Integration of intracellular signaling: Biological analogues of wires, processors and memories organized by a centrosome 3D reference system

Barvitenko, Nadezhda; Lawen, Alfons; Aslam, Muhammad; Pantaleo, Antonella; Saldanha, Carlota; Skverchinskaya, Elisaveta; Regolini, Marco; Tuszyński, Jack A.

doi:10.1016/j.biosystems.2018.08.007

Cited by 16 publications

(14 citation statements)

References 189 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Single cells are composite agents that exhibit extremely rich patterning and behaviors and can be divided into even smaller independent units (such as cytoplast fragments with autonomous activity) because of their dynamic cytoskeletal and protein network subsystems (Novák and Bentrup, 1972;Albrecht-Buehler, 1985;Ford, 2017;Siccardi and Adamatzky, 2017;Barvitenko et al, 2018;Graham et al, 2018). These capacities of cells presage their swarm behavior as metazoan organisms (Gregg, 1959).…”

Section: -Gautama Buddhamentioning

confidence: 99%

“…Many examples of memory, anticipation, contextdependent decision-making, and learning are exhibited by organisms from yeast and bacteria to plants and somatic cells [reviewed in (Lyon, 2006(Lyon, , 2015Baluška and Levin, 2016)]. This is even true of subcellular-level components, e.g., generegulatory networks can execute similar learning and computational properties as neural networks, as can cytoskeletal networks, cell signaling pathways, reaction-diffusion chemistry, and metabolic networks (Watson et al, 2010;Szabó et al, 2012;Stockwell et al, 2015;Prentice-Mott et al, 2016;Dent, 2017;Stovold and O'Keefe, 2017;Barvitenko et al, 2018;Gabalda-Sagarra et al, 2018;Bulcha et al, 2019). Single cells are very good at managing their morphology, behavior, and physiology as needed for survival, altering their motility, and metabolism in response to, and proactively in, changing environmental conditions.…”

Section: -Gautama Buddhamentioning

confidence: 99%

See 1 more Smart Citation

The Computational Boundary of a “Self”: Developmental Bioelectricity Drives Multicellularity and Scale-Free Cognition

2019

View full text Add to dashboard Cite

All epistemic agents physically consist of parts that must somehow comprise an integrated cognitive self. Biological individuals consist of subunits (organs, cells, and molecular networks) that are themselves complex and competent in their own native contexts. How do coherent biological Individuals result from the activity of smaller sub-agents? To understand the evolution and function of metazoan creatures' bodies and minds, it is essential to conceptually explore the origin of multicellularity and the scaling of the basal cognition of individual cells into a coherent larger organism. In this article, I synthesize ideas in cognitive science, evolutionary biology, and developmental physiology toward a hypothesis about the origin of Individuality: "Scale-Free Cognition." I propose a fundamental definition of an Individual based on the ability to pursue goals at an appropriate level of scale and organization and suggest a formalism for defining and comparing the cognitive capacities of highly diverse types of agents. Any Self is demarcated by a computational surface -the spatio-temporal boundary of events that it can measure, model, and try to affect. This surface sets a functional boundarya cognitive "light cone" which defines the scale and limits of its cognition. I hypothesize that higher level goal-directed activity and agency, resulting in larger cognitive boundaries, evolve from the primal homeostatic drive of living things to reduce stress -the difference between current conditions and life-optimal conditions. The mechanisms of developmental bioelectricity -the ability of all cells to form electrical networks that process informationsuggest a plausible set of gradual evolutionary steps that naturally lead from physiological homeostasis in single cells to memory, prediction, and ultimately complex cognitive agents, via scale-up of the basic drive of infotaxis. Recent data on the molecular mechanisms of pre-neural bioelectricity suggest a model of how increasingly sophisticated cognitive functions emerge smoothly from cell-cell communication used to guide embryogenesis and regeneration. This set of hypotheses provides a novel perspective on numerous phenomena, such as cancer, and makes several unique, testable predictions for interdisciplinary research that have implications not only for evolutionary developmental biology but also for biomedicine and perhaps artificial intelligence and exobiology.

show abstract

Section: -Gautama Buddhamentioning

confidence: 99%

Section: -Gautama Buddhamentioning

confidence: 99%

The Computational Boundary of a “Self”: Developmental Bioelectricity Drives Multicellularity and Scale-Free Cognition

2019

View full text Add to dashboard Cite

show abstract

“…where, 1/Z MT = 1/R MT + jωC MT (5) Additionally, the impedance differences between solutions with and without MTs are given by:…”

