa JS: Induction of interleukin-1 and interleukin-8 mRNAs and proteins by TGF beta 1 in rat lung alveolar epithelial cells. J Cell Physiol. 1996, 169: 186-199. 10.1002/(SICI)1097-4652(199610)169:1<186::AID-JCP19>3.0.CO;2-B.

    CAS  Article  PubMed  Google Scholar 

  73. Fong CY, Pang L, Holland E, Knox AJ: TGF-beta1 stimulates IL-8 release, COX-2 expression, and PGE(2) release in human airway smooth muscle cells. Am J Physiol Lung Cell Mol Physiol. 2000, 279: L201-7.

    CAS  PubMed  Google Scholar 

  74. Chen CC, Manning AM: TGF-beta 1, IL-10 and IL-4 differentially modulate the cytokine-induced expression of IL-6 and IL-8 in human endothelial cells. Cytokine. 1996, 8: 58-65. 10.1006/cyto.1995.0008.

    CAS  Article  PubMed  Google Scholar 

  75. Rodriguez-Pascual F, Redondo-Horcajo M, Lamas S: Functional cooperation between Smad proteins and activator protein-1 regulates transforming growth factor-beta-mediated induction of endothelin-1 expression. Circ Res. 2003, 92: 1288-1295. 10.1161/01.RES.0000078491.79697.7F.

    CAS  Article  PubMed  Google Scholar 

  76. Ferguson CM, Schwarz EM, Puzas JE, Zuscik MJ, Drissi H, O'Keefe RJ: Transforming growth factor-beta1 induced alteration of skeletal morphogenesis in vivo. J Orthop Res. 2004, 22: 687-696. 10.1016/j.orthres.2003.10.023.

    CAS  Article  PubMed  Google Scholar 

  77. Ning W, Song R, Li C, Park E, Mohsenin A, Choi AM, Choi ME: TGF-beta1 stimulates HO-1 via the p38 mitogen-activated protein kinase in A549 pulmonary epithelial cells. Am J Physiol Lung Cell Mol Physiol. 2002, 283: L1094-102.

    CAS  Article  PubMed  Google Scholar 

  78. Zavadil J, Cermak L, Soto-Nieves N, Bottinger EP: Integration of TGF-beta/Smad and Jagged1/Notch signalling in epithelial-to-mesenchymal transition. Embo J. 2004, 23: 1155-1165. 10.1038/sj.emboj.7600069.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  79. Lindemann RK, Nordheim A, Dittmer J: Interfering with TGFbeta-induced Smad3 nuclear accumulation differentially affects TGFbeta-dependent gene expression. Mol Cancer. 2003, 2: 20-10.1186/1476-4598-2-20.

    Article  PubMed  PubMed Central  Google Scholar 

  80. Kakonen SM, Selander KS, Chirgwin JM, Yin JJ, Burns S, Rankin WA, Grubbs BG, Dallas M, Cui Y, Guise TA: Transforming growth factor-beta stimulates parathyroid hormone-related protein and osteolytic metastases via Smad and mitogen-activated protein kinase signaling pathways. J Biol Chem. 2002, 277: 24571-24578. 10.1074/jbc.M202561200.

    CAS  Article  PubMed  Google Scholar 

  81. Schiffer M, Schiffer LE, Gupta A, Shaw AS, Roberts IS, Mundel P, Bottinger EP: Inhibitory smads and tgf-Beta signaling in glomerular cells. J Am Soc Nephrol. 2002, 13: 2657-2666. 10.1097/01.ASN.0000033276.06451.50.

    CAS  Article  PubMed  Google Scholar 

  82. Wheeler AP, Ridley AJ: Why three Rho proteins? RhoA, RhoB, RhoC, and cell motility. Exp Cell Res. 2004, 301: 43-49. 10.1016/j.yexcr.2004.08.012.

    CAS  Article  PubMed  Google Scholar 

  83. Rius C, Smith JD, Almendro N, Langa C, Botella LM, Marchuk DA, Vary CP, Bernabeu C: Cloning of the promoter region of human endoglin, the target gene for hereditary hemorrhagic telangiectasia type 1. Blood. 1998, 92: 4677-4690.

    CAS  PubMed  Google Scholar 

  84. Zheng M, McKeown-Longo PJ: Regulation of HEF1 expression and phosphorylation by TGF-beta 1 and cell adhesion. J Biol Chem. 2002, 277: 39599-39608. 10.1074/jbc.M202263200.

    CAS  Article  PubMed  Google Scholar 

  85. Kumarapeli AR, Wang X: Genetic modification of the heart: chaperones and the cytoskeleton. J Mol Cell Cardiol. 2004, 37: 1097-1109.

    CAS  PubMed  Google Scholar 

  86. Welge-Lussen U, Bloemendal H, Lutjen-Drecoll E: Transforming growth factor-beta: a growth factor inducing alpha B-crystallin expression in ciliary muscle cells. Graefes Arch Clin Exp Ophthalmol. 2000, 238: 993-997. 10.1007/s004170000198.

    CAS  Article  PubMed  Google Scholar 

  87. Zhao X, Ramsey KE, Stephan DA, Russell P: Gene and protein expression changes in human trabecular meshwork cells treated with transforming growth factor-beta. Invest Ophthalmol Vis Sci. 2004, 45: 4023-4034. 10.1167/iovs.04-0535.

