Open Access

Long non‑coding RNA XIST promotes osteoporosis through inhibiting bone marrow mesenchymal stem cell differentiation

  • Authors:
    • Xi Chen
    • Lei Yang
    • Dawei Ge
    • Weiwei Wang
    • Zhaowei Yin
    • Junwei Yan
    • Xiaojian Cao
    • Chunzhi Jiang
    • Shengnai Zheng
    • Bin Liang
  • View Affiliations

  • Published online on: November 29, 2018     https://doi.org/10.3892/etm.2018.7033
  • Pages: 803-811
  • Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The purpose of the present study was to identify the key long non‑coding (lnc)RNAs in the occurrence and development of osteoporosis (OP) and to explore the associated molecular mechanism. First, the Gene Expression Omnibus (GEO) datasets, with key words ‘osteoporosis’ and ‘HG‑133A’, were screened. RankProd R package was used to calculate the dysregulated lncRNAs in OP. Following this, bone marrow mesenchymal stem cells (BM‑MSCs) harvested from 3‑week‑old Sprague Dawley rats were employed for detection of osteoblast differentiation. Following overexpression or interference with X‑inactive specific transcript (XIST), osteogenesis‑associated genes and proteins in BM‑MSCs were detected using reverse transcription‑quantitative polymerase chain reaction and western blot analysis. Alkaline phosphatase (ALP) and Alizarin Red S staining were also performed to measure the osteogenic ability of BM‑MSCs. Results from the two datasets indicated that 6 lncRNAs were dysregulated in OP. Notably, XIST is key lncRNA in diverse diseases, and was subsequently selected for analysis. It was revealed that XIST was significantly upregulated in plasma and monocytes from patients with OP compared with the normal controls. Furthermore, results indicated that overexpression of XIST significantly inhibited osteoblast differentiation in BM‑MSCs, as evidenced by the decreased expression of ALP, bone γ‑carboxyglutamic acid‑containing protein and runt related transcription factor 2, reduced ALP activity and a decreased number of calcium deposits. However, interference of XIST exhibited the opposite biological effects in BM‑MSCs. Taken together, XIST was highly expressed in the serum and monocytes of patients with OP. In addition, the findings suggested that XIST could inhibit osteogenic differentiation of BM‑MSCs.

Introduction

Osteoporosis (OP) is the most common type of skeletal disease, regardless of sex (1). As a progressive skeletal disease, OP is characterized by low bone mass and damaged bone structure, which can result in rarefaction of bone and an increased risk of fracture (2). In patients with fractures caused by OP, hip fractures are commonly observed (1). Previous evidence indicated that OP-induced factures are typically associated with higher fatality rates and can limit the activity of the patient, thereby increasing medical burden in China (1). According to the latest global research, it has been reported that menopausal women have the highest risk of OP (1). As age increases, the incidence rate of hip fracture in women aged between 55 and 59 is 34%, which is almost 5-fold greater (6.6%) in those aged >85 (3). Bone metabolism relies on the regulation between the osteoblasts and osteoclasts. In patients with OP, osteoclasts, which originate from the mononuclear macrophages of bone marrow hematopoietic stem cells, can enhance the bone absorption (4). Thus, research on the mononuclear cells is of great significance in enhancing the understanding on the mechanism and improving the treatment of OP.

Long non-coding (lnc)RNAs have a transcriptional length of >200 nucleotides and can regulate gene expression on various levels, including epigenetic, transcriptional and post-transcriptional regulation, without encoding any proteins (512). LncRNAs have become an area of interest in research, and it has been revealed that lncRNAs not only exist in the blood of patients with tumors, but are stably present, according to some reports, in the plasma or serum of some human non-neoplastic diseases (6). Hence, specific lncRNAs have been widely used in the diagnosis and treatment of various diseases, and may have potential clinical application value (13,14). This value provides a new direction in studying the etiology, pathogenesis and prognosis of associated diseases. In recent years, circulating lncRNAs have been identified to serve an important role in diseases, including cardiovascular disease (15), refractory asthma (16), acute kidney injury (13), diabetes mellitus, major depressive disorder (17) and Hashimoto's thyroiditis (18). Nevertheless, a few studies have focused on the effects of circulating lncRNAs in OP.

