Regenerating Proteins and Their Expression, Regulation, and Signaling
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Non-Invasive Biomarkers for Earlier Detection of Pancreatic Cancer—A Comprehensive Review
cancers Review Non-Invasive Biomarkers for Earlier Detection of Pancreatic Cancer—A Comprehensive Review Greta Brezgyte †, Vinay Shah † , Daria Jach and Tatjana Crnogorac-Jurcevic * Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; [email protected] (G.B.); [email protected] (V.S.); [email protected] (D.J.) * Correspondence: [email protected] † Shared first authorship. Simple Summary: Pancreatic ductal adenocarcinoma (PDAC), which represents approximately 90% of all pancreatic cancers, is an extremely aggressive and lethal disease. It is considered a silent killer due to a largely asymptomatic course and late clinical presentation. Earlier detection of the disease would likely have a great impact on changing the currently poor survival figures for this malignancy. In this comprehensive review, we assessed over 4000 reports on non-invasive PDAC biomarkers in the last decade. Applying the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool, we selected and reviewed in more detail 49 relevant studies reporting on the most promising candidate biomarkers. In addition, we also highlight the present challenges and complexities of translating novel biomarkers into clinical use. Abstract: Pancreatic ductal adenocarcinoma (PDAC) carries a deadly diagnosis, due in large part to delayed presentation when the disease is already at an advanced stage. CA19-9 is currently the most commonly utilized biomarker for PDAC; however, it lacks the necessary accuracy to detect precursor lesions or stage I PDAC. Novel biomarkers that could detect this malignancy with Citation: Brezgyte, G.; Shah, V.; Jach, improved sensitivity (SN) and specificity (SP) would likely result in more curative resections and D.; Crnogorac-Jurcevic, T. -
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. -
REG Gene Expression in Inflamed and Healthy Colon Mucosa Explored by in Situ Hybridisation
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Crossref Cell Tissue Res (2013) 352:639–646 DOI 10.1007/s00441-013-1592-z REGULAR ARTICLE REG gene expression in inflamed and healthy colon mucosa explored by in situ hybridisation Atle van Beelen Granlund & Ann Elisabet Østvik & Øystein Brenna & Sverre H. Torp & Bjørn I. Gustafsson & Arne Kristian Sandvik Received: 10 December 2012 /Accepted: 14 February 2013 /Published online: 22 March 2013 # The Author(s) 2013. This article is published with open access at Springerlink.com Abstract The regenerating islet-derived (REG) gene family used in situ hybridisation to demonstrate the cellular encodes a group of proteins highly expressed in several localisation of REG expression in healthy and diseased human pathologies, many of which are associated with colonic mucosa. Samples drawn from an IBD cohort includ- epithelial inflammation. All human family members, name- ing both inflamed and un-inflamed colonic mucosa are ly REG1A, REG1B, REG3A and REG4, are closely related described, as are samples from non-IBD inflammation and in genomic sequence and all are part of the c-type lectin healthy controls. Immunohistochemistry against known superfamily. REGs are highly expressed during inflamma- cell-type markers on serial sections has localised the expres- tory bowel disease (IBD)-related colonic inflammation and sion of REGs to metaplastic Paneth cells (REG1A, REG1B the in vivo expression pattern of REG1A and REG4 has and REG3A) and enteroendocrine cells (REG4), with a been localised by using immunohistochemistry. However, marked expansion of expression during inflammation. The the function of the encoded proteins is largely unknown and group of REGs can, based on gene expression patterns, be the cellular localisation of REG expression during colonic divided into at least two groups; REG1A, REG1B and inflammation has not been described. -
