2,859 research outputs found

    Protoemics of integral membrane proteins from developing Brassica napus

    Get PDF
    Abstract only availableAs plant seeds develop the accumulation of natural products, starch, oil, and protein undergo dramatic changes. At the early stages of seed filling in oilseeds starch is the principal component. Oil (triacylglycerol) and protein concentrations do not reach a maximum until the later stages of seed development. This metabolic shift within the seed, from production of starch to production of oil and protein, indicates that seed metabolism is regulated temporally. To better understand these metabolic changes it is important to examine the cognate changes in protein expression. Integral membrane proteins represent one class of proteins which are important for inter-organellar metabolic flow. Current two-dimensional electrophoresis techniques are unsuitable for the profiling of hydrophobic membrane proteins. To specifically characterize this class of proteins, a reproducible protocol for membrane protein isolation that can be used with standard sodium dodecyl sulfate polyacrylamide gel electrophoresis needed to be developed. Alkaline sodium carbonate washing of membranes followed by ultracentrifugation appeared to yield washed membrane fractions distinct from total protein fractions. To quantify relative volume and molecular weights of individual bands, Coomassie stained gels were analyzed with ImageQuant software. Identification of these bands was performed by trypsin digesting each protein (in-gel) and obtaining accurate peptide mass 'tags' using Matrix Assisted Laser Desorption Ionization-Time of Flight (MALDI-TOF) mass spectrometry. Peptide mass fingerprinting resulted in twelve conclusive identifications (out of 25 analyzed). Of these, six proteins were involved in the glucosinolate-myrosinase defense pathway. These proteins are suspected to be membrane associated, and are involved in a defense system that protects plant tissues from herbivory and fungal, viral, and bacterial infections. Other proteins were identified as: the RuBisCO large subunit, histone H3, NADH dehydrogenase subunit, pyruvate dehydrogenase E1 alpha subunit, and two types of cruciferins which are seed storage proteins. Of these, only NADH dehydrogenase is an integral membrane protein. Based on this data, the alkaline sodium carbonate wash method did not effectively enrich for integral membrane proteins. This may be due largely to the fact that certain proteins, especially cruciferin seed storage proteins, RuBisCO and myrosinases, are expressed at much higher levels than integral membrane proteins and are not quantitatively removed from membrane fractions by salt washing alone. Future work will include alternative approaches to membrane protein isolation including organic extraction.MU Monsanto Undergraduate Research Fellowshi

    'She's like a daughter to me': insights into care, work and kinship from rural Russia

    Get PDF
    This article draws on ethnographic research into a state-funded homecare service in rural Russia. The article discusses intersections between care, work and kinship in the relationships between homecare workers and their elderly wards and explores the ways in which references to kinship, as a means of authenticating paid care and explaining its emotional content, reinforce public and private oppositions while doing little to relieve the tensions and conflicts of care work. The discussion brings together detailed empirical insights into local ideologies and practices as a way of generating new theoretical perspectives, which will be of relevance beyond the particular context of study

    Unstable Dynamics, Nonequilibrium Phases and Criticality in Networked Excitable Media

    Full text link
    Here we numerically study a model of excitable media, namely, a network with occasionally quiet nodes and connection weights that vary with activity on a short-time scale. Even in the absence of stimuli, this exhibits unstable dynamics, nonequilibrium phases -including one in which the global activity wanders irregularly among attractors- and 1/f noise while the system falls into the most irregular behavior. A net result is resilience which results in an efficient search in the model attractors space that can explain the origin of certain phenomenology in neural, genetic and ill-condensed matter systems. By extensive computer simulation we also address a relation previously conjectured between observed power-law distributions and the occurrence of a "critical state" during functionality of (e.g.) cortical networks, and describe the precise nature of such criticality in the model.Comment: 18 pages, 9 figure

    Embodiment and the origin of interval timing: kinematic and electromyographic data

    Get PDF
    Recent evidence suggests that interval timing (the judgment of durations lasting from approximately 500 ms. to a few minutes) is closely coupled to the action control system. We used surface electromyography (EMG) and motion capture technology to explore the emergence of this coupling in 4-, 6-, and 8-month-olds. We engaged infants in an active and socially relevant arm-raising task with 7 cycles and response period. In one condition cycles were slow (every 4 seconds) in another they were fast (every 2 seconds). In the slow condition, we found evidence of time locked sub-threshold EMG activity even in the absence of any observed overt motor responses at all 3 ages. This study shows that EMGs can be a more sensitive measure of interval timing in early development than overt behavior

    The role of auditory cortices in the retrieval of single-trial auditory-visual object memories.