    Article  PubMed  Google Scholar 

  88. Battelino T, Miralles F, Krzisnik C, Scharfmann R, Czernichow P: TGF-beta activates genes identified by differential mRNA display in pancreatic rudiments. Pflugers Arch. 2000, 439: R26-8. 10.1007/s004240000078.

    CAS  Article  PubMed  Google Scholar 

  89. Oda T, Ohka S, Nomoto A: Ligand stimulation of CD155alpha inhibits cell adhesion and enhances cell migration in fibroblasts. Biochem Biophys Res Commun. 2004, 319: 1253-1264. 10.1016/j.bbrc.2004.05.111.

    CAS  Article  PubMed  Google Scholar 

  90. Feral CC, Nishiya N, Fenczik CA, Stuhlmann H, Slepak M, Ginsberg MH: CD98hc (SLC3A2) mediates integrin signaling. Proc Natl Acad Sci U S A. 2005, 102: 355-360. 10.1073/pnas.0404852102.

    CAS  Article  PubMed  Google Scholar 

  91. Fang X, Chen T, Tran K, Parker CS: Developmental regulation of the heat shock response by nuclear transport factor karyopherin-alpha3. Development. 2001, 128: 3349-3358.

    CAS  PubMed  Google Scholar 

  92. Zuccato C, Tartari M, Crotti A, Goffredo D, Valenza M, Conti L, Cataudella T, Leavitt BR, Hayden MR, Timmusk T, Rigamonti D, Cattaneo E: Huntingtin interacts with REST/NRSF to modulate the transcription of NRSE-controlled neuronal genes. Nat Genet. 2003, 35: 76-83. 10.1038/ng1219.

    CAS  Article  PubMed  Google Scholar 

  93. Cheong A, Bingham AJ, Li J, Kumar B, Sukumar P, Munsch C, Buckley NJ, Neylon CB, Porter KE, Beech DJ, Wood IC: Downregulated REST transcription factor is a switch enabling critical potassium channel expression and cell proliferation. Mol Cell. 2005, 20: 45-52. 10.1016/j.molcel.2005.08.030.

    CAS  Article  PubMed  Google Scholar 

  94. Steele-Perkins G, Plachez C, Butz KG, Yang G, Bachurski CJ, Kinsman SL, Litwack ED, Richards LJ, Gronostajski RM: The transcription factor gene Nfib is essential for both lung maturation and brain development. Mol Cell Biol. 2005, 25: 685-698. 10.1128/MCB.25.2.685-698.2005.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  95. Richardson KS, Zundel W: The emerging role of the COP9 signalosome in cancer. Mol Cancer Res. 2005, 3: 645-653. 10.1158/1541-7786.MCR-05-0233.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

Pre-publication history

Download references

Acknowledgements

This work was supported by NIH Grant 5R01-HL49171-13 (to D.A.M.), by the British Heart Foundation (project grant no.PG/02/100/14280) (to J.G.) and by the ZAF-Biotechnologie Zukunftsoffensive Baden-Württemberg, Germany (to A.L., M.H.).

Author information

Authors and Affiliations

  1. University Hospital Mannheim, 68167 Mannheim, University of Applied Sciences Mannheim, Windeckstr. 110, 68163, Mannheim, Germany

    Andreas Lux

  2. Institute of Molecular and Cell Biology, University of Applied Sciences Mannheim, Windeckstr. 110, 68163, Mannheim, Germany

    Andreas Lux & Mathias Hafner

  3. Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, M13 9PT, UK

    Fiona Salway & Philip JR Day

  4. Department of Molecular Genetics and Microbiology, DUMC, Durham, NC, 27710, USA

    Holly K Dressman & Douglas A Marchuk

  5. Duke Institute for Genome Sciences and Policy, DUMC, Durham, NC, 27710, USA

    Holly K Dressman

  6. PROGEN Biotechnik GmbH, Maasstr. 30, 69123, Heidelberg, Germany

    Gabriele Kröner-Lux

  7. Manchester Cardiovascular Research Group, University of Manchester, Department of Medicine, M13 9WL, UK

    John Garland

Authors
  1. Andreas Lux
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fiona Salway
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Holly K Dressman
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Gabriele Kröner-Lux
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Mathias Hafner
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Philip JR Day
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Douglas A Marchuk
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. John Garland
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Andreas Lux.

Additional information

Competing interests

The author(s) declare that they have no competing interests.

Authors' contributions

AL conceived, designed, coordinated and participated in the experiments of the study and drafted the manuscript. FS carried out the qRT-PCR and statistical analysis, HKD carried out the Affymetrix GeneChip™ experiments and statistical analysis, GK-L generated the recombinant Adenoviruses, MH participated in the coordination of the study and helped to draft the manuscript, PJRD participated in the coordination of the qRT-PCR and helped to draft the manuscript, DAM participated in the design and coordination of the study, JG participated in the design and coordination of the study and helped to draft the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Authors’ original file for figure 3

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Lux, A., Salway, F., Dressman, H.K. et al. ALK1 signalling analysis identifies angiogenesis related genes and reveals disparity between TGF-β and constitutively active receptor induced gene expression. BMC Cardiovasc Disord 6, 13 (2006). https://doi.org/10.1186/1471-2261-6-13

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2261-6-13

Keywords

  • Gene Array
  • Recombinant Adenovirus
  • Hereditary Hemorrhagic Telangiectasia
  • Hereditary Haemorrhagic Telangiectasia
  • Hereditary Hemorrhagic Telangiectasia Patient

BMC Cardiovascular Disorders

ISSN: 1471-2261

Contact us