XDecoding Information in Cell Shape

Padmini Rangamani, Azi Lipshtat, Evren U. Azeloglu, Rhodora Cristina Calizo, Mufeng Hu, Saba Ghassemi, James Hone, Suzanne Scarlata, Susana R. Neves, Ravi Iyengar

Research output: Contribution to journalArticlepeer-review

112 Scopus citations

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.

Original languageEnglish
Pages (from-to)1356
Number of pages1
JournalCell
Volume154
Issue number6
DOIs
StatePublished - 12 Sep 2013

Fingerprint

Dive into the research topics of 'XDecoding Information in Cell Shape'. Together they form a unique fingerprint.

Cite this