Activation of B-Catenin in Prostate Epithelium Induces Hyperplasias and Squamous Transdifferentiation
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Transgenic Cyclooxygenase-2 Overexpression Sensitizes Mouse Skin for Carcinogenesis
Transgenic cyclooxygenase-2 overexpression sensitizes mouse skin for carcinogenesis Karin Mu¨ ller-Decker*†, Gitta Neufang*, Irina Berger‡, Melanie Neumann*, Friedrich Marks*, and Gerhard Fu¨ rstenberger* *Research Program Tumor Cell Regulation, Deutsches Krebsforschungszentrum, and ‡Department of Pathology, Ruprecht-Karls-University, 69120 Heidelberg, Germany Edited by Philip Needleman, Pharmacia Corporation, St. Louis, MO, and approved July 29, 2002 (received for review May 30, 2002) Genetic and pharmacological evidence suggests that overexpres- there is a causal relationship between COX-2 overexpression sion of cyclooxygenase-2 (COX-2) is critical for epithelial carcino- and tumor development. Recently, we have shown that the genesis and provides a major target for cancer chemoprevention keratin 5 (K5) promoter-driven overexpression of COX-2 in by nonsteroidal antiinflammatory drugs. Transgenic mouse lines basal cells of interfollicular epidermis and the pilosebaceous unit with keratin 5 promoter-driven COX-2 overexpression in basal led to a preneoplastic skin phenotype in 4 of 4 high-expression epidermal cells exhibit a preneoplastic skin phenotype. As shown mouse lines (15). here, this phenotype depends on the level of COX-2 expression and To delineate COX-2 functions for carcinogenesis, we have COX-2-mediated prostaglandin accumulation. The transgenics did used the initiation–promotion model (2) for the induction of skin not develop skin tumors spontaneously but did so after a single tumors in wild-type (wt) NMRI mice and COX-2 transgenic application of an initiating dose of the carcinogen 7,12-dimethyl- mouse lines. This multistage model allows the analysis of the benz[a]anthracene (DMBA). Long-term treatment with the tumor carcinogenic process in terms of distinct stages, i.e., initiation by promoter phorbol 12-myristate 13-acetate, as required for tumor- application of a subcarcinogenic dose of a carcinogen such as igenesis in wild-type mice, was not necessary for transgenics. -
Deimination, Intermediate Filaments and Associated Proteins
International Journal of Molecular Sciences Review Deimination, Intermediate Filaments and Associated Proteins Julie Briot, Michel Simon and Marie-Claire Méchin * UDEAR, Institut National de la Santé Et de la Recherche Médicale, Université Toulouse III Paul Sabatier, Université Fédérale de Toulouse Midi-Pyrénées, U1056, 31059 Toulouse, France; [email protected] (J.B.); [email protected] (M.S.) * Correspondence: [email protected]; Tel.: +33-5-6115-8425 Received: 27 October 2020; Accepted: 16 November 2020; Published: 19 November 2020 Abstract: Deimination (or citrullination) is a post-translational modification catalyzed by a calcium-dependent enzyme family of five peptidylarginine deiminases (PADs). Deimination is involved in physiological processes (cell differentiation, embryogenesis, innate and adaptive immunity, etc.) and in autoimmune diseases (rheumatoid arthritis, multiple sclerosis and lupus), cancers and neurodegenerative diseases. Intermediate filaments (IF) and associated proteins (IFAP) are major substrates of PADs. Here, we focus on the effects of deimination on the polymerization and solubility properties of IF proteins and on the proteolysis and cross-linking of IFAP, to finally expose some features of interest and some limitations of citrullinomes. Keywords: citrullination; post-translational modification; cytoskeleton; keratin; filaggrin; peptidylarginine deiminase 1. Introduction Intermediate filaments (IF) constitute a unique macromolecular structure with a diameter (10 nm) intermediate between those of actin microfilaments (6 nm) and microtubules (25 nm). In humans, IF are found in all cell types and organize themselves into a complex network. They play an important role in the morphology of a cell (including the nucleus), are essential to its plasticity, its mobility, its adhesion and thus to its function. -
Germline Variants in Driver Genes of Breast Cancer and Their Association with Familial and Early-Onset Breast Cancer Risk in a Chilean Population
cancers Article Germline Variants in Driver Genes of Breast Cancer and Their Association with Familial and Early-Onset Breast Cancer Risk in a Chilean Population Alejandro Fernandez-Moya 1, Sebastian Morales 1,* , Trinidad Arancibia 1, Patricio Gonzalez-Hormazabal 1, Julio C. Tapia 2, Raul Godoy-Herrera 1, Jose Miguel Reyes 3, Fernando Gomez 4, Enrique Waugh 4 and Lilian Jara 1,* 1 Programa de Genética Humana, Instituto de Ciencia Biomédicas (ICBM), Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile; [email protected] (A.F.-M.); [email protected] (T.A.); [email protected] (P.G.-H.); [email protected] (R.G.-H.) 2 Laboratorio de Transformación Celular, Departamento de Oncología Básico Clínica, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile; [email protected] 3 Clínica Las Condes, Santiago 7591047, Chile; [email protected] 4 Clínica Santa María, Santiago 7520378, Chile; [email protected] (F.G.); [email protected] (E.W.) * Correspondence: [email protected] (S.M.); [email protected] (L.J.); Tel.: +56-9-98292094 (L.J.) Received: 11 September 2019; Accepted: 19 November 2019; Published: 20 January 2020 Abstract: The genetic variations responsible for tumorigenesis are called driver mutations. In breast cancer (BC), two studies have demonstrated that germline mutations in driver genes linked to sporadic tumors may also influence BC risk. The present study evaluates the association between SNPs and SNP-SNP interaction in driver genes TTN (rs10497520), TBX3 (rs2242442), KMT2D (rs11168827), and MAP3K1 (rs702688 and rs702689) with BC risk in BRCA1/2-negative Chilean families. The SNPs were genotyped in 489 BC cases and 1078 controls by TaqMan Assay. -
The Correlation of Keratin Expression with In-Vitro Epithelial Cell Line Differentiation
The correlation of keratin expression with in-vitro epithelial cell line differentiation Deeqo Aden Thesis submitted to the University of London for Degree of Master of Philosophy (MPhil) Supervisors: Professor Ian. C. Mackenzie Professor Farida Fortune Centre for Clinical and Diagnostic Oral Science Barts and The London School of Medicine and Dentistry Queen Mary, University of London 2009 Contents Content pages ……………………………………………………………………......2 Abstract………………………………………………………………………….........6 Acknowledgements and Declaration……………………………………………...…7 List of Figures…………………………………………………………………………8 List of Tables………………………………………………………………………...12 Abbreviations….………………………………………………………………..…...14 Chapter 1: Literature review 16 1.1 Structure and function of the Oral Mucosa……………..…………….…..............17 1.2 Maintenance of the oral cavity...……………………………………….................20 1.2.1 Environmental Factors which damage the Oral Mucosa………. ….…………..21 1.3 Structure and function of the Oral Mucosa ………………...….……….………...21 1.3.1 Skin Barrier Formation………………………………………………….……...22 1.4 Comparison of Oral Mucosa and Skin…………………………………….……...24 1.5 Developmental and Experimental Models used in Oral mucosa and Skin...……..28 1.6 Keratinocytes…………………………………………………….….....................29 1.6.1 Desmosomes…………………………………………….…...............................29 1.6.2 Hemidesmosomes……………………………………….…...............................30 1.6.3 Tight Junctions………………………….……………….…...............................32 1.6.4 Gap Junctions………………………….……………….….................................32 -
Jonas SG Silvander: Keratins in the Endocrine Pancreas
