Neuronal Cell Lines As Model Dorsal Root Ganglion Neurons: A
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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. -
Transcriptomic Analysis of Native Versus Cultured Human and Mouse Dorsal Root Ganglia Focused on Pharmacological Targets Short
bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Transcriptomic analysis of native versus cultured human and mouse dorsal root ganglia focused on pharmacological targets Short title: Comparative transcriptomics of acutely dissected versus cultured DRGs Andi Wangzhou1, Lisa A. McIlvried2, Candler Paige1, Paulino Barragan-Iglesias1, Carolyn A. Guzman1, Gregory Dussor1, Pradipta R. Ray1,#, Robert W. Gereau IV2, # and Theodore J. Price1, # 1The University of Texas at Dallas, School of Behavioral and Brain Sciences and Center for Advanced Pain Studies, 800 W Campbell Rd. Richardson, TX, 75080, USA 2Washington University Pain Center and Department of Anesthesiology, Washington University School of Medicine # corresponding authors [email protected], [email protected] and [email protected] Funding: NIH grants T32DA007261 (LM); NS065926 and NS102161 (TJP); NS106953 and NS042595 (RWG). The authors declare no conflicts of interest Author Contributions Conceived of the Project: PRR, RWG IV and TJP Performed Experiments: AW, LAM, CP, PB-I Supervised Experiments: GD, RWG IV, TJP Analyzed Data: AW, LAM, CP, CAG, PRR Supervised Bioinformatics Analysis: PRR Drew Figures: AW, PRR Wrote and Edited Manuscript: AW, LAM, CP, GD, PRR, RWG IV, TJP All authors approved the final version of the manuscript. 1 bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
140503 IPF Signatures Supplement Withfigs Thorax
Supplementary material for Heterogeneous gene expression signatures correspond to distinct lung pathologies and biomarkers of disease severity in idiopathic pulmonary fibrosis Daryle J. DePianto1*, Sanjay Chandriani1⌘*, Alexander R. Abbas1, Guiquan Jia1, Elsa N. N’Diaye1, Patrick Caplazi1, Steven E. Kauder1, Sabyasachi Biswas1, Satyajit K. Karnik1#, Connie Ha1, Zora Modrusan1, Michael A. Matthay2, Jasleen Kukreja3, Harold R. Collard2, Jackson G. Egen1, Paul J. Wolters2§, and Joseph R. Arron1§ 1Genentech Research and Early Development, South San Francisco, CA 2Department of Medicine, University of California, San Francisco, CA 3Department of Surgery, University of California, San Francisco, CA ⌘Current address: Novartis Institutes for Biomedical Research, Emeryville, CA. #Current address: Gilead Sciences, Foster City, CA. *DJD and SC contributed equally to this manuscript §PJW and JRA co-directed this project Address correspondence to Paul J. Wolters, MD University of California, San Francisco Department of Medicine Box 0111 San Francisco, CA 94143-0111 [email protected] or Joseph R. Arron, MD, PhD Genentech, Inc. MS 231C 1 DNA Way South San Francisco, CA 94080 [email protected] 1 METHODS Human lung tissue samples Tissues were obtained at UCSF from clinical samples from IPF patients at the time of biopsy or lung transplantation. All patients were seen at UCSF and the diagnosis of IPF was established through multidisciplinary review of clinical, radiological, and pathological data according to criteria established by the consensus classification of the American Thoracic Society (ATS) and European Respiratory Society (ERS), Japanese Respiratory Society (JRS), and the Latin American Thoracic Association (ALAT) (ref. 5 in main text). Non-diseased normal lung tissues were procured from lungs not used by the Northern California Transplant Donor Network. -
PRODUCT SPECIFICATION Anti-GJC3 Product Datasheet
Anti-GJC3 Product Datasheet Polyclonal Antibody PRODUCT SPECIFICATION Product Name Anti-GJC3 Product Number HPA015024 Gene Description gap junction protein, gamma 3, 30.2kDa Clonality Polyclonal Isotype IgG Host Rabbit Antigen Sequence Recombinant Protein Epitope Signature Tag (PrEST) antigen sequence: RTWKHKSSSSKYFLTSESTRRHKKATDSLPVVETKEQFQEAVPGRSLAQE KQRPVGPRDA Purification Method Affinity purified using the PrEST antigen as affinity ligand Verified Species Human Reactivity Recommended IHC (Immunohistochemistry) Applications - Antibody dilution: 1:20 - 1:50 - Retrieval method: HIER pH6 WB (Western Blot) - Working concentration: 0.04-0.4 µg/ml Characterization Data Available at atlasantibodies.com/products/HPA015024 Buffer 40% glycerol and PBS (pH 7.2). 0.02% sodium azide is added as preservative. Concentration Lot dependent Storage Store at +4°C for short term storage. Long time storage is recommended at -20°C. Notes Gently mix before use. Optimal concentrations and conditions for each application should be determined by the user. For protocols, additional product information, such as images and references, see atlasantibodies.com. Product of Sweden. For research use only. Not intended for pharmaceutical development, diagnostic, therapeutic or any in vivo use. No products from Atlas Antibodies may be resold, modified for resale or used to manufacture commercial products without prior written approval from Atlas Antibodies AB. Warranty: The products supplied by Atlas Antibodies are warranted to meet stated product specifications and to conform to label descriptions when used and stored properly. Unless otherwise stated, this warranty is limited to one year from date of sales for products used, handled and stored according to Atlas Antibodies AB's instructions. Atlas Antibodies AB's sole liability is limited to replacement of the product or refund of the purchase price. -
Transcriptomic Profiling of Ca Transport Systems During
cells Article Transcriptomic Profiling of Ca2+ Transport Systems during the Formation of the Cerebral Cortex in Mice Alexandre Bouron Genetics and Chemogenomics Lab, Université Grenoble Alpes, CNRS, CEA, INSERM, Bâtiment C3, 17 rue des Martyrs, 38054 Grenoble, France; [email protected] Received: 29 June 2020; Accepted: 24 July 2020; Published: 29 July 2020 Abstract: Cytosolic calcium (Ca2+) transients control key neural processes, including neurogenesis, migration, the polarization and growth of neurons, and the establishment and maintenance of synaptic connections. They are thus involved in the development and formation of the neural system. In this study, a publicly available whole transcriptome sequencing (RNA-Seq) dataset was used to examine the expression of genes coding for putative plasma membrane and organellar Ca2+-transporting proteins (channels, pumps, exchangers, and transporters) during the formation of the cerebral cortex in mice. Four ages were considered: embryonic days 11 (E11), 13 (E13), and 17 (E17), and post-natal day 1 (PN1). This transcriptomic profiling was also combined with live-cell Ca2+ imaging recordings to assess the presence of functional Ca2+ transport systems in E13 neurons. The most important Ca2+ routes of the cortical wall at the onset of corticogenesis (E11–E13) were TACAN, GluK5, nAChR β2, Cav3.1, Orai3, transient receptor potential cation channel subfamily M member 7 (TRPM7) non-mitochondrial Na+/Ca2+ exchanger 2 (NCX2), and the connexins CX43/CX45/CX37. Hence, transient receptor potential cation channel mucolipin subfamily member 1 (TRPML1), transmembrane protein 165 (TMEM165), and Ca2+ “leak” channels are prominent intracellular Ca2+ pathways. The Ca2+ pumps sarco/endoplasmic reticulum Ca2+ ATPase 2 (SERCA2) and plasma membrane Ca2+ ATPase 1 (PMCA1) control the resting basal Ca2+ levels. -
A Translaminar Genetic Logic for the Circuit Identity of Intracortically-Projecting Neurons
bioRxiv preprint doi: https://doi.org/10.1101/290395; this version posted March 28, 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. Title A translaminar genetic logic for the circuit identity of intracortically-projecting neurons Authors Esther Klingler1, Andres De la Rossa1,3, Sabine Fièvre1, Denis Jabaudon1,2 1Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland. 2Clinic of Neurology, Geneva University Hospital, Geneva, Switzerland. 3Present address: Department of Cell Biology, University of Geneva, Geneva, Switzerland. Correspondence should be addressed to D.J. ([email protected]). Abstract Distinct subtypes of intracortically-projecting neurons (ICPN) are present in all layers, allowing propagation of information within and across cortical columns. How the molecular identities of ICPN relate to their defining anatomical and functional properties is unknown. Here we show that the transcriptional identities of ICPN primarily reflect their input-output connectivities rather than their birth dates or laminar positions. Thus, conserved circuit-related transcriptional programs are at play across cortical layers, which may preserve canonical circuit features across development and evolution. bioRxiv preprint doi: https://doi.org/10.1101/290395; this version posted March 28, 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. Introduction Neurons of the neocortex are organized into six radial layers, which have appeared at different times during evolution, with the superficial layers representing a more recent acquisition. Input to the neocortex predominantly reaches superficial layers (SL, i.e. -
Ion Channels
UC Davis UC Davis Previously Published Works Title THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels. Permalink https://escholarship.org/uc/item/1442g5hg Journal British journal of pharmacology, 176 Suppl 1(S1) ISSN 0007-1188 Authors Alexander, Stephen PH Mathie, Alistair Peters, John A et al. Publication Date 2019-12-01 DOI 10.1111/bph.14749 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: Ion channels. British Journal of Pharmacology (2019) 176, S142–S228 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels Stephen PH Alexander1 , Alistair Mathie2 ,JohnAPeters3 , Emma L Veale2 , Jörg Striessnig4 , Eamonn Kelly5, Jane F Armstrong6 , Elena Faccenda6 ,SimonDHarding6 ,AdamJPawson6 , Joanna L Sharman6 , Christopher Southan6 , Jamie A Davies6 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 3Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 4Pharmacology and Toxicology, Institute of Pharmacy, University of Innsbruck, A-6020 Innsbruck, Austria 5School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 6Centre for Discovery Brain Science, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. -
Altered Physiological Functions and Ion Currents in Atrial Fibroblasts From
Physiological Reports ISSN 2051-817X ORIGINAL RESEARCH Altered physiological functions and ion currents in atrial fibroblasts from patients with chronic atrial fibrillation Claire Poulet1, Stephan Kunzel€ 1, Edgar Buttner€ 1, Diana Lindner2, Dirk Westermann2 & Ursula Ravens1 1 Department of Pharmacology and Toxicology, Medical Faculty Carl-Gustav-Carus, TU Dresden, Dresden, Germany 2 Department of General and Interventional Cardiology, University Heart Center Hamburg Eppendorf, Hamburg, Germany Keywords Abstract Atrial fibrillation, electrophysiology, fibroblasts. The contribution of human atrial fibroblasts to cardiac physiology and patho- physiology is poorly understood. Fibroblasts may contribute to arrhythmogen- Correspondence esis through fibrosis, or by directly altering electrical activity in Claire Poulet, Imperial College London, Imperial cardiomyocytes. The objective of our study was to uncover phenotypic differ- Centre for Translational and Experimental ences between cells from patients in sinus rhythm (SR) and chronic atrial fib- Medicine, Hammersmith Campus, Du Cane rillation (AF), with special emphasis on electrophysiological properties. We Road, London W12 0NN, UK isolated fibroblasts from human right atrial tissue for patch-clamp experi- Tel: +44 207 594 2738 Fax: +44 207 594 3653 ments, proliferation, migration, and differentiation assays, and gene expression E-mail: [email protected] profiling. In culture, proliferation and migration of AF fibroblasts were strongly impaired but differentiation into myofibroblasts was increased. This Present Addresses was associated with a higher number of AF fibroblasts expressing functional Claire Poulet, Imperial College London, Nav1.5 channels. Strikingly Na+ currents were considerably larger in AF cells. National Heart and Lung Institute, London, UK Blocking Na+ channels in culture with tetrodotoxin did not affect prolifera- tion, migration, or differentiation in neither SR nor AF cells. -
Automatic Detection of the Circulating Cell-Free Methylated DNA Pattern
Supplementary Files Automatic Detection of the Circulating Cell‐Free Methylated DNA Pattern of GCM2, ITPRIPL1 and CCDC181 for Detection of Early Breast Cancer and Surgical Treatment Response Sheng‐Chao Wang, Li‐Min Liao, Muhamad Ansar, Shih‐Yun Lin, Wei‐Wen Hsu and Chih‐Ming Su, Yu‐Mei Chung, Cai‐Cing Liu, Chin‐Sheng Hung and Ruo‐Kai Lin Figure S1. Representative standard sequencing diagram for bisulfite direct sequencing of the CCDC181, GCM2, ITPRIPL1, ENPP2, LOC643719, ZNF177, ADCY4 and RASSF1 genes. Figure S2. Representative figures showing the DNA methylation levels of the candidate genes CCDC181, GCM2, ITPRIPL1, ENPP2, LOC643719, ZNF177, ADCY4 and RASSF1 using qMSP in breast cancer patients. Table S1. The clinical parameters of breast cancer patients for plasma ccfDNA analysis. Automatic Automatic Manual Manual Labturbo Duo Prime Characteristics 0.2 mL Plasma 0.5 mL Plasma 1.6 mL Plasma 1.6 mL Plasma N (%) N (%) N (%) N (%) Overall 45 34 63 57 Type 45 19(42.2) 13(38.2) 9(14.3) 10(17.5) 45 26(57.8) 21(61.8) 54(85.7) 47(82.5) Type DCIS 3(6.7) 10(29.4) 7(11.1) 1(1.8) IDC 40(88.9) 22(64.7) 47(74.6) 48(84.2) ILC 1(2.2) 2(5.9) 1(1.6) 2(3.5) Others 1(2.2) 0 8(12.7) 6(10.5) Tumor Stage 0, I and II 32(71.1) 29(85.3) 52(82.5) 44(77.2) III and IV 13(28.9) 5(14.7) 11(17.5) 13(22.8) Tumor Size T0–T2 38(84.4) 31(91.2) 56(88.9) 49(86.0) T3–T4 7(15.6) 3(8.8) 7(11.1) 8(14.0) Lymph node N = 0 16(35.6) 22(64.7) 31(49.2) 30(52.6) N > 0 29(64.4) 1235.3) 32(50.8) 27(47.4) ER Negative 21(46.7) 7(20.6) 19(30.2) 19(33.3) Positive 24(53.3) 27(79.4) 44(69.8) 38(66.7) PR Negative 20(44.4) 11(32.4) 21(33.3) 22(38.6) Positive 25(55.6) 23(67.6) 42(66.7) 35(61.4) HER2 Negative 35(77.8) 26(76.5) 46(73.0) 35(61.4) Positive 10(22.2) 8(23.5) 17(27.0) 22(38.6) Ki‐67 High 24(53.3) 24(70.6) 39(61.9) 39(68.4) Low 21(46.7) 10(29.4) 24(38.1) 12(21.1) n.d. -
Identification of Transcriptional Mechanisms Downstream of Nf1 Gene Defeciency in Malignant Peripheral Nerve Sheath Tumors Daochun Sun Wayne State University
Wayne State University DigitalCommons@WayneState Wayne State University Dissertations 1-1-2012 Identification of transcriptional mechanisms downstream of nf1 gene defeciency in malignant peripheral nerve sheath tumors Daochun Sun Wayne State University, Follow this and additional works at: http://digitalcommons.wayne.edu/oa_dissertations Recommended Citation Sun, Daochun, "Identification of transcriptional mechanisms downstream of nf1 gene defeciency in malignant peripheral nerve sheath tumors" (2012). Wayne State University Dissertations. Paper 558. This Open Access Dissertation is brought to you for free and open access by DigitalCommons@WayneState. It has been accepted for inclusion in Wayne State University Dissertations by an authorized administrator of DigitalCommons@WayneState. IDENTIFICATION OF TRANSCRIPTIONAL MECHANISMS DOWNSTREAM OF NF1 GENE DEFECIENCY IN MALIGNANT PERIPHERAL NERVE SHEATH TUMORS by DAOCHUN SUN DISSERTATION Submitted to the Graduate School of Wayne State University, Detroit, Michigan in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY 2012 MAJOR: MOLECULAR BIOLOGY AND GENETICS Approved by: _______________________________________ Advisor Date _______________________________________ _______________________________________ _______________________________________ © COPYRIGHT BY DAOCHUN SUN 2012 All Rights Reserved DEDICATION This work is dedicated to my parents and my wife Ze Zheng for their continuous support and understanding during the years of my education. I could not achieve my goal without them. ii ACKNOWLEDGMENTS I would like to express tremendous appreciation to my mentor, Dr. Michael Tainsky. His guidance and encouragement throughout this project made this dissertation come true. I would also like to thank my committee members, Dr. Raymond Mattingly and Dr. John Reiners Jr. for their sustained attention to this project during the monthly NF1 group meetings and committee meetings, Dr. -
Comparative Transcriptome Profiling of the Human and Mouse Dorsal Root Ganglia: an RNA-Seq-Based Resource for Pain and Sensory Neuroscience Research
bioRxiv preprint doi: https://doi.org/10.1101/165431; this version posted October 13, 2017. 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. Title: Comparative transcriptome profiling of the human and mouse dorsal root ganglia: An RNA-seq-based resource for pain and sensory neuroscience research Short Title: Human and mouse DRG comparative transcriptomics Pradipta Ray 1, 2 #, Andrew Torck 1 , Lilyana Quigley 1, Andi Wangzhou 1, Matthew Neiman 1, Chandranshu Rao 1, Tiffany Lam 1, Ji-Young Kim 1, Tae Hoon Kim 2, Michael Q. Zhang 2, Gregory Dussor 1 and Theodore J. Price 1, # 1 The University of Texas at Dallas, School of Behavioral and Brain Sciences 2 The University of Texas at Dallas, Department of Biological Sciences # Corresponding authors Theodore J Price Pradipta Ray School of Behavioral and Brain Sciences School of Behavioral and Brain Sciences The University of Texas at Dallas The University of Texas at Dallas BSB 14.102G BSB 10.608 800 W Campbell Rd 800 W Campbell Rd Richardson TX 75080 Richardson TX 75080 972-883-4311 972-883-7262 [email protected] [email protected] Number of pages: 27 Number of figures: 9 Number of tables: 8 Supplementary Figures: 4 Supplementary Files: 6 Word count: Abstract = 219; Introduction = 457; Discussion = 1094 Conflict of interest: The authors declare no conflicts of interest Patient anonymity and informed consent: Informed consent for human tissue sources were obtained by Anabios, Inc. (San Diego, CA). Human studies: This work was approved by The University of Texas at Dallas Institutional Review Board (MR 15-237). -
Single Cell Derived Clonal Analysis of Human Glioblastoma Links
SUPPLEMENTARY INFORMATION: Single cell derived clonal analysis of human glioblastoma links functional and genomic heterogeneity ! Mona Meyer*, Jüri Reimand*, Xiaoyang Lan, Renee Head, Xueming Zhu, Michelle Kushida, Jane Bayani, Jessica C. Pressey, Anath Lionel, Ian D. Clarke, Michael Cusimano, Jeremy Squire, Stephen Scherer, Mark Bernstein, Melanie A. Woodin, Gary D. Bader**, and Peter B. Dirks**! ! * These authors contributed equally to this work.! ** Correspondence: [email protected] or [email protected]! ! Supplementary information - Meyer, Reimand et al. Supplementary methods" 4" Patient samples and fluorescence activated cell sorting (FACS)! 4! Differentiation! 4! Immunocytochemistry and EdU Imaging! 4! Proliferation! 5! Western blotting ! 5! Temozolomide treatment! 5! NCI drug library screen! 6! Orthotopic injections! 6! Immunohistochemistry on tumor sections! 6! Promoter methylation of MGMT! 6! Fluorescence in situ Hybridization (FISH)! 7! SNP6 microarray analysis and genome segmentation! 7! Calling copy number alterations! 8! Mapping altered genome segments to genes! 8! Recurrently altered genes with clonal variability! 9! Global analyses of copy number alterations! 9! Phylogenetic analysis of copy number alterations! 10! Microarray analysis! 10! Gene expression differences of TMZ resistant and sensitive clones of GBM-482! 10! Reverse transcription-PCR analyses! 11! Tumor subtype analysis of TMZ-sensitive and resistant clones! 11! Pathway analysis of gene expression in the TMZ-sensitive clone of GBM-482! 11! Supplementary figures and tables" 13" "2 Supplementary information - Meyer, Reimand et al. Table S1: Individual clones from all patient tumors are tumorigenic. ! 14! Fig. S1: clonal tumorigenicity.! 15! Fig. S2: clonal heterogeneity of EGFR and PTEN expression.! 20! Fig. S3: clonal heterogeneity of proliferation.! 21! Fig.