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Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019 10
BACKGROUND
R
ecent evidence has demonstrated that dental pulp
stem cells (DPSC) may represent a source of
pluripotent progenitors capable of differentiating
into many cell and tissue types,[1,2]
some of which may have
therapeutic potential. Several key markers of pluripotency
in DPSC have been identified, including the transcription
factors Oct-4, Sox-2, and NANOG.[3,4]
Although many
studies have evaluated the functional effects of these
transcriptional activators and repressors, many factors that
contribute to maintaining pluripotency among DPSC remain
undiscovered.[5-7]
For example, recent evidence now suggests that mesenchymal
stem cell (MSC) differentiation may be regulated not only by
classical stem cell-associated transcription factors (Sox-2, Oct-4,
ORIGINAL ARTICLE
Pluripotent Stem Cell Markers and microRNA
Expression May Correlate with Dental Pulp Stem Cell
Viability and Proliferation Rates
Mark Whiting1
, William J. Hatton2
, Karl Kingsley3
1
Department of Advanced Education in Orthodontics and Dentofacial Orthopedics, University of Nevada, Las
Vegas – School of Dental Medicine, 1700 West Charleston Blvd, Las Vegas, Nevada, 89106, United States,
2
Department of Biomedical Sciences, University of Nevada, Las Vegas – School of Dental Medicine, 1001
Shadow Lane, Las Vegas, Nevada, 89106, United States, 3
Department of Biomedical Sciences and Director of
Student Research, University of Nevada, Las Vegas – School of Dental Medicine, 1001 Shadow Lane, Las Vegas,
Nevada, 89106, United States
ABSTRACT
Background: Recent evidence has demonstrated that dental pulp stem cells (DPSC) may represent a source of pluripotent
progenitors capable of differentiating into many cell and tissue types. Although microRNAs are known to modulate
differentiation and function in human dental tissues, much of this research has focused selectively on tooth development.
The primary objective of this study was to evaluate the expression of microRNA in dental pulp stem cell isolates to compare
with classical biomarkers of cellular phenotypes and pluripotency. Materials and Methods: Using eight previously isolated
and characterized DPSC isolates, growth and viability were evaluated and RNA was extracted for mRNA screening. DPSC
biomarker and microRNA expression were analyzed for comparison with cellular phenotypes. Results: Evaluation of the
growth and proliferation rates of each cell line resulted in the categorization of DPSC isolates into rapid, intermediate, and
slow doubling times, which demonstrated higher viability among the most rapidly proliferating DPSCs. Analysis of DPSC
biomarkers (Oct-4, Sox-2, NANOG) revealed an association with total live cell count, while microRNA expression (miR-27,
miR-218, miR-124, and miR-16) appeared to be more closely associated with cellular viability. Conclusions: Although this
study was limited to a small number of DPSC isolates, these results suggest a more thorough investigation and evaluation of
biomarkers and microRNAexpression may be necessary to elucidate the associations and complex interconnections with DPSC
viability, proliferation, differentiation, and pluripotency.
Key words: Biomarkers, dental pulp stem cells, microRNA, pluripotency
Address for correspondence:
Karl Kingsley, Department of Biomedical Sciences, University of Nevada, Las Vegas – School of Dental Medicine 1001
Shadow Lane Las Vegas, Nevada, 89106, United States. Tel.: 702-774-2623. E-mail: karl.kingsley@unlv.edu
https://doi.org/10.33309/2639-8605.020103 www.asclepiusopen.com
© 2019 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
Whiting, et al.: Dental pulp stem cell microRNA
 Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019
and NANOG) but also through transcriptional modulation by
long, non-coding RNA known as microRNA.[8,9]
In fact, there is
some evidence that specific microRNAs may also be useful as
biomarkers to identify and distinguish stem cells with differing
therapeutic potential.[10-12]
Although an extensive body of
evidence has accumulated regarding the role of microRNAs and
MSC, a few (if any) studies have focused more specifically on
the role of DPSC.[13]
Although microRNAs are known to modulate differentiation
and function in human dental tissues, much of this research
has focused selectively on tooth development.[14-16]
Developmental biology requires a thorough understanding of
these mechanisms; however, recent studies now suggest that
DPSC may also be useful in bioengineering and therapeutic
applications for regenerative medicine.[17,18]
Promising areas
of interest include bone and neural tissue engineering using
DPSC although much remains to be discovered regarding the
mechanisms that control these processes.[19,20]
Research from our group has evaluated classical biomarkers
and other factors that may influence the therapeutic potential of
primary explants and DPSC isolates.[21,22]
The most recent study
from this group may have also identified a limited number
of microRNAs that may influence DPSC pluripotency and
differentiation, including miR-27, miR-124, and miR-218.[23]
Many other studies have examined the role of these microRNAs
in MSC although only a single, recent study has examined
miR-218 in DPSC and none have evaluated the concomitant
presence (or absence) of traditional biomarkers.[24-26]
To advance the evidence in this area, the primary objective
of this study was to evaluate the expression of microRNA
in DPSC isolates to compare with classical biomarkers of
cellular phenotypes and pluripotency.
MATERIALS AND METHODS
Human subjects
This project was reviewed and approved by the Institutional
Review Board (IRB) and Office for the Protection of
Research Subjects (OPRS) under protocol OPRS#763012-1
“retrospective analysis of dental pulp stem cells (DPSC)
from the University of Nevada, Las Vegas – School of Dental
Medicine pediatric and adult clinical population.” DPSC
was originally collected using protocol OPRS#0907-3148
“isolation of non-embryonic stem cells from dental pulp.”
In brief, patients scheduled for extraction of third molars for
orthodontic treatment (primarily indicated for spacing and
crowding) were asked to participate. Informed consent (and
pediatric assent) were provided. Exclusion criteria included
refusal to participate, refused to provide Informed Consent/
Assent, or compromised dental pulp due to injury, fracture,
infection or disease.
Following cross-sectioning of the extracted tooth at the
cementoenamel junction, DPSC was extracted from the
pulp chamber using an endodontic broach and transferred
to the laboratory for culture and analysis, as previously
described.[27,28]
Growth for a minimum of 10 passages was
allowed for each DPSC isolate, as part of the direct outgrowth
method.[29,30]
Growth and proliferation
Doubling time (DT) was established for each DPSC isolate
using the growth rate measured between 1:4 passaging and
achieving confluence. These data were used to characterize
three distinct categories of DPSC growth: Rapid DT (rDT)
of 2–3 days, intermediate DT (iDT) 5–7 days, and slow DT
(sDT) of 10–14 days.[21,22]
Cellular viability and photomicroscopy
Analysis of cellular viability was performed using the Trypan
blue exclusion method and the BioRad TC20 automated cell
counter, using the manufacturer recommended protocol.
These data provided both live and total cell counts, allowing
for the calculation of the percentage of viable cells in each
sample, as previously described.[27,28,31]
Digital images
of DPSC isolates were captured using the Lionheart LX
Automated Microscope and ×20 objective lens.
Statistical analysis
Rates of proliferation and cellular viability were measured,
and these descriptive statistics were collected and analyzed
using the Student’s two-tailed t-test. Statistical significance
was set using an alpha level (α) =0.05.
RNA isolation and polymerase chain reaction (PCR)
RNA was extracted from each DPSC isolate using total RNA
isolation reagent from Molecular Research Center and the
manufacturer recommended protocol.[23,27]
RNAwas analyzed
to determine the purity using spectrophotometric absorbance
readings at 260 and 280 nm (A260:A280 ratio). All samples
were required to meet the standard A260:A280 1.65.
Screening for mRNA expression was facilitated using the
ABgene Reverse-iT One-Step reverse transcription (RT)-PCR
kit and protocol. The basic specifications were an initial RT at
47°C for 30 min and 30 cycles of the following: Denaturation
95°C,annealing30satselectedprimertemperature(seebelow),
and final extension 60°C for 60 s. Results were obtained using
gel electrophoresis and visualized using ethidium bromide
with a Kodak Gel Logic 100 Imaging System. Primers were
synthesized from Eurofins MWG Operon, as follows:
DPSC biomarker primers
Oct-4 forward, 5’-TGGAG AAGGAGAAGC TGG
AGCAAAA-3’; 25 nt: 48% GC; Tm 70C Oct4
reverse,5’-GGCAGATGGTCGT TTGGCTGAATA-3’;
24 nt; 50% GC; Tm 70C Optimal Tm: 71C.
Whiting, et al.: Dental pulp stem cell microRNA
Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019 12
Sox2 forward, 5’-ATGGGCT CTGTGG TCAAGTC-3’;
20 nt: 55% GC; Tm 67C Sox2 reverse, 5’-CCCTCCCAA
TTCCCTTGTAT-5’; 20 nt; 50% GC;Tm 64C OptimalTm: 65C.
NANOG forward, 5’-GCTGAGA TGCCTCACAC
GGAG-3’; 21 nt; 62% GC; Tm 71C NANOG reverse,
5’-TCTGTTTCTTGACTGGGACCTTGTC-3’; 25 nt: 48%
GC; Tm 69C Optimal Tm: 70C.
Nestin forward, 5’-CGTTGGAAC AGAGGTTGGAG-3’; 20
nt; 55% GC; Tm 66C Nestin reverse, 5’-TCCTGAAAGCT
GAGGGAAG-3’; 19 nt; 53% GC; Tm 64C Optimal Tm: 65C.
MicroRNA screening primers
miR-27 forward, 5’-ATATGAGA AAAG AGCTT
CCCTGTG-3’; 24 nt; 42% GC; Tm 64C miR-27 reverse,
5’-CAAGGCC AGAGGAG GTGAG-’3’; 19 nt; 63% GC;
Tm 64C Optimal Tm: 65C.
miR-218 forward, 5’-TCG GGCTT GTGCTT GATCT-3’;
19 nt; 53% GC; Tm 67C miR-218 reverse, 5’-GTGCAGGG
TCCGAGTG-3’; 16 nt; 69% GC; Tm 66C Optimal Tm: 67C.
miR-124- forward, 5’-ATGAATTC TCGCCA GC TTTT
TCTT-3’; 24 nt; 38% GC; Tm 65C miR-124 reverse,
5’-ATGAATTCA TTTGCAT CTGCACAAACCC-3’; 28 nt;
39% GC; Tm 65C Optimal Tm: 66C.
miR-16 forward, 5’-TAGCAGCA CGTAAATAT TGGCG-
3’; 22 nt; 45% GC; Tm 65C miR-16 reverse, 5’-TGCGTG
TCGTGGAGTC-3’; 16 nt; 63% GC; Tm 65C Optimal
Tm: 66C.
RESULTS
Evaluation of the growth and proliferation rates of each DPSC
isolate resulted in categorization of DPSC isolates into rDT,
iDT, and sDT [Table 1]. The average DT for the rapid DPSC
was 2.2 days, which was significantly less than the average
DT for the intermediate (6.25 days) and slow DPSC isolates
(12.1 days), P = 0.0241.
Cellular viability was then measured for each DPSC isolate
to determine if any correlations could be found with growth
rates and DT [Table 2]. In brief, the cellular viability for the
rDT DPSC isolates averaged 56%, ranging between 52%
and 59%. The average was considerably higher than those
observed among the iDT DPSC isolates (37%, range 35–39%)
or sDT DPSC isolates (31%, range 29–34%), P = 0.311.
To more closely evaluate cellular phenotypes and morphology
as well as to evaluate the presence of both viable and non-
viable cells, digital micrographs were obtained from each
DPSC isolate [Figure 1]. Briefly, these data demonstrated
multiple,non-adherentDPSC cells withfewer cellsdisplaying
signs of apoptosis (intense blebbing) among the rDT isolates
[Figures 1a and 1c]. Higher proportions of these non-viable
cells were observed among the iDT [Figure 1d and h] and
sDT isolates [Figure 1e and g].
To evaluate the association between growth and viability,
DPSC biomarkers (Oct-4, Sox-2, NANOG, and Nestin) and
microRNAs (miR-27, miR-218, miR-124, and miR-16) were
evaluated using RT-PCR for comparison with graphs of live
and viable cells [Figure 2]. More specifically, the total live
counts from each cell line were plotted, which revealed the
highest numbers among the rDT and iDT isolates [Figure 2a].
These data appear to correlate with the expression of
NANOG, Sox-2, and Oct-4 among the rDT and iDT isolates
although some variability in mRNA expression was observed
[Figure 2b].
Although mRNAexpression of at least two DPSC biomarkers
was noted in all rDT and iDT isolates, the expression of
all DPSC biomarkers was noted in only one DPSC isolate
(DPSC-7089), which was observed to have the highest
overall live cell count and cell viability [Figure 2b and c].
In addition, Oct-4 expression was not observed in either of
the iDT isolates (DPSC-8124 and DPSC-17322). However,
the expression of Sox-2 and NANOG was observed in all
of the iDT isolates, unlike the variable expression observed
among the rDT isolates.
The highest overall viability was verified among the rDTisolates
(DPSC-3882, DPSC-5653, and DPSC-7089) with an average
exceeding 50% [Figure 2c]. These data appear to correlate with
the expression of miR-27, which was observed only among the
rDT isolates [Figure 2d]. Expression of miR-124 was restricted
Table 1: Analysis of DPSC growth rates
DPSC isolate DT (days) Categorization
DPSC‑3882 2.6 rDT
DPSC‑5653 2.1 rDT
DPSC‑7089 1.9 rDT
rDT average: 2.2
range: 1.9–2.6
DPSC 8124 5.9 iDT
DPSC‑17322 6.6 iDT
iDT average: 6.25
range: 5.9–6.6
DPSC‑11418 10.2 sDT
DPSC‑11750 13.1 sDT
DPSC ‑11836 12.9 sDT
sDT average: 12.1
range: 10.2–13.1
DPSC: Dental pulp stem cells, DT: Doubling time, sDT: Slow DT,
rDT: Rapid DT, iDT: Intermediate DT
Whiting, et al.: Dental pulp stem cell microRNA
 Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019
to the sDT isolates, which appeared to have the lowest overall
viability (approximately 30%), with variable expression
observed with miR-218. It was noted that only miR-16 (control)
expression was observed among the iDT isolates, with no
expression of miR-27, miR-124, or miR-218 observed.
DISCUSSION
The primary objective of this study was to evaluate the
expression of microRNA in DPSC isolates to compare with
classical biomarkers of cellular phenotypes and pluripotency.
Evaluation of the growth and proliferation rates of each cell
line resulted in the categorization of DPSC isolates into
rDT, iDT, and sDT, which demonstrated higher viability
among the most rapidly proliferating DPSCs. Analysis of
DPSC biomarkers (Oct-4, Sox-2, and NANOG) revealed
an association with total live cell count, while microRNA
expression (miR-27, miR-218, miR-124, and miR-16)
appeared to be more closely associated with viability.
These data appear to confirm recent studies that demonstrated
proliferation and growth potential among DPSC isolates to
be closely linked with expression of Sox-2 and other DPSC
biomarkers, such as Oct-4.[32-34]
The results of this study
also support previous findings from this group regarding the
association between DT (growth) and these biomarkers. [21,22,27]
In addition, these data also confirm one of the only studies to
demonstrate an association between microRNA expression
(miR-218) and DPSC viability and differentiation potential.[35]
Although only limited evidence regarding DPSC and
microRNAs may be available, a growing body of evidence
regarding microRNA expression and stem cell differentiation
may suggest that further research in this area is warranted.[36,37]
For example, miR-124 is a key regulator of osteogenic,
myogenic, and neuronal differentiation in MSC although
this role has yet to be confirmed among DPSC.[38-40]
miR-218
may also function in a similar capacity, as a key regulator of
osteogenic differentiation in MSC.[41]
The role of miR-27 in the differentiation of other MSC may
be the most thoroughly examined of these microRNAs.[24,25]
For example, miR-27 has been shown to promote osteoblast
differentiation by directly modulating transcription of several
key components of the beta-catenin/Wnt pathway.[42]
miR-27
mayalsofunctiontopromotemyeloblastdifferentiationthrough
direct and indirect modulation of Runx1 transcription.[43,44]
However, miR-27 has also been shown to inhibit adipose
differentiation and mitochondrial function through multiple
pathways in other types of adipose-derived MSC.[45-47]
CONCLUSIONS
Although this study was limited to a small number of DPSC
isolates, these results suggest a more thorough investigation
and evaluation of biomarkers and microRNA expression
may be necessary to elucidate the associations and complex
interconnections with DPSC viability, proliferation,
differentiation, and pluripotency.
