Basic Study Open Access
Copyright ©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Stem Cells. Oct 26, 2016; 8(10): 355-366
Published online Oct 26, 2016. doi: 10.4252/wjsc.v8.i10.355
Characterization and genetic manipulation of primed stem cells into a functional naïve state with ESRRB
Ricardo Antonio Rossello, Department of Science and Technology, Sistema Universitario Ana G. Méndez, Metropolitan University, San Juan 00928, Puerto Rico
Ricardo Antonio Rossello, Department of Biochemistry, University of Puerto Rico - Medical Sciences Campus, San Juan 00921, Puerto Rico
Andreas Pfenning, Massachusetts Institute of Technology, Cambridge, MA 02139, United States
Jason T Howard, Howard Hughes Medical Institute, Chevy Chase, MD 20815-6789, United States
Ute Hochgeschwender, Duke Neurotransgenic Laboratory, Duke University Medical Center, Durham, NC 27710, United States
Author contributions: Rossello RA contributed to conception and design, acquisition of data, analysis and interpretation of data, drafting or revising the article, contributed unpublished essential data or reagents; Pfenning A contributed to analysis and interpretation of data and revising the article; Howard JT contributed to acquisition of data, revising the article, contributed unpublished essential data or reagents; Hochgeschwender U contributed to conception and contributed unpublished essential data or reagents.
Supported by Partially by an NIH translational training, No. T32NS051156; a seed grant from the University of Puerto Rico Medical Sciences Campus, No. 400100420002; the Metropolitan University seed grant; and the Duke Neurotransgenic Laboratory, supported, in part, with funding from NIH-NINDS Center Core, No. 5P30NS061789.
Institutional review board statement: This study was approved ethically by the Duke University (# 09-6152-01).
Institutional animal care and use committee statement: The Duke University and Duke University Medical Center Institutional Animal Care and Use Committee (IACUC) approved protocol A262-12-10.
Conflict-of-interest statement: Authors have no conflicts of interest.
Data sharing statement: All data sets were submitted as tables.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Dr. Ricardo Antonio Rossello, Department of Science and Technology, Sistema Universitario Ana G. Méndez, Metropolitan University, Ave. Ana G. Méndez Cupey, San Juan 00928, Puerto Rico. ricardo.rossello@upr.edu
Telephone: +1-787-7661717
Received: January 14, 2016
Peer-review started: January 15, 2016
First decision: March 1, 2016
Revised: July 21, 2016
Accepted: August 6, 2016
Article in press: August 8, 2016
Published online: October 26, 2016
Processing time: 279 Days and 23.6 Hours

Abstract
AIM

To identify differences between primed mouse embryonic stem cells (ESCs) and fully functional naive ESCs; to manipulate primed cells into a naive state.

METHODS

We have cultured 3 lines of cells from different mouse strains that have been shown to be naive or primed as determined by generating germline-transmitting chimeras. Cells were put through a battery of tests to measure the different features. RNA from cells was analyzed using microarrays, to determine a priority list of the differentially expressed genes. These were later validated by quantificational real-time polymerase chain reaction. Viral cassettes were created to induce expression of differentially expressed genes in the primed cells through lentiviral transduction. Primed reprogrammed cells were subjected to in-vivo incorporation studies.

RESULTS

Most results show that both primed and naive cells have similar features (morphology, proliferation rates, stem cell genes expressed). However, there were some genes that were differentially expressed in the naïve cells relative to the primed cells. Key upregulated genes in naïve cells include ESRRB, ERAS, ATRX, RNF17, KLF-5, and MYC. After over-expressing some of these genes the primed cells were able to incorporate into embryos in-vivo, re-acquiring a feature previously absent in these cells.

CONCLUSION

Although there are no notable phenotypic differences, there are key differences in gene expression between these naïve and primed stem cells. These differences can be overcome through overexpression.

Key Words: ESRRB; ERAS; Induced stem cells; Overexpression; C-myc

Core tip: Derivation and culturing of mouse embryonic stem cells (ESCs) from gene targeting to injection into blastocysts for chimera generation is a lengthy process that is difficult to control. Some stem cells might be in a primed state, having lost some of their characteristics, most importantly their pluripotency. These differences between ESC clones are usually only detected after many months by the failure of chimeric males to transmit the ESC genome through the germline. Here we have determined key expression differences between cells in a primed state and those in a presumed ground state. Detection of these differences will give researchers a powerful tool to quickly distinguish these cells, saving time, money and effort by choosing the best clones to go forward with. Furthermore, we were able to rescue the ground state through overexpression, indicating that the fate of these cells may potentially be controlled.



INTRODUCTION

Stem cells are in an early undifferentiated state and have the potential to differentiate into a variety of cell types and tissues, both in-vitro and in-vivo[1]. There are different types of stem cells. Adult stem cells are multipotent cells that exist within the adult tissue[2]. Embryonic stem cells (ESCs) have the potential to be differentiated to any cell type (pluripotent), whereas more differentiated stem cells, such as those in the skin, have a more restricted differentiation potential (unipotent)[3,4]. Induced pluripotent stem cells (iPSCs) can also be differentiated into various cell types[5-8] but a major advantage of iPSCs is that they can be generated from already terminally differentiated cells, such as skin or fibroblasts, of an individual and do not require isolating cells from embryos[9]. Findings that the simple over-expression of four transcription factors (Oct4, Sox2, Klf4 and c-myc) was sufficient to induce iPSCs from adult mice[5] and human[6] cells made the process of generating stem cells much more tractable in certain species, where it was once difficult to generate stem cells (such as in rats[10], pigs[11], and birds[12,13]). Since then, several strategies have been used to manipulate cells into a pluripotent state[14,15].