In bone tissues, the activity of osteoblasts and osteoclasts is precisely coordinated (9,19). During bone remodeling, osteoclasts uptake the bone and then recruit bone marrow mesenchymal stem cells (BM-MSCs) for subsequent differentiation and bone formation (19). Under certain conditions, BM-MSCs possess the potential to differentiate into different types of cells, including osteoblasts, chondrocytes, adipocytes, muscle cells and tendon cells (20), which can provide a cell source for bone growth and bone repair. Osteoblasts are the primary functional cells in bone formation (20). They are distributed on the surface of bone, which can produce the organic components of the extracellular matrix as well as regulate the synthesis, secretion and mineralization of bone matrix (19,20). Notably, osteoblasts can be identified using the following indexes: Alkaline phosphatase (ALP), bridge proteins, bone morphogenetic proteins, and osteocalcin and bone sialoproteins (19,20). Furthermore, osteoclasts are distributed in the bone resorption lacuna, and are responsible for bone resorption (19,20).

There is a large number of experimental evidence suggesting that BM-MSCs are associated with OP. The present study aimed to assess the biological function of key long non-coding (lnc)RNAs in the occurrence and development of osteoporosis, and to further investigate its underlying molecular mechanism.

Materials and methods

Data collection

Data retrieval was performed with the Gene Expression Omnibus (GEO) database (https://www.ncbi.nlm.nih.gov/geo/index.cgi) using ‘osteoporosis’ and ‘HG-133A’ as key words. A total of 10 datasets were identified. Since detection with the probe in HG-133A could identify various lncRNAs, the HG-133A platform was selected as the alternative platform in the present study. In the present study, a total of three datasets, GSE56815, GSE7158 and GSE2208, were acquired, in which GSE2208 was eliminated as this did not include the original CEL files. In the GSE56815 dataset, there were 40 microarrays in monocytes of normal bone and 40 of OP, whereas in the GSE7158 dataset there were 14 of normal bone and 14 of OP. Inclusion and exclusion criteria of OP was based on a previous guideline (21). Serum and blood cells of 40 cases were collected (14 males, 26 females; age range, 43–72 years) from patients admitted to The First Affiliated Hospital of Nanjing Medical University (Nanjing, Jiangsu, China) between July 2017 and February 2018. Written informed consent was obtained from all the participants. One tube of venous blood of all patients enrolled was collected immediately with an anticoagulant-free red blood collection tube following admission. The present study was approved by the Ethical Committee of Nanjing Medical University and patient consent was obtained prior to enrollment. The tube was placed in the refrigerator at 4°C for 30 min, centrifuged at 2,500 × g for 15 min at room temperature, and then the upper serum was collected and placed in refrigerator at 20°C.

RankProd analysis of differential lncRNAs

To comprehensively analyze the differentially expressed genes in the two datasets, analysis was performed with RankProd R package (22). Firstly, datasets were merged in accordance of the Combat method with the Slicomerging R package to eliminate the difference between the two groups (23). Proportion of false positives (pfp) of differentially expressed genes were identified using 1,000 permutations, and the list of upregulated or downregulated probes was determined on the basis of pfp (pfp<0.01) and fold change (FC) value (FC>1, upregulated; FC<1, downregulated).

Isolation, culture and differentiation of BM-MSCs

Primary BM-MSCs were collected from 10 3-week-old female Sprague-Dawley rats (weight range, 50–60 g) and the bone marrow was flushed from the femur and tibia of rats using a 5-ml syringe. All rats were housed in a temperature controlled room (21±2°C), under a 12 h light/dark cycle, with free access to water and food. BM-MSCs were cultured in Dulbecco's modified Eagle's medium (DMEM; Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA) supplemented with 10% fetal bovine serum (FBS; Gibco; Thermo Fisher Scientific, Inc.), 1% L-glutamine (Gibco; Thermo Fisher Scientific, Inc.), 1% penicillin and 1% HEPES (Gibco; Thermo Fisher Scientific, Inc.) in an atmosphere containing 5% CO2 at 37°C. Medium was changed every 2 days to remove unattached cells. Following 5 days of incubation, the primary cells were trypsinized and passaged. Generation 3–5 of BM-MSCs were used in the present study. Notably, 10% FBS, 10 nmol/l dexamethasone (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany), 10 mmol/l β-glycerophosphate (Sigma-Aldrich; Merck KGaA), 50 µg/ml ascorbic acid (Sigma-Aldrich; Merck KGaA), 1% L-glucose, 1% penicillin-streptomycin and 1% HEPES were added to a high-glucose DMEM (DMEM-HG; Gibco; Thermo Fisher Scientific, Inc.) in order to make up the osteogenic medium and induce osteogenic differentiation of MSCs.