Declarations
This project was reviewed and approved by the IRB and OPRS
under protocol OPRS#763012-1 “Retrospective analysis of
DPSC from the University of Nevada, Las Vegas – School
of Dental Medicine pediatric and adult clinical population”.
Table 2:Trypan blue exclusion assay test for DPSC
viability
DPSC isolate Cellular viability Categorization
DPSC‑3882 1.62×105
cells/mL TC
0.84×105
cells/mL LC
Viable: 52%
rDT (2.6 days)
DPSC‑5653 1.90×105
cells/mL TC
1.12×105
cells/mL LC
Viable: 59%
rDT (2.1 days)
DPSC‑7089 3.35×105
cells/mL TC
1.90×105
cells/mL LC
Viable: 57%
rDT (1.9 days)
rDT Ave: 2.29×105
cells/mL TC
Ave: 1.29×105
cells/mL LC
Average viability: 56%
DPSC 8124 3.68×105
cells/mL TC
1.45×105
cells/mL LC
Viable: 39%
iDT (5.9 days)
DPSC‑17322 2.90×105
cells/mL TC
1.00×105
cells/mL LC
Viable: 35%
iDT (6.6 days)
iDT Ave: 3.29×105
cells/mL TC
Ave: 1.23×105
cells/mL LC
Average viability: 37%
DPSC‑11418 3.24×105
cells/mL TC
0.948×105
cells/mL LC
Viable: 29%
sDT (10.2 days)
DPSC‑11750 3.24×105
cells/mL TC
1.00×105
cells/mL LC
Viable: 31%
sDT (13.1 days)
DPSC‑11836 1.62×105
cells/mL TC
0.558×105
cells/mL LC
Viable: 34%
sDT (12.9 days)
sDT Ave: 2.70×105
cells mL TC
Ave: 0.835×105
cells/mL LC
Average viability: 31%
DPSC: Dental pulp stem cells, DT: Doubling time sDT: Slow DT,
iDT: Intermediate DT, rDT: Rapid DT
Whiting, et al.: Dental pulp stem cell microRNA
Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019 14
Funding
This project was funded by the Office of Research and the
Department of Advanced Education in Orthodontics and
Dentofacial Orthopedics, at the University of Nevada, Las
Vegas – School of Dental Medicine.
AUTHORS’ CONTRIBUTIONS
KK and MW were responsible for experimental protocols,
including RNA isolation and PCR screening, as well as
project design and funding. WJH was responsible for photo
microscopy and cell imaging. All authors participated in data
analysis and manuscript preparation.
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Whiting, et al.: Dental pulp stem cell microRNA
Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019 16
Res 2017;9:4856-71.
37.	 Hao Y, Ge Y, Li J, Hu Y, Wu B, Fang F, et al. Identification
of microRNAs by microarray analysis and prediction
of target genes involved in osteogenic differentiation of
human periodontal ligament stem cells. J Periodontol
2017;88:1105-13.
38.	 Qadir AS, Um S, Lee H, Baek K, Seo BM, Lee G, et al. MiR-
124 negatively regulates osteogenic differentiation and in vivo
bone formation of mesenchymal stem cells. J Cell Biochem
2015;116:730-42.
39.	 Qadir AS, Woo KM, Ryoo HM, Yi T, Song SU, Baek JH, et al.
MiR-124 inhibits myogenic differentiation of mesenchymal
stemcellsviatargetingdlx5.J CellBiochem2014;115:1572-81.
40.	 Mondanizadeh M, Arefian E, Mosayebi G, Saidijam M,
Khansarinejad B, Hashemi SM, et al. MicroRNA-124
regulates neuronal differentiation of mesenchymal stem cells
by targeting sp1 mRNA. J Cell Biochem 2015;116:943-53.
41.	 Xu JF, Yang GH, Pan XH, Zhang SJ, Zhao C, Qiu BS, et al.
Altered microRNA expression profile in exosomes during
osteogenic differentiation of human bone marrow-derived
mesenchymal stem cells. PLoS One 2014;9:e114627.
42.	 Wang T, Xu Z. MiR-27 promotes osteoblast differentiation by
modulating wnt signaling. Biochem Biophys Res Commun
2010;402:186-9.
43.	 Feng J, Iwama A, Satake M, Kohu K. MicroRNA-27
enhances differentiation of myeloblasts into granulocytes by
post-transcriptionally downregulating runx1. Br J Haematol
2009;145:412-23.
