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STEM CELL GENETICS AND GENOMICS |
aHubrecht Laboratory, Utrecht, The Netherlands;
bInteruniversity Cardiology Institute of the Netherlands, Utrecht, The Netherlands
Key Words. Human embryonic stem cells • Cardiomyocytes • Microarrays • Transcriptional profiling • Gene expression • Differentiation
Correspondence: Christine Mummery, Ph.D., Hubrecht Laboratory, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands. Telephone: +31-30-2121800; Fax: +31-30-2516464; e-mail: christin{at}niob.knaw.nl
Received January 26, 2006;
accepted for publication April 28, 2006.
First published online in STEM CELLS EXPRESS May 4, 2006.
| ABSTRACT |
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| INTRODUCTION |
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To identify stem cell-specific features and create a molecular signature for "stemness," transcriptional profiling has been carried out on different stem cell populations. Two independent studies first compared the transcriptional profiles of mouse embryonic stem cells (mESCs), mouse neural cells, and hematopoietic stem cells [5, 6]. Although more than 200 stem cell-enriched genes were found, only six genes overlapped between the two studies. Since then, several studies have compared the transcriptomes of mESCs with hESCs [7, 8], multiple hESC lines [913], and undifferentiated hESCs (UH) with differentiated cells in "embryoid bodies" (EBs) [1418]. Although these studies showed that established stem cell markers, such as OCT4, NANOG, TDGF1, and UTF1, were upregulated in UH, other upregulated genes associated with UH showed relatively little overlap. This has been the reason for a recent International Stem Cell Initiative [19] to compare up to 75 cell lines under standard growth conditions using standard assays.
Only one study to date has described the transcriptome of hESCs undergoing directed differentiation specifically to hepatic and neuronal lineages [15]. This is likely due to the relatively poor efficiency of many differentiation protocols. We [2023] and others [22, 23] have described various methods for inducing differentiation of hESCs to cardiomyocytes, which all lead to the characteristic formation of beating cell aggregates. In general, however, the proportion of cardiomyocytes within these aggregates is either low or not determined. Recently, we demonstrated significantly improved cardiomyocyte differentiation by lowering the concentration of fetal calf serum (FCS) [24] in a culture system in which hESCs are cocultured with a visceral endoderm-like cell line, END-2. The number of beating areas in the hESC-END-2 cocultures was 24-fold higher in the absence of FCS than in the presence of 20% FCS and up to 20% of the cells within the aggregates were hESC-derived cardiomyocytes (hESC-CMs). This improved efficiency made it then feasible to study the transcriptome of hESCs differentiating toward the cardiac lineage.
Here, we describe the temporal gene expression profiles of hESCs during their directed differentiation toward cardiomyocytes by whole-genome microarray analysis. mRNA from human fetal heart (HFH) of 16 weeks of gestation (after voluntary abortus provocatis) was included as a reference source, allowing us to compare gene expression profiles of hESC-CMs with that of HFH. By microarray cluster analysis, genes were identified that were enriched in UH, transiently expressed during early differentiation, and associated with mesoderm or endoderm differentiation, or genes were identified that were enriched in hESC-CMs and HFH. The specificity of the candidate genes was confirmed by reverse transcription-polymerase chain reaction (RT-PCR), real-time RT-PCR, and whole-mount in situ hybridization (ISH) on hESC colonies or on hESC-CM-containing aggregates, mouse embryos, and HFHs. This study demonstrates that directed differentiation of hESCs toward cardiomyocytes can be made sufficiently efficient to provide an excellent model for understanding commitment to the mesoderm or endoderm lineage and the early steps in human cardiac cell differentiation. Furthermore, it is an approach to data mining to identify new genes that may be associated with (abnormal) human heart development.
| MATERIALS AND METHODS |
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Primary Human Fetal Cardiomyocytes
Primary tissue was obtained after abortion after individual permission had been obtained by use of standard informed consent procedures and approval of the ethics committee of the University Medical Center, Utrecht. Human fetal hearts (HFHs) (1116 weeks of development) were directly frozen in liquid nitrogen and fixed overnight in 2% paraformaldehyde or perfused by Langendorff's method, followed by culture of cardiac cells. After 4 days in culture, fetal cardiac cells were washed with PBS and collected for RNA isolation.
RNA Isolation and Sample Preparation
Total RNA was isolated using TRIzol (Invitrogen, Carlsbad, CA, http://www.invitrogen.com), following the manufacturers' protocol. The quality of all RNA preparations was confirmed prior to microarray hybridization with an Agilent Bioanalyzer 2100 (Agilent Technologies, Palo Alto, CA, http://www.agilent.com) using the RNA 6000 Nano Labchip kit (Agilent Technologies). Equal amounts of total RNA from UH, all time points from hESC-END-2 differentiation (1, 3, 6, 9, and 12 days), and HFH were combined to create a common reference pool (CRP). All microarray hybridizations were performed against this CRP. The use of a CRP has several advantages. First, by comparing each sample directly to the CRP, it is possible to compare relative gene expression in all other samples. Second, it prevents loss of data for genes that are expressed in one sample but not in another. Third, it is possible to extend the data set at a later date by hybridizing a new sample to the CRP, allowing comparisons for the expression of the whole genome to all other samples. Furthermore, we hybridized UH with 12-day differentiated hESCs and performed dye swap for this experiment.
Probe Preparation and Hybridization of Agilent DNA Microarrays
Agilent 44K Whole Human genome arrays (G4112A; Agilent Technologies) were prepared and hybridized with linearly amplified and labeled total RNA following the manufacturer's protocol. Briefly, probes were prepared from 500 ng of total RNA by linear amplification and cyanine-3 (cy-3) or cyanine-5 (cy-5) labeling of cRNA using an Agilent Low Input Linear Amplification and Labeling kit. cy-3-CTP (10 mM) and cy-5-CTP (10 mM) were obtained from PerkinElmer/NEN (PerkinElmer Life and Analytical Sciences, Boston, http://www.perkinelmer.com). Fluorescent labeled probes were purified using Qiagen RNeasy Mini kit (Qiagen, Hilden, Germany, http://www1.qiagen.com) as described by the manufacturer. Dye incorporation was confirmed using UV spectrophotometer analysis. According to Agilent's ISH Kit Plus protocol, we used 0.75 µg of labeled cRNA per sample for 17 hours of hybridization at 60°C. After the coverslips were removed in 6x sodium chloride/sodium phosphate/EDTA (SSPE) + 0.005% N-laurylsarcosine, the slides were washed in 6x SSPE + 0.005% N-laurylsarcosine for 1 minute, washed in 0.06x SSPE + 0.005% N-laurylsarcosine for 1 minute, and washed in Agilent stabilization and drying solution for 30 seconds. This wash is to delay degradation of cy-5 dye, which is susceptible to ozone and conveniently dries the slides. Arrays were scanned using the Agilent DNA microarray scanner.
Data Analysis/Statistics
DNA microarray images are processed using Feature Extraction software. The processing that Feature Extraction does involves finding the spots, analyzing the spots (pixel population statistics), analyzing the spot population (feature population statistics), background subtraction, dye normalization (combination of linear and locally weighted linear regression), and then calculating ratios from the processed signals with error values and p values. The signal intensity from the red channel (cy-5) is divided by the signal of the green channel (cy-3), and the scale is compressed by applying log to base 10 (log10) for easier visualization. Luminator from Rosetta Biosoftware (Seattle, http://www.rosettabio.com) was used to analyze the microarray data by clustering using an agglomerative algorithm, trending, and comparing profiles at a p value of
0.01. Additional microarray software analysis was performed using Genespring version 7.2 software (Agilent Technologies).
RT-PCR
Total RNA (1 µg) was transcribed by reverse transcriptase (SuperScript II; Invitrogen) and used for PCR using Silverstar DNA polymerase (Eurogentec, Seraing, Belgium, http://www.eurogentec.be). For each PCR, 1 µl of cDNA was used in a reaction volume of 50 µl. The cycling parameters were 94°C for 15 seconds; 58°C for 30 seconds; and 72°C for 45 seconds, for 35 cycles. The PCR cycles were preceded by an initial denaturation of 2 minutes at 94°C and followed by a final extension of 7 minutes at 72°C. Primer sequences for PCR are given in supplementary online Table 1A and 1B. Products were analyzed on ethidium bromide-stained 1.5% agarose gel. Human acidic ribosomal phosphoprotein (hARP) was used as RNA input control. HARP levels did not significantly change during differentiation (data not shown). As a negative control, total RNA was used directly for PCR.
Real-Time qPCR
Real-time PCR was performed according to standard protocols on a MyIQ single-color real-time PCR detection system (Bio-Rad, Hercules, CA, http://www.bio-rad.com). Briefly, 1 µg of total RNA was DNase-treated and transcribed to cDNA. Ten µl of a 1/10 dilution of cDNA was then added to 12.5 µl of the 2x SYBR green PCR master mix (Applied BioSystems, Foster City, CA, http://www.appliedbiosystems.com) and 500 µM of each primer. PCR cycles were 3 minutes at 95°C, followed by 40 cycles of 15 seconds at 95°C, 30 seconds at a specific annealing temperature, and 45 seconds at 72°C. The thermal denaturation protocol was run at the end of PCR to determine the number of products. Samples were run on a 2% agarose gel to confirm the correct size of the PCR products. All reactions were run in triplicate. As negative controls, PCR was performed on water and on RNA without reverse transcription. The cycle number at which the reaction crossed an arbitrarily placed threshold (C
) was determined for each gene. The relative amount of mRNA levels was determined by the formula 2
C
. Relative gene expression was normalized to ARP expression. Primer sequences and annealing temperatures used for real-time PCR are shown in supplementary online Table 2.
In Situ Hybridization
Whole-mount in situ hybridization was performed as described before [25]. Probe template primers were designed with the T3-promoter sequence at the 5' end of the forward primer and T7-promoter at the 5' end of the reverse primer. Digoxigenin-labeled probes were generated using the purified PCR product as a template for probe transcription with either T3 RNA polymerase or T7 RNA polymerase (Promega, Madison, WI, http://www.promega.com). Human and mouse probe template primers are shown in supplementary online Table 3. The T3 promoter sequence was 5'-ATACAATTAACCCTCACTAAAGGG-3'. The T7 promoter sequence was 5'-ATAGGTAATACGACTCACTATAGGGC-3'.
| RESULTS |
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.01 (Rosetta Luminator). Figure 1B shows the number of significantly up- and downregulated genes of all samples during hESC differentiation toward cardiomyocytes and HFH. A steady increase in differentially expressed genes is seen as differentiation proceeds. The relatively high number of downregulated genes in the UH and 1-day samples compared with the CRP is likely due to differentiation being initiated but not yet to distinct lineages. The results of all microarray experiments are provided in supplementary online Data 1A1J.
hESCs Preferentially Differentiate Toward Mesoderm and Endoderm
Previously, we demonstrated that after 12 days of hESC-END-2 coculture, various cell types formed, in addition to cardiomyocytes [21, 24]. The majority of these noncardiomyocytes were positive for Troma-1/cytokeratin 8 [24], expressed in endoderm and trophectoderm. The formation of cardiomyocytes, which are derived from mesoderm, was preceded by transient upregulation of Brachyury T, a marker of nascent mesoderm (Fig. 1C). This suggested that hESCs grown on END-2 cells differentiated preferentially toward mesoderm and endoderm derivatives. This was confirmed by calculating the percentage of tissue-enriched genes that were
3-fold upregulated at 12 days compared directly to UH. Genes were indicated as tissue-enriched according Gene Ontology Tree Machine classifications, representing genes with a p value
1010. Since most genes are significantly expressed in multiple tissues and therefore classified in different tissues, the sum of the percentages of all tissue-enriched genes exceeds 100%. As expected, the highest percentage (62%) was observed for heart-enriched genes (Fig. 1D). In addition, liver (58%) (endoderm-derived) and kidney-enriched (47%) (mesoderm-derived) genes were also highly represented, whereas brain (12%) and skin-enriched (11%) (both ectoderm-derived) genes showed the lowest percentage. Thus hESC-END-2 cocultures differentiate predominantly toward mesoderm and endoderm, with little ectoderm differentiation taking place.
hESC-Enriched Genes
It is to be expected that genes important for maintenance or self-renewal of hESCs would be rapidly downregulated upon differentiation. By cluster analysis, we identified a group of 15 genes (cluster 1a) that displayed rapid downregulation (Fig. 2A, 2B) and included well-established hESC-markers such as OCT4 and NANOG. Other genes in this cluster were TDGF1, GAL, LEFTB, DNMT3B, and SOX2, also described as being enriched in UH [15], indicating that the approach used could identify genes that may be involved in hESC self-renewal. Seven genes in this group were novel with unknown function but with expression trend-lines during differentiation similar to those of OCT4 and NANOG (Fig. 2B). A less restrictive cluster (cluster 1b) with similar downregulating gene patterns identified a group of 145 gene entries with potential roles in self-renewal of hESCs (supplementary online data 2). To verify the microarray results, expression levels of a subset of known and unknown genes from both clusters were examined by RT-PCR in two independent UH and 12-day differentiated samples (Fig. 2C).
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Activated and Repressed Signaling Pathways During hESC Differentiation
The earliest appearance of beating areas in hESC-END-2 cocultures was consistently at 67 days. Before the appearance of beating areas, cells are committed to form cardiomyocytes, and regulatory as well as structural genes are activated. Accordingly, expression of the earliest mesoderm marker Brachyury T is transiently upregulated in 3-day hESC-END-2 cocultures, 3 or 4 days before the onset of beating, as described above. Clustering analysis revealed a group of 25 genes (Table 3, cluster 2a), transiently co-upregulated with Brachyury T on 3 days of hESC-END-2 coculture (Fig. 3A, 3B). Interestingly, in addition to eight unknown genes, the clustered group contained genes shown previously to be important for early embryonic development and for mesoderm formation in particular. The Notch signaling pathway, with ligands
-like 1 (DLL) and DLL3, upregulated at 3 days, has pleiotropic functions during development, including a role in differentiation of paraxial mesoderm, which later gives rise to skeletal muscle [26, 27]. The WNT family plays an important role in early embryogenesis. Dickkopf-1 (DKK1), an inhibitor of canonical (ß-catenin-dependent) WNT signaling has been demonstrated to induce cardiomyocyte differentiation [28, 29]. For Wnt3A, both inducing [29] and inhibiting effects [30] on cardiomyocyte differentiation have been described. Other genes in this cluster were the transcription factors FOXC1 and MESP1 and the transcriptional repressor SNAI1, which are all expressed in mesoderm and important for cardiac development. The majority of these genes also play roles in epithelial-mesenchymal-transformation (EMT), important for many processes during development, including that of the heart. The transient expression of these genes during differentiation was confirmed by quantitative real-time PCR (Fig. 3C). Interestingly, for DKK1, WNT3A, FOXC1, and SNAI1 a biphasic expression pattern was observed with peaks at 3 and 12 days, suggesting a role in both early and late phases of differentiation. A larger cluster with a similar pattern (cluster 2b) is available as supplementary online Data 2. Besides activation of genes involved in mesoderm formation, genes associated with endoderm formation, such as FOXA2 and SOX17, displayed a similar transient upregulation with a peak at 3 days (data not shown).
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The WNT, fibroblast growth factor (FGF), transforming growth factor ß (TGFß), and bone morphogenetic protein (BMP) signaling pathways have been shown to play important roles during embryonic development and early cardiogenesis. The early transient increase of members of the WNT family, DKK1, DKK3, and WNT3a have been discussed above, but other WNT family members, such as FRZ10, LEF1, WNT5A, WNT5B, and WNT11, showed a steady increase in expression during differentiation, whereas secreted FRZ1, FRZ2, Cerberus, WNT8B, FRZ5, and SRY17 were downregulated during differentiation (Fig. 3D). For the TGFß and FGF families, FGF9, FGF receptor 2, TGFß1, TGFß2, TGFß3, SMAD3, TGFß receptor III, and Activin A receptor type I and II were upregulated, whereas nodal, FGF receptor 1, and FGF2 (basic FGF) were downregulated. Interestingly, BMP10, enriched in heart tissue and essential for cardiogenesis in mouse [32], was highly expressed in UH, rapidly downregulated after initiation of differentiation, and increased again at 9 and 12 days. BMP4, also essential for cardiogenesis [33], and BMP5, expressed in cardiac development [34], were increased during differentiation (supplementary online Data 3; supplementary online Fig. 2).
Cardiac-Enriched Genes
Since the number of beating areas are increasing from day 9 to day 12 of differentiation, genes responsible for cardiomyocyte differentiation and function are expected to be upregulated during this time period. As reference source, HFH was used to increase the possibility that upregulated genes may be associated with human cardiac development. A cluster of 18 genes (cluster 4a), upregulated at 9 or 12 days of differentiation and in HFH was identified (Fig. 4A, 4B). This group consisted of known cardiac genes, such as troponin T 2 (TNNT2), myosin light chain 4 (MYL4),
-actinin-2 (ACTN2), and myosin light chain 2B (HUMMLC2B), but also four novel genes and several genes that have been annotated but not previously associated with cardiac development. A larger cluster of 145 gene entries with similar expression pattern (cluster 4b) is represented in supplementary online Data 2. Verification of a subset of the cardiac-enriched genes was performed by RT-PCR (Fig. 4C). Many transcription factors known to play a role in cardiac development were upregulated during differentiation. Real-time RT-PCR for cardiac transcription factors MEF2C, TBX2, and TBX5 demonstrated increased expression at 9 and 12 days of differentiation. By comparison,
-actinin, a sarcomeric protein, was only increased after 12 days of differentiation (Fig. 4D). These data demonstrate distinct molecular regulation during each step of differentiation (Fig. 4E). Furthermore, ISH for a set of the cardiac-enriched genes, including phospholamban and two novel genes annotated as SRD5A2L2 and SYNPO2L (from clusters 4a and 4b), on microdissected beating areas from 12-day hESC-END-2 cocultures showed strong expression (Fig. 5A5C). Expression of these genes was not detected in the nonbeating areas derived from the same hESC-END-2 cocultures. Mouse orthologs were found for both SRD5A2L2 and SYNPO2L and whole-mount ISH on mouse embryos at different development stages showed cardiac-restricted/cardiac-enriched expression in early stages of cardiac development for both genes. At E8.5 and E9.5, SRD5A2L2 was specifically expressed in the sinus venosus, giving rise to the inflow tract, and at lower levels in the ventricle (Fig. 5D5F). SYNPO2L was detected in the heart from E8.5 and in myotomes, which give rise to skeletal muscle, at E10.5 (Fig. 5G5I). In addition, whole-mount ISH on intact HFH (Fig. 5J) or hearts cut in half (Fig. 5K5M) showed that the unknown genes THC2339346, SRD5A2L2, and SYNPO2L were all expressed as the positive control phospholamban in the fetal heart. As in mouse embryos, SRD5A2L2 was detected predominantly in the inflow tract of HFHs.
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| DISCUSSION |
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Previously, we have shown that hESCs in coculture with END-2 cells differentiated predominantly to endoderm and mesoderm derivatives [21, 24]. Here, this was confirmed by microarray analysis with transient expression of the early mesodermal marker brachyury T and the endodermal markers FOX2A and SOX17, peaking after 3 days of differentiation (34 days before the appearance of the first beating areas). Other mesodermal markers or transcription factors, such as SNAI1, MSX1 MESP1, and FOXC1, were transiently upregulated, with peaks at 3 days. The detailed temporal gene profiling of differentiating hESCs presented here may lead to improvements in stepwise directed differentiation toward mesoderm and endoderm-derived cell-types or tissues, if specific signaling pathways are further activated or enhanced at the times indicated.
Many studies have demonstrated the importance of endoderm for the induction of cardiac differentiation [35]. The presence of endoderm as well as mesoderm markers in differentiating hESCs suggests that differentiation to cardiomyocytes in hESC-END-2 cultures may be either direct, by the END-2 cells, and/or indirect, by the formation of endoderm derived from hESCs, inducing adjacent mesodermal cells to become cardiomyocytes.
Proteins from the WNT, TGFß, BMP, and FGF signaling pathways have been implicated in both self-renewal of stem cells as well as cardiac differentiation. Basic FGF, important for self-renewal [36], was rapidly downregulated upon differentiation. DKK1, WNT11, and WNT5A and downstream transcription factor LEF1 increased during differentiation, and all have been shown to play a role in cardiac development. For other factors, such as WNT3A, both cardiac-inducing and cardiac-inhibiting effects have been described [29, 30]. In addition, WNT3A has been suggested to play a role in the self-renewal of stem cells [37], although some controversy surrounds this report. Overall, however, this suggests that the net effect on differentiating cells depends on the state of the cell when targeted; the concentration, duration, or exposure; and the presence of other factors. This was recently shown by Yuasa et al. [38], who demonstrated that the BMP inhibitor Noggin only induced cardiomyocyte differentiation of mESCs when applied in a very narrow time window during ESC culture.
Microarray studies have been performed on mouse P19 embryonal carcinoma cells differentiating to cardiomyocytes and during early mouse cardiogenesis, using an Nkx2.5 enhancer to select cardiac progenitor cells [39]. The human heart, however, is not accessible at the first crucial stages of development, 4 weeks of gestation being the earliest we have obtained when the heart already has four defined chambers. Here, we have described for the first time the transcriptome of hESCs differentiated toward the cardiac lineage. Using HFH as a reference source, we were able to identify genes that were both upregulated during differentiation of hESC-CMs and in HFH. In addition to the presence of known cardiac sarcomeric genes, several unknown genes and genes not previously associated with cardiomyocytes were identified (clusters 4a and 4b). Two of these unknown genes, SRD5A2L2 and SYNPO2L, displayed cardiac expression during mouse embryonic development and in HFHs. In addition, THC2339346, THC1564329, and THC1452070, for which no mouse ortholog could be found, were expressed in HFH. These findings indicate that in vitro differentiation of hESCs as used in this study is a very powerful model for human cardiac development.
Using hESCs as a model for human cardiac development will likely result in the discovery of genes not previously associated with cardiomyocyte differentiation or function and may lead to a better understanding of abnormal cardiac development. Furthermore, improved cardiomyocyte differentiation will lead to a higher production and purer populations of cardiomyocytes, facilitating entry into regenerative medicine for heart patients.
| DISCLOSURES |
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| ACKNOWLEDGMENTS |
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