Derivation of mouse ESCs is a lengthy process[16,17] that often produces cell lines that have all of the features inherent in ESCs, but fail to incorporate into the germline. Similarly, culturing, selection, and expansion of ESC clones for gene targeting experiments results in clones whose potential for germline transmission will only be revealed after months of mouse breeding. This presents a significant limitation, as time invested may not yield the desired results. Identifying the potential of these cells early in the process, in order to make a stop/go decision, could enhance the efficiency in which research is conducted. Furthermore, overcoming identified differences in cells which lost their pluripotency may lead to rescue of valuable cell lines.

Lastly, while the reprogramming of healthy human somatic cells into a stem cell state has been defined[6,14]; there are still important differences being assessed between pluripotent states in derived ESCs, such as the differences between primed and naïve ground states[18].

Our work aims to identify differences, molecular and otherwise, between mouse embryonic stem cells which we are defining as naïve (ESCs that result in germline transmitting chimeras, and thus are fully pluripotent) and primed (ESCs that have all of the features of naïve cells, except that they fail to produce germline transmitting chimeras). These included morphological markers, telomerase activity, MTT assays, and microarray analysis, and incorporation into an embryo. Differences in gene expression can be used as a diagnostic tool to determine if the stem cells are in a fully naïve pluripotent state. In addition, we aim to manipulate primed cells, using lentiviral vectors, in order to induce a naïve state. We determined the differential expression patterns in 3 pairs (naïve/primed) of mouse ESC lines derived from different strains and test the hypothesis that ESC functionality can be restored. Each pair of naïve and primed cell line was generated during a separate gene targeting experiment, each starting from a pluripotent ESC line. Using microarray and bioinformatic analysis, we determined a priority list of differentially expressed genes. The list included genes such as Esrrb, Eras, Klf-5, c-myc, Rnf-17, Atrx, which were significantly downregulated in the primed ESCs; the expression level of these genes was further validated using qRT-PCR. cDNAs for these genes were isolated and used to construct gene cassettes and lentiviral vectors. Primed cells were induced to overexpress some of these genes. Reprogrammed cells were injected into the blastocyst to assess the hypothesis that function, here measured by incorporation into the embryo, could be restored.

MATERIALS AND METHODS
General cell culture

Mouse embryonic fibroblasts were collected at embryonic day 12.5 for 129 Sv and C57BL/6 mice strains (Jackson). Briefly, embryos (n = 4) were extracted from the womb, their liver and head were removed, and the remaining contents were minced manually using forceps. The contents were placed in a 15 mL tube and treated with 0.25% trypsin (0.25% Trypsin/EDTA, Gibco; 1-2 mL per embryo) for 30 min at 37 °C, pipetting briefly every 5 min to enhance dissociation. Trypsin was neutralized with complete DMEM media, cells were spun down, counted (hemocytometer), re-suspended in media and plated at a concentration of one embryo per 150 mm dish. When grown to confluent layers, all fibroblasts were passaged in complete media twice before cells were frozen in aliquots. Mouse embryonic stem cells[16] were cultured using KO-DMEM and standard conditions. Cells from two different genetic backgrounds and from three different gene targeting experiments were paired up after they were revealed as naïve (germline transmitting) or primed (no germline transmission), respectively (Table 1).

Table 1 Naive and primed mouse embryonic stem cells.
Mouse strain of ESC lineTargeted locusGermline transmission PluripotentNo germline transmission Not pluripotent
129SvPOMCI (QKQR-1E)II (QKQR-11B)
C57BL/6IGFR1III (IGFR1-152)IV (IGFR1-R13)
C57BL/6FGF13V (FGF13-1)VI (FGF13-15)
RNA extraction

Cells or RNA were spun down and RNA isolated using a standard kit (Promega SV total RNA isolation system, Z3105) as before[12]. RNA was quantified using a NanoDrop 2000c (Thermo Scientific) and then stored in -80 °C. RNA was used for microarray (methods) and qRT-PCR experiments.

Microarray

Microarray analysis was performed in the Microarray Center (Duke University Center for Genomic and Computational Biology), as per their standard protocols (Affymetrix Exon WT Package). Briefly, total RNA (volume 50 μL) was extracted and submitted to the core for analysis on a Mouse Gene 1.0 ST Array (Affymetrix). Results were analyzed using variance stabilization[19].

qRT-PCR

Complementary DNA (cDNA) was produced by reverse transcription (RT) in a 20 μL reaction using the supplier’s protocol (10 μL of 2 × RT buffer and 1 μL of 20 × Superscript II enzyme; Applied Biosystems). The cDNA was then used as a template to perform PCR gene expression assays in 20 μL reactions containing 1 μL template (approximately 2 μg/μL), 10 μL 2 × Gene Expression Master Mix (BioRad) and forward and reverse TaqMan primer probes (Generated by Applied Biosystems) or in 20 μL reactions containing the same reagents, but in place of TaqMan primers, custom PCR primers and 1 μL SYBR green (BioRad). The reactions were performed in a Cx96 real-time machine (Bio-rad). Cycling conditions were 95 °C for 10 min, followed by 35 cycles of denaturation at 95 °C for 15 s and annealing/extension at 60 °C for 1 min. No-template controls were run for each primer set and probe. 18S rRNA endogenous control was run for each sample using TaqMan primers that recognized the RNA in all samples tested (Cat# Eukaryotic 18S RNA HS99999901_S1; Applied Biosystems). The results were normalized to the endogenous 18S expression and to the gene expression level of the control mouse fibroblasts using the 2-DDCT method common for qRT-PCR analyses[20]. All primers showed efficiency levels above 90%, using the protocol in the MIQE guidelines (minimal information for publication of real-time PCR experiments). For statistical analysis, 2-way ANOVAs were performed on two factors [genes and strain type (C57BL/6 and 129 Sv)] on n = 3 independently generated lines (replicates) for each of the groups. Table 2 contains the primer sets utilized in this project.