Jonas S.G. Silvander Keratins in the endocrine pancreas - Novel regulators of cellular processes in β-cells This Ph.D. thesis describes the role of keratins in the endocrine pancreas. It shows that keratins are maintaining normal insulin levels by involvement Jonas S.G. Silvander | Keratins 2018 in the endocrine pancreas| Jonas S.G. Silvander in β-cell mitochondrial ATP production and insulin vesicle morphology. On systemic level, keratins in β-cells regulate basal blood glucose levels, most Keratins in the endocrine pancreas likely in combination with insulin sensitive tissues. In addition, keratins are crucial for β-cell stress - Novel regulators of cellular processes in β-cells protection against chemically induced T1D in mice. These novel findings on insulin production and cell stress protection in β-cells, shed light on the potential role of keratins in diabetes susceptibility and progression. The author graduated from Ålands Lyceum, Marie- hamn, in 2007. He recieved his M.Sc. in Biomedical Imaging from Åbo Akademi University in May 2013. Since August 2013, he has been working as a Ph.D. student in Diana Toivola’s Epithelial Biology Labora- tory at Åbo Akademi University. 9 789521 236648 ISBN 978-952-12-3664-8 Keratins in the endocrine pancreas - Novel regulators of cellular processes in β-cells Jonas S.G. Silvander Cell biology Faculty of Science and Engineering Åbo Akademi University Turku, Finland 2018 The research projects were conducted at Cell biology, Faculty of Science and Engineering, Åbo Akademi University. Supervised by Diana Toivola, Ph.D. Cell biology Faculty of Science and Engineering Åbo Akademi University Finland Reviewed by Emilia Peuhu, Ph.D. -
MALE Protein Name Accession Number Molecular Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean H Mean PDAC Mean T-Test PDAC Vs. H T-Test
MALE t-test t-test Accession Molecular H PDAC PDAC vs. PDAC vs. Protein Name Number Weight CP1 CP2 H1 H2 PDAC1 PDAC2 CP Mean Mean Mean H CP PDAC/H PDAC/CP - 22 kDa protein IPI00219910 22 kDa 7 5 4 8 1 0 6 6 1 0.1126 0.0456 0.1 0.1 - Cold agglutinin FS-1 L-chain (Fragment) IPI00827773 12 kDa 32 39 34 26 53 57 36 30 55 0.0309 0.0388 1.8 1.5 - HRV Fab 027-VL (Fragment) IPI00827643 12 kDa 4 6 0 0 0 0 5 0 0 - 0.0574 - 0.0 - REV25-2 (Fragment) IPI00816794 15 kDa 8 12 5 7 8 9 10 6 8 0.2225 0.3844 1.3 0.8 A1BG Alpha-1B-glycoprotein precursor IPI00022895 54 kDa 115 109 106 112 111 100 112 109 105 0.6497 0.4138 1.0 0.9 A2M Alpha-2-macroglobulin precursor IPI00478003 163 kDa 62 63 86 72 14 18 63 79 16 0.0120 0.0019 0.2 0.3 ABCB1 Multidrug resistance protein 1 IPI00027481 141 kDa 41 46 23 26 52 64 43 25 58 0.0355 0.1660 2.4 1.3 ABHD14B Isoform 1 of Abhydrolase domain-containing proteinIPI00063827 14B 22 kDa 19 15 19 17 15 9 17 18 12 0.2502 0.3306 0.7 0.7 ABP1 Isoform 1 of Amiloride-sensitive amine oxidase [copper-containing]IPI00020982 precursor85 kDa 1 5 8 8 0 0 3 8 0 0.0001 0.2445 0.0 0.0 ACAN aggrecan isoform 2 precursor IPI00027377 250 kDa 38 30 17 28 34 24 34 22 29 0.4877 0.5109 1.3 0.8 ACE Isoform Somatic-1 of Angiotensin-converting enzyme, somaticIPI00437751 isoform precursor150 kDa 48 34 67 56 28 38 41 61 33 0.0600 0.4301 0.5 0.8 ACE2 Isoform 1 of Angiotensin-converting enzyme 2 precursorIPI00465187 92 kDa 11 16 20 30 4 5 13 25 5 0.0557 0.0847 0.2 0.4 ACO1 Cytoplasmic aconitate hydratase IPI00008485 98 kDa 2 2 0 0 0 0 2 0 0 - 0.0081 - 0.0 -
Mutant‑Allele Tumor Heterogeneity in Malignant Glioma Effectively Predicts Neoplastic Recurrence
6108 ONCOLOGY LETTERS 18: 6108-6116, 2019 Mutant‑allele tumor heterogeneity in malignant glioma effectively predicts neoplastic recurrence PENGFEI WU, WEI YANG, JIANXING MA, JINGYU ZHANG, MAOJUN LIAO, LUNSHAN XU, MINHUI XU and LIANG YI Department of Neurosurgery, Daping Hospital and Institute Research of Surgery, Army Medical University, Chongqing 400042, P.R. China Received March 13, 2019; Accepted September 6, 2019 DOI: 10.3892/ol.2019.10978 Abstract. Intra-tumor heterogeneity (ITH) is one of the most RFS of patients with glioma. In conclusion, the MATH value important causes of therapy resistance, which eventually of a patient may be an independent predictor that influences leads to the poor outcomes observed in patients with glioma. glioma recurrence. The nomogram model presented in the