ArticleCell2013
Decoding information in cell shape.
Article in Cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.
What it found
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Who cites it
101 citing papers in PubMed, 195 citations in OpenAlex.
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- Prognostic value of nuclear features based on tumor-associated collagen signatures in breast cancer.NPJ breast cancer · 2025Article
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- Cell identity revealed by precise cell cycle state mapping links data modalities.bioRxiv : the preprint server for biology · 2024Article
- Insights gained from computational modeling of YAP/TAZ signaling for cellular mechanotransduction.NPJ systems biology and applications · 2024Review
- A bypass flow model to study endothelial cell mechanotransduction across diverse flow environments.Materials today. Bio · 2024Article
- Direct GPCR-EGFR interaction enables synergistic membrane-to-nucleus information transfer.Cellular and molecular life sciences : CMLS · 2024Article
- Novel Kraft Softwood Lignin-Derived Carbon Quantum Dots: Synthesis, Characterization, and In Vitro Cytocompatibility.Nanomaterials (Basel, Switzerland) · 2024Article
- Hierarchical Surface Pattern on Ni-Free Ti-Based Bulk Metallic Glass to Control Cell Interactions.Small (Weinheim an der Bergstrasse, Germany) · 2024Article
- "Patchiness" in mechanical stiffness across a tumor as an early-stage marker for malignancy.BMC ecology and evolution · 2024Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Shape is an indicator of cell health. But how is the information in shape decoded? We hypothesize that decoding occurs by modulation of signaling through changes in plasma membrane curvature. Using analytical approaches and numerical simulations, we studied how elongation of cell shape affects plasma membrane signaling. Mathematical analyses reveal transient accumulation of activated receptors at regions of higher curvature with increasing cell eccentricity. This distribution of activated receptors is periodic, following the Mathieu function, and it arises from local imbalance between reaction and diffusion of soluble ligands and receptors in the plane of the membrane. Numerical simulations show that transient microdomains of activated receptors amplify signals to downstream protein kinases. For growth factor receptor pathways, increasing cell eccentricity elevates the levels of activated cytoplasmic Src and nuclear MAPK1,2. These predictions were experimentally validated by changing cellular eccentricity, showing that shape is a locus of retrievable information storage in cells.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.