Snail Regulates BMP and Tgfβ Pathways to Control the Differentiation Status of Glioma-Initiating Cells
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Transforming Growth Factor-Beta Family Members Are Regulated During Induced Luteolysis in Cattle
a https://doi.org/10.21451/1984-3143-AR2018-0146 Original Article Animal Reproduction Anim Reprod. 2019;16(4):829-837 Transforming growth factor-beta family members are regulated during induced luteolysis in cattle Cristina Sangoi Haas1, Monique Tomazele Rovani1 , Gustavo Freitas Ilha2 , Kalyne Bertolin2 , Juliana Germano Ferst2 , Alessandra Bridi2 , Vilceu Bordignon3 , Raj Duggavathi3, Alfredo Quites Antoniazzi2 , Paulo Bayard Dias Gonçalves2 , Bernardo Garziera Gasperin1* 1Universidade Federal de Pelotas, Departamento de Patologia Animal, Capão do Leão, RS, Brasil 2Universidade Federal de Santa Maria, Laboratório de Biotecnologia e Reprodução Animal, Santa Maria, RS, Brasil 3McGill University, Department of Animal Science, Sainte-Anne-de-Bellevue, QC, Canada Abstract cell death and tissue remodeling (Miyamoto et al., 2009; Skarzynski and Okuda, 2010; Shirasuna et al., 2012). The transforming growth factors beta (TGFβ) Despite its essential role in reproduction, the cellular and are local factors produced by ovarian cells which, after molecular mechanisms mediating CL regression are not binding to their receptors, regulate follicular deviation fully understood. It is well established that CLs are not fully and ovulation. However, their regulation and function responsive to PGF until day 5-6 after ovulation, whereas during corpus luteum (CL) regression has been poorly after days 15-17, in the absence of gestation, spontaneous investigated. The present study evaluated the mRNA luteolysis occurs. Thus, performing PGF treatment on day regulation of some TGFβ family ligands and their receptors 10 after ovulation represents an adequate model to study in the bovine CL during induced luteolysis in vivo. On day CL regression, because all the CLs are fully responsive to 10 of the estrous cycle, cows received an injection of PGF and still functional. -
GDF15/GFRAL Pathway As a Metabolic Signature for Cachexia In
Journal of Cancer 2021, Vol. 12 1125 Ivyspring International Publisher Journal of Cancer 2021; 12(4): 1125-1132. doi: 10.7150/jca.50376 Review GDF15/GFRAL Pathway as a Metabolic Signature for Cachexia in Patients with Cancer Darakhshan Sohail Ahmed1,2, Stéphane Isnard1,2,3, John Lin1,2, Bertrand Routy4,5, Jean-Pierre Routy1,2,6 1. Infectious Disease and Immunity in Global Health Program, Research Institute of McGill University Health Centre, Montreal, QC, Canada 2. Division of Hematology and Chronic Viral Illness Service, McGill University Health Centre, Montreal, QC, Canada 3. CIHR Canadian HIV Trials Network, Vancouver, BC 4. Division of Hémato-oncologie, Centre hospitalier de l’Université de Montréal 5. Centre de recherche du Centre hospitalier de l’Université de Montréal 6. Division of Hematology, McGill University Health Centre, Montreal, QC, Canada Corresponding author: Dr. Jean-Pierre Routy. Email: [email protected] © The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. Received: 2020.07.06; Accepted: 2020.11.06; Published: 2021.01.01 Abstract Cachexia is a metabolic mutiny that directly reduces life expectancy in chronic conditions such as cancer. The underlying mechanisms associated with cachexia involve inflammation, metabolism, and anorexia. Therefore, the need to identify cachexia biomarkers is warranted to better understand catabolism change and assess various therapeutic interventions. Among inflammatory proteins, growth differentiation factor-15 (GDF15), an atypical transforming growth factor-beta (TGF-β) superfamily member, emerges as a stress-related hormone. -
GDF11, GDF15), Eotaxin-1 (CCL11) and Junctional Adhesion Molecule a (JAM-A) in the Regulation of Blood Pressure in Women with Essential Hypertension
MOJ Gerontology & Geriatrics Research Article Open Access The role of growth differentiation factors 11 and 15 (GDF11, GDF15), eotaxin-1 (CCL11) and junctional adhesion molecule a (JAM-A) in the regulation of blood pressure in women with essential hypertension Abstract Volume 3 Issue 1 - 2018 Introduction: Evaluation of biomarkers of arterial hypertension (AH) could be Kuznik BI,1,2 Davydov SO,1,2 Stepanov AV,1,2 considered to be useful at early stages of hypertension. Guseva ES,1,2 Smolyakov YN,1 Tsybikov NN,1 Objective: We hypothesized that the levels of junctional adhesion molecule-A Magen E3 (JAM-A), eotaxin/C-C motif chemokine ligand 11 (CCL11), growth differentiation 1Chita State Medical Academy, Russia factor 11 (GDF11), and growth differentiation factor-15 (GDF15) might be a 2Innovative Clinic Health Academy, Russia biochemical markers of AH. 3Medicine C Department, Clinical Immunology and Allergy Division, Ben Gurion University of the Negev, Israel Methods: We examined the association between blood levels of these chemokines and blood pressure in middle-aged female hypertensives in three groups; 37 patients Correspondence: Eli Magen MD, Medicine C Department, treated by antihypertensive medications (T-AH) group, 16 untreated hypertensive Clinical Immunology and Allergy Division, Ben Gurion University patients (U-AH group) and 29 healthy subjects (control group). JAM-A, CCL11, of Negev, Zionut 21/33, Ashdod, 77456, Israel, GDF11, and GDF15 concentrations were evaluated with ELISA. Email [email protected] Results: The patients of T-AH group and UT-AH group were characterized by higher Received: December 01, 2017 | Published: February 09, 2018 blood levels of GDF15 (13.9±0.9 pg/ml - T-AH group and 14.6±5.9 pg/ml - UT-AH group) than normotensive control subjects (6.1±2.3 pg/dl; p<0.001). -
Growth/Differentiation Factor 15 Causes Tgfβ-Activated Kinase 1
Skeletal Muscle Thorax: first published as 10.1136/thoraxjnl-2017-211440 on 15 December 2018. Downloaded from ORIGINAL ARTICLE Growth/differentiation factor 15 causes TGFβ- activated kinase 1-dependent muscle atrophy in pulmonary arterial hypertension Benjamin E Garfield,1,2 Alexi Crosby,3 Dongmin Shao,1,2 Peiran Yang,3 Cai Read,3 Steven Sawiak,3 Stephen Moore,3 Lisa Parfitt,2 Carl Harries,2 Martin Rice,3 Richard Paul,4 Mark L Ormiston,5 Nicholas W Morrell,3 Michael I Polkey,4 Stephen John Wort,1,2 Paul R Kemp1 ► Additional material is ABSTRact published online only. To view Introduction Skeletal muscle dysfunction is a Key messages please visit the journal online (http:// dx. doi. org/ 10. 1136/ clinically important complication of pulmonary arterial thoraxjnl- 2017- 211440). hypertension (PAH). Growth/differentiation factor What is the key question? 15 (GDF-15), a prognostic marker in PAH, has been ► What is the association between growth/ For numbered affiliations see associated with muscle loss in other conditions. We differentiation factor 15 (GDF-15) and muscle end of article. aimed to define the associations ofG DF-15 and muscle wasting in pulmonary arterial hypertension? Correspondence to wasting in PAH, to assess its utility as a biomarker of What is the bottom line? Dr Stephen John Wort, Section muscle loss and to investigate its downstream signalling ► GDF-15 is a responsive biomarker for muscle of Vascular Biology, NHLI, pathway as a therapeutic target. wasting in pulmonary arterial hypertension Imperial College London, Methods GDF-15 levels and measures of muscle size London SW3 6PT, UK; that acts through TGFβ-activated kinase s. -
GDF15 Plasma Level Is Inversely Associated with Level of Physical Activity and Correlates with Markers of Inflammation and Muscl
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Archivio istituzionale della ricerca - Alma Mater Studiorum Università di Bologna ORIGINAL RESEARCH published: 12 May 2020 doi: 10.3389/fimmu.2020.00915 GDF15 Plasma Level Is Inversely Associated With Level of Physical Activity and Correlates With Markers of Inflammation and Muscle Weakness Maria Conte 1*†, Morena Martucci 1, Giovanni Mosconi 2, Antonio Chiariello 1, Maria Cappuccilli 1, Valentina Totti 3, Aurelia Santoro 1, Claudio Franceschi 4 and Stefano Salvioli 1 1 Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy, 2 Nephrology and Dialysis, Morgagni-Pierantoni Hospital, AUSL Romagna, Forlì, Italy, 3 Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy, 4 Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia Edited by: Moisés Evandro Bauer, Growth differentiation factor 15 (GDF15) is a stress molecule produced in response to Pontifical Catholic University of Rio mitochondrial, metabolic and inflammatory stress with a number of beneficial effects on Grande Do Sul, Brazil metabolism. However, at the level of skeletal muscle it is still unclear whether GDF15 is Reviewed by: Gilson Dorneles, beneficial or detrimental. The aim of the study was to analyse the levels of circulating Federal University of Health Sciences GDF15 in people of different age, characterized by different level of physical activity of Porto Alegre, Brazil Karsten Krüger, and to seek for correlation with hematological parameters related to inflammation. The Leibniz University Hannover, Germany plasma concentration of GDF15 was determined in a total of 228 subjects in the age Will Trim, range from 18 to 83 years. -
Mechanically-Induced GDF15 Secretion by Periodontal Ligament
www.nature.com/scientificreports OPEN Mechanically-induced GDF15 Secretion by Periodontal Ligament Fibroblasts Regulates Osteogenic Received: 14 March 2019 Accepted: 17 July 2019 Transcription Published: xx xx xxxx Judit Symmank 1, Sarah Zimmermann2, Jutta Goldschmitt3, Eik Schiegnitz3, Michael Wolf4, Heinrich Wehrbein2 & Collin Jacobs1 The alveolar bone provides structural support against compressive and tensile forces generated during mastication as well as during orthodontic treatment. To avoid abnormal alveolar bone resorption and tooth loss, a balanced bone turnover by bone-degrading osteoclasts and bone-generating osteoblasts is of great relevance. Unlike its contradictory role in regulating osteoclast and osteoblast cell diferentiation, the TGF-β/BMP-family member GDF15 is well known for its important functions in the regulation of cell metabolism, as well as cell fate and survival in response to cellular stress. Here, we provide frst evidence for a potential role of GDF15 in translating mechanical stimuli into cellular changes in immature osteoblasts. We detected enhanced levels of GDF15 in vivo in periodontal ligament cells after the simulation of tooth movement in rat model system as well as in vitro in mechanically stressed human periodontal ligament fbroblasts. Moreover, mechanical stimulation enhanced GDF15 secretion by periodontal ligament cells and the stimulation of human primary osteoblast with GDF15 in vitro resulted in an increased transcription of osteogenic marker genes like RUNX2, osteocalcin (OCN) and alkaline phosphatase (ALP). Together, the present data emphasize for the frst time a potential function of GDF15 in regulating diferentiation programs of immature osteoblasts according to mechanical stimulation. Te continuous remodeling of the alveolar bone in response to mechanical stimulation maintains strength, prevents tissue damage and secures teeth anchorage1. -
TGF Beta Signaling Pathway 1 TGF Beta Signaling Pathway
TGF beta signaling pathway 1 TGF beta signaling pathway The Transforming growth factor beta (TGFβ) signaling pathway is involved in many cellular processes in both the adult organism and the developing embryo including cell growth, cell differentiation, apoptosis, cellular homeostasis and other cellular functions. In spite of the wide range of cellular processes that the TGFβ signaling pathway regulates, the process is relatively simple. TGFβ superfamily ligands bind to a type II receptor, which recruits and phosphorylates a type I receptor. The type I receptor then phosphorylates receptor-regulated SMADs (R-SMADs) which can now bind the coSMAD SMAD4. R-SMAD/coSMAD complexes accumulate in the nucleus where they act as transcription factors and participate in the regulation of target gene expression. Mechanism Ligand Binding The TGF Beta superfamily of ligands include: Bone morphogenetic proteins (BMPs), Growth and differentiation factors (GDFs), Anti-müllerian hormone (AMH), Activin, Nodal and TGFβ's[1] . Signalling begins with the binding of a TGF beta superfamily ligand to a TGF beta type II receptor. The type II receptor is a serine/threonine receptor kinase, which catalyses the phosphorylation of the Type I receptor. Each class of ligand binds to a specific type II receptor[2] .In mammals there are seven known type I receptors and five type II receptors[3] . There are three activins: Activin A, Activin B and Activin AB. Activins are involved in embryogenesis and osteogenesis. They also regulate many hormones including pituitary, gonadal and hypothalamic hormones as well as insulin. They are also nerve cell survival factors. The BMPs bind to the Bone morphogenetic protein receptor type-2 (BMPR2). -
Three Epigenetic Biomarkers, GDF15, TMEFF2, and VIM, Accurately Predict Bladder Cancer from DNA-Based Analyses of Urine Samples
Published OnlineFirst October 25, 2010; DOI: 10.1158/1078-0432.CCR-10-1312 Clinical Cancer Imaging, Diagnosis, Prognosis Research Three Epigenetic Biomarkers, GDF15, TMEFF2, and VIM, Accurately Predict Bladder Cancer from DNA-Based Analyses of Urine Samples Vera L. Costa1,2,3,4, Rui Henrique1,5,6, Stine A. Danielsen3,4, Sara Duarte-Pereira1,2, Mette Eknaes3,4, Rolf I. Skotheim3,4, Angelo^ Rodrigues5, Jose S. Magalhaes~ 7, Jorge Oliveira7, Ragnhild A. Lothe3,4,8, Manuel R. Teixeira2,4,6,9, Carmen Jeronimo 1,2,6, and Guro E. Lind3,4 Abstract Purpose: To identify a panel of epigenetic biomarkers for accurate bladder cancer (BlCa) detection in urine sediments. Experimental Design: Gene expression microarray analysis of BlCa cell lines treated with 5-aza-20- deoxycytidine and trichostatin A as well as 26 tissue samples was used to identify a list of novel methylation candidates for BlCa. Methylation levels of candidate genes were quantified in 4 BlCa cell lines, 50 BlCa tissues, 20 normal bladder mucosas (NBM), and urine sediments from 51 BlCa patients and 20 healthy donors, 19 renal cancer patients, and 20 prostate cancer patients. Receiver operator characteristic curve analysis was used to assess the diagnostic performance of the gene panel. Results: GDF15, HSPA2, TMEFF2, and VIM were identified as epigenetic biomarkers for BlCa. The methylation levels were significantly higher in BlCa tissues than in NBM (P < 0.001) and the cancer specificity was retained in urine sediments (P < 0.001). A methylation panel comprising GDF15, TMEFF2, and VIM correctly identified BlCa tissues with 100% sensitivity and specificity. In urine samples, the panel achieved a sensitivity of 94% and specificity of 100% and an area under the curve of 0.975. -
6 Signaling and BMP Antagonist Noggin in Prostate Cancer
[CANCER RESEARCH 64, 8276–8284, November 15, 2004] Bone Morphogenetic Protein (BMP)-6 Signaling and BMP Antagonist Noggin in Prostate Cancer Dominik R. Haudenschild, Sabrina M. Palmer, Timothy A. Moseley, Zongbing You, and A. Hari Reddi Center for Tissue Regeneration and Repair, Department of Orthopedic Surgery, School of Medicine, University of California, Davis, Sacramento, California ABSTRACT antagonists has recently been discovered. These are secreted proteins that bind to BMPs and reduce their bioavailability for interactions It has been proposed that the osteoblastic nature of prostate cancer with the BMP receptors. Extracellular BMP antagonists include nog- skeletal metastases is due in part to elevated activity of bone morphoge- gin, follistatin, sclerostatin, chordin, DCR, BMPMER, cerberus, netic proteins (BMPs). BMPs are osteoinductive morphogens, and ele- vated expression of BMP-6 correlates with skeletal metastases of prostate gremlin, DAN, and others (refs. 11–16; reviewed in ref. 17). There are cancer. In this study, we investigated the expression levels of BMPs and several type I and type II receptors that bind to BMPs with different their modulators in prostate, using microarray analysis of cell cultures affinities. BMP activity is also regulated at the cell membrane level by and gene