20 research outputs found

    Mitochondria-localized AMPK responds to local energetics and contributes to exercise and energetic stress-induced mitophagy

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    Mitochondria form a complex, interconnected reticulum that is maintained through coordination among biogenesis, dynamic fission, and fusion and mitophagy, which are initiated in response to various cues to maintain energetic homeostasis. These cellular events, which make up mitochondrial quality control, act with remarkable spatial precision, but what governs such spatial specificity is poorly understood. Herein, we demonstrate that specific isoforms of the cellular bioenergetic sensor, 5′ AMP-activated protein kinase (AMPKα1/α2/β2/γ1), are localized on the outer mitochondrial membrane, referred to as mitoAMPK, in various tissues in mice and humans. Activation of mitoAMPK varies across the reticulum in response to energetic stress, and inhibition of mitoAMPK activity attenuates exercise-induced mitophagy in skeletal muscle in vivo. Discovery of a mitochondrial pool of AMPK and its local importance for mitochondrial quality control underscores the complexity of sensing cellular energetics in vivo that has implications for targeting mitochondrial energetics for disease treatment

    Confocal FRET Microscopy to Measure Clustering of Ligand-Receptor Complexes in Endocytic Membranes

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    The dynamics of protein distribution in endocytic membranes are relevant for many cellular processes, such as protein sorting, organelle and membrane microdomain biogenesis, protein-protein interactions, receptor function, and signal transduction. We have developed an assay based on Fluorescence Resonance Energy Microscopy (FRET) and novel mathematical models to differentiate between clustered and random distributions of fluorophore-bound molecules on the basis of the dependence of FRET intensity on donor and acceptor concentrations. The models are tailored to extended clusters, which may be tightly packed, and account for geometric exclusion effects between membrane-bound proteins. Two main criteria are used to show that labeled polymeric IgA-ligand-receptor complexes are organized in clusters within apical endocytic membranes of polarized MDCK cells: 1), energy transfer efficiency (E%) levels are independent of acceptor levels; and 2), with increasing unquenched donor: acceptor ratio, E% decreases. A quantitative analysis of cluster density indicates that a donor-labeled ligand-receptor complex should have 2.5–3 labeled complexes in its immediate neighborhood and that clustering may occur at a limited number of discrete membrane locations and/or require a specific protein that can be saturated. Here, we present a new sensitive FRET-based method to quantify the co-localization and distribution of ligand-receptor complexes in apical endocytic membranes of polarized cells

    Energy Transfer Efficiency based on One- and Two-Photon FRET

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    We are investigating membrane-based sorting processes in polarized epithelial MDCK cells, which most likely involves membrane microdomains. We have postulated that proteins contained in these microdomains, cluster, and to prove this, we have internalized differently fluorophore labeled pIgA-R ligands in MDCK cells, stably transfected with polymeric IgA receptors (pIgA-R), from opposite plasma membranes. Our previous work showed that these receptor-ligand complexes colocalize in the apical recycling endosome (ARE), underneath the apical plasma membrane. Quantitative one-photon confocal and 2-photon (2-P) FRET microscopy allowed us to calculate energy transfer efficiency (E%). Unquenched donor levels where established based on a novel algorithm, which corrects the FRET contamination of acceptor bleed-through and donor crosstalk. Using different emission filters also confirmed the veracity of the algorithm. 2-P FRET allows the selection of a specific donor wavelength, which does not precipitate acceptor bleed-through, a clear advantage over 1-P confocal microscopy. Results show that E% is independent of acceptor levels, an indication of a clustered distribution, as in random distribution E% rises with increasing acceptor levels. However, E% decreases with increasing donor and donor:acceptor ratio levels, which we have termed donor geometric exclusion , where some donors in a cluster block others from interacting with an acceptor. We submit that this is a second indicator for a clustered pattern, because in a random, dispersed situation donors are not likely to be in close proximity to have such an effect. We have developed a model explaining this phenomenon

    Myosin-Va-dependent cell-to-cell transfer of RNA from Schwann cells to axons.

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    To better understand the role of protein synthesis in axons, we have identified the source of a portion of axonal RNA. We show that proximal segments of transected sciatic nerves accumulate newly-synthesized RNA in axons. This RNA is synthesized in Schwann cells because the RNA was labeled in the complete absence of neuronal cell bodies both in vitro and in vivo. We also demonstrate that the transfer is prevented by disruption of actin and that it fails to occur in the absence of myosin-Va. Our results demonstrate cell-to-cell transfer of RNA and identify part of the mechanism required for transfer. The induction of cell-to-cell RNA transfer by injury suggests that interventions following injury or degeneration, particularly gene therapy, may be accomplished by applying them to nearby glial cells (or implanted stem cells) at the site of injury to promote regeneration

    Three-Color Spectral FRET Microscopy Localizes Three Interacting Proteins in Living Cells

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    FRET technologies are now routinely used to establish the spatial relationships between two cellular components (A and B). Adding a third target component (C) increases the complexity of the analysis between interactions AB/BC/AC. Here, we describe a novel method for analyzing a three-color (ABC) FRET system called three-color spectral FRET (3sFRET) microscopy, which is fully corrected for spectral bleedthrough. The approach quantifies FRET signals and calculates the apparent energy transfer efficiencies (Es). The method was validated by measurement of a genetic (FRET standard) construct consisting of three different fluorescent proteins (FPs), mTFP, mVenus, and tdTomato, linked sequentially to one another. In addition, three 2-FP reference constructs, tethered in the same way as the 3-FP construct, were used to characterize the energy transfer pathways. Fluorescence lifetime measurements were employed to compare the relative relationships between the FPs in cells producing the 3-FP and 2-FP fusion proteins. The 3sFRET microscopy method was then applied to study the interactions of the dimeric transcription factor C/EBPα (expressing mTFP or mVenus) with the heterochromatin protein 1α (HP1α, expressing tdTomato) in live-mouse pituitary cells. We show how the 3sFRET microscopy method represents a promising live-cell imaging technique to monitor the interactions between three labeled cellular components

    Levels of newly-synthesized RNA decline as a function of distance from nerve injury.

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    <p><b>A</b>, low-magnification micrograph of transected end showing newly-synthesized RNA (green) and ribosomes detected by anti-P antibody (red). Bar = 100 µm. <b>B</b>, BrU-RNA signal plotted as a function of distance from the transection. Each point represents the mean of 10 nerve fragments with standard errors. <b>C–H</b>, series of images of a single fiber from the transected end, distal to proximal, showing newly-synthesized RNA labeled by BrU (green) and F-actin (red). <b>C</b>, transected end with a high concentration of newly-synthesized BrU-RNA. <b>D</b>, first proximal Schwann-cell nucleus from the tip. <b>E</b>, first node of Ranvier proximal from the tip. <b>F</b>, second Schwann cell nucleus. <b>G</b>, second node of Ranvier. <b>H</b>, third node of Ranvier. Bar = 10 µm.</p

    Most newly-synthesized axonal RNA is not mitochondrial.

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    <p>Cryosections of injured BrU-labeled (green) sciatic nerve fragments were stained for BrU <b>(A, D, G)</b> and a monoclonal antibody against the mitochondrial Complex IV Subunit I <b>(B, E, H)</b>. A paranodal axon is shown in <b>A–C</b> and nodes of Ranvier are shown in <b>D–I</b>. Mitochondria corresponding to empty spaces in A and D are designated by arrows. Bar = 5 µm.</p
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