LPA Receptor Activity Is Basal Specific and Coincident with Early
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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. -
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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. -
GPCR Expression Profiles Were Determined Using
Supplemental Figures and Tables for Tischner et al., 2017 Supplemental Figure 1: GPCR expression profiles were determined using the NanoString nCounter System in 250 ng of pooled cell RNA obtained from freshly isolated CD4 T cells from naïve lymph nodes (CD4ln), spinal cord infiltrating CD4 T cells at peak EAE disease (CD4sc), and primary lung endothelial cells (luEC). Supplemental Figure 2: Array design and quality controls. A, Sorted leukocytes or endothelial cells were subjected to single‐cell expression analysis and re‐evaluated based on the expression of various identity‐defining genes. B, Expression of identity‐defining and quality control genes after deletion of contaminating or reference gene‐negative cells. Expression data are calculated as 2(Limit of detection(LoD) Ct – sample Ct) ; LoD Ct was set to 24. Supplemental Figure 3: Overview over GPCR expression frequencies in different freshly isolated immune cell populations and spinal cord endothelial cells as determined by single cell RT‐PCR. Abbreviations: CD4ln‐Tcon/CD4ln‐Treg, conventional (con) and regulatory (reg) CD4 T cells from lymph nodes (CD4ln) of naïve mice; CD4dr/CD4sc, CD4 T cells from draining lymph nodes (dr) or spinal cord (sc) at peak EAE disease; CD4spn2D/ CD4spn2DTh1/ CD4spn2DTh17, splenic CD4 T cells from 2D2 T cell receptor transgenic mice before (2D) and after in vitro differentiation towards Th1 (2DTh1) or Th17 (2DTh17); MonoSpn, splenic monocytes; CD11b_sc, spinal cord infiltrating CD11b‐ positive cells; sc_microglia, Ccr2neg,Cx3cr1pos microglia from spinal cord at peak disease; sc_macrophages, CCr2pos;Cx3cr1lo/neg macrophages from spinal cord at peak disease; BMDM_M1/BMDM_M2, bone marrow‐derived macrophages differentiated towards M1 or M2; ECscN and ECscEAE, spinal cord endothelial cells from naïve mice (N) and at peak EAE disease (EAE); SMC, smooth muscle cells from various vessel types (included as positive control to ascertain primer functionality). -
Multimodal Regulation Orchestrates Normal and Complex Disease States in the Retina
Multimodal Regulation Orchestrates Normal and Complex Disease States in the Retina The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Olivares, A. M., A. S. Jelcick, J. Reinecke, B. Leehy, A. Haider, M. A. Morrison, L. Cheng, D. F. Chen, M. M. DeAngelis, and N. B. Haider. 2017. “Multimodal Regulation Orchestrates Normal and Complex Disease States in the Retina.” Scientific Reports 7 (1): 690. doi:10.1038/s41598-017-00788-3. http://dx.doi.org/10.1038/ s41598-017-00788-3. Published Version doi:10.1038/s41598-017-00788-3 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:33029769 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA www.nature.com/scientificreports OPEN Multimodal Regulation Orchestrates Normal and Complex Disease States in the Retina Received: 9 November 2016 A. M. Olivares1, A. S. Jelcick2, J. Reinecke2, B. Leehy2, A. Haider1, M. A. Morrison3, L. Cheng1, Accepted: 13 March 2017 D. F. Chen1, M. M. DeAngelis3 & N. B. Haider1 Published: xx xx xxxx Regulation of biological processes occurs through complex, synergistic mechanisms. In this study, we discovered the synergistic orchestration of multiple mechanisms regulating the normal and diseased state (age related macular degeneration, AMD) in the retina. We uncovered gene networks with overlapping feedback loops that are modulated by nuclear hormone receptors (NHR), miRNAs, and epigenetic factors. -
G Protein-Coupled Receptors
