SUPPLEMENTARY APPENDIX a Homozygous Missense Variant in UBE2T Is Associated with a Mild Fanconi Anemia Phenotype
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Deregulated Gene Expression Pathways in Myelodysplastic Syndrome Hematopoietic Stem Cells
Leukemia (2010) 24, 756–764 & 2010 Macmillan Publishers Limited All rights reserved 0887-6924/10 $32.00 www.nature.com/leu ORIGINAL ARTICLE Deregulated gene expression pathways in myelodysplastic syndrome hematopoietic stem cells A Pellagatti1, M Cazzola2, A Giagounidis3, J Perry1, L Malcovati2, MG Della Porta2,MJa¨dersten4, S Killick5, A Verma6, CJ Norbury7, E Hellstro¨m-Lindberg4, JS Wainscoat1 and J Boultwood1 1LRF Molecular Haematology Unit, NDCLS, John Radcliffe Hospital, Oxford, UK; 2Department of Hematology Oncology, University of Pavia Medical School, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy; 3Medizinische Klinik II, St Johannes Hospital, Duisburg, Germany; 4Division of Hematology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden; 5Department of Haematology, Royal Bournemouth Hospital, Bournemouth, UK; 6Albert Einstein College of Medicine, Bronx, NY, USA and 7Sir William Dunn School of Pathology, University of Oxford, Oxford, UK To gain insight into the molecular pathogenesis of the the World Health Organization.6,7 Patients with refractory myelodysplastic syndromes (MDS), we performed global gene anemia (RA) with or without ringed sideroblasts, according to expression profiling and pathway analysis on the hemato- poietic stem cells (HSC) of 183 MDS patients as compared with the the French–American–British classification, were subdivided HSC of 17 healthy controls. The most significantly deregulated based on the presence or absence of multilineage dysplasia. In pathways in MDS include interferon signaling, thrombopoietin addition, patients with RA with excess blasts (RAEB) were signaling and the Wnt pathways. Among the most signifi- subdivided into two categories, RAEB1 and RAEB2, based on the cantly deregulated gene pathways in early MDS are immuno- percentage of bone marrow blasts. -
Regulates Cellular Telomerase Activity by Methylation of TERT Promoter
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 5), pp: 7977-7988 Research Paper Tianshengyuan-1 (TSY-1) regulates cellular Telomerase activity by methylation of TERT promoter Weibo Yu1, Xiaotian Qin2, Yusheng Jin1, Yawei Li2, Chintda Santiskulvong3, Victor Vu1, Gang Zeng4,5, Zuofeng Zhang6, Michelle Chow1, Jianyu Rao1,5 1Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA 2Beijing Boyuantaihe Biological Technology Co., Ltd., Beijing, China 3Genomics Core, Cedars-Sinai Medical Center, Los Angeles, CA, USA 4Department of Urology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA 5Jonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA, USA 6Department of Epidemiology, School of Public Health, University of California at Los Angeles, Los Angeles, CA, USA Correspondence to: Jianyu Rao, email: [email protected] Keywords: TSY-1, hematopoietic cells, Telomerase, TERT, methylation Received: September 08, 2016 Accepted: November 24, 2016 Published: December 15, 2016 ABSTRACT Telomere and Telomerase have recently been explored as anti-aging and anti- cancer drug targets with only limited success. Previously we showed that the Chinese herbal medicine Tianshengyuan-1 (TSY-1), an agent used to treat bone marrow deficiency, has a profound effect on stimulating Telomerase activity in hematopoietic cells. Here, the mechanism of TSY-1 on cellular Telomerase activity was further investigated using HL60, a promyelocytic leukemia cell line, normal peripheral blood mononuclear cells, and CD34+ hematopoietic stem cells derived from umbilical cord blood. TSY-1 increases Telomerase activity in normal peripheral blood mononuclear cells and CD34+ hematopoietic stem cells with innately low Telomerase activity but decreases Telomerase activity in HL60 cells with high intrinsic Telomerase activity, both in a dose-response manner. -
Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Anti-TERF2 / Trf2 Antibody (ARG59099)
Product datasheet [email protected] ARG59099 Package: 50 μg anti-TERF2 / Trf2 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes TERF2 / Trf2 Tested Reactivity Hu, Rat Tested Application IHC-P, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name TERF2 / Trf2 Antigen Species Human Immunogen Recombinant protein corresponding to A81-K287 of Human TERF2 / Trf2. Conjugation Un-conjugated Alternate Names Telomeric DNA-binding protein; TRF2; TTAGGG repeat-binding factor 2; TRBF2; Telomeric repeat- binding factor 2 Application Instructions Application table Application Dilution IHC-P 0.5 - 1 µg/ml WB 0.1 - 0.5 µg/ml Application Note IHC-P: Antigen Retrieval: By heat mediation. * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 60 kDa Properties Form Liquid Purification Affinity purification with immunogen. Buffer 0.9% NaCl, 0.2% Na2HPO4, 0.05% Sodium azide and 5% BSA. Preservative 0.05% Sodium azide Stabilizer 5% BSA Concentration 0.5 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. www.arigobio.com 1/3 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol TERF2 Gene Full Name telomeric repeat binding factor 2 Background This gene encodes a telomere specific protein, TERF2, which is a component of the telomere nucleoprotein complex. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family. -
Differential Expression Profile Analysis of DNA Damage Repair Genes in CD133+/CD133‑ Colorectal Cancer Cells
ONCOLOGY LETTERS 14: 2359-2368, 2017 Differential expression profile analysis of DNA damage repair genes in CD133+/CD133‑ colorectal cancer cells YUHONG LU1*, XIN ZHOU2*, QINGLIANG ZENG2, DAISHUN LIU3 and CHANGWU YUE3 1College of Basic Medicine, Zunyi Medical University, Zunyi; 2Deparment of Gastroenterological Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi;3 Zunyi Key Laboratory of Genetic Diagnosis and Targeted Drug Therapy, The First People's Hospital of Zunyi, Zunyi, Guizhou 563003, P.R. China Received July 20, 2015; Accepted January 6, 2017 DOI: 10.3892/ol.2017.6415 Abstract. The present study examined differential expression cells. By contrast, 6 genes were downregulated and none levels of DNA damage repair genes in COLO 205 colorectal were upregulated in the CD133+ cells compared with the cancer cells, with the aim of identifying novel biomarkers for COLO 205 cells. These findings suggest that CD133+ cells the molecular diagnosis and treatment of colorectal cancer. may possess the same DNA repair capacity as COLO 205 COLO 205-derived cell spheres were cultured in serum-free cells. Heterogeneity in the expression profile of DNA damage medium supplemented with cell factors, and CD133+/CD133- repair genes was observed in COLO 205 cells, and COLO cells were subsequently sorted using an indirect CD133 205-derived CD133- cells and CD133+ cells may therefore microbead kit. In vitro differentiation and tumorigenicity assays provide a reference for molecular diagnosis, therapeutic target in BABA/c nude mice were performed to determine whether selection and determination of the treatment and prognosis for the CD133+ cells also possessed stem cell characteristics, in colorectal cancer. -
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 -
Telomere-Regulating Genes and the Telomere Interactome in Familial Cancers
Author Manuscript Published OnlineFirst on September 22, 2014; DOI: 10.1158/1541-7786.MCR-14-0305 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Telomere-regulating Genes and the Telomere Interactome in Familial Cancers Authors: Carla Daniela Robles-Espinoza1, Martin del Castillo Velasco-Herrera1, Nicholas K. Hayward2 and David J. Adams1 Affiliations: 1Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, UK 2Oncogenomics Laboratory, QIMR Berghofer Medical Research Institute, Herston, Brisbane, Queensland, Australia Corresponding author: Carla Daniela Robles-Espinoza, Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs., UK. CB10 1SA. Telephone: +44 1223 834244, Fax +44 1223 494919, E-mail: [email protected] Financial support: C.D.R.