Identification and Characterization of Long Non-Coding RNAs in Osteogenic Differentiation of Human Adipose-Derived Stem Cells.
CELLULAR PHYSIOLOGY AND BIOCHEMISTRY(2017)
Abstract
Background/Aims: Long noncoding RNAs (lncRNAs) play important roles in stem cell differentiation. However, their role in osteogenesis of human adipose-derived stem cells (ASCs), a promising cell source for bone regeneration, remains unknown. Here, we investigated the expression profile and potential roles of lncRNAs in osteogenic differentiation of human ASCs. Methods: Human ASCs were induced to differentiate into osteoblasts in vitro, and the expression profiles of lncRNAs and mRNAs in undifferentiated and osteogenic differentiated ASCs were obtained by microarray. Bioinformatics analyses including subgroup analysis, gene ontology analysis, pathway analysis and co-expression network analysis were performed. The function of lncRNA H19 was determined by in vitro knockdown and overexpression. Quantitative reverse transcription polymerase chain reaction was utilized to examine the expression of selected genes. Results: We identified 1,460 upregulated and 1,112 downregulated lncRNAs in osteogenic differentiated human ASCs as compared with those of undifferentiated cells (Fold change >= 2.0, P < 0.05). Among these, 94 antisense lncRNAs, 85 enhancer-like lncRNAs and 160 lincRNAs were further recognized. We used 12 lncRNAs and 157 mRNAs to comprise a coding-non-coding gene expression network. Additionally, silencing of H19 caused a significantly increase in expression of osteogenesis-related genes, including ALPL and RUNX2, while a decrease was observed after H19 overexpression. Conclusion: This study revealed for the first time the global expression profile of lncRNAs involved in osteogenic differentiation of human ASCs and provided a foundation for future investigations of lncRNA regulation of human ASC osteogenesis. (C) 2017 The Author(s) Published by S. Karger AG, Basel
MoreTranslated text
Key words
Long noncoding RNAs,Osteogenesis,Adipose-derived stem cells,Microarray
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined