More 🥾 pics

Making the Right Moves is great www.hhmi.org/sites/defaul...

More snow hike pics, Percival's Island, #Lynchburg

Here's the comparison of time-evolving phase portraits of cardiac differentiation in WT (2 saddlenode bifurcations: mono->bi->new monostable) vs. Brm-KO (reversal of 1 saddlenode bifurcation: mono->bi->old bistable)

Still, I'm very excited by the potential for more generalized Waddington/energy landscapes such as yours for revealing a wide range of transition types.

In contrast, as @benoitbruneau.bsky.social noted the original Waddington diagram only shows pitchfork bifurcations (2 stable states split off from 1)

Great questions, agreed! There are a number of possible transition types. I think this demo by my daughter of how Brahma KO breaks the second saddle node bifurcation was surprisingly our most intuitive.

Yes this is very cool! Our Brahma model was more focused and hypothesis driven, but would be cool to see if this data driven approach can find the saddle node bifurcations automatically.

I think "should" is very important during review. "Suffering happens in the gap we hold between the expectations we have (of preliminary data) and reality."
— Poppy Jamie

Would love to see a survey on what percent of an NIH grant should already be completed as preliminary data.

Sure thanks will DM!

More Riprap #hiking

These show that neuregulin-1 induces cardiomyocyte Feret elongation via sustained PI3K signaling, while transient p38 signaling increases cell size but not shape. This study leverages experimental-computational methods to dissect how signaling dynamics distinctly regulate cell size vs. shape. 3/3

We first characterized the proteomic, gene expression, and phenotypic responses of cardiomyocytes (including our new cell shape metric Feret elongation) to diverse ligands. We integrated this data with data-driven and mechanistic computational models, validated with new perturbation experiments. 2/