-E., M.d.C.V.H. and D.J.A. were supported by Cancer Research UK and the Wellcome Trust (WT098051). C.D.R.-E. was also supported by the Consejo Nacional de Ciencia y Tecnología of Mexico. N.K.H. was supported by a fellowship from the National Health and Medical Research Council of Australia (NHMRC). Running title: Telomere-regulating genes in familial cancers Keywords: Telomeres, telomerase, shelterin, germline variation, cancer predisposition Conflicts of interest: The authors declare no conflicts of interest. Word count: 6,362 (including figure legends) Number of figures and tables: 2 figures in main text, 3 tables in supplementary material 1 Downloaded from mcr.aacrjournals.org on September 29, 2021. © 2014 American Association for Cancer Research. Author Manuscript Published OnlineFirst on September 22, 2014; DOI: 10.1158/1541-7786.MCR-14-0305 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. -
Anti-TERF2 / Trf2 Antibody (ARG59098)
Product datasheet [email protected] ARG59098 Package: 100 μl anti-TERF2 / Trf2 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes TERF2 / Trf2 Tested Reactivity Hu, Ms Tested Application WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name TERF2 / Trf2 Antigen Species Human Immunogen Recombinant protein of Human TERF2 / Trf2. Conjugation Un-conjugated Alternate Names Telomeric DNA-binding protein; TRF2; TTAGGG repeat-binding factor 2; TRBF2; Telomeric repeat- binding factor 2 Application Instructions Application table Application Dilution WB 1:500 - 1:2000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control Jurkat Calculated Mw 60 kDa Observed Size 70kDa Properties Form Liquid Purification Affinity purified. Buffer PBS (pH 7.3), 0.02% Sodium azide and 50% Glycerol. Preservative 0.02% Sodium azide Stabilizer 50% Glycerol Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. www.arigobio.com 1/2 Bioinformation Gene Symbol TERF2 Gene Full Name telomeric repeat binding factor 2 Background This gene encodes a telomere specific protein, TERF2, which is a component of the telomere nucleoprotein complex. This protein is present at telomeres in metaphase of the cell cycle, is a second negative regulator of telomere length and plays a key role in the protective activity of telomeres. -
Dissecting the Genetic Architecture of Familial Melanoma Lauren Gabriel Aoude Bachelor of Engineering (Mechanical) Bachelor of Arts (European Studies)
Dissecting the genetic architecture of familial melanoma Lauren Gabriel Aoude Bachelor of Engineering (Mechanical) Bachelor of Arts (European Studies) A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2014 School of Medicine / QIMR Berghofer Medical Research Institute ii Abstract Cutaneous malignant melanoma (CMM) is a disease that has had a significant impact on the lives of Australians, affecting 1 in 17 people. Around 10% of those diagnosed have a family history of melanoma and in the majority of these cases there is underlying predisposition that makes them more susceptible to melanoma development. Known high-risk loci (CDKN2A, CDK4) account for approximately half of these families. There remains, therefore, a large gap in knowledge regarding the causes of susceptibility to CMM. Uveal malignant melanoma (UMM) is a rare type of melanoma that forms in the uveal tract of the eye. Unlike cutaneous melanoma, ultraviolet radiation does not contribute to the formation of UMM. To date, only one gene has been identified that contributes to risk of uveal melanoma: BAP1. The main objective of this thesis was to discover the underlying germline mutations that contribute to increased risk in high-density CMM and UMM families lacking mutations in any of the known melanoma risk loci. The key techniques that were used to achieve this were whole-genome and exome sequencing of multiple cases from these families. By targeting novel variants that segregated with disease in families, truncating mutations leading to CMM development were found in POT1, ACD and TERF2IP (Chapters 4 and 5). This technique was also used to discover truncating germline BAP1 mutations in a UMM family from Denmark (Chapter 7).