Stem Cells International

Stem Cells International / 2016 / Article
Special Issue

Biomedical Applications of Dental and Oral-Derived Stem Cells

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Research Article | Open Access

Volume 2016 |Article ID 3453890 | 12 pages | https://doi.org/10.1155/2016/3453890

Genetic Comparison of Stemness of Human Umbilical Cord and Dental Pulp

Academic Editor: Boon C. Heng
Received09 Feb 2016
Accepted03 Mar 2016
Published21 Mar 2016

Abstract

This study focuses on gene expression patterns and functions in human umbilical cord (UC) and dental pulp (DP) containing mesenchymal stem cells (MSCs). DP tissues were collected from 25 permanent premolars. UC tissue samples were obtained from three newborns. Comparative gene profiles were obtained using cDNA microarray analysis and the expression of tooth development-associated and MSC-related genes was assessed by the quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR). Genes related to cell proliferation, angiogenesis, and immune responses were expressed at higher levels in UC, whereas genes related to growth factor and receptor activity and signal transduction were more highly expressed in DP. Although UC and DP tissues exhibited similar expression of surface markers for MSCs, UC showed higher expression of CD29, CD34, CD44, CD73, CD105, CD146, and CD166. qRT-PCR analysis showed that CD146, CD166, and MYC were expressed 18.3, 8.24, and 1.63 times more highly in UC, whereas the expression of CD34 was 2.15 times higher in DP. Immunohistochemical staining revealed significant differences in the expression of genes (DSPP, DMP1, and CALB1) related to odontogenesis and angiogenesis in DP. DP and UC tissue showed similar gene expression, with the usual MSC markers, while they clearly diverged in their differentiation capacity.

1. Introduction

Mesenchymal stem cells (MSCs) have attracted a great deal of interest because of their potential application in regenerative medicine and tissue engineering. MSCs are highly proliferative and adherent fibrotic cells that express characteristic cell surface markers and retain self-renewing capacity with the potential of differentiating into various tissues including bone, muscle, cartilage, fat, and nerve [1]. MSCs may be isolated readily from several tissues such as bone marrow, adipose tissue, and placenta [2]. Although MSCs derived from bone marrow are well characterized, the harvest of stem cells from the bone marrow is a highly invasive procedure with a considerable risk of donor site morbidity.

Recently, potential alternative sources of MSCs and nonaggressive methods for the harvesting of stem cells have been investigated; in particular, the umbilical cord (UC) and dental pulp (DP) show great promise as source tissues because they contain a considerable number of cells with properties similar to those of MSCs [3, 4]. In recent years, UC-MSCs have shown an odontogenic differentiation potential to differentiate into odontoblast-like cells in an odontogenic microenvironment [5].

UC tissue (Wharton’s jelly of human umbilical cord) is considered an ideal source of stem cells with characteristics similar to those of MSCs from bone marrow and adipose tissue, for example, fibroblast morphology, surface protein markers, and potential for differentiation into cells of therapeutic value [6, 7]. UC cells exhibit immunosuppressive capacity and high proliferation rates, which are useful in allogeneic environments [8, 9]. DP, which is thought to be derived from migratory neural crest cells during development, is a source of various populations of multipotent stem cells [10]. Similar to MSCs, dental pulp stem cells (DPSCs) are adherent clonogenic cells with varying capacities for differentiation along mesenchymal or nonmesenchymal lineages [11].

The UC is a potentially valuable source of MSCs as the isolation process is noninvasive and causes no harm to the mother or infant and utilizes material that is usually discarded [12]. In addition, UC tissue is derived from the neonate and is therefore less mature than adult tissues. This lowers the risk of immune reactions during donor transplantation. DPSCs also represent a valuable source of MSCs, as the latter may be obtained with minimal pain and morbidity [13]. Therefore, MSCs derived from the UC and DP are more desirable for stem cell-based therapy than stem cells obtained from conventional sources such as bone marrow.

Despite extensive knowledge of the properties of UC-MSCs and DPSCs, it is still not known whether their properties accurately reflect their true gene expression patterns and developmental potential in situ. The fate of stem cells is regulated by cell-intrinsic determinants and signals within a specialized microenvironment [14]. Therefore, investigation of the genes related to stemness in UC and DP is necessary in order to evaluate the potential value of these tissues as alternative sources of MSCs. In particular, their gene expression patterns must be analyzed to obtain insights into the differentiation capacity of the stem cells and to compare the biological functions of the stemness-related genes in terms of interactions with the microenvironment. In this study, we performed a DNA microarray-based differential gene expression analysis of UC and DP tissues with the aim of comparing the characteristics of MSCs from each type of tissue.

2. Materials and Methods

2.1. Tissue Samples

The experimental protocol was approved by the Institutional Review Board of Yonsei University Dental Hospital (#2-2012-0001) and Severance Hospital (#4-2012-0408). All the subjects or their guardians have provided written informed consent. Pulp samples were obtained from healthy permanent premolars (; from 5 males and 6 females, aged 11–25 years) extracted for orthodontic reasons. The fresh umbilical cord tissues were obtained from three newborns in the Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University. The extracted teeth and umbilical cords were frozen immediately and stored in liquid nitrogen. The pulp tissue was obtained using sterile tweezers and barbed broaches. The UC tissue was sliced at a thickness of 10–14 μm using a cryostat (CM3050S, Leica Biosystems, Newcastle Upon Tyne, UK). Subsequently, the DP and UC tissues were immediately submerged in Buffer RLT, which is a proprietary component of the RNeasy Fibrous Mini Kit® (Qiagen, Valencia, CA, USA).

2.2. RNA Extraction

We used similar study procedures applied by Song et al. [15], Lee et al. [16], and Kim et al. [17]. Total RNA was extracted from DP and UC tissues using the RNeasy Fibrous Mini Kit (Qiagen) according to the manufacturer’s instructions. The extracted RNA was eluted in 25 μL of sterile water. Prior to RNA extraction, tissues were homogenized using a Bullet Blender® Bead (Next Advanced, Averill Park, NY, USA). RNA concentrations were determined from absorbance values at a wavelength of 260 nm using a spectrophotometer (Nanodrop ND-1000®, Thermo Scientific, Waltham, MA, USA). RNA samples used in this study had 260/280 nm ratios equal to or greater than 1.8.

2.3. cDNA Microarray

Global gene expression analyses were performed using GeneChip® Human Gene 1.0 ST oligonucleotide arrays (Affymetrix, Santa Clara, CA, USA). The average amount of RNA isolated from DP and UC tissues was 1 μg. Total RNA was isolated using the RNeasy Fibrous Mini Kit columns as described by the manufacturer (Qiagen). RNA quality was assessed using the Agilent 2100 Bioanalyzer with an RNA 6000 Nano Chip® (Agilent Technologies, Amstelveen, Netherlands). RNA quantity was determined using the Nanodrop ND-1000. Each RNA sample was subjected to global gene expression analysis according to the manufacturer’s protocol (http://www.affymetrix.com/). Briefly, 300 ng of total RNA from each sample was converted to double-stranded cDNA. Using a random hexamer incorporating a T7 promoter, amplified RNA (cRNA) was generated from the double-stranded cDNA template via an in vitro transcription reaction and was purified using the Affymetrix sample cleanup module. cDNA was generated by random-primer reverse transcription using a dNTP mix containing dUTP. The cDNA was then fragmented using the restriction endonucleases uracil-DNA glycosylase and human apurinic/apyrimidinic endonuclease. Next, the fragmented cDNA was end-labeled via a terminal transferase reaction incorporating a biotinylated dideoxynucleotide. Fragmented end-labeled cDNA was hybridized to the GeneChip Human Gene 1.0 ST array for 16 h at 45°C and 60 rpm as described in the GeneChip Whole Transcript Sense Target Labeling Assay Manual (Affymetrix). After hybridization, the chips were stained and washed in a GeneChip Fluidics Station 450 and scanned using a GeneChip Array scanner 3000 G7 (Affymetrix). The image data were extracted using Command Console software 1.1 (Affymetrix) and a raw file containing the expression intensity data was generated and used for the next step. This microarray data set was approved by the Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/); the GEO accession numbers of the data set are GSE75642 (umbilical cord) and GSE75644 (dental pulp).