Mutant-allele tumor heterogeneity (MATH) values are based current study was an appropriate method to predict 1-, 2- and on whole‑exon sequencing and precisely reflect genetic ITH. 5-year RFS probabilities in patients with glioma. However, the significance of MATH values in predicting glioma recurrence remains unclear. Information of patients Introduction with glioma was obtained from The Cancer Genome Atlas database. The present study calculated the MATH value for Glioma is the most common primary malignant tumor in each patient, analyzed the distributions of MATH values the central nervous system (1). Despite surgery and radio- in different subtypes and investigated the rates of clinical therapy, chemotherapy and targeted therapy, the majority of recurrence in patients with different MATH values. Gene malignant gliomas still recur (2,3), which is primarily due enrichment and Cox regression analyses were performed to to chemo-radiotherapy resistance (4). -
Cutaneous Manifestations of Systemic Disease
Updates on Canine Atopic Dermatitis Karen L. Campbell, DVM, MS, DACVIM, DACVD Professor Emerita, University of Illinois Clinical Professor of Dermatology, University of Missouri Allergies in dogs Atopic Dermatitis • Affects 10-15% of dogs • Pathogenesis – Genetics – Immunological – Structural • Risk factors – Breed – Environment – Birthdate Implications: not a homogenous disease—many factors involved Genetics of Atopic Dermatitis • Breeds predisposed • Terriers, setters, beagles, boxers, Lhaso Apso, pug, bulldogs, miniature schnauzer, retrievers, Dalmatian, GSD, others • Breeding study (labs, retrievers) • 2 atopic parents: 65% offspring atopic • 1 atopic 1 normal: 57% offspring atopic • 2 normal parents: 11% offspring atopic Implication – ideal not to breed affected dogs Gene Mutations & AD • Filaggrin • Plakophilin 2 • SPINK5 • PPARγ • IgA deficiency (GSD) • Pro-inflammatory • S100A8 • INPPL1 • DPP4 Marsella R et al: TEM studies in experimental model of K9 AD. Vet Derm 21:81-88, 2010. Implications: not a homogenous disease, many targets for treatment, effectiveness of treatment may vary depending on cause in the individual dog Skin Barrier Dysfunction in AD Immunology of Atopy • Allergen exposure • Predominantly percutaneous • Increased absorption of allergens in dogs with defective skin barrier function • Antigen Processing Cells: • Langerhans cells and keratinocytes in skin • Present antigens to T- helper and B-cells to stimulate Ig production • Sites of Ig production • regional lymph nodes Immunological Imbalances in Atopy • Increased -
Transient Activation of ß-Catenin Signaling in Cutaneous Keratinocytes Is Sufficient to Trigger the Active Growth Phase Of
Downloaded from genesdev.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press RESEARCH COMMUNICATION Transient activation cogen synthase kinase-3 (GSK-3; for review, see Peifer  and Polakis 2000). This complex promotes phosphoryla- of -catenin signaling tion of -catenin at a number of N-terminal serine and in cutaneous keratinocytes is threonine residues, and the phosphorylated -catenin is ubiquitinated and subsequently degraded by the protea- sufficient to trigger the active some. growth phase of the hair cycle Binding of Wnts to their cognate frizzled and low-den- sity lipoprotein receptor-related protein receptor com- in mice plexes on the cell surface leads to inhibition of GSK-3 activity and increased levels of free -catenin in the cell David Van Mater,1 Frank T. Kolligs,2,6 (Peifer and Polakis 2000). In cancers, inactivating muta- Andrzej A. Dlugosz,3,5,7 and Eric R. Fearon1,2,4,5,8 tions in the APC or axin proteins or activating mutations affecting N-terminal phosphorylation sites in -catenin 1Departments of Human Genetics, 2Internal Medicine, lead to stabilization of -catenin (Polakis 2000). Regard- 3Dermatology, and 4Pathology, and the 5Cancer Center, less of whether Wnt signals or mutational defects stabi- University of Michigan School of Medicine, lize -catenin, following its accumulation in the cell, Ann Arbor, Michigan 48109, USA -catenin can complex in the nucleus with T cell factor/ lymphoid enhancer factor (TCF/LEF) transcription regu- Wnts have key roles in many developmental processes, lators, leading to activation of TCF-regulated genes (a list including hair follicle growth and differentiation. Stabi- of candidate TCF target genes is provided at: http:// lization of -catenin is essential in the canonical Wnt www.stanford.edu/∼rnusse/wntwindow.html). -
