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ULTIMATE COMPUTING - Quantum Consciousness Studies

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166 Models of Cytoskeletal Computing<br />

gradion fields within microtubule surfaces as the neighborhood areas around<br />

intermicrotubule MAP bridges. They further assumed five possible<br />

conformational states for each dimer determined by inter-MT linkage sites and<br />

their cooperative allosteric effects, as well as dimer binding by a number of<br />

different native substrates or foreign molecules. The pattern of tubulin dimer<br />

conformational states in a region of MT lattice “governed” by attachment of inter-<br />

MT linkages (or other MAPs) is defined as a “gradion,” or conformational field<br />

which includes about seventeen dimers. Consequently, 5 17 different gradion<br />

patterns could exist if the conformation of each subunit were independent of all<br />

others. Cooperativity and allosteric effects preclude independence, so the number<br />

of possible MT “gradions” is somewhat less, but still substantial. Roth and Pihlaja<br />

(1977) see formation of many “gradions” within axopod MT as a mechanism for<br />

position determination and coding for connections. Applied to neuronal<br />

cytoskeleton, such deterministic patterns would be generally useful for mental<br />

processes in the brain and be a viable candidate for “grain of the engram.”<br />

The gradion theory may be applied to any large field of allosteric particles.<br />

Allosterism and cooperativity in membranes, cell junctions, and protein particles<br />

in many cells could explain aspects of cooperative communication, however<br />

microtubules appear especially well suited for information functions. The MT<br />

gradion model of Roth, Pihlaja, and Shigenaka is an early specific theory of<br />

information processing in protein assemblies in general, and microtubules in<br />

particular.<br />

8.2.7 Gyroscopic Centrioles/Bornens<br />

French molecular biologist Michel Bornens (1979) has investigated cellular<br />

mechanisms of organization and argues for a dynamic stability based on<br />

organizational properties of centrioles and the cytoskeleton. Specifically, Bornens<br />

proposes that centrioles are animated by rapid oscillatory rotation about their<br />

longitudinal axis which results in a dynamic stability and inertia analogous to a<br />

spinning top or gyroscope. Peripheral movements throughout the cell are<br />

interconnected by the cytoskeleton, with the gyroscopic centrioles an inert point<br />

of reference which provides cellular gravity. Centrioles and microtubule<br />

organizing centers (MTOC) are the origin for the cell’s spatial coordinates and<br />

cytoplasmic movement appears to occur relative to the MTOC. Bornens likens<br />

movement in each cylinder to a stepwise electric motor in which the central<br />

“cartwheel” (or “pinwheel”) is equivalent to an ATP-dynein “stator,” and the<br />

centriolar wall the moving “rotor.” Continuous torque rotation of centrioles could<br />

serve to propel them through cytoplasm, like an “Archimedes screw” (Record,<br />

1986). Bornens also considers the possibility of “back and forth” oscillation with<br />

utility for scanning the cell environment.<br />

Reviewing Bornens’ gyroscopic centriole model, Albrecht-Buehler (1981)<br />

questioned the high rate of rotation required for significant inertia. Albrecht-<br />

Buehler calculated that centrioles would have to rotate at frequencies of 2.3<br />

million revolutions per minute before their kinetic energy matches one kT (the<br />

thermal energy of one molecular degree of freedom). Consequently, “much<br />

greater rotational frequencies would be required before the centriole could<br />

withstand the impact of thermally moving molecules around them and maintain<br />

stable axial orientation” (Albrecht-Buelhler, 1981). Bornens responded by<br />

suggesting a submicroscopic mechanism “allowing more independence of the<br />

centriole with respect to surrounding material.” Factors which could support his<br />

contention include ordered water coupled to centriolar oscillation, some unknown<br />

property of the “pericentriolar material,” ionic charge layer, or even<br />

superconductivity as suggested by Fröhlich and Del Giudice’s group (Chapter 6).

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