Cell surface markers of MSCs

MSC surface markers of cells isolated from rats were detected using flow cytometry with the following antibodies: Fluorescein isothiocyanate (FITC) hamster anti-rat cluster of differentiation (CD)29 (1:100; cat. no. 564131), FITC mouse anti-rat CD44H (1:100; cat. no. 550974), FITC mouse anti-rat CD45 (1:100; cat. no. 561587), FITC mouse anti-rat CD90 (1:100; cat no. 554894). All antibodies were purchased from BD Biosciences (Franklin Lakes, NJ, USA) and were incubated at 20°C for 1 h. FITC Goat anti-Mouse Immunoglobulin G (H+L) Cross-Adsorbed Secondary Antibodies was purchased from Thermo Fisher Scientific, Inc. (1:1,000; cat. no. 31541) and incubated at 20°C for 30 min. Human TruStain FcX™ (BioLegend, Inc., San Diego, CA, USA; cat. no. 422301) was used for blocking at room temperature for 5 min. Flow cytometer (FACSCalibur; BD Bioscience) was used for analysis. Data were obtained and analyzed using CellQuest professional software (Version 3.3; Becton, Dickinson and Company; Franklin Lakes, NJ, USA). Generation three BM-MSCs were suspended in PBS, incubated with 0.5 µg/ml of each antibody. Unstained MSCs served as controls.

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)

Total RNA was extracted from BM-MSCs using TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. Total RNA concentration was measured using a NanoDrop 2000 (Thermo Fisher Scientific, Inc.) and 1 µg of total RNA was reverse transcribed into cDNA using a reverse transcription kit (Takara Bio, Inc., Otsu, Japan). RT-qPCR was performed on an ABI7900 Fast Real-Time System (Applied Biosystems; Thermo Fisher Scientific, Inc.) using the SYBR Premix Ex Taq kit (Takara Bio, Inc.). The thermocycling conditions were as follows: pre-denaturation at 95°C for 5 min, denaturation at 95°C for 30 sec, annealing at 60°C for 45 sec, extension at 72°C for 3 min, with 35 cycles and extension at 72°C for 5 min. PCR products were then stored at 4°C. The primers utilized in PCR were as follows: XIST forward, 5′-AGGCTGGCTGGAATAAAGG-3′ and reverse, 5′-TATGAAAAGGGAGGCGTGGT-3′; ALP forward, 5′-GGGACTGGTACTCGGACAAT-3′ and reverse, 5′-GGCCTTCTCATCCAGTTCAT-3′; Bglap forward, 5′-CATGAGGACCCTCTCTCTGC-3′ and reverse, 5′-TGGACATGAAGGCTTTGTCA-3′; Runx2 forward, 5′-GCACCCAGCCCATAATAGA-3′ and reverse, 5′-TTGGAGCAAGGAGAACCC-3′; GAPDH forward, 5′-GGCACAGTCAAGGCTGAGAATG-3′ and reverse, 5′-ATGGTGGTGAAGACGCCAGTA-3′. The 2−ΔΔCq method was used. GAPDH was used as a standard control for data analysis (24).

