Protein kinase C down-regulation, and not transient activation, correlates with melanocyte growth

The nontumorigenic, immortal line of murine melanocytes, Mel-ab, requires the continual presence of biologically active phorbol esters for growth (R. E. Wilson et al., Cancer Res., 49: 711–716, 1989). Comparable treatments of B16 murine melanoma cells result in partial inhibition of cell proliferation. The role of protein kinase C (PKC) in the modulation of growth of cells from these two melanocytic cell lines has been investigated. Significant levels of PKC were present in quiescent Mel-ab cells as determined by Western blotting, whereas no immunoreactive protein was detected in cell extracts from either proliferating Mel-ab or B16.F1 cells. Phosphorylation of a Mr 80,000 protein, which by one- and two-dimensional gel analysis comigrated with the known Mr 80,000 protein substrate of PKC in fibroblasts, was induced in 12-O-tetradecanoylphorbol-13-acetate-stimulated quiescent Mel-ab cells but not in proliferating Mel-ab cells or B16.F1 melanoma cells. Direct measurement of PKC activity in these cells demonstrated a 10-fold greater level of activity in quiescent Mel-ab cells (262 ± 50 pmol/min/mg SD) compared with growing cells (22.8 ± 11.8 pmol/min/mg SD). An intermediate level of activity was detected in proliferating B16.F1 melanoma cells (148.5 ± 20.4 pmol/min/mg SD). The subcellular distribution of PKC was dependent upon the growth state of the cells such that quiescent Mel-ab cells displayed a higher level of activity in the cytosol, whereas growing Melab cells displayed greater activity in the particulate fraction. Like many other transformed lines, B16.F1 melanoma cells constitutively expressed the majority of enzyme activity in the particulate fraction. Measurement of [3H]phorbol ester binding in intact cells paralleled the PKC activation data such that quiescent Mel-ab cells displayed binding of 1612 ± 147 cpm/106 cells, whereas proliferating Mel-ab and B16.F1 melanoma cells displayed binding of 652 ± 28 and 947 ± 81 cpm/106 cells, respectively. Membrane-permeant diacylglycerol analogues, which activated but did not down-regulate PKC, were devoid of growth-stimulating effects on melanocytes, even in the presence of the specific diacylglycerol kinase inhibitor, R59022. Together, these data show that PKC down-regulation, and not activation, correlates with the growth of melanocytes in culture.

Coordination and control in project-based work: digital objects and infrastructures for delivery

A major infrastructure project is used to investigate the role of digital objects in the coordination of engineering design work. From a practice-based perspective, research emphasizes objects as important in enabling cooperative knowledge work and knowledge sharing. The term ‘boundary object’ has become used in the analysis of mutual and reciprocal knowledge sharing around physical and digital objects. The aim is to extend this work by analysing the introduction of an extranet into the public–private partnership project used to construct a new motorway. Multiple categories of digital objects are mobilized in coordination across heterogeneous, cross-organizational groups. The main findings are that digital objects provide mechanisms for accountability and control, as well as for mutual and reciprocal knowledge sharing; and that different types of objects are nested, forming a digital infrastructure for project delivery. Reconceptualizing boundary objects as a digital infrastructure for delivery has practical implications for management practices on large projects and for the use of digital tools, such as building information models, in construction. It provides a starting point for future research into the changing nature of digitally enabled coordination in project-based work.

A hyperstable neural network for the modelling and control of nonlinear systems

A multivariable hyperstable robust adaptive decoupling control algorithm based on a neural network is presented for the control of nonlinear multivariable coupled systems with unknown parameters and structure. The Popov theorem is used in the design of the controller. The modelling errors, coupling action and other uncertainties of the system are identified on-line by a neural network. The identified results are taken as compensation signals such that the robust adaptive control of nonlinear systems is realised. Simulation results are given.

Dynamic recurrent neural network for system identification and control

A dynamic recurrent neural network (DRNN) that can be viewed as a generalisation of the Hopfield neural network is proposed to identify and control a class of control affine systems. In this approach, the identified network is used in the context of the differential geometric control to synthesise a state feedback that cancels the nonlinear terms of the plant yielding a linear plant which can then be controlled using a standard PID controller.

Glycogen synthase kinases 3α and 3β in cardiac myocytes: regulation and consequences of their inhibition

Inhibition of glycogen synthase kinase 3β (GSK3β) as a consequence of its phosphorylation by protein kinase B/Akt (PKB/Akt) has been implicated in cardiac myocyte hypertrophy in response to endothelin-1 or phenylephrine. We examined the regulation of GSK3α (which we show to constitute a significant proportion of the myocyte GSK3 pool) and GSK3β in cardiac myocytes. Although endothelin increases phosphorylation of GSK3 and decreases its activity, the response is less than that induced by insulin (which does not promote cardiac myocyte hypertrophy). GSK3 phosphorylation induced by endothelin requires signalling through the extracellular signal-regulated kinase 1/2 (ERK1/2) cascade and not the PKB/Akt pathway, whereas the reverse is true for insulin. Cardiac myocyte hypertrophy involves changes in morphology, and in gene and protein expression. The potent GSK3 inhibitor 1-azakenpaullone increases myocyte area as a consequence of increased cell length whereas phenylephrine increases both length and width. Azakenpaullone or insulin promotes AP1 transcription factor binding to an AP1 consensus oligonucleotide, but this was significantly less than that induced by endothelin and derived principally from increased binding of JunB protein, the expression of which was increased. Azakenpaullone promotes significant changes in gene expression (assessed by Affymetrix microarrays), but the overall response is less than with endothelin and there is little overlap between the genes identified. Thus, although GSK3 may contribute to cardiac myocyte hypertrophy in some respects (and presumably plays an important role in myocyte metabolism), it does not appear to contribute as significantly to the response induced by endothelin as has been maintained.

A mixture of experts network structure construction algorithm for modelling and control

This paper introduces a new fast, effective and practical model structure construction algorithm for a mixture of experts network system utilising only process data. The algorithm is based on a novel forward constrained regression procedure. Given a full set of the experts as potential model bases, the structure construction algorithm, formed on the forward constrained regression procedure, selects the most significant model base one by one so as to minimise the overall system approximation error at each iteration, while the gate parameters in the mixture of experts network system are accordingly adjusted so as to satisfy the convex constraints required in the derivation of the forward constrained regression procedure. The procedure continues until a proper system model is constructed that utilises some or all of the experts. A pruning algorithm of the consequent mixture of experts network system is also derived to generate an overall parsimonious construction algorithm. Numerical examples are provided to demonstrate the effectiveness of the new algorithms. The mixture of experts network framework can be applied to a wide variety of applications ranging from multiple model controller synthesis to multi-sensor data fusion.

Autonomous ship collision free trajectory navigation and control algorithms

A new autonomous ship collision free (ASCF) trajectory navigation and control system has been introduced with a new recursive navigation algorithm based on analytic geometry and convex set theory for ship collision free guidance. The underlying assumption is that the geometric information of ship environment is available in the form of a polygon shaped free space, which may be easily generated from a 2D image or plots relating to physical hazards or other constraints such as collision avoidance regulations. The navigation command is given as a heading command sequence based on generating a way point which falls within a small neighborhood of the current position, and the sequence of the way points along the trajectory are guaranteed to lie within a bounded obstacle free region using convex set theory. A neurofuzzy network predictor which in practice uses only observed input/output data generated by on board sensors or external sensors (or a sensor fusion algorithm), based on using rudder deflection angle for the control of ship heading angle, is utilised in the simulation of an ESSO 190000 dwt tanker model to demonstrate the effectiveness of the system.