524 research outputs found

    Systems level circuit model of C. elegans undulatory locomotion: mathematical modeling and molecular genetics

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    To establish the relationship between locomotory behavior and dynamics of neural circuits in the nematode C. elegans we combined molecular and theoretical approaches. In particular, we quantitatively analyzed the motion of C. elegans with defective synaptic GABA and acetylcholine transmission, defective muscle calcium signaling, and defective muscles and cuticle structures, and compared the data with our systems level circuit model. The major experimental findings are: (i) anterior-to-posterior gradients of body bending flex for almost all strains both for forward and backward motion, and for neuronal mutants, also analogous weak gradients of undulatory frequency, (ii) existence of some form of neuromuscular (stretch receptor) feedback, (iii) invariance of neuromuscular wavelength, (iv) biphasic dependence of frequency on synaptic signaling, and (v) decrease of frequency with increase of the muscle time constant. Based on (i) we hypothesize that the Central Pattern Generator (CPG) is located in the head both for forward and backward motion. Points (i) and (ii) are the starting assumptions for our theoretical model, whose dynamical patterns are qualitatively insensitive to the details of the CPG design if stretch receptor feedback is sufficiently strong and slow. The model reveals that stretch receptor coupling in the body wall is critical for generation of the neuromuscular wave. Our model agrees with our behavioral data(iii), (iv), and (v), and with other pertinent published data, e.g., that frequency is an increasing function of muscle gap-junction coupling.Comment: Neural control of C. elegans motion with genetic perturbation

    Quantitation of mitochondrial dynamics by photolabeling of individual organelles shows that mitochondrial fusion is blocked during the Bax activation phase of apoptosis

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    A dynamic balance of organelle fusion and fission regulates mitochondrial morphology. During apoptosis this balance is altered, leading to an extensive fragmentation of the mitochondria. Here, we describe a novel assay of mitochondrial dynamics based on confocal imaging of cells expressing a mitochondrial matrix–targeted photoactivable green fluorescent protein that enables detection and quantification of organelle fusion in living cells. Using this assay, we visualize and quantitate mitochondrial fusion rates in healthy and apoptotic cells. During apoptosis, mitochondrial fusion is blocked independently of caspase activation. The block in mitochondrial fusion occurs within the same time range as Bax coalescence on the mitochondria and outer mitochondrial membrane permeabilization, and it may be a consequence of Bax/Bak activation during apoptosis

    The mitochondrial E3 ubiquitin ligase MARCH5 is required for Drp1 dependent mitochondrial division

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    We identify a mitochondrial E3 ubiquitin ligase, MARCH5, as a critical regulator of mitochondrial fission. MARCH5 RING mutants and MARCH5 RNA interference induce an abnormal elongation and interconnection of mitochondria indicative of an inhibition of mitochondrial division. The aberrant mitochondrial phenotypes in MARCH5 RING mutant–expressing cells are reversed by ectopic expression of Drp1, but not another mitochondrial fission protein Fis1. Moreover, as indicated by abnormal clustering and mitochondrial accumulation of Drp1, as well as decreased cellular mobility of YFP-Drp1 in cells expressing MARCH5 RING mutants, MARCH5 activity regulates the subcellular trafficking of Drp1, likely by impacting the correct assembly at scission sites or the disassembly step of fission complexes. Loss of this activity may account for the observed mitochondrial division defects. Finally, MARCH5 RING mutants and endogenous Drp1, but not wild-type MARCH5 or Fis1, co-assemble into abnormally enlarged clusters in a Drp1 GTPase-dependent manner, suggesting molecular interactions among these proteins. Collectively, our data suggest a model in which mitochondrial division is regulated by a MARCH5 ubiquitin-dependent switch

    Genetic algorithms for positron lifetime data

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    Recently, genetic algorithms have been applied for ultrafast optical spectrometry in systems with several convoluted lifetimes. We apply these algorithms and compare the results with POSFIT (by Kirkegaard and Eldrup) and LT programme (by Kansy). The analysis was applied to three types of samples: molybdenum monocrystals, Czochralski-grown silicon with oxygen precipitates, Si with under-surface cavities obtained by He + H ion co- implantation. In all three tests, the genetic algorithm performs very well, in particular for short lifetimes. Further developments to model the resolution function in genetic algorithms are needed

