Mutations in PNPLA6 Are Linked to Photoreceptor Degeneration and Various Forms of Childhood Blindness
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Lysophosphatidic Acid and Its Receptors: Pharmacology and Therapeutic Potential in Atherosclerosis and Vascular Disease
JPT-107404; No of Pages 13 Pharmacology & Therapeutics xxx (2019) xxx Contents lists available at ScienceDirect Pharmacology & Therapeutics journal homepage: www.elsevier.com/locate/pharmthera Lysophosphatidic acid and its receptors: pharmacology and therapeutic potential in atherosclerosis and vascular disease Ying Zhou a, Peter J. Little a,b, Hang T. Ta a,c, Suowen Xu d, Danielle Kamato a,b,⁎ a School of Pharmacy, University of Queensland, Pharmacy Australia Centre of Excellence, Woolloongabba, QLD 4102, Australia b Department of Pharmacy, Xinhua College of Sun Yat-sen University, Tianhe District, Guangzhou 510520, China c Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, St Lucia, QLD 4072, Australia d Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA article info abstract Available online xxxx Lysophosphatidic acid (LPA) is a collective name for a set of bioactive lipid species. Via six widely distributed G protein-coupled receptors (GPCRs), LPA elicits a plethora of biological responses, contributing to inflammation, Keywords: thrombosis and atherosclerosis. There have recently been considerable advances in GPCR signaling especially Lysophosphatidic acid recognition of the extended role for GPCR transactivation of tyrosine and serine/threonine kinase growth factor G-protein coupled receptors receptors. This review covers LPA signaling pathways in the light of new information. The use of transgenic and Atherosclerosis gene knockout animals, gene manipulated cells, pharmacological LPA receptor agonists and antagonists have Gproteins fi β-arrestins provided many insights into the biological signi cance of LPA and individual LPA receptors in the progression Transactivation of atherosclerosis and vascular diseases. -
The Autotaxin–Lysophosphatidic Acid Axis Modulates Histone Acetylation and Gene Expression During Oligodendrocyte Differentiation
The Journal of Neuroscience, August 12, 2015 • 35(32):11399–11414 • 11399 Cellular/Molecular The Autotaxin–Lysophosphatidic Acid Axis Modulates Histone Acetylation and Gene Expression during Oligodendrocyte Differentiation Natalie A. Wheeler,1 James A. Lister,2 and Babette Fuss1 Departments of 1Anatomy and Neurobiology and 2Human and Molecular Genetics, Virginia Commonwealth University School of Medicine, Richmond, Virginia 23298 During development, oligodendrocytes (OLGs), the myelinating cells of the CNS, undergo a stepwise progression during which OLG progenitors, specified from neural stem/progenitor cells, differentiate into fully mature myelinating OLGs. This progression along the OLG lineage is characterized by well synchronized changes in morphology and gene expression patterns. The latter have been found to be particularly critical during the early stages of the lineage, and they have been well described to be regulated by epigenetic mechanisms, especially by the activity of the histone deacetylases HDAC1 and HDAC2. The data presented here identify the extracellular factor autotaxin (ATX) as a novel upstream signal modulating HDAC1/2 activity and gene expression in cells of the OLG lineage. Using the zebrafish as an in vivo model system as well as rodent primary OLG cultures, this functional property of ATX was found to be mediated by its lysophospholipase D (lysoPLD) activity, which has been well characterized to generate the lipid signaling molecule lysophosphatidic acid (LPA). More specifically, the lysoPLD activity of ATX was found to modulate HDAC1/2 regulated gene expression during a time window coinciding with the transition from OLG progenitor to early differentiating OLG. In contrast, HDAC1/2 regulated gene expression during the transition from neural stem/progenitor to OLG progenitor appeared unaffected by ATX and its lysoPLD activity. -