Table 2 Primers used for quantificational real-time polymerase chain reaction to amplify and quantify expression of differentially expressed genes.
MouseGene identificationFwd primerRev primer
Oct-4NM_013633.2CCCCATGTCCGCCCGCATACAGGCCCAGTCCAACCTGAGGTC
Sox-2NM_011443.3GAAGAACAGCCCGGACCGCGTATGAACGGCCGCTTCTCGGT
c-mycNM_010849.4ACCCGCTCAACGACAGCAGCACTAGGGGCTCAGGGCTGGC
KLF-4NM_207209.2TAGTGGCGCCCTACAGCGGTTCGTGTGTGTTGGGCCGGTG
KLF-5NM_009769.4CACCGGATCTAGACATGCCCACGTCTGTGGAACAGCAGAG
Pax-6NM_001244198.1CACCAGACTCACCTGACACCTCACTCCGCTGTGACTGTTC
BMP-7NM_007557.3CTGAGTAAAGGACAGGGGCGCTGAGTAAAGGACAGGGGCG
ESRRBNM_001159500.1CTACGCCACTCAAGAAGCCATTGATGAAGGAGCCGCAACT
NanogNM_028016.1GGCTGCCTCTCCTCGCCCTTGTGCACACAGCTGGGCCTGA
ERASNM_181548.2TGCCCCTCATCAGACTGCTACCAAGCCTCGTGACTTTCCT
ATRXNM_009530.2CTTGCTTTGTTTCCGTGGCTCTCTTGTTTCCACTCATGGGCTC
RNF17XM_006519107.1CACCTAGTGGAGAGTGACCATCTAAATGCCTGTCAGGGGC
Viral vector generation

In order to generate vectors, we used the backbone for the STEMCCA Cassette[20], excising the stem cell genes using restriction enzymes. After evaluating a priority list of differentially expressed genes, we decided to generate cDNAs for two genes, Eras (Embryonic Stem Cell Expressed RAS, ENSMUSG00000031160) and Ring Finger Protein 17 (Rnf-17, ENSMUSG00000000365) and Essrb (Estrogen Related Receptor Beta, ENSMUSG00000021255) were generated in order to incorporate them into the cassette. RNF17 incorporation was not successful, therefore, only the ESRRB and Eras genes were used. Cassettes with c-myc and KlF-4 derived from Sommer et al[20], were also generated. We also generated a cassette with Nanog (NM_028016.1), as a positive control to ESRRB.

Viral generation

Lentiviral vectors were generated in human embryonic kidney 293T cells (Cell Biolabs, Cat # LTV-100), using a third-generation lentiviral system, following a previously described protocol[12]. Prior to transfection, the cells were plated on 10 cm collagen coated plates at a density that resulted in 60%-70% confluency at the time of transfection. A transfection mix was prepared with either 5, 10 or 15 μg of DNA of the genes generated in vector or control GFP lentiviral vectors (EF1alfa-GFP; generated in lab), packaging cassette (REV and Gag/Pol, 10 μg) and the VSV-G (5 μg) envelope expression cassette, respectively. The cells were then transduced with the mix, using 40 μL of Lipofectamine (Invitrogen) per plate. Eight hours after the addition of DNA, the transduced cells were washed with PBS and fresh complete media as used for mouse cells. Media with viral particles were collected every 24 h for the next 48 h and stored at 4 °C until complete. Viral particles were separated from cellular debris by centrifugation at 4000 g for 5 min followed by filtration through a 0.45-micron filter. The titer was measured using Quick-Titer (Cell Biolabs Inc, Cat # VPK-112) and promptly stored at -80 °C. If necessary, titer concentrations were increased by ultracentrifugation (SW-29 rotor) at 50000 g for 2 h, followed by re-suspension in PBS (pH = 7.2).

Lentiviral transduction

Transduction was performed in the Comprehensive Cancer Center of Puerto Rico, using the ViraDuctin system, as per supplier’s protocol (Cell Biolabs, Cat # LTV-201) in KO medium. Before transduction, cells were thawed and cultured in complete media until 80% confluent. After transduction, cells were grown for 10 d, then passaged (1st passage), and let to grow for approximately 10 d in KO medium. Viral transduction efficiency values were assessed at different vector concentrations in 48 well plates and cell colony-forming units quantified as before (Rosselló et al[12], 2013).

Proliferation assay

To assess proliferation, we used the MTT [3-(4,5-Dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide] Quantitative Cell Proliferation Assay (ATCC; Cat# 30-1010K). Briefly, tetrazolium salts are reduced metabolically by the cells, resulting in a colorimetric change. The resulting intracellular purple formazan is solubilized and quantified spectrophotometrically (at 570 nm). Cells were plated at 10000 cells/well (in quintuplets) and incubated for 24 h. Ten microliters of the MTT reaction solution was added to each plate and incubated for 3 h. One hundred microliters of detergent was added to each plate, stored for 2 h in the dark (room temperature), and the absorbance was measured at 570 nm using a Molecular Devices Emax Microplate Reader. ANOVA was performed to test for differences between cells and strain (n = 5 lines, per strain). Statistical significance was considered at P < 0.05.

Telomerase activity

Telomerase enzymatic activity was determined using the Quantitative Telomerase Detection Kit (BioMax, United States, MT3012), following the manufacturer’s protocol. Cell extracts containing proteins and RNA were generated from the ESC, iPSC, and control fibroblast, and then telomerase activity was measured. If telomerase is present, it adds nucleotide repeats to the end of an oligonucleotide substrate of the kit, which is subsequently amplified by real time qPCR. Quantitation was carried out by the PCR software of the BioRad Cx96 system. Positive control (template provided with kit) and negative control (heat inactivated samples) reactions were performed. Cycling conditions for the BioRad Cx96 real-time machine were as follows: 48 °C for 10 min and 95 °C for ten min, followed by 40 cycles of 95 °C for 15 s (denaturation) and 60 °C for 1 min (annealing/extension). All reactions were performed in quintuplets. Paired t-tests were performed to test for differences of telomerase in the induced and control fibroblasts of each cell line. Statistical significance was considered at P < 0.05.

Chimera formation

Blastocysts (from strain C57BL/6) were injected with control fibroblasts, primed ESCs, reprogrammed primed ESCs and positive control naive ESCs and implanted into recipient females of the same strain as has been previously done[21]. Briefly, we injected blastocysts, isolated from pregnant C57BLK/6 females, with fibroblasts, primed ESCs, reprogrammed primed ESCs, and positive control naïve ESCs (n = 4). All cells were labeled with GFP through viral transduction. Five days after injection, embryos were extracted and analyzed for incorporation. Embryos were placed in 70% EtOH solution, before being paraffined and sectioned for histological analysis.

Immunohistochemistry

GFP labeling (performed by the Duke University Pathology Lab, as before[12]) was performed on mouse embryos, or positive control tissue slides (GFP positive), that were cut at 5 μm on a paraffin block and mounted onto glass slides. These were dried for 40 min at 60 °C in an oven. The slides were deparaffinized in 3 changes of xylene (5 min each), 2 changes of 100% EtOH (3 min each), and 2 changes of 95% EtOH (3 min each). Rehydration was performed in dH2O for 1 min. To block endogenous peroxidase activity, 3% hydrogen peroxide was used for 10 min, followed by a rinse in dH2O to remove antigens. For the primary antibody [anti-Rabbit GFP Abcam ab290, diluted at 1:100 in PBS (pH = 7.1)], 200 mL of the citrate, pH 6.1, antigen-retrieval buffer from Dako (10 × concentrate) were used. The buffer was preheated to 80 °C in a Black and Decker vegetable steamer for 20 min. The slides were then cooled to room temperature. Slides were thoroughly rinsed in water and placed in TBST. After antigen retrieval, 10% normal rabbit serum was applied to the slides and incubated for 60 min at room temperature. Afterwards, they were washed with PBS and the excess was drained. After incubation, Vectastain Elite ABC was used, followed by DAB chromagen (Dako), and incubated for 5 min, followed by washing. All slides were counterstained in hematoxylin for 30 s. Slides were rinsed in tap water until clear and coverslipped.

Animal care and use

All appropriate measures were taken to minimize animal discomfort, monitor post operative recovery and establishing humane endpoints per our IACUC protocol A262-12-10.

Statistical analysis

Biostatistics were reviewed by an expert in biomedical statistics, in order to evaluate methods used, as per suggestions. For the gene comparative, the positive log fold change values mean that the gene expression is lower in the pluripotent cells. The same is true for the t value (which the P value is based on that shows the strength of significance). Although P and t values are linked, we use t values to determine differences between populations, in order to measure the size difference relative to the variation.

RESULTS
Morphology, proliferation and telomerase activity

At first glance, all ESC cells exhibit similar morphology. Those that had been determined to be primed, i.e., no germline transmission, showed round, cluster like formation, similar to naïve ESCs (Figure 1), as well as alkaline phosphatase activity (not shown). In addition, qRT-PCR was performed on all samples to determine expression of typical stem cell genes (Oct-4, Sox-2, Klf-4, Nanog). Here, they exhibited similar profiles (relative to control fibroblasts) (Figure 2). Normalization was performed with 18 s expression levels for each sample. In order to compare the expression levels of the different stem cells relative to fibroblasts, fibroblasts expression values were set at 1 (Figure 2). This normalization allows us to visualize and determine the difference between fibroblasts and the stem cell groups, relative to each other.