    Get PDF
    Single-trial encounters with multisensory stimuli affect both memory performance and early-latency brain responses to visual stimuli. Whether and how auditory cortices support memory processes based on single-trial multisensory learning is unknown and may differ qualitatively and quantitatively from comparable processes within visual cortices due to purported differences in memory capacities across the senses. We recorded event-related potentials (ERPs) as healthy adults (n = 18) performed a continuous recognition task in the auditory modality, discriminating initial (new) from repeated (old) sounds of environmental objects. Initial presentations were either unisensory or multisensory; the latter entailed synchronous presentation of a semantically congruent or a meaningless image. Repeated presentations were exclusively auditory, thus differing only according to the context in which the sound was initially encountered. Discrimination abilities (indexed by d') were increased for repeated sounds that were initially encountered with a semantically congruent image versus sounds initially encountered with either a meaningless or no image. Analyses of ERPs within an electrical neuroimaging framework revealed that early stages of auditory processing of repeated sounds were affected by prior single-trial multisensory contexts. These effects followed from significantly reduced activity within a distributed network, including the right superior temporal cortex, suggesting an inverse relationship between brain activity and behavioural outcome on this task. The present findings demonstrate how auditory cortices contribute to long-term effects of multisensory experiences on auditory object discrimination. We propose a new framework for the efficacy of multisensory processes to impact both current multisensory stimulus processing and unisensory discrimination abilities later in time

    Spin Echo Decay in a Stochastic Field Environment

    Full text link
    We derive a general formalism with which it is possible to obtain the time dependence of the echo size for a spin in a stochastic field environment. Our model is based on ``strong collisions''. We examine in detail three cases where: (I) the local field is Ising-like, (II) the field distribution is continuous and has a finite second moment, and (III) the distribution is Lorentzian. The first two cases show a T2 minimum effect and are exponential in time cubed for short times. The last case can be approximated by a phenomenological stretched exponential.Comment: 11 pages + 3 postscript figure

    Interplane magnetic coupling effects in the multilattice compound Y_2Ba_4Cu_7O_{15}

    Full text link
    We investigate the interplane magnetic coupling of the multilattice compound Y_2Ba_4Cu_7O_{15} by means of a bilayer Hubbard model with inequivalent planes. We evaluate the spin response, effective interaction and the intra- and interplane spin-spin relaxation times within the fluctuation exchange approximation. We show that strong in-plane antiferromagnetic fluctuations are responsible for a magnetic coupling between the planes, which in turns leads to a tendency of the fluctuation in the two planes to equalize. This equalization effect grows whit increasing in-plane antiferromagnetic fluctuations, i. e., with decreasing temperature and decreasing doping, while it is completely absent when the in-layer correlation length becomes of the order of one lattice spacing. Our results provide a good qualitative description of NMR and NQR experiments in Y_2Ba_4Cu_7O_{15}.Comment: Final version, to appear. in Phys. Rev. B (Rapid Communications), sched. Jan. 9

    Deep Depth From Focus

    Full text link
    Depth from focus (DFF) is one of the classical ill-posed inverse problems in computer vision. Most approaches recover the depth at each pixel based on the focal setting which exhibits maximal sharpness. Yet, it is not obvious how to reliably estimate the sharpness level, particularly in low-textured areas. In this paper, we propose `Deep Depth From Focus (DDFF)' as the first end-to-end learning approach to this problem. One of the main challenges we face is the hunger for data of deep neural networks. In order to obtain a significant amount of focal stacks with corresponding groundtruth depth, we propose to leverage a light-field camera with a co-calibrated RGB-D sensor. This allows us to digitally create focal stacks of varying sizes. Compared to existing benchmarks our dataset is 25 times larger, enabling the use of machine learning for this inverse problem. We compare our results with state-of-the-art DFF methods and we also analyze the effect of several key deep architectural components. These experiments show that our proposed method `DDFFNet' achieves state-of-the-art performance in all scenes, reducing depth error by more than 75% compared to the classical DFF methods.Comment: accepted to Asian Conference on Computer Vision (ACCV) 201

    The Mid-Infrared Instrument for the James Webb Space Telescope, III: MIRIM, The MIRI Imager

    Get PDF
    In this article, we describe the MIRI Imager module (MIRIM), which provides broad-band imaging in the 5 - 27 microns wavelength range for the James Webb Space Telescope. The imager has a 0"11 pixel scale and a total unobstructed view of 74"x113". The remainder of its nominal 113"x113" field is occupied by the coronagraphs and the low resolution spectrometer. We present the instrument optical and mechanical design. We show that the test data, as measured during the test campaigns undertaken at CEA-Saclay, at the Rutherford Appleton Laboratory, and at the NASA Goddard Space Flight Center, indicate that the instrument complies with its design requirements and goals. We also discuss the operational requirements (multiple dithers and exposures) needed for optimal scientific utilization of the MIRIM.Comment: 29 pages, 9 figure
    corecore