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Jure Majnik

@juremaj.bsky.social
307 followers 815 following 20 posts

PhD student in (developmental/comp)neuroscience. Cossart lab (INMED, Marseille). track2p.github.io

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Reposted by Jure Majnik
Martin Haesemeyer @haesemeyerlab.bsky.social · 01/10/2026
CLOK: Truly beautiful new #zebrafish tool for birthdating neurons from the Koyama and Del Bene labs doi.org/10.1038/s415...
doi.org
CLOK: a chemigenetic multicolor labeling system to visualize neuronal birthdate and circuit integration - Nature Neuroscience
Faini et al. develop CLOK, a method that labels neurons across a spectrum of colors according to when they were born, allowing successive generations of brain cells to be tracked as they take shape in...
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Jason Rasgon @vectorgen.bsky.social · 30/09/2026
I am going to be buried with all my data, like the Pharaohs of old
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Pierre de Villemereuil @pdevillemereuil.bsky.social · 28/09/2026
With fieldwork, I didn't get to advertise our (not so now) new paper on the quantitative genetics of growth in the 🦎 in @journal-evo.bsky.social: dx.doi.org/10.1093/evol... It's an exciting paper paper in which we disentangle what it means to treat the whole growth curve as a function-valued trait!
dx.doi.org
Quantitative genetics of lifetime growth curves in a lizard
Abstract. Body size is an iconic trait in quantitative genetics. For species with indeterminate growth however, growth curve, a function-valued trait, is t
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epithelial mechanics fan club @epimechfc.bsky.social · 27/09/2026
Can mathematics explain how biological patterns are formed? Alan Turing thought so. Join me, @benswedlund.bsky.social , as we explore his reaction-diffusion theory and how it transformed our understanding of pattern formation and self-organisation.
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Rainer Friedrich @rainerfriedrichlab.bsky.social · 26/09/2026
Precise structural and functional organization of the olfactory bulb neuropil early in development, revealed by volume EM, dense reconstruction and 2P calcium imaging in zebrafish. Great work by Ruth and others in collaboration with @michalwj.bsky.social www.biorxiv.org/content/10.6...
biorxiv.org
Fine ultrastructural organization of glomerular neuropil in the developing zebrafish olfactory bulb
Across animal phyla, odor information is represented in the first olfactory processing center by combinatorial activation of discrete glomeruli. To examine how this organization of olfactory processin...
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Greg Priest @gregpriest.bsky.social · 25/09/2026
Thomas Hunt Morgan was born OTD in 1866. If you're ever feeling that your work is uending and unedifying, remember that he once said this: "Two years work wasted, I have been breeding those flies for all that time and I've got nothing out of it." 🌱🐋🧪 #HistSTM
Photograph of Morgan's Fly Room at Columbia University, around 1920. American Philosophical Society.
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The Transmitter @thetransmitter.bsky.social · 25/09/2026
How does the developing nervous system produce so many kinds of neurons? Two studies in flies reveal transcription-factor codes linked to neurons’ lineage and birth order. By Alissa de Chassey www.thetransmitter.org/development/...
thetransmitter.org
Fly neurons carry molecular signatures of their origins
The transcription factors a <em>Drosophila</em> neuron expresses offer clues to its lineage and birth order—and ultimately how neural circuits emerge.
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Loïc A. Royer 💻🔬🧪 @loicaroyer.bsky.social · 23/09/2026
What if any dataset, any size, any number of dimensions, opened in a browser tab from a link? 🔬🧪💻 Luxar is out today: write it in Python, share it as a link, explore it in any browser. Open source. 🧵 @biohub.org Preprint: doi.org/10.5281/zen... Code: github.com/royerlab/luxar
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Ann Kennedy @antihebbiann.bsky.social · 22/09/2026
We are very excited to use this method to study analytically how the interaction between neural activity and plasticity rules sculpts the dynamic landscape of a network in time-- for example to steer a developing circuit towards different architectures. Check it out! arxiv.org/abs/2609.22597
arxiv.org
Deviations from global coupling in adaptive oscillator networks: a mean-field theory for the variance of coupling weights
A wide range of physical and biological systems are adaptive networks, in which the dynamics of the nodes and of the edges connecting them co-evolve. Mean-field reductions of such systems typically tr...
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Jay Gallagher @jay-gallagher.bsky.social · 15/09/2026
🐟🚨 New paper! 🚨🐟 Where do behavioral differences come from? Early life environment clearly matters... ...or not? Early environment affected behavior, but NOT how different individuals became from each other. Those differences were seeded before birth through factors OTHER than genetic variation 🤯
onlinelibrary.wiley.com
Born This Way: Individuality Is Seeded Before Birth and Robust to Ecological Stress
We reared and recorded behaviours of clonal Amazon mollies in standardized environments, with and without predation stress, from birth through week four of life, to understand how the developmental e...
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John Tuthill @tuthill.bsky.social · 15/09/2026
yes, we can recognize pretty much all the same cell types across the existing fly connectomes. the new male CNS pape quantifies this. network topology between cell types is highly conserved, but synapse counts vary across datasets, likely due to reconstruction noise.
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domi @domi.zip · 09/09/2026
imagine you are killed while your brain is scanned by beings you cannot comprehend to comprehend and you wake up in a virtual purgatory waving swords around
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HHMI @hhmi-science.bsky.social · 09/09/2026
An animal’s body is in constant conversation with itself — & HHMI Janelia scientists have built a way to listen in. WHOLISTIC simultaneously records real-time activity from nearly every cell in a living larval zebrafish, a 1st step in understanding more complex bodies like ours: bit.ly/4xMR1Ww.
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Dr. Or M. Bialik |📚|🔬|🌊|⚒️ @obialik.bsky.social · 03/09/2026
Fish with electrical senses have unique brain cells specifically to process that information. The real trick they pull is separating the electricity they emit from the ones they sense. 🧪 Link: www.nature.com/articles/s41586-026-…
a, Schematic of the interference problem facing the passive electrosensory system of weakly electric fish. Responses of EAFs to prey are masked by responses to the EOD of the fish, which vary depending on factors such as water conductivity. b, Schematic of prediction and cancellation of responses to the EOD. Predictions are based on electric organ corollary discharge signals conveyed by GCs (granule cell basis) and require specific patterns of synaptic connectivity. c, Summary diagram of the synaptic connectivity patterns revealed in the present study. Only connections comprising >10% of the total synapses to a given cell type are shown in the diagram. d, Two example Output cells (blue and red) are shown along with EAF (pink) and GC (magenta) inputs overlaid on a cutout of the EM volume (424 × 427 × 45 µm; all EM connectomic data are from a single biological specimen). The dorsal–ventral and anterior–posterior dimensions of the skin surface are mapped onto the x- and z-dimensions of the volume, respectively. The top inset shows example excitatory GC synapses (magenta fill and star) onto apical dendritic spines of the ON cell (red fill). The magenta fill marks the example GC axon visualized in the volume; the magenta star marks another GC axon. The white star marks an inhibitory molecular layer interneuron synapse onto the dendritic shaft of the same ON cell. The bottom inset shows an example excitatory EAF synapse (pink fill) onto the ON cell basal dendrite (red fill). mol, molecular layer; ggl, ganglion layer; plex, plexiform layer; gran, granular layer. e–h, Example reconstructions of major ELL cell types. Axons are shown in black. ON/OFF, Output (h); MG+/MG−, medium ganglion (f); SG+/SG−, small ganglion (g); Gr+, granular; SP−, small plexiform (h). The inset in f shows an example inhibitory synapse between an MG+ cell (orange) and an OFF cell soma (blue).
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Kevin Mitchell @wiringthebrain.bsky.social · 03/09/2026
"In total, the male CNS connectome contains 166,700 neurons which form 11,710 cell types that can be identified across animals."
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Peter Rupprecht @ptrrupprecht.bsky.social · 18/08/2026
Interesting work from the lab of Na Ji on how axial imaging resolution (3.5- 20 um) affects the extraction of accurate neuronal signals. Very instructive! www.biorxiv.org/content/10.6...
biorxiv.org
High Axial Resolution Is Necessary for Quantitative Two-Photon Calcium Imaging of Neuronal Populations
Two-photon calcium imaging is a standard tool for measuring neuronal population activity in vivo , yet how axial resolution, sensor expression strategy, and analysis pipeline jointly affect data accur...
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Kirsty Wan @micromotility.bsky.social · 17/08/2026
What does a single-celled organism tell us about the origins of complex behaviour? Delighted to see the final version of our paper: Embodied behavioural complexity in a ciliated microorganism out in@natcomms.nature.com (Funded by @erc.europa.eu ERC) doi.org/10.1038/s414... #cilia #protistsonsky
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Zebrafish Rock! @zebrafishrock.bsky.social · 09/08/2026
Light sheet fluorescence microscopy (LSFM) movie of axon branching during #zebrafish development in a neurodegenerative disease gene (KLC4) mutant. Credit to @drlizhaynes.bsky.social. #ZebrafishZunday
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Peter Rupprecht @ptrrupprecht.bsky.social · 07/08/2026
Excited to share our work now in Nature Methods! We wrote this manuscript to help others better analyze and interpret calcium imaging data. As a central aspect, we show why nonlinear behavior of calcium indicators matters in practice. Very happy about this work!
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Kevin Mitchell @wiringthebrain.bsky.social · 05/08/2026
Cortical territories compete in developmental space race doi.org/10.53053/HIF...
doi.org
Cortical territories compete in developmental space race
Sensory and association regions are established through a reciprocal process, according to a new model of cortical development.
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Spencer LaVere Smith @spencerlaveresmith.bsky.social · 25/07/2026
Two-photon calcium imaging. What makes for good data? How can we optimize experiments to get good data? New post labrigger.com/blog/2026/07... and new free web apps from @filip-tomaska.bsky.social (1/8)
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MRC Laboratory of Molecular Biology @mrclmb.ac.uk · 22/07/2026
In brain development, timing is everything. @sebastiancachero.bsky.social @erikadona.bsky.social & @jefferis.bsky.social have mapped 450,000+ cells from developing fly nervous systems to build an expansive atlas, revealing how neurons 'remember' when they were born. shorturl.at/tfI4s #LMBResearch🧪
Heatmap shows temporal expression of 17 transcription factors across neuron birth orders, with a UMAP plot visualising cell identity relationships.
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MwahahahahahadScientist @mads100tist.bsky.social · 21/07/2026
May I suggest Yinan's paper for the "scarce labeled datasets" bottleneck (basically, using tracking to infere future state, then use tracking to map it back to the previous state. We called it weMERFISHfate) www.science.org/doi/10.1126/...
science.org
Whole-embryo spatial transcriptomics at subcellular resolution from gastrulation to organogenesis
Gene expression patterns underlie development, but their systematic detection in whole embryos has remained elusive. We introduce a whole-embryo imaging platform using multiplexed error-robust fluores...
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Ricardo Henriques @henriqueslab.bsky.social · 21/07/2026
🚀🔬 Can cell shape, signal and movement tell us about a cell's future? #DeepLearning studies now predict cell fate from #microscopy. Together w Rita, @mariodelr.bsky.social, @inesmcunha.bsky.social, @juliettegriffie.bsky.social + @guijacquemet.bsky.social👇 www.preprints.org/manuscript/202607.1414/v1
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Alfonso Martinez Arias @amartinezarias.bsky.social · 14/07/2026
In the midst of foundational models of the cell (or should I say pseudocell), seen as an “bag”, this www.cell.com/cell/fulltex... is a great antidote, and one that anyone who knows that a cell is more than its genes, can relate to and understand #RealCellsRUs #NotInTheGenes
cell.com
Establishing a conceptual framework for holistic cell states and state transitions
Technological advances have brought “big data” to the cellular level. Rafelski and Theriot share their vision of defining a cell's state in a holistic way that reflects all molecular, organizational, ...
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FocalPlane @focalplane.bsky.social · 01/07/2026
Bringing together science & art, @manuelthery.bsky.social & the CytoMorpho lab describe their project on how cells adapt their shape to their environment using the Musée d’Orsay as their template! The full performance was presented over two nights at the museum earlier this year. #sciart #cellbio
focalplane.biologists.com
Living Architectures - FocalPlane
Living Architectures - Case studies
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Meike van der Heijden @meikeesther.bsky.social · 17/06/2026
New Preprint: Competitive Olivocerebellar Input Selection Promotes Resilient Circuit Formation -- Join the ride for some developmental neuroscience, stay for some pretty pictures. doi.org/10.64898/202...
doi.org
Competitive Olivocerebellar Input Selection Promotes Resilient Circuit Formation
Many neural circuits undergo competitive input selection, a process in which supernumerary connections compete for innervation territory on target cells. This process can create atypical circuits when...
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Mike Dorrity @mwdorr.bsky.social · 19/06/2026
First pre-print from the lab, a collaborative effort led by Jess Bourn @bournsupremacy.bsky.social, a fantastic PhD in my group. We resolve a key problem in development + evolution: how do we quantify heterochrony and link temporal variation to phenotype? www.biorxiv.org/content/10.6...
biorxiv.org
Quantitative mapping of heterochrony to species-specific phenotypes
The genetic program of animal development is conserved, but its rate of execution varies across species. Heterochrony, shifts in the relative timing of developmental events, generates phenotypic varia...
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eLife @elife.bsky.social · 19/06/2026
A fundamental study of individual variation and contribution of learning to behavioural individuality. Conclusions are supported by compelling, rigorous analysis across a number of experiments in thousands of individuals across genotypes and conditions.
buff.ly
Learning is a fundamental source of individuality
Altmetric provides a collated score for online attention across various platforms and media.See more details
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brunolemaitre.bsky.social @brunolemaitre.bsky.social · 17/06/2026
A short, informal intro to Drosophila genetics (with a French accent 🇫🇷): key concepts & techniques for new lab members. www.epfl.ch/labs/lemaitr...
epfl.ch
Short Introduction to Drosophila_Engl
If you like French accent:A short and informal introduction to Drosophila genetics, covering the basic knowledge and techniques that may be helpful when working with Drosophila. This series of short l...
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Bianca Dumitrascu @bimidu.bsky.social · 12/06/2026
How are two embryos alike? As we collect spatio-temporal microscopy data, we want to quantify variability in the timing of key developmental events. Alignment of multiple recordings is a core engineering challenge here and we suggest a solution; read about it: www.biorxiv.org/content/10.6...
biorxiv.org
A quantitative coordinate system for developmental dynamics
Quantitative comparison of morphogenesis across individuals remains a fundamental challenge, as developing embryos vary in shape, orientation and developmental tempo. Moreover, real-time three-dimensi...
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James Briscoe @jamesbriscoe.bsky.social · 08/06/2026
Our latest: Minimal essential requirements for neural tube self-organisation How does a single cell give rise to a tissue with the right cell types in the right proportions? We deconstruct and rebuild a self-organising tissue from first principles A thread🧵 www.biorxiv.org/content/10.6...
biorxiv.org
Minimal essential requirements for neural tube self-organisation
The reliable generation of diverse cell types in precise proportions is essential for the formation of functional tissues during embryonic development. Three-dimensional organoid models derived from p...
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Wei-Chung Allen Lee @darbly.bsky.social · 09/06/2026
Now published - the #BANC! A full central nervous system (CNS) connectome of a limbed animal at single-synapse resolution, enabling us to follow sensory-motor arcs and understand how the CNS controls the body. rdcu.be/fncjS. #neuroscience. Video by @quorumetrix.bsky.social 1/18
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Collège de France @college-de-france.fr · 08/06/2026
#Science #Biologie  🦇 « L’évolution des mécanismes du développement » 🖥️ Les vidéos du colloque organisé par le Pr @denisduboule.bsky.social, titulaire de la chaire #Évolution du développement et des #génomes, sont disponibles ! 👉 tinyurl.com/39p4h5pn
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bioRxiv Neuroscience @biorxiv-neursci.bsky.social · 07/06/2026
Cortical folding patterns are encoded in the geometry of the unfolded neocortex. www.biorxiv.org/content/10.64898/20…
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Manu Leonetti @manu-leo.bsky.social · 03/06/2026
📣 new preprint multimodal atlas. Imaging + scRNA, 57M cells. 🧬🔬 Cells are complex dynamical systems — but most ways we measure them destroy them. We asked: how does live imaging compare to scRNA-seq, the field’s gold std? The answer surprised us 🧵 www.biorxiv.org/content/10.6...
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Ali Shaib @alishaib.bsky.social · 01/06/2026
Hello #world, meet 1,000× Expansion Microscopy. A small gel would grow to the size of an Olympic swimming pool, while amino-acid-scale distances become visible with ordinary light microscopy. Led by Helena Hu from @eboyden3.bsky.social's lab, in collab with us. Story: www.biorxiv.org/content/10.6...
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Ariel Levine @ariellevine.bsky.social · 29/05/2026
As someone interested in both genetics & neural activity, I appreciate the common challenge of linking causal function to system-level understanding. This excellent review by @jamesbriscoe.bsky.social & Maizels shows a way forward for gene networks in development pubmed.ncbi.nlm.nih.gov/41803457/
pubmed.ncbi.nlm.nih.gov
Gene regulatory networks: from correlative models to causal explanations - PubMed
Gene regulatory networks (GRNs) explain how the genome controls cellular behaviour and tissue morphogenesis, serving to connect molecular mechanism to functional output. Single-cell technologies now p...
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Zebrafish Rock! @zebrafishrock.bsky.social · 25/05/2026
“Using an optical backfilling method relying on photoactivable GFP, we generate a whole-brain map of all neurons sending axons towards the spinal cord. This approach reveals far more SPNs than previously described through conventional strategies.” Bonkers work from @wyartlab.bsky.social 🐟🧠
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Pawel Burkhardt @pawelburkhardt.bsky.social · 23/05/2026
A fossil nervous system meets modern neurobiology. We found that a living comb jelly preserves neural architecture remarkably similar to those inferred from Cambrian fossils over 500 million years old 🤩. www.biorxiv.org/content/10.6...
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Mark Histed @markhisted.org · 23/05/2026
Overall very cool stuff. A reconfigurable instrument that repurposes equipment investment in adaptive optics, SLM, lasers, to do a lot of different things 🧪
Multiple beam path options
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Ali Maximilian Erturk @erturklab.bsky.social · 20/05/2026
Today in Nature, we report MouseMapper: foundation-model AI to map disease perturbations across the entire mouse body cell-by-cell. In obesity, it revealed body-wide inflammation & unexpected facial nerve damage. www.nature.com/articles/s41... More at: x.com/erturklab/st...
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Drew Schreiner @schreinerdrew.bsky.social · 13/05/2026
Where, exactly, does learning happen in the brain? Out today in @nature.com, we identify a synaptic locus of birdsong learning and show that the circuit can be tuned to make birds learn faster - but at a cost. Read on👇 #neuroskyence 🧪 #prattle 💬 #bioacoustics Shareable link: rdcu.be/fiyrS
nature.com
A synaptic locus of song learning - Nature
Combining a computational framework and optogenetic and&nbsp;chemogenetic manipulations within and downstream of the cortico-basal ganglia circuit identifies the specific cortico-basal ganglia synapse...
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Waggoner Lab @labwaggoner.bsky.social · 12/05/2026
RegVelo introduces an end-to-end generative framework that jointly infers gene regulatory networks and developmental dynamic @cellcellpress.bsky.social @saukaspengler.bsky.social @fabiantheis.bsky.social www.cell.com/cell/fulltex...
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Kevin Mitchell @wiringthebrain.bsky.social · 08/05/2026
This is the way.
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John Tuthill @tuthill.bsky.social · 04/05/2026
New preprint: Whole-body 3D kinematics of freely behaving 𝐷𝑟𝑜𝑠𝑜𝑝ℎ𝑖𝑙𝑎 New tech from @blobology.bsky.social & others at @hhmijanelia.bsky.social, which @ispizua.bsky.social and @elliottabe.bsky.social used to gain insight into 3D structure of locomotion & courtship www.biorxiv.org/content/10.6...
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Alexa Sadier @aigverte.bsky.social · 03/05/2026
Notre discipline mise en avant dans Le Monde :) Interview de l'un des pionniers de l'évo-dévo, Denis Duboule, qui parle de l'histoire de l'évo-dévo, de ses découvertes mais aussi des questions qui restent à explorer ! www.lemonde.fr/sciences/art...
lemonde.fr
Denis Duboule, biologiste : « L’évo-dévo tente de comprendre comment les mêmes briques élémentaires peuvent faire des formes de vie très différentes »
Le chercheur raconte, dans un entretien au « Monde », l’histoire et les retombées de l’évo-dévo, ce concept au nom ésotérique qui rapproche les sciences de l’évolution de celles du développement. Et q...
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Alfonso Martinez Arias @amartinezarias.bsky.social · 02/05/2026
A clear/significant finding derived from the single cell (sc) analysis of biological systems has been the realization that phenotypically homogeneous populations are heterogeneous at the level of gene expression (GE). www.cell.com/fulltext/S00... 🧵
cell.com
Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
Gene expression is a fundamentally stochastic process, with randomness in transcription and translation leading to cell-to-cell variations in mRNA and protein levels. This variation appears in organis...
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Michael Orger @daniobrain.bsky.social · 30/04/2026
arxiv.org/abs/2604.23903 (Thanks to @memming.bsky.social for leading the writing of this opinion piece!)
arxiv.org
Integrative neurocybernetic modeling in the era of large-scale neuroscience
Large-scale neuroscience is generating rich datasets across animals, brain areas and behavioral contexts, yet our modeling efforts remains fragmented across isolated experiments. We argue that underst...
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Chris Simms @chrisnsimms.bsky.social · 28/04/2026
“For 30 years, we’ve taught students that the mouse olfactory epithelium is divided into a handful of broad zones, within which receptor choice is essentially random,” @odorjohan.bsky.social told me. Now we know it's not random. My latest for @nature.com 🧪 www.nature.com/articles/d41...
nature.com
First detailed ‘smell maps’ reveal how noses track odours
Detailed maps of smell receptors in the nose overturn textbook models of olfactory receptor organization in mice.
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