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Mol Ther Nucleic Acids. Aug 2012; 1(8): e34.
Published online Aug 7, 2012. doi:  10.1038/mtna.2012.29
PMCID: PMC3437805
MicroRNA-181a* Targets Nanog in a Subpopulation of CD34+ Cells Isolated From Peripheral Blood
Paul J Mintz,1* Pål Sætrom,2,3 Vikash Reebye,1 Marie B Lundbæk,2 Kaiqin Lao,4 John J Rossi,5 Karin ML Gaensler,6 Noriyuki Kasahara,7 Joanna P Nicholls,1 Steen Jensen,1 Abdelali Haoudi,8 Mohamed M Emara,8,9 Myrtle YA Gordon,10 and Nagy A Habib1*
1Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
2Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
3Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway
4Genetic Systems, Applied Biosystems, Part of Life Technologies, Foster City, California, USA
5Division of Molecular Biology, Beckman Research Institute of City of Hope, Duarte, California, USA
6Department of Medicine, University of California, San Francisco, California, USA
7Department of Medicine, UCLA School of Medicine, Los Angeles, California, USA
8Qatar Biomedical Research Institute, Education City, Doha, Qatar
9Department of Virology, School of Veterinary Medicine, Cairo University, Cairo, Egypt
10Department of Hematology, Faculty of Medicine, Imperial College London, London, UK
*Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK. E-mail: nagy.habib/at/imperial.ac.uk
*Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London. E-mail: p.mintz/at/imperial.ac.uk
Received May 10, 2012; Revised June 27, 2012; Accepted June 27, 2012.
Exploiting the properties of stem cells by microRNA (miRNA) profiling offers an attractive approach to identify new regulators of stem cell fate. Although numerous miRNA have been screened from hematopoietic stem cells (HSC), the targets corresponding to many of these miRNA have not yet been fully elucidated. By miRNA profiling in a subpopulation of CD34+ cells isolated from peripheral blood, we have identified eight clusters of miRNA that were differentially expressed. Further analysis of one of the clusters by bioinformatics revealed that a miRNA, miR-181a*, which is highly expressed in the adherent CD34+ cells, affects the expression levels of Nanog, a stem cell surrogate marker. We show specifically by reporter assay and mutational analysis that miR-181a* targets a seedless 3′ compensatory site in the 3′UTR of Nanog and affects gene expression. We demonstrate that inhibiting miR-181a* upregulates the Nanog expression level, in addition to an increase in alkaline phosphatase activity. Our studies suggest that miR-181a* may be important in controlling the expression level of Nanog in a subpopulation of CD34+ cells.
Keywords: CD34+, Nanog, miR-181a*, stem cells
In recent years, studies in embryonic and somatic stem cells have provided basic insight into the molecular and cellular properties of stem cells.1 It is recognized that pluripotent stem cells such as embryonic stem cells (ESC) can replenish differentiated cell types and achieve long-term tissue reconstitution. Similar to ESC, adult stem cells also have the capacity for self-renewal and multilineage differentiation.2 Adult stem cells constitute ~1–2% of the total cell population within a specific tissue and are essential for maintaining homeostasis. These cells are normally quiescent and are held in an undifferentiated state within their niche until they receive a signal to self-renew or differentiate.3 They reside in various tissue types including the bone marrow, brain, digestive system, skin, retina, muscles, pancreas, and liver.4
Hematopoietic stem cells (HSC) are the most widely studied and characterized adult stem cells.5 They play an essential role in sustaining the formation of the blood and the immune system.6,7 These adult stem cells reside in the bone marrow along with mesenchymal stem cells (MSC).5,8 It was previously thought that adult stem cells were lineage restricted; however, recent studies have shown that HSC and mesenchymal stem cells have enormous plasticity.9,10 These characteristics have made them attractive for developing stem cell-based therapies. Moreover, they offer several advantages including ease of manipulation, lack of serious ethical issues and, in the autologous setting, the absence of immunogenicity.
MicroRNAs (miRNAs) are short single-stranded RNA molecules of about 17–25 nucleotides that control gene expression post-transcriptionally in many different cellular processes either by blocking translation or by inducing mRNA degradation through sequence complementation.11,12,13,14 Although numerous signaling pathways, transcription factors and epigenetic changes are essential cellular regulators in determining stem cell fate, recent studies have shown that miRNAs are also implicated in coordinating the necessary changes in gene expression.15 Typically, miRNAs are capable of controlling the fate of cells in a time and tissue specific manner through regulation of cellular differentiation, developmental patterning, and morphogenesis. Therefore, manipulation of miRNAs could potentially be a useful approach to developing strategies for stem cell therapy.
