Quantitative fluorescence imaging reveals point of release for lipoproteins during LDLR-dependent uptake.

The LDL receptor (LDLR) supports efficient uptake of both LDL and VLDL remnants by binding lipoprotein at the cell surface, internalizing lipoprotein through coated pits, and releasing lipoprotein in endocytic compartments before returning to the surface for further rounds of uptake. While many aspects of lipoprotein binding and receptor entry are well understood, it is less clear where, when, and how the LDLR releases lipoprotein. To address these questions, the current study employed quantitative fluorescence imaging to visualize the uptake and endosomal processing of LDL and the VLDL remnant ß-VLDL. We find that lipoprotein release is rapid, with most release occurring prior to entry of lipoprotein into early endosomes. Published biochemical studies have identified two mechanisms of lipoprotein release: one that involves the ß-propeller module of the LDLR and a second that is independent of this module. Quantitative imaging comparing uptake supported by the normal LDLR or by an LDLR variant incapable of ß-propeller-dependent release shows that the ß-propeller-independent process is sufficient for release for both lipoproteins but that the ß-propeller process accelerates both LDL and ß-VLDL release. Together these findings define where, when, and how lipoprotein release occurs and provide a generalizable methodology for visualizing endocytic handling in situ.

S-nitrosylation of ARH is required for LDL uptake by the LDL receptor.

The LDL receptor (LDLR) relies upon endocytic adaptor proteins for internalization of lipoproteins. The results of this study show that the LDLR adaptor autosomal recessive hypercholesterolemia protein (ARH) requires nitric oxide to support LDL uptake. Nitric oxide nitrosylates ARH at C199 and C286, and these posttranslational modifications are necessary for association of ARH with the adaptor protein 2 (AP-2) component of clathrin-coated pits. In the absence of nitrosylation, ARH is unable to target LDL-LDLR complexes to coated pits, resulting in poor LDL uptake. The role of nitric oxide on LDLR function is specific for ARH because inhibition of nitric oxide synthase activity impairs ARH-supported LDL uptake but has no effect on other LDLR-dependent lipoprotein uptake processes, including VLDL remnant uptake and dab2-supported LDL uptake. These findings suggest that cells that depend upon ARH for LDL uptake can control which lipoproteins are internalized by their LDLRs through changes in nitric oxide.

Quantitative fluorescence co-localization to study protein-receptor complexes.

Fluorescence microscopy can be used to assess quantitatively the interaction between a ligand and its receptor, between two macromolecules, or between a macromolecule and a particular intracellular compartment by co-localization analysis. In general, this analysis involves tagging potential interacting partners with distinct fluorophores-by direct labeling of a small ligand, by expression of fluorescent cDNA constructs, by immunofluorescence labeling, or by some combination of these methods. Pairwise comparison of the fluorescence intensity of the two fluorophores at each pixel in a two channel digital image of the sample reveals regions where both are present. With appropriate protocols, the image data can be interpreted to indicate where the potential interacting partners are co-localized. Keeping in mind the limited resolution of the light microscope, co-localization is often used to support the claim that two molecules are interacting.All quantitative methods for evaluating co-localization begin with identifying the pixels where the intensities of both color channels are above background. Typically this involves two sequential image segmentation steps: the first to exclude pixels where neither channel is above background, and the second to set overlap thresholds that exclude pixels where only one color channel is present. Following segmentation, various quantitative measures can be computed to describe the remaining subset of pixels where the two color channels overlap. These metrics range from simple calculation of the fraction of pixels where overlap occurs to more sophisticated image correlation metrics. Additional constraints may be employed to distinguish true co-localization from random overlap. Finally, an image map showing only the co-localized pixels may be displayed as an additional image channel in order to visualize the spatial distribution of co-localized pixels. Several commercial and open source software solutions provide this type of co-localization analysis, making image segmentation and calculation of metrics relatively straightforward. As an example, we provide a protocol for the time-dependent co-localization of fluorescently tagged lipoproteins with LDL receptor (LDLR) and with the early endosome marker EEA1.

Cavin-3 dictates the balance between ERK and Akt signaling.

Cavin-3 is a tumor suppressor protein of unknown function. Using both in vivo and in vitro approaches, we show that cavin-3 dictates the balance between ERK and Akt signaling. Loss of cavin-3 increases Akt signaling at the expense of ERK, while gain of cavin-3 increases ERK signaling at the expense Akt. Cavin-3 facilitates signal transduction to ERK by anchoring caveolae to the membrane skeleton of the plasma membrane via myosin-1c. Caveolae are lipid raft specializations that contain an ERK activation module and loss of the cavin-3 linkage reduces the abundance of caveolae, thereby separating this ERK activation module from signaling receptors. Loss of cavin-3 promotes Akt signaling through suppression of EGR1 and PTEN. The in vitro consequences of the loss of cavin-3 include induction of Warburg metabolism (aerobic glycolysis), accelerated cell proliferation, and resistance to apoptosis. The in vivo consequences of cavin-3 knockout are increased lactate production and cachexia. DOI:http://dx.doi.org/10.7554/eLife.00905.001.