PI4P-signaling pathway for the synthesis of a nascent membrane structure in selective autophagy

Phosphoinositides regulate a wide range of cellular activities, including membrane trafficking and biogenesis, via interaction with various effector proteins that contain phosphoinositide binding motifs. We show that in the yeast Pichia pastoris, phosphatidylinositol 4'-monophosphate (PI4P) initiates de novo membrane synthesis that is required for peroxisome degradation by selective autophagy and that this PI4P signaling is modulated by an ergosterol-converting PpAtg26 (autophagy-related) protein harboring a novel PI4P binding GRAM (glucosyltransferase, Rab-like GTPase activators, and myotubularins) domain. A phosphatidylinositol-4-OH kinase, PpPik1, is the primary source of PI4P. PI4P concentrated in a protein-lipid nucleation complex recruits PpAtg26 through an interaction with the GRAM domain. Sterol conversion by PpAtg26 at the nucleation complex is necessary for elongation and maturation of the membrane structure. This study reveals the role of the PI4P-signaling pathway in selective autophagy, a process comprising multistep molecular events that lead to the de novo membrane formation.     

Secretion of L-glutamate from osteoclasts through transcytosis

Osteoclasts are involved in the catabolism of the bone matrix and eliminate the resulting degradation products through transcytosis, but the molecular mechanism and regulation of transcytosis remain poorly understood. Upon differentiation, osteoclasts express vesicular glutamate transporter 1 (VGLUT1), which is essential for vesicular storage and subsequent exocytosis of glutamate in neurons. VGLUT1 is localized in transcytotic vesicles and accumulates L-glutamate. Osteoclasts secrete L-glutamate and the bone degradation products upon stimulation with KCl or ATP in a Ca2+-dependent manner. KCl- and ATP-dependent secretion of L-glutamate was absent in osteoclasts prepared from VGLUT1-/- knockout mice. Osteoclasts express mGluR8, a class III metabotropic glutamate receptor. Its stimulation by a specific agonist inhibits secretion of L-glutamate and bone degradation products, whereas its suppression by a specific antagonist stimulates bone resorption. Finally, it was found that VGLUT1-/- mice develop osteoporosis. Thus, in bone-resorbing osteoclasts, L-glutamate and bone degradation products are secreted through transcytosis and the released L-glutamate is involved in autoregulation of transcytosis. Glutamate signaling may play an important role in the bone homeostasis.     

Structural bases of transfer RNA-dependent amino acid recognition and activation by glutamyl-tRNA synthetase

Glutamyl-tRNA synthetase (GluRS) is one of the aminoacyl-tRNA synthetases that require the cognate tRNA for specific amino acid recognition and activation. We analyzed the role of tRNA in amino acid recognition by crystallography. In the GluRS*tRNA(Glu)*Glu structure, GluRS and tRNA(Glu) collaborate to form a highly complementary L-glutamate-binding site. This collaborative site is functional, as it is formed in the same manner in pretransition-state mimic, GluRS*tRNA(Glu)*ATP*Eol (a glutamate analog), and posttransition-state mimic, GluRS*tRNA(Glu)*ESA (a glutamyl-adenylate analog) structures. In contrast, in the GluRS*Glu structure, only GluRS forms the amino acid-binding site, which is defective and accounts for the binding of incorrect amino acids, such as D-glutamate and L-glutamine. Therefore, tRNA(Glu) is essential for formation of the completely functional binding site for L-glutamate. These structures, together with our previously described structures, reveal that tRNA plays a crucial role in accurate positioning of both L-glutamate and ATP, thus driving the amino acid activation.     

PKCdelta inhibits PKCalpha-mediated activation of phospholipase D1 in a manner independent of its protein kinase activity

The regulation of phospholipase D1 (PLD1) by protein kinase C (PKC) isoforms was analyzed in human melanoma cell lines. 12-O-Tetradecanoylphorbol-13-acetate (TPA)-induced PLD1 activation was suppressed by the introduction of PKCdelta as well as its kinase-negative mutant in MeWo cells, which contain PKCalpha but lack PKCbeta. PLD activity was not affected by PKCdelta in G361 cells, which have PKCbeta but are deficient in PKCalpha. In MeWo cells introduced by PKCalpha and PLD1, the association of these proteins was observed, which was enhanced by the TPA treatment. In cells overexpressing PKCdelta in addition to PKCalpha and PLD1, TPA treatment increased the association of PKCdelta and PLD1, while it attenuated the association of PKCalpha and PLD1. These results indicate that PKCdelta inhibits TPA-induced PLD1 activation mediated by PKCalpha through the association with PLD1.     

Development and evaluation of an automated workstation for single nucleotide polymorphism discrimination using bacterial magnetic particles

We designed an automated workstation for magnetic particle-based single nucleotide polymorphism (SNP) discrimination of ALDH genotypes. Bacterial magnetic particles (BMPs) extracted from Magnetospirillum magneticum AMB-1 were used as DNA carriers. The principle for SNP discrimination in this study was based on fluorescence resonance energy transfer (FRET) between FITC (donor) and POPO-3 (acceptor) bound to double-stranded DNA. The workstation is equipped with a 96-way automated pipetter which collects and dispenses fluids as it moves in x- and z-directions. The platform contains a disposable tip rack station, a reagent vessel serving as a stock for POPO-3 and FITC-labeled probes and a reaction station for a 96-well microtiter plate. BMPs were collected by attaching a neodymium iron boron sintered (Nd-Fe-B) magnet on the bottom of the microtiter plate. This system permits the simultaneous heating and magnetic separation of 96 samples per assay. The genotypes ALDH2*1 and ALDH2*2 were discriminated by calculating the relative fluorescence intensities on BMPs.     

Strategic compartmentalization of Toll-like receptor 4 in the mouse gut

Pattern recognition receptors (PRRs), which include the Toll-like receptors (TLRs), are involved in the innate immune response to infection. TLR4 is a model for the TLR family and is the main LPS receptor. We wanted to determine the expression of TLR4 and compare it with that of TLR2 and CD14 along the gastrointestinal mucosa of normal and colitic BALB/c mice. Colitis was induced with 2.5% dextran sodium sulfate (DSS). Mucosa from seven segments of the digestive tract (stomach, small intestine in three parts, and colon in three parts) was isolated by two different methods. Mucosal TLR4, CD14, TLR2, MyD88, and IL-1beta mRNA were semiquantified by Northern blotting. TLR4 protein was determined by Western blotting. TLR4/MD-2 complex and CD14 were evaluated by immunohistochemistry. PRR genes were constitutively expressed and were especially stronger in colon. TLR4 and CD14 mRNA were increased in the distal colon, but TLR2 mRNA was expressed more strongly in the proximal colon, and MyD88 had a uniform expression throughout the gut. Accordingly, TLR4 and CD14 protein levels were higher in the distal colon. TLR4/MD-2 and CD14 were localized at crypt bottom epithelial cells. TLR4/MD2, but not CD14, was found in mucosal mononuclear cells. Finally, DSS-induced inflammation was localized in the distal colon. All genes studied were up-regulated during DSS-induced inflammation, but the normal colon-stressed gut distribution was preserved. Our findings demonstrate that TLR4, CD14, and TLR2 are expressed in a compartmentalized manner in the mouse gut and provide novel information about the in vivo localization of PRRs.     

Gene interaction in DNA microarray data is decomposed by information geometric measure

MOTIVATION: Given the vast amount of gene expression data, it is essential to develop a simple and reliable method of investigating the fine structure of gene interaction. We show how an information geometric measure achieves this. RESULTS: We introduce an information geometric measure of binary random vectors and show how this measure reveals the fine structure of gene interaction. In particular, we propose an iterative procedure by using this measure (called IPIG). The procedure finds higher-order dependencies which may underlie the interaction between two genes of interest. To demonstrate the method, we investigate the interaction between the two genes of interest in the data from human acute lymphoblastic leukemia cells. The method successfully discovered biologically known findings and also selected other genes as hidden causes that constitute the interaction. AVAILABILITY: Softwares are currently not available but are possibly made available in future at http://www.mns.brain.riken.go.jp/~nakahara/DNA_pub.html where all the related information is also linked.