2.4. Gene Ontology Analysis

Expression data were generated using Expression Console software version 1.1 (Affymetrix). For normalization, the Robust Multiarray Average algorithm of the Expression Console software was used. In order to determine whether genes were differentially expressed in the three groups, a one-way ANOVA was performed on the Robust Multiarray Average expression values. A multiple testing correction was applied to the values of the -statistics to adjust the false discovery rate. Genes with adjusted -statistic values < 0.05 were extracted. Highly expressed genes that showed over 2-fold differences between the signal values in the control and each test group were selected for further investigation. In order to classify the coexpression gene group with a similar expression pattern, we performed hierarchical and -mean clustering using MultiExperiment Viewer software 4.4 (http://www.tm4.org/, Dana-Farber Cancer Institute, Boston, MA, USA). The web-based tool, DAVID (the Database for Annotation, Visualization, and Integrated Discovery), was used for biological interpretation of differentially expressed genes. Subsequently, these genes were classified based on their function according to the KEGG Pathway database (https://david.ncifcrf.gov/home.jsp).

2.5. Quantitative Reverse Transcription Polymerase Chain Reaction

The single-stranded cDNA required in the PCR analysis step was produced using 500 ng of extracted total RNA as a template for reverse transcription (Superscript III Reverse Transcriptase and Random Primer, Invitrogen, Paisley, UK). The reverse transcription reaction was performed at 65°C for 5 minutes, followed by 25°C for 5 minutes, 50°C for 1 hour, and 70°C for 15 minutes to inactivate the reverse transcriptase. The synthesized cDNA was diluted 10 : 1 in distilled water and used as a template for qRT-PCR, which was performed using the ABI7300 RT-PCR system (Applied Biosystems, Warrington, UK). Samples of 25 μL containing 1x Universal TaqMan Master Mix (4369016, Applied Biosystems), PCR primers at a concentration of 0.9 μM, and the diluted cDNA were prepared in triplicate. The amplification conditions were 50°C for 2 minutes and 95°C for 10 minutes followed by 40 cycles of 95°C for 15 seconds and 60°C for 1 minute. TaqMan gene expression assay primers (Applied Biosystems) were used. The primers for each gene are listed in Table 1. ABI 7300 SDS 1.3.1 software (Applied Biosystems) was used to record the fluorescence intensity of the reporter and quencher dyes. Fluorescence intensity values were plotted against time and quantified as the cycle number. A precise quantification of the initial target was obtained by examining the amplification plots during the early log phase of product accumulation above background (the threshold cycle (Ct) number). Ct values were subsequently used to determine ΔCt values (ΔCt = Ct of the gene minus Ct of the 18S rRNA gene control), and differences in Ct values were used to quantify the relative amount of PCR product, expressed as the relative change by applying the equation . The specific primer assay ID and product sizes for each gene are listed in Table 1.


Gene symbolGene descriptionAssay IDAmplicon length

AMBNAmeloblastin (enamel matrix protein)Hs00212970_m161
ALCAM (CD166)Activated leukocyte cell adhesion moleculeHs00977641_m1103
CALB1Calbindin 1Hs00191821_m190
CD34CD34 moleculeHs00990732_m191
DMP1Dentin matrix acidic phosphoprotein 1Hs01009391_g1106
DSPPDentin sialophosphoproteinHs00171962_m167
MCAM (CD146)Melanoma cell adhesion moleculeHs00174838_m177
MYCc-MycHs00153408_m1107
18S18S rRNAHs03003631_g169

2.6. Immunohistochemical Staining

For IHC staining, tissues from permanent teeth and the UC were fixed in 10% buffered formalin (Sigma-Aldrich, St. Louis, MO, USA) for 1 day. Permanent teeth were decalcified using 10% EDTA (pH 7.4; Thermo Fisher Scientific, Houston, TX, USA) for 8 weeks. The permanent teeth and UC tissues were embedded in paraffin and sectioned at a thickness of 3 μm. Specimens were subjected to IHC staining with antibodies against DSPP (rabbit polyclonal, diluted 1 : 1500; sc-33586, Santa Cruz Biotechnology, Santa Cruz, CA, USA), DMP1 (rabbit polyclonal, diluted 1 : 100; Ab82351, Abcam), CALB1 (rabbit polyclonal, diluted 1 : 400; Ab25085, Abcam), and CD146 (MCAM, rabbit polyclonal, diluted 1 : 400; Ab75769, Abcam). Endogenous peroxidase activity was quenched by the addition of 3% hydrogen peroxide. Sections were incubated in 5% bovine serum albumin to block nonspecific binding. The primary antibodies were diluted to obtain optimal staining and sections were incubated overnight. After incubation, the EnVision+ System-HRP Labeled Polymer Anti-Rabbit kit (K4003, Dako, Carpinteria, CA, USA; ready to use) was applied for 20 minutes. Color development was performed using labeled streptavidin biotin kits (Dako) according to the manufacturer’s instructions. The sections were counterstained with Gill’s hematoxylin (Sigma-Aldrich). Control sections were treated in the same manner but without primary antibodies.

