Paper List
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An AI Implementation Science Study to Improve Trustworthy Data in a Large Healthcare System
This paper addresses the critical gap between theoretical AI research and real-world clinical implementation by providing a practical framework for as...
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The BEAT-CF Causal Model: A model for guiding the design of trials and observational analyses of cystic fibrosis exacerbations
This paper addresses the critical gap in cystic fibrosis exacerbation management by providing a formal causal framework that integrates expert knowled...
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Hierarchical Molecular Language Models (HMLMs)
This paper addresses the core challenge of accurately modeling context-dependent signaling, pathway cross-talk, and temporal dynamics across multiple ...
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Stability analysis of action potential generation using Markov models of voltage‑gated sodium channel isoforms
This work addresses the challenge of systematically characterizing how the high-dimensional parameter space of Markov models for different sodium chan...
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Approximate Bayesian Inference on Mechanisms of Network Growth and Evolution
This paper addresses the core challenge of inferring the relative contributions of multiple, simultaneous generative mechanisms in network formation w...
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EnzyCLIP: A Cross-Attention Dual Encoder Framework with Contrastive Learning for Predicting Enzyme Kinetic Constants
This paper addresses the core challenge of jointly predicting enzyme kinetic parameters (Kcat and Km) by modeling dynamic enzyme-substrate interaction...
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Tissue stress measurements with Bayesian Inversion Stress Microscopy
This paper addresses the core challenge of measuring absolute, tissue-scale mechanical stress without making assumptions about tissue rheology, which ...
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DeepFRI Demystified: Interpretability vs. Accuracy in AI Protein Function Prediction
This study addresses the critical gap between high predictive accuracy and biological interpretability in DeepFRI, revealing that the model often prio...
Modulation of DNA rheology by a transcription factor that forms aging microgels
University of Edinburgh | University of Glasgow | MRC Human Genetics Unit | WPI-SKCM2, Hiroshima University
30秒速读
IN SHORT: This work addresses the fundamental question of how the transcription factor NANOG, essential for embryonic stem cell pluripotency, physically regulates gene expression beyond simple DNA binding, by revealing its ability to form self-limiting, aging microgels that modulate DNA rheology.
核心创新
- Methodology First demonstration that a transcription factor (NANOG) forms self-limiting micelle-like clusters (~22-25 monomers) with exposed DNA-binding domains, acting as transient cross-linkers for DNA molecules.
- Biology Discovery of an aging microgel formation by NANOG, where viscoelasticity increases over time (10,000-fold viscosity increase over 12h), driven by its intrinsically disordered tryptophan-rich (WR) domain.
- Theory Proposes a novel 'rheological gene regulation' paradigm: NANOG may regulate gene expression not by large-scale chromatin reorganization, but by stabilizing and restricting the *dynamics* of key regulatory sites via aging condensates, potentially ingraining mechanical memory.
主要结论
- Wild-type NANOG forms macroscopic aging gels (10,000-fold viscosity increase over 12h at 37°C) and self-limiting micelle-like clusters (~22-25 proteins), while the oligomerization-deficient mutant (W10A) does not.
- Both clustering (via WR domain) and DNA binding (via homeodomain) are required for NANOG to act as an effective DNA cross-linker, significantly enhancing the viscoelasticity of entangled DNA solutions (observed in WT but not in W10A or DNA-binding-deficient N51A mutants).
- Aging (increasing viscoelasticity over time) occurs in NANOG-DNA solutions for both WT and the DNA-binding-deficient N51A mutant, indicating that oligomerization alone is sufficient to drive this slow restructuring toward gel-like states.
摘要: Proteins and nucleic acids form non-Newtonian liquids with complex rheological properties that contribute to their function in vivo. Here we investigate the rheology of the transcription factor NANOG, a key protein in sustaining embryonic stem cell self-renewal. We discover that at high concentrations NANOG forms macroscopic aging gels through its intrinsically disordered tryptophan-rich domain. By combining molecular dynamics simulations, mass photometry and Cryo-EM, we also discover that NANOG forms self-limiting micelle-like clusters which expose their DNA-binding domains. In dense solutions of DNA, NANOG micelle-like structures stabilize inter-molecular entanglements and crosslinks, forming microgel-like structures. Our findings suggest that NANOG may contribute to regulate gene expression in a unconventional way: by restricting and stabilizing genome dynamics at key transcriptional sites through the formation of an aging microgel-like structure, potentially enabling mechanical memory in the gene network.