Figure 1
Figure 1 Primed and naive cells from different strains exhibit similar morphology. Cells that turn out to be primed are visually indistinguishable from otherwise fully naïve stem cells (scale bar 150 μm). ESCs: Embryonic stem cells
Figure 2
Figure 2 Differentially expressed genes in primed, naive and reprogrammed primed embryonic stem cells. qRT-PCR of known master factor stem cell genes and candidate genes selected from our microarray analysis (Tables 3 and 4, Figure 4). Differences are measured in relative expression levels (to control fibroblasts). Results show that master factor genes such as Oct-4, Sox-2 and Nanog are all significantly higher than the control fibroblasts (red) in naive (blue), primed (green) and reprogrammed primed cells (yellow). Primers used are shown in Table 2. Esrrb, Atrx and Rnf-17 are all significantly upregulated in naïve ESCs and reprogrammed primed ESCs, relative to primed ESCs. Pax-6 and BMP-7 are significantly upregulated in primed ESCs. Expression levels were measured in established ESCs and primed ESCs after the 30th passage, in re-programmed primed ESCs two passages after transduction, and in fibroblasts two passages after primary cells were extracted. Error bars indicate SEM within cell populations (Tukey’s post hoc, P < 0.001; n = 5 replicates of independent cell lines). ESCs: Embryonic stem cells.
Table 3 Top differentially expressed genes.
IDGene symbol (HUGO)tP value
1420106_atSiah1a3.3972827510.019877842
1451158_atTrip123.3975179880.019872832
1425223_atBirc33.3991885370.019837294
1455579_atCsng3.4077117270.019657099
1416670_atSetdb13.408367820.019643305
1448406_atCri13.4177994480.019446231
1420981_a_atLmo43.4240236760.01931741
1417831_atSmc1l13.4291118760.019212822
1423271_atGjb23.4409856050.01897126
1425329_a_atDia13.4442490870.018905474
1438223_atGrid23.4475755970.018838686
1422666_atCblc3.4581970890.018627226
1434755_atCoro2b3.4589122530.018613086
1422812_atCxcr63.4597676140.01859619
1416515_atFscn13.4605274290.018581195
1449371_atHarsl3.4608768870.018574304
1415772_atNcl3.4618001780.018556109
1448389_atWdr53.4735659460.018326028
1426389_atCamk1d3.4744540820.018308793
1424840_atRbks3.4764749530.018269645
1425234_at1700051I12Rik3.4779155520.018241796
1452638_s_atDnm1l3.4787504780.018225678
1430335_a_atPax33.4803749480.018194365
1427854_x_at3.4825748120.018152058
1452402_at3.4839875770.018124947
1438070_atPhf33.4871655880.018064131
1454061_atThumpd33.4882575850.018043287
1420053_atPsmb13.4889060780.018030922
1422546_atIlf33.5082098240.017667244
1418909_atErmap3.5094775950.017643654
1424498_at5730596K20Rik3.5157713280.017527076
1418065_atRag23.5201562610.017446374
1425961_atBC0165483.5207656430.017435193
1444953_at8430423A01Rik3.5243305080.017369944
1418227_atOrc2l3.5266728770.017327223
1419179_atTxnl43.5295894610.017274198
1423249_atNktr3.5322831030.01722539
1427554_atHel3083.532882540.01721455
1427643_at1200009O22Rik3.5433403980.01702668
1421869_atTrim443.5548677770.016822308
1427482_a_atCar83.5589118020.016751276
1432459_a_atRog3.5614125250.016707523
1438245_atNfib3.5652049590.01664142
1422956_atD1Pas13.5760765580.016453576
1422036_atStrn3.577621870.016427073
1453683_a_at1200008O12Rik3.5857574560.016288346
1419253_atMthfd23.5868464570.016269879
1420974_atSetdb13.5874777540.016259184
1431686_a_atGmfb3.5885939640.016240294
1430586_at2700007P21Rik3.5889693010.016233948
1423553_atDnajb33.5998396790.016051375
AFFX-18SRNAMur/X00686_5_at3.6129239550.015834729
1438748_at2700078E11Rik3.6130057970.015833384
1425605_a_atLmbr13.6147057260.015805487
1443589_atGpm6b3.6158564650.015786634
1425338_atPlcb43.616467140.015776639
1428132_atCdc42se13.6251132930.015635909
1450541_atPvt13.6283267030.015583973
1456565_s_atMap3k123.6312828460.015536369
1419052_atOvol13.6352872130.015472151
1451456_at3.6408209030.015383907
1452642_atTmem16f3.6468635410.015288205
1451021_a_atKlf53.6515562850.015214353
1421933_atCbx53.6529259060.015192876
1419241_a_atAire3.6552877040.015155921
1456190_a_atBC0311403.6596323970.015088211
1436162_atC730048C13Rik3.6683439470.014953486
1420517_at2310010I16Rik3.6690257570.01494300
1452408_at3.6693397520.014938174
1438215_atSfrs33.6740628230.014865793
1417757_atUnc13b3.6961402270.014532751
1417270_atWdr123.7069624080.014372629
1424942_a_atMyc3.7148595570.014257063
1422135_atZfp1463.7220895860.014152193
1425270_atKif1b3.7237483710.014128258
1428045_a_atElf23.7313809050.014018724
1427101_atMetrn3.7494920870.013762692
1419940_at4930488L10Rik3.7613725170.01359766
1435626_a_atHerpud13.765283560.01354383
1423437_atGsta33.7653177410.013543361
1449416_atFzd43.7756612380.01340218
1428160_atNdufab13.7783554330.013365684
1417029_a_atTrim23.7811465380.013327996
1455808_at4922502D21Rik3.7827476320.013306432
1430483_a_at2310042N02Rik3.7911621990.013193759
1424083_atRod13.7919598170.013183136
1460725_atXpa3.7925921860.01317472
1452318_a_atHspa1b3.7968966220.013117602
1421230_a_atMsi2h3.8124745180.012913258
1418349_atHbegf3.8178810320.012843195
1440192_at1810054D07Rik3.8542064130.012383645
1452243_atKcnj143.854967810.012374217
1451887_atLrba3.8574655890.012343347
1419900_atSin3a3.882876210.012034288
1450193_atHcn13.8911213720.011935929
1417905_atPrlpf3.8961517090.011876375
1434987_atAldh23.9022368410.011804791
1449118_atDbt3.9055703250.011765788
1420982_atRnpc23.9179751520.011621945
1424755_atHip13.9361080080.011415316
1446914_atEif2s23.9448328190.011317406
1455540_at3.9544210330.011210923
1456319_at3.9605196590.011143796
1438741_atRbm133.9713043630.011026221
1449597_at3.97207190.011017908
1416934_atMtm13.9754227070.010981701
1426196_at3.9816425630.010914857
1427765_a_atTcrb-V133.9880673730.010846303
1419277_atUsp483.9956426230.010766111
1438700_atFnbp44.0079344670.010637441
1451739_atKlf54.0096618130.010619502
1452415_atActn14.0134686510.010580091
1421595_at9630031F12Rik4.0264519590.010446942
1423093_atIncenp4.0569915360.010141312
1449729_at4.0593189650.010118447
1448371_atMylpf4.0604236820.010107615
1432007_s_atAp2a24.0611181750.010100812
1426375_s_atBC0198064.0617058410.01009506
1421267_a_atCited24.0671318510.010042127
AFFX-18SRNAMur/X00686_3_at4.0682446840.01003131
1424872_at2310001H12Rik4.0721703620.009993261
1448606_atEdg24.0764786230.009951696
1420930_s_atCatnal14.0939684510.009784998
1438082_at2310028N02Rik4.0968419990.00975792
1418569_at2410043F08Rik4.1098672540.009636263
1417178_atSemcap24.1118179990.009618195
1452620_atPck24.1137989610.009599886
1419116_at5430428G01Rik4.1279339820.009470413
1451902_atBC0214424.1647974160.009142157
AFFX-18SRNAMur/X00686_M_at4.1725584790.009074738
1449838_atCrisp34.1814035510.008998604
1450430_atMrc14.1949006670.008883849
1431893_a_atTprt4.1997798550.008842784
1453360_a_atTex94.2128742010.008733659
1418417_atMsc4.2224354640.008654964
1456225_x_atTrib34.2251327090.008632913
1427649_atWdr224.230980110.008585331
1452502_atSerf14.2341743450.008559468
1452070_atDedd24.270191160.008274009
1448457_atKrt2-6g4.2781336620.008212555
1416268_atEts24.2785919680.008209025
1425831_atZfp1014.2807528770.008192405
1449693_atMap3k74.2841192020.008166592
1449229_a_atCdkl24.2866470930.008147271
1452142_atSlc6a14.3050518670.008008185
1430634_a_atPfkp4.3167795980.007920996
1428060_atCd3z4.3236987760.007870073
1434326_x_atCoro2b4.3295793990.007827092
1424843_a_atGas54.3575744010.007626183
1421279_atLamc24.4045127810.007302618
1421496_at2410116I05Rik4.406465570.007289506
1419921_s_atUsp74.4094995330.007269189
1448348_atGpiap14.4112574740.007257448
1423809_atTcf194.5168188630.006591172
1429427_s_atTcf7l24.5553658140.006365827
1431117_x_at1810029B16Rik4.5938374260.006149825
1450791_atNppb4.6102639470.006060208
1451524_atFbxw24.6197414720.006009196
1426458_at4.6213448190.006000616
1431716_atHerc44.6218956130.005997671
1421257_atPigb4.6282465410.005963844
1425285_a_atRab27a4.630661770.005951038
1425709_atRnf174.6840988990.005675746
1418460_atSh3d194.7500246950.005356347
1434674_atLyst4.7762369810.005235221
1422567_atNiban4.8184504920.005046817
1423154_atBC0055374.8305140810.00499444
1425837_a_atCcrn4l4.8861638060.004760904
1419929_at4.9340076390.004570291
1427285_s_at2210401K01Rik4.9714309150.004427403
1424841_s_atRbks4.9992297460.004324644
1456511_x_atEras5.0029536770.004311091
1460464_at2700089E24Rik5.0119902250.004278412
1435106_at3732412D22Rik5.0678381570.004082764
1420605_atMtag25.1060478840.003954942
1438403_s_atRamp25.13025740.003876383
1438824_atSlc20a15.1532446710.003803479
1422986_atEsrrb5.1812406880.003716852
1437867_at5.2026743060.003652093
1451416_a_atTgm15.2185185970.003605072
1455930_at5.2748061470.003443681
1422903_atLy865.2948798890.003388188
1420947_atAtrx5.298616090.003377976
1426267_atZbtb8os5.3215558040.003316062
1420946_atAtrx5.3398068510.003267753
1443949_atPpp2r5e5.3751192990.003176613
1418189_s_at5.3799281170.003164434
1427408_a_atThrap35.4799194430.002923217
1418188_a_at5.5100997660.002854707
1416325_atCrisp15.5289679260.002812835
1423411_atBC0134815.5604939250.002744476
1449167_atEpb4.1l4a5.6325158850.002595515
1417755_atTopors5.6567051050.002547636
1424786_s_atWdr455.7062405540.002452797
1417548_atSart35.7185747470.002429833
1420781_atEtos15.7577492640.002358561
1425019_atUbxd45.8300103270.002233456
1420909_atVegfa5.9320316250.002069901
1450051_atAtrx5.9787993120.001999675
1420169_at6.108583830.001819049
1447984_atGpatc26.1328864350.001787407
1422259_a_atCcr56.2595094950.001632696
1442566_atJarid26.2675168620.001623457
1437534_at6.4159890610.001462848
1428786_at4930568P13Rik6.8973426170.001057372
1418350_atHbegf8.3893514150.00043149
1449898_at1-Sep9.1331489150.00029058
Table 4 Top gene ontology (proliferation).
CategoriesDiseases or functions annotationP valueNo. of molecules
Cellular growth and proliferationProliferation of cells1.08E-08114
Cellular development, cellular growth and proliferationProliferation of stem cells5.45E-0511
Cellular development, cellular growth and proliferation, embryonic development, developmentProliferation of embryonic cells4.41E-0413