Regulation of Keratin Filament Network Dynamics
Regulation of keratin filament network dynamics Von der Fakultät für Mathematik, Informatik und Naturwissenschaften der RWTH Aachen University zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften genehmigte Dissertation vorgelegt von Diplom Biologe Marcin Maciej Moch aus Dzierżoniów (früher Reichenbach, NS), Polen Berichter: Universitätsprofessor Dr. med. Rudolf E. Leube Universitätsprofessor Dr. phil. nat. Gabriele Pradel Tag der mündlichen Prüfung: 19. Juni 2015 Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verfügbar. This work was performed at the Institute for Molecular and Cellular Anatomy at University Hospital RWTH Aachen by the mentorship of Prof. Dr. med. Rudolf E. Leube. It was exclusively performed by myself, unless otherwise stated in the text. 1. Reviewer: Univ.-Prof. Dr. med. Rudolf E. Leube 2. Reviewer: Univ.-Prof. Dr. phil. nat. Gabriele Pradel Ulm, 15.02.2015 2 Publications Publications Measuring the regulation of keratin filament network dynamics. Moch M, and Herberich G, Aach T, Leube RE, Windoffer R. 2013. Proc Natl Acad Sci U S A. 110:10664-10669. Intermediate filaments and the regulation of focal adhesion. Leube RE, Moch M, Windoffer R. 2015. Current Opinion in Cell Biology. 32:13–20. "Panta rhei": Perpetual cycling of the keratin cytoskeleton. Leube RE, Moch M, Kölsch A, Windoffer R. 2011. Bioarchitecture. 1:39-44. Intracellular motility of intermediate filaments. Leube RE, Moch M, Windoffer R. Under review in: The Cytoskeleton. Editors: Pollard T., Dutcher S., Goldman R. Cold Springer Harbor Laboratory Press, Cold Spring Harbor. Multidimensional monitoring of keratin filaments in cultured cells and in tissues. Schwarz N, and Moch M, Windoffer R, Leube RE. -
Supplementary Material Contents
Supplementary Material Contents Immune modulating proteins identified from exosomal samples.....................................................................2 Figure S1: Overlap between exosomal and soluble proteomes.................................................................................... 4 Bacterial strains:..............................................................................................................................................4 Figure S2: Variability between subjects of effects of exosomes on BL21-lux growth.................................................... 5 Figure S3: Early effects of exosomes on growth of BL21 E. coli .................................................................................... 5 Figure S4: Exosomal Lysis............................................................................................................................................ 6 Figure S5: Effect of pH on exosomal action.................................................................................................................. 7 Figure S6: Effect of exosomes on growth of UPEC (pH = 6.5) suspended in exosome-depleted urine supernatant ....... 8 Effective exosomal concentration....................................................................................................................8 Figure S7: Sample constitution for luminometry experiments..................................................................................... 8 Figure S8: Determining effective concentration ......................................................................................................... -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7