Reg Proteins Promote Acinar-To-Ductal Metaplasia and Act As Novel Diagnostic and Prognostic Markers in Pancreatic Ductal Adenocarcinoma
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 47 Research Paper Reg proteins promote acinar-to-ductal metaplasia and act as novel diagnostic and prognostic markers in pancreatic ductal adenocarcinoma Qing Li1,*, Hao Wang2,*, George Zogopoulos3,4, Qin Shao5, Kun Dong6, Fudong Lv6, Karam Nwilati1, Xian-yong Gui7, Adeline Cuggia4, Jun-Li Liu1, Zu-hua Gao5 1Fraser Laboratories for Diabetes Research, Department of Medicine, McGill University Health Centre, Montreal, QC, Canada 2Department of Oncology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China 3Department of Surgery, McGill University Health Centre, Montreal, QC, Canada 4Quebec Pancreas Cancer Study, McGill University Health Centre, Montreal, QC, Canada 5Department of Pathology, McGill University Health Centre, Montreal, QC, Canada 6Department of Pathology, You An Hospital, Capital Medical University, Beijing, China 7Department of Pathology, University of Calgary, Calgary, AB, Canada *These authors have contributed equally Correspondence to: Zu-hua Gao, email: [email protected] Jun-Li Liu, email: [email protected] Keywords: Reg family proteins, pancreatic ductal adenocarcinoma, acinar-to-ductal metaplasia, pancreatic intraepithelial neoplasia, cholangiocarcinoma Received: March 01, 2016 Accepted: October 13, 2016 Published: October 24, 2016 ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignant tumor. Acinar-to-ductal metaplasia (ADM) and pancreatic intraepithelial neoplasia (PanIN) are both precursor lesions that lead to the development of PDAC. Reg family proteins (Reg1A, 1B, 3A/G, 4) are a group of calcium-dependent lectins that promote islet growth in response to inflammation and/or injuries. The aim of this study was to establish a role for Reg proteins in the development of PDAC and their clinical value as biomarkers. -
Human Lectins, Their Carbohydrate Affinities and Where to Find Them
biomolecules Review Human Lectins, Their Carbohydrate Affinities and Where to Review HumanFind Them Lectins, Their Carbohydrate Affinities and Where to FindCláudia ThemD. Raposo 1,*, André B. Canelas 2 and M. Teresa Barros 1 1, 2 1 Cláudia D. Raposo * , Andr1 é LAQVB. Canelas‐Requimte,and Department M. Teresa of Chemistry, Barros NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829‐516 Caparica, Portugal; [email protected] 12 GlanbiaLAQV-Requimte,‐AgriChemWhey, Department Lisheen of Chemistry, Mine, Killoran, NOVA Moyne, School E41 of ScienceR622 Co. and Tipperary, Technology, Ireland; canelas‐ [email protected] NOVA de Lisboa, 2829-516 Caparica, Portugal; [email protected] 2* Correspondence:Glanbia-AgriChemWhey, [email protected]; Lisheen Mine, Tel.: Killoran, +351‐212948550 Moyne, E41 R622 Tipperary, Ireland; [email protected] * Correspondence: [email protected]; Tel.: +351-212948550 Abstract: Lectins are a class of proteins responsible for several biological roles such as cell‐cell in‐ Abstract:teractions,Lectins signaling are pathways, a class of and proteins several responsible innate immune for several responses biological against roles pathogens. such as Since cell-cell lec‐ interactions,tins are able signalingto bind to pathways, carbohydrates, and several they can innate be a immuneviable target responses for targeted against drug pathogens. delivery Since sys‐ lectinstems. In are fact, able several to bind lectins to carbohydrates, were approved they by canFood be and a viable Drug targetAdministration for targeted for drugthat purpose. delivery systems.Information In fact, about several specific lectins carbohydrate were approved recognition by Food by andlectin Drug receptors Administration was gathered for that herein, purpose. plus Informationthe specific organs about specific where those carbohydrate lectins can recognition be found by within lectin the receptors human was body. -
In Silico Characterization of Class II Plant Defensins from Arabidopsis
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.27.065185; this version posted September 7, 2020. 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-NC-ND 4.0 International license. In silico Characterization of Class II Plant Defensins from Arabidopsis thaliana Laura S.M. Costa1,2, Állan S. Pires1, Neila B. Damaceno1, Pietra O. Rigueiras1, Mariana R. Maximiano1, Octavio L. Franco1,2,3, William F. Porto3,4* 1 Centro de Análises Proteômicas e Bioquímicas. Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília-DF, Brazil. 2 Departamento de Biologia, Programa de Pós-Graduação em Genética e Biotecnologia, Universidade Federal de Juiz de Fora, Campus Universitário, Juiz de Fora-MG, Brazil. 3 S-Inova Biotech, Pós-Graduação em Biotecnologia, Universidade Católica Dom Bosco, Campo Grande-MS, Brazil. 4 Porto Reports, Brasília-DF, Brazil – www.portoreports.com *Corresponding author: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.27.065185; this version posted September 7, 2020. 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-NC-ND 4.0 International license. Abstract Defensins comprise a polyphyletic group of multifunctional defense peptides. Cis- defensins, also known as cysteine stabilized αβ (CSαβ) defensins, are one of the most ancient defense peptide families. -
P. Gingivalis Lipopolysaccharide Stimulates the Upregulated Expression of the Pancreatic Cancer-Related Genes Regenerating Islet-Derived 3 A/G in Mouse Pancreas
International Journal of Molecular Sciences Article P. gingivalis Lipopolysaccharide Stimulates the Upregulated Expression of the Pancreatic Cancer-Related Genes Regenerating Islet-Derived 3 A/G in Mouse Pancreas Daichi Hiraki 1, Osamu Uehara 2 , Yasuhiro Kuramitsu 3, Tetsuro Morikawa 4, Fumiya Harada 5 , Koki Yoshida 4 , Kozo Akino 3, Itsuo Chiba 2, Masahiro Asaka 3 and Yoshihiro Abiko 4,* 1 Division of Reconstructive Surgery for Oral and Maxillofacial Region, Department of Human Biology and Pathophysiology, School of Dentistry, Health Sciences University of Hokkaido, 1757 Kanazawa, Ishikari-Tobetsu, Hokkaido 061-0293, Japan; [email protected] 2 Division of Disease Control and Molecular Epidemiology, Department of Oral Growth and Development, School of Dentistry, Health Sciences University of Hokkaido, 1757 Kanazawa, Ishikari-Tobetsu, Hokkaido 061-0293, Japan; [email protected] (O.U.); [email protected] (I.C.) 3 Research Institute of Cancer Prevention, Health Sciences University of Hokkaido, 1757 Kanazawa, Ishikari-Tobetsu, Hokkaido 061-0293, Japan; [email protected] (Y.K.); [email protected] (K.A.); [email protected] (M.A.) 4 Division of Oral Medicine and Pathology, Department of Human Biology and Pathophysiology, School of Dentistry, Health Sciences University of Hokkaido, 1757 Kanazawa, Ishikari-Tobetsu, Hokkaido 061-0293, Japan; [email protected] (T.M.); [email protected] (K.Y.) 5 Division of Oral and Maxillofacial Surgery, Department of Human Biology and Pathophysiology, School of Dentistry, Health Sciences University of Hokkaido, 1757 Kanazawa, Ishikari-Tobetsu, Hokkaido 061-0293, Japan; [email protected] * Correspondence: [email protected]; Tel.: +81-133-23-1211 Received: 4 September 2020; Accepted: 1 October 2020; Published: 5 October 2020 Abstract: Although epidemiological studies have shown a relationship between periodontal disease and pancreatic cancer, the molecular mechanisms involved remain unclear. -
Mouse REG1A Antibody
Published on Cell Applications (https://www.cellapplications.com) Home > Anti-REG1A: Mouse REG1A Antibody Anti-REG1A: Mouse REG1A Antibody Description Details Products Resources Product Sheet CP10353 Description ACKGROUND Regenerating gene (Reg), which is expressed in regenerating pancreatic islet, was first identified in the screening of regenerating islet-derived cDNA library taken from 90% depancreatized rat. Reg and Reg-related genes constitute a family within the superfamily of calcium-dependent lectin (C-type lectin). The C-type lectins are involved in several complex events, such as human malignancy and other diseases. The Reg gene family consists of a group of acute phase reactants, lectins, antiapoptotic factors, or growth factors for pancreatic islet cells, neural cells, and epithelial cells in the digestive system. Until now, 17 members of the Reg family have been identified and classified into four classes (Reg I-IV), based on the primary structures of the encoded proteins. Reg I proteins have two members of human REG I gene, REG1A and REG1B. Regenerating gene I alpha (REG1A) encodes a 166-amino-acid protein with a 22-amino-acid signal sequence. The REG1A protein is identical to the pancreatic thread protein, pancreatic stone protein, or protein X, and is highly represented in human pancreatic secretion. REG1A protein is a known growth factor affecting pancreatic islet beta cells and is secreted by the exocrine pancreas. It is associated with islet cell regeneration and diabetogenesis and may be involved in pancreatic lithogenesis. The REG1B gene codes for a transcript with 87% homology to the REG1A transcript. The secretory Reg I protein is synthesized in the regenerating beta cells, and through the Reg I receptor, stimulates the proliferation of pancreatic beta cells, leading to an increase in the beta cells mass in 90% depancreatized rats and nonobese diabetic mice and hence amelioration of experimental diabetes. -
LJELSR: a Strengthened Version of JELSR for Feature Selection and Clustering
Article LJELSR: A Strengthened Version of JELSR for Feature Selection and Clustering Sha-Sha Wu 1, Mi-Xiao Hou 1, Chun-Mei Feng 1,2 and Jin-Xing Liu 1,* 1 School of Information Science and Engineering, Qufu Normal University, Rizhao 276826, China; [email protected] (S.-S.W.); [email protected] (M.-X.H.); [email protected] (C.-M.F.) 2 Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen 518055, China * Correspondence: [email protected]; Tel.: +086-633-3981-241 Received: 4 December 2018; Accepted: 7 February 2019; Published: 18 February 2019 Abstract: Feature selection and sample clustering play an important role in bioinformatics. Traditional feature selection methods separate sparse regression and embedding learning. Later, to effectively identify the significant features of the genomic data, Joint Embedding Learning and Sparse Regression (JELSR) is proposed. However, since there are many redundancy and noise values in genomic data, the sparseness of this method is far from enough. In this paper, we propose a strengthened version of JELSR by adding the L1-norm constraint on the regularization term based on a previous model, and call it LJELSR, to further improve the sparseness of the method. Then, we provide a new iterative algorithm to obtain the convergence solution. The experimental results show that our method achieves a state-of-the-art level both in identifying differentially expressed genes and sample clustering on different genomic data compared to previous methods. Additionally, the selected differentially expressed genes may be of great value in medical research. Keywords: differentially expressed genes; feature selection; L1-norm; sample clustering; sparse constraint 1. -
Human REG3A / HIP Protein (His Tag)
Human REG3A / HIP Protein (His Tag) Catalog Number: 11235-H08H General Information SDS-PAGE: Gene Name Synonym: HIP; HIP/PAP; INGAP; PAP; PAP-H; PAP1; PBCGF; REG-III; REG3; REG3A; REG3V Protein Construction: A DNA sequence encoding the human REG3A (Q06141-1) (Met 1-Asp 175) precursor was fused with a polyhistidine tag at the C-terminus. Source: Human Expression Host: HEK293 Cells QC Testing Purity: > 97 % as determined by SDS-PAGE Endotoxin: Protein Description < 1.0 EU per μg of the protein as determined by the LAL method Regenerating islet-derived protein 3-alpha, also known as Regenerating islet-derived protein III-alpha, REG-3-alpha, REG3A, and HIP, is secreted Stability: protein which contains one C-type lectin domain. REG3A is constitutively expressed in intestine, and is a pancreatic secretory protein that may be ℃ Samples are stable for up to twelve months from date of receipt at -70 involved in cell proliferation or differentiation. It is overexpressed during the acute phase of pancreatitis and in some patients with chronic pancreatitis. Glu 27 Predicted N terminal: REG3A and REG1A proteins are both involved in liver and pancreatic Molecular Mass: regeneration and proliferation. REG3A is also a stress protein involved in the control of bacterial proliferation. REG3A is down-regulated in most The recombinant human REG3A consists of 160 amino acids after primary human gastric cancer cells, and might be useful in the diagnosis of removal of the signal peptide and has a predicted molecular mass of 18 gastric cancer. Additionally, REG3A is a target of beta-catenin signaling in kDa as estimated in SDS-PAGE under reducing conditions. -
Organoid ( ENR )
US 20190204299A1 ( 19) United States ( 12) Patent Application Publication ( 10 ) Pub . No. : US 2019 /0204299 A1 Mead et al. (43 ) Pub . Date : Jul. 4 , 2019 ( 54 ) SINGLE - CELL GENOMIC METHODS TO Publication Classification GENERATE EX VIVO CELL SYSTEMS THAT (51 ) Int . Ci. RECAPITULATE IN VIVO BIOLOGY WITH GOIN 33 /50 (2006 . 01 ) IMPROVED FIDELITY A61K 35 / 17 ( 2006 .01 ) C120 1 /6869 ( 2006 .01 ) ( 71) Applicants :Massachusetts Institute of C12N 5 /071 (2006 .01 ) Technology , Cambridge, MA (US ) ; The 2 ) U . S . CI. Brigham and Women ' s Hospital, Inc. , CPC . .. .. GOIN 33 /5023 ( 2013 .01 ) ; A6IK 35 / 17 Boston ,MA (US ) (2013 .01 ) ; C12Q 1 /6869 (2013 .01 ) ; GOIN 33 /5008 ( 2013 .01 ) ; CI2N 2501 / 999 ( 2013 .01 ) ; (72 ) Inventors : Benjamin E . Mead , Cambridge, MA C12N 5 / 068 (2013 . 01 ) ; C12N 2501 / 11 (US ) ; Jose Ordovas -Montanes , ( 2013 .01 ) ; C12N 2501/ 40 ( 2013 .01 ) ; C12N Cambridge , MA (US ); Alexander K . 2501 /998 ( 2013. 01 ) ; GOIN 33 /5011 (2013 . 01 ) Shalek , Cambridge , MA (US ) ; Jeffrey (57 ) ABSTRACT Karp , Boston , MA (US ) ; Robert Disclosed here is a generally applicable framework that Langer , Cambridge , MA (US ) utilizes massively - parallel single - cell RNA - seq to compare cell types/ states found in vivo to those of in vitro models . (21 ) Appl. No. : 16 /240 , 361 Furthermore , Applicants leverage identified discrepancies to improve model fidelity . Applicants uncover fundamental gene expression differences in lineage - defining genes ( 22 ) Filed : Jan . 4 , 2019 between in vivo systems and in vitro systems. Using this information , molecular interventions are identified for ratio nally improving the physiological fidelity of the in vitro Related U . -
Single-Cell Resolution Analysis of the Human Pancreatic Ductal Progenitor Cell Niche
Single-cell resolution analysis of the human pancreatic ductal progenitor cell niche Mirza Muhammad Fahd Qadira,b,1, Silvia Álvarez-Cubelaa,1, Dagmar Kleina, Jasmijn van Dijkc, Rocío Muñiz-Anquelad, Yaisa B. Moreno-Hernándeza,e, Giacomo Lanzonia, Saad Sadiqf, Belén Navarro-Rubioa,e, Michael T. Garcíaa, Ángela Díaza, Kevin Johnsona, David Santg, Camillo Ricordia,h,i,j,k, Anthony Griswoldl, Ricardo Luis Pastoria,l,2, and Juan Domínguez-Bendalaa,b,h,2 aDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136; bDepartment of Cell Biology and Anatomy, University of Miami Miller School of Medicine, Miami, FL 33136; cInstituut voor Life Science & Technology, Hanze University of Applied Sciences, 9747 AS Groningen, The Netherlands; dVrije Universiteit Medisch Centrum School of Medical Sciences, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands; eFacultad de Medicina, Universidad Francisco de Vitoria, 28223 Madrid, Spain; fDepartment of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33146; gDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108; hDepartment of Surgery, University of Miami Miller School of Medicine, Miami, FL 33136; iDepartment of Microbiology & Immunology, University of Miami Miller School of Medicine, Miami, FL 33136; jDepartment of Biomedical Engineering, University of Miami Miller School of Medicine, Miami, FL 33136; kDepartment of Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Miami Miller