This page presents the gene expression profiles and dynamics during 3T3-L1 cell adipogenesis, as quantified by RNA-seq. Differential expression (DE) analysis was conducted longitudinally across differentiation time points within each group, categorized by additional treatments beyond standard differentiation induction.
Due to experimental complexity and computational/bandwidth constraints, pairwise DE analysis between different treatments at identical time points is not provided. Users requiring more complex experimental designs can download the raw gene expression count files to perform custom downstream analyses.
All analyses are restricted to the gene level, which is sufficient for standard adipogenesis research. For advanced requirements (e.g., alternative splicing analysis or non-coding RNA identification), users may contact us to request the corresponding alignment (BAM) files.
All DE analyses—including those spanning only two time points—were performed using the Likelihood Ratio Test (LRT) framework in DESeq2, based on the null hypothesis that gene expression remains constant across all differentiation time points. All log2 fold changes are calculated by taking the zero timepoint as the baseline. Users can adjust the False Discovery Rate (FDR) threshold to control the statistical confidence of the DE analysis.
In addition to downloading the comprehensive DE analysis results for all genes, users can query and visualize DE results for specific targets of interest. Supported queries include individual genes, genomic regions, or IDs/names of GO terms and KEGG pathways. Specifying a genomic region will display all genes within that interval, while querying a GO term or KEGG pathway will retrieve all constituent genes.