Skip to main content

T-World 4: Problem 2 - Coupling ICaL and RyR

 To address the issue of timing of calcium rise in the junctional dyad, I first tried to just facilitate the calcium-sensitivity of release. Nope, again too fidgety and prone to spontaneous release when pushing the sensitivity too far.

I then had an idea I was slightly proud of – that was after I had the bucket size insight. I thought – ok, let’s split the dyad into an “inner dyad”, which is even smaller, and where ICaL and RyR meet, and an “outer dyad”, where e.g. the Na-Ca exchanger could reside. In this way, we would have even tighter coupling with a smaller bucket, and thus faster dynamics. Going over papers on dyad sizes and counts, a back-of-an-envelope calculation revealed we can push the inner dyad size down quite a bit. This has worked really well for a lot of aspects, we had nice calcium dynamics, alternans, DADs, all looked pink and rosy. Except then I realised that the model had massive issue with the release being far too refractory. I tried to address it, but could not (even with genetic algorithms etc.). I was quite stuck.

Then I came up with an alternative – somewhat less elegant in my view – the tightest coupling could be represented by a small population of RyR directly coupled to ICaL (like in ToR-ORd), which would provide enough early calcium rise to trigger the much larger population of more standard Bers/Grandi RyRs. This should also facilitate fast rise of calcium and should be less prone to issues with refractoriness… and it was!

So, then I went forward with this alternative, and it actually made it throughout the years to the final version. It was really hard to let go the two-tier dyad idea, which seemed elegant and I was working with it for over a year. I was switching to a markedly different system which initially didn’t work as well in some regards – but it could be ultimately developed much further.

This choice also illustrates a common situation in model development – you just go for the more promising option, not knowing if it will be the ultimately used one. Sometimes it happened that this more promising option would lead me to an even more desperately stuck state, so then I’d revisit a prior idea that I left in a drawer as unpromising… or yet another idea. I’d draw trees of what options are left to achieve what I wanted. Often one gets more experience in one development branch that can be used to fix issues in other branches. Of course, sometimes just nothing works.

Comments

Popular posts from this blog

Several tips on junior fellowship applications

It turns out I was fortunate enough to receive the Sir Henry Fellowship from Wellcome Trust. This is a four-year international fellowship that will allow me to spend some time at UC Davis, California as well as University of Oxford, focusing on interdisciplinary investigation of diabetic arrhythmogenesis. It was certainly an interesting and person-developing experience (obviously viewed more favourably given the outcome). I had the advantage of working under/with highly successful people who gave me valuable advice about the process and requirements. I am quite sure that  I would not have gotten the fellowship without the support of Profs. Manuela Zaccolo, Blanca Rodriguez, and Don Bers, to whom I'm deeply grateful. However, not everyone has such nice and investing-in-you supervisors and beyond very generic advice, there is very little information on the internet on what the process of applying for junior fellowship entails [1]. The aim of this text is to share some findings I ma...

Writing a book punk-style

  Our book on statistics is coming out, after three years of work. The number of questions on “how did this happen?” and “how is it to write a book” I’ve been getting recently warrants a blog post with a bit of an early post-mortem – here it is! How did this happen is answered quite easily: I’ve often advised colleagues on statistics, and they frequently asked, “which book should I get”? Despite suggesting some textbooks, colleagues generally found them too long, and/or complicated and/or missing important content while containing plenty of lower-relevance information. Over time, I understood why existing books do not quite meet their needs. Examples of problems include:   Length over 500 pages.  This is completely fine for people who  want  to learn statistics in a certain depth. But most researchers in life sciences are busy with their own research and do not have training and priority for an in-depth d...

Making a Model: Part 0 - Introduction

Welcome, dear reader. This is the start of a short series of blog posts aimed at providing some insight into the process of development of a computational model of a cell. The type of the model we’ll focus at is one which simulates the development of ionic concentrations and behavior of ionic currents and fluxes over time (probably most relevant for excitable cells such as cardiomyocytes or neurons). I'm hoping that tips and observations in this series will be of use to graduate students and researchers who are interested in computer simulations. While the posts are about the development of human ventricular cardiomyocyte model ToR-ORd ( https://elifesciences.org/articles/48890 ), I mostly try to focus on general observations (usually those I wish I knew about when I started). I decided to write up the topics in the form of blog, given that scientific publications tend to have a somewhat rigid format, and tend to focus at what is done, how, and what it means, rather than at ...