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Global Analysis Reveals the Complexity of the Human Glomerular Extracellular Matrix
Global analysis reveals the complexity of the human glomerular extracellular matrix Rachel Lennon,1,2 Adam Byron,1,* Jonathan D. Humphries,1 Michael J. Randles,1,2 Alex Carisey,1 Stephanie Murphy,1,2 David Knight,3 Paul E. Brenchley,2 Roy Zent,4,5 and Martin J. Humphries.1 1Wellcome Trust Centre for Cell-Matrix Research, Faculty of Life Sciences, University of Manchester, Manchester, UK; 2Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK; 3Biological Mass Spectrometry Core Facility, Faculty of Life Sciences, University of Manchester, Manchester, UK; 4Division of Nephrology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; and 5Veterans Affairs Hospital, Nashville, TN, USA. *Present address: Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK. Running title: Proteome of the glomerular matrix Word count: Abstract: 208, main text 2765 Corresponding author: Dr Rachel Lennon, Wellcome Trust Centre for Cell-Matrix Research, Michael Smith Building, University of Manchester, Manchester M13 9PT, UK. Phone: 0044 (0) 161 2755498. Fax: 0044 (0) 161 2755082. Email: [email protected] Abstract The glomerulus contains unique cellular and extracellular matrix (ECM) components, which are required for intact barrier function. Studies of the cellular components have helped to build understanding of glomerular disease; however, the full composition and regulation of glomerular ECM remains poorly understood. Here, we employed mass spectrometry–based proteomics of enriched ECM extracts for a global analysis of human glomerular ECM in vivo and identified a tissue-specific proteome of 144 structural and regulatory ECM proteins. This catalogue includes all previously identified glomerular components, plus many new and abundant components. -
Environmental Influences on Endothelial Gene Expression
ENDOTHELIAL CELL GENE EXPRESSION John Matthew Jeff Herbert Supervisors: Prof. Roy Bicknell and Dr. Victoria Heath PhD thesis University of Birmingham August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Tumour angiogenesis is a vital process in the pathology of tumour development and metastasis. Targeting markers of tumour endothelium provide a means of targeted destruction of a tumours oxygen and nutrient supply via destruction of tumour vasculature, which in turn ultimately leads to beneficial consequences to patients. Although current anti -angiogenic and vascular targeting strategies help patients, more potently in combination with chemo therapy, there is still a need for more tumour endothelial marker discoveries as current treatments have cardiovascular and other side effects. For the first time, the analyses of in-vivo biotinylation of an embryonic system is performed to obtain putative vascular targets. Also for the first time, deep sequencing is applied to freshly isolated tumour and normal endothelial cells from lung, colon and bladder tissues for the identification of pan-vascular-targets. Integration of the proteomic, deep sequencing, public cDNA libraries and microarrays, delivers 5,892 putative vascular targets to the science community. -
Broad and Thematic Remodeling of the Surface Glycoproteome on Isogenic
bioRxiv preprint doi: https://doi.org/10.1101/808139; this version posted October 17, 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-NC-ND 4.0 International license. Broad and thematic remodeling of the surface glycoproteome on isogenic cells transformed with driving proliferative oncogenes Kevin K. Leung1,5, Gary M. Wilson2,5, Lisa L. Kirkemo1, Nicholas M. Riley2,4, Joshua J. Coon2,3, James A. Wells1* 1Department of Pharmaceutical Chemistry, UCSF, San Francisco, CA, USA Departments of Chemistry2 and Biomolecular Chemistry3, University of Wisconsin- Madison, Madison, WI, 53706, USA 4Present address Department of Chemistry, Stanford University, Stanford, CA, 94305, USA 5These authors contributed equally *To whom correspondence should be addressed bioRxiv preprint doi: https://doi.org/10.1101/808139; this version posted October 17, 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-NC-ND 4.0 International license. Abstract: The cell surface proteome, the surfaceome, is the interface for engaging the extracellular space in normal and cancer cells. Here We apply quantitative proteomics of N-linked glycoproteins to reveal how a collection of some 700 surface proteins is dramatically remodeled in an isogenic breast epithelial cell line stably expressing any of six of the most prominent proliferative oncogenes, including the receptor tyrosine kinases, EGFR and HER2, and downstream signaling partners such as KRAS, BRAF, MEK and AKT. -
Original Article FREM2 Is an Independent Predictor of Poor Survival in Clear Cell Renal Cell Carcinoma-Evidence from the Cancer Genome Atlas (TCGA)
Int J Clin Exp Med 2019;12(12):13741-13748 www.ijcem.com /ISSN:1940-5901/IJCEM0076963 Original Article FREM2 is an independent predictor of poor survival in clear cell renal cell carcinoma-evidence from the cancer genome atlas (TCGA) Weiping Huang, Yongyong Lu, Xixi Huang, Feng Wang, Zhixian Yu Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, Zhejiang Province, China Received February 26, 2018; Accepted October 7, 2018; Epub December 15, 2019; Published December 30, 2019 Abstract: Fraser syndrome protein 1 (FRAS1) and FRAS1 related extracellular matrix protein 1 and 2 (FREM1, FREM2) are a novel group of basement membrane proteins. The relationship between the three gene (FRAS1, FREM1, FREM2) and renal clear cell carcinoma is completely unclear. Thus, in this research, we used the mRNA sequencing data derived from TCGA kidney renal clear cell carcinoma cohort to assess the association of FRAS1, FREM1 and FREM2 with different clinical features. FRAS1, FREM1 and FREM2 mRNA levels were downregulated in KIRC (kidney renal clear cell carcinoma) tissues than normal tissues (FRAS1, P < 0.0001; FREM1, P < 0.0001, FREM2, P = 0.0001), respectively. FRAS1, FREM1 and FREM2 were significantly different in histologic grade, patho- logic stage and pathologic T (all P < 0.001). Low FRAS1, FREM1 and FREM2 expression were correlated to worsen overall survival (all P < 0.01), and Low FREM1 and FREM2 expression had worse relapse-free survival (FREM1, P = 0.0113; FREM2, P = 0.0424). Multivariate Cox regression analysis revealed that FREM2 was an independent prog- nostic factor for overall survival. Taken together, FREM2 expression is an independent predictor of poor survival in renal clear cell carcinoma and is positively associated with advanced stage, high histologic grade. -
Yeast Genome Gazetteer P35-65
gazetteer Metabolism 35 tRNA modification mitochondrial transport amino-acid metabolism other tRNA-transcription activities vesicular transport (Golgi network, etc.) nitrogen and sulphur metabolism mRNA synthesis peroxisomal transport nucleotide metabolism mRNA processing (splicing) vacuolar transport phosphate metabolism mRNA processing (5’-end, 3’-end processing extracellular transport carbohydrate metabolism and mRNA degradation) cellular import lipid, fatty-acid and sterol metabolism other mRNA-transcription activities other intracellular-transport activities biosynthesis of vitamins, cofactors and RNA transport prosthetic groups other transcription activities Cellular organization and biogenesis 54 ionic homeostasis organization and biogenesis of cell wall and Protein synthesis 48 plasma membrane Energy 40 ribosomal proteins organization and biogenesis of glycolysis translation (initiation,elongation and