My experiment has one independent variable with 2 levels (sham & surgery) and I have run a PCR experiment on several genes for the subjects in each group. So, each gene is its own dependent variable and I am running a t-test for each gene to assess whether there is a significant difference.
I understand that for multiple comparisons between groups in one dependent variable requires a correction for type I error however does this apply when I am only running one t-test per dependent variable? In this case there are six genes in my experiment so I would be doing 6 t-tests on separate measures (thought the genes all come from the same set of subjects). Do I still treat these t-tests in the way I would treat 6 multiple comparisons in an ANOVA and use something like a bonferroni correction for the p value?