Western blot analysis

The proteins were extracted from BM-BMSCs. Subsequently, the protein concentration was detected using the BCA method (Pierce; Thermo Fisher Scientific, Inc.) and adjusted using the radioimmunoprecipitation assay (Beyotime Institute of Biotechnology, Shanghai, China). A total of 30 µg protein were loaded per lane for electrophoresis. Following SDS-PAGE (5% concentrated gel and 10% separation gel) the sample was transferred to a polyvinylidene fluoride (PVDF) membrane (EMD Millipore, Billerica, MA, USA), which was then soaked in 5% skimmed milk at room temperature for 1 h. The PVDF membrane was subsequently cut and respectively incubated with the following antibodies at 4°C overnight: Runx2 (1:500; cat. no. ab76956); rabbit polyclonal ALP (1:500; cat. no. ab83259) and rabbit polyclonal GAPDH (1:500; cat. no. ab37168; all, Abcam, Cambridge, UK) The following day, the bands were washed three times with PBS (for 10 min each time). Subsequently, the bands were incubated with the following secondary antibodies for 1 h at 20°C: Horseradish peroxidase conjugated goat anti-rabbit Immunoglobulin G (1:2,000; cat. no. ab6721; Abcam). Samples were then washed three times with PBS (for 10 min each time). Lastly, ECL solution (Merck KGaA) was applied to bands in order to detect the protein expression levels. Protein bands were analyzed using Image J software (Version 1.38; National Institutes of Health, Bethesda, MD, USA). GAPDH served as the internal control.

Cell transfection

BM-MSCs were resuspended in antibiotic-free DMEM and re-seeded into 6-well plates at a density of 3×105 cells/well. BM-MSCs were incubated for 18–24 h and transfected using a Lipofectamine 2000 kit (Sigma-Aldrich; Merck KGaA). Liposomes, si-NC, si- X-inactive specific transcript (XIST), pcDNA-NC and pcDNA-XIST were all purchased from Shanghai Genechem (Shanghai, China). Detailed cell transfection was performed according to the instructions. siRNA at the concentration of 50 nM was added to each well and then incubated for 48 h. The sequences of the three si-XISTs were as follows: si-XIST 1#, 5′-GGCCTGTTATGTGTGTGATTATATT-3′; si-XIST 2#, 5′-GCCAACTGTCTGCTTAAGAAA-3′; and si-XIST 3#, 5′-GCTGCTAGTTTCCCAATGATA-3′.

Alkaline phosphatase (ALP) staining

ALP staining was performed using the ALP detection kit (Sigma Aldrich; Merck KGaA) according to the manufacturer's instructions. MSCs were seeded in 24-well plates at a density of 7×10 4 cells/well. Differentiation into osteoblasts was induced by osteogenic induction medium at a cell density of 60%. Following 10 days of induction, the cells were fixed with 4% formaldehyde and 5% citrate in acetone at room temperature for 30 sec. The fixed cells were further washed with PBS and incubated with 0.2% naphthol AS-BI and 0.2% diazonium salt for 15 min at room temperature. Once the working solution was discarded, the cells were washed with PBS again. Images were captured using a light microscope at a magnification of ×4.

Alizarin Red S (ARS) staining

The morphology of BM-BMSCs was observed with a microscope. Once the medium was discarded, the cells were washed twice with PBS and then fixed with 1 ml 4% paraformaldehyde at 20°C for 20 min. Cells were then washed twice with PBS. Following this, cells were stained with 1 ml ARS at room temperature for 10 min. The cell samples were washed twice with PBS for 10 min each and images were captured with an optical microscope (magnification, ×4).

Statistical analysis

Statistical analyses were performed with SPSS software (v22.0; IBM Corp., Armonk, NY, USA). In addition, GraphPad Prism software 5.0 (GraphPad Software, Inc., La Jolla, CA, USA) was used for image editing. Comparisons between multiple groups were performed using one-way analysis of variance followed by a post hoc test (Fisher's Least Significant Difference). P<0.05 was considered to indicate a statistically significant difference.

Results

Alterations in the expression levels of 6 lncRNAs in patients with OP

Data were merged using the combat method and the Slicomerging R package, and the differentially expressed genes were calculated in accordance with the RankProd method. The results indicated that there were 1,060 downregulated genes and 765 upregulated genes, in which there were 4 upregulated lncRNAs and 2 downregulated lncRNAs (Fig. 1A and Table I), including LOC100507630, IGHV4-31, GRIK1-AS2, DKFZP586I1420, THAP9-AS1 and XIST. XIST is an important lncRNA that has been previously reported in a variety of diseases, but not in OP (25,26). Therefore, XIST was chosen as a candidate lncRNA to explore its associated mechanism in OP. The expression of lncRNA XIST in serum and peripheral blood monocytes was detected by RT-qPCR in patients with OP and normal subjects. The results indicated that the expression level of lncRNA XIST in the serum and peripheral blood monocytes of patients with OP was significantly increased compared with that in normal subjects (Fig. 1B and C).

