Roles of PDGF in Animal Development Renée V
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Structural and Functional Properties of Platelet-Derived Growth Factor and Stem Cell Factor Receptors
Downloaded from http://cshperspectives.cshlp.org/ on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Structural and Functional Properties of Platelet-Derived Growth Factor and Stem Cell Factor Receptors Carl-Henrik Heldin and Johan Lennartsson Ludwig Institute for Cancer Research, Uppsala University, SE-751 24 Uppsala, Sweden Correspondence: [email protected] The receptors for platelet-derived growth factor (PDGF) and stem cell factor (SCF) are members of the type III class of PTK receptors, which are characterized by five Ig-like domains extracellularly and a split kinase domain intracellularly. The receptors are activated by ligand-induced dimerization, leading to autophosphorylation on specific tyrosine resi- dues. Thereby the kinase activities of the receptors are activated and docking sites for down- stream SH2 domain signal transduction molecules are created; activation of these pathways promotes cell growth, survival, and migration. These receptors mediate important signals during the embryonal development, and control tissue homeostasis in the adult. Their over- activity is seen in malignancies and other diseases involving excessive cell proliferation, such as atherosclerosis and fibrotic diseases. In cancer, mutations of PDGF and SCF receptors— including gene fusions, point mutations, and amplifications—drive subpopulations of cer- tain malignancies, such as gastrointestinal stromal tumors, chronic myelomonocytic leuke- mia, hypereosinophilic syndrome, glioblastoma, acute myeloid leukemia, mastocytosis, and melanoma. he type III tyrosine kinase receptor family with kinases, and a less well-conserved carboxy- Tconsists of platelet-derived growth factor terminal tail. The ligands for these receptors are (PDGF) receptor a and b, stem cell factor all dimeric molecules, and on binding they in- (SCF) receptor (Kit), colony-stimulating fac- duce receptor dimerization. -
Differential Expression of PDGFD in Cancers of the Breast
Differential expression of platelet-derived growth factor D in cancers of the breast. Shahan Mamoor, MS1 [email protected] East Islip, NY 11730 Breast cancer affects women at relatively high frequency1. We mined published microarray datasets2,3 to determine in an unbiased fashion and at the systems level genes most differentially expressed in the primary tumors of patients with breast cancer. We report here significant differential expression of the gene encoding platelet-derived growth factor D, PDGFD, when comparing primary tumors of the breast to the tissue of origin, the normal breast. PDGFD was also differentially expressed in the tumor cells of patients with triple negative breast cancer. PDGFD mRNA was present at significantly lower quantities in tumors of the breast as compared to normal breast tissue. Analysis of human survival data revealed that expression of PDGFD in primary tumors of the breast was correlated with overall survival in patients with basal and luminal A subtype cancer, demonstrating a relationship between primary tumor expression of a differentially expressed gene and patient survival outcomes influenced by molecular subtype. PDGFD may be of relevance to initiation, maintenance or progression of cancers of the female breast. Keywords: breast cancer, PDGFD, platelet-derived growth factor D, systems biology of breast cancer, targeted therapeutics in breast cancer. 1 Invasive breast cancer is diagnosed in over a quarter of a million women in the United States each year1 and in 2018, breast cancer was the leading cause of cancer death in women worldwide4. While patients with localized breast cancer are provided a 99% 5-year survival rate, patients with regional breast cancer, cancer that has spread to lymph nodes or nearby structures, are provided an 86% 5-year survival rate5,6. -