44.	 Lozano-Velasco E, Contreras A, Crist C, Hernández-Torres F,
Franco D, Aránega AE, et al. Pitx2c modulates pax3+/
Pax7+ cell populations and regulates pax3 expression by
repressing miR27 expression during myogenesis. Dev Biol
2011;357:165-78.
45.	 Chen KD, Goto S, Hsu LW, Lin TY, Nakano T, Lai CY, et al.
Identification of miR-27b as a novel signature from the mRNA
profiles of adipose-derived mesenchymal stem cells involved
in the tolerogenic response. PLoS One 2013;8:e60492.
46.	 Kang T, Lu W, Xu W, Anderson L, Bacanamwo M,
Thompson W, et al. MicroRNA-27 (miR-27) targets prohibitin
and impairs adipocyte differentiation and mitochondrial
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47.	 Chen SZ, Xu X, Ning LF, Jiang WY, Xing C, Tang QQ,
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How to cite this article: Whiting M, Hatton WJ,
Kingsley K. Pluripotent Stem Cell Markers and
microRNA Expression May Correlate with Dental Pulp
Stem Cell Viability and Proliferation Rates. Asclepius
Med Res Rev 2019;2(1)10-16.

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Pluripotent Stem Cell Markers and microRNA Expression May Correlate with Dental Pulp Stem Cell Viability and Proliferation Rates

  • 1. Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019 10 BACKGROUND R ecent evidence has demonstrated that dental pulp stem cells (DPSC) may represent a source of pluripotent progenitors capable of differentiating into many cell and tissue types,[1,2] some of which may have therapeutic potential. Several key markers of pluripotency in DPSC have been identified, including the transcription factors Oct-4, Sox-2, and NANOG.[3,4] Although many studies have evaluated the functional effects of these transcriptional activators and repressors, many factors that contribute to maintaining pluripotency among DPSC remain undiscovered.[5-7] For example, recent evidence now suggests that mesenchymal stem cell (MSC) differentiation may be regulated not only by classical stem cell-associated transcription factors (Sox-2, Oct-4, ORIGINAL ARTICLE Pluripotent Stem Cell Markers and microRNA Expression May Correlate with Dental Pulp Stem Cell Viability and Proliferation Rates Mark Whiting1 , William J. Hatton2 , Karl Kingsley3 1 Department of Advanced Education in Orthodontics and Dentofacial Orthopedics, University of Nevada, Las Vegas – School of Dental Medicine, 1700 West Charleston Blvd, Las Vegas, Nevada, 89106, United States, 2 Department of Biomedical Sciences, University of Nevada, Las Vegas – School of Dental Medicine, 1001 Shadow Lane, Las Vegas, Nevada, 89106, United States, 3 Department of Biomedical Sciences and Director of Student Research, University of Nevada, Las Vegas – School of Dental Medicine, 1001 Shadow Lane, Las Vegas, Nevada, 89106, United States ABSTRACT Background: Recent evidence has demonstrated that dental pulp stem cells (DPSC) may represent a source of pluripotent progenitors capable of differentiating into many cell and tissue types. Although microRNAs are known to modulate differentiation and function in human dental tissues, much of this research has focused selectively on tooth development. The primary objective of this study was to evaluate the expression of microRNA in dental pulp stem cell isolates to compare with classical biomarkers of cellular phenotypes and pluripotency. Materials and Methods: Using eight previously isolated and characterized DPSC isolates, growth and viability were evaluated and RNA was extracted for mRNA screening. DPSC biomarker and microRNA expression were analyzed for comparison with cellular phenotypes. Results: Evaluation of the growth and proliferation rates of each cell line resulted in the categorization of DPSC isolates into rapid, intermediate, and slow doubling times, which demonstrated higher viability among the most rapidly proliferating DPSCs. Analysis of DPSC biomarkers (Oct-4, Sox-2, NANOG) revealed an association with total live cell count, while microRNA expression (miR-27, miR-218, miR-124, and miR-16) appeared to be more closely associated with cellular viability. Conclusions: Although this study was limited to a small number of DPSC isolates, these results suggest a more thorough investigation and evaluation of biomarkers and microRNAexpression may be necessary to elucidate the associations and complex interconnections with DPSC viability, proliferation, differentiation, and pluripotency. Key words: Biomarkers, dental pulp stem cells, microRNA, pluripotency Address for correspondence: Karl Kingsley, Department of Biomedical Sciences, University of Nevada, Las Vegas – School of Dental Medicine 1001 Shadow Lane Las Vegas, Nevada, 89106, United States. Tel.: 702-774-2623. E-mail: karl.kingsley@unlv.edu https://doi.org/10.33309/2639-8605.020103 www.asclepiusopen.com © 2019 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
  • 2. Whiting, et al.: Dental pulp stem cell microRNA Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019 and NANOG) but also through transcriptional modulation by long, non-coding RNA known as microRNA.[8,9] In fact, there is some evidence that specific microRNAs may also be useful as biomarkers to identify and distinguish stem cells with differing therapeutic potential.[10-12] Although an extensive body of evidence has accumulated regarding the role of microRNAs and MSC, a few (if any) studies have focused more specifically on the role of DPSC.[13] Although microRNAs are known to modulate differentiation and function in human dental tissues, much of this research has focused selectively on tooth development.[14-16] Developmental biology requires a thorough understanding of these mechanisms; however, recent studies now suggest that DPSC may also be useful in bioengineering and therapeutic applications for regenerative medicine.[17,18] Promising areas of interest include bone and neural tissue engineering using DPSC although much remains to be discovered regarding the mechanisms that control these processes.[19,20] Research from our group has evaluated classical biomarkers and other factors that may influence the therapeutic potential of primary explants and DPSC isolates.[21,22] The most recent study from this group may have also identified a limited number of microRNAs that may influence DPSC pluripotency and differentiation, including miR-27, miR-124, and miR-218.[23] Many other studies have examined the role of these microRNAs in MSC although only a single, recent study has examined miR-218 in DPSC and none have evaluated the concomitant presence (or absence) of traditional biomarkers.[24-26] To advance the evidence in this area, the primary objective of this study was to evaluate the expression of microRNA in DPSC isolates to compare with classical biomarkers of cellular phenotypes and pluripotency. MATERIALS AND METHODS Human subjects This project was reviewed and approved by the Institutional Review Board (IRB) and Office for the Protection of Research Subjects (OPRS) under protocol OPRS#763012-1 “retrospective analysis of dental pulp stem cells (DPSC) from the University of Nevada, Las Vegas – School of Dental Medicine pediatric and adult clinical population.” DPSC was originally collected using protocol OPRS#0907-3148 “isolation of non-embryonic stem cells from dental pulp.” In brief, patients scheduled for extraction of third molars for orthodontic treatment (primarily indicated for spacing and crowding) were asked to participate. Informed consent (and pediatric assent) were provided. Exclusion criteria included refusal to participate, refused to provide Informed Consent/ Assent, or compromised dental pulp due to injury, fracture, infection or disease. Following cross-sectioning of the extracted tooth at the cementoenamel junction, DPSC was extracted from the pulp chamber using an endodontic broach and transferred to the laboratory for culture and analysis, as previously described.[27,28] Growth for a minimum of 10 passages was allowed for each DPSC isolate, as part of the direct outgrowth method.[29,30] Growth and proliferation Doubling time (DT) was established for each DPSC isolate using the growth rate measured between 1:4 passaging and achieving confluence. These data were used to characterize three distinct categories of DPSC growth: Rapid DT (rDT) of 2–3 days, intermediate DT (iDT) 5–7 days, and slow DT (sDT) of 10–14 days.[21,22] Cellular viability and photomicroscopy Analysis of cellular viability was performed using the Trypan blue exclusion method and the BioRad TC20 automated cell counter, using the manufacturer recommended protocol. These data provided both live and total cell counts, allowing for the calculation of the percentage of viable cells in each sample, as previously described.[27,28,31] Digital images of DPSC isolates were captured using the Lionheart LX Automated Microscope and ×20 objective lens. Statistical analysis Rates of proliferation and cellular viability were measured, and these descriptive statistics were collected and analyzed using the Student’s two-tailed t-test. Statistical significance was set using an alpha level (α) =0.05. RNA isolation and polymerase chain reaction (PCR) RNA was extracted from each DPSC isolate using total RNA isolation reagent from Molecular Research Center and the manufacturer recommended protocol.[23,27] RNAwas analyzed to determine the purity using spectrophotometric absorbance readings at 260 and 280 nm (A260:A280 ratio). All samples were required to meet the standard A260:A280 1.65. Screening for mRNA expression was facilitated using the ABgene Reverse-iT One-Step reverse transcription (RT)-PCR kit and protocol. The basic specifications were an initial RT at 47°C for 30 min and 30 cycles of the following: Denaturation 95°C,annealing30satselectedprimertemperature(seebelow), and final extension 60°C for 60 s. Results were obtained using gel electrophoresis and visualized using ethidium bromide with a Kodak Gel Logic 100 Imaging System. Primers were synthesized from Eurofins MWG Operon, as follows: DPSC biomarker primers Oct-4 forward, 5’-TGGAG AAGGAGAAGC TGG AGCAAAA-3’; 25 nt: 48% GC; Tm 70C Oct4 reverse,5’-GGCAGATGGTCGT TTGGCTGAATA-3’; 24 nt; 50% GC; Tm 70C Optimal Tm: 71C.
