The Dot Blot
Bhuvi M -
Hello everyone! This week, my primary focus has been summarizing my Trimester 1 research for presentation at SARSEF. Today, I am eager to delve into a pivotal aspect of my study—the dot blot analysis, an intricate method that unveils crucial insights into the activation status of receptor tyrosine kinases (RTKs).
A dot blot can be thought of as a molecular detective technique designed to identify specific proteins in a small cell sample. It operates by placing a minute amount of the sample on a specialized paper and utilizing antibodies—akin to precision-trained agents—that selectively bind to the proteins of interest. Unwanted elements are then washed away. Subsequently, a secondary agent enhances the visibility of the targeted proteins, analogous to shining a spotlight on them. The intensity of this spotlight correlates with the abundance of the respective proteins in the sample. While the dot blot provides a rapid overview of protein presence, it lacks the precision of more quantitative methods.
To unravel the RTK landscape in GD versus OE33, we opted for the R&D Systems Human Phospho-RTK Array kit. The selection of this kit stems from its proven efficacy in revealing activated RTKs associated with aggressive cancers. Although not a pinpoint quantitative method, this approach provides qualitative data, illustrating the presence of activated Axl and c-Met in GD and suggesting nuanced differences. Additionally, our observations unveil a downregulation of the EGFR family in GD compared to OE33, confirming GD’s resistance to afatinib, an EGFR inhibitor.
The activation of Axl and c-Met, the latter labeled as its ligand HGF-R in the accompanying figure, suggests potential variations in mesenchymal markers. This finding is particularly noteworthy as it identifies Axl and c-Met as promising therapeutic targets, especially in the context of afatinib resistance.
Additionally, it’s essential to recognize that the dot blot analysis marks only the initiation of our exploration. In the upcoming weeks, I will discuss how I validated these results using RT-qPCR.
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