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Modeling non-genetic information dynamics in cells using reservoir computing

  • Dipesh Niraula
  • , Issam El Naqa
  • , Jack Adam Tuszynski
  • , Robert A. Gatenby
  • Moffitt Cancer Center
  • University of Alberta
  • Polytechnic University of Turin

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

Virtually all cells use energy-driven, ion-specific membrane pumps to maintain large transmembrane gradients of Na+, K+, Cl−, Mg++, and Ca++, but the corresponding evolutionary benefit remains unclear. We propose that these gradients enable a dynamic and versatile biological system that acquires, analyzes, and responds to environmental information. We hypothesize that environmental signals are transmitted into the cell by ion fluxes along pre-existing gradients through gated ion-specific membrane channels. The consequent changes in cytoplasmic ion concentration can generate a local response or orchestrate global/regional cellular dynamics through wire-like ion fluxes along pre-existing and self-assembling cytoskeleton to engage the endoplasmic reticulum, mitochondria, and nucleus.

Original languageEnglish
Article number109614
JournaliScience
Volume27
Issue number4
DOIs
Publication statusPublished - 19 Apr 2024

Keywords

  • Biological sciences
  • Computer science
  • Health sciences

ASJC Scopus subject areas

  • Multidisciplinary

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