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At least 1,531 records · Page 85Linked to original sources
PubMed2000

Pulsed plasma deposition of allylamine on polysiloxane: a stable surface for neuronal cell adhesion.

Allylamine was pulse-plasma polymerized onto a hydrophobic polysiloxane substrate to create cell adhesion surfaces for cell culture that would not require pretreatment with polylysine, could be sterilized via autoclaving, and could be re-used for several culture cycles. We investigated two different plasma deposition protocols at 200 W RF power: (1) a duty cycle of 3 ms on and 5 ms off; and (2) a cycle of 3 ms on and 45 ms off. Control surfaces were unmodified polysiloxane, activated polysiloxane via flaming, and flamed polysiloxane further modified with poly-D-lysine (PDL). The different surfaces were characterized with XPS analysis, water contact angle, and cell adhesion and growth using dissociated murine embryonic spinal tissue. We found that both the amine content of the 3/45 duty cycle surface and the wettability was higher than that of the 3/5 surface. Also, spinal cord cells were better dispersed 24 h after seeding on the 3/45 surface, suggesting a difference in early adhesion dynamics. However, the networks on the two types of modified surfaces revealed no obvious morphological differences after 2 weeks in vitro. The stability of allylamine-decorated surfaces after autoclaving was high with only minor changes in wettability and nitrogen content. Cell growth on such surfaces after autoclaving was comparable to that found on flamed polysiloxane, freshly modified with PDL. Allylamine surfaces were still usable as cell growth substrates after three autoclaving cycles, 4 weeks under warm culture medium, and simple cleaning procedures, indicating the achievement of a long-lasting modification that did not require the repeated use of PDL before each seeding.

Allylamine↗
PubMed2000

Connectance in Sorghum development: beyond the genotype-phenotype duality.

Connectance, the level of linkage between organs, was measured in different lines of Sorghum bicolor during their reproductive development. It was compared with expression of characters, their level of variability and their heritability. A negative relationship is observed between connectance and heritability. Further results indicate that connectance does not simply introduce a noise factor in expression of a pre-existing information, but that it is directly involved in phenotypic expression and plasticity. Connectance appears as partly determined by the nature and dynamics of the network of relationships. It is concluded that the phenotype is not restricted to the deterministic expression of a pre-existing program, the genotype. Morphogenesis also involves another dimension, self-organized, which confers reliability, stability and adaptability to the developmental processes. The complex interactions between these two dimensions and their evolutionary consequences are discussed.

Edible Grain↗
PubMed1999

Hierarchical classification with a competitive evolutionary neural tree.

A new, dynamic, tree structured network, the Competitive Evolutionary Neural Tree (CENT) is introduced. The network is able to provide a hierarchical classification of unlabelled data sets. The main advantage that the CENT offers over other hierarchical competitive networks is its ability to self determine the number, and structure, of the competitive nodes in the network, without the need for externally set parameters. The network produces stable classificatory structures by halting its growth using locally calculated heuristics. The results of network simulations are presented over a range of data sets, including Anderson's IRIS data set. The CENT network demonstrates its ability to produce a representative hierarchical structure to classify a broad range of data sets.

Journal Article↗
PubMed1997

Acute effects of cocaine on human brain activity and emotion.

