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A genome wide analysis of alternative splicing events during the osteogenic differentiation of human cartilage endplate-derived stem cells
A genome wide analysis of alternative splicing events during the osteogenic differentiation of human cartilage endplate-derived stem cells
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A genome wide analysis of alternative splicing events during the osteogenic differentiation of human cartilage endplate-derived stem cells
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A genome wide analysis of alternative splicing events during the osteogenic differentiation of human cartilage endplate-derived stem cells
A genome wide analysis of alternative splicing events during the osteogenic differentiation of human cartilage endplate-derived stem cells

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A genome wide analysis of alternative splicing events during the osteogenic differentiation of human cartilage endplate-derived stem cells
A genome wide analysis of alternative splicing events during the osteogenic differentiation of human cartilage endplate-derived stem cells
Journal Article

A genome wide analysis of alternative splicing events during the osteogenic differentiation of human cartilage endplate-derived stem cells

2016
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Overview
Low back pain is a prevalent disease, which leads to suffering and disabilities in a vast number of individuals. Degenerative disc diseases are usually the underlying causes of low back pain. However, the pathogenesis of degenerative disc diseases is highly complex and difficult to determine. Current therapies for degenerative disc diseases are various. In particular, cell-based therapies have proven to be effective and promising. Our research group has previously isolated and identified the cartilage endplate-derived stem cells. In addition, alternative splicing is a sophisticated regulatory mechanism, which greatly increases cellular complexity and phenotypic diversity of eukaryotic organisms. The present study continued to investigate alternative splicing events in osteogenic differentiation of cartilage endplate-derived stem cells. An Affymetrix Human Transcriptome Array 2.0 was used to detect splicing changes between the control and differentiated samples. Additionally, molecular function and pathway analysis were also performed. Following rigorous bioinformatics analysis of the data, 3,802 alternatively spliced genes were identified, and 10 of these were selected for validation by reverse transcription-polymerase chain reaction. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway analysis also revealed numerous enriched GO terms and signaling pathways. To the best of our knowledge, the present study is the first to investigate alternative splicing mechanisms in osteogenic differentiation of stem cells on a genome-wide scale. The illumination of molecular mechanisms of stem cell osteogenic differentiation may assist the development novel bioengineered methods to treat degenerative disc diseases.