I have found a significant gene (BIRC5) between lung cancer tumor and adjacent normal samples. In the literature, it is mentioned that BIRC5 (an anti-apopotic gene) is generally upregulatd is most solid tumors. But unlikely, in my case I'm getting its expression as downregulated in tumor samples as compared to normal. Is it possible to get expression status of a gene altered in biofomatics analysis as compared to wet-lab results? Does this depend on sample size or type of dataset?
Hi,
Yes it is possible to get expression status of a gene differ in your bioinformatics analysis as compared to the wet-lab results. It mostly depends on the type of dataset you have and the kind of analysis you are doing. The bioinformatics covers broad areas and uses controlled set of conditions for such analysis which may not correlate with the uncontrolled wetlab conditions. When I faced similar situation, I broadened my approach and looked for the epigenetic factors such as TFs and methylation. I could identify the factors that were involved in the changed gene expression.
My suggestion is to look for the similarities and differences that you have in your experimental setup of both dry-lab and wet-lab experiments to identify the factors that are downregulating the gene expression. All the best!
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