377 research outputs found

    Functional and Expression Analysis of a Novel Basement Membrane Degrader in Drosophila Melanogaster

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    The Srivastava Lab is focused on the identification and characterization of genes that play a role in basement membrane remodeling. Previously, we identified putative basement membrane degraders through a genetic screen. One such gene has been suggested to play a role in the maintenance of the stem cell niche in Drosophila melanogaster, but no other information about the role this gene plays in development or disease has been published. Here, data are presented from experiments utilizing Drosophila genetics and immunohistochemistry that provide important insights on the biological role of this gene. Collagenase activity was up-regulated upon overexpression of this gene, confirming it as a basement membrane degrader. Additionally, RNA in-situ hybridization experiment results showed expression in the developing imaginal discs of the 3rd instar larva tissues. Overexpression and knockdown studies further demonstrated morphological defects in a number of tissues, including the wing and the eye, and are suggestive of apoptosis. Acridine orange staining confirmed that cell death occurred when the gene was overexpressed and a cleaved caspase antibody staining indicated that process to be caspase-mediated apoptosis

    Functional and Expression Analysis of a Novel Basement Membrane Degrader in Drosophila Melanogaster

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    SNUTS is a protein coding gene present in Drosophila melanogaster whose product contains conserved domains that are present in a range of eukaryotic organisms. The SNUTS protein is made up of four domains, two Sterile Alpha Motif (SAM) domain, and two Plant Homeodomains (PHD). The biological function of SNUTS or the various domains is largely unknown. One study demonstrated that SNUTS was important for proper development of the stem cell niche. In the present study data from both overexpression and downregulation of Snuts and the resulting phenotypes are presented. Data supporting potential mechanisms resulting in the phenotype are also presented. Creation of reagents that would help us better understand the spatial and temporal localization of gene expression using RNA in-situ hybridization are documented as well. Overall this study presents a preliminary characterization of the gene Snuts

    Intrinsic tethering activity of endosomal Rab proteins.

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    Rab small G proteins control membrane trafficking events required for many processes including secretion, lipid metabolism, antigen presentation and growth factor signaling. Rabs recruit effectors that mediate diverse functions including vesicle tethering and fusion. However, many mechanistic questions about Rab-regulated vesicle tethering are unresolved. Using chemically defined reaction systems, we discovered that Vps21, a Saccharomyces cerevisiae ortholog of mammalian endosomal Rab5, functions in trans with itself and with at least two other endosomal Rabs to directly mediate GTP-dependent tethering. Vps21-mediated tethering was stringently and reversibly regulated by an upstream activator, Vps9, and an inhibitor, Gyp1, which were sufficient to drive dynamic cycles of tethering and detethering. These experiments reveal a previously undescribed mode of tethering by endocytic Rabs. In our working model, the intrinsic tethering capacity Vps21 operates in concert with conventional effectors and SNAREs to drive efficient docking and fusion

    Power Systems Design for Long Duration Ballooning

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    The Columbia Scientific Balloon Facility (CSBF) has been designing and building high-altitude balloon power systems for over 28 years. With that experience, we have found certain types of PV panels, batteries, and charge controllers that are reliable in stratospheric environments. The goal is to ensure that power systems provide power reliably throughout the duration of an Long Duration Ballooning (LDB) flight. The purpose of this presentation is to provide some general guidelines and best practices for power system design

    Observation of interstellar lithium in the low-metallicity Small Magellanic Cloud

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    The primordial abundances of light elements produced in the standard theory of Big Bang nucleosynthesis (BBN) depend only on the cosmic ratio of baryons to photons, a quantity inferred from observations of the microwave background. The predicted primordial 7Li abundance is four times that measured in the atmospheres of Galactic halo stars. This discrepancy could be caused by modification of surface lithium abundances during the stars' lifetimes or by physics beyond the Standard Model that affects early nucleosynthesis. The lithium abundance of low-metallicity gas provides an alternative constraint on the primordial abundance and cosmic evolution of lithium that is not susceptible to the in situ modifications that may affect stellar atmospheres. Here we report observations of interstellar 7Li in the low-metallicity gas of the Small Magellanic Cloud, a nearby galaxy with a quarter the Sun's metallicity. The present-day 7Li abundance of the Small Magellanic Cloud is nearly equal to the BBN predictions, severely constraining the amount of possible subsequent enrichment of the gas by stellar and cosmic-ray nucleosynthesis. Our measurements can be reconciled with standard BBN with an extremely fine-tuned depletion of stellar Li with metallicity. They are also consistent with non-standard BBN.Comment: Published in Nature. Includes main text and Supplementary Information. Replaced with final title and abstrac

    Defining Dysbiosis in Disorders of Movement and Motivation

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    The gut microbiota has emerged as a critical player in shaping and modulating brain function and has been shown to influence numerous behaviors, including anxiety and depression-like behaviors, sociability, and cognition. However, the effects of the gut microbiota on specific disorders associated with thalamo-cortico-basal ganglia circuits, ranging from compulsive behavior and addiction to altered sensation and motor output, are only recently being explored. Wholesale depletion and alteration of gut microbial communities in rodent models of disorders, such as Parkinson's disease, autism, and addiction, robustly affect movement and motivated behavior. A new frontier therefore lies in identifying specific microbial alterations that affect these behaviors and understanding the underlying mechanisms of action. Comparing alterations in gut microbiota across multiple basal-ganglia associated disease states allows for identification of common mechanistic pathways that may interact with distinct environmental and genetic risk factors to produce disease-specific outcomes

    Federated inference and belief sharing

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    This paper concerns the distributed intelligence or federated inference that emerges under belief-sharing among agents who share a common world-and world model. Imagine, for example, several animals keeping a lookout for predators. Their collective surveillance rests upon being able to communicate their beliefs-about what they see-among themselves. But, how is this possible? Here, we show how all the necessary components arise from minimising free energy. We use numerical studies to simulate the generation, acquisition and emergence of language in synthetic agents. Specifically, we consider inference, learning and selection as minimising the variational free energy of posterior (i.e., Bayesian) beliefs about the states, parameters and structure of generative models, respectively. The common theme-that attends these optimisation processes-is the selection of actions that minimise expected free energy, leading to active inference, learning and model selection (a.k.a., structure learning). We first illustrate the role of communication in resolving uncertainty about the latent states of a partially observed world, on which agents have complementary perspectives. We then consider the acquisition of the requisite language-entailed by a likelihood mapping from an agent's beliefs to their overt expression (e.g., speech)-showing that language can be transmitted across generations by active learning. Finally, we show that language is an emergent property of free energy minimisation, when agents operate within the same econiche. We conclude with a discussion of various perspectives on these phenomena; ranging from cultural niche construction, through federated learning, to the emergence of complexity in ensembles of self-organising systems

    The Sanger FASTQ file format for sequences with quality scores, and the Solexa/Illumina FASTQ variants

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    FASTQ has emerged as a common file format for sharing sequencing read data combining both the sequence and an associated per base quality score, despite lacking any formal definition to date, and existing in at least three incompatible variants. This article defines the FASTQ format, covering the original Sanger standard, the Solexa/Illumina variants and conversion between them, based on publicly available information such as the MAQ documentation and conventions recently agreed by the Open Bioinformatics Foundation projects Biopython, BioPerl, BioRuby, BioJava and EMBOSS. Being an open access publication, it is hoped that this description, with the example files provided as Supplementary Data, will serve in future as a reference for this important file format
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