Doubling times were observed to be similar in all six cell types (3 naive, 3 primed), but were also put to the quantitative test with an MTT Assay. After 5 passages, there was no significant difference between cells, and they all maintained steady rates (Figure 3A).

Figure 3
Figure 3 Proliferation and telomerase. Time course of self-renewal and proliferation of stem cells (potential induced pluripotent stem cells-like cells and embryonic stem cells) relative to control fibroblast (red) as measured by the MTT [3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenilytetrazolium bromide] assay (read at 570 nm). mESCs (blue) and primed mESCs (green) exhibit similar patterns of proliferation, while fibroblast proliferation diminishes as time passes. Telomerase activity was greatly increased (lower mean CT) in both mESCs and primed mESCs over control fibroblast cells. Error bars, SEM (n = 5 independent replicates for both MTT and telomerase data). mESCs: Mouse embryonic stem cells; CT: Cycle threshold.

Finally, we assessed telomerase activity in all cell types. Telomerase expression is low or absent in most somatic tissues, such as our control fibroblasts, but not in germ cells, stem cells, and tumors. The telomerase binds to a particular repeat sequence TTAGGG present at the ends of chromosomes of most eukaryotic species and extends them during cell replication. While telomerase activity was significantly lower in the control fibroblast cells, there was no significant difference between the naïve and primed ESC groups (Figure 3B).

Differentially expressed genes

The gene array that was utilized (Affymetrix Mouse 1.0 ST Array), evaluated a total of 22690 genes. Our analysis included all of the genes, and a priority list was established for those that were differentially expressed (Table 3). We used a positive log fold change to evaluate the differences. A positive log fold change indicates that gene expression is lower in the naïve cells. The same is true for the t value (which the P-value is based on that shows the strength of significance).