Antibody Response Cell Antigen Receptor Signaling And
Lysophosphatidic Acid Receptor 5 Inhibits B Cell Antigen Receptor Signaling and Antibody Response This information is current as Jiancheng Hu, Shannon K. Oda, Kristin Shotts, Erin E. of September 24, 2021. Donovan, Pamela Strauch, Lindsey M. Pujanauski, Francisco Victorino, Amin Al-Shami, Yuko Fujiwara, Gabor Tigyi, Tamas Oravecz, Roberta Pelanda and Raul M. Torres J Immunol 2014; 193:85-95; Prepublished online 2 June 2014; Downloaded from doi: 10.4049/jimmunol.1300429 http://www.jimmunol.org/content/193/1/85 Supplementary http://www.jimmunol.org/content/suppl/2014/05/31/jimmunol.130042 http://www.jimmunol.org/ Material 9.DCSupplemental References This article cites 63 articles, 17 of which you can access for free at: http://www.jimmunol.org/content/193/1/85.full#ref-list-1 Why The JI? Submit online. by guest on September 24, 2021 • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2014 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Lysophosphatidic Acid Receptor 5 Inhibits B Cell Antigen Receptor Signaling and Antibody Response Jiancheng Hu,*,1,2 Shannon K. -
Survival-Associated Metabolic Genes in Colon and Rectal Cancers
Survival-associated Metabolic Genes in Colon and Rectal Cancers Yanfen Cui ( [email protected] ) Tianjin Cancer Institute: Tianjin Tumor Hospital https://orcid.org/0000-0001-7760-7503 Baoai Han tianjin tumor hospital He Zhang tianjin tumor hospital Zhiyong Wang tianjin tumor hospital Hui Liu tianjin tumor hospital Fei Zhang tianjin tumor hospital Ruifang Niu tianjin tumor hospital Research Keywords: colon cancer, rectal cancer, prognosis, metabolism Posted Date: December 4th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-117478/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/42 Abstract Background Uncontrolled proliferation is the most prominent biological feature of tumors. To rapidly proliferate and maximize the use of available nutrients, tumor cells regulate their metabolic behavior and the expression of metabolism-related genes (MRGs). In this study, we aimed to construct prognosis models for colon and rectal cancers, using MRGs to indicate the prognoses of patients. Methods We rst acquired the gene expression proles of colon and rectal cancers from the TCGA and GEO database, and utilized univariate Cox analysis, lasso regression, and multivariable cox analysis to identify MRGs for risk models. Then GSEA and KEGG functional enrichment analysis were utilized to identify the metabolism pathway of MRGs in the risk models and analyzed these genes comprehensively using GSCALite. Results Eight genes (CPT1C, PLCB2, PLA2G2D, GAMT, ENPP2, PIP4K2B, GPX3, and GSR) in the colon cancer risk model and six genes (TDO2, PKLR, GAMT, EARS2, ACO1, and WAS) in the rectal cancer risk model were identied successfully. Multivariate Cox analysis indicated that the models predicted overall survival accurately and independently for patients with colon or rectal cancer. -
Supplemental Materials Supplemental Table 1
Electronic Supplementary Material (ESI) for RSC Advances. This journal is © The Royal Society of Chemistry 2016 Supplemental Materials Supplemental Table 1. The differentially expressed proteins from rat pancreas identified by proteomics (SAP vs. SO) No. Protein name Gene name ratio P value 1 Metallothionein Mt1m 3.35 6.34E-07 2 Neutrophil antibiotic peptide NP-2 Defa 3.3 8.39E-07 3 Ilf2 protein Ilf2 3.18 1.75E-06 4 Numb isoform o/o rCG 3.12 2.73E-06 5 Lysozyme Lyz2 3.01 5.63E-06 6 Glucagon Gcg 2.89 1.17E-05 7 Serine protease HTRA1 Htra1 2.75 2.97E-05 8 Alpha 2 macroglobulin cardiac isoform (Fragment) 2.75 2.97E-05 9 Myosin IF (Predicted) Myo1f 2.65 5.53E-05 10 Neuroendocrine secretory protein 55 Gnas 2.61 7.60E-05 11 Matrix metallopeptidase 8 Mmp8 2.57 9.47E-05 12 Protein Tnks1bp1 Tnks1bp1 2.53 1.22E-04 13 Alpha-parvin Parva 2.47 1.78E-04 14 C4b-binding protein alpha chain C4bpa 2.42 2.53E-04 15 Protein KTI12 homolog Kti12 2.41 2.74E-04 16 Protein Rab11fip5 Rab11fip5 2.41 2.84E-04 17 Protein Mcpt1l3 Mcpt1l3 2.33 4.43E-04 18 Phospholipase B-like 1 Plbd1 2.33 4.76E-04 Aldehyde dehydrogenase (NAD), cytosolic 19 2.32 4.93E-04 (Fragments) 20 Protein Dpy19l2 Dpy19l2 2.3 5.68E-04 21 Regenerating islet-derived 3 alpha, isoform CRA_a Reg3a 2.27 6.74E-04 22 60S acidic ribosomal protein P1 Rplp1 2.26 7.22E-04 23 Serum albumin Alb 2.25 7.98E-04 24 Ribonuclease 4 Rnase4 2.24 8.25E-04 25 Cct-5 protein (Fragment) Cct5 2.24 8.52E-04 26 Protein S100-A9 S100a9 2.22 9.71E-04 27 Creatine kinase M-type Ckm 2.21 1.00E-03 28 Protein Larp4b Larp4b 2.18 1.25E-03 -
Phosphodiesterase (PDE)
Phosphodiesterase (PDE) Phosphodiesterase (PDE) is any enzyme that breaks a phosphodiester bond. Usually, people speaking of phosphodiesterase are referring to cyclic nucleotide phosphodiesterases, which have great clinical significance and are described below. However, there are many other families of phosphodiesterases, including phospholipases C and D, autotaxin, sphingomyelin phosphodiesterase, DNases, RNases, and restriction endonucleases, as well as numerous less-well-characterized small-molecule phosphodiesterases. The cyclic nucleotide phosphodiesterases comprise a group of enzymes that degrade the phosphodiester bond in the second messenger molecules cAMP and cGMP. They regulate the localization, duration, and amplitude of cyclic nucleotide signaling within subcellular domains. PDEs are therefore important regulators ofsignal transduction mediated by these second messenger molecules. www.MedChemExpress.com 1 Phosphodiesterase (PDE) Inhibitors, Activators & Modulators (+)-Medioresinol Di-O-β-D-glucopyranoside (R)-(-)-Rolipram Cat. No.: HY-N8209 ((R)-Rolipram; (-)-Rolipram) Cat. No.: HY-16900A (+)-Medioresinol Di-O-β-D-glucopyranoside is a (R)-(-)-Rolipram is the R-enantiomer of Rolipram. lignan glucoside with strong inhibitory activity Rolipram is a selective inhibitor of of 3', 5'-cyclic monophosphate (cyclic AMP) phosphodiesterases PDE4 with IC50 of 3 nM, 130 nM phosphodiesterase. and 240 nM for PDE4A, PDE4B, and PDE4D, respectively. Purity: >98% Purity: 99.91% Clinical Data: No Development Reported Clinical Data: No Development Reported Size: 1 mg, 5 mg Size: 10 mM × 1 mL, 10 mg, 50 mg (R)-DNMDP (S)-(+)-Rolipram Cat. No.: HY-122751 ((+)-Rolipram; (S)-Rolipram) Cat. No.: HY-B0392 (R)-DNMDP is a potent and selective cancer cell (S)-(+)-Rolipram ((+)-Rolipram) is a cyclic cytotoxic agent. (R)-DNMDP, the R-form of DNMDP, AMP(cAMP)-specific phosphodiesterase (PDE) binds PDE3A directly. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Macrophages/Microglia in the Glioblastoma Tumor Microenvironment
International Journal of Molecular Sciences Review Macrophages/Microglia in the Glioblastoma Tumor Microenvironment Jun Ma, Clark C. Chen * and Ming Li * Department of Neurosurgery, University of Minnesota, Minneapolis, MN 55455, USA; [email protected] * Correspondence: [email protected] (C.C.C.); [email protected] (M.L.) Abstract: The complex interaction between glioblastoma and its microenvironment has been rec- ognized for decades. Among various immune profiles, the major population is tumor-associated macrophage, with microglia as its localized homolog. The present definition of such myeloid cells is based on a series of cell markers. These good sentinel cells experience significant changes, facilitat- ing glioblastoma development and protecting it from therapeutic treatments. Huge, complicated mechanisms are involved during the overall processes. A lot of effort has been dedicated to crack the mysterious codes in macrophage/microglia recruiting, activating, reprogramming, and functioning. We have made our path. With more and more key factors identified, a lot of new therapeutic methods could be explored to break the ominous loop, to enhance tumor sensitivity to treatments, and to improve the prognosis of glioblastoma patients. However, it might be a synergistic system rather than a series of clear, stepwise events. There are still significant challenges before the light of truth can shine onto the field. Here, we summarize recent advances in this field, reviewing the path we have been on and where we are now. Keywords: glioblastoma; tumor microenvironment; glioblastoma-associated macrophages/microglia; macrophage; microglia Citation: Ma, J.; Chen, C.C.; Li, M. Macrophages/Microglia in the Glioblastoma Tumor Int. J. Mol. Sci. Microenvironment. 1. Glioblastoma Associated Macrophages/Microglia 2021, 22, 5775. -
The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z
REVIEW pubs.acs.org/CR The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z. Long* and Benjamin F. Cravatt* The Skaggs Institute for Chemical Biology and Department of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States CONTENTS 2.4. Other Phospholipases 6034 1. Introduction 6023 2.4.1. LIPG (Endothelial Lipase) 6034 2. Small-Molecule Hydrolases 6023 2.4.2. PLA1A (Phosphatidylserine-Specific 2.1. Intracellular Neutral Lipases 6023 PLA1) 6035 2.1.1. LIPE (Hormone-Sensitive Lipase) 6024 2.4.3. LIPH and LIPI (Phosphatidic Acid-Specific 2.1.2. PNPLA2 (Adipose Triglyceride Lipase) 6024 PLA1R and β) 6035 2.1.3. MGLL (Monoacylglycerol Lipase) 6025 2.4.4. PLB1 (Phospholipase B) 6035 2.1.4. DAGLA and DAGLB (Diacylglycerol Lipase 2.4.5. DDHD1 and DDHD2 (DDHD Domain R and β) 6026 Containing 1 and 2) 6035 2.1.5. CES3 (Carboxylesterase 3) 6026 2.4.6. ABHD4 (Alpha/Beta Hydrolase Domain 2.1.6. AADACL1 (Arylacetamide Deacetylase-like 1) 6026 Containing 4) 6036 2.1.7. ABHD6 (Alpha/Beta Hydrolase Domain 2.5. Small-Molecule Amidases 6036 Containing 6) 6027 2.5.1. FAAH and FAAH2 (Fatty Acid Amide 2.1.8. ABHD12 (Alpha/Beta Hydrolase Domain Hydrolase and FAAH2) 6036 Containing 12) 6027 2.5.2. AFMID (Arylformamidase) 6037 2.2. Extracellular Neutral Lipases 6027 2.6. Acyl-CoA Hydrolases 6037 2.2.1. PNLIP (Pancreatic Lipase) 6028 2.6.1. FASN (Fatty Acid Synthase) 6037 2.2.2. PNLIPRP1 and PNLIPR2 (Pancreatic 2.6.2. -
Protein Network Analyses of Pulmonary Endothelial Cells In
www.nature.com/scientificreports OPEN Protein network analyses of pulmonary endothelial cells in chronic thromboembolic pulmonary hypertension Sarath Babu Nukala1,8,9*, Olga Tura‑Ceide3,4,5,9, Giancarlo Aldini1, Valérie F. E. D. Smolders2,3, Isabel Blanco3,4, Victor I. Peinado3,4, Manuel Castell6, Joan Albert Barber3,4, Alessandra Altomare1, Giovanna Baron1, Marina Carini1, Marta Cascante2,7,9 & Alfonsina D’Amato1,9* Chronic thromboembolic pulmonary hypertension (CTEPH) is a vascular disease characterized by the presence of organized thromboembolic material in pulmonary arteries leading to increased vascular resistance, heart failure and death. Dysfunction of endothelial cells is involved in CTEPH. The present study describes for the frst time the molecular processes underlying endothelial dysfunction in the development of the CTEPH. The advanced analytical approach and the protein network analyses of patient derived CTEPH endothelial cells allowed the quantitation of 3258 proteins. The 673 diferentially regulated proteins were associated with functional and disease protein network modules. The protein network analyses resulted in the characterization of dysregulated pathways associated with endothelial dysfunction, such as mitochondrial dysfunction, oxidative phosphorylation, sirtuin signaling, infammatory response, oxidative stress and fatty acid metabolism related pathways. In addition, the quantifcation of advanced oxidation protein products, total protein carbonyl content, and intracellular reactive oxygen species resulted increased -
Phosphoproteomics Identify Arachidonic-Acid-Regulated Signal Transduction Pathways Modulating Macrophage Functions with Implications for Ovarian Cancer
Phosphoproteomics identify arachidonic-acid-regulated signal transduction pathways modulating macrophage functions with implications for ovarian cancer Raimund Dietze1¶, Mohamad K. Hammoud1¶, María Gómez-Serrano1, Annika Unger1, Tim Bieringer1§, Florian Finkernagel1, Anna M. Sokol2,3, Andrea Nist4, Thorsten Stiewe4, Silke Reinartz1, Viviane Ponath5, Christian Preußer5, Elke Pogge von Strandmann5, Sabine Müller- Brüsselbach1, Johannes Graumann2,3 and Rolf Müller1* 1Tranlational OncologY Group, Center for Tumor BiologY and Immunology, Philipps University, Marburg, GermanY 2Biomolecular Mass Spectrometry, Max-Planck-Institute for Heart and Lung Research, Bad Nauheim, GermanY 3The German Centre for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Max Planck Institute for Heart and Lung Research, Bad Nauheim, GermanY 4Genomics Core Facility, Philipps UniversitY, Marburg, GermanY 5Institute for Tumor Immunology, Philipps University, Marburg, GermanY §Present address: Hochschule Landshut, 84036 Landshut, GermanY ¶Equal contribution *Corresponding author: Rolf Müller, Center for Tumor Biology and Immunology (ZTI), Philipps University, Hans-Meerwein-Strasse 3, 35043 Marburg, GermanY. Email: [email protected]. Phone: +49 6421 2866236. Running title: Signaling pathways of arachidonic acid in macrophages 1 Abstract Arachidonic acid (AA) is a polYunsaturated fatty acid present at high concentrations in the ovarian cancer (OC) microenvironment and associated with a poor clinical outcome. In the present studY, we have unraveled a potential link between AA and macrophage functions. Methods: AA-triggered signal transduction was studied in primary monocyte-derived macrophages (MDMs) by phosphoproteomics, transcriptional profiling, measurement of intracellular Ca2+ accumulation and reactive oxygen species production in conjunction with bioinformatic analyses. Functional effects were investigated by actin filament staining, quantification of macropinocytosis and analysis of extracellular vesicle release. -
Lysophosphatidic Acids, Cyclic Phosphatidic Acids and Autotaxin As Promissing Targets in Therapies of Cancer and Other Diseases
Vol. 55 No. 2/2008, 227–240 on-line at: www.actabp.pl Review Lysophosphatidic acids, cyclic phosphatidic acids and autotaxin as promissing targets in therapies of cancer and other diseases Edyta Gendaszewska-Darmach Institute of Technical Biochemistry, Faculty of Biotechnology and Food Sciences, Technical University of Łódź, Łódź, Poland Received: 17 March, 2008; revised: 20 May, 2008; accepted: 30 May, 2008 available on-line: 14 June, 2008 Lysophospholipids have long been recognized as membrane phospholipid metabolites, but only recently lysophosphatidic acids (LPA) have been demonstrated to act on specific G protein-cou- pled receptors. The widespread expression of LPA receptors and coupling to several classes of G proteins allow LPA-dependent regulation of numerous processes, such as vascular development, neurogenesis, wound healing, immunity, and cancerogenesis. Lysophosphatidic acids have been found to induce many of the hallmarks of cancer including cellular processes such as prolifera- tion, survival, migration, invasion, and neovascularization. Furthermore, autotaxin (ATX), the main enzyme converting lysophosphatidylcholine into LPA was identified as a tumor cell auto- crine motility factor. On the other hand, cyclic phosphatidic acids (naturally occurring analogs of LPA generated by ATX) have anti-proliferative activity and inhibit tumor cell invasion and metastasis. Research achievements of the past decade suggest implementation of preclinical and clinical evaluation of LPA and its analogs, LPA receptors, as well as autotaxin as potential thera- peutic targets. Keywords: autotaxin/NPP2, lysophosphatidic acid, cyclic phosphatidic acid, G protein-coupled receptors INTRODUCTION small amounts of LPA associated with membrane biosynthesis, some cellular sources (such as activat- Lysophosphatidic acids (LPA; 1-acyl-2-hy- ed platelets) can produce significant amounts of ex- droxy-sn-glycero-3-phosphates) (Fig.