Alexander, S. P. H., Christopoulos, A., Davenport, A. P., Kelly, E., Marrion, N. V., Peters, J. A., Faccenda, E., Harding, S. D., Pawson, A. J., Sharman, J. L., Southan, C., Davies, J. A. (2017). THE CONCISE GUIDE TO PHARMACOLOGY 2017/18: G protein-coupled receptors. British Journal of Pharmacology, 174, S17-S129. https://doi.org/10.1111/bph.13878 Publisher's PDF, also known as Version of record License (if available): CC BY Link to published version (if available): 10.1111/bph.13878 Link to publication record in Explore Bristol Research PDF-document This is the final published version of the article (version of record). It first appeared online via Wiley at https://doi.org/10.1111/bph.13878 . Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2017/18: G protein-coupled receptors. British Journal of Pharmacology (2017) 174, S17–S129 THE CONCISE GUIDE TO PHARMACOLOGY 2017/18: G protein-coupled receptors Stephen PH Alexander1, Arthur Christopoulos2, Anthony P Davenport3, Eamonn Kelly4, Neil V Marrion4, John A Peters5, Elena Faccenda6, Simon D Harding6,AdamJPawson6, Joanna L Sharman6, Christopher Southan6, Jamie A Davies6 and CGTP Collaborators 1 School of Life Sciences, -
The Lysophospholipase D Enzyme Gdpd3 Is Required to Maintain
ARTICLE https://doi.org/10.1038/s41467-020-18491-9 OPEN The lysophospholipase D enzyme Gdpd3 is required to maintain chronic myelogenous leukaemia stem cells ✉ Kazuhito Naka 1 , Ryosuke Ochiai 2, Eriko Matsubara 2, Chie Kondo 2, Kyung-Min Yang 3, Takayuki Hoshii 4, Masatake Araki 5, Kimi Araki 5, Yusuke Sotomaru 6, Ko Sasaki 7, Kinuko Mitani 7, Dong-Wook Kim 8, Akira Ooshima 3 & Seong-Jin Kim 3,9,10 1234567890():,; Although advanced lipidomics technology facilitates quantitation of intracellular lipid com- ponents, little is known about the regulation of lipid metabolism in cancer cells. Here, we show that disruption of the Gdpd3 gene encoding a lysophospholipase D enzyme significantly decreased self-renewal capacity in murine chronic myelogenous leukaemia (CML) stem cells in vivo. Sophisticated lipidomics analyses revealed that Gdpd3 deficiency reduced levels of certain lysophosphatidic acids (LPAs) and lipid mediators in CML cells. Loss of Gdpd3 also activated AKT/mTORC1 signalling and cell cycle progression while suppressing Foxo3a/β-catenin interaction within CML stem cell nuclei. Strikingly, CML stem cells carrying a hypomorphic mutation of Lgr4/Gpr48, which encodes a leucine-rich repeat (LRR)-con- taining G-protein coupled receptor (GPCR) acting downstream of Gdpd3, displayed inade- quate disease-initiating capacity in vivo. Our data showing that lysophospholipid metabolism is required for CML stem cell maintenance in vivo establish a new, biologically significant mechanism of cancer recurrence that is independent of oncogene addiction. 1 Department of Stem Cell Biology, Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima 734- 8553, Japan. -
The G Protein-Coupled Receptor Heterodimer Network (GPCR-Hetnet) and Its Hub Components
Int. J. Mol. Sci. 2014, 15, 8570-8590; doi:10.3390/ijms15058570 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article The G Protein-Coupled Receptor Heterodimer Network (GPCR-HetNet) and Its Hub Components Dasiel O. Borroto-Escuela 1,†,*, Ismel Brito 1,2,†, Wilber Romero-Fernandez 1, Michael Di Palma 1,3, Julia Oflijan 4, Kamila Skieterska 5, Jolien Duchou 5, Kathleen Van Craenenbroeck 5, Diana Suárez-Boomgaard 6, Alicia Rivera 6, Diego Guidolin 7, Luigi F. Agnati 1 and Kjell Fuxe 1,* 1 Department of Neuroscience, Karolinska Institutet, Retzius väg 8, 17177 Stockholm, Sweden; E-Mails: [email protected] (I.B.); [email protected] (W.R.-F.); [email protected] (M.D.P.); [email protected] (L.F.A.) 2 IIIA-CSIC, Artificial Intelligence Research Institute, Spanish National Research Council, 08193 Barcelona, Spain 3 Department of Earth, Life and Environmental Sciences, Section of Physiology, Campus Scientifico Enrico Mattei, Urbino 61029, Italy 4 Department of Physiology, Faculty of Medicine, University of Tartu, Tartu 50411, Estonia; E-Mail: [email protected] 5 Laboratory of Eukaryotic Gene Expression and Signal Transduction (LEGEST), Ghent University, 9000 Ghent, Belgium; E-Mails: [email protected] (K.S.); [email protected] (J.D.); [email protected] (K.V.C.) 6 Department of Cell Biology, School of Science, University of Málaga, 29071 Málaga, Spain; E-Mails: [email protected] (D.S.-B.); [email protected] (A.R.) 7 Department of Molecular Medicine, University of Padova, Padova 35121, Italy; E-Mail: [email protected] † These authors contributed equally to this work. -