We investigated brain circuitry mediating cocaine-induced euphoria and craving using functional MRI (fMRI). During double-blind cocaine (0.6 mg/kg) and saline infusions in cocaine-dependent subjects, the entire brain was imaged for 5 min before and 13 min after infusion while subjects rated scales for rush, high, low, and craving. Cocaine induced focal signal increases in nucleus accumbens/subcallosal cortex (NAc/SCC), caudate, putamen, basal forebrain, thalamus, insula, hippocampus, parahippocampal gyrus, cingulate, lateral prefrontal and temporal cortices, parietal cortex, striate/extrastriate cortices, ventral tegmentum, and pons and produced signal decreases in amygdala, temporal pole, and medial frontal cortex. Saline produced few positive or negative activations, which were localized to lateral prefrontal cortex and temporo-occipital cortex. Subjects who underwent repeat studies showed good replication of the regional fMRI activation pattern following cocaine and saline infusions, with activations on saline retest that might reflect expectancy. Brain regions that exhibited early and short duration signal maxima showed a higher correlation with rush ratings. These included the ventral tegmentum, pons, basal forebrain, caudate, cingulate, and most regions of lateral prefrontal cortex. In contrast, regions that demonstrated early but sustained signal maxima were more correlated with craving than with rush ratings; such regions included the NAc/SCC, right parahippocampal gyrus, and some regions of lateral prefrontal cortex. Sustained negative signal change was noted in the amygdala, which correlated with craving ratings. Our data demonstrate the ability of fMRI to map dynamic patterns of brain activation following cocaine infusion in cocaine-dependent subjects and provide evidence of dynamically changing brain networks associated with cocaine-induced euphoria and cocaine-induced craving.

Adult↗
PubMed1993

The cellular and molecular biology of keratins: beginning a new era.

The past year has been extremely fruitful for research on intermediate filaments in general, and keratins in particular. Unprecedented progress has been made in our understanding of the structural requirements for keratin filament assembly and network formation, the dynamism characterizing keratin filaments, their function, and implication in human genetic disorders primarily affecting the skin. These exciting findings have several implications for future research.

Amino Acid Sequence↗
PubMed2002

Hidden face of the anterior pituitary.

The traditional view holds that the anterior pituitary is an endocrine gland with a complex and heterogeneous distribution of cells throughout the parenchyma. Thus, a long-distance mode of intraorgan communication is not usually taken into account in our understanding of pituitary functioning. However, recent in situ pituitary studies have begun to unveil a hitherto unknown route of large-scale information transfer within the pituitary. Agranular folliculostellate cells - the sixth type of pituitary cell initially discovered almost half a century ago - are the functional units of a dynamically active cell network wiring the whole gland. Because folliculostellate cells communicate with their endocrine neighbors, this opens the door to considering the pituitary as a cellular puzzle more ordered than was first thought. Hence, cell networking within the pituitary gland could have a privileged role in coordinating the activities of distant cells in both physiological and pathological conditions.

Animals↗
PubMed2000

Coordinating development with the cell cycle in Caulobacter.

During the Caulobacter life cycle, the timing of DNA replication, cell division and development is precisely coordinated. Recent work has begun to unravel the complex regulatory networks that couple these processes. A key aspect of these regulatory networks is the dynamic localization of multiple histidine protein kinases that control a master response regulator, thus driving downstream pathways.

Bacterial Proteins↗
PubMed2000

Comparison of human ictal, interictal and normal non-linear component analyses.

OBJECTIVES: The non-linear properties of EEG and filtered rhythms obtained from healthy subjects and epileptic patients with complex partial seizures were analyzed to investigate whether EEG in different neurological states can be generated by the mechanism that integrates several non-linear dynamic systems. METHODS: The control EEG (from 26 healthy subjects), interictal EEG and ictal EEG (from 25 patients) were digitally filtered into delta (0.5-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (13-30 Hz) and gamma (30-40 Hz) components. The correlation dimension was calculated on each original signal and corresponding surrogate data. A new method was developed to accelerate the calculation of the correlation integral. Function P(m,r) was defined to visualize the meaning of the correlation dimension. The point critical to the estimation was determined by the P(m,r) function. RESULTS: The EEG in the control subjects and patients showed significantly lower correlation dimensions than the surrogate data. The delta, alpha, beta and gamma components from the control EEG exhibited similar complexity to the surrogate data, while only the alpha component from the interictal EEG presented the same dimension as the surrogate data. The correlation dimensions of the theta and alpha components remained the same when the neurological state changed from interictal EEG to ictal EEG. The complexity of the beta component was higher than the complexity of other components in both control subjects and patients. The correlation dimension of EEG was significantly correlated to the complexity of delta, theta, beta and gamma components. CONCLUSIONS: Our results suggest that EEG and filtered components in different neurological states demonstrate varied dynamic properties. The characteristics of neuronal networks can be differentiated by the dynamics of filtered components. Separating EEG into different dynamic systems may facilitate understanding of the mechanisms involved in the human EEG.

