20 research outputs found
Mitochondria-localized AMPK responds to local energetics and contributes to exercise and energetic stress-induced mitophagy
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
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
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.
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
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.
<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.
<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