Gene expression data is crucial for understanding the molecular mechanisms underlying tumor development and progression. By analyzing the expression levels of various genes, researchers can identify key pathways involved in tumorigenesis, discover potential biomarkers for diagnosis and prognosis, and uncover novel therapeutic targets. This information is essential for advancing cancer research and developing more effective treatments. In Meritudio Tumor Models Database, there are two ways to obtain mRNA expression data for multiple genes.
This method allows users to select a specific biological pathway and view the expression and mutation information of all genes within that pathway. The animated graph shows the operations to obtain pathway activity score, gene expression, and mutation data for the Autophagy pathway in the WikiPathways database :
● Gene expression by default is displayed in z-transformed scores, users can select log2TPM as well.
● Rows and columns in the heatmap can be arranged in multiple ways.
● MTOR and PRKAA1 genes are mutated in this pathway and their mutations are mutually exclusive.
This method involves manually entering the names of specific genes to perform a search. This approach is useful when researchers have a predefined list of genes they are interested in and want to obtain detailed expression data for those particular genes. The animated graph shows the operations to obtain gene expression data for four key genes (MDM2, MDM4, CDKN2A, TP53) in the TP53 pathway:
● Gene expression by default is displayed in z-transformed scores, users can select log2TPM as well.
● Gray grids in the heatmap indicate data unavailable.
● Gene expression can be viewed, ranked, compared and downloaded from the table below the heatmap.
