Signals Blog

Guest post by Paul Knoepfler, cross-posted on

This morning I particularly enjoyed a talk by Sui Huang [ed note: this talk also discussed here] focused on the application of mathematics as a tool to understand cell behavior and fate. I love this stuff! I just wish I was better at math and physics so I could have a deeper understanding of how they apply to stem cells. Huang is a true expert in this area.


I have to admit that I did not understand all of his talk, but I found it thought-provoking. Two things I confess to not entirely understanding that were mentioned: Pitchfork Bifurcation and Quasi-discrete phenotype transformations.

When Huang combined the words and images together I started to get a better intuitive sense of what it all meant and how it helped us understand stem cell fate.


Above is one of his pictures of hills, mountains, landscapes, and rolling stem cells. Cells needed to get over the peaks to take on new fates in new “states”, right? Energy is involved. I had a lot to think about.


Later after an interesting ethics seminar, I went for a nice hike along the Bow River to get back to nature and let all these ideas from the day get processed in my head. As I was taking everything in that this natural wonderland had to offer, something resonated in my head as familiar. Hmm, what could it be?

Can you guess what it was that seemed familiar from the picture just above here I took on my hike?

OK, so not everyone sees a mountain and imagines stem cells rolling around on it, but what can one do? I think I’m getting a handle on Pitchfork Bifurcation and Quasi-discrete phenotype transformations….and Banff definitely has something do with it.

The following two tabs change content below.


Signals accepts guest blog posts on topics relevant to stem cells and regenerative medicine, as well as submissions for its Right Turn Friday feature. See for more information. The opinions, accuracy, completeness and validity of any statements made in guest posts are the responsibility of the author only and not the editor of Signals or CCRM, publisher of Signals. The copyright of this content belongs to the author and any liability with regards to infringement of intellectual property rights remains with the author.