Kirill Sechkar

Quantum spin resonance in engineered proteins for multimodal sensing - Nature A recently developed class of magneto-sensitive fluorescent proteins are engineered to alter the properties of their response to magnetic fields and radio frequencies, enabling multimodal sensing of b...

Our research on magneto-sensitive fluorescent proteins and some of their applications has now been published!

Huge thank you to the many many people involved in making this happen. 🧪

www.nature.com/articles/s41...

A meme comparing the CDC 2025 conference logo to an elephant, based on the book 'Le Petit Prince'

People in SynBio are still recovering from my past two conference sketches, so this time I'm traumatising Control Theory researchers instead. Click the link to read the latest humorous report from #CDC2025 in Rio de Janeiro

open.substack.com/pub/ksechkar...

A meme comparing the CDC 2025 conference logo to an elephant, based on the book 'Le Petit Prince'

People in SynBio are still recovering from my past two conference sketches, so this time I'm traumatising Control Theory researchers instead. Click the link to read the latest humorous report from #CDC2025 in Rio de Janeiro

open.substack.com/pub/ksechkar...

Sketch: Synthetic Biology UK 2025 Another scientific meeting, another jocular report

Not sure if that's what @biochemsoc.bsky.social had in mind when asking us to share our conference experience with the tags #BiochemEvent and #SBUK2025, but here comes my humorous SKETCH of this week's London gathering

open.substack.com/pub/ksechkar...

Sketch: Synthetic Biology UK 2025 Another scientific meeting, another jocular report

Not sure if that's what @biochemsoc.bsky.social had in mind when asking us to share our conference experience with the tags #BiochemEvent and #SBUK2025, but here comes my humorous SKETCH of this week's London gathering

open.substack.com/pub/ksechkar...

In case you wanted to keep up with SynBio news but don't like the weekend read format, you can now classify my sketch as a weekday read instead

Sketch: iGEM 2025 Grand Jamboree Reporting from the world's premier SynBio meeting in words usually reserved for UK politics

Click to read the piece on substack (this is also how I share summaries of my reseach - and will post many more things in the future) open.substack.com/pub/ksechkar...

Thrilled to have attended this week's iGEM Jamboree - full of amazing teams, brilliant research and indomitable SynBio optimisim

But even if you couldn't come, you can still watch me embarass myself by trying to write it up as a satirical sketch (link in the next post)

So how can we reframe 'balancing innovation with safety'? Well, it's still vital to *innovate safely* and have robust regulation, but I'd say we also have the responsibility to *innovate FOR safety* - and this premise is baked into the idea of Engineering Biology itself 6/6

Identifying these behaviours, we can then design biosystems with robustness, safety and reliability in mind (e.g. that's what our ongoing @eebio.bsky.social
programme is all about). Innovative stuff, but hardly pitted against safety! 5/6

Using automatic culturing platforms, we work to characterise biotechnologies' behaviours as they're affected by factors like randomness, evolution or (my own area of interest) the sheer interconnectedness and complexity of living systems - so they won't catch us by surprise 4/6

I, for one, am doing a PhD supervised by Prof Harrison Steel at the Oxford Control Group. Just like EngBio's name would suggest, we approach problems in *biology* with principles from control *engineering* - which include precisely robustness, predictability and safety! 3/6

One common point in these discussions is the need to 'balance innovation with safety'. Fair! As mentioned in the debate, one mishap can tarnish the field's reputation for good, so robust regulation is vital. But why do we often frame innovation and safety as opposites? 2/6

Exciting times in UK EngBio governance!
-Debate on the House of Lords' EngBio report (we submitted evidence for that, wow!) shorturl.at/bJHUE
-New Science & Technology framework shorturl.at/cZkGG
-EngBio Aspirations Report shorturl.at/F9dj0
Won't post all my precious thoughts, but hope one is OK 1/6

NEW PREPRINT! Do you think we can do better when characterising resource competition properties of gene circuit modules? If no, think again; if yes, you’re in for a pitch how exactly we can do that – automated culturing, cybergenetic control and all! 1/
doi.org/10.1101/2025...

Thanks to my supervisor Prof Harrison Steel , as well as to our collaborators from @eebio.bsky.social - Sara Brancato, Prof Lucia Marucci and Dr Ludovic Renson for advice. They’re also working on exciting applications of CBC right now, so watch them closely (what a time to be alive!) 9/9

For now, this is more of a pitch with an in silico proof-of-concept, but we discuss which developments in SynBio and control will help us apply this protocol in vivo. Briefly, advanced control algorithms + single-cell culturing + optogenetics = fun 8/

We successfully simulate our protocol using different models of various complexities (e.g. see results for a mechanistic resource-aware cell model in the pic below) – gives us reason to think it should work in (even more complex) real cells! 7/

From start to finish, our proposed method involves first establishing the probe’s properties, then using it to do CBC with the genetic module of interest. The results can then predict how any two characterised modules will compete for resources! 6/

Here, the module of interest’s output is its fluorescent gene expression, and the feedback input is e.g. chemical induction of another ‘probe’ genetic module competing with it for resources 5/

We suggest using control-based continuation (CBC), where a stabilising external feedback input drives a system through the entire range of its equilibria! 4/

Model-guided gene circuit design for engineering genetically stable cell populations in diverse applications | Journal of The Royal Society Interface Maintaining engineered cell populations’ genetic stability is a key challenge in synthetic biology. Synthetic genetic constructs compete with a host cell’s native genes for expression resources, burde...

Yet arugably, multistability & bifurcations are the most fun bit! And we know resource competition may cause them (and sometimes that’s even leveraged by circuit designs like our recent Punisher doi.org/10.1098/rsif... ). So characterisation of competition should include them… What should we do? 3/

To gauge resource demands, we often look at how modules compete for gene expression resources with constitutive fluorescent reporter genes. But there’s a problem: in multistable systems, constant resource competition may drive your system to just one steady state among many possible

NEW PREPRINT! Do you think we can do better when characterising resource competition properties of gene circuit modules? If no, think again; if yes, you’re in for a pitch how exactly we can do that – automated culturing, cybergenetic control and all! 1/
doi.org/10.1101/2025...

Hope I’ve gotten you interested enough to go and read our paper for details! And the best way I can conclude is by thanking the editors & reviewers, @Harrison_Steel for supervision and coauthorship, and @Andreas_Porse and other Steel Lab members for their great advice! 10/10

We also consider beneficial *native* gene mutations. For the same growth advantage, these are less prone to triggering the Punisher than synthetic gene loss, yielding better fitness. Clonal interference can thus help to hinder engineered cell populations’ function loss 9/10

How about transient reductions in burden due to uneven plasmid and cell cycle fluctuations? We can likewise model these to show that the Punisher is robust to such disturbances 8/10

Though the Punisher’s aimed at penalising mutations of genes burdening the cell primarily via resource competition, we also model metabolic burden. Turns out, our design can punish mutations of metabolically burdensome genes, too – just tune the chemical induction again! 7/10

What’s new since the preprint? We now simulate many more scenarios beyond those just showcasing the Punisher in action! Beyond just studying our circuit, we believe our approaches could generally come in handy for resource-aware modelling of single cells and populations 6/10

We also define a population model based on deterministic and stochastic simulations, directly linking physiological parameters of synthetic genes and circuit performance on a populational level. Our model shows the Punisher really is helpful in settings like bioreactors 5/10