Table I.

Significantly dysregulated probes identified by RankProd in osteoporosis.

Table I.

Significantly dysregulated probes identified by RankProd in osteoporosis.

IDSymbol FC_class1.class2pfpP-value
207476_atLOC1005076300.8866034220<0.001
217281_x_atIGHV4-310.823655383 1.00×10−04<0.001
210818_s_atGRIK1-AS21.0919414720<0.001
213546_atDKFZP586I14201.107174491 2.00×10−04<0.001
215009_s_atTHAP9-AS11.153535587 4.00×10−04<0.001
221728_x_atXIST1.0453690150.0029 1.00×10−04

[i] pfp<0.01; FC>1. pfp, proportion of false positives; FC, fold change.

BM-MSCs purity

Primary BM-MSCs were isolated from rat bone marrow and passaged successfully. BM-MSCs adhered to plastic cultured dishes and exhibited a typical spindle-shaped morphology (Fig. 2A). Following 14 days of osteogenic induction, a large number of mineralized nodules were observed, as demonstrated by ARS staining (Fig. 2B). The immunophenotype was identified by flow cytometry. As demonstrated in Fig. 2C, the results indicated that the isolated cells were positive for mesenchymal-associated markers CD29 (99.82%), CD44 (99.73%) and CD90 (99.68%). However, few cells were positive for CD45 (0.01%). A large number of calcified nodules were identified by ARS staining following 14 days of culture in osteogenic medium. However, this was not observed in the control group, which demonstrated the ability of the MSCs to differentiate into osteoblasts. In order to further verify that BM-MSCs could be differentiated into osteoblasts, the osteogenic marker genes ALP, runt related transcription factor 2 (Runx2) and bone γ-carboxyglutamic acid-containing protein (Bglap) were detected in cells cultured for 1, 3, 7 and 14 days. On the 3rd and 7th day, the expression levels of the marker genes mentioned above were significantly increased (Fig. 2D). By contrast, the expression level of XIST in the cells was significantly decreased in a time-dependent manner (Fig. 2E).

XIST inhibits osteogenic differentiation of BM-MSCs

To investigate the effect of XIST on the expression of the osteogenic marker genes, RT-qPCR was performed (Fig. 3). Following si-XIST transfection, the expression level of XIST in BM-MSCs was significantly reduced, and the most significant decrease was induced by si-XIST 2# (Fig. 3A). Subsequently, si-XIST2 was selected for the remaining interference experiments. Notably, XIST expression levels were significantly increased with pcDNA-XIST transfected in BM-MSCs, which confirmed the transfection efficiency (Fig. 3B).

The expression levels of ALP, Bglap and Runx2 genes were significantly increased by si-XIST 2# (Fig. 3C, E and G). Conversely, the expression levels of the above osteoblast-associated genes were significantly reduced following the overexpression of XIST (Fig. 3D, F and H). Correspondingly, the expression trends of ALP and Runx2 proteins were consistent with their relative RNAs (Fig. 4A). Furthermore, ALP staining was enhanced following XIST interference and reduced with XIST overexpression (Fig. 4B).

Following interfering with XIST, the number of mineralized nodules was increased, as indicated with the increased ARS staining. Conversely, smaller and fewer nodules were observed when XIST was overexpressed (Fig. 4C). These results suggested that overexpression of XIST could inhibit osteogenic differentiation of BM-MSCs.

Discussion

In a normal cycle of bone metabolism, bone absorption and formation are in a dynamic balance. Bone absorption of osteoclasts and bone formation of osteoblasts are coupled for the continuous reconstruction of bones. However, once the coupled balance is broken, it can result in an increase in bone absorption of osteoclasts, or a decrease in bone formation of osteoblasts, thereby leading to the former process being greater than the latter, and giving rise to OP (2729).

XIST, a lncRNA indispensable for silencing the transcription of chromosome X in mammals, is critical for the deactivation of chromosome X (25). In recent years, more studies have demonstrated that XIST is correlated with the development and progression of tumors (3032). In glioblastoma, XIST knockdown can inhibit the progression of tumors by reducing cell proliferation, invasion and migration and inducing cell apoptosis (30). In patients with gastric cancer it has been reported that the high expression of XIST is associated with an increase in tumor volume, lymphatic metastasis, distant metastasis and tumor, node, metastasis staging (33,34). Furthermore, lncRNA maternally expressed 3 and differentiation antagonizing non-protein coding RNA are also critical for bones; however, no study has reported on the role of XIST (35,36).