Adult↗
PubMed2004

Genomics-based hypothesis generation: a novel approach to unravelling drug resistance in brain tumours?

No currently available chemotherapy seems likely to substantially improve outcome in most patients with brain tumours. Several resistance-associated cellular factors, which were discovered in other cancer models, have also been identified in brain tumours. Although these mechanisms play some part in resistance in brain tumours, they are not sufficient to explain the poor clinical response to chemotherapy. There could be other brain-tumour-specific genetic profiles that are associated with tumour sensitivity to chemotherapy. There is increasing awareness that drug resistance in brain tumours is not a result of changes in single molecular pathways but is likely to involve a complex network of regulatory dynamics. Further insights into chemoresistance in brain tumours could come with comprehensive characterisation of their gene expression, as well as the genetic changes occurring in response to chemotherapy. Recent progress in high-throughput bioanalytical methods for genome-wide studies has made possible a novel research model of initial hypothesis generation followed by functional testing of the generated hypothesis.

Brain Neoplasms↗
PubMed2005

Controlled initiation of enzymatic reactions in micrometer-sized biomimetic compartments.

We present a technique to initiate chemical reactions involving few reactants inside micrometer-scale biomimetic vesicles (10(-12) to 10(-15) L) integral to three-dimensional surfactant networks. The shape of these networks is under dynamic control, allowing for transfer and mixing of two or several reactants at will. Specifically, two nanotube-connected vesicles were filled with reactants (substrate and enzyme, respectively) by microinjection. Initially, the vesicles are far apart and any diffusive mixing (on relevant experimental time scales) between the contents of the separated vesicles is hindered because of the narrow diameter and long axial extension of the nanotube. To initiate a reaction, the vesicles were brought close together, the nanotube was consumed by the vesicles and at a critical distance, the nanotube-vesicle junctions were dilated leading to formation of one spherical reactor, and hence mixing of the contents. We demonstrate the concept using a model enzymatic reaction, which yields a fluorescent product (two-step hydrolysis of fluorescein diphosphate by alkaline phosphatase), where product formation was measured as a function of time using a FRAP fluorescence microscopy protocol. By comparing the enzymatic activity with bulk measurements, the enzyme concentration inside the vesicle could be determined. Reactions could be followed for systems having as few as approximately 15 enzyme molecules confined to a reactor vesicle. To describe the experiments we use a simple diffusion-controlled reaction model and solve it using a survival probability approach. The agreement with experiment is qualitative, but the model describes the trends well. It is shown that the model correctly predicts (i) single-exponential decay after a few seconds, and (ii) that the substrate decay constant depends on the number of enzymes and geometry of reaction container. The numerical correction factor Lambda is introduced in order to ensure semiquantitative agreement between experiment and theory. It was shown that this numerical factor depends weakly on vesicle radius and number of enzymes, thus it is sufficient to determine this factor only once in a single calibration measurement.

Alkaline Phosphatase↗
PubMed2001

Regulation of mouse mammary gland development and tumorigenesis by the ERBB signaling network.

The four ERBB receptors and their multiple polypeptide ligands are differentially expressed during development of the mouse mammary gland. Profiles suggest that ERBB1/EGF receptor (EGFR)4 and ERBB2/Neu are required during ductal morphogenesis, whereas the Neuregulin (NRG) receptors, ERBB3 and ERBB4, are preferentially expressed through alveolar morphogenesis and lactation. Consistent with these profiles, recent gene knockouts established that EGFR and its ligand, Amphiregulin (AR), are essential for ductal morphogenesis in the adolescent mouse and likely provide the required epithelial-stromal signal. In contrast, the phenotypes of transgenic mice expressing dominant negative ERBB2 and ERBB4 proteins suggest that these receptors differentially act to promote or maintain alveolar differentiation. This view of ERBB action provides a conceptual framework for future testing using more sophisticated conditional knockout models. New or existing transgenic mice are also being used to better understand the contributions of ERBB receptors and ligands to mammary tumorigenesis, as well as to more closely mimic the human disease. Recent studies have focused on defining molecular events in neoplastic progression, and in the case of ERBB2/Neu, the requirement for ERBB heterodimerization partners as well as the relative importance of gene amplification versus gene mutation. Collectively, these recent studies establish that normal development and homeostasis of the mammary gland is critically dependent on regulated ERBB signaling. They also illustrate the value of animal models in deciphering roles for the complex ERBB network in this dynamic tissue.

