Jesus Miro-Bueno

@mirobueno.bsky.social

Researcher at CNB-CSIC. Co-founder of NEWTONBiotwins.com/en/. Synthetic Biology | Digital Twins

Bacteria do compute and can be reprogrammed for new capacities—but not exactly by following Turing’s rules. Evolution, context dependence, and the soft-matter nature of living hardware redefine what computation means in biology. From @angelgm.bsky.social Lab 👉🏻 www.sciencedirect.com/science/arti...

Exploring the computing power of microbes that shapes the environment

Microbes process input information into output responses through diverse genetic and metabolic mechanisms, effectively making them physical systems th…

sciencedirect.com

Side story: NAND gates where one input deals directly with growth control, and it is the actual physical body doing the computation. This is our initial approach to morphological computing in living cells. #biocomputation #alife Our new strain KT-TTX is truly fascinating. Feedback welcome!

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Angel Goñi-Moreno@angelgm.eurosky.social · 8mo ago

Preprint out! By controlling growth, via RNAP, we control the entire cellular machinery, and tune the cellular context into distinct, stable states. See how NOT gates behave! Kudos to @angeles-hg.bsky.social and @mirobueno.bsky.social 🔗https://www.biorxiv.org/content/10.64898/2025.12.19.695408v1

Preprint of our work tuning bacterial growth, something that changes context for genetic circuits and therefore, their behaviour. Very interesting observations from both experimental results and a model describing it in this piece of work with @mirobueno.bsky.social and @angelgm.bsky.social! :)

Angel Goñi-Moreno@angelgm.eurosky.social · 8mo ago

Preprint out! By controlling growth, via RNAP, we control the entire cellular machinery, and tune the cellular context into distinct, stable states. See how NOT gates behave! Kudos to @angeles-hg.bsky.social and @mirobueno.bsky.social 🔗https://www.biorxiv.org/content/10.64898/2025.12.19.695408v1

Preprint out! By controlling growth, via RNAP, we control the entire cellular machinery, and tune the cellular context into distinct, stable states. See how NOT gates behave! Kudos to @angeles-hg.bsky.social and @mirobueno.bsky.social 🔗https://www.biorxiv.org/content/10.64898/2025.12.19.695408v1

Growth control as a central regulator for tuning the cellular context

The cellular context interacts with genetic circuits, decisively defining their performance. However, contextual dependencies (the interplay between the host and the circuit) are often difficult to en...

biorxiv.org

💡El #CSIC lidera dos proyectos de innovación europeos para prevenir la sismicidad y analizar en profundidad células vivas 👩‍💻Las iniciativas buscan gestionar los riesgos sísmicos de la actividad geoenergética y desarrollar gemelos digitales pioneros ➡️ https://tinyurl.com/d2m5ffzk

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Just out! Want to use quorum sensing (QS) for cell–cell communication? Check this out — you might find it useful! Kudos to Paula Múgica 👏 Standardized Quorum Sensing Tools for Gram-Negative Bacteria | @pubs.acs.org @acs.org #SyntheticBiology @sevaplasmids.bsky.social pubs.acs.org/doi/10.1021/...

Standardized Quorum Sensing Tools for Gram-Negative Bacteria

Engineering synthetic consortia to perform distributed functions requires robust quorum sensing (QS) systems to facilitate communication between cells. However, the current QS toolbox lacks standardized implementations, which are particularly valuable for use in bacteria beyond the model species Escherichia coli. We developed a set of three QS systems encompassing both sender and receiver modules, constructed using backbones from the SEVA (Standard European Vector Architecture) plasmid collection. This increases versatility, allowing plasmid features like the origin of replication or antibiotic marker to be easily swapped. The systems were characterized using the synthetic biology chassis Pseudomonas putida. We first tested individual modules, then combined sender and receiver modules in the same host, and finally assessed the performance across separate cells to evaluate consortia dynamics. Alongside the QS set, we provide mathematical models and rate parameters to support the design efforts. Together, these tools advance the engineering of robust and predictable multicellular functions.

pubs.acs.org