In this study, we investigated the role of miRNAs in an adherent subpopulation of CD34+ cells isolated from granulocyte colony-stimulating factor mobilized peripheral blood cells. We identified several clusters of miRNAs that were differentially expressed in these stem cells by miRNA profiling. Further analysis of one of the clusters revealed a miRNA that targets the stem cell gene Nanog. We show specifically that miR-181a* targets the 3′UTR of Nanog. Our data provide evidence that miR-181a* targets Nanog in a subpopulation of CD34+ cells.
miRNA expression in CD34+ progenitor cells
We performed miRNA profiling on a subpopulation of adherent CD34+ cells mobilized peripheral blood cells.16 Using a 466 miRNA chip, we compared the miRNA signatures of adherent and nonadherent CD34+ cells (Figure 1a). These two subpopulations of CD34+ cells have previously been established as having distinct morphology, immunophenotype, and gene expression profile.16 Moreover, the adherent CD34+ cells display greater plasticity than the nonadherent population as they have the potential to express determinants specific to liver, pancreas, heart, muscle, and nerve cell differentiation.16 Hierarchical clustering revealed eight unique miRNA clusters that were differentially expressed in the adherent and nonadherent populations. This finding is not entirely surprising since the biological roles of miRNAs are known to vary according to their expression in distinct cell populations in normal tissues.17,18 Interestingly, there were several miRNAs that have not been previously characterized for human in cluster 8 (Table 1). We were particularly interested in the miRNAs in cluster 8 because among the miRNAs in this cluster, miR-181a* (miR-181a-3p) was highly upregulated and studies have also shown that the miR-181 family are associated with regulation of CD34+ cells. However, the mRNA targets are largely unknown.18,19 We did identify some conserved regions within the mature human miR-181 family of sequences which consist of miR-181a, miR-181b, miR-181c, and miR-181d (Figure 1b). We have taken the first step toward better understanding the role of miR-181a* in CD34+ cells.
Figure 1
Figure 1
MicroRNA profile of CD34+ stem cells. (a) Unsupervised hierarchical clustering heat map of microRNA (miRNA) expression using expression levels (Ct value) of 192 miRNAs, P < 10–5. Higher Ct values correspond to a lower expression level (more ...)
Table thumbnail
miRNAs from cluster 8 targets and functions in human stem cells
We first determined whether miR-181a* affected the alkaline phosphatase activity in these cells. Higher alkaline phosphatase activity is generally associated with stem cells that are in a less differentiated state.20 We found increasing levels of alkaline phosphatase activity in cells transfected with miR-181a* inhibitor when compared to transfection with miR-181a* mimic (Figure 1c). The data raises the possibility that these stem cell population could be maintained in a less differentiated state by inhibiting miR-181a* expression.
miRNA-181a* targets Nanog 3′UTR
We next applied an in-house genomic-bioinformatics database to identify and validate potential candidate target messages for miR-181a*. Being important factors in stem cell maintenance, the genomic loci of Nanog, STAT3, Hic1, Sox2, HoxB4, and Pou5f1 (Oct4) were scanned for putative target sites that was complementary to the miR-181a* sequence (5′-accaucgaccguugauuguacc-3′). Specifically, the annotated 3′ UTR sequences of these genes were scanned for seed sites with perfect reverse-complementarity to miRNA-181a* seed sequence (nucleotides 2–7 from the 5′ end) and sites with strong overall complementarity to miRNA-181a*. Of the putative target genes, we discovered that miR-181a* formed the most stable base pairing at the Nanog 3′UTR (Figure 2a). Since Nanog is an important regulator of stem cell maintenance and self-renewal,21 we determined whether miR-181a* targeted Nanog transcripts. Using endpoint reverse transcription-PCR (RT-PCR) (Figure 2b) and quantitative RT-PCR (Figure 2c) in transfected CD34+ stem cells, we found that inhibiting miR-181a* significantly upregulates transcript levels of Nanog. It has been reported that there exists a sensitive feedback loop that maintains the differentiation of stem cells through the control of essential stem cell genes such as Nanog. This loop enables where by environmental or molecular cues to influence the expression levels of genes, leading to a binary decision to switch downstream differentiation genes on or off.22 The data raises the possibility that miR-181a* may be involved in directly regulating Nanog expression in CD34+ stem cells.
Figure 2
Figure 2
Identification of miR-181a* target gene. (a) Nanog genomic locus (hg18) and complementarity-binding site for miR-181a*. (b) mRNA expression level of Nanog by endpoint reverse transcription-PCR (RT-PCR) analysis. The panel shows quantified (more ...)
Target validation of miR-181a* to the Nanog 3′UTR via 3′-compensatory site
To gain more insight into the functional interaction between miR-181a* and Nanog mRNA, we further interrogated the entire sequence alignment between the two RNA molecules. We discovered a high degree of base pairing at the 3′ region (7 nucleotides) and a weak base pairing at the 5′ seed site of miR-181a* (Figure 3a, top panel). In general most miRNA target sites have a strong base pairing at the 5′ seed site (7–8 nucleotides).11 However, the 5′ seed site rule is not always the case and studies have shown that the 3′ region of miRNA also play an important role in targeting mRNA but are rare events.11 These sites at the 3′ region of miRNAs are called 3′-supplementary and 3′-compensatory sites.11,23,24 In addition to the 3′ sites, a recent report has identified another site called the centre site25 suggesting that miRNA targeting is more complex and diverse. In our case, because the base pairing at the 5′ seed site of miR-181a* was weak, we speculated that the strong complementarity pairing at the 3′ region would compensate and may follow the 3′-compensatory site rule similar to one of the earlier miRNA that was discovered such as let-711,26 (Figure 3a, bottom panel). Both miR-181a* and let-7 miRNAs, in this setting show a very similar overall structural identity in the way they bind to their targets. To determine whether the 3′ region of miR-181a* was important, we generated, using RNAhybrid modeling,26,27 the most energy stable complementarity base pairing between miR-181a* and Nanog 3′ UTR mRNA (Figure 3b, top panel) as well as determining the best mutations that would disrupt the 3′ region base pairing. This was generated by replacing two bases at the 3′UTR of Nanog (Figure 3b, bottom panel).
Figure 3
Figure 3
Functional analysis of miR-181a* and Nanog 3′ UTR region. (a, Top panel) a schematic of the base pairing between Nanog 3′UTR and miR-181a*. (a, Bottom panel) an example of compensatory pairing as seen with let-7 microRNA (more ...)
To test this modeling we generated a dual-luciferase reporter construct for miR-181a* and Nanog 3′ UTR mRNA. We inserted, upstream of the firefly luciferase gene, either the wild-type 3′UTR of Nanog or a mutant variant containing the two point mutations predicted to abolish miR-181a* targeting (Figure 3b, bottom panel). Transfecting the wild-type Nanog 3′UTR reporter construct by itself or with the miR-181a* mimic into CD34+ stem cells significantly reduced expression of luciferase (Figure 3c). Transfecting miR-181a* inhibitor caused a significant reversal in suppression of luciferase expression indicating that binding of miR-181a* to the 3′UTR of Nanog was suppressed thus allowing expression of the luciferase reporter. By contrast, transfection of the mutant Nanog 3′UTR reporter alone or in combination with miR-181a* mimic or inhibitor had no repressive effect on expression of the luciferase reporter (Figure 3c). This data therefore suggests that miR-181a* directly targets the 3′UTR region of Nanog. This is the first attempt to characterize miR-181a* in CD34+ cells and we have identified Nanog as its potential target.
Understanding the cellular and molecular mechanisms responsible for the multi-pluripotency of stem cells will be critical for their practical use in therapy. MicroRNAs have been shown to be important and necessary for proper stem cell regulation.18,28,29,30 In this study, we generated a miRNA profile from a subpopulation of adherent CD34+ cells isolated from G- colony-stimulating factor mobilized peripheral blood and demonstrated a marked difference in expression patterns for a small cluster of miRNA. Using bioinformatics, we identified Nanog as a potential target for miR-181a*. Interestingly, there have been works published regarding other potential targets for the miR-181 family. For example, miR-181b has been shown to be an important regulator of nuclear factor-κB signaling in the vascular endothelium by targeting importin-α3.31 In another cell type, miR-181b has been shown to target Tcl1 oncogene in chronic lymphocytic leukemia.32 Similar to miR-181b, miR-181a also has several targets such as Prox1 in lymphatic endothelial cells, C2H2 zinc-finger proteins, and multiple phosphatases such as SHP2, PTPN22, DUSP5, and DUSP6.33,34,35,36
Although miR-181a*′s binding site within the 3′UTR of Nanog displayed a weak canonical 5′ miRNA seed pairing, it also showed strong complementarity at the miRNA 3′ end and at the central Ago2 catalytic site 10–11 nucleotides from the 5′ miRNA site.27 This binding pattern is similar with the “3′ compensatory site model previously identified with let7-miRNA.”11,23 Importantly, by introducing two point mutations to disrupt the 3′ and central complementary sites, we abolished miR-181a* regulation of a reporter construct containing the 3′UTR of Nanog. Our studies highlight a new stem cell-related target for the miR-181 family and show that miR-181a* directly targets Nanog.
