| Literature DB >> 32490215 |
Haruka Yamada1, Fumi Hoshino1, Qiang Lu1, Fumio Sakane1.
Abstract
Phosphatidic acid (PA) is the simplest phospholipid and is involved in the regulation of various cellular events. Recently, we developed a new PA sensor, the N-terminal region of α-synuclein (α-Syn-N). However, whether α-Syn-N can sense physiologically produced, endogenous PA remains unclear. We first established an inactive PA sensor (α-Syn-N-KQ) as a negative control by replacing all eleven lysine residues with glutamine residues. Using confocal microscopy, we next verified that α-Syn-N, but not α-Syn-N-KQ, detected PA in macrophagic phagosomes in which PA is known to be enriched, further indicating that α-Syn-N can be used as a reliable PA sensor in cells. Finally, because PA generated during neuronal differentiation is critical for neurite outgrowth, we investigated the subcellular distribution of PA using α-Syn-N. We found that α-Syn-N, but not α-Syn-N-KQ, accumulated at the peripheral regions (close to the plasma membrane) of neuronal growth cones. Experiments using a phospholipase D (PLD) inhibitor strongly suggested that PA in the peripheral regions of the growth cone was primarily produced by PLD. Our findings provide a reliable sensor of endogenous PA and novel insights into the distribution of PA during neuronal differentiation.Entities:
Keywords: DGK, diacylglycerol kinase; DMEM, Dulbecco's modified Eagle's medium; Diacylglycerol kinase; F-actin, filamentous actin; FIPI, 5-fluoro-2-indolyl deschlorohalopemide; Growth cone; LPA, lysophosphatidic acid; LPAAT, LPA acyltransferase; Lipid sensor; Myr, myristoylated; PA, phosphatidic acid; PABD, phosphatidic acid-binding domain; PC, phosphatidylcholine; PLD, phospholipase D; Phagosome; Phosphatidic acid; Phospholipase D; α-Syn, α-synuclein; α-Syn-N, N-terminal region of α-Syn; α-Synuclein
Year: 2020 PMID: 32490215 PMCID: PMC7261706 DOI: 10.1016/j.bbrep.2020.100769
Source DB: PubMed Journal: Biochem Biophys Rep ISSN: 2405-5808
Fig. 1PA binding activity of the α-Syn-N-KQ mutant. (A) Amino acid sequences and secondary structure predictions of α-Syn-N and α-Syn-N-KQ. Secondary structure predictions were calculated by Jpred 4 software (http://www.compbio.dundee.ac.uk/jpred/). H, α-helix; E, extended sheet (β-sheet); –, random coil (unstructured region). (B) The purified 6 × His-SUMO-α-Syn-N and KQ proteins were incubated with PA liposome and then separated by ultracentrifugation. SDS-PAGE (15%) was performed, and proteins were detected by anti-6 × His-tag antibody. S, supernatant; P, precipitate. (C) Binding activity was calculated as the percentage of the precipitate band intensity compared to the total band intensities. Values are presented as the mean ± SD of three independent experiments. (D) Either pAcGFP vector alone, pAcGFP-α-Syn-N or pAcGFP-α-Syn-N-KQ and either p3 × FLAG vector alone or pMyr-3 × FLAG-DGKζ were co-transfected into COS-7 cells. After 24 h, cells were stained with a mouse anti-FLAG monoclonal antibody and a goat anti-mouse IgG-Alexa Fluor 594. The localization of Myr-3 × FLAG-DGKζ, AcGFP-α-Syn-N and AcGFP-α-Syn-N-KQ was quantified using ImageJ software. Representative data from three independent experiments are shown. Scale bars, 20 μm. (E) Quantitative image analysis of α-Syn-N (n = 12) and α-Syn-N-KQ (n = 13) accumulation at the plasma membrane. Each dot shows the plasma membrane:cytosol intensity ratio. Bars, mean ± SEM. ***P < 0.001, Kolmogorov–Smirnov test.
Fig. 2Localization of α-Syn-N in macrophages during phagosome formation. (A) AcGFP alone, AcGFP-α-Syn-N or AcGFP-α-Syn-N-KQ-expressing RAW264 cells were treated with IgG-opsonized beads for 10 min. Protein localization around phagosome was quantified by ImageJ software. Representative data from three independent experiments are shown. Scale bars, 5 μm. (B) Quantitative image analysis of AcGFP alone (n = 35), AcGFP-α-Syn-N-KQ (n = 37), AcGFP-α-Syn-N (Nascent phagosomes) (n = 36) and AcGFP-α-Syn-N (Early phagosomes) (n = 32) accumulation at the phagosome. Each dot shows the phagosome:cytosol intensity ratio. Bars, mean ± SEM. ***P < 0.001, Kruskal-Wallis followed by Dunn's multiple comparison tests.
Fig. 3Localization of α-Syn-N in neuronal growth cones. (A) Localization of AcGFP alone, AcGFP-α-Syn-N or AcGFP-α-Syn-N-KQ in the growth cone of Neuro-2a cells. Cells were stained with phalloidin, which recognizes F-actin. Representative data from three independent experiments are shown. Scale bars, 5 μm. (B) Quantitative image analysis of AcGFP alone (n = 28), AcGFP-α-Syn-N-KQ (n = 27) and AcGFP-α-Syn-N (n = 30) accumulation at the plasma membrane. Protein localization was quantified by ImageJ software. Each dot shows the plasma membrane:cytosol intensity ratio. Bars, mean ± SEM. ***P < 0.001, Kruskal-Wallis followed by Dunn's multiple comparison tests.
Fig. 4Effect of a PLD inhibitor on α-Syn-N localization at the growth cone. (A) Neuro-2a cells were cultured in serum-free DMEM for 48 h and then treated with either 750 nM FIPI or DMSO for 4 h. The localization of AcGFP-α-Syn-N in the growth cone of Neuro-2a cells was observed. Protein localization was quantified by ImageJ software. Representative data from three independent experiments are shown. Scale bars, 5 μm. (B) Quantitative image analysis of AcGFP-α-Syn-N accumulation at the plasma membrane (peripheral regions) in the absence (n = 23) and presence (n = 22) of FIPI. Each dot shows the plasma membrane:cytosol intensity ratio. Bars, mean ± SEM. ***P < 0.001, Kolmogorov–Smirnov test.