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Passive Noise Filtering by Cellular Compartmentalization.
Stoeger, Thomas; Battich, Nico; Pelkmans, Lucas.
Affiliation
  • Stoeger T; Faculty of Sciences, Institute of Molecular Life Sciences, University of Zurich, 8006 Zurich, Switzerland; Systems Biology PhD program, Life Science Zurich Graduate School, ETH Zurich and University of Zurich, 8006 Zurich, Switzerland.
  • Battich N; Faculty of Sciences, Institute of Molecular Life Sciences, University of Zurich, 8006 Zurich, Switzerland; Systems Biology PhD program, Life Science Zurich Graduate School, ETH Zurich and University of Zurich, 8006 Zurich, Switzerland.
  • Pelkmans L; Faculty of Sciences, Institute of Molecular Life Sciences, University of Zurich, 8006 Zurich, Switzerland. Electronic address: lucas.pelkmans@imls.uzh.ch.
Cell ; 164(6): 1151-1161, 2016 Mar 10.
Article de En | MEDLINE | ID: mdl-26967282
Chemical reactions contain an inherent element of randomness, which presents itself as noise that interferes with cellular processes and communication. Here we discuss the ability of the spatial partitioning of molecular systems to filter and, thus, remove noise, while preserving regulated and predictable differences between single living cells. In contrast to active noise filtering by network motifs, cellular compartmentalization is highly effective and easily scales to numerous systems without requiring a substantial usage of cellular energy. We will use passive noise filtering by the eukaryotic cell nucleus as an example of how this increases predictability of transcriptional output, with possible implications for the evolution of complex multicellularity.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Phénomènes physiologiques cellulaires / Processus stochastiques / Membranes intracellulaires Limites: Animals / Humans Langue: En Journal: Cell Année: 2016 Type de document: Article Pays d'affiliation: Suisse Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Phénomènes physiologiques cellulaires / Processus stochastiques / Membranes intracellulaires Limites: Animals / Humans Langue: En Journal: Cell Année: 2016 Type de document: Article Pays d'affiliation: Suisse Pays de publication: États-Unis d'Amérique