Expression profiling of lncRNAs in C3H10T1/2 mesenchymal stem cells undergoing early osteoblast differentiation
- Authors:
- Published online on: June 21, 2013 https://doi.org/10.3892/mmr.2013.1540
- Pages: 463-467
Abstract
Introduction
Osteoblast differentiation from mesenchymal stem cells (MSC) is a highly regulated process guided by complex signaling cascades. BMP-2 functions as an effective osteoblast-inducing signal and has been investigated extensively (1). In the past two decades, a number of transcription factors and small non-coding microRNAs involved in BMP-2-induced osteoblast differentiation have been identified (2–5). However, the precise molecular mechanisms of osteoblast differentiation remain largely unknown.
Long non-coding RNAs (long ncRNAs or lncRNAs) are generally considered to represent non-protein coding transcripts of >200 nucleotides (6). An increasing number of studies have reported that lncRNAs participate in diverse biological processes through distinct mechanisms in mammalian biology (7,8). Aberrant lncRNA expression and mutations have been linked to a diverse number of human diseases, including cancer, cardiovascular dieases and Alzheimer’s disease (9–11). Specifically, findings of previous studies demonstrated that lncRNAs are extremely important for the control of cell or tissue differentiation (12–15). Although an increasing number of functional lncRNAs have been characterized thus far, the functions of the majority of lncRNAs remain unknown (16).
It is not known whether MSC commitment and differentiation into osteoblasts relies on the modulation of lncRNA expression. To address this question, in the present study, lncRNA expression profiling was performed in MSCs undergoing differentiation into osteoblasts at day 1 and 4. Differentially expressed lncRNAs were then selected for bioinformatic analyses. Results of this study are likely to provide an important foundation for future studies on the lncRNA modulation of osteoblastic differentiation.
Materials and methods
Cell culture and osteoblast differentiation
C3H10T1/2 cells were obtained from the Chinese Academy of Science Cell Bank (Shanghai, China) and were cultured in Dulbecco’s modified Eagle’s medium (DMEM) containing 10% fetal bovine serum (FBS; both Hyclone Laboratories, Inc., Logan, UT, USA) at 37°C in a humidified atmosphere of 5% CO2 in air. To induce osteoblast differentiation, the medium was replaced with low-serum medium, consisting of DMEM supplemented with 5% FBS and 200 ng/ml rhBMP-2 (R&D Systems, Minneapolis, MN, USA) and the medium was changed every 2–3 days.
Alkaline phosphatase (ALP) staining
Levels of osteoblast differentiation in C3H10T1/2 cells were determined using ALP staining. For ALP staining, cells were washed with PBS twice, fixed with 70% ethanol for 20 min, rinsed three times with deionized water and then incubated with the BCIP/NBT liquid substrate system (Sigma-Aldrich, St. Louis, MO, USA), an ALP substrate solution, for 30 min. Images of the stained cells were then captured. For quantitative analysis, the ALP stain was extracted with 10% cetylpyridinium chloride for 15 min and quantified by measuring its absorbance at 540 nm. Relative ALP staining was then calculated as a fold change of the control.
RNA isolation
Following incubation with 200 ng/ml BMP-2 for 1 or 4 days, total RNA was extracted using TRIzol (Invitrogen Life Technologies, Carlsbad, CA, USA). RNA was also extracted from BMP-2 untreated cells. Total RNA from each sample was quantified using the NanoDrop 1000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA)and RNA integrity was assessed using standard denaturing agarose gel electrophoresis.
Microarray detection and analysis
For microarray analysis, the Agilent Array platform (Agilent Technologies, Santa Clara, CA, USA) was employed. Each sample was amplified and transcribed into fluorescent cRNA along the entire length of the transcripts without 3′ bias utilizing a random priming method (Quick Amp Labeling kit, One-Color, Agilent Technologies, p/n 5190-0442). The labeled cRNAs were hybridized onto the Mouse lncRNA Array v2.0 (8×60K; Arraystar Inc., Rockville, MD, USA) which was designed for the global profiling of 31,423 mouse lncRNAs and 25,376 protein-coding transcripts. The slides were washed and the arrays were scanned using the Agilent G2505C microarray scanner. Agilent Feature Extraction software (version 11.0.1.1) was used to analyze the acquired array images. Quantile normalization and subsequent data processing were performed using the GeneSpring GX version 11.5.1 software package (Agilent Technologies). Differentially expressed lncRNAs and mRNAs were identified through fold change filtering.