A gene ontology analysis was performed on the top set of genes using the Ingenuity Pathway Analysis. We have provided a detailed list of all significant gene ontology categories and the genes within (Table 4). Cell proliferation is the most significant gene ontology category. The P-value estimated from the current version of the IPA database (October 2015) is 1.08E-8. The gene ontology categories we searched are comprised of thousands of complex overlapping hierarchies. Further analysis was performed examining significant sub-categories listed under proliferation. The two sub-categories that passed our significance threshold were “proliferation of stem cells” at P = 5.45E-5 and “proliferation of embryonic cells” at P = 1.41E-4 (Table 4). These two, more specific, categories further connect the results of our gene ontology analysis to the function of embryonic stem cells. These two candidate genes (ESRRB and ERAS), as well as the others we highlight (KLF5 and MYC) are found in the significant “proliferation” sub-categories. Only 18 distinct genes are found in these two sets. Estrogen-Related Receptor Beta (Esrrb), Eras and myc are found in “proliferation of embryonic cells” (Table 4). The other significant sub-category of proliferation, “proliferation of stem cells”, contained the genes Eras, Kruppel-Like Factor (Klf-5), and myc (Table 4).

Thus, we turned our attention to a particular set of genes that were differentially higher in naïve stem cells. In particular, Klf-5 (5 1451021_a_at, 1451739_at), c-myc (1424942_a_at), Rnf-17 (1425709_at), Esrrb (1422986_at), Eras (ES Cell Expressed Ras 1456511_x_at) have been implicated in stem cell growth and pluripotency. It is important to note that there were several genes that were upregulated in the primed, that are implicated in differentiation, such as bone morphogenetic protein 7 (Bmp-7) and paired box 6 (Pax-6). Microarray results were validated using qRTPCR (Figure 2).

Manipulation of primed cells and in-vivo incorporation

Primed cells were transduced with GFP containing vectors expressing either Essrb or Eras. In addition to these two genes, cells were transduced with c-myc and Klf-4. Gene expression was assessed with RTPCR (Figure 2, only ESRRB + c-myc + Klf-4 transduced cells shown). Embryos injected with primed transduced cells over-expressing ESRRB were able to incorporate into mouse embryos, whereas those same cell controls were not. When ESRRB, c-myc and Klf-4 where expressed in the same primed ESC, cells incorporated into 5 out of 6 of the embryos (Figure 4). However, cells overexpressing Eras alone, or Eras with Klf-4 and c-myc, were not able to incorporate, with the exception of one sample containing all three (1 out of 6). Cells transduced with c-myc and Klf-4 only did not incorporate. Cells overexpressed with Nanog only did not incorporate, demonstrating that the effect is Esrrb dependent. Positive control groups (naïve ESCs, Figure 4C) and negative control groups (fibroblasts, Figure 4A) showed the expected results.

Figure 4
Figure 4 Sample tissue of mouse embryos after blastocyst injections of embryonic stem cells (100 ×). Five days old embryos that were produced with GFP labeled cells were sectioned and stained for GFP (brown color). Sample tissues are shown here. Cells that were reprogrammed with Esrrb + Klf-4 + c-myc integrated into the embryo (D), as well as positive control naïve ESCs (C). No incorporation was observed in the primed state (B) or in control embryos injected with fibroblasts (A). Sample size was set at n = 4 mice per cell type. ESCs: Embryonic stem cells; GFP: Green fluorescent protein.

Given the results, we performed expression profiles on Esrrb levels of primed ESCs. The data shows that all of them expressed significantly less Esrrb than their naive counterparts.

DISCUSSION

Establishing mouse ESC cell lines from blastocysts or after gene targeting experiments can be a laborious endeavor, which may produce naïve or primed ESCs. Here we report that, although there are no significant differences in morphology, proliferation, telomerase activity, there are however some significant differences in the expression level of key genes. Upregulation of key genes is observed in primed cells that indicate differentiation, such as Bmp-7 and Pax-6. Bmp-7 is a bone morphogenetic protein has been shown to be important in development, particularly, bone formation[2,22] and embryogenesis[23]. Pax-6 is a transcription factor that is implicated in embryonic development, particularly the brain and eye[24], ensuring proper tissue formation. Although further studies are necessary, overexpression of these factors, relative to a base ESC range, could provide an early marker to determine if the cell clones are naïve or primed.

Our attention focused on genes that were downregulated in primed ESCs. Ingenuity Pathway Analysis showed that the top gene ontology category was proliferation. Interestingly, there was no significant difference in proliferation rates, when measured by MTT (Figure 3A). However, some of these genes have also been implicated in pluripotency and stem cell self-renewal. This may indicate that either pluripotency genes are the driving force, or that diminishing proliferation rates may be small and biologically significant or may be observed in further cell passages. In any case, downregulation of these genes may serve a similar diagnostic purpose as the upregulated ones.

Specifically we examined several genes that were downregulated in primed cells; namely Eras Esrrb, c-myc, Klf-5, Atrx, and Rnf-17. All of these genes were shown to be significantly downregulated relative to funtional ESCs (Figure 2). Eras produces a constitutively active product that stimulates ESC proliferation[25], while Esrrb has been shown to have an essential role in placental development and has recently been used as a marker for iPSC reprogramming and substitute for Sox-2[26,27]. Eras has been identified to provoke tumorigenic growth, expressed only in stem cells and silenced in somatic cells due to epigenetic changes. Adding Eras exogenously in a constitutively expressed promoter would overcome this limitation. Asides from Sox-2, Esrrb has also been identified as prominent transcription factor that targets Nanog[28]. However, interestingly, when overexpressing Nanog only in primed cells, they did not acquire a naïve phenotype, showing that ESRRB’s role spans beyond only NANOG. In fact, ESRRB’s role interacting with key stem cell master factors, made it a prime candidate to study not only as a diagnostic indicator, but also as a potential reprogramming factor[29]. In addition ESRRB has been implicated as key downstream regulator of self-renewal, downstream of GSK-3[27]. Inhibition of GSK-3 has been implicated in supporting mESC state.

Low induction of endogenous Klf-5 may be due to the redundancy of the Klf family[30], or a lineage specific difference of mammals. It has been shown that the Klf family preferentially regulates genes involved in cell adhesion, either activating or inhibiting adhesion, and that cell adhesion can inhibit proliferation[31]. Myc, in particular c-myc, is known to induce proliferation, by repressing growth arresting genes[32]. This makes it a key contributor in inducing the self-renewal state of the cell. Recently, other factors that are less oncogenic have been shown to be suitable substitutes for c-myc, such as Glis1[14]. However, Glis1 is not differentially regulated between the naïve and primed cell types. Although we were not able to produce Atrx and Rnf-17 vectors, they do serve as key indicators. Atrx [alpha thalassemia/mental retardation syndrome X-linked homolog (human)] is known for its role in mental retardation, but it has recently been shown that it is a key element in maintaining telomere integrity in pluripotent stem cells[33]. Three different times this gene (1420947_at 1420946_at and 1450051_at) is in the top 20 genes downregulated, and differences in expression level were significant (Figure 2 and Table 4). Future studies will look at this particular gene and its novel function. Rnf-17 is involved in early stages of germ cells, such as PGCs[34,35]. It is also known that Rnf-17 enhances c-myc function, through interaction with all four known Mad proteins[36]. Although germline transmission is beyond the scope of this paper, primed cells do not possess this quality. We encourage others to examine the differentially expressed genes to further elucidate important mechanisms in the maintenance and plasticity of ESCs (Table 3).

It is interesting to note that key stem cell “master factor” genes, such as Oct-4, Sox-2 and Nanog[37], are not differentially expressed in cells whose in-vivo function is limited. These results may therefore yield insights into proper reprogramming of iPSCs, as all of these genes may be upregulated, but other key co-regulators may be lagging.

Another important question in our project was to determine if we could restore the fully functional naïve phenotype, by overexpressing some of these key genes. Here we show at least one combination of transfections (Esrrb + Klf-4 + c-myc) in primed cells was able to alter the expression profile and establish functionality as determined by the degree of incorporation of ESCs into embryos (Figure 4). Also, in two cases, Esrrb was sufficient to establish pluripotency in primed stem cells. We do not claim that these vectors will work for every case, but do demonstrate the principle that these cells can be reprogrammed into a naïve state, without the need for the OSCK cassette[20]. This suggests that, through genetic manipulation, it is possible to restore the functional naïve state of a primed mESC. The results may be a translational gateway into reprogramming human ESCs, into a naïve state with full ESC features and function.

Although there were strain differences observed in terms of gene expressions, all of the genes utilized in our experiments were differentially expressed in both C57BL/6 and 129SV derived ESCs. Further studies are needed to assess if there are significant strain differences, and what their implications are.

Our study shows that there is a significant set of genes that are differentially expressed between naïve and primed mESCs. These genes tend to be implicated in proliferation and pluripotency. Overexpression of at least one set of genes restores the functional naive phenotype in the primed cells. Taken together, primed cells can be identified at early stages, allowing the researcher to disregard this cell type or attempt to change it into a naïve state. Future studies into other genes, such as ATRX, should yield further insight into the nature of ESC functionality and phenotypes, providing a platform to study the ESC ground state and iPSC reprogramming fate.

ACKNOWLEDGMENTS

We’d like to thank Erich Jarvis for his support, mentoring and comments throughout this project, and Gustavo Mostoslavsky (Boston University) for providing the STEMCCA cassette vector. We would also like to thank the University of Puerto Rico Comprehensive Cancer Center, for the lab space provided to perform some of the experiments. ES cell targeting experiments, blastocyst injections for generation of chimeras, and mating of chimeric males to test for germline transmission were performed by the Duke Neurotransgenic Laboratory. Microarray analysis was performed in the Duke University DNA analysis facility.

COMMENTS
Background

Derivation of mouse embryonic stem cells (ESCs) or gene targeting of ESCs is a lengthy process that sometimes produces cell lines that have all of the features inherent in ESCs, but fail to incorporate into the germline. Identifying this limitation takes many months, from blastocyst injection of ESCs to testing chimeric males for germline transmission of the ESC genome.

Research frontiers

Cell plasticity, reprogramming, and maintenance of stem cells are all inherent topics in this research.

Innovations and breakthroughs

No study, that the authors are aware of, had looked at the differences between two phenotypically identical stem cells, and determined the features that make them behave differently. In addition, here the authors demonstrated that the incorporating/pluripotent feature can be induced in these stem cells as well as potentially controlled.

Applications

Researchers will be able to detect within days if the stem cells they are working with have the capacity to be functional, i.e., generate germline transmitting chimeras, or not. This is a key feature that will save time, money, and effort.

Terminology

Several proteins and gene products are discussed in this paper. Importantly, ESRRB is an estrogen related receptor beta that has been implicated as a downstream regulator of self-renewal and embryonic stem cell expressed RAS, has been implied with tumorigenic growth in stem cells.

Peer-review

The paper is well written and addresses an important issue of the ESC functionality. Authors performed transcriptom analysis of functional and non-functional ESC lines and found some differences in gene expression signature. Overexpression of the downregulated ESRRB gene along with Klf-5 and c-myc provided better chimera formation.

Footnotes

Manuscript source: Invited manuscript

Specialty type: Cell and tissue engineering

Country of origin: Puerto Rico

Peer-review report classification

Grade A (Excellent): 0

Grade B (Very good): 0

Grade C (Good): C, C, C

Grade D (Fair): 0

Grade E (Poor): 0

P- Reviewer: Kiselev SL, Lee Y, Sarkadi B S- Editor: Ji FF L- Editor: A E- Editor: Wu HL

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