Animals↗
PubMed1999

Feedback interactions between neuronal pointers and maps for attentional processing.

Neural networks combining local excitatory feedback with recurrent inhibition are valuable models of neocortical processing. However, incorporating the attentional modulation observed in cortical neurons is problematic. We propose a simple architecture for attentional processing. Our network consists of two reciprocally connected populations of excitatory neurons; a large population (the map) processes a feedforward sensory input, and a small population (the pointer) modulates location and intensity of this processing in an attentional manner dependent on a control input to the pointer. This pointer-map network has rich dynamics despite its simple architecture and explains general computational features related to attention/intention observed in neocortex, making it interesting both theoretically and experimentally.

Attention↗
PubMed2003

CD95 ligand--death factor and costimulatory molecule?

The CD95 ligand is involved as a death factor in the regulation of activation-induced cell death, establishment of immune privilege and tumor cell survival. In addition, CD95L may serve as a costimulatory molecule for T-cell activation. Alterations in expression or shedding of membrane and soluble CD95L are associated with numerous diseases, and underscore the pathophysiological relevance of the CD95/CD95L system. In most cases, the causal link between altered CD95L expression and pathophysiology is unknown. Given the potency of the molecule to regulate death and survival of many different cell types, the control of CD95L production, transport, storage, shedding and inactivation is of tremendous biological and clinical interest. This review summarizes the current knowledge, hypotheses and controversies about CD95L as a multifunctional ligand and receptor. It considers the different roles of membrane and soluble forms of CD95L and the complex networks of intracellular dynamics of protein trafficking, as well as the potential bidirectional signal transduction capacity of CD95L, with a focus on molecular interactions that have been worked out over the past years.

Animals↗
PubMed2006

RB, the conductor that orchestrates life, death and differentiation.

The retinoblastoma susceptibility gene was the first tumor suppressor gene identified in humans and the first tumor suppressor gene knocked out by targeted deletion in mice. RB serves as a transducer between the cell cycle machinery and promoter-specific transcription factors, its most documented activity being the repression of the E2F family of transcription factors, which regulate the expression of genes involved in cell proliferation and survival. Recent investigations of RB function suggest that it works as a fundamental regulator to coordinate pathways of cellular growth and differentiation. In this review, we unravel the novel role of an equally important aspect of RB in downregulating the differentiation inhibitor EID-1 during cellular differentiation by teasing apart the signal, which elicit differentiation and limit cell cycle progression, since the molecular mechanisms relating to RB activation of differentiation is much less understood. We review the various roles for RB in differentiation of neurons, muscle, adipose tissue, and the retina. In addition, we provide an update for the current models of the role of RB in cell cycle to entry and exit, extending the view toward chromatin remodeling and expose the dichotomies in the regulation of RB family members. We conclude with a discussion of a novel RB regulatory network, incorporating the dynamic contribution of EID family proteins.

Adipose Tissue↗
PubMed2006

Characterization of the local temperature in space and time around a developing Drosophila embryo in a microfluidic device.

This paper characterizes a microfluidic platform that differentially controls the temperature of each half of a living Drosophila melanogaster fruitfly embryo in space and time (E. M. Lucchetta, J. H. Lee, L. A. Fu, N. H. Patel and R. F. Ismagilov, Nature, 2005, 434, 1134-1138). This platform relies on laminar flow of two streams of liquid with different temperature, and on rapid prototyping in polydimethylsiloxane (PDMS). Here, we characterized fluid flow and heat transport in this platform both experimentally and by numerical simulation, and estimated the temperature distribution around and within the embryo by numerical simulation, to identify the conditions for creating a sharper temperature difference (temperature step) over the embryo. Embryos were removed from the device and immunostained histochemically for detection of Paired protein. Biochemical processes are sensitive to small differences in environmental temperature. The microfluidic platform characterized here could prove useful in understanding dynamics of biochemical networks as they respond to changes in temperature.

Algorithms↗
PubMed1999

Patient readmission and support utilization following anterior temporal lobectomy.

The aim of this study was to examine factors precipitating patient readmission, following anterior temporal lobectomy (ATL) for refractory epilepsy. A second aim was to explore the use of hospital outpatient and community support services ('outpatient services') by this patient population. These aims served the more general goal of identifying patients most likely in need of services additional to those routinely provided by our Seizure Surgery Follow-up and Rehabilitation Programme. The medical records of 100 consecutive ATL patients were retrospectively examined for the incidence and diagnoses precipitating acute readmission, and the utilization of additional outpatient services. Twenty-one patients (21%) required readmission post-ATL, totalling 47 readmissions between them. Psychiatric diagnoses were the most prevalent (53%), including anxiety, depression and/or post-ictal psychosis. Epileptological diagnoses were the other main precipitant (28%). Additional outpatient services were predominantly utilized for ongoing psychological support. Of the 21 patients requiring readmission, 10(10%) also needed additional outpatient services. These patients were predominantly female or unemployed, in contrast to male or employed patients who tended to require readmission only. Seventeen patients (17%) were maintained within the community using additional outpatient services only. Characteristics of these patients included disrupted family dynamics, limited social networks, and/or a psychiatric history. These patients were also more frequently beyond the 24-month follow-up period of the programme. A profile of patients most in need of additional support services can be constructed to assist team planning of proactive management strategies for the rehabilitation phase of ATL.

Acute Disease↗
PubMedDate not supplied

Electrical coupling and plasticity of the mitochondrial network.

Kinetic fluorescence imaging and the potentiometric probe tetramethylrhodamine methyl ester (TMRM) were used to evoke and detect changes in membrane potential (delta Psi(m)) of individual mitochondria in living cells. As a combined effect of preferential TMRM accumulation in mitochondria, and of TMRM photoactivation, individual organelles displayed sharp transient depolarizations caused by local reactive oxygen species (ROS)-mediated gatings of the mitochondrial permeability transition pore (PTP). In COS-7 cells, such directed repetitive gatings of the PTP gave rise to stochastic delta Psi(m)flickering at the level of individual organelles, but also to prominent synchronous delta Psi(m)transitions in whole subgroups of the mitochondrial population, indicative of the existence of an underlying electrically coupled mitochondrial network. In single cells, this network could comprise as much as 65% of the total mitochondrial population, a nd exhibited a high plasticity with mitochondrial units spontaneously connecting to and disconnecting from the coupled structure within seconds. These results indicate that in resting cells, the mitochondrial network is a dynamic proton-conducting structure capable to commute and coordinate electrical signals generated by the PTP.

Animals↗
PubMed2005

Dynamics of end-linked star-polymer structures.

In this work we focus on the dynamics of macromolecular networks formed by end-linking identical polymer stars. The resulting macromolecular network can then be viewed as consisting of spacers which connect branching points (the cores of the stars). We succeed in analyzing exactly, in the framework of the generalized Gaussian model, the eigenvalue spectrum of such networks. As applications we focus on several topologies, such as regular networks and dendrimers; furthermore, we compare the results to those found for regular hyperbranched structures. In so doing, we also consider situations in which the beads of the cores differ from the beads of the spacers. The analytical procedure which we use involves an exact real-space renormalization, which allows to relate the star network to a (much simpler) network, in which each star is reduced to its core. It turns out that the eigenvalue spectrum of the star-polymer structure consists of two parts: one follows in terms of polynomial equations from the relaxation spectrum of the corresponding renormalized structure, while the second part involves the motion of the spacer chains themselves. Finally, we show exemplarily the situation for copolymeric dendrimers, calculate their spectra, and from them their storage and the loss moduli.

Journal Article↗