Isolation and growth of a CD34+ stem cell population. The hematopoietic blood samples were obtained with informed patient consent and approved by the Hammersmith Hospital Research Ethics Committee. Samples of granulocyte-colony stimulating factor mobilized peripheral blood progenitor cells were processed by leukapheresis at the Stem Cell Laboratory at the Hammersmith Hospital. Briefly, human mobilized peripheral blood samples were diluted in a ratio of 1:4 in Hanks'-buffered saline solution (Gibco, Paisley, UK), the mononuclear cells were separated by centrifugation over a Lymphoprep (Dundee, Scotland) density gradient at 1,800 rpm for 30 minutes. The mononuclear cell fraction at the interface was aspirated and washed twice with Hanks'-buffered saline solution, and finally with MACS buffer (phosphate-buffered saline solution) at pH 7.2 supplemented with 0.5% bovine serum albumin and 2 mmol/l EDTA). CD34+ cells were isolated using a CD34+ isolation kit (Miltenyi Biotec, Cologne, Germany) according to the manufacturer's protocol. Adherent CD34+ progenitor cells were isolated as previously described with modification.16 Briefly, isolated CD34+ cells were added to 24-well or 35-mm tissue-culture treated dishes (Nunc, Roskilde, Denmark) at a density of 2.5–5 × 105 cells in α-minimum essential medium to isolate the adherent CD34+ cell population. After 30-minute incubation, nonadherent cells were removed and adherent cells were rinsed three times with phosphate-buffered saline or α-minimum essential medium. The adherent CD34+ cell population was grown in a serum-free medium (CellGro; CellGenix, Freiburg, Germany) containing three cytokines: 250 ng/ml of stem cell factor, 250 ng/ml of interleukin-6, and 250 ng/ml of interleukin-3 (Invitrogen, Paisley, UK) in 0.5% penicillin/streptomycin antibiotics. Cells were incubated at 37 °C in 5% CO2. Total viable cells were counted using the trypan exclusion assay. For the alkaline phosphatase assay, ~2.5 × 105 progenitor cells in 24-wells were transfected twice with the oligonucleotides at 100 nmol/l and the cells were harvested 72 hours later as described in the alkaline phosphatase assay kit (Cell Biolabs, San Diego, CA and Millipore, Billerica, MA). Equal protein load at 100 µg of protein was used for the assays and the reaction was measured after 1-hour incubation at 37 °C at 405 nmol/l in an ELISA reader.
MicroRNA profiling. The detailed miRNA protocol is described previously.37 Adherent and nonadherent cells were added into a PCR tube and heat-treated at 95 °C for 5 minutes. Then the miRNAs were reverse transcribed into cDNAs by 460 miRNA-specific stem-looped primers. Then these miRNA cDNAs were amplified by 18 cycles of PCR by 460-specific forward primers and a universal reverse primer. Finally, the cDNAs were split and individual miRNA was measured by TaqMan probe-directed real-time PCR. All reactions were duplicated. The PCR was done as following by AB7900 with 384-well plates: first, 95 °C for 10 minutes to activate the Taq polymerase. Then 40 cycles of 95 °C for 15 seconds (for denaturation) and 60 °C for 1 minute (for annealing and extension) were performed. Two replicates were performed for each sample. Two independent allogenic donor samples were used in the analysis. In order to obtain sufficient total RNAs, the adherent CD34+ progenitor cells were combined from the two donors.