  • 3. Whiting, et al.: Dental pulp stem cell microRNA Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019 12 Sox2 forward, 5’-ATGGGCT CTGTGG TCAAGTC-3’; 20 nt: 55% GC; Tm 67C Sox2 reverse, 5’-CCCTCCCAA TTCCCTTGTAT-5’; 20 nt; 50% GC;Tm 64C OptimalTm: 65C. NANOG forward, 5’-GCTGAGA TGCCTCACAC GGAG-3’; 21 nt; 62% GC; Tm 71C NANOG reverse, 5’-TCTGTTTCTTGACTGGGACCTTGTC-3’; 25 nt: 48% GC; Tm 69C Optimal Tm: 70C. Nestin forward, 5’-CGTTGGAAC AGAGGTTGGAG-3’; 20 nt; 55% GC; Tm 66C Nestin reverse, 5’-TCCTGAAAGCT GAGGGAAG-3’; 19 nt; 53% GC; Tm 64C Optimal Tm: 65C. MicroRNA screening primers miR-27 forward, 5’-ATATGAGA AAAG AGCTT CCCTGTG-3’; 24 nt; 42% GC; Tm 64C miR-27 reverse, 5’-CAAGGCC AGAGGAG GTGAG-’3’; 19 nt; 63% GC; Tm 64C Optimal Tm: 65C. miR-218 forward, 5’-TCG GGCTT GTGCTT GATCT-3’; 19 nt; 53% GC; Tm 67C miR-218 reverse, 5’-GTGCAGGG TCCGAGTG-3’; 16 nt; 69% GC; Tm 66C Optimal Tm: 67C. miR-124- forward, 5’-ATGAATTC TCGCCA GC TTTT TCTT-3’; 24 nt; 38% GC; Tm 65C miR-124 reverse, 5’-ATGAATTCA TTTGCAT CTGCACAAACCC-3’; 28 nt; 39% GC; Tm 65C Optimal Tm: 66C. miR-16 forward, 5’-TAGCAGCA CGTAAATAT TGGCG- 3’; 22 nt; 45% GC; Tm 65C miR-16 reverse, 5’-TGCGTG TCGTGGAGTC-3’; 16 nt; 63% GC; Tm 65C Optimal Tm: 66C. RESULTS Evaluation of the growth and proliferation rates of each DPSC isolate resulted in categorization of DPSC isolates into rDT, iDT, and sDT [Table 1]. The average DT for the rapid DPSC was 2.2 days, which was significantly less than the average DT for the intermediate (6.25 days) and slow DPSC isolates (12.1 days), P = 0.0241. Cellular viability was then measured for each DPSC isolate to determine if any correlations could be found with growth rates and DT [Table 2]. In brief, the cellular viability for the rDT DPSC isolates averaged 56%, ranging between 52% and 59%. The average was considerably higher than those observed among the iDT DPSC isolates (37%, range 35–39%) or sDT DPSC isolates (31%, range 29–34%), P = 0.311. To more closely evaluate cellular phenotypes and morphology as well as to evaluate the presence of both viable and non- viable cells, digital micrographs were obtained from each DPSC isolate [Figure 1]. Briefly, these data demonstrated multiple,non-adherentDPSC cells withfewer cellsdisplaying signs of apoptosis (intense blebbing) among the rDT isolates [Figures 1a and 1c]. Higher proportions of these non-viable cells were observed among the iDT [Figure 1d and h] and sDT isolates [Figure 1e and g]. To evaluate the association between growth and viability, DPSC biomarkers (Oct-4, Sox-2, NANOG, and Nestin) and microRNAs (miR-27, miR-218, miR-124, and miR-16) were evaluated using RT-PCR for comparison with graphs of live and viable cells [Figure 2]. More specifically, the total live counts from each cell line were plotted, which revealed the highest numbers among the rDT and iDT isolates [Figure 2a]. These data appear to correlate with the expression of NANOG, Sox-2, and Oct-4 among the rDT and iDT isolates although some variability in mRNA expression was observed [Figure 2b]. Although mRNAexpression of at least two DPSC biomarkers was noted in all rDT and iDT isolates, the expression of all DPSC biomarkers was noted in only one DPSC isolate (DPSC-7089), which was observed to have the highest overall live cell count and cell viability [Figure 2b and c]. In addition, Oct-4 expression was not observed in either of the iDT isolates (DPSC-8124 and DPSC-17322). However, the expression of Sox-2 and NANOG was observed in all of the iDT isolates, unlike the variable expression observed among the rDT isolates. The highest overall viability was verified among the rDTisolates (DPSC-3882, DPSC-5653, and DPSC-7089) with an average exceeding 50% [Figure 2c]. These data appear to correlate with the expression of miR-27, which was observed only among the rDT isolates [Figure 2d]. Expression of miR-124 was restricted Table 1: Analysis of DPSC growth rates DPSC isolate DT (days) Categorization DPSC‑3882 2.6 rDT DPSC‑5653 2.1 rDT DPSC‑7089 1.9 rDT rDT average: 2.2 range: 1.9–2.6 DPSC 8124 5.9 iDT DPSC‑17322 6.6 iDT iDT average: 6.25 range: 5.9–6.6 DPSC‑11418 10.2 sDT DPSC‑11750 13.1 sDT DPSC ‑11836 12.9 sDT sDT average: 12.1 range: 10.2–13.1 DPSC: Dental pulp stem cells, DT: Doubling time, sDT: Slow DT, rDT: Rapid DT, iDT: Intermediate DT
  • 4. Whiting, et al.: Dental pulp stem cell microRNA Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019 to the sDT isolates, which appeared to have the lowest overall viability (approximately 30%), with variable expression observed with miR-218. It was noted that only miR-16 (control) expression was observed among the iDT isolates, with no expression of miR-27, miR-124, or miR-218 observed. DISCUSSION The primary objective of this study was to evaluate the expression of microRNA in DPSC isolates to compare with classical biomarkers of cellular phenotypes and pluripotency. Evaluation of the growth and proliferation rates of each cell line resulted in the categorization of DPSC isolates into rDT, iDT, and sDT, which demonstrated higher viability among the most rapidly proliferating DPSCs. Analysis of DPSC biomarkers (Oct-4, Sox-2, and NANOG) revealed an association with total live cell count, while microRNA expression (miR-27, miR-218, miR-124, and miR-16) appeared to be more closely associated with viability. These data appear to confirm recent studies that demonstrated proliferation and growth potential among DPSC isolates to be closely linked with expression of Sox-2 and other DPSC biomarkers, such as Oct-4.