Bone is a dynamic tissue that is in continuously modified (19). It is primarily composed of two types of cells, osteoblasts and osteoclasts; the former promote bone formation, while the latter promote bone resorption (19). These two types of bone cells are at equilibrium in normal bone. However, once this balance is disrupted, a variety of bone metabolic diseases can be triggered (37). Bglap and Runx2, two important markers of bone formation, are tightly bound to bone hydroxyapatite and calcium and are indirectly involved in osteoblast activation during osteogenesis (19). ALP is also an important marker of early osteogenic differentiation of BM-MSCs, which serves a key role in the in vitro calcification of BM-MSCs (3840). Therefore, early osteogenic differentiation of BM-MSCs can be observed through the detection of ALP synthesis (41). Calcium nodules are formed when mineralization occurs in BM-MSCs. The formation of calcium nodules is a sign of maturation of cells (19). The degree of osteogenic differentiation of BM-MSCs can be analyzed by detecting the formation of calcium nodules in BM-MSCs (42). In the present study, RankProd analysis with the retrieval of databases demonstrated that XIST was highly expressed in patients with OP. It was indicated that overexpression of XIST significantly decreased the gene and protein expression levels of ALP, Bglap and Runx2, whereas ALP staining and calcification in ARS staining were reduced. These results indicated that XIST inhibited osteogenic differentiation of BM-MSCs, which was consistent with the data analysis.

The present study had some limitations. Firstly, the present study only demonstrated the association between XIST and BM-MSCs; however, the detailed molecular mechanism has not been fully elucidated. Further research should be performed to explore how XIST influences the differentiation of BM-MSCs and what types of molecules or signaling pathways takes part in this effect. Notably, si-XIST and pcDNA-XIST transgenic mice will be used in future work to investigate the development of OP, and to analyze the expression of XIST and osteoblast identification indexes.

In conclusion, the present findings suggest that XIST is highly expressed in patients with OP, and XIST is able to inhibit osteogenic differentiation of BM-MSCs.

Acknowledgements

Not applicable.

Funding

The current study was supported by the National Natural Science Foundation of China (grant no. 81802149) and Science and Technology Development Fund of NJMU (grant no. 2017NJMU130).

Availability of data and materials

All data generated or analyzed during the present study are included in this published article.

Authors' contributions

XCh, SZ and BL designed the study and performed the experiments. XCa, LY and WW established the animal models. DG, JY and ZY collected the data. XCh and CJ analyzed the data. XCh and LY prepared the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was approved by the Animal Ethics Committee of Nanjing Medical University Animal Center. This study was also approved by the Medical Ethics Committee of Nanjing First Hospital (Nanjing, China) and patient consent was obtained.

Patient consent for publication

Written informed consent was obtained from all the participants.

Competing interests

The authors declare no competing interests.

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January 2019
Volume 17 Issue 1

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Copy and paste a formatted citation
APA
Chen, X., Yang, L., Ge, D., Wang, W., Yin, Z., Yan, J. ... Liang, B. (2019). Long non‑coding RNA XIST promotes osteoporosis through inhibiting bone marrow mesenchymal stem cell differentiation. Experimental and Therapeutic Medicine, 17, 803-811. https://doi.org/10.3892/etm.2018.7033
MLA
Chen, X., Yang, L., Ge, D., Wang, W., Yin, Z., Yan, J., Cao, X., Jiang, C., Zheng, S., Liang, B."Long non‑coding RNA XIST promotes osteoporosis through inhibiting bone marrow mesenchymal stem cell differentiation". Experimental and Therapeutic Medicine 17.1 (2019): 803-811.
Chicago
Chen, X., Yang, L., Ge, D., Wang, W., Yin, Z., Yan, J., Cao, X., Jiang, C., Zheng, S., Liang, B."Long non‑coding RNA XIST promotes osteoporosis through inhibiting bone marrow mesenchymal stem cell differentiation". Experimental and Therapeutic Medicine 17, no. 1 (2019): 803-811. https://doi.org/10.3892/etm.2018.7033