3. Results

3.1. Gene Expression Profiles of UC and DP Tissues

Complementary DNA microarray technology was used to compare multiple gene expression profiles representative of DP and UC tissues. In order to investigate these differentially expressed genes further, data with a more stringent threshold of 3-fold differential expression were filtered to ensure biological significance. The results indicated that 1,957 out of 33,297 (5.88%) genes exhibited an absolute expression change at least 3-fold. The expression levels of 988 genes were 3-fold higher in the UC than in DP tissues, while the expression levels of 969 genes were at least 3-fold higher in DP than in UC tissues. The data were further filtered, and the genes are listed in Tables 2 and 3 according to their biological functions.


Functional categoryGene symbolBiological processAccession numberAbsolute fold change

Embryonic developmentDLK1Embryonic skeletal system developmentNM_00383656.86
DKK1Embryonic limb morphogenesisNM_01224244.51
SCELEpidermis development, embryo developmentNM_14477733.26
TBX18Morphogenesis of embryonic epitheliumNM_00108050815.66
HOXD10Embryonic skeletal system morphogenesisNM_00214812.03
TBX20Embryonic heart tube developmentNM_00107765311.71
HOXC10Embryonic limb morphogenesisNM_0174098.70
HOXC6Embryonic skeletal system developmentNM_0045037.22
HAND2In utero embryonic developmentNM_0219736.54
HOXA6Embryonic skeletal system morphogenesisNM_0240145.50
EDN1In utero embryonic developmentNM_0019555.35
WNT4Embryonic epithelial tube formationNM_0307614.31
GATA6In utero embryonic developmentNM_0052574.17
TGFB1I1Morphogenesis of embryonic epitheliumNM_0010424544.13
TGFB3In utero embryonic developmentNM_0032393.85
SOX5In utero embryonic developmentNM_1529893.70

Developmental processDESCytoskeleton organizationNM_00192766.18
KRT6AEctoderm developmentNM_00555427.69
KRT5Epidermis developmentNM_00042422.73
KRT13Epidermis development, tongue morphogenesisNM_15349022.53
COL12A1Skeletal system development, collagen fibril organizationNM_00437017.87
DKK2Multicellular organismal developmentNM_01442112.63
TAGLNMuscle organ developmentNM_00100152211.91
KRT8Cytoskeleton organizationNM_00227311.04
KRT14Epidermis developmentNM_0005269.01
OSTNOssification, multicellular organismal developmentNM_1981848.22
MCAMAnatomical structure morphogenesisNM_0065007.22
IGF2BP3Anatomical structure morphogenesisNM_0065477.10
ADAM19Fertilization, muscle development, neurogenesisNM_0332746.41
MGPCartilage condensation, ossificationNM_0011908395.70
DMDMuscle organ development, skeletal muscle tissue developmentNM_0001095.22
PITX2Multicellular organismal developmentNM_1534264.79

Physiological processACTG2Muscle contractionNM_001615115.24
HBG1TransportNM_000559101.65
PLNCellular calcium ion homeostasis, blood circulationNM_00266771.69
CNN1Regulation of smooth muscle contractionNM_00129966.37
HBBRegulation of blood pressure, oxygen transportNM_00051838.48
FGF10AngiogenesisNM_00446531.24
COL8A1AngiogenesisNM_00185012.02
AHSPHemoglobin metabolic process, hematopoiesisNM_0166337.18
FGF9Angiogenesis, osteoblast differentiationNM_0020105.07
PDGFAAngiogenesis, response to hypoxiaNM_0026075.00
ELNRespiratory gaseous exchange, blood circulationNM_0005014.75
EGFAngiogenesis, positive regulation of cell proliferationNM_0019634.30
IL18Angiogenesis, response to hypoxiaNM_0015623.85
VEGFAAngiogenesis, ovarian follicle developmentNM_0010253663.16

Signal transduction and regulationPRLRCell surface receptor linked signaling pathwayNM_00094990.61
RASSF3Signal transductionNM_17816912.27
RERGGTPase mediated signal transductionNM_03291811.98
STC2Cell surface receptor linked signaling pathwayNM_00371411.37
CD244Signal transductionNM_0163828.83
ASPNNegative regulation of transforming growth factor beta receptor signaling pathwayNM_0176808.20
LPHN3G-protein coupled receptor protein signaling pathwayNM_0152367.72
SPSB1Intracellular signaling pathwayNM_0251066.87
ALCAMSignal transduction, motor axon guidanceNM_0016273.96

Cell regulation and proliferationUPK1BEpithelial cell differentiationNM_00695245.66
MYOCDCardiac cell differentiationNM_00114631240.32
EGFL6Cell differentiationNM_01550711.94
PODNNegative regulation of cell proliferationNM_1537039.96
FASPositive regulation of necrotic cell deathNM_0000439.34
KRT4Epithelial cell differentiation, negative regulation of epithelial cell proliferationNM_0022726.52
IGFBP7Regulation of cell growthNM_0015536.01
HEMGNCell differentiation, regulation of osteoblast differentiationNM_0184375.70
CDH1Trophectodermal cell differentiationNM_0043605.44
DPTCell adhesion, negative regulation of cell proliferationNM_0019375.13

Cytokine, chemokine, and immune responseIL1RL1Immune responseNM_01623236.22
S100A8Chemotaxis, inflammatory responseNM_00296426.48
DPP4Regulation of T cell mediated immunityNM_00193518.16
ITGB6Inflammatory responseNM_00088815.01
IGF2BP1Regulation of cytokine biosynthetic processNM_0065469.59
LY96Inflammatory response, cellular defense responseNM_0153648.40
CCRL1Chemotaxis, immune responseNM_1784457.81
ANLNCytokinesisNM_0186857.60
CMKLR1Chemotaxis, immune responseNM_0011423437.41
CD97Inflammatory response, immune responseNM_0784816.96
CXCL1Chemotaxis, inflammatory response, immune responseNM_0015115.54
IL33Positive regulation of macrophage activationNM_0334395.29
CXCR1Chemotaxis, inflammatory responseNM_0006343.48
CXCL6Chemotaxis, inflammatory responseNM_0029933.07


Functional categoryGene symbolBiological processAccession numberAbsolute fold change

Biomineral tissue developmentPHEXBone and dentin mineralizationNM_000444160.01
DMP1Bone and dentin mineralizationNM_00440799.20
CALB1Hydroxyapatite formationNM_00492998.07
MMP20Regulation of enamel mineralization, proteolysisNM_00477185.26
AMBNBone mineralization, odontogenesis of dentine-containing toothNM_01651965.69
DSPPOdontogenesis of dentine-containing toothNM_01420841.26
ALPLBiomineral tissue developmentNM_00047814.83
DLX1Odontogenesis of dentine-containing toothNM_1781209.55
LHX8Odontogenesis of dentine-containing toothNM_0010019337.56
CA2Odontogenesis of dentine-containing toothNM_0000677.07
RUNX2Ossification, osteoblast differentiationNM_0010246306.53
LEF1Odontogenesis of dentine-containing toothNM_0162696.24
PAX9Tooth developmentNM_0061945.79
MSX1Odontogenesis, craniofacial developmentNM_0024484.04
WNT10ARegulation of odontogenesis of dentine-containing toothNM_0252163.87

Developmental processDLX5Osteoblast differentiationNM_00522130.01
DLX3Multicellular organismal developmentNM_00522026.13
ADAM22Proteolysis, central nervous system developmentNM_02172325.00
NESCentral nervous system developmentNM_00661715.67
BMP7Ossification, organ morphogenesisNM_00171915.60
BMPR1BSkeletal system development, cartilage condensationNM_00120313.53
MSX2Skeletal system development, osteoblast differentiationNM_0024499.32
COL11A2Skeletal system morphogenesis, cartilage development, palate developmentNM_0011637718.55
BMP5Skeletal system development, ossificationNM_0210736.08
TBX3Blood vessel development, in utero embryonic developmentNM_0165695.93
MBPCentral nervous system development, myelinationNM_0010251014.95
DLX6Multicellular organismal development, nervous system developmentNM_0052224.12
NRCAMAxonogenesis, central nervous system developmentNM_0011935824.09
SNAI1Osteoblast differentiation, mesoderm formationNM_0059853.78
HLFMulticellular organismal development, rhythmic processNM_0021263.23
BMP2Development of bone and cartilageNM_0012002.11

Physiological processTFControlling iron concentrations, erythropoiesisNM_001063153.98
SCN7ASodium ion transport, muscle contractionNM_00297682.36
APODLipid metabolic processNM_00164741.22
PLATResponse to hypoxia, blood coagulationNM_00093010.20
CD52Elevation of cytosolic calcium ion concentrationNM_0018034.29
CYGBResponse to oxidative stress, oxygen transportNM_1342683.98
MYOTMuscle contractionNM_0067903.26

Signal transduction and regulationWIF1Wnt receptor signaling pathwayNM_00719170.19
PTNTransmembrane receptor protein signaling pathwayNM_00282538.17
WNT5AOncogenesis, embryogenesisNM_00339213.68
NCAM1Neurite outgrowth, synaptic plasticityNM_1813517.87
NCAM2Neurite outgrowth, synaptic plasticityNM_0045407.38
RASGRF2Induction of apoptosis by extracellular signalsNM_0069096.88
CHN1Signal transductionNM_0018226.56
METCell surface receptor linked signaling pathwayNM_0011275003.01

Cell regulation and proliferationSCINNegative regulation of cell proliferationNM_00111270658.65
RELNCell morphogenesis involved in differentiationNM_00504549.12
NESStructural organization of the cellNM_00661715.67
MEGF10PhagocytosisNM_0324469.89
EPCAMPositive regulation of cell proliferationNM_0023548.79
PDGFDPositive regulation of cell divisionNM_0252085.43
CLUCell death, positive regulation of cell proliferationNM_0018315.19
VEGFCAngiogenesis, positive regulation of neuroblast proliferationNM_0054293.74
MSI2Stem cell developmentNM_1389623.55
DBC1Cell cycle arrest, cell deathNM_0146183.32
TGFB1Cell growth, cell proliferation, cell differentiation and apoptosisNM_0006603.14
IGFBP6Regulation of cell growthNM_0021783.07

Cytokine, chemokine, and immune responseIGJImmune responseNM_14464622.65
IGHDImmune responseBC02127611.30
CXCL14Chemotaxis, immune response, inhibiting angiogenesisNM_0048878.74
SELELeukocyte migration involved in inflammatory responseNM_0004505.82
MX1Induction of apoptosis, defense response, response to virusNM_0024625.24
IFI44Response to virusNM_0064175.05
CX3CL1Chemotaxis, defense response, immune responseNM_0029963.60
CFIInnate immune responseNM_0002043.17

3.2. Gene Ontology Analysis

In the UC tissue, the expression levels of 158 genes were upregulated 10-fold or more in comparison with DP, whereas the expression levels of 118 genes were upregulated 10-fold in DP in comparison with UC. Genes related to cell proliferation and angiogenesis were expressed at higher levels in UC than in DP. Lipid metabolic process-related genes were highly expressed in DP. In comparison with DP, a large proportion of the UC genes were related to growth factor activity, structural molecular activity, DNA binding, and protein binding (Figure 1).

3.3. Stemness Characterization Using Surface Protein Markers

The comparative expression results for MSC surface protein markers are indicated in Figure 3. UC tissue appeared to contain a population of cells that were more positive for MSC markers (including CD29, CD34, CD44, CD73, CD105, CD146, and CD166) according to the minimal criteria of the International Society for Cell Therapy [18]. The comparative expression analysis of four induced pluripotent stem cell (iPSC) marker genes (i.e., OCT4, SOX2, MYC, and KLF4) revealed that the expression level of these genes was the same in UC and DP. qRT-PCR analysis for eight important marker genes revealed four tooth-related genes (DSPP, AMBN, CALB1, and DMP1), three genes for MSCs (CD34, CD146, and CD166), and MYC related to iPSC stemness. DSPP, AMBN, CALB1, and DMP1 were expressed in DP tissue but they were not excluded in the comparative qPCR results because they were not detected in UC tissue. The expression levels of CD146, CD166, and MYC were 18.3, 8.24, and 1.63 times higher, respectively, in UC than in DP, and the expression level of CD34 was 2.15 times higher in DP than in UC (Figure 2).

3.4. Immunohistochemical Staining

MCAM (CD146) was expressed abundantly as a perivascular stem cell marker in connective tissue, especially in the arteries of the UC. However, this protein showed a very low level of expression in DP tissue (Figure 3). IHC staining showed that DSPP, DMP1, and CALB1 were expressed broadly in DP tissue (Figure 4), but barely expressed in the UC. DSPP was evident in pulpal tissue, the odontoblast layer, and primary and secondary dentin. While DMP was stained in the odontoblast layer and secondary dentin, CALB1 was expressed in pulpal tissue and the odontoblast layer. These findings were consistent with the microarray data.

4. Discussion

Although numerous studies have been performed to evaluate the utility of human MSCs as sources for the development of cell-based therapeutics, a precise understanding of the biology of MSCs remains elusive. Previous studies, based on a strict definition of MSCs at the molecular or cellular levels, involved serial analyses of gene expression. However, such approaches raised concerns that the expression of housekeeping genes may have interfered with the identification of MSC-specific genetic characteristics. To overcome such shortcomings, we examined DNA microarray-based differential expression profiles of MSC population, comparing these profiles with those of other tissues to evaluate stemness capacity. We compared DP with UC tissue as both types contain stromal stem cell populations with high proliferative potential that are capable of regenerating their respective microenvironments with remarkable fidelity [19]. In order to identify genes expressed at higher levels in UC than in DP tissue, we categorized genes according to the ratio of the fold change between the two tissues. Results of qRT-PCR and IHC staining analyses confirmed the validity of these data, indicating that the expression of representative genes was consistent with the differential expression patterns observed in the microarray data.

Although MSCs originating from both tissues are highly similar, their differences may be functionally related to their origin; for example, MSCs derived from DP are more committed to the osteoblastic and odontogenic lineages, whereas MSCs derived from the UC would be more committed to angiogenesis. In DP tissue, microarray results indicated that certain genes (DMP1, AMBN, DSPP, DLX1, RUNX2, LEF1, PAX9, and MSX1) related to odontogenesis and biomineral tissue development were upregulated, which was in agreement with the expected results for this biological process. In addition, genes that might be related to bone and dentin mineralization, including PHEX, CALB1, MMP20, ALPL, LHX8, and WNT10A, were upregulated. Microarray data showed that the expression of DMP1, DSPP, and CALB that play important roles in the development of pulp tissue was 99.2, 98.1, and 41.3 times higher, respectively, in DP than in UC. qRT-PCR results indicated that the fold differences in the expression of DMP1, CALB1, and AMBN were not observed in the UC. Similarly, IHC staining results showed that DMP1, CALB1, and DSPP were not stained in the UC but were stained around the outer area of DP. The genetic pattern analysis of permanent pulp indicated that CALB1, a representative gene in DP, is necessary for enamel mineralization in transition- and maturation-stage ameloblasts [17].

MSCs possess multilineage differentiation potential with a variety of chemokines, cytokines, and growth factors involved in the regeneration of damaged tissue. They are capable of modifying their molecular activities and functions in response to the environment. The exclusive expression of the chemokines CXCL1 and CXCL6 in the UC may increase propagation of hematopoietic precursors in coculture settings. Other genes expressed at higher levels in the UC include those encoding IL-6, IL-18, FGF9, FGF10, PDGFA, EGF, and VEGFA, which are part of interconnected pathways related to angiogenesis. Jin et al. reported that MSCs derived from bone marrow, adipose tissue, and the UC have significantly different anti-inflammatory capacities and confirmed that UC-MSCs exhibit the greatest anti-inflammatory effects [20]. These findings suggest that UC-MSCs are more efficient for clinical applications involving revascularization.

In this study, the comparison of stemness of UC and DP tissues revealed no significant fold difference in the expression of several surface markers (CD29, CD34, CD44, CD73, CD105, and CD106) typical for MSCs. Nevertheless, some differences were observed in the expression level of CD146 (MCAM) and CD166 (ALCAM), which connect the control of cell growth with cell migration. These findings are representative of the developmental process. The qRT-PCR results showed that the expression levels of CD146 and CD166 were higher in UC than in DP (18.3-fold and 8.24-fold, resp.). These molecular differences in tissue-specific MSC gene expression may reflect their functional activities in distinct niches. A study utilizing flow cytometry reported higher expression of CD146, a marker expressed on both BMSCs and DP-MSCs [21]. IHC data confirmed that CD146 is a marker of vascular endothelial cells expressed on arteries of the UC and the outer walls of blood vessels in DP, suggesting that the majority of stem cells arise from the microvasculature. Accumulating evidence suggests that the expression of CD166 reflects the onset of a cellular program involving neural development, branching organ development, hematopoiesis, the immune response, and tumor progression [22]. Struys et al. reported that cultured DPSCs and UC-MSCs showed a similar expression pattern of antigens characteristic of MSCs such as CD105, CD29, CD44, CD146, and STRO-1 [23]. DPSCs are also identified by their positive expression of CD29, CD44, CD73, CD90, CD105, and STRO-1 [19]. CD34 protein is a specific antigen in hematopoietic cells, indicating that a greater number of immature hematopoietic cells are present in both UC and DP [24]. CD34 is present on the outer cell walls of DP and in the connective tissue of the UC, in agreement with previous studies reporting that CD34 localizes on large blood vessels, but not capillaries [25].

The expression of pluripotent stem cell genes in the UC and DP might reflect their embryonic origin. iPSCs are the most promising cell source for cell-based therapy in regenerative medicine, as they give rise to development by introducing 4 factors: MYC, KLF4, OCT4, and SOX2 [7]. No significant differences were found between the expressions of these factors in the two tissue types; MYC, KLF4, OCT4, and SOX2 were expressed 1.57, 1.03, 1.20, and 1.20 times more highly, respectively, in UC than in DP tissue. Previously, DPSCs were characterized by the low levels of expression of undifferentiated cell-associated genes, such as OCT4, MYC, and Nanog, which are considered to facilitate reprogramming [26]. Recent studies utilizing the UC to derive iPSCs are expected to contribute to the further expansion of its pluripotency for therapeutic purposes, including drug discovery [27, 28].

The UC expresses specific embryonic cell markers such as DLK1, DKK1, TBX18, WNT4, and TGFB3. Previous studies describing the expression of embryonic cell markers in the UC have shown that fetal perivascular cells express Runx1 and OCT-4 at different levels, which characterizes the undifferentiated stem cell state [29]. Interestingly, UC-MSCs exhibited higher levels of expression of genes related to cell proliferation than DPSCs, whereas DPSCs exhibited a higher proliferation rate compared with BMSCs in vitro [11]. Previous study revealed similar result of this research that UC-MSCs seemed to have higher cell proliferation ability, while DP-MSCs may have significant differences for lower cell apoptosis, osteogenic differentiation, and senescence [30]. This may be attributed to the developmental state of tissues, as UC samples are at an earlier stage of development compared with DP from fully developed and erupted permanent teeth. Commonly expressed genes in DP include those coding for various growth factors (BMP-2, BMP-5, BMP-7, MMP20, and TGF-β1) implicated as strong promoters of the formation of mineralized bone matrix and tooth morphogenesis [31]. Coexpression of genes with known functions, and unknown or novel genes, may provide a simple means to obtain data about genes for which little information is available.

Although the results of this study are still limited and require further investigation using additional methods, the similarity between MSCs derived from the UC and DP at the transcription level definitively places both tissues as potentially more accessible sources of MSCs. Furthermore, the present gene expression analysis confirms similarities between MSCs derived from the UC and DP and provides molecular and biological insights into the developmental mechanisms involved in angiogenic and odontogenic processes.

5. Conclusions

Here, we presented comparative gene expression data for human UC and DP tissue. Although UC tissue showed similar but slightly higher expression patterns, with the usual MSC markers, both tissues clearly diverged in their differentiation capacity. Further research is necessary to understand and describe the significance of these findings for clinical applications.

Disclosure

The funders had no role in study design, data collection and analysis, decision to publish the paper, or preparation of the paper.

Competing Interests

The authors declare that there are no competing interests regarding the publication of this paper.

Authors’ Contributions

Chung-Min Kang and Hyunok Kim equally contributed to this work.

Acknowledgments

This research was supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2011-0022160 and 2012R1A1A2041910). The authors would like to thank Professor Kim Y-H and Cho H-Y of the Department of Obstetrics and Gynecology, Severance Hospital, Yonsei University, for tissue collection and Jeon M. for data analysis.

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Copyright © 2016 Chung-Min Kang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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