Pierre Millard
@pierremillard.bsky.social
86 followers 84 following 20 posts
Systems biologist at Toulouse Biotechnology Institute, INRAE, France Member of MetaboHub consortium ❓️ Focus on microbial metabolism for biotechnology and health 🛠 Main tools: modeling, fluxomics, metabolomics, isotope-based approaches
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pierremillard.bsky.social
In our new review, we revisit overflow #metabolism across living organisms and propose universal principles of its functioning, integrating insights from studies on yeast, bacterial, and mammalian cells 🦠✨

First first-author paper of Thomas Gosselin-Monplaisir 🥳

👉 Read it here: urlr.me/82Zspc
Reposted by Pierre Millard
ricardsole.bsky.social
How can biological systems anticipate future events? In our new paper with @jordiplam.bsky.social, we show how a simple genetic circuit can predict future trends through a simple (and perhaps widespread) mechanism @drmichaellevin.bsky.social @koseskalab.bsky.social www.biorxiv.org/content/10.1...
Reposted by Pierre Millard
pnas.org
For 25 years, the Chair of the @laskerfdn.bsky.social Jury has reflected on the intersection of science and art in an annual essay. This year, Joseph L. Goldstein explores “From simplicity to complexity: A path to innovation in science and art.” Read now: www.pnas.org/doi/10.1073/...
2025 Lasker Awards – “From simplicity to complexity: A path to innovation in science and art.” Read the essay in a PNAS Perspective. Portrait of Joseph L. Goldstein.
Reposted by Pierre Millard
astropierre.com
Suite à la migration de scientifiques et d'universitaires de X, Bluesky est devenue une l'une des alternatives.

Afin d'évaluer sa viabilité/pertinence pour la communication scientifique, cette étude présente une analyse à grande échelle de la diffusion d'articles scientifiques sur Bluesky.

1/5
Image d'un téléphone sur lequel se trouve le logo et le nom de Bluesky.
En arrière-plan, un papillon blanc sur fond bleu
Reposted by Pierre Millard
guimaguade.bsky.social
Microbial communities can harbor many species that do not coexist in pairs, yet can coexist in the full community. Here we provide the mathematical foundations of emergent coexistence, and explain why it can't be predicted from pairwise tests www.biorxiv.org/content/10.1...
Reposted by Pierre Millard
annizlab.bsky.social
Cool! Some gut microbes make 2-MiCit from propionate. In vitro, it inhibits 3D colon tumor growth (and normal cells at high dose). Just a 'lucky' one among millions of microbial by-products? I haven't thought of any selective advantage 🤔 Thoughts? 🦠🧪 #microsky #microbiomesky doi.org/10.1016/j.ce...
Reposted by Pierre Millard
saezlab.bsky.social
🥁 Check out our new preprint on OmniPath, the prior knowledge resource for #SystemsBiology, and its brand-new OmniPath Explorer web app! 🥳

📖 Preprint: www.biorxiv.org/content/10.1...
🔍 Explorer: explore.omnipathdb.org

OmniPath integrates 160+ resources for multi-omics analysis & modeling.

🧶⬇️
Reposted by Pierre Millard
Reposted by Pierre Millard
pierremillard.bsky.social
In our new review, we revisit overflow #metabolism across living organisms and propose universal principles of its functioning, integrating insights from studies on yeast, bacterial, and mammalian cells 🦠✨