RT-PCR and quantitative real-time RT-PCR. The miRNA-181a* mimic and inhibitor were purchased from Dharmacon, Lafayette, CO. The oligonucleotides were transfected (at day 0 and again at 24 hours) at 100 nmol/l into 1 × 105 adherent CD34+ stem cells using Nanofectamine reagent following the manufacturer's recommendation (PAA, Pasching, Austria). Total RNA was harvested using the RNAqueous-Micro kit (Ambion, Paisley, UK) 72 hours post-transfection. The RNA was quantified using the Nanodrop 2000 micro-sample quantitator. Five hundred nanogram of total RNA from each sample was reverse transcribed using the One-Step RT-PCR kit from Qiagen (Hilden, Germany) following the manufacturer's recommendation. Expression of human Nanog was measured semiquantitatively by PCR using primer pair from R&D Systems (Minneapolis, MN) after 32 cycles at 94 °C for 45 seconds. 55 °C for 45 seconds and 72 °C for 45 seconds. GAPDH primers: Forward (5′GTGAAGGTCGGAGTCAACG3′) and Reverse (5′GGTGAAGACGCCAGTGGACTC3′) was used as a loading control after 30 cycles at 94 °C for 45 seconds. 60 °C for 45 seconds and 72 °C for 1 minute. The samples were separated on agarose gel and analyzed using UVP Geldoc system (UVP, Upland, CA). Four sets of band intensity across three independent experiments were used for semiquantitative analysis. For the quantitative real-time RT-PCR, 500 ng of total extracted RNA (as described above) was processed for elimination of genomic DNA followed by reverse transcription using the QuantiTect Reverse Transcription kit from Qiagen. The first strand cDNA synthesis was then amplified for quantitative analysis of human Nanog (NM_024865) and the reference gene, human gluceraldehyde-3-phosphate-dehydrogenase (GAPDH) (NM_002046) using QuantiFast SYBR Green PCR Kit from Qiagen. Amplification was performed using Applied Biosystems 7900HT FAST-Real-Time System with 40 cycle conditions at 95 °C–15 seconds and 60 °C–45 seconds with a total volume of 25 µl per sample. Amplified products were then analysed using Applied Biosystems RQ Manager 1.2.1. Four independent experiments were amplified in triplicates for quantitative analysis. Student t-test scoring was performed at 99% confidence intervals.
Bioinformatic analysis. Sequence annotations and data were downloaded from version hg18 of the UCSC table browser's RefSeq Genes track.38 The genomic loci Nanog, STAT3, Hic1, Sox2, HoxB4, and POU5F1 (Oct4) were scanned for putative target sites for miR-181a* (5′-ACCAUCGACCGUUGAUUGUACC-3′). More specifically, the genes' annotated 3′ UTR sequences were scanned for (i) seed sites with perfect reverse-complementarity to the oligonucleotide's seed sequence (nucleotides 2–7 from the 5′ end) and (ii) sites with strong overall complimentarily to the oligonucleotide. Such sites could be target sites for miRNA-like translational suppression and mRNA degradation, and small interfering RNA-like mRNA cleavage. The former scan used a custom python script, whereas the second scan used RNAhybrid39 with default parameter settings to evaluate potential hybridization between the oligo and target sequence. None of the five genes' 3′ UTRs contained miRNA-like seed sites for the oligonucleotide. Of the sites that formed the most stable interactions with the oligonucleotide, the Nanog site was the most stable site that contained paired bases at the putative AGO2 cleavage site. The AGO2 cleavage site would presumably be between nucleotides 10 and 11 from the 5′ end.40
Nanog 3 UTR construct, cloning, and dual-luciferase reporter assay. Nanog 3 UTR was amplified from HeLa genomic DNA by nested PCR using two different forward primers and a single reverse primer (primers are listed below). For both PCRs, 50 µl sample volumes were prepared using 0.3 µmol/l each of Forward and Reverse primers, 1× Accuprime Pfx Reaction Mix (Invitrogen), and 1.0 unit of Accuprime Pfx DNA Polymerase (Invitrogen). One hundred nanogram of genomic DNA and 0.5 µl of PCR product were used as templates in the first and the second PCR, respectively. The Forward 2 and the Reverse primers each contained two restriction enzyme cut sites; XhoI and SgfI for Forward 2 and NotI and EcoRI for Reverse. The Nanog 3 UTR construct was cloned into the psiCHECK 2.2 vector (Promega, Madison, WI), using the unique restriction enzyme cut sites for NotI and XhoI. Two point mutations were inserted in the Nanog 3UTR target site of hsa-miR-181a* using two mutagenic primers and psiCHECK 2.2 with Nanog 3 UTR insert as template. A 25.5 µl PCR sample volume was prepared using 10 ng of template, 0.5 µmol/l of each primer, 1× Reaction buffer (Agilent Technologies, Santa Clara, CA), dNTP mix (0.2 µmol/l each, Finnzymes), and 1.25 units of PfuTurbo DNA polymerase (Stratagene). Sequence of mutated hsa-miR-181a* target site (mutations in bold and underlined): GTGAAGTGGCGAGGTCTTGGC. List of primer sequences: Forward 1, AGCAACCAGACCCAGAACATCCAG; Forward 2,GCGATCGCTCGAGAGATGAGTGAAACTGATATTACTCAATTTCAGTCTGG;Reverse,GAATTCGCGGCCGCATGTTTAAGCTGTATATTTACTCATTGAAACACTCGG; psiCHECK+, AGGACGCTCCAGATGAAATG; Nanog seq, TCACTGCAAGCTCCGTCTCC; Rev psiCHECK, CAAACCCTAACCACCGCTTA; Nanog Mut Fr, GGCTGGAGTGAAGTGGCGAGGTCTTGGCTC; Nanog Mut Rev, GAGCCAAGACCTCGCCACTTCACTCCAGCC. For the reporter luciferase reporter assay, 100 nmol/l of miR181a* mimic or its inhibitor (Dharmacon) were transfected into CD34 progenitor cells (2.5 × 105 cells/well) in a 24-well plate for 24 hours. The Nanog 3′UTR wild-type or mutant with two point mutations was cloned downstream of the Renilla translational stop codon in psiCHECK-2 vector (Promega). 100 ng of the 3-UTR-Nanog (3-UTR-Nanog-psi-CHECK-2) or its mutated variant was cotransfected into the cells pre-conditioned with miR181a* mimic or inhibitor for further 24 hours before harvesting. Empty (psiCHECK-2) vector was used for normalization and 3-UTR-Nanog alone was used as a control. Renilla and Firefly luciferase assay was carried out using the Dual-Luciferase Reporter Assay System (Promega). Readings were measured the VICTOR plate reader (Waltham, MA) (Perkin-Elmer VICTOR).