    Endophilin B1 is required for the maintenance of mitochondrial morphology

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    We report that a fatty acyl transferase, endophilin B1, is required for maintenance of mitochondrial morphology. Down-regulation of this protein or overexpression of endophilin B1 lacking the NH2-terminal lipid-modifying domain causes striking alterations of the mitochondrial distribution and morphology. Dissociation of the outer mitochondrial membrane compartment from that of the matrix, and formation of vesicles and tubules of outer mitochondrial membrane, was also observed in both endophilin B1 knockdown cells and after overexpression of the truncated protein, indicating that endophilin B1 is required for the regulation of the outer mitochondrial membrane dynamics. We also show that endophilin B1 translocates to the mitochondria during the synchronous remodeling of the mitochondrial network that has been described to occur during apoptosis. Double knockdown of endophilin B1 and Drp1 leads to a mitochondrial phenotype identical to that of the Drp1 single knockdown, a result consistent with Drp1 acting upstream of endophilin B1 in the maintenance of morphological dynamics of mitochondria

    Performance of networks of artificial neurons: The role of clustering

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    The performance of the Hopfield neural network model is numerically studied on various complex networks, such as the Watts-Strogatz network, the Barab{\'a}si-Albert network, and the neuronal network of the C. elegans. Through the use of a systematic way of controlling the clustering coefficient, with the degree of each neuron kept unchanged, we find that the networks with the lower clustering exhibit much better performance. The results are discussed in the practical viewpoint of application, and the biological implications are also suggested.Comment: 4 pages, to appear in PRE as Rapid Com

    Experimental Demonstration That Aharanov-Bohm Phase Shift Voltages In Optical Coupler Circuits of Tuned Patterned Magnetic Fields Is Critical for Inhibition of Malignant Cell Growth

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    The physical processes by which specific point duration magnetic fields affect aberrant expressions of living matter may involve non-classical mechanisms.The Aharanov-Bohm voltage for a quantum of energy that is convergent with the quotient of the protons magnetic moment to its charge multiplied by the viscosity of water at homeostatic temperatures applied across the distance of O-H bonds in conjunction with its phase modulation is about ±4.3 V. Application of frequency shifting, temporally-patterned magnetic fields produced by 3 ms point durations at average intensities of ~28 mG (that are equivalent to Nernst thresholds for plasma membranes) generated through optocoupler light emitting diodes produced the strongest inhibition of malignant cells growth when the pre-coupler value for the circuit maintenance was ±4.3 V compared to increments of voltage below or above this value. Spatial expansion of the effective zone for growth diminishment also occurred with this pre-voltage level. These results indicate that phase modulation of the electrons mediating cellular molecular pathways may be central to the etiology and potential treatment of malignant cells but not for normal cells dynamics. Consideration of quantum effects rather than classical electromagnetic theory may be a more effective strategy for impeding the physical bases for the molecular pathways that define malignant cells

    Global and regional brain metabolic scaling and its functional consequences

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    Background: Information processing in the brain requires large amounts of metabolic energy, the spatial distribution of which is highly heterogeneous reflecting complex activity patterns in the mammalian brain. Results: Here, it is found based on empirical data that, despite this heterogeneity, the volume-specific cerebral glucose metabolic rate of many different brain structures scales with brain volume with almost the same exponent around -0.15. The exception is white matter, the metabolism of which seems to scale with a standard specific exponent -1/4. The scaling exponents for the total oxygen and glucose consumptions in the brain in relation to its volume are identical and equal to 0.86±0.030.86\pm 0.03, which is significantly larger than the exponents 3/4 and 2/3 suggested for whole body basal metabolism on body mass. Conclusions: These findings show explicitly that in mammals (i) volume-specific scaling exponents of the cerebral energy expenditure in different brain parts are approximately constant (except brain stem structures), and (ii) the total cerebral metabolic exponent against brain volume is greater than the much-cited Kleiber's 3/4 exponent. The neurophysiological factors that might account for the regional uniformity of the exponents and for the excessive scaling of the total brain metabolism are discussed, along with the relationship between brain metabolic scaling and computation.Comment: Brain metabolism scales with its mass well above 3/4 exponen
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