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Subcellular Processes

Assembly and control of subcellular structures (channels, organelles, cytoskeletons, capsules, etc.); molecular motors, transport, subcellular localization; mitosis and meiosis

Papers reviewed in the last 7 days lead, then the papers readers actually read. Ranking is not a quality score.

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Estrogen shifts calcium levels but leaves oscillation patterns intact

A new smooth-muscle model shows ERα modulation only retunes Ca2+ handling; bifurcation structure stays the same across 7–700 pg/mL…

· “The role of estrogen receptor alpha on calcium transport during smooth muscle contractions”

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Figure from the paper

Crowding entropy initiates endocytosis

Kinetic phase diagram from the Onsager principle explains how crowding gets viruses to the membrane and why HIV-1 sits at the sweet spot.

· “Entropy-Driven Initiation and Cellular Uptake Mediated by Viscoelastic Cytoskeleton: A Kinetic Phase Diagram from Onsager Variational Principle”

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Figure from the paper

Clathrin coats develop stiffness and memory from growth conditions

Simulations reveal how emergent properties create two gates that decide flat, stalled or closed fates and match experiments without fitting.

· “Pathway variability, coat stiffening and mechanical adaptation during clathrin-mediated endocytosis”

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Actin cross-linking confines basal bodies for uniform cilia pattern

Progressive cross-linking restricts basal body motion from diffusive to confined, enabling even spacing needed for aligned motile cilia and

· “Actin cross-linking organizes basal body patterning through anomalous diffusion transitions”

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Robust chemotaxis beyond sensing limits: signal, noise, and strategy

Bacterial chemotaxis has long been viewed as operating near the physical limits of sensing, as originally articulated by Berg and Purcell. Recent information-theoretic analyses challenge this view, suggesting that Escherichia coli uses only a small fraction of the information available in ligand arrival statistics to bias its motion. How should such low information efficiency be interpreted at the level of behavior? Here, I argue that chemotactic performance is shaped not only by information transmission and noise, but by the strategy of movement itself. Using simple scaling arguments and minimal models, I show how run-and-tumble chemotaxis can remain robust to noise through symmetry and temporal averaging, even when internal information processing is inefficient. Comparing bacterial and eukaryotic chemotaxis highlights how different sensing strategies convert physical limits into observable behavior. These considerations suggest that low information efficiency need not imply poor performance, but may instead reflect an evolved balance between robustness, simplicity, and function.

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Figure from the paper

Local monomer depletion enables actin network coexistence

Negative feedback from shared pool competition leads to steady states or selection without extra regulators.

· “A theory for coexistence and selection of branched actin networks in a shared and finite pool of monomers”

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Longer mRNAs are hit hardest by ribosome-stalling antibiotics

A ribosome-traffic model reproduces chloramphenicol's short-vs-long expression gap and points to initiation rate as a shield.

· “Paused in translation: A model for the transcript length-dependent impact of ribosome-targeting antibiotics”

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Figure from the paper

New therapies aim to clear NOTCH3 clumps and repair the faulty gene

A review of immunotherapy, gene editing, and cell therapy for CADASIL maps several paths against this inherited stroke disorder.

· “Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL): Immunotherapy and Cell Therapy approaches”

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Flagellar switch steepness grows with stator count

A torque tug-of-war replaces conformational spread and buys faster, equally sharp switching at the cost of dissipation.

· “Ultrasensitivity without conformational spread: A mechanical origin for non-equilibrium cooperativity in the bacterial flagellar motor”

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Figure from the paper

Four-state Piezo1 model explains lost mechanical capture in pacing

Voltage dependence of Piezo1 may explain why mechanical pacing succeeds, then stops, at high rates.

· “A Simple Voltage-Modulated Markov Chain Model for the Piezo1 Ion Channel to Investigate Electromechanical Pacing”

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Figure from the paper

Active forces keep the crowded cell interior fluid and organized

Review argues motor-driven diffusion, spatial stiffness variation, and viscoelasticity shape organelle placement and reaction rates.

· “Active Intracellular Mechanics: A Key to Cellular Function and Organization”

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Network splits one stained image into two organelle channels

One fluorescence channel plus AEMS-Net replaces two-channel sequential acquisition, halving staining and light exposure for live cells.

· “Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy”

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