Category analysis of differentially expressed lncRNAs
According to lncRNA genomic locations relative to protein coding genes, lncRNAs are categorized as: i) sense, ii) antisense, iii) bidirectional, iv) intronic and v) intergenic (17). The differentially expressed lncRNAs identified in this study were categorized based on these groupings.
Bioinformatic analysis of lncRNA relative to nearby protein-coding genes
One important function of lncRNAs is to regulate the expression of nearby protein-coding genes. Therefore, protein-coding genes were searched for differentially expressed lncRNAs using the UCSC Genome Browser (http://genome.ucsc.edu/cgi-bin/hgGateway). Genes transcribed within 300 kb were considered to represent nearby coding genes and predicted lncRNAs nearby these coding genes were integrated with differentially expressed mRNA in the microarray (fold change ≥2.0 at day 4) (18). The regulatory network between lncRNAs and nearby coding genes was visually presented using the Cytoscape program (http://www.cytoscape.org/).
Statistical analysis
Experiments were repeated three times with the exception of microarray experiments. Two group comparisons were performed using the Student’s t test. P<0.05 was considered to indicate a statistically significant difference.
Results
BMP-2 increased osteoblast-specific marker ALP activity
Osteoblast differentiation from MSCs is regulated by various cytokines and growth factors. BMP-2, a transforming growth factor β superfamily member, is well known as one of the most powerful osteoblast promoting factors (19). ALP activity is an early osteoblast differentiation marker. In the present study, ALP activity in C3H10T1/2 cells with and without BMP-2 treatment was analyzed for 7 days to investigate BMP-2-induced C3H10T1/2 cell osteoblast differentiation. A significant increase in ALP acitivity in BMP-2-induced C3H10T1/2 cells was observed (Fig. 1), indicating that BMP-2 stimulates C3H10T1/2 cells into early osteoblast differentiation.
Differentially expressed profiles of the lncRNAs in BMP-2- induced C3H10T1/2 cell osteoblast differentiation
To investigate the expression profiles of lncRNAs during MSC osteoblast differentiation, total RNA was extracted from BMP-2 treated and untreated cells at day 1 and 4. OD260/280 ratios were close to 2.0 and OD260/230 ratios were >2.0 for all the samples. The quality of total RNA was checked by gel electrophoresis (Fig. 2A), confirming that the RNA was of good quality. Scatter plot analysis of the microarray data is shown in Fig. 2B. Microarray expression analysis of lncRNAs was then performed. Firstly, lncRNAs upregulated or downregulated by >1.5-fold in BMP-2 treated or untreated C3H10T1/2 cells for 1 day were screened, revealing 886 upregulated and 825 downregulated lncRNAs in the BMP-2 treated group. Secondly, 595 upregulated and 548 downregulated lncRNAs by >2-fold were identified at day 4. Continuously upregulated or downregulated lncRNAs following prolonged BMP-2 treatment may be more important for the control of osteoblast differentiation. We also identified 59 upregulated (Table I) and 57 downregulated lncRNAs (Table II) following 1 and 4 days of BMP-2 treatment in accordance with the described thresholds.
Category analysis of differentially expressed lncRNAs
Based on a previous study by Ponting et al(17), of the 116 differentially expressed lncRNAs identified in this study, 60.3% were categorized as intergenic. In addition, 20.7% were catagorized as sense. Details of the categories are presented in Table III.
Bioinformatic analysis of lncRNAs relative to osteoblast differentiation
Unlike proteins or microRNAs, lncRNA function cannot be inferred from sequence or structure. Studies have hypothesized a number of regulatory paradigms to explain the mechanism by which lncRNAs function. In the present study, the genomic context of lncRNAs was highlighted. Differentially expressed nearby mRNAs were combined and 24 differentially expressed lncRNAs and nearby coding genes pairs were identified for 13 differentially expressed lncRNAs and 20 differentially expressed mRNAs. Using the Cytoscape program, a regulatory network was constructed between differentially expressed lncRNA and nearby coding genes (Fig. 3).
Discussion
Specific lncRNAs, including linc-MD1, TINCR and ANCR, have been previously reported to be involved in the control of cell or tissue differentiation (12–15). In the present study, the Arraystar microarray analysis was used to identify differentially expressed lncRNAs associated with BMP-2 stimulated osteoblast differentiation. To the best of our knowledge, this is the first study to demonstrate genome-wide differentially expressed lncRNA profiling in MSCs undergoing early osteoblast differentiation.