Statistical analysis. Statistical analysis was performed using Prism 3.0 software. Results are shown as the means ± SD. Differences between groups were assessed using the two-tailed Student t-test.
  • Moore KA, andLemischka IR. Stem cells and their niches. Science. 2006;311:1880–1885. [PubMed]
  • Weissman IL. Stem cells: units of development, units of regeneration, and units in evolution. Cell. 2000;100:157–168. [PubMed]
  • Fuchs E, Tumbar T, andGuasch G. Socializing with the neighbors: stem cells and their niche. Cell. 2004;116:769–778. [PubMed]
  • Slack JM. Stem cells in epithelial tissues. Science. 2000;287:1431–1433. [PubMed]
  • Orkin SH, andZon LI. Hematopoiesis: an evolving paradigm for stem cell biology. Cell. 2008;132:631–644. [PMC free article] [PubMed]
  • Till JE, andMcCulloch EA. A direct measurement of the radiation sensitivity of normal mouse bone marrow cells. 1961. Radiat Res. 2011;175:145–149. [PubMed]
  • Kondo M, Wagers AJ, Manz MG, Prohaska SS, Scherer DC, Beilhack GF. et al. (2003. Biology of hematopoietic stem cells and progenitors: implications for clinical application Annu Rev Immunol 21759–806.806. [PubMed]
  • Bianco P, Riminucci M, Gronthos S, andRobey PG. Bone marrow stromal stem cells: nature, biology, and potential applications. Stem Cells. 2001;19:180–192. [PubMed]
  • Kuçi S, Kuçi Z, Latifi-Pupovci H, Niethammer D, Handgretinger R, Schumm M. et al. (2009. Adult stem cells as an alternative source of multipotential (pluripotential) cells in regenerative medicine Curr Stem Cell Res Ther 4107–117.117. [PubMed]
  • Pittenger MF, Mackay AM, Beck SC, Jaiswal RK, Douglas R, Mosca JD. et al. (1999. Multilineage potential of adult human mesenchymal stem cells Science 284143–147.147. [PubMed]
  • Bartel DP. MicroRNAs: target recognition and regulatory functions. Cell. 2009;136:215–233. [PMC free article] [PubMed]
  • Castanotto D, andRossi JJ. The promises and pitfalls of RNA-interference-based therapeutics. Nature. 2009;457:426–433. [PMC free article] [PubMed]
  • Gangaraju VK, andLin H. MicroRNAs: key regulators of stem cells. Nat Rev Mol Cell Biol. 2009;10:116–125. [PubMed]
  • He L, andHannon GJ. MicroRNAs: small RNAs with a big role in gene regulation. Nat Rev Genet. 2004;5:522–531. [PubMed]
  • Ivey KN, andSrivastava D. MicroRNAs as regulators of differentiation and cell fate decisions. Cell Stem Cell. 2010;7:36–41. [PubMed]
  • Gordon MY, Levicar N, Pai M, Bachellier P, Dimarakis I, Al-Allaf F. et al. (2006. Characterization and clinical application of human CD34+ stem/progenitor cell populations mobilized into the blood by granulocyte colony-stimulating factor Stem Cells 241822–1830.1830. [PubMed]
  • Lee SI, Lee BR, Hwang YS, Lee HC, Rengaraj D, Song G. et al. (2011. MicroRNA-mediated posttranscriptional regulation is required for maintaining undifferentiated properties of blastoderm and primordial germ cells in chickens Proc Natl Acad Sci USA 10810426–10431.10431. [PubMed]
  • Georgantas RW, 3rd, Hildreth R, Morisot S, Alder J, Liu CG, Heimfeld S. et al. (2007. CD34+ hematopoietic stem-progenitor cell microRNA expression and function: a circuit diagram of differentiation control Proc Natl Acad Sci USA 1042750–2755.2755. [PubMed]
  • Chen CZ, Li L, Lodish HF, andBartel DP. MicroRNAs modulate hematopoietic lineage differentiation. Science. 2004;303:83–86. [PubMed]
  • Ivanova N, Dobrin R, Lu R, Kotenko I, Levorse J, DeCoste C. et al. (2006. Dissecting self-renewal in stem cells with RNA interference Nature 442533–538.538. [PubMed]
