Genetic Mutations and Variants in the Susceptibility of Familial Non-Medullary Thyroid Cancer
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Myotubularin-Related Protein (MTMR) 9 Determines the Enzymatic Activity, Substrate Specificity, and Role in Autophagy of MTMR8
Myotubularin-related protein (MTMR) 9 determines the enzymatic activity, substrate specificity, and role in autophagy of MTMR8 Jun Zoua,1, Chunfen Zhangb,1,2, Jasna Marjanovicc, Marina V. Kisselevab, Philip W. Majerusb,d,2, and Monita P. Wilsonb,2 aDepartment of Pathology and Immunology, bDivision of Hematology, Department of Internal Medicine, and dDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110; and cDivision of Basic and Pharmaceutical Sciences, St. Louis College of Pharmacy, St. Louis, MO 63110 Contributed by Philip W. Majerus, May 1, 2012 (sent for review February 24, 2012) The myotubularins are a large family of inositol polyphosphate myotubularin proteins (16–21). One mechanism that regulates 3-phosphatases that, despite having common substrates, subsume the myotubularins is the formation of heterodimers between unique functions in cells that are disparate. The myotubularin catalytically active and inactive proteins. The interaction between family consists of 16 different proteins, 9 members of which different myotubularin proteins has a significant effect on en- possess catalytic activity, dephosphorylating phosphatidylinositol zymatic activity. For example, the association of myotubularin 3-phosphate [PtdIns(3)P] and phosphatidylinositol 3,5-bisphos- (MTM1) with MTMR12 results in a threefold increase in the 3- phate [PtdIns(3,5)P2] at the D-3 position. Seven members are in- phosphatase activity of MTM1, alters the subcellular localiza- active because they lack the conserved cysteine residue in the tion of MTM1 from the plasma membrane to the cytosol, and CX5R motif required for activity. We studied a subfamily of homol- attenuates the filopodia formation seen with MTM1 overex- ogous myotubularins, including myotubularin-related protein 6 pression (21, 22). -
Myotubularin-Related Phosphatase 5 Is a Critical Determinant of Autophagy in Neurons
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.20.453106; this version posted July 20, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Myotubularin-related phosphatase 5 is a critical determinant of autophagy in neurons Jason P. Chua*1,8, Karan Bedi2,3,4, Michelle T. Paulsen2,4, Mats Ljungman2,4, Elizabeth M. H. Tank1, Erin S. Kim1, Jennifer M. Colón-Mercado7, Michael E. Ward7, Lois S. Weisman5,6, and Sami J. Barmada*1,8 1Department of Neurology, University of Michigan, Ann Arbor, MI, USA 2Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA 3Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA 4Rogel Cancer Center and Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI, USA 5Life Sciences Institute, University of Michigan, Ann Arbor, MI, USA 6Department of Cell and Developmental Biology, University of Michigan, Ann Arbor, MI, USA 7National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA 8Lead contact *Correspondence: [email protected] (J.P.C.), [email protected] (S.J.B.) 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.20.453106; this version posted July 20, 2021. 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 Autophagy is a conserved, multi-step process of capturing proteolytic cargo in autophagosomes for lysosome degradation. The capacity to remove toxic proteins that accumulate in neurodegenerative disorders attests to the disease-modifying potential of the autophagy pathway. -
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. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
PTEN Mutations the PTEN Hamartoma Tumor Synd
Updated December 2019 (NCCN v1.2020) Cowden Syndrome/PTEN Hamartoma Tumor Syndrome: PTEN Mutations The PTEN Hamartoma Tumor Syndrome (PHTS) is a spectrum of highly variable conditions with overlapping features. This spectrum includes Cowden syndrome (CS), Bannayan-Riley-Ruvalcaba syndrome (BRRS), and PTEN-related autism spectrum disorder.1-3 The term PHTS describes any individual with a germline pathogenic PTEN mutation, regardless of their clinical presentation.4 PHTS is a multisystem syndrome primarily characterized by noncancerous (benign), tumor-like growths called hamartomas that can develop throughout the body. There is also an increased risk of adult-onset cancers.5 Cancer Risks and General Management Recommendations PTEN Mutation General Surveillance/Management Recommendations9 Carrier Cancer Population Risks2,4-8 Lifetime Cancer Risks Female Breast: 12.4% Surveillance Primary: 33-60% Breast awareness, including periodic, consistent breast self exams, Second Primary: starting at age 18 years 29% within 10 Clinical breast exam every 6-12 months starting at age 25 years, or 5- years10 10 years before the earliest breast cancer diagnosis in the family (whichever comes first) Annual mammogram with consideration of tomosynthesis and breast MRI with contrast at age 30-35 years, or 5-10 years before the earliest breast cancer diagnosis in the family (whichever comes first) Age >75 years: Management should be considered on an individual basis Surgery Discuss option of risk-reducing mastectomy, including degree of protection, reconstruction -
Replace This with the Actual Title Using All Caps
UNDERSTANDING THE GENETICS UNDERLYING MASTITIS USING A MULTI-PRONGED APPROACH A Dissertation Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Asha Marie Miles December 2019 © 2019 Asha Marie Miles UNDERSTANDING THE GENETICS UNDERLYING MASTITIS USING A MULTI-PRONGED APPROACH Asha Marie Miles, Ph. D. Cornell University 2019 This dissertation addresses deficiencies in the existing genetic characterization of mastitis due to granddaughter study designs and selection strategies based primarily on lactation average somatic cell score (SCS). Composite milk samples were collected across 6 sampling periods representing key lactation stages: 0-1 day in milk (DIM), 3- 5 DIM, 10-14 DIM, 50-60 DIM, 90-110 DIM, and 210-230 DIM. Cows were scored for front and rear teat length, width, end shape, and placement, fore udder attachment, udder cleft, udder depth, rear udder height, and rear udder width. Independent multivariable logistic regression models were used to generate odds ratios for elevated SCC (≥ 200,000 cells/ml) and farm-diagnosed clinical mastitis. Within our study cohort, loose fore udder attachment, flat teat ends, low rear udder height, and wide rear teats were associated with increased odds of mastitis. Principal component analysis was performed on these traits to create a single new phenotype describing mastitis susceptibility based on these high-risk phenotypes. Cows (N = 471) were genotyped on the Illumina BovineHD 777K SNP chip and considering all 14 traits of interest, a total of 56 genome-wide associations (GWA) were performed and 28 significantly associated quantitative trait loci (QTL) were identified. -
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. -
To View the ESE Recommended Curriculum of Specialisation in Clinical Endocrinology, Diabetes and Metabolism
European Society of Endocrinology Recommended Curriculum of Specialisation in Clinical Endocrinology, Diabetes and Metabolism Version 2, November 2019 Contents Endorsement ........................................................................................................................................ 2 Introduction .......................................................................................................................................... 3 1. Diabetes mellitus .............................................................................................................................. 4 2. Lipid disorders ................................................................................................................................... 5 3. Obesity and bariatric endocrinology ................................................................................................. 5 4. Pituitary ............................................................................................................................................ 5 5. Thyroid .............................................................................................................................................. 6 6. Parathyroid, calcium and bone ......................................................................................................... 7 7. Adrenal ............................................................................................................................................. 8 8. Reproductive endocrinology and sexual function -
Genetics of Familial Non-Medullary Thyroid Carcinoma (FNMTC)
cancers Review Genetics of Familial Non-Medullary Thyroid Carcinoma (FNMTC) Chiara Diquigiovanni * and Elena Bonora Unit of Medical Genetics, Department of Medical and Surgical Sciences, University of Bologna, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-051-208-8418 Simple Summary: Non-medullary thyroid carcinoma (NMTC) originates from thyroid follicular epithelial cells and is considered familial when occurs in two or more first-degree relatives of the patient, in the absence of predisposing environmental factors. Familial NMTC (FNMTC) cases show a high genetic heterogeneity, thus impairing the identification of pivotal molecular changes. In the past years, linkage-based approaches identified several susceptibility loci and variants associated with NMTC risk, however only few genes have been identified. The advent of next-generation sequencing technologies has improved the discovery of new predisposing genes. In this review we report the most significant genes where variants predispose to FNMTC, with the perspective that the integration of these new molecular findings in the clinical data of patients might allow an early detection and tailored therapy of the disease, optimizing patient management. Abstract: Non-medullary thyroid carcinoma (NMTC) is the most frequent endocrine tumor and originates from the follicular epithelial cells of the thyroid. Familial NMTC (FNMTC) has been defined in pedigrees where two or more first-degree relatives of the patient present the disease in absence of other predisposing environmental factors. Compared to sporadic cases, FNMTCs are often multifocal, recurring more frequently and showing an early age at onset with a worse outcome. FNMTC cases Citation: Diquigiovanni, C.; Bonora, E. -
NBN Gene Analysis and It's Impact on Breast Cancer
Journal of Medical Systems (2019) 43: 270 https://doi.org/10.1007/s10916-019-1328-z IMAGE & SIGNAL PROCESSING NBN Gene Analysis and it’s Impact on Breast Cancer P. Nithya1 & A. ChandraSekar1 Received: 8 March 2019 /Accepted: 7 May 2019 /Published online: 5 July 2019 # Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Single Nucleotide Polymorphism (SNP) researches have become essential in finding out the congenital relationship of structural deviations with quantