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ORIGINAL ARTICLE-CHARACTERIZATION SERIES |
a Cellartis AB, Göteborg, Sweden;
b TATAA Biocenter, Lundberg Laboratory, Göteborg, Sweden;
c Cellular Neurobiology Branch, National Institute on Drug Abuse, Department of Health and Human Services, Baltimore, Maryland, USA;
d Laboratory of Neurosciences, National Institute of Aging, Department of Health and Human Services, Baltimore, Maryland, USA;
e Section of Endocrinology, Lund University, Lund, Sweden
Key Words. Human embryonic stem cell • Differentiation • Real-time polymerase chain reaction • Gene expression
Correspondence: Peter Sartipy, Ph.D., Cellartis AB, Arvid Wallgrens Backe 20, 413 46 Göteborg, Sweden. Telephone: 46-(0)31-7580930; Fax: 46-(0)31-7580910; e-mail: peter.sartipy{at}cellartis.com
| ABSTRACT |
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-fetoprotein. We evaluated the method using different hESC lines maintained in either feeder-dependent or feeder-free culture conditions. The QPCR method is very flexible, and by appropriately selecting reporter genes, the method can be designed for various applications. The combination of QPCR with hESC-based technologies opens novel avenues for high-throughput analysis of hESCs in, for example, pharmacological and cytotoxicity screening.
| INTRODUCTION |
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To maintain hESCs in an undifferentiated state in vitro, the cells are usually cultured on top of a feeder layer obtained either from animal [13, 5] or human sources [913]. In addition, feeder-free conditions for hESC culture have also been reported [14, 15]. Furthermore, efficient propagation of undifferentiated hESCs is also critically dependent on timely passaging of the cells. Normally, this time interval is between 47 days, depending on the culture conditions [3, 5, 14]. Despite controlled and standardized culture conditions, hESCs may undergo spontaneous differentiation during in vitro propagation. Differentiating hESCs can be identified based on changes in the morphology of the cells, their downregulation of expression of stem cellspecific markers, and concomitant upregulation of markers for differentiated cell types [16, 17]. Consequently, visual inspection of hESC colonies in concert with immunohistochemical evaluation of the cells is instrumental for quality control of hESC cultures. Furthermore, various labor-intensive and time-consuming tests can be performed in vitro and in vivo to demonstrate the pluripotency of hESCs [1, 2, 18].
Gene-expression analysis of hESCs is a valuable complement to the approaches indicated above. Global gene-expression profiling has been performed by several independent investigators using a variety of hESC lines in attempts to define a set of universal "stemness" genes [1926]. Although some progress in defining genes associated with the pluripotent state has been made, based on the results from these studies it is obvious that there are indeed substantial differences in the gene-expression profiles between individual hESC lines. This is, however, not surprising since all hESC lines are derived from different embryos, each representing a unique genetic background. In addition, the differences in culture conditions used by the various laboratories obscure the interpretation of the data. Thus, the list of genes that can be considered as common molecular markers for undifferentiated hESC is currently relatively short, and among them are the transcription factors Oct-4 and Nanog [2729]. On the other hand, derivatives of hESCs can be identified by a number of genes that are expressed exclusively by differentiated cells.
The future use of hESCs in drug development and for in vitro toxicity testing will require sensitive and quantitative methods for determination of the differentiation state of the cells. Importantly, these assays should be possible to implement in high-throughput analysis. Quantitative real-time polymerase chain reaction (QPCR) fits these requirements and has emerged as a very attractive large-scale screening technique [30].
Here we describe an approach, based on QPCR, for the quantitative evaluation of differentiating hESCs. By measuring the relative mRNA levels of Oct-4, Nanog, Cripto, and
-fetoprotein (AFP) in the same hESC sample and combining these values into an expression index, it is possible to discriminate between undifferentiated hESCs and their early derivatives. We evaluated the method using several independent hESC lines maintained in feeder-dependent and feeder-free conditions and demonstrated that the method is very robust and generally applicable for all cell lines tested. The combination of QPCR and hESC technologies provides novel opportunities for high-throughput analysis of hESCs.
| MATERIALS AND METHODS |
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hESCs Maintained on Feeder Layers The hESC lines SA001, SA002, AS034, AS034.1, SA121, SA181, and SA202 were established as described [5] and maintained at Cellartis AB (Göteborg, Sweden, http://www.cellartis.com) using mitomycin-C inactivated mouse embryonic fibroblast (MEF) feeder layers and VitroHESTM medium (Vitrolife AB, Kungsbacka, Sweden, http://www.vitrolife.com) supplemented with 4 ng/ml human recombinant basic fibroblast growth factor (hrbFGF). Undifferentiated hESCs were passaged every 45 days with fresh medium and MEF by mechanical dissociation using a "Stem Cell Tool" (Swemed Lab International AB, Billdal, Sweden, http://www.swemed.com).
Spontaneously differentiating hESC cultures were obtained by maintaining the hESCs on the feeder layers for up to 24 days without passaging of the cells. Medium change was performed every 23 days. For subsequent analyses, the hESCs were either fixed for immunohistochemical evaluation or rapidly harvested by mechanical dissociation and frozen at 80°C for RNA extraction.
Feeder-Free Culture of hESCs The hESC lines BG01, BG02, and BG03 were cultured in laboratories at the Cellular Neurobiology Branch (National Institutes of Health [NIH]) as described elsewhere [4, 31] with minor modifications. For feeder-free culture, the cells were maintained in MEF-conditioned hESC-medium (Dulbeccos modified Eagles medium/F12, 1:1 supplemented with 20% knockout serum replacement, 2 mM nonessential amino acids, 2 mM L-glutamine, 50 µg/ml Penn-Strep, 0.1 mM ß-mercaptoethanol, and 4 ng/ml of bFGF). The hESCs were cultured on fibronectin-coated plates and passaged using EDTA-free trypsin.
Spontaneously differentiated hESC cultures were obtained by dissociating the feeder freemaintained hESCs into small clumps with EDTA-free trypsin and transferring the cells to cultures using medium similar to hESC-medium except that 20% fetal bovine serum and 2 ng/ml bFGF were used. Medium change was performed every second day. The cells were harvested for subsequent RNA extraction after 5, 7, 9, 11, and 15 days of differentiation.
Immunohistochemistry
Undifferentiated and spontaneously differentiated hESCs maintained on MEF were fixed in 4% paraformaldehyde. After permeabilization and blocking, the cells were incubated for 20 hours at 4°C with primary antibodies directed against the following antigens (final antibody concentration indicated within parentheses): SSEA-1 (1 µg/ml), SSEA-3 (1 µg/ml), SSEA-4 (1 µg/ml), TRA-1-60 (1 µg/ml), TRA-1-81 (1 µg/ml), Oct-4 (1 µg/ml), Nanog (0.4 µg/ml), and AFP (1 µg/ml). Anti-Nanog was from R&D Systems (Minneapolis, http://www.rndsystems.com), anti-AFP was from Sigma-Aldrich (St. Louis, http://www.sigmaaldrich.com), and all other antibodies were from Santa Cruz Biotechnology (Santa Cruz, CA, http://www.scbt.com). Negative controls were included in which the primary antibodies were omitted. Fluorescein isothiocyanate or Cy-3conjugated secondary antibodies and 4,6-diamidino-2-phenylindole were used for detection of the primary antibodies and for nuclei staining, respectively. The stained hESC cultures were mounted and visually inspected in an inverted fluorescence microscope. For semiquantitative evaluation, an hESC colony was scored as positive if greater than 50% of the cells within the colony were stained by the antibody used.
Separation of SSEA-4Positive and Negative hESCs
hESCs maintained on MEF for 7 days without passaging were dissociated into a single-cell suspension in 0.5 mM EDTA for 30 minutes and resuspended in 0.1% bovine serum albumin in phosphate-buffered saline to a final concentration of 100,000 cells per ml. Magnetic Dynabeads (CELLection Pan Mouse IgG; Dynal Biotech, Oslo, Norway, http://www.dynal.no) were coated with anti-SSEA-4 antibodies (Santa Cruz Biotechnology) following the instructions from the manufacturer and subsequently incubated for 1 hour at 4°C with the cell suspension at a cell-to-bead ratio of 1:25. The SSEA-4positive cells that bound to the beads were separated from the nonbound cell population by placing the tube in a magnetic holder. The SSEA-4positive and negative cell fractions were collected and frozen at 80°C until used for RNA extraction.
RNA Extraction and Reverse Transcription
Extraction of total RNA from undifferentiated and differentiating hESCs maintained on MEF was performed using RNeasy Mini Kit (Qiagen, Hilden, Germany, http://www1.qiagen.com) according to the manufacturers instructions. DNase treatment was performed on-column using RNase-free DNase Kit (Qiagen).
Extraction of total RNA from undifferentiated and differentiating feeder freemaintained hESCs was performed using RNA STAT-60 (Tel-Test Inc., Friendswood, TX, http://www.isotexdiagnostics.com) according to the manufacturers recommendations.
Reverse transcription was performed using 1 µg of total RNA in a final volume of 20 µl, using iScript First Strand Synthesis Kit (Bio-Rad Laboratories, Hercules, CA, http://www.bio-rad.com) and a Rotorgene 3000 (Corbett Research, Sydney, Australia, http://www.corbettresearch.com). Each RNA sample was reverse-transcribed in duplicate, and appropriate negative controls were included in each run.
QPCR
Gene-specific primer pairs were designed and evaluated for an annealing temperature of 60°C using freely available Web-based software (Primer3, Netprimer, Beacon Designer 2.1, mFold, and Oligonucleotide Properties Calculator). Primers were designed for the following genes: POU5F1 (Oct-4), NANOG, Cripto (TDGF1), DNMT3B, SOX-2, GDF-3, Lin28, OC90, AFP, Nestin, Desmin, and ß-III-tubulin. The optimized assays, including reference material, are available from TATAA Biocenter (Göteborg, Sweden, http://www.tataa.com).
PCR conditions were optimized and standard curves were generated as described elsewhere [32]. All QPCRs were performed with SYBR Green I chemistry in a Rotorgene 3000. The authenticity of the PCR products was verified by melt-curve analysis and agarosegel electrophoresis.
For QPCRs, 1x Jump Start Buffer x10 (Sigma-Aldrich), 3 mM MgCl2 (Sigma-Aldrich), 0.3 mM dNTP mix (Sigma-Aldrich), 0.4x SYBR Green (Molecular Probes, Inc., Eugene, OR, http://probes.invitrogen.com), 0.4 µM forward primer (MWG Biotech, Ebersberg, Germany, http://www.mwg-biotech.com), 0.4 µM reverse primer (MWG Biotech), 0.04 U/µl Jump Start taq polymerase (Sigma-Aldrich), and 2 µl cDNA template were used in a final volume of 20 µl. After an initial denaturation/activation step of 3 minutes at 95°C followed 45 cycles of 20 seconds at 95°C, 20 seconds at 60°C, and 20 seconds at 72°C. The detection of fluorescent signal was performed at 72°C in each cycle. Ct (threshold cycle) values were calculated using the Rotorgene software.
Quantification of Gene Expression Using QPCR
Quantification of gene expression was based on the Ct value for each sample. The Ct values were calculated as the average of duplicate measurements. A mathematical model, previously described in detail [32], was used to determine the expression ratio of two or more genes. The general mathematical formula to calculate an expression index, based on the geometric average of several reporter genes, is given by (Equation 1):
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E is the PCR efficiency, Ct is the threshold cycle, and n and (m-n) are the numbers of genes that are up- and downregulated, respectively, upon differentiation of hESCs. The PCR efficiencies were evaluated from dilution series of purified PCR products [32]. KRS is the relative sensitivity constant that, among other things, accounts for the differences in the fragment lengths of templates. It did not affect relative comparisons of samples and was not determined.
| RESULTS |
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Quantifying the Differentiation State of hESCs
To obtain a quantitative measure of the relative level of differentiation of the hESCs, the mathematical model (Equation 1) described in Materials and Methods was applied. The input in the equation is the Ct value for each individual reporter gene and the corresponding PCR efficiency, and the output is an index based on the geometric averages between the mRNA levels of down- and upregulated genes. By including several genes, the assay becomes very robust, while maintaining a high precision, and less sensitive to minor fluctuations in the expression levels of the individual genes. Figure 4
shows the calculated expression indexes from the QPCR analyses of hESCs maintained on MEF. For the five cell lines tested, the expression indexes ranged between 150 and 350 for undifferentiated hESCs (day 45) and between 0.6 and 10 for differentiating hESCs at day 14. In differentiated progenies from hESCs at day 21, the expression indexes were further decreased and ranged between 0.05 and 2. The quantitatively most striking changes in the expression indexes occurred during the first week of differentiation. The fold changes observed in the expression indexes were between 26 and 415 when comparing cells at day 5 and 14, and the fold changes ranged between 1.2 and 15 when comparing cells at days 14 and 21.
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| DISCUSSION |
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The genes included in the assay were selected from a number of genes previously reported to be down- or upregulated in differentiating hESCs [21, 24, 2729, 36, 37]. It is clear that other genes can also prove useful as makers for hESCs and their derivatives. For example, similar to other reports, we found DNMT3B significantly downregulated in differentiating hESCs maintained on MEF (data not shown) [24, 37]. However, we did not observe the corresponding change in the expression of DNMT3B in the hESC lines maintained in feeder-free conditions. In these cells, the mRNA levels of DNMT3B were not significantly altered during the differentiation process. Thus, DNMT3B did not fit our criteria for QPCR reporter genes for hESC differentiation. However, in certain applications and depending on the gene-expression profiles of the specific hESC lines used, genes such as DNMT3B can add sensitivity to the QPCR assay. We selected AFP, which is commonly used as a marker for early endoderm, as a reporter gene for differentiated hESCs. We found this sufficient for the detection of mixed populations of early hESC progenies. Ultimately, reporter genes for each embryonic germ layer could be included.
In its simplest form, the expression index is a ratio of only two reporter genes, one that is upregulated and one downregulated [32]. However, in the context of hESC biology, there is presently little information regarding genes that are directly associated with pluripotency and self-renewal, and so far no single gene is known that is expressed exclusively by pluripotent cells. Instead, investigators are using a battery of genes to identify undifferentiated hESCs. This is an advantage for the QPCR approach described here, because the robustness of the assay increases by the inclusion of more reporter genes. These genes can represent both up- and downregulated genes.
Spontaneous differentiation of the hESCs was achieved in the present study by extended culturing without passaging of the cells [5]. Visual inspection of hESC colonies using light microscopy revealed alterations in the morphology of the cells which occur during the process of differentiation [2]. The initiation of hESC differentiation is usually associated with an increase in the cell size and the cells appear to flatten and separate. In some cases, the cells start to pile up and the colonies become thick and opaque. Furthermore, areas with organized structures can be observed within individual colonies (Fig. 1
). Using immunohistochemistry and specific antibodies directed against known hESC-markers, we strengthened the conclusion that the hESCs underwent differentiation during the extended in vitro culture of the cells. In line with previous reports, we detected downregulation of the expression of SSEA-3, SSEA-4, TRA-1-60, TRA-1-81, Oct-4, and Nanog (Figs. 2
, 3
) [17, 2729]. At the same time, the expression of markers reflecting differentiation (SSEA-1 and AFP) increased [17].
Immunohistochemistry is a very powerful technique, with which it is possible to detect and localize a specific antigen on a single cell. However, the possibility for accurate quantification of expression levels, especially in large-scale analysis, is limited and, at best, semiquantitative. In addition, the analysis normally spans 2 days. The data presented in this study indicate that morphological alterations of the hESC colonies preceded any major changes in the antigen expression of the cells detected by immunohistochemistry and thus, more sensitive methods need to be used to detect the presence of early hESC-derivatives in the cultures. With QPCR, requiring only small amounts of RNA, large numbers of samples can be rapidly tested, and accurate results can be obtained within the same day of sample preparation.
The QPCR method presented here is flexible and by careful selection and validation of the reporter genes, it is possible to tune the assay to fit a wide variety of applications. Here we demonstrate that accurately measured levels of the Oct-4, Nanog, Cripto, and AFP transcripts are clearly sufficient to discriminate between pluripotent hESCs and their spontaneously differentiating progenies. This makes the QPCR method attractive for quality control of hESC cultures during expansion of the cells. In this regard, the method can be spiked with control RNA prepared from undifferentiated and differentiating hESCs, providing a simple approach to compare states of hESCs across laboratories. In addition, the method can be used as read-out system when testing and optimizing novel culture conditions for hESCs. Any adverse effects caused by the changes in growth conditions would be discovered at an early stage, leading to significant time and cost savings. Finally, the QPCR method also fits readily into high-throughput applications in which hESCs provide the platform for the screening of potential effects of chemicals and drugs.
| ACKNOWLEDGMENTS |
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DISCLOSURES
The authors indicate no potential conflicts of interest.
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