  • Jaenisch R, andYoung R. Stem cells, the molecular circuitry of pluripotency and nuclear reprogramming. Cell. 2008;132:567–582. [PubMed]
  • Chickarmane V, Troein C, Nuber UA, Sauro HM, andPeterson C. Transcriptional dynamics of the embryonic stem cell switch. PLoS Comput Biol. 2006;2:e123. [PubMed]
  • Brennecke J, Stark A, Russell RB, andCohen SM. Principles of microRNA-target recognition. PLoS Biol. 2005;3:e85. [PMC free article] [PubMed]
  • Brodersen P, andVoinnet O. Revisiting the principles of microRNA target recognition and mode of action. Nat Rev Mol Cell Biol. 2009;10:141–148. [PubMed]
  • Shin C, Nam JW, Farh KK, Chiang HR, Shkumatava A, andBartel DP. Expanding the microRNA targeting code: functional sites with centered pairing. Mol Cell. 2010;38:789–802. [PMC free article] [PubMed]
  • Reinhart BJ, Slack FJ, Basson M, Pasquinelli AE, Bettinger JC, Rougvie AE. et al. (2000. The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans Nature 403901–906.906. [PubMed]
  • Elbashir SM, Lendeckel W, andTuschl T. RNA interference is mediated by 21- and 22-nucleotide RNAs. Genes Dev. 2001;15:188–200. [PubMed]
  • Hatfield SD, Shcherbata HR, Fischer KA, Nakahara K, Carthew RW, andRuohola-Baker H. Stem cell division is regulated by the microRNA pathway. Nature. 2005;435:974–978. [PubMed]
  • Wulczyn FG, Smirnova L, Rybak A, Brandt C, Kwidzinski E, Ninnemann O. et al. (2007. Post-transcriptional regulation of the let-7 microRNA during neural cell specification FASEB J 21415–426.426. [PubMed]
  • Wang Y, Russell I, andChen C. MicroRNA and stem cell regulation. Curr Opin Mol Ther. 2009;11:292–298. [PubMed]
  • Sun X, Icli B, Wara AK, Belkin N, He S, Kobzik L. et al. (2012. MicroRNA-181b regulates NF-?B-mediated vascular inflammation J Clin Invest 1221973–1990.1990. [PMC free article] [PubMed]
  • Pekarsky Y, Santanam U, Cimmino A, Palamarchuk A, Efanov A, Maximov V. et al. (2006. Tcl1 expression in chronic lymphocytic leukemia is regulated by miR-29 and miR-181 Cancer Res 6611590–11593.11593. [PubMed]
  • Kazenwadel J, Michael MZ, andHarvey NL. Prox1 expression is negatively regulated by miR-181 in endothelial cells. Blood. 2010;116:2395–2401. [PubMed]
  • Huang S, Wu S, Ding J, Lin J, Wei L, Gu J. et al. (2010. MicroRNA-181a modulates gene expression of zinc finger family members by directly targeting their coding regions Nucleic Acids Res 387211–7218.7218. [PMC free article] [PubMed]
  • Schnall-Levin M, Rissland OS, Johnston WK, Perrimon N, Bartel DP, andBerger B. Unusually effective microRNA targeting within repeat-rich coding regions of mammalian mRNAs. Genome Res. 2011;21:1395–1403. [PubMed]
  • Li QJ, Chau J, Ebert PJ, Sylvester G, Min H, Liu G. et al. (2007. miR-181a is an intrinsic modulator of T cell sensitivity and selection Cell 129147–161.161. [PubMed]
  • Tang F, Barbacioru C, Bao S, Lee C, Nordman E, Wang X. et al. (2010. Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell RNA-Seq analysis Cell Stem Cell 6468–478.478. [PMC free article] [PubMed]
  • Karolchik D, Hinrichs AS, Furey TS, Roskin KM, Sugnet CW, Haussler D. et al. (2004. The UCSC Table Browser data retrieval tool Nucleic Acids Res 32Database issueD493–D496.D496. [PMC free article] [PubMed]
  • Rehmsmeier M, Steffen P, Hochsmann M, andGiegerich R. Fast and effective prediction of microRNA/target duplexes. RNA. 2004;10:1507–1517. [PubMed]