[32-34] The results of this study also support previous findings from this group regarding the association between DT (growth) and these biomarkers. [21,22,27] In addition, these data also confirm one of the only studies to demonstrate an association between microRNA expression (miR-218) and DPSC viability and differentiation potential.[35] Although only limited evidence regarding DPSC and microRNAs may be available, a growing body of evidence regarding microRNA expression and stem cell differentiation may suggest that further research in this area is warranted.[36,37] For example, miR-124 is a key regulator of osteogenic, myogenic, and neuronal differentiation in MSC although this role has yet to be confirmed among DPSC.[38-40] miR-218 may also function in a similar capacity, as a key regulator of osteogenic differentiation in MSC.[41] The role of miR-27 in the differentiation of other MSC may be the most thoroughly examined of these microRNAs.[24,25] For example, miR-27 has been shown to promote osteoblast differentiation by directly modulating transcription of several key components of the beta-catenin/Wnt pathway.[42] miR-27 mayalsofunctiontopromotemyeloblastdifferentiationthrough direct and indirect modulation of Runx1 transcription.[43,44] However, miR-27 has also been shown to inhibit adipose differentiation and mitochondrial function through multiple pathways in other types of adipose-derived MSC.[45-47] CONCLUSIONS Although this study was limited to a small number of DPSC isolates, these results suggest a more thorough investigation and evaluation of biomarkers and microRNA expression may be necessary to elucidate the associations and complex interconnections with DPSC viability, proliferation, differentiation, and pluripotency. Declarations This project was reviewed and approved by the IRB and OPRS under protocol OPRS#763012-1 “Retrospective analysis of DPSC from the University of Nevada, Las Vegas – School of Dental Medicine pediatric and adult clinical population”. Table 2:Trypan blue exclusion assay test for DPSC viability DPSC isolate Cellular viability Categorization DPSC‑3882 1.62×105 cells/mL TC 0.84×105 cells/mL LC Viable: 52% rDT (2.6 days) DPSC‑5653 1.90×105 cells/mL TC 1.12×105 cells/mL LC Viable: 59% rDT (2.1 days) DPSC‑7089 3.35×105 cells/mL TC 1.90×105 cells/mL LC Viable: 57% rDT (1.9 days) rDT Ave: 2.29×105 cells/mL TC Ave: 1.29×105 cells/mL LC Average viability: 56% DPSC 8124 3.68×105 cells/mL TC 1.45×105 cells/mL LC Viable: 39% iDT (5.9 days) DPSC‑17322 2.90×105 cells/mL TC 1.00×105 cells/mL LC Viable: 35% iDT (6.6 days) iDT Ave: 3.29×105 cells/mL TC Ave: 1.23×105 cells/mL LC Average viability: 37% DPSC‑11418 3.24×105 cells/mL TC 0.948×105 cells/mL LC Viable: 29% sDT (10.2 days) DPSC‑11750 3.24×105 cells/mL TC 1.00×105 cells/mL LC Viable: 31% sDT (13.1 days) DPSC‑11836 1.62×105 cells/mL TC 0.558×105 cells/mL LC Viable: 34% sDT (12.9 days) sDT Ave: 2.70×105 cells mL TC Ave: 0.835×105 cells/mL LC Average viability: 31% DPSC: Dental pulp stem cells, DT: Doubling time sDT: Slow DT, iDT: Intermediate DT, rDT: Rapid DT
  • 5. Whiting, et al.: Dental pulp stem cell microRNA Asclepius Medical Research and Reviews  •  Vol 2  •  Issue 1  •  2019 14 Funding This project was funded by the Office of Research and the Department of Advanced Education in Orthodontics and Dentofacial Orthopedics, at the University of Nevada, Las Vegas – School of Dental Medicine. AUTHORS’ CONTRIBUTIONS KK and MW were responsible for experimental protocols, including RNA isolation and PCR screening, as well as project design and funding. WJH was responsible for photo microscopy and cell imaging. All authors participated in data analysis and manuscript preparation. REFERENCES 1. Lima RL, Holanda-Afonso RC, Moura-NetoV, Bolognese AM, DosSantos MF, Souza MM, et al. Human dental follicle cells express embryonic, mesenchymal and neural stem cells markers. Arch Oral Biol 2017;73:121-8. 2. Shetty H, Kakade A, Shetty S, Neelakantan P, Nagar S, Desai RS, et al. Immunohistochemical characterization of stem cell and differentiation markers of the dental pulp of human Figure 1: X DIC digital photomicrographs of freshly dispersed and cultured dental pulp stem cells (DPSCs). (a-c) rapidly dividing rapid DT (rDT) DPSC, (e-g) slowly dividing (slow DT) DPSC, (d-h) intermediately dividing DPSC. Arrows showing intense cellular blebbing (apoptosis), scale bar = 100 µm a b c d e g f h Figure 2: Live and viable cell counts correlate with dental pulp stem cells (DPSC) biomarkers and microRNA expression. (a) Live cell counts from DPSC isolates demonstrated the highest levels among rapid DT (rDT) and iDT isolates. (b) mRNA expression of DPSC biomarkers revealed Oct-4, Sox-2, and NANOG among rDT isolates (variable) and only Nestin expression among sDT isolates. (c) Percentage of viable cells revealed higher percentages among rDT isolates compared with either iDT or sDT. (d) MicroRNA expression of miR-27 was observed among rDT only, while miR-124 and miR-218 were observed mainly among the sDT isolates a b c d
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