Iain Johnston

@mitomaths.bsky.social

Stochastic Biology Group: using maths, stats, and experiments to learn about biology and disease. We love organelles and oDNA, evolution, noise, and inference. https://stochasticbiology.w.uib.no/

Highly recommend this, and it's a key element in most physics training. I'd add another trick that many biologists could benefit from, a small thing that makes a big difference: always use units. If you're unsure about the units of your number, chances are you don't properly understand it.

Jonathan Pritchard@jkpritch.bsky.social · 2w ago

Must-know numbers in human genetics -- As many of you know, I'm writing a free online textbook in human genetics. In this blog post I cover a key skill for genome scientists from that book: how to use mental math to figure out key genome properties. jkpritchard.substack.com/p/on-fermi-p...

Excited to meet this in its final form, and thanks to all at @plosbiology.org for a very smooth and useful review and editing process!

PLOS Biology@plosbiology.org · 2mo ago

How does #AntimicrobialResistance in #Klebsiella pneumoniae arise? @mitomaths.bsky.social &co use machine learning to explore how resistance evolves across different countries, revealing shared & region-specific pathways that may help forecast #AMR evolution @plosbiology.org 🧪 plos.io/4vc5v19

Drug resistance in Klebsiella pneumoniae (background) is an international health threat. Hypercubic inference uses machine learning to identify the pathways (foreground) by which Klebsiella evolves drug resistance in different countries around the globe. Image credit: CC-BY Iain Johnston.

Excited to share a new preprint! Lots of evolutionary processes, from AMR to cancer, involve biology acquiring features (drug resistances, mutations, etc). These are sometimes called "accumulation pathways", an instance of discrete character evolution. 1/

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🚨Excited to announce a new preprint from our lab, where we describe an ancient metabolic axis that controls mitochondrial genome copy number; a mechanism we uncovered in human cells that stretches through evolution to control mtDNA in flies, yeast and even plants!

biorxiv.org

"The increasing involvement of technology companies in mathematical research raises the risk that research questions may come to be prioritized because of their amenability to automated mathematics, rather than expert judgment of their deeper significance."

Leiden Declaration on Artificial Intelligence and Mathematics

This declaration calls for action to address the challenges posed by the use of artificial intelligence within mathematics research.

leidendeclaration.ai

Chemist/physician Dr. Maud Menten co-authored the seminal paper 𝘋𝘪𝘦 𝘒𝘪𝘯𝘦𝘵𝘪𝘬 𝘥𝘦𝘳 𝘐𝘯𝘷𝘦𝘳𝘵𝘪𝘯𝘸𝘪𝘳𝘬𝘶𝘯𝘨, 1931. This intro'd the Michaelis–Menten equation (image). It remains a cornerstone of #biochemistry, used in drug design, metabolic studies & enzyme engineering. She was born #OTD in 1879. #WomenInSTEM

A black-and-white historical photograph of Dr. Maud Leonora Menten (1879–1960), the Canadian physician and biochemist who co-developed the Michaelis–Menten equation for enzyme kinetics. Taken in her laboratory (likely at the University of Pittsburgh in the 1910s–1920s), she stands with a serious, focused expression—lips closed, eyes direct and thoughtful—against a backdrop of wooden shelves filled with glass bottles, jars, scientific equipment, and a wire-mesh enclosure. She wears a dark dress with a lace collar, a string of beads, and her hair styled in a neat bun. Superimposed on the image is the Michaelis–Menten equation in white text:v=Vmax⁡[S]Km+[S]v = \frac{V_{\max} [S]}{K_m + [S]}v = \frac{V_{\max} [S]}{K_m + [S]}
This iconic portrait captures Menten during her groundbreaking research in biochemistry and histochemistry, where she helped establish the foundational mathematical model of enzyme-substrate reactions still used today, while overcoming significant gender barriers as one of the first women in Canada to earn both an M.D. and a Ph.D.

1. The thing about science that these jokers don't understand is that science cannot be vibe-coded. Whatever its flaws, the point with vibe coding is that you're trying to quickly make something that sorta works, where you can immediately sorta see if it sorta works and then sorta use it.

Carl T. Bergstrom@carlbergstrom.com · 7mo ago

“The idea is to put ChatGPT front and center inside software that scientists use to write up their work in much the same way that chatbots are now embedded into popular programming editors. It’s vibe coding, but for science.”

How do cells assess mtDNA quality? Local ATP and membrane-potential gradients reflect mtDNA integrity and drive intracellular purifying selection. We introduce FAST, a scalable mtDNA QC assay in S. cerevisiae. Great collaboration with the Schmoller Lab. journals.plos.org/plosgenetics... 🧬⚡

Local mitochondrial physiology defined by mtDNA quality guides purifying selection

Author summary Mitochondria are essential organelles in our cells that convert nutrients into usable cellular energy. They contain their own DNA, and mutations in this DNA can compromise mitochondrial...

journals.plos.org

1. Apply for one of the positions below (lab or theory) by Jan 18th 2. Learn interdisc skills and discover cool new things about how mitochondria move and socialise 3. Explore some of Norway's beautiful nature (both the below, Rundemanen and Gullfjellet, <10km from work)

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Iain Johnston@mitomaths.bsky.social · 8mo ago

‼️Two new PhD positions open! One experimental, one modelling, exploring these beautiful collective dynamics in mitochondria across species. 🇳🇴, good pay, full staff benefits. [Shares much appreciated] Lab: www.jobbnorge.no/en/available... Modelling: www.jobbnorge.no/en/available...

We have wondered what a complex archaeal cell might look like ever since 2014. It’s been a long road (and the journey is far from over), but it’s a good time to pause for breath and look. These Asgard archaeal cells are a surprise! And that is the joy of being a cell biologist.

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Celebrating grant award with a mountain run! MitoPhyto, a FRIPRO project, will combine modelling and microscopy to explore mitochondrial and mtDNA maintenance across non-bilaterian multicellular eukaryotes. Opportunities to come to Norway: please see next post

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