Although lncRNAs may have an important impact on a diverse range of human diseases, the current understanding of the molecular mechanisms by which lncRNAs function remain largely unknown. Previous studies have demonstrated that lncRNAs may function by controlling the transcriptional regulation of neighboring coding genes (7,17,20). For example, the ncRNA, Evf2, forms a complex with the transcription factor, Dlx2, to induce the expression of adjacent protein-coding genes (21). Identifying differentially expressed nearby coding mRNA may enhance understanding of the function and potential regulatory mechanisms for lncRNAs. In the current study, 24 differentially expressed lncRNAs and nearby coding genes pairs were identified. Among the regulatory network between differentially expressed lncRNAs and nearby protein-coding genes pairs, specifc nodes have been previously reported to be involved in osteoblast differentiation or bone metabolism. For example, the protein-coding gene, EGFR, a nearby coding gene for differentially expressed lncRNA, mouselincRNA0231, was downregulated by 2.2- and 2.8-fold following BMP-2 treatment for 1 and 4 days, respectively. A previous study reported that EGFR signaling suppresses osteoblast differentiation by inhibiting the expression of master osteoblastic transcription factors, Runx2 and Osterix (22). We hypothesized that mouselincRNA0231 may negatively regulate osteoblast differentiation by affecting EGFR signaling. DLK1 is a novel regulator of bone mass and inhibits bone formation and stimulates bone resorption (23,24) and was upregulated in the BMP-2 treatment group. This upregulation may have reduced the action of BMP-2. DLK1 is a nearby coding gene for differentially expressed lncRNA NR_027652. Therefore, a synergistic effect on osteoblast differentiation may exist between DLK1 and NR_027652. IL-5, is a nearby coding gene for mouselincRNA0243 and is a T cell-derived factor. Macias et al previously reported that overexpression of IL-5 in a transgenic mouse line mediated bone formation through the mobilization of marrow-derived osteogenic progenitors (25). These pairings between lncRNA and nearby coding protein may represent one of the regulatory mechanisms by which lncRNAs control osteoblast differentiaton through the regulation of neighboring osteoblast-related gene expression. However, further studies must be performed to prove this hypothesis.
In conclusion, 116 continuously differentially expressed lncRNAs were identified in this study during BMP-2-stimulated osteoblast differentiation for 1 and 4 days in C3H10T1/2 mensenchymal stem cells. In addition, potential regulatory mechanisms by which lncRNAs control osteoblast differentiation were identified by bioinformatic analysis. Although more studies are required to demonstrate the precise role and mechanisms of lncRNAs in osteoblast differentiation, lncRNAs appear to be potent candidates for osteoblast differentiation or therapeutic agents for osteogenic disorders in the future.
Acknowledgements
This study was supported by grants from the National Natural Science Foundation of China (nos. 81101357 and 81170327), the Science and Technological Program for Dongguan’s Higher Education, Science and Research and Health Care Institutions (no. 2011108102029) and the Science and Technology Innovation Fund of Guangdong Medical College (no. STIF201104). Microarray experiments were performed by KangChen Bio-tech (Shanghai, China).
References
Wozney JM, Rosen V, Celeste AJ, et al: Novel regulators of bone formation: molecular clones and activities. Science. 242:1528–1534. 1988. View Article : Google Scholar : PubMed/NCBI | |
Lin GL and Hankenson KD: Integration of BMP, Wnt and notch signaling pathways in osteoblast differentiation. J Cell Biochem. 112:3491–3501. 2011. View Article : Google Scholar : PubMed/NCBI | |
Huang J, Zhao L, Xing L and Chen D: MicroRNA-204 regulates Runx2 protein expression and mesenchymal progenitor cell differentiation. Stem Cells. 28:357–364. 2010.PubMed/NCBI | |
Rosen V: BMP2 signaling in bone development and repair. Cytokine Growth Factor Rev. 20:475–480. 2009. View Article : Google Scholar : PubMed/NCBI | |
Dong S, Yang B, Guo H and Kang F: MicroRNAs regulate osteogenesis and chondrogenesis. Biochem Biophys Res Commun. 418:587–591. 2012. View Article : Google Scholar : PubMed/NCBI | |
ENCODE Project Consortium. Birney E, Stamatoyannopoulos JA, Dutta A, et al: Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature. 447:799–816. 2007. | |
Hung T and Chang HY: Long noncoding RNA in genome regulation: prospects and mechanisms. RNA Biol. 7:582–585. 2010. View Article : Google Scholar : PubMed/NCBI | |
Wilusz JE, Sunwoo H and Spector DL: Long noncoding RNAs: functional surprises from the RNA world. Genes Dev. 23:1494–1504. 2009. View Article : Google Scholar : PubMed/NCBI | |
Huarte M, Guttman M, Feldser D, et al: A large intergenic noncoding RNA induced by p53 mediates global gene repression in the p53 response. Cell. 142:409–419. 2010. View Article : Google Scholar : PubMed/NCBI | |
Esteller M: Non-coding RNAs in human disease. Nat Rev Genet. 12:861–874. 2011. View Article : Google Scholar | |
Sui W, Li H, Ou M, Tang D and Dai Y: Altered long non-coding RNA expression profile in patients with IgA-negative mesangial proliferative glomerulonephritis. Int J Mol Med. 30:173–178. 2012.PubMed/NCBI | |
Cesana M, Cacchiarelli D, Legnini I, et al: A long noncoding RNA controls muscle differentiation by functioning as a competing endogenous RNA. Cell. 147:358–369. 2011. View Article : Google Scholar : PubMed/NCBI | |
Kretz M, Siprashvili Z, Chu C, et al: Control of somatic tissue differentiation by the long non-coding RNA TINCR. Nature. 493:231–235. 2013. View Article : Google Scholar : PubMed/NCBI | |
Kretz M, Webster DE, Flockhart RJ, et al: Suppression of progenitor differentiation requires the long noncoding RNA ANCR. Genes Dev. 26:338–343. 2012. View Article : Google Scholar : PubMed/NCBI | |
Ng SY, Johnson R and Stanton LW: Human long non-coding RNAs promote pluripotency and neuronal differentiation by association with chromatin modifiers and transcription factors. EMBO J. 31:522–533. 2011.PubMed/NCBI | |
Wang KC and Chang HY: Molecular mechanisms of long noncoding RNAs. Mol Cell. 43:904–914. 2011. View Article : Google Scholar | |
Ponting CP, Oliver PL and Reik W: Evolution and functions of long noncoding RNAs. Cell. 136:629–641. 2009. View Article : Google Scholar : PubMed/NCBI | |
Han L, Zhang K, Shi Z, et al: LncRNA profile of glioblastoma reveals the potential role of lncRNAs in contributing to glioblastoma pathogenesis. Int J Oncol. 40:2004–2012. 2012.PubMed/NCBI | |
Chen D, Zhao M and Mundy GR: Bone morphogenetic proteins. Growth Factors. 22:233–241. 2004. View Article : Google Scholar | |
Mercer TR, Dinger ME and Mattick JS: Long non-coding RNAs: insights into functions. Nat Rev Genet. 10:155–159. 2009. View Article : Google Scholar : PubMed/NCBI | |
Feng J, Bi C, Clark BS, Mady R, Shah P and Kohtz JD: The Evf-2 noncoding RNA is transcribed from the Dlx-5/6 ultraconserved region and functions as a Dlx-2 transcriptional coactivator. Genes Dev. 20:1470–1484. 2006. View Article : Google Scholar : PubMed/NCBI | |
Zhu J, Shimizu E, Zhang X, Partridge NC and Qin L: EGFR signaling suppresses osteoblast differentiation and inhibits expression of master osteoblastic transcription factors Runx2 and Osterix. J Cell Biochem. 112:1749–1760. 2011. View Article : Google Scholar : PubMed/NCBI | |
Abdallah BM, Ding M, Jensen CH, et al: Dlk1/FA1 is a novel endocrine regulator of bone and fat mass and its serum level is modulated by growth hormone. Endocrinology. 148:3111–3121. 2007. View Article : Google Scholar : PubMed/NCBI | |
Abdallah BM, Ditzel N, Mahmood A, et al: DLK1 is a novel regulator of bone mass that mediates estrogen deficiency-induced bone loss in mice. J Bone Miner Res. 26:1457–1471. 2011. View Article : Google Scholar : PubMed/NCBI | |
Macias MP, Fitzpatrick LA, Brenneise I, McGarry MP, Lee JJ and Lee NA: Expression of IL-5 alters bone metabolism and induces ossification of the spleen in transgenic mice. J Clin Invest. 107:949–959. 2001. View Article : Google Scholar : PubMed/NCBI |