Section: The Microtubule Network As An Rc Circuit In Parallelmentioning

confidence: 99%

“…Microtubules (MTs) are cylindrical polymers composed of the heterodimers of protein α, βtubulin that play a variety of well-recognised intracellular roles, such as maintaining the shape and rigidity of the cell, aiding in positioning and stabilisation of the mitotic spindle for allowing chromosomal segregation, acting as 'rails' for macromolecular transport and forming cilia and flagella for cell movement. Since the tubulin dimer possesses a high negative electric charge of~23e and a large intrinsic high dipole moment of approximately 1750 D [1,2], MTs have been implicated in electrically-mediated biological roles [3][4][5][6]. They have been modelled as nanowires capable of enhancing ionic transport [7,8], and simulated to receive and attenuate electrical oscillations [4,[9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Electrical Properties of Microtubule Ensembles under Cell-Like Conditions

et al. 2020

Self Cite

View full text Add to dashboard Cite

Microtubules are hollow cylindrical polymers composed of the highly negatively-charged (~23e), high dipole moment (1750 D) protein α, β- tubulin. While the roles of microtubules in chromosomal segregation, macromolecular transport, and cell migration are relatively well-understood, studies on the electrical properties of microtubules have only recently gained strong interest. Here, we show that while microtubules at physiological concentrations increase solution capacitance, free tubulin has no appreciable effect. Further, we observed a decrease in electrical resistance of solution, with charge transport peaking between 20–60 Hz in the presence of microtubules, consistent with recent findings that microtubules exhibit electric oscillations at such low frequencies. We were able to quantify the capacitance and resistance of the microtubules (MT) network at physiological tubulin concentrations to be 1.27 × 10−5 F and 9.74 × 104 Ω. Our results show that in addition to macromolecular transport, microtubules also act as charge storage devices through counterionic condensation across a broad frequency spectrum. We conclude with a hypothesis of an electrically tunable cytoskeleton where the dielectric properties of tubulin are polymerisation-state dependent.

show abstract

“…15 More recently, solitary solutions have been found to be significant in biomedical research. A cold laser therapy method based on soliton tweezers is developed in Alavi et al 16 Models demonstrating that angiogenesis is driven by and can be controlled using solitons are considered in Bonilla et al 17 Applications of solitary solutions in multiphoton microscropy are discussed in Wang et al 18 A multiple scale soliton perturbation analysis of DNA systems with inhomogeneity effects is performed in Okaly et al 19 The role of solitary solutions in intracellular signaling is considered in Barvitenko et al 20 Soliton-like traveling wave solutions to a model describing the growth of a solid tumor in the presence of an immune system response are constructed in Buzea et al 21 Algorithms for the construction of traveling-wave (soliton-like) solutions have been extensively discussed in literature. Techniques for constructing traveling-wave solutions to various partial differential equations (PDEs) used to model heat transfer are developed in Gao et al 22 Traveling wave solutions falling within the scope of local fractional derivative formulation for the Korteweg-de-Vries equation and the class of two-dimensional Burgers-type equations are considered in Yang and Machado et al 23 25 A new technique for constructing traveling-wave solutions based on factorization is proposed in Yang, Gao, and Srivastava.…”

Section: Introductionmentioning

confidence: 99%

Solitary solutions to an androgen‐deprivation prostate cancer treatment model

et al. 2020

View full text Add to dashboard Cite

A model of androgen deprivation treatment for prostate cancer is considered in this paper. Bright/dark solitary solutions to the model are constructed using inverse balancing and generalized differential operator techniques. It is shown that solitary solutions correspond to biomedically relevant sets of model parameters. Dynamical properties of solitary solutions are analyzed in the phase plane. It is demonstrated that such solutions closely reflect the real‐world phenomena observed during androgen deprivation treatment. Computational experiments are used to illustrate these effects.

show abstract

Integration of intracellular signaling: Biological analogues of wires, processors and memories organized by a centrosome 3D reference system

Cited by 16 publications

References 189 publications

The Computational Boundary of a “Self”: Developmental Bioelectricity Drives Multicellularity and Scale-Free Cognition

The Computational Boundary of a “Self”: Developmental Bioelectricity Drives Multicellularity and Scale-Free Cognition

Investigation of the Electrical Properties of Microtubule Ensembles under Cell-Like Conditions

Solitary solutions to an androgen‐deprivation prostate cancer treatment model

Contact Info

Product

Resources

About