Mouse Osteoblast Differentiation RNA-seq analysis

Analysis of the data indicated that there were clear changes in temporal expression which can also be observed through enriched pathways. K-means clustering reveals similarly behaving groups of genes which have the potential to be key players in the cell differe Overall design: Investigation genome-wide expression and pathway changes in cells differentiating to mouse osteoblasts at 5 time points.

数据分析结果表明，该数据集的时序表达存在显著变化，此类变化可通过富集通路（enriched pathways）观测得到。K-means聚类（K-means clustering）可识别出表达模式相似的基因簇，此类基因簇极有可能是细胞分化过程中的核心作用因子。整体实验设计：在5个时间点下，对向小鼠成骨细胞（mouse osteoblasts）分化的细胞开展全基因组表达与通路变化研究。