Lysophosphatidic Acid Signaling in Cancer Cells: What Makes LPA So Special?
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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. -
Genome-Wide Prediction of Small Molecule Binding to Remote
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.04.236729; this version posted August 5, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Genome-wide Prediction of Small Molecule Binding 2 to Remote Orphan Proteins Using Distilled Sequence 3 Alignment Embedding 1 2 3 4 4 Tian Cai , Hansaim Lim , Kyra Alyssa Abbu , Yue Qiu , 5,6 1,2,3,4,7,* 5 Ruth Nussinov , and Lei Xie 1 6 Ph.D. Program in Computer Science, The Graduate Center, The City University of New York, New York, 10016, USA 2 7 Ph.D. Program in Biochemistry, The Graduate Center, The City University of New York, New York, 10016, USA 3 8 Department of Computer Science, Hunter College, The City University of New York, New York, 10065, USA 4 9 Ph.D. Program in Biology, The Graduate Center, The City University of New York, New York, 10016, USA 5 10 Computational Structural Biology Section, Basic Science Program, Frederick National Laboratory for Cancer Research, 11 Frederick, MD 21702, USA 6 12 Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel 13 Aviv, Israel 7 14 Helen and Robert Appel Alzheimer’s Disease Research Institute, Feil Family Brain & Mind Research Institute, Weill 15 Cornell Medicine, Cornell University, New York, 10021, USA * 16 [email protected] 17 July 27, 2020 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.04.236729; this version posted August 5, 2020. -
Edinburgh Research Explorer
Edinburgh Research Explorer International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list Citation for published version: Davenport, AP, Alexander, SPH, Sharman, JL, Pawson, AJ, Benson, HE, Monaghan, AE, Liew, WC, Mpamhanga, CP, Bonner, TI, Neubig, RR, Pin, JP, Spedding, M & Harmar, AJ 2013, 'International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list: recommendations for new pairings with cognate ligands', Pharmacological reviews, vol. 65, no. 3, pp. 967-86. https://doi.org/10.1124/pr.112.007179 Digital Object Identifier (DOI): 10.1124/pr.112.007179 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Pharmacological reviews Publisher Rights Statement: U.S. Government work not protected by U.S. copyright General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 1521-0081/65/3/967–986$25.00 http://dx.doi.org/10.1124/pr.112.007179 PHARMACOLOGICAL REVIEWS Pharmacol Rev 65:967–986, July 2013 U.S. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
In Amyotrophic Lateral Sclerosis
ORIGINAL RESEARCH published: 25 March 2021 doi: 10.3389/fncel.2021.600872 Dual Role of Lysophosphatidic Acid Receptor 2 (LPA2) in Amyotrophic Lateral Sclerosis Maria Puigdomenech-Poch 1,2, Anna Martínez-Muriana 1, Pol Andrés-Benito 2,3, Isidre Ferrer 2,3, Jerold Chun 4 and Rubèn López-Vales 1,2* 1Departament de Biologia Cellular, Fisiologia i Immunologia, Institut de Neurociències, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Universitat Autònoma de Barcelona, Bellaterra, Spain, 2Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain, 3Departament de Patologia i Terapèutica Experimental, Hospital Universitari de Bellvitge, IDIBELL, L’Hospitalet de Llobregat, Universitat de Barcelona, Barcelona, Spain, 4Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, United States Lysophosphatidic acid (LPA) is a pleiotropic extracellular lipid mediator with many Edited by: Ertugrul Kilic, physiological functions that signal through six known G protein-coupled receptors Istanbul Medipol University, Turkey (LPA1–6). In the central nervous system (CNS), LPA mediates a wide range of effects Reviewed by: including neural progenitor cell physiology, neuronal cell death, axonal retraction, and Savina Apolloni, inflammation. Since inflammation is a hallmark of most neurological conditions, we University of Rome Tor Vergata, Italy Mustafa Caglar Beker, hypothesized that LPA could be involved in the physiopathology of amyotrophic lateral Istanbul Medipol University, Turkey sclerosis (ALS). We found that LPA2 RNA was upregulated in post-mortem spinal cord *Correspondence: samples of ALS patients and in the sciatic nerve and skeletal muscle of SOD1G93A Rubèn López-Vales [email protected] mouse, the most widely used ALS mouse model. -
Targeting Lysophosphatidic Acid in Cancer: the Issues in Moving from Bench to Bedside
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by IUPUIScholarWorks cancers Review Targeting Lysophosphatidic Acid in Cancer: The Issues in Moving from Bench to Bedside Yan Xu Department of Obstetrics and Gynecology, Indiana University School of Medicine, 950 W. Walnut Street R2-E380, Indianapolis, IN 46202, USA; [email protected]; Tel.: +1-317-274-3972 Received: 28 August 2019; Accepted: 8 October 2019; Published: 10 October 2019 Abstract: Since the clear demonstration of lysophosphatidic acid (LPA)’s pathological roles in cancer in the mid-1990s, more than 1000 papers relating LPA to various types of cancer were published. Through these studies, LPA was established as a target for cancer. Although LPA-related inhibitors entered clinical trials for fibrosis, the concept of targeting LPA is yet to be moved to clinical cancer treatment. The major challenges that we are facing in moving LPA application from bench to bedside include the intrinsic and complicated metabolic, functional, and signaling properties of LPA, as well as technical issues, which are discussed in this review. Potential strategies and perspectives to improve the translational progress are suggested. Despite these challenges, we are optimistic that LPA blockage, particularly in combination with other agents, is on the horizon to be incorporated into clinical applications. Keywords: Autotaxin (ATX); ovarian cancer (OC); cancer stem cell (CSC); electrospray ionization tandem mass spectrometry (ESI-MS/MS); G-protein coupled receptor (GPCR); lipid phosphate phosphatase enzymes (LPPs); lysophosphatidic acid (LPA); phospholipase A2 enzymes (PLA2s); nuclear receptor peroxisome proliferator-activated receptor (PPAR); sphingosine-1 phosphate (S1P) 1. -
A Benchmarking Study on Virtual Ligand Screening Against Homology Models of Human Gpcrs
bioRxiv preprint doi: https://doi.org/10.1101/284075; this version posted March 19, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. A benchmarking study on virtual ligand screening against homology models of human GPCRs Victor Jun Yu Lima,b, Weina Dua, Yu Zong Chenc, Hao Fana,d aBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, Matrix No. 07-01, 138671, Singapore; bSaw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, 117549, Singapore; cDepartment of Pharmacy, National University of Singapore, 18 Science Drive 4, 117543, Singapore; dDepartment of Biological Sciences, National University of Singapore, 16 Science Drive 4, Singapore 117558 To whom correspondence should be addressed: Dr. Hao Fan, Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis Street, Matrix No. 07-01, 138671, Singapore; Telephone: +65 64788500; Email: [email protected] Keywords: G-protein-coupled receptor, GPCR, X-ray crystallography, virtual screening, homology modelling, consensus enrichment 1 bioRxiv preprint doi: https://doi.org/10.1101/284075; this version posted March 19, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract G-protein-coupled receptor (GPCR) is an important target class of proteins for drug discovery, with over 27% of FDA-approved drugs targeting GPCRs. However, being a membrane protein, it is difficult to obtain the 3D crystal structures of GPCRs for virtual screening of ligands by molecular docking. -
Supplementary Table S5. Differentially Expressed Gene Lists of PD-1High CD39+ CD8 Tils According to 4-1BB Expression Compared to PD-1+ CD39- CD8 Tils
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Immunother Cancer Supplementary Table S5. Differentially expressed gene lists of PD-1high CD39+ CD8 TILs according to 4-1BB expression compared to PD-1+ CD39- CD8 TILs Up- or down- regulated genes in Up- or down- regulated genes Up- or down- regulated genes only PD-1high CD39+ CD8 TILs only in 4-1BBneg PD-1high CD39+ in 4-1BBpos PD-1high CD39+ CD8 compared to PD-1+ CD39- CD8 CD8 TILs compared to PD-1+ TILs compared to PD-1+ CD39- TILs CD39- CD8 TILs CD8 TILs IL7R KLRG1 TNFSF4 ENTPD1 DHRS3 LEF1 ITGA5 MKI67 PZP KLF3 RYR2 SIK1B ANK3 LYST PPP1R3B ETV1 ADAM28 H2AC13 CCR7 GFOD1 RASGRP2 ITGAX MAST4 RAD51AP1 MYO1E CLCF1 NEBL S1PR5 VCL MPP7 MS4A6A PHLDB1 GFPT2 TNF RPL3 SPRY4 VCAM1 B4GALT5 TIPARP TNS3 PDCD1 POLQ AKAP5 IL6ST LY9 PLXND1 PLEKHA1 NEU1 DGKH SPRY2 PLEKHG3 IKZF4 MTX3 PARK7 ATP8B4 SYT11 PTGER4 SORL1 RAB11FIP5 BRCA1 MAP4K3 NCR1 CCR4 S1PR1 PDE8A IFIT2 EPHA4 ARHGEF12 PAICS PELI2 LAT2 GPRASP1 TTN RPLP0 IL4I1 AUTS2 RPS3 CDCA3 NHS LONRF2 CDC42EP3 SLCO3A1 RRM2 ADAMTSL4 INPP5F ARHGAP31 ESCO2 ADRB2 CSF1 WDHD1 GOLIM4 CDK5RAP1 CD69 GLUL HJURP SHC4 GNLY TTC9 HELLS DPP4 IL23A PITPNC1 TOX ARHGEF9 EXO1 SLC4A4 CKAP4 CARMIL3 NHSL2 DZIP3 GINS1 FUT8 UBASH3B CDCA5 PDE7B SOGA1 CDC45 NR3C2 TRIB1 KIF14 TRAF5 LIMS1 PPP1R2C TNFRSF9 KLRC2 POLA1 CD80 ATP10D CDCA8 SETD7 IER2 PATL2 CCDC141 CD84 HSPA6 CYB561 MPHOSPH9 CLSPN KLRC1 PTMS SCML4 ZBTB10 CCL3 CA5B PIP5K1B WNT9A CCNH GEM IL18RAP GGH SARDH B3GNT7 C13orf46 SBF2 IKZF3 ZMAT1 TCF7 NECTIN1 H3C7 FOS PAG1 HECA SLC4A10 SLC35G2 PER1 P2RY1 NFKBIA WDR76 PLAUR KDM1A H1-5 TSHZ2 FAM102B HMMR GPR132 CCRL2 PARP8 A2M ST8SIA1 NUF2 IL5RA RBPMS UBE2T USP53 EEF1A1 PLAC8 LGR6 TMEM123 NEK2 SNAP47 PTGIS SH2B3 P2RY8 S100PBP PLEKHA7 CLNK CRIM1 MGAT5 YBX3 TP53INP1 DTL CFH FEZ1 MYB FRMD4B TSPAN5 STIL ITGA2 GOLGA6L10 MYBL2 AHI1 CAND2 GZMB RBPJ PELI1 HSPA1B KCNK5 GOLGA6L9 TICRR TPRG1 UBE2C AURKA Leem G, et al. -
G-Protein-Coupled Receptor Signaling and Polarized Actin Dynamics Drive
RESEARCH ARTICLE elifesciences.org G-protein-coupled receptor signaling and polarized actin dynamics drive cell-in-cell invasion Vladimir Purvanov, Manuel Holst, Jameel Khan, Christian Baarlink, Robert Grosse* Institute of Pharmacology, University of Marburg, Marburg, Germany Abstract Homotypic or entotic cell-in-cell invasion is an integrin-independent process observed in carcinoma cells exposed during conditions of low adhesion such as in exudates of malignant disease. Although active cell-in-cell invasion depends on RhoA and actin, the precise mechanism as well as the underlying actin structures and assembly factors driving the process are unknown. Furthermore, whether specific cell surface receptors trigger entotic invasion in a signal-dependent fashion has not been investigated. In this study, we identify the G-protein-coupled LPA receptor 2 (LPAR2) as a signal transducer specifically required for the actively invading cell during entosis. We find that 12/13G and PDZ-RhoGEF are required for entotic invasion, which is driven by blebbing and a uropod-like actin structure at the rear of the invading cell. Finally, we provide evidence for an involvement of the RhoA-regulated formin Dia1 for entosis downstream of LPAR2. Thus, we delineate a signaling process that regulates actin dynamics during cell-in-cell invasion. DOI: 10.7554/eLife.02786.001 Introduction Entosis has been described as a specialized form of homotypic cell-in-cell invasion in which one cell actively crawls into another (Overholtzer et al., 2007). Frequently, this occurs between tumor cells such as breast, cervical, or colon carcinoma cells and can be triggered by matrix detachment (Overholtzer et al., 2007), suggesting that loss of integrin-mediated adhesion may promote cell-in-cell invasion. -
Supplementary Material
Supplementary Material Table S1: Significant downregulated KEGGs pathways identified by DAVID following exposure to five cinnamon- based phenylpropanoids (p < 0.05). p-value Term: Genes (Benjamini) Cytokine-cytokine receptor interaction: FASLG, TNFSF14, CXCL11, IL11, FLT3LG, CCL3L1, CCL3L3, CXCR6, XCR1, 2.43 × 105 RTEL1, CSF2RA, TNFRSF17, TNFRSF14, CCNL2, VEGFB, AMH, TNFRSF10B, INHBE, IFNB1, CCR3, VEGFA, CCR2, IL12A, CCL1, CCL3, CXCL5, TNFRSF25, CCR1, CSF1, CX3CL1, CCL7, CCL24, TNFRSF1B, IL12RB1, CCL21, FIGF, EPO, IL4, IL18R1, FLT1, TGFBR1, EDA2R, HGF, TNFSF8, KDR, LEP, GH2, CCL13, EPOR, XCL1, IFNA16, XCL2 Neuroactive ligand-receptor interaction: OPRM1, THRA, GRIK1, DRD2, GRIK2, TACR2, TACR1, GABRB1, LPAR4, 9.68 × 105 GRIK5, FPR1, PRSS1, GNRHR, FPR2, EDNRA, AGTR2, LTB4R, PRSS2, CNR1, S1PR4, CALCRL, TAAR5, GABRE, PTGER1, GABRG3, C5AR1, PTGER3, PTGER4, GABRA6, GABRA5, GRM1, PLG, LEP, CRHR1, GH2, GRM3, SSTR2, Chlorogenic acid Chlorogenic CHRM3, GRIA1, MC2R, P2RX2, TBXA2R, GHSR, HTR2C, TSHR, LHB, GLP1R, OPRD1 Hematopoietic cell lineage: IL4, CR1, CD8B, CSF1, FCER2, GYPA, ITGA2, IL11, GP9, FLT3LG, CD38, CD19, DNTT, 9.29 × 104 GP1BB, CD22, EPOR, CSF2RA, CD14, THPO, EPO, HLA-DRA, ITGA2B Cytokine-cytokine receptor interaction: IL6ST, IL21R, IL19, TNFSF15, CXCR3, IL15, CXCL11, TGFB1, IL11, FLT3LG, CXCL10, CCR10, XCR1, RTEL1, CSF2RA, IL21, CCNL2, VEGFB, CCR8, AMH, TNFRSF10C, IFNB1, PDGFRA, EDA, CXCL5, TNFRSF25, CSF1, IFNW1, CNTFR, CX3CL1, CCL5, TNFRSF4, CCL4, CCL27, CCL24, CCL25, CCL23, IFNA6, IFNA5, FIGF, EPO, AMHR2, IL2RA, FLT4, TGFBR2, EDA2R, -
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 -
And LPA 3-Mediated Recruitment of Leukocytes In
Supplemental Material can be found at: http://www.jlr.org/content/suppl/2011/04/26/jlr.M008045.DC1 .html ␣ TNF- promotes LPA1 - and LPA3 -mediated recruitment of leukocytes in vivo through CXCR2 ligand chemokines Chenqi Zhao , 1, * Anne Sardella , 1, * Jerold Chun , † Patrice E. Poubelle , * Maria J. Fernandes , * and Sylvain G. Bourgoin 2, * Rheumatology and Immunology Research Center,* CHUQ-CHUL Research Center and Faculty of † Medicine, Laval University , Québec City, Québec, Canada ; and Department of Molecular Biology, The Scripps Research Institute , La Jolla, CA Downloaded from Abstract Lysophosphatidic acid (LPA) is a bioactive lyso- Lysophosphatidic acid (LPA) is a simple lipid with a sin- phospholipid present in low concentrations in serum and gle fatty acyl chain, a glycerol backbone, and a free phos- biological fl uids but in high concentrations at sites of infl am- phate group ( 1 ). Despite the simplicity of its structure, www.jlr.org mation. LPA evokes a variety of cellular responses via binding LPA has been implicated in various physiological (cell to and activation of its specifi c G protein-coupled receptors growth, differentiation, migration, and survival) and path- (GPCR), namely LPA1-6 . Even though LPA is a chemoattrac- tant for infl ammatory cells in vitro, such a role for LPA in ological (angiogenesis, cancer, and autoimmunity) situa- at Kresge Library, The Scripps Research Institute, on November 14, 2012 vivo remains largely unexplored. In the present study, we tions. LPA is present in micromolar concentrations in used the murine air pouch model to study LPA-mediated serum and biological fl uids and in higher concentrations leukocyte recruitment in vivo using selective LPA receptor at sites of infl ammation and tumor ( 2 ).