You can express a Student-t distribution as a continuous mixture of normal distributions. Some properties of the t distribution are easier to prove in this form. Here are notes with details.
I ran across this tidbit reading Bayesian Data Analysis by Gelman et al.
Related post: Beer, Wine, and Statistics (origin of the Student-t distribution)