cytoskeleton gluconeogenesis termination) organization and biogenesis of endoplasmic pentose-phosphate pathway translational control reticulum and Golgi tricarboxylic-acid pathway tRNA synthetases organization and biogenesis of chromosome respiration other protein-synthesis activities structure fermentation mitochondrial organization and biogenesis metabolism of energy reserves (glycogen Protein destination 49 peroxisomal organization and biogenesis and trehalose) protein folding and stabilization endosomal organization and biogenesis other energy-generation activities protein targeting, sorting and translocation vacuolar and lysosomal -
Congenital Disorders of Glycosylation from a Neurological Perspective
brain sciences Review Congenital Disorders of Glycosylation from a Neurological Perspective Justyna Paprocka 1,* , Aleksandra Jezela-Stanek 2 , Anna Tylki-Szyma´nska 3 and Stephanie Grunewald 4 1 Department of Pediatric Neurology, Faculty of Medical Science in Katowice, Medical University of Silesia, 40-752 Katowice, Poland 2 Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 01-138 Warsaw, Poland; [email protected] 3 Department of Pediatrics, Nutrition and Metabolic Diseases, The Children’s Memorial Health Institute, W 04-730 Warsaw, Poland; [email protected] 4 NIHR Biomedical Research Center (BRC), Metabolic Unit, Great Ormond Street Hospital and Institute of Child Health, University College London, London SE1 9RT, UK; [email protected] * Correspondence: [email protected]; Tel.: +48-606-415-888 Abstract: Most plasma proteins, cell membrane proteins and other proteins are glycoproteins with sugar chains attached to the polypeptide-glycans. Glycosylation is the main element of the post- translational transformation of most human proteins. Since glycosylation processes are necessary for many different biological processes, patients present a diverse spectrum of phenotypes and severity of symptoms. The most frequently observed neurological symptoms in congenital disorders of glycosylation (CDG) are: epilepsy, intellectual disability, myopathies, neuropathies and stroke-like episodes. Epilepsy is seen in many CDG subtypes and particularly present in the case of mutations -
CTNS Molecular Genetics Profile in a Persian Nephropathic Cystinosis Population
n e f r o l o g i a 2 0 1 7;3 7(3):301–310 Revista de la Sociedad Española de Nefrología www.revistanefrologia.com Original article CTNS molecular genetics profile in a Persian nephropathic cystinosis population a b a a Farideh Ghazi , Rozita Hosseini , Mansoureh Akouchekian , Shahram Teimourian , a b c,d a,b,c,d,∗ Zohreh Ataei Kachoei , Hassan Otukesh , William A. Gahl , Babak Behnam a Department of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran b Department of Pediatrics, Faculty of Medicine, Ali Asghar Children Hospital, Iran University of Medical Sciences (IUMS), Tehran, Iran c Section on Human Biochemical Genetics, Medical Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD, USA d NIH Undiagnosed Diseases Program, Common Fund, Office of the Director, NIH, Bethesda, MD, USA a r t i c l e i n f o a b s t r a c t Article history: Purpose: In this report, we document the CTNS gene mutations of 28 Iranian patients with Received 26 May 2016 nephropathic cystinosis age 1–17 years. All presented initially with severe failure to thrive, Accepted 22 November 2016 polyuria, and polydipsia. Available online 24 February 2017 Methods: Cystinosis was primarily diagnosed by a pediatric nephrologist and then referred to the Iran University of Medical Sciences genetics clinic for consultation and molecular Keywords: analysis, which involved polymerase chain reaction (PCR) amplification to determine the Cystinosis presence or absence of the 57-kb founder deletion in CTNS, followed by direct sequencing CTNS of the coding exons of CTNS. -
CTNS Gene Cystinosin, Lysosomal Cystine Transporter
CTNS gene cystinosin, lysosomal cystine transporter Normal Function The CTNS gene provides instructions for making a protein called cystinosin. This protein is located in the membrane of lysosomes, which are compartments in the cell that digest and recycle materials. Proteins digested inside lysosomes are broken down into smaller building blocks, called amino acids. The amino acids are then moved out of lysosomes by transport proteins. Cystinosin is a transport protein that specifically moves the amino acid cystine out of the lysosome. Health Conditions Related to Genetic Changes Cystinosis More than 80 different mutations that are responsible for causing cystinosis have been identified in the CTNS gene. The most common mutation is a deletion of a large part of the CTNS gene (sometimes referred to as the 57-kb deletion), resulting in the complete loss of cystinosin. This deletion is responsible for approximately 50 percent of cystinosis cases in people of European descent. Other mutations result in the production of an abnormally short protein that cannot carry out its normal transport function. Mutations that change very small regions of the CTNS gene may allow the transporter protein to retain some of its usual activity, resulting in a milder form of cystinosis. Other Names for This Gene • CTNS-LSB • CTNS_HUMAN • Cystinosis • PQLC4 Additional Information & Resources Tests Listed in the Genetic Testing Registry • Tests of CTNS (https://www.ncbi.nlm.nih.gov/gtr/all/tests/?term=1497[geneid]) Reprinted from MedlinePlus Genetics (https://medlineplus.gov/genetics/) 1 Scientific Articles on PubMed • PubMed (https://pubmed.ncbi.nlm.nih.gov/?term=%28CTNS%5BTIAB%5D%29+O R+%28Cystinosis%5BTIAB%5D%29+AND+%28Genes%5BMH%5D%29+AND+eng lish%5Bla%5D+AND+human%5Bmh%5D+AND+%22last+3600+days%22%5Bdp% 5D) Catalog of Genes and Diseases from OMIM • CYSTINOSIN (https://omim.org/entry/606272) Research Resources • ClinVar (https://www.ncbi.nlm.nih.gov/clinvar?term=CTNS[gene]) • NCBI Gene (https://www.ncbi.nlm.nih.gov/gene/1497) References • Anikster Y, Shotelersuk V, Gahl WA. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Molecular Diagnostic Requisition
BAYLOR MIRACA GENETICS LABORATORIES SHIP TO: Baylor Miraca Genetics Laboratories 2450 Holcombe, Grand Blvd. -Receiving Dock PHONE: 800-411-GENE | FAX: 713-798-2787 | www.bmgl.com Houston, TX 77021-2024 Phone: 713-798-6555 MOLECULAR DIAGNOSTIC REQUISITION PATIENT INFORMATION SAMPLE INFORMATION NAME: DATE OF COLLECTION: / / LAST NAME FIRST NAME MI MM DD YY HOSPITAL#: ACCESSION#: DATE OF BIRTH: / / GENDER (Please select one): FEMALE MALE MM DD YY SAMPLE TYPE (Please select one): ETHNIC BACKGROUND (Select all that apply): UNKNOWN BLOOD AFRICAN AMERICAN CORD BLOOD ASIAN SKELETAL MUSCLE ASHKENAZIC JEWISH MUSCLE EUROPEAN CAUCASIAN -OR- DNA (Specify Source): HISPANIC NATIVE AMERICAN INDIAN PLACE PATIENT STICKER HERE OTHER JEWISH OTHER (Specify): OTHER (Please specify): REPORTING INFORMATION ADDITIONAL PROFESSIONAL REPORT RECIPIENTS PHYSICIAN: NAME: INSTITUTION: PHONE: FAX: PHONE: FAX: NAME: EMAIL (INTERNATIONAL CLIENT REQUIREMENT): PHONE: FAX: INDICATION FOR STUDY SYMPTOMATIC (Summarize below.): *FAMILIAL MUTATION/VARIANT ANALYSIS: COMPLETE ALL FIELDS BELOW AND ATTACH THE PROBAND'S REPORT. GENE NAME: ASYMPTOMATIC/POSITIVE FAMILY HISTORY: (ATTACH FAMILY HISTORY) MUTATION/UNCLASSIFIED VARIANT: RELATIONSHIP TO PROBAND: THIS INDIVIDUAL IS CURRENTLY: SYMPTOMATIC ASYMPTOMATIC *If family mutation is known, complete the FAMILIAL MUTATION/ VARIANT ANALYSIS section. NAME OF PROBAND: ASYMPTOMATIC/POPULATION SCREENING RELATIONSHIP TO PROBAND: OTHER (Specify clinical findings below): BMGL LAB#: A COPY OF ORIGINAL RESULTS ATTACHED IF PROBAND TESTING WAS PERFORMED AT ANOTHER LAB, CALL TO DISCUSS PRIOR TO SENDING SAMPLE. A POSITIVE CONTROL MAY BE REQUIRED IN SOME CASES. REQUIRED: NEW YORK STATE PHYSICIAN SIGNATURE OF CONSENT I certify that the patient specified above and/or their legal guardian has been informed of the benefits, risks, and limitations of the laboratory test(s) requested. -
Its Place Among Other Genetic Causes of Renal Disease
J Am Soc Nephrol 13: S126–S129, 2002 Anderson-Fabry Disease: Its Place among Other Genetic Causes of Renal Disease JEAN-PIERRE GRU¨ NFELD,* DOMINIQUE CHAUVEAU,* and MICHELINE LE´ VY† *Service of Nephrology, Hoˆpital Necker, Paris, France; †INSERM U 535, Baˆtiment Gregory Pincus, Kremlin- Biceˆtre, France. In the last two decades, decisive advances have been made in Nephropathic cystinosis, first described in 1903, is an auto- the field of human genetics, including renal genetics. The somal recessive disorder characterized by the intra-lysosomal responsible genes have been mapped and then identified in accumulation of cystine. It is caused by a defect in the transport most monogenic renal disorders by using positional cloning of cystine out of the lysosome, a process mediated by a carrier and/or candidate gene approaches. These approaches have that remained unidentified for several decades. However, an been extremely efficient since the number of identified genetic important management step was devised in 1976, before the diseases has increased exponentially over the last 5 years. The biochemical defect was characterized in 1982. Indeed cysteam- data derived from the Human Genome Project will enable a ine, an aminothiol, reacts with cystine to form cysteine-cys- more rapid identification of the genes involved in the remain- teamine mixed disulfide that can readily exit the cystinotic ing “orphan” inherited renal diseases, provided their pheno- lysosome. This drug, if used early and in high doses, retards the types are well characterized. We have entered the post-gene progression of cystinosis in affected subjects by reducing intra- era. What is/are the function(s) of these genes? What are the lysosomal cystine concentrations. -
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Published OnlineFirst February 10, 2017; DOI: 10.1158/2159-8290.CD-16-1045 RESEARCH ARTICLE Interaction Landscape of Inherited Polymorphisms with Somatic Events in Cancer Hannah Carter 1 , 2 , 3 , 4 , Rachel Marty 5 , Matan Hofree 6 , Andrew M. Gross 5 , James Jensen 5 , Kathleen M. Fisch1,2,3,7 , Xingyu Wu 2 , Christopher DeBoever 5 , Eric L. Van Nostrand 4,8 , Yan Song 4,8 , Emily Wheeler 4,8 , Jason F. Kreisberg 1,3 , Scott M. Lippman 2 , Gene W. Yeo 4,8 , J. Silvio Gutkind 2 , 3 , and Trey Ideker 1 , 2 , 3 , 4 , 5,6 Downloaded from cancerdiscovery.aacrjournals.org on September 27, 2021. © 2017 American Association for Cancer Research. Published OnlineFirst February 10, 2017; DOI: 10.1158/2159-8290.CD-16-1045 ABSTRACT Recent studies have characterized the extensive somatic alterations that arise dur- ing cancer. However, the somatic evolution of a tumor may be signifi cantly affected by inherited polymorphisms carried in the germline. Here, we analyze genomic data for 5,954 tumors to reveal and systematically validate 412 genetic interactions between germline polymorphisms and major somatic events, including tumor formation in specifi c tissues and alteration of specifi c cancer genes. Among germline–somatic interactions, we found germline variants in RBFOX1 that increased incidence of SF3B1 somatic mutation by 8-fold via functional alterations in RNA splicing. Similarly, 19p13.3 variants were associated with a 4-fold increased likelihood of somatic mutations in PTEN. In support of this associ- ation, we found that PTEN knockdown sensitizes the MTOR pathway to high expression of the 19p13.3 gene GNA11 .