bioRxivSystems BiologyPreprint
Intercellular signaling network underlies biological time across multiple temporal scales
Joshua MillsteiniD, Keith C. SummaiD, Xia YangiD, Jun ZhuiD, Huaiyu MiiD, Martha Hotz VitaternaiD, Fred William TurekiD, Bin ZhangiD
Abstract
MotivationCellular, physiological and molecular processes must be organized and regulated across multiple time domains throughout the lifespan of an organism. The technological revolution in molecular biology has led to the identification of numerous genes implicated in the regulation of diverse temporal biological processes. However, it is natural to question whether there is an underlying regulatory network governing multiple timescales simultaneously.\n\nResultsUsing queries of relevant databases and literature searches, a single dense multiscale temporal regulatory network was identified involving core sets of genes that regulate circadian, cell cycle, and aging processes. The network was highly enriched for genes involved in signal transduction (P = 1.82e-82), with p53 and its regulators such as p300 and CREB binding protein forming key hubs, but also for genes involved in metabolism (P = 6.07e-127) and cellular response to stress (P = 1.56e-93). These results suggest an intertwined molecular signaling network that affects biological time across multiple temporal scales in response to environmental stimuli and available resources.\n\nContactjoshua.millstein@usc.edu\n\nSupplementary informationSupplementary data are available online.
- Citations
- 0
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The design principles of biochemical timers: circuits that discriminate between transient and sustained stimulation
Jaline Gerardin, Nishith R. Reddy, Wendell A. Lim·Cell SystemsPeer-reviewed·Sep 1, 2019
- Response-Time Behaviors Of Intercellular Communication Network Motifs
K. Thurley, L. F. Wu, S. J. Altschuler·bioRxiv·Aug 23, 2017
- Inferring cell cycle phases from a partially temporal network of protein interactions
Maxime Lucas, Arthur Morris, … Alain Barrat·Cell Reports MethodsPeer-reviewed·Feb 1, 2023
- A trade-off in controlling upstream and downstream noise in signaling networks
Ka Kit Kong, Chunxiong Luo, Feng Liu·bioRxiv·Aug 29, 2023
- Dynamics Robustness of Cascading Systems
Jonathan Young, Testsuhiro S Hatakeyama, Kunihiko Kaneko·bioRxiv·Aug 25, 2016
- Stochastic dynamics of genetic broadcasting networks
Davit Potoyan, Peter Wolynes·Physical Review EPeer-reviewed·Nov 3, 2017