Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–13 of 13 results
Advanced filters: Author: Gasper Tkacik Clear advanced filters

  • The study shows that scale-specific oscillations and scale-free neuronal avalanches in resting brains co-exist in the simplest model of an adaptive neural network close to a non-equilibrium critical point at the onset of self-sustained oscillations.

    • Fabrizio Lombardi
    • Selver Pepić
    • Daniele De Martino
    ResearchOpen Access
    Nature Computational Science
    Volume: 3, P: 254-263

  • Cooperative disease defense is part of group-level collective behavior. Here, the authors explore individual decisions, finding that garden ants increase grooming highly infectious individuals when they perceive a high pathogen load and suppress grooming after having been groomed by nestmates.

    • Barbara Casillas-Pérez
    • Katarína Boďová
    • Sylvia Cremer
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • Individual bacteria interact with each other and their environment to produce population-level patterns of gene expression. Here the authors use an automated platform combined with optogenetic feedback to manipulate population behaviors through dynamic control of individual cells.

    • Remy Chait
    • Jakob Ruess
    • Călin C. Guet
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-11

  • Antibiotics targeting protein translation interact in hard-to-predict ways. Here, Kavčič et al. interpret these interactions in terms of translation bottlenecks, the kinetics of drug uptake and target binding, bacterial growth laws, and a model of queued traffic progression.

    • Bor Kavčič
    • Gašper Tkačik
    • Tobias Bollenbach
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-14

  • Limited specificity of transcription factor-DNA interactions leads to crosstalk in gene regulation. Here the authors consider global crosstalk in regulatory networks of growing size and complexity, and show that it imposes constraints on gene regulation and on the evolution of regulatory networks.

    • Tamar Friedlander
    • Roshan Prizak
    • Gašper Tkačik
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-12

  • Single cell growth rate variability has been difficult to understand. Here, the authors apply a generalization of flux balance analysis to single cells based on maximum entropy modeling, and find that growth rate fluctuations of E. coli reflect metabolic flux variability and growth sub-optimality, in turn highlighting information costs for growth optimization.

    • Daniele De Martino
    • Anna MC Andersson
    • Gašper Tkačik
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-9

  • Gene regulatory networks evolve through changes in regulatory connections. Combining experiments and thermodynamic modelling, the authors show that intrinsic binding characteristics of repressors are important determinants for their evolutionary potential.

    • Claudia Igler
    • Mato Lagator
    • Călin C. Guet
    Research
    Nature Ecology & Evolution
    Volume: 2, P: 1633-1643

  • Gene networks evolve by transcription factor (TF) duplication and divergence of their binding site specificities, but little is known about the global constraints at play. Here, the authors study the coevolution of TFs and binding sites using a biophysical-evolutionary approach, and show that the emerging complex fitness landscapes strongly influence regulatory evolution with a role for crosstalk.

    • Tamar Friedlander
    • Roshan Prizak
    • Gašper Tkačik
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-11

  • Retinal ganglion cell subtypes are traditionally thought to encode a single visual feature across the visual field to form a feature map. Here the authors show that fast OFF ganglion cells in fact respond to two visual features, either object position or speed, depending on the stimulus location.

    • Stéphane Deny
    • Ulisse Ferrari
    • Olivier Marre
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-17