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Purushottam Dixit

@pdixit.bsky.social
211 followers 127 following 76 posts

Assistant Professor, Biomedical Engineering, Yale University. Computational biologist. Website: dixitlab.github.io

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Purushottam Dixit @pdixit.bsky.social · 7h
🧵 Our new paper is out in Physical Review Research! Can destroying a signal make it easier to sense Surprisingly, yes! We show that ligand endocytosis can reshape extracellular chemical gradients and enhance directional information.
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Purushottam Dixit @pdixit.bsky.social · 21/09/2026
Our paper on low dimensional max ent dynamics is out in Phys Rev E. We introduce Edwin. It compresses high-dimensional dynamics into a few latent variables and discovers symbolic equations for those variables: journals.aps.org/pre/abstract...
journals.aps.org
Discovering interpretable low-dimensional dynamics using maximum entropy
Models (i.e., governing equations) are fundamental to science and engineering. Advances in data acquisition now make it possible to extract interpretable, low-dimensional descriptions from high-dimens...
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Reposted by Purushottam Dixit
APS journals @apsjournals.aps.org · 17/09/2026
New in PRX Life: microbial ecosystems are low-dimensional. After studying about 200 gut microbiome datasets, the authors found that niche dimensionality was below predicted value, upending previous models. Read the paper: go.aps.org/46qJqBa
Figure with three small scatter plots - a, b and c. Each of the three plots feature the niche dimensionality metric ηD on the X axis, along with a red dashed line and black dots. Plot A has “Environmental Dimensionality” on the Y axis and a positive correlation between the two variables. A label reads: R: 0.57 and P-value: 4.8e-3. Plot B has “Mean Metabolic Overlap” on the Y axis and shows a negative correlation between the two variables. The label reads R: -0.48 and P-value: 3.1e-11. Plot C has “Shannon Entropy” on the Y axis and shows a positive correlation between the two variables. The label reads R: 0.73 and P-value 1.89e-29.
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Purushottam Dixit @pdixit.bsky.social · 15/09/2026
1/ Our new paper is out in PRX Life. Physicists' often treat microbiomes as disordered systems with coexistence in very high-dimensional niche spaces. We asked whether empirical data supports this picture, and found the data point somewhere else: journals.aps.org/prxlife/abst...
journals.aps.org
Low-Dimensional Coexistence in Complex Microbial Ecosystems
Analysis of nearly 200 human gut microbiome datasets shows that microbial coexistence is governed by a few effective ecological dimensions, rather than the high-dimensional niches assumed by prevailing theory.
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Purushottam Dixit @pdixit.bsky.social · 31/08/2026
1/ New paper out! Aging has been described as a loss of "information", but nobody could quantify it. We built a stat phys model for it. We found taht communication fidelity in gene regulation drops with age across multiple tissues, making it a hallmark of aging! 🧵: www.cell.com/cell-reports...
cell.com
An information-theoretic framework for transcriptional regulation reveals declining communication fidelity in aging
Emison et al. develop an information-theoretic framework that decomposes communication fidelity in gene regulatory networks. Applying this framework to single-cell RNA-seq data across aging tissues, they find that communication fidelity declines, driven primarily by shifting input distributions rather than increased channel noise.
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Purushottam Dixit @pdixit.bsky.social · 24/07/2026
These were the experiments we were trying to explain: www.cell.com/cell-reports...
cell.com
Low-affinity ligands of the epidermal growth factor receptor are long-range signal transmitters in collective cell migration of epithelial cells
Deguchi et al. find that low-affinity EGFR ligands propagate faster and farther than high-affinity ligands in epithelial cells. They demonstrate that EREG, a low-affinity ligand, contributes to skin w...
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Purushottam Dixit @pdixit.bsky.social · 24/07/2026
Traditional models of paracrine gradients are constrained by a tradeoff driven by ligand-receptor affinity. High activity implies shorter spatial range and vice versa. Strong binders lead to higher signaling activity but also trigger receptor and ligand degradation and therefore shorter range.
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Purushottam Dixit @pdixit.bsky.social · 31/03/2026
I will be talking about some recent work on using niche theory to model host associated microbiomes in a couple of hours!
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Reposted by Purushottam Dixit
International Initiative for Theoretical Ecology @iite-ecotheory.bsky.social · 30/03/2026
📣Tomorrow! 📣Purushottam Dixit (Yale Engineering) will present: 'Niche dimensionality drives microbial community structure'
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Purushottam Dixit @pdixit.bsky.social · 06/01/2026
How do cells know which way to move in a chemical gradient? 🧭 New work by graduate student Andrew Goetz proposes that receptors can compute direction. This new mechanism for directional sensing was published in PNAS late last year: www.pnas.org/doi/10.1073/...
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Purushottam Dixit @pdixit.bsky.social · 04/11/2025
What if aging isn’t just cellular damage, but a lossy transmission of information? We used single-cell data and physics-based models to show that as cells age, the flow of transcriptional information collapses. Here’s what that means. 👇
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Purushottam Dixit @pdixit.bsky.social · 30/07/2025
Just out: new preprint (with @ralitsamadsen.bsky.social) is now #Reviewed at @eLife! "Non-equilibrium strategies for ligand specificity in signaling networks". We show how cells use non-equilibrium strategies to discriminate between ligands in surprising ways 🔗 elifesciences.org/reviewed-pre...
elifesciences.org
Non-equilibrium strategies for ligand specificity in signaling networks
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Purushottam Dixit @pdixit.bsky.social · 23/07/2025
We have a funding for postdoctoral fellowship that needs to be filled very soon. We are exploring new directions (1) at the interface of non-equilibrium computations and physical learning and (2) in building ecologically motivated machine learning models for microbiomes. Please spread the word!
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Purushottam Dixit @pdixit.bsky.social · 26/02/2025
Just learnt that our collaborative grant proposal on identifying master regulators of T cell metabolism in Lupus will not be reviewed as the study section was indefinitely postponed, along with many other grants that are vital to biomedical research.
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Purushottam Dixit @pdixit.bsky.social · 06/02/2025
Has anybody looked at approximate Bayesian computation (ABC) using stat mech? The formulation used in rejection ABC: rho(S(D),S(D')) < eps (rho is discrepancy function, S is a summary stat, D is data, D' is simulated data) looks an awful lot like the microcanonical ensemble with an energy = S(D).
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Purushottam Dixit @pdixit.bsky.social · 10/12/2024
Our work on computational design of microbiomes with desired host properties using mechanistic models is now out in mSystems: journals.asm.org/doi/10.1128/...
journals.asm.org
Designing host-associated microbiomes using the consumer/resource model | mSystems
Generative models are extremely popular in modern biology. They have been used to model the variation of protein sequences, entire genomes, and RNA sequencing profiles. Importantly, generative models ...
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Purushottam Dixit @pdixit.bsky.social · 25/11/2024
Happy to present our second paper on understanding ligand sensing using non-equilibrium reaction networks. Here, we look at some counterintuitive results on how eukaryotic cells sense extracellular spatial gradients in ligands (e.g. growth factors): www.biorxiv.org/content/10.1...
biorxiv.org
Receptor polarization through localized activity and global sensitization
Eukaryotic cells chemosense concentration gradients of extracellular ligands using membrane-bound receptors that polarize their activity. Receptors from several chemosensing families are preferentiall...
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Purushottam Dixit @pdixit.bsky.social · 18/11/2024
As my first post here, I am really excited to share a new manuscript with @ralitsamadsen.bsky.social on this platform. We looked how non-equilibrium thermodynamics helps ligand discrimination in signaling networks: t.co/ZA6NteUmaS
t.co
https://biorxiv.org/cgi/content/short/2024.10.01.615884v1
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