expression. Addition of exogenous BMP-6 to DU-145 prostate receptor antagonists such as BAMBI (18), which acts as a kinase- cancer cell cultures inhibited their growth by up-regulation of several deficient receptor. Intracellularly, the regulation of BMP activity at cyclin-dependent kinase inhibitors such as p21/CIP, p18, and p19. Expres- the signal transduction level is even more complex. There are inhib- sion of noggin, a BMP antagonist, was significantly up-regulated by itory Smads (Smad-6 and Smad-7), as well as inhibitors of inhibitory BMP-6 by microarray analysis and was confirmed by quantitative reverse Smads (AMSH and Arkadia). -
Fibroblasts from the Human Skin Dermo-Hypodermal Junction Are
cells Article Fibroblasts from the Human Skin Dermo-Hypodermal Junction are Distinct from Dermal Papillary and Reticular Fibroblasts and from Mesenchymal Stem Cells and Exhibit a Specific Molecular Profile Related to Extracellular Matrix Organization and Modeling Valérie Haydont 1,*, Véronique Neiveyans 1, Philippe Perez 1, Élodie Busson 2, 2 1, 3,4,5,6, , Jean-Jacques Lataillade , Daniel Asselineau y and Nicolas O. Fortunel y * 1 Advanced Research, L’Oréal Research and Innovation, 93600 Aulnay-sous-Bois, France; [email protected] (V.N.); [email protected] (P.P.); [email protected] (D.A.) 2 Department of Medical and Surgical Assistance to the Armed Forces, French Forces Biomedical Research Institute (IRBA), 91223 CEDEX Brétigny sur Orge, France; [email protected] (É.B.); [email protected] (J.-J.L.) 3 Laboratoire de Génomique et Radiobiologie de la Kératinopoïèse, Institut de Biologie François Jacob, CEA/DRF/IRCM, 91000 Evry, France 4 INSERM U967, 92260 Fontenay-aux-Roses, France 5 Université Paris-Diderot, 75013 Paris 7, France 6 Université Paris-Saclay, 78140 Paris 11, France * Correspondence: [email protected] (V.H.); [email protected] (N.O.F.); Tel.: +33-1-48-68-96-00 (V.H.); +33-1-60-87-34-92 or +33-1-60-87-34-98 (N.O.F.) These authors contributed equally to the work. y Received: 15 December 2019; Accepted: 24 January 2020; Published: 5 February 2020 Abstract: Human skin dermis contains fibroblast subpopulations in which characterization is crucial due to their roles in extracellular matrix (ECM) biology. -
Involvement of TGF-ß Receptor– and Integrin-Mediated Signaling Pathways in the Pathogenesis of Granular Corneal Dystrophy II
Biochemistry and Molecular Biology Involvement of TGF- Receptor– and Integrin-Mediated Signaling Pathways in the Pathogenesis of Granular Corneal Dystrophy II Seung-il Choi,1 Yeong-Min Yoo,2 Bong-Yoon Kim,1 Tae-im Kim,1 Hyun-ju Cho,1 So-yoen Ahn,1 Hyung Keun Lee,1 Hyun-Soo Cho,3 and Eung Kweon Kim1 PURPOSE. The purpose of this study was to elucidate the (Invest Ophthalmol Vis Sci. 2010;51:1832–1847) DOI: pathophysiological process in primary cultured corneal fibro- 10.1167/iovs.09-4149 blasts (PCFs) from normal subjects and granular corneal dys- trophy (GCD) II patients, by using cDNA microarrays. ranular corneal dystrophy II (GCD II) is a disorder char- METHODS. PCFs were isolated from the corneas of normal Gacterized by age-dependent progressive accumulation of subjects and GCD II patients who were heterozygous and protein deposits in the corneal epithelia and stroma, followed homozygous for the TGFBI R124H mutation. RNA was isolated by disruption of corneal transparency. GCD II is an autosomal from each sample, and gene expression profiles were analyzed dominant disorder caused by a point mutation (R124H) in the with a cDNA microarray consisting of approximately 29,000 transforming growth factor--induced gene (TGFBI) on chro- genes. Cell adhesion assays were performed to confirm the mosome 5, region q31.1,2 TGFBI encodes a highly conserved functionality of the detected gene expression profiles. 683 amino acid protein (TGFBIp) that contains a secretary signal sequence and an Arg-Gly-Asp (RGD) motif that serves as RESULTS. Twofold differences were detected in the expression a ligand recognition site for integrins.1 TGFBIp is a component of 555 genes between wild-type and homozygous GCD II PCFs.