@entity1643 ( @entity1643 ) is a very prevalent disease and @entity179 ( @entity179 ) usually account for the @entity1643 . However, the pathogenesis of @entity179 is complicated and difficult to elucidate. Alternative splicing is a sophisticated regulatory process which greatly increases cellular complexity and phenotypic diversity of eukaryotic organisms. In addition, the cartilage endplate-derived stem cells have been discovered and identified by our research group. In this paper, we continue to investigate gene expression profiling and alternative splicing events during chondrogenic differentiation of cartilage endplate-derived stem cells. We adopted Affymetrix @entity1 Transcriptome Array 2.0 (HTA 2.0) to compare the transcriptional and splicing changes between the control and differentiated samples. RT-PCR and quantitative PCR are used to validate the microarray results. The GO and KEGG pathway analysis was also performed. After bioinformatics analysis of the data, we detected 1953 differentially expressed genes. In terms of alternative splicing, the Splicing Index algorithm was used to select alternatively spliced genes. We detected 4411 alternatively spliced genes. GO and KEGG pathway analysis also revealed several functionally involved biological processes and signaling pathways. To our knowledge, this is the first study to investigate the alternative splicing mechanisms in chondrogenic differentiation of stem cells on a genome-wide scale.

Global Gene Expression Profiling and Alternative Splicing Events during the Chondrogenic Differentiation of XXXX Cartilage Endplate-Derived Stem Cells.

@entity1 :: ('9606', 'Species') :: ['Human'] @entity1643 :: ('MESH:D017116', 'Disease') :: ['Low back pain', 'LBP'] @entity179 :: ('MESH:D019636', 'Disease') :: ['degenerative disc diseases', 'DDDs']
@entity1 :: (9606,Species) :: ['Human']