  • Haley B, andZamore PD. Kinetic analysis of the RNAi enzyme complex. Nat Struct Mol Biol. 2004;11:599–606. [PubMed]
  • He Y, Cui Y, Wang W, Gu J, Guo S, Ma K. et al. (2011. Hypomethylation of the hsa-miR-191 locus causes high expression of hsa-mir-191 and promotes the epithelial-to-mesenchymal transition in hepatocellular carcinoma Neoplasia 13841–853.853. [PMC free article] [PubMed]
  • Karbiener M, Neuhold C, Opriessnig P, Prokesch A, Bogner-Strauss JG, andScheideler M. MicroRNA-30c promotes human adipocyte differentiation and co-represses PAI-1 and ALK2. RNA Biol. 2011;8 [PubMed]
  • Merkerova M, Belickova M, andBruchova H. Differential expression of microRNAs in hematopoietic cell lineages. Eur J Haematol. 2008;81:304–310. [PubMed]
  • Ghisi M, Corradin A, Basso K, Frasson C, Serafin V, Mukherjee S. et al. (2011. Modulation of microRNA expression in human T-cell development: targeting of NOTCH3 by miR-150 Blood 1177053–7062.7062. [PubMed]
  • Ho J, Pandey P, Schatton T, Sims-Lucas S, Khalid M, Frank MH. et al. (2011. The pro-apoptotic protein Bim is a microRNA target in kidney progenitors J Am Soc Nephrol 221053–1063.1063. [PubMed]
  • O'Donnell KA, Wentzel EA, Zeller KI, Dang CV, andMendell JT. c-Myc-regulated microRNAs modulate E2F1 expression. Nature. 2005;435:839–843. [PubMed]
  • Bissels U, Wild S, Tomiuk S, Hafner M, Scheel H, Mihailovic A. et al. (2011. Combined characterization of microRNA and mRNA profiles delineates early differentiation pathways of CD133+ and CD34+ hematopoietic stem and progenitor cells Stem Cells 29847–857.857. [PMC free article] [PubMed]
  • Han YC, Park CY, Bhagat G, Zhang J, Wang Y, Fan JB. et al. (2010. microRNA-29a induces aberrant self-renewal capacity in hematopoietic progenitors, biased myeloid development, and acute myeloid leukemia J Exp Med 207475–489.489. [PMC free article] [PubMed]
  • Schaap-Oziemlak AM, Raymakers RA, Bergevoet SM, Gilissen C, Jansen BJ, Adema GJ. et al. (2010. MicroRNA hsa-miR-135b regulates mineralization in osteogenic differentiation of human unrestricted somatic stem cells Stem Cells Dev 19877–885.885. [PubMed]
  • Kim YJ, Bae SW, Yu SS, Bae YC, andJung JS. miR-196a regulates proliferation and osteogenic differentiation in mesenchymal stem cells derived from human adipose tissue. J Bone Miner Res. 2009;24:816–825. [PubMed]
  • Wang, J, He, Q, Han, C, Gu, H, Jin, L, Li, Q. et al. (2012. p53-Facilitated miR-199a-3p Regulates Somatic Cell Reprogramming Stem Cells epub ahead of print. [PubMed]
  • Laine SK, Alm JJ, Virtanen SP, Aro HT, andLaitala-Leinonen TK. MicroRNAs miR-96, miR-124, and miR-199a regulate gene expression in human bone marrow-derived mesenchymal stem cells. J Cell Biochem. 2012;113:2687–2695. [PubMed]
  • Schoolmeesters A, Eklund T, Leake D, Vermeulen A, Smith Q, Force Aldred S. et al. (2009. Functional profiling reveals critical role for miRNA in differentiation of human mesenchymal stem cells PLoS ONE 4e5605. [PMC free article] [PubMed]
  • Chang SJ, Weng SL, Hsieh JY, Wang TY, Chang MD, andWang HW. MicroRNA-34a modulates genes involved in cellular motility and oxidative phosphorylation in neural precursors derived from human umbilical cord mesenchymal stem cells. BMC Med Genomics. 2011;4:65. [PMC free article] [PubMed]
  • Kim N, Kim H, Jung I, Kim Y, Kim D, andHan YM. Expression profiles of miRNAs in human embryonic stem cells during hepatocyte differentiation. Hepatol Res. 2011;41:170–183. [PubMed]
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