Adenylyl Cyclase 2 Selectively Regulates IL-6 Expression in Human Bronchial Smooth Muscle Cells Amy Sue Bogard University of Tennessee Health Science Center
University of Tennessee Health Science Center UTHSC Digital Commons Theses and Dissertations (ETD) College of Graduate Health Sciences 12-2013 Adenylyl Cyclase 2 Selectively Regulates IL-6 Expression in Human Bronchial Smooth Muscle Cells Amy Sue Bogard University of Tennessee Health Science Center Follow this and additional works at: https://dc.uthsc.edu/dissertations Part of the Medical Cell Biology Commons, and the Medical Molecular Biology Commons Recommended Citation Bogard, Amy Sue , "Adenylyl Cyclase 2 Selectively Regulates IL-6 Expression in Human Bronchial Smooth Muscle Cells" (2013). Theses and Dissertations (ETD). Paper 330. http://dx.doi.org/10.21007/etd.cghs.2013.0029. This Dissertation is brought to you for free and open access by the College of Graduate Health Sciences at UTHSC Digital Commons. It has been accepted for inclusion in Theses and Dissertations (ETD) by an authorized administrator of UTHSC Digital Commons. For more information, please contact [email protected]. Adenylyl Cyclase 2 Selectively Regulates IL-6 Expression in Human Bronchial Smooth Muscle Cells Document Type Dissertation Degree Name Doctor of Philosophy (PhD) Program Biomedical Sciences Track Molecular Therapeutics and Cell Signaling Research Advisor Rennolds Ostrom, Ph.D. Committee Elizabeth Fitzpatrick, Ph.D. Edwards Park, Ph.D. Steven Tavalin, Ph.D. Christopher Waters, Ph.D. DOI 10.21007/etd.cghs.2013.0029 Comments Six month embargo expired June 2014 This dissertation is available at UTHSC Digital Commons: https://dc.uthsc.edu/dissertations/330 Adenylyl Cyclase 2 Selectively Regulates IL-6 Expression in Human Bronchial Smooth Muscle Cells A Dissertation Presented for The Graduate Studies Council The University of Tennessee Health Science Center In Partial Fulfillment Of the Requirements for the Degree Doctor of Philosophy From The University of Tennessee By Amy Sue Bogard December 2013 Copyright © 2013 by Amy Sue Bogard. -
Continuously Active Transcriptional Programs Are Required to Build Expansive Serotonergic Axon Architectures
CONTINUOUSLY ACTIVE TRANSCRIPTIONAL PROGRAMS ARE REQUIRED TO BUILD EXPANSIVE SEROTONERGIC AXON ARCHITECTURES By LAUREN JANINE DONOVAN Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Dissertation Advisor: Evan S. Deneris Department of Neurosciences CASE WESTERN RESERVE UNIVERSITY January 2020 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of Lauren Janine Donovan candidate for the degree of Doctor of Philosophy*. Committee Chair Jerry Silver, Ph.D. Committee Member Evan Deneris, Ph.D. Committee Member Heather Broihier, Ph.D. Committee Member Ron Conlon, Ph.D. Committee Member Pola Philippidou, Ph.D. Date of Defense August 29th, 2019 *We also certify that written approval has been obtained for any proprietary material contained therein. ii TABLE OF CONTENTS List of Figures……………………………………………………………………….….vii Abstract………………………………………….………………………………..….…1 CHAPTER 1. INTRODUCTION………………………………………………...……..3 GENERAL INTRODUCTION TO SEROTONIN………………………………….….4 Serotonin: Discovery and function………………………….……………...4 Serotonin Biosynthesis…………………………..…………………………..6 Manipulation of the serotonin system in humans……………………….6 Human mutations in 5-HT related genes………………………………….9 SEROTONIN NEURON NEUROGENESIS……………..………………………….11 5-HT neuron specification……………..………………………………...…11 Development of 5-HT neurons……………..………………………………13 NEUROANATOMY……………..……………………………………………………..13 Cytoarchitecture ……………..………………………………………………13 Adult Ascending 5-HT axon projection system ………………………..14 -
Lysophosphatidic Acid Signaling in Cancer Cells: What Makes LPA So Special?
cells Review Lysophosphatidic Acid Signaling in Cancer Cells: What Makes LPA So Special? Pravita Balijepalli, Ciera C. Sitton and Kathryn E. Meier * Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA 98686, USA; [email protected] (P.B.); [email protected] (C.C.S.) * Correspondence: [email protected]; Tel.: +1-509-358-7631 Abstract: Lysophosphatidic acid (LPA) refers to a family of simple phospholipids that act as ligands for G protein-coupled receptors. While LPA exerts effects throughout the body in normal physiolog- ical circumstances, its pathological role in cancer is of great interest from a therapeutic viewpoint. The numerous LPA receptors (LPARs) are coupled to a variety of G proteins, and more than one LPAR is typically expressed on any given cell. While the individual receptors signal through conventional GPCR pathways, LPA is particularly efficacious in stimulating cancer cell proliferation and migration. This review addresses the mechanistic aspects underlying these pro-tumorigenic effects. We provide examples of LPA signaling responses in various types of cancers, with an emphasis on those where roles have been identified for specific LPARs. While providing an overview of LPAR signaling, these examples also reveal gaps in our knowledge regarding the mechanisms of LPA action at the receptor level. The current understanding of the LPAR structure and the roles of LPAR interactions with other receptors are discussed. Overall, LPARs provide insight into the potential molecular mechanisms that underlie the ability of individual GPCRs (or combinations of GPCRs) to elicit a unique spectrum of responses from their agonist ligands. -
Comparative Gene Expression Analysis of the Amygdala in Autistic Rat Models Produced by Pre- and Post-Natal Exposures to Valproic Acid
The Journal of Toxicological Sciences (J. Toxicol. Sci.) 391 Vol.38, No.3, 391-402, 2013 Toxicomics Report Comparative gene expression analysis of the amygdala in autistic rat models produced by pre- and post-natal exposures to valproic acid Atsuko Oguchi-Katayama1, Akihiko Monma2, Yuko Sekino1, Toru Moriguchi2 and Kaoru Sato1 1Laboratory of Neuropharmacology, Division of Pharmacology, National Institute of Health Sciences, 1-18-1 Kamiyoga, Setagaya-ku, Tokyo 158-8501, Japan 2Department of Food and Life Sciences, Azabu University, 1-17-71 Fuchinobe, Tyuoku, Sagamihara-shi, Kanagawa 252-5201, Japan (Received October 24, 2012; Accepted March 14, 2013) ABSTRACT — Gene expression profiles in the amygdala of juvenile rats were compared between the two autistic rat models for mechanistic insights into impaired social behavior and enhanced anxiety in autism. The rats exposed to VPA by intraperitoneal administration to their dams at embryonic day (E) 12 were used as a model for autism (E2IP), and those by subcutaneous administration at postnatal day (P) 14 (P14SC) were used as a model for regressive autism; both of the models show impaired social behavior and enhanced anxiety as symptoms. Gene expression profiles in the amygdala of the rats (E12IP and P14SC) were analyzed by microarray and compared to each other. Only two genes, Neu2 and Mt2a, showed significant changes in the same direction in both of the rat models, and there were little similari- ties in the overall gene expression profiles between them. It was considered that gene expression chang- es per se in the amygdala might be an important cause for impaired social behavior and enhanced anxiety, rather than expression changes of particular genes. -
The Identification of a Common Different Gene Expression Signature in Patients with Colorectal Cancer
Mathematical Biosciences and Engineering, 16(4): 2942–2958. DOI: 10.3934/mbe.2019145 Received: 03 January 2019 Accepted: 26 February 2019 Published: 10 April 2019 http://www.aimspress.com/journal/MBE Research article The identification of a common different gene expression signature in patients with colorectal cancer Zhongwei Zhao1#, Xiaoxi Fan1#, Lili Yang2#, Jingjing Song1, Shiji Fang1, Jianfei Tu1, Minjiang Chen1, Liyun Zheng1, Fazong Wu1, Dengke Zhang1, Xihui Ying1 and Jiansong Ji1,* 1 Department of Interventional Radiology, Zhejiang University Lishui Hospital, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Central Hospital, Lishui 323000, China 2 Department of Anesthesiology, Zhejiang University Lishui Hospital, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui Central Hospital, Lishui 323000, China #These authors contributed equally to this study. *Correspondence: Email: [email protected]; Tel: +86-13857088508. Abstract: Colorectal cancer (CRC) is one of the most common malignancies, giving rise to serious financial burden globally. This study was designed to explore the potential mechanisms implicated with CRC and identify some key biomarkers. CRC-associated gene expression dataset (GSE32323) was downloaded from GEO database. The differentially expressed genes (DEGs) were selected out based on the GEO2R tool. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were employed to search the enriched pathways of these DEGs. Additionally, a protein-protein interaction (PPI) network was also constructed to visualize interactions between these DEGs. Quantitative Real-time PCR (qPCR) was further performed to valid the top5 up-regulated and top5 down-regulated genes in patients with CRC. Finally, the survival analysis of the top5 up-regulated and top5 down-regulated genes was conducted using GEPIA, aiming to clarify their potential effects on CRC.