First first-author paper of Thomas Gosselin-Monplaisir 🥳

👉 Read it here: urlr.me/82Zspc
Reposted by Pierre Millard
annizlab.bsky.social
A plasmid golden ratio? 🧬
Plasmid copy number ≈ 2.5% of chromosome size—consistent across bacterial species!
pmc.ncbi.nlm.nih.gov/articles/PMC... @jerorb.bsky.social
🧪 #microbesky
a Scatter plots showing the correlation between plasmid size (x-axis) and PCN (y-axis) for the analysed genera. Each point represents the median PCN and plasmid size for each PTU, and error bars indicate the standard deviation from the median. Grey lines represent ordinary least squares regression, with the surrounding shaded area indicating 95% confidence intervals. The scaling factor or slope, k, is indicated on each panel. b Distribution of total DNA load per plasmid (x-axis) relative to chromosome size per genus (y-axis). The DNA load of each plasmid is calculated by multiplying the plasmid size by the copy number and then expressed as a proportion relative to the chromosome size. The point inside the box marks the median. The upper and lower hinges correspond to the 25th and 75th percentiles, and whiskers extend to 1.5 times the interquartile range. Only Escherichia and Salmonella significantly differ from All; Kruskal–Wallis test followed by Dunn’s test for pairwise multiple comparisons p < 10−4; effect size = 0.006. c Relative plasmid DNA load observed (%) (x-axis) and expected (y-axis) per cell. The y-axis indicates the expected plasmid DNA load (%) inside a cell when it contains one plasmid (1n), two plasmids (2n), and so on. This expected data has been calculated by generating a sequence from 1 to 9 multiplied by the median of the DNA load per plasmid (2.49%). Each green point represents a single genome, and the black points are the median for each category. Shading indicates interquartile ranges. Pearson’s p value and coefficient are shown for the correlation between expected and observed plasmid DNA.
Reposted by Pierre Millard
ricardsole.bsky.social
Can a single cell learn? Even without a brain, some microbes show simple forms of cognition. Can this basal cognition be engineered? Check our new paper with @jordiplam.bsky.social on the minimal synthetic circuits & their cognitive limits. @drmichaellevin.bsky.social www.biorxiv.org/content/10.1...
Reposted by Pierre Millard
ajfedorec.bsky.social
I'm going to be advertising for a few positions in my group in the next couple of months for a big project on synthetic microbial communities.

I would love to hear from you if you are interested and I'd also appreciate if everyone could share this far and wide!
Reposted by Pierre Millard
tbharat-lab.bsky.social
Sub-cellular chemical mapping in bacteria using correlated cryogenic electron and mass spectrometry imaging

Congrats Hannah Ochner and authors on this important paper! Strong collaboration with @kiranrpatil.bsky.social

www.biorxiv.org/cgi/content/...
@mrclmb.bsky.social @wellcometrust.bsky.social
Reposted by Pierre Millard
eorsi.bsky.social
Please repost!

Postdoc in adaptive laboratory evolution and C1 synthetic metabolism!

Location: DTU Biosustain

🦠🧬🔬

Starting in 01/2026!

Fell free to reach out if you have questions!
efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
efzu.fa.em2.oraclecloud.com
Reposted by Pierre Millard
deshadock.bsky.social
Je pense à ce fil depuis hier, et je me posais la question de ce que ça implique pour les efforts d'apprendre la programmation et ou l'algorithmique aux non spécialistes.
juliengossa.cpesr.fr
My two cents after two months of AI-assisted programming.

Agile methods are going to lose ground, and we’ll go back to requirement documents and specifications/designs carefully tied up in advance.

And this poses an educational challenge.
a black and white photo of a boy with the caption dude copilot is so goo- shut up get out of my head
ALT: a black and white photo of a boy with the caption dude copilot is so goo- shut up get out of my head
media.tenor.com
Reposted by Pierre Millard
Reposted by Pierre Millard
clausenlab.bsky.social
big one! a decade in the making. nadler & team develop tools to track lipid transport in living cells at single-species resolution. turns out non-vesicular, asymmetry-driven transport is the main architect of organelle identity. feels like the dawn of a golden era for lipid biology. rdcu.be/eBGJv
Quantitative imaging of lipid transport in mammalian cells
Nature - Directional, non-vesicular lipid transport is responsible for fast, species-selective lipid sorting into organelle membranes.
rdcu.be
Reposted by Pierre Millard
zeynepbaharoglu.bsky.social
Aggresomes protect mRNA under stress in Escherichia coli
www.nature.com/articles/s41... "prolonged stress leading to ATP depletion in Escherichia coli results in increased aggresome formation, compaction and selective mRNA enrichment within these aggresomes" 🦠 #microsky #rnasky
Aggresomes protect mRNA under stress in Escherichia coli - Nature Microbiology
Ribonucleoprotein aggresomes exclude ribonucleases and protect mRNA to promote rapid translation reactivation and cellular recovery after stress alleviation in Escherichia coli.
www.nature.com
Reposted by Pierre Millard
oborkowski.bsky.social
Autocatalytic selection of gene functions in vitro
doi.org/10.1101/2025...