Type of the Paper (Article
Table S1. Gene expression of pro-angiogenic factors in tumor lymph nodes of Ibtk+/+Eµ-myc and Ibtk+/-Eµ-myc mice. Fold p- Symbol Gene change value 0,007 Akt1 Thymoma viral proto-oncogene 1 1,8967 061 0,929 Ang Angiogenin, ribonuclease, RNase A family, 5 1,1159 481 0,000 Angpt1 Angiopoietin 1 4,3916 117 0,461 Angpt2 Angiopoietin 2 0,7478 625 0,258 Anpep Alanyl (membrane) aminopeptidase 1,1015 737 0,000 Bai1 Brain-specific angiogenesis inhibitor 1 4,0927 202 0,001 Ccl11 Chemokine (C-C motif) ligand 11 3,1381 149 0,000 Ccl2 Chemokine (C-C motif) ligand 2 2,8407 298 0,000 Cdh5 Cadherin 5 2,5849 744 0,000 Col18a1 Collagen, type XVIII, alpha 1 3,8568 388 0,003 Col4a3 Collagen, type IV, alpha 3 2,9031 327 0,000 Csf3 Colony stimulating factor 3 (granulocyte) 4,3332 258 0,693 Ctgf Connective tissue growth factor 1,0195 88 0,000 Cxcl1 Chemokine (C-X-C motif) ligand 1 2,67 21 0,067 Cxcl2 Chemokine (C-X-C motif) ligand 2 0,7507 631 0,000 Cxcl5 Chemokine (C-X-C motif) ligand 5 3,921 328 0,000 Edn1 Endothelin 1 3,9931 042 0,001 Efna1 Ephrin A1 1,6449 601 0,002 Efnb2 Ephrin B2 2,8858 042 0,000 Egf Epidermal growth factor 1,726 51 0,000 Eng Endoglin 0,2309 467 0,000 Epas1 Endothelial PAS domain protein 1 2,8421 764 0,000 Ephb4 Eph receptor B4 3,6334 035 V-erb-b2 erythroblastic leukemia viral oncogene homolog 2, 0,000 Erbb2 3,9377 neuro/glioblastoma derived oncogene homolog (avian) 024 0,000 F2 Coagulation factor II 3,8295 239 1 0,000 F3 Coagulation factor III 4,4195 293 0,002 Fgf1 Fibroblast growth factor 1 2,8198 748 0,000 Fgf2 Fibroblast growth factor -
Single-Cell Transcriptome Sequencing of 18,787 Human Induced Pluripotent Stem Cells Identifies Differentially Primed Subpopulations
Single-cell transcriptome sequencing of 18,787 human induced pluripotent stem cells identifies differentially primed subpopulations Quan H. Nguyen1*, Samuel W. Lukowski1*, Han Sheng Chiu1, Anne Senabouth1, Timothy J. C. Bruxner1, Angelika N. Christ1, Nathan J. Palpant1*, Joseph E. Powell1,2* 1 Institute for Molecular Bioscience, University of Queensland, Brisbane, Australia 2 Queensland Brain Institute, University of Queensland, Brisbane, Australia * These authors contributed equally Supplementary Figures and Tables Table S1. Summary statistics for sequencing and mapping data of five samples Mean Median Total Median Percent Remaining Number Total number reads per genes genes UMIs per mapped cells post of cells of reads cell per cell detected cell reads filtering Sample 1 2,779 71,256 3,662 20,356 17,769 198,022,303 62.6 2,426 Sample 2 545 318,909 4,547 18,557 27,341 173,805,798 63.4 424 Sample 3 3,103 56,459 2,944 19,261 11,214 175,193,813 71.8 2,906 Sample 4 9,192 38,637 2,016 21,491 5,963 355,158,219 68.9 8,294 Sample 5 4,863 26,471 2,804 20,235 10,150 128,728,889 67.2 4,737 1 Table S2. Summary of the cell and gene filtering process Procedure Count Cells removed by library size (outside 3 x MAD range)a 0 Cells removed by number detected genes (outside 3 x MAD range) 77 Cells removed by reads mapped to mitochondrial genes (outside 3 x MAD range) 1,559 Cells removed by reads mapped to ribosomal genes (outside 3 x MAD range) 102 Cells removed by reads mapped to mitochondrial genes (> 20 % total reads)b 0 Cells removed by reads mapped to ribosomal genes (> 50 % total reads) 0 Genes removed by number of expressed cells (< 1 % total cells)c 16,674 Remaining cells post filtering 18,787 Remaining genes post filtering 16,064 aMAD stands for median absolute deviation. -
PDGF-C and PDGF-D Signaling in Vascular Diseases and Animal Models
Molecular Aspects of Medicine 62 (2018) 1e11 Contents lists available at ScienceDirect Molecular Aspects of Medicine journal homepage: www.elsevier.com/locate/mam PDGF-C and PDGF-D signaling in vascular diseases and animal models * Erika Folestad a, Anne Kunath b, Dick Wågsater€ b, a Division of Vascular Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden b Division of Drug Research, Department of Medical and Health Sciences, Linkoping€ University, Linkoping,€ Sweden article info abstract Article history: Members of the platelet-derived growth factor (PDGF) family are well known to be involved in different Received 31 August 2017 pathological conditions. The cellular and molecular mechanisms induced by the PDGF signaling have Received in revised form been well studied. Nevertheless, there is much more to discover about their functions and some 14 November 2017 important questions to be answered. This review summarizes the known roles of two of the PDGFs, Accepted 22 January 2018 PDGF-C and PDGF-D, in vascular diseases. There are clear implications for these growth factors in several Available online 14 February 2018 vascular diseases, such as atherosclerosis and stroke. The PDGF receptors are broadly expressed in the cardiovascular system in cells such as fibroblasts, smooth muscle cells and pericytes. Altered expression Keywords: Aneurysm of the receptors and the ligands have been found in various cardiovascular diseases and current studies fi Atherosclerosis have shown important implications of PDGF-C and PDGF-D signaling in brosis, neovascularization, Growth factor atherosclerosis and restenosis. Myocardial infarction © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND Smooth muscle cells license (http://creativecommons.org/licenses/by-nc-nd/4.0/). -
PDGFB Split FISH Probe Storage Instruction: Store at 4°C in the Dark
PDGFB Split FISH Probe Storage Instruction: Store at 4°C in the dark. Entrez GeneID: 5155 Catalog Number: FS0009 Gene Symbol: PDGFB Regulatory Status: For research use only (RUO) Gene Alias: FLJ12858, PDGF2, SIS, SSV, c-sis Product Description: Labeled FISH probes for identification of gene split using Fluoresecent In Situ Gene Summary: The protein encoded by this gene is a Hybridization Technique. (Technology) member of the platelet-derived growth factor family. The four members of this family are mitogenic factors for Probe 1: cells of mesenchymal origin and are characterized by a Size: motif of eight cysteines. This gene product can exist Fluorophore: either as a homodimer (PDGF-BB) or as a heterodimer Location: PDGFB(Texas Red) with the platelet-derived growth factor alpha polypeptide Approximately 470kb (PDGF-AB), where the dimers are connected by Texas Red disulfide bonds. Mutations in this gene are associated 22q13.1 with meningioma. Reciprocal translocations between Probe 2: chromosomes 22 and 7, at sites where this gene and Size: that for COL1A1 are located, are associated with a Fluorophore: particular type of skin tumor called dermatofibrosarcoma Location: PDGFB(FITC) protuberans resulting from unregulated expression of Approximately 610kb growth factor. Two alternatively spliced transcript FITC variants encoding different isoforms have been identified 22q13.1 for this gene. [provided by RefSeq] Probe Gap: The gap between two probes is approximately 50 kb Source: Genomic DNA Origin: Human Notice: We strongly recommend the customer to use FFPE FISH PreTreatment Kit 1 (Catalog #: KA2375 or KA2691) for the pretreatment of Formalin-Fixed Paraffin-Embedded (FFPE) tissue sections. -
PDGFRA in Vascular Adventitial Mscs Promotes Neointima Formation in Arteriovenous Fistula in Chronic Kidney Disease
RESEARCH ARTICLE PDGFRA in vascular adventitial MSCs promotes neointima formation in arteriovenous fistula in chronic kidney disease Ke Song,1,2 Ying Qing,2 Qunying Guo,2 Eric K. Peden,3 Changyi Chen,4 William E. Mitch,2 Luan Truong,5 and Jizhong Cheng2 1Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. 2Selzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA. 3Department of Vascular Surgery, DeBakey Heart and Vascular Institute, Houston Methodist Hospital, Houston, Texas, USA. 4Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA. 5Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas, USA. Chronic kidney disease (CKD) induces the failure of arteriovenous fistulas (AVFs) and promotes the differentiation of vascular adventitial GLI1-positive mesenchymal stem cells (GMCs). However, the roles of GMCs in forming neointima in AVFs remain unknown. GMCs isolated from CKD mice showed increased potential capacity of differentiation into myofibroblast-like cells. Increased activation of expression of PDGFRA and hedgehog (HH) signaling were detected in adventitial cells of AVFs from patients with end-stage kidney disease and CKD mice. PDGFRA was translocated and accumulated in early endosome when sonic hedgehog was overexpressed. In endosome, PDGFRA-mediated activation of TGFB1/SMAD signaling promoted the differentiation of GMCs into myofibroblasts, extracellular matrix deposition, and vascular fibrosis. These responses resulted in neointima formation and AVF failure. KO of Pdgfra or inhibition of HH signaling in GMCs suppressed the differentiation of GMCs into myofibroblasts. In vivo, specific KO of Pdgfra inhibited GMC activation and vascular fibrosis, resulting in suppression of neointima formation and improvement of AVF patency despite CKD. -
PDGFB Regulates the Development of the Labyrinthine Layer of the Mouse Fetal Placenta
Developmental Biology 212, 124–136 (1999) Article ID dbio.1999.9306, available online at http://www.idealibrary.com on PDGFB Regulates the Development of the Labyrinthine Layer of the Mouse Fetal Placenta Rolf Ohlsson,*,1 Pierre Falck,* Mats Hellstro¨m,† Per Lindahl,† Hans Bostro¨m,† Gary Franklin,* Lars A¨ hrlund-Richter,‡ Jeffrey Pollard,§ Philippe Soriano,¶ and Christer Betsholtz† *Department of Animal Development & Genetics, Uppsala University, Norbyva¨gen 18A, S-752 36 Uppsala, Sweden; †Department of Medical Biochemistry, Gothenburg University, Medicinaregatan 9A, S-413 90 Gothenburg, Sweden; ‡Department of Medical Nutrition, Karolinska Institute, Huddinge, Sweden; §Department of Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, New York 10461; and ¶Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109 PDGFB is a growth factor which is vital for the completion of normal prenatal development. In this study, we report the phenotypic analysis of placentas from mouse conceptuses that lack a functional PDGFB or PDGFRb gene. Placentas of both types of mutant exhibit changes in the labyrinthine layer, including dilated embryonic blood vessels and reduced numbers of both pericytes and trophoblasts. These changes are seen from embryonic day (E) 13.5, which coincides with the upregulation of PDGFB mRNA levels in normal placentas. By E17, modifications in shape, size, and number of the fetal blood vessels in the mutant placentas cause an abnormal ratio of the surface areas between the fetal and the maternal blood vessels in the labyrinthine layer. Our data suggest that PDGFB acts locally to contribute to the development of the labyrinthine layer of the fetal placenta and the formation of a proper nutrient–waste exchange system during fetal development. -
Ep 3217179 A1
(19) TZZ¥ ___T (11) EP 3 217 179 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 13.09.2017 Bulletin 2017/37 G01N 33/68 (2006.01) (21) Application number: 17167637.2 (22) Date of filing: 02.10.2013 (84) Designated Contracting States: • LIU, Xinjun AL AT BE BG CH CY CZ DE DK EE ES FI FR GB San Diego, CA 92130 (US) GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO • HAUENSTEIN, Scott PL PT RO RS SE SI SK SM TR San Diego, CA 92130 (US) • KIRKLAND, Richard (30) Priority: 05.10.2012 US 201261710491 P San Diego, CA 92111 (US) 17.05.2013 US 201361824959 P (74) Representative: Krishnan, Sri (62) Document number(s) of the earlier application(s) in Nestec S.A. accordance with Art. 76 EPC: Centre de Recherche Nestlé 13779638.9 / 2 904 405 Vers-chez-les-Blanc Case Postale 44 (71) Applicant: Nestec S.A. 1000 Lausanne 26 (CH) 1800 Vevey (CH) Remarks: (72) Inventors: This application was filed on 21-04-2017 as a • SINGH, Sharat divisional application to the application mentioned Rancho Santa Fe, CA 92127 (US) under INID code 62. (54) METHODS FOR PREDICTING AND MONITORING MUCOSAL HEALING (57) The present invention provides methods for pre- an individual with a disease such as IBD. Information on dicting the likelihood of mucosal healing in an individual mucosal healing status derived from the use of the with a disease such as inflammatory bowel disease present invention can also aid in optimizing therapy (IBD). -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
PDGFB-Based Stem Cell Gene Therapy Increases Bone Strength in the Mouse
PDGFB-based stem cell gene therapy increases bone PNAS PLUS strength in the mouse Wanqiu Chena, David J. Baylinka, Justin Brier-Jonesa, Amanda Neisesa, Jason B. Kiroyana, Charles H. Rundlea,b, Kin-Hing William Laua,b, and Xiao-Bing Zhanga,1 aDepartment of Medicine, Loma Linda University, Loma Linda, CA 92354; and bMusculoskeletal Disease Center, Jerry L. Pettis Memorial VA Medical Center, Loma Linda, CA 92357 Edited by David W. Russell, University of Texas Southwestern Medical Center, Dallas, TX, and approved June 5, 2015 (received for review January 27, 2015) Substantial advances have been made in the past two decades in (HSC) cell therapy, which could be given intravenously and would the management of osteoporosis. However, none of the current result in rejuvenation of the skeleton (9). We have shown en- medications can eliminate the risk of fracture and rejuvenate the graftment of donor HSCs that were genetically engineered to skeleton. To this end, we recently reported that transplantation overexpress FGF2 at sites where bone is lost in osteoporosis (i.e., + of hematopoietic stem/progenitor cells (HSCs) or Sca1 cells engi- the HSC niches), which in turn resulted in substantial augmenta- neered to overexpress FGF2 results in a significant increase in la- tion of bone matrix formation at these sites (9). Despite these mellar bone matrix formation at the endosteum; but this increase advances, we encountered several issues that severely compro- was attended by the development of secondary hyperparathyroid- mised the efficacy of our therapy. Instead of being stronger, the ism and severe osteomalacia. Here we switch the therapeutic gene resulting bones were actually weaker and sometimes fractured PDGFB to , another potent mitogen for mesenchymal stem cells during tissue processing. -
Melanoma Antibodies
Melanoma Antibodies Catalog No. Product Name Applications Reactivity H00000207-M03 AKT1 monoclonal antibody (M03) WB, IHC, IF, ELISA, IP Human, Mouse, Rat H00000208-M01 AKT2 monoclonal antibody (M01) WB, IF, ELISA Human H00010000-M02 AKT3 monoclonal antibody (M02) WB, IF, ELISA Human H00000369-M05 ARAF monoclonal antibody (M05) WB, ELISA, PLA Human H00000572-M02 BAD monoclonal antibody (M02) WB, ELISA, PLA Human H00000673-M01A BRAF monoclonal antibody (M01A) WB, ELISA Human MAB15125 CCND1 monoclonal antibody WB, IHC Human H00000999-M01 CDH1 monoclonal antibody (M01) WB, IHC, ELISA, PLA Human H00001019-M03 CDK4 monoclonal antibody (M03) WB, IF, ELISA, RNAi Human H00001021-M01 CDK6 monoclonal antibody (M01) WB, IHC, IF, ELISA, PLA Human, Rat H00001026-M02 CDKN1A monoclonal antibody (M02) WB, IHC, IF, ELISA, PLA Human H00001029-M06 CDKN2A monoclonal antibody (M06) WB, IF, ELISA Human MAB6761 E2F1 (phospho S364) monoclonal antibody WB, IP, ELISA Human PAB26868 E2F2 polyclonal antibody WB, IHC Human, Mouse H00001871-M01 E2F3 monoclonal antibody (M01) WB, ELISA, PLA Human MAB10630 EGF monoclonal antibody WB, IHC, ELISA Human H00001956-M02 EGFR monoclonal antibody (M02) ELISA Human H00002246-M02 FGF1 monoclonal antibody (M02) WB, IHC, IF, IP, ELISA Human MAB5421 FGF2 monoclonal antibody WB, ELISA Human MAB7094 FGF3 monoclonal antibody WB, IHC, IF Human, Mouse, Xenopus PAB4025 FGF4 polyclonal antibody WB, IHC, ELISA Human Melanoma Antibodies Melanoma PAB28140 FGF7 polyclonal antibody IHC Human H00002253-M01 FGF8 monoclonal antibody (M01) WB,