The Living Cell: A Complex Autodynamic Multi‐oscillator System?

Gilbert, D.A.; Lloyd, David

doi:10.1006/cbir.2000.0571

Cited by 24 publications

(16 citation statements)

References 35 publications

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“…The fundamental data and concept of an organism as a multi-oscillator Fig. system have been recently published (Gilbert and Lloyd, 2000;Lloyd, 2005). Effect of H7, i.e.…”

Section: Discussionmentioning

confidence: 99%

Involvement of protein kinases in self‐organization of the rhythm of protein synthesis by direct cell—cell communication

Brodsky

Zvezdina

Fateeva

et al. 2007

Cell Biology International

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Primary cultures of rat hepatocytes grown on slides were studied in serum-free medium. Ultradian protein synthesis rhythm was used as a marker of synchronization of individual oscillations, resulting in the formation of a common rhythm of the cell population, i.e. cell-cell self-organization. Dense synchronous and sparse non-synchronous cultures were used to estimate effect of protein kinase activity on the kinetics of protein synthesis. Treatment of dense cultures with the inhibitors H7 (40 microM) or H8 (25 microM) resulted in a loss of the protein synthesis rhythm, a suppression of the cell-cell self-organization. Stimulation of protein kinase activity with either 0.5 or 1.0 microM phorbol 12-miristate-13-acetate (PMA) or 10 microM forskolin caused the appearance of the synthetic rhythm in non-synchronous sparse cultures under otherwise normal conditions. Inhibition of protein kinase activity with H7 resulted in signal factors, such as gangliosides and phenylephrine, failing to initiate this rhythm in sparse cultures. Activation of protein kinase activity with PMA shifted the phase pattern of the protein synthesis rhythm. Thus, according to our previous and the new data, protein kinase activity and consequently protein phosphorylation is the crucial step of sequence of processes resulting in synchronization during self-organization of cells in producing a common rhythm in the population. The general pathway can be presented as follows: signaling of gangliosides or other calcium agonists-->efflux of calcium ion from intracellular stores, with elevation of calcium concentration in the cytoplasm-->activation of protein kinases-->protein phosphorylation-->synchronization of individual oscillations in protein synthesis rates-->induction of a common rhythm throughout this population. The data have been discussed concerning similarity of the direct cell-cell communication and the cell self-organization in cultures and in organism.

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“…The fundamental data and concept of an organism as a multi-oscillator Fig. system have been recently published (Gilbert and Lloyd, 2000;Lloyd, 2005). Effect of H7, i.e.…”

Section: Discussionmentioning

confidence: 99%

Involvement of protein kinases in self‐organization of the rhythm of protein synthesis by direct cell—cell communication

Brodsky

Zvezdina

Fateeva

et al. 2007

Cell Biology International

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“…Indeed, viewing the system as a whole, it is not straightforward to understand which possible set of components forms the major motor for the initial oscillatory effect. In non-oscillatory phases, some cells already possess native oscillators (Gilbert and Lloyd 2000), but these remain to be fully determined, since they are probably being ruled by noise or chaotic behaviour. It is crucial to know which factors are involved in maintaining the synchronised behaviour, which would give some insights about its onset and transitions between dynamical regimes.…”

Section: Conclusion and Future Prospectsmentioning

confidence: 99%

The Pollen Tube Oscillator: Integrating Biophysics and Biochemistry into Cellular Growth and Morphogenesis

Portes¹,

Damineli²,

Moreno³

et al. 2015

Rhythms in Plants

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Individual cells generate ultradian rhythms in different systems and levels of organisation. A cell biology approach is necessary to better understand the intrinsic nature of these biological oscillators and their evolutionary significance. In this respect, pollen tubes provide a useful working model because, unlike other cells, their growth can be conveniently followed in vitro and it is known to involve structural, biochemical as well as biophysical oscillations. As commonly seen in complex systems, these oscillations involve almost all cellular components but, in this case, their causal relations have not yet been fully identified. Most studies consider growth as a reference to establish the relation with other oscillating variables, interpreted to be a cause if its peak occurs before and as a consequence if it occurs after that of the variable in question. Today, it is known that this group of oscillating variables include at least ion fluxes and internal free concentrations (calcium, chloride, protons and potassium), the cytoskeleton, membrane trafficking and cell wall synthesis. Despite the progress made in this domain, however, a central core-controlling mechanism is still missing, and even less is known about how all components interact to produce the macroscopic outcome, i.e. structurally and temporally organised apical growth. In other words, we can see the arms of the clock and many underlying moving parts but still miss which work as pendulum,

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“…The development of the intestine is regulated by a large number of factors, including nutrients, the micro flora, the epithelium, innate and adaptive immunity (Pacha, 2000; Caicedo et al, 2005; Donovan, 2006; Commare et al, 2007; Ojeda et al, 2008), which constitute the intestinal ecosystem. It is known that the adaptive change involved in enteric development is highly conserved and is a complex process (Gilbert and Lloyd, 2000). The underlying molecular mechanism of intestinal development is associated with genes and the corresponding proteins that participate in this change, and with the interactions and signal transduction processes of the gene and/or protein networks.…”

Section: Introductionmentioning

confidence: 99%

“…However, to understand the complex interactions of genes and proteins by studying them in an individual and static manner. The study of gene regulatory networks makes it feasible to analyze the interactions of genes in an integral and dynamic way (Tomita et al, 1999; Gilbert and Lloyd, 2000). Gene regulatory networks have attracted considerable research interest owing to the rapid accumulation of genomic information (Kitano, 202).…”

Section: Introductionmentioning

confidence: 99%

Paradigm of Time-sequence Development of the Intestine of Suckling Piglets with Microarray

Sun

Zhang

et al. 2012

Asian Australas. J. Anim. Sci

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The interaction of the genes involved in intestinal development is the molecular basis of the regulatory mechanisms of intestinal development. The objective of this study was to identify the significant pathways and key genes that regulate intestinal development in Landrace piglets, and elucidate their rules of operation. The differential expression of genes related to intestinal development during suckling time was investigated using a porcine genome array. Time sequence profiles were analyzed for the differentially expressed genes to obtain significant expression profiles. Subsequently, the most significant profiles were assayed using Gene Ontology categories, pathway analysis, network analysis, and analysis of gene co-expression to unveil the main biological processes, the significant pathways, and the effective genes, respectively. In addition, quantitative real-time PCR was carried out to verify the reliability of the results of the analysis of the array. The results showed that more than 8000 differential expression transcripts were identified using microarray technology. Among the 30 significant obtained model profiles, profiles 66 and 13 were the most significant. Analysis of profiles 66 and 13 indicated that they were mainly involved in immunity, metabolism, and cell division or proliferation. Among the most effective genes in these two profiles, CN161469, which is similar to methylcrotonoyl-Coenzyme A carboxylase 2 (beta), and U89949.1, which encodes a folate binding protein, had a crucial influence on the co-expression network.

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The Living Cell: A Complex Autodynamic Multi‐oscillator System?

Cited by 24 publications

References 35 publications

Involvement of protein kinases in self‐organization of the rhythm of protein synthesis by direct cell—cell communication

Involvement of protein kinases in self‐organization of the rhythm of protein synthesis by direct cell—cell communication

The Pollen Tube Oscillator: Integrating Biophysics and Biochemistry into Cellular Growth and Morphogenesis

Paradigm of Time-sequence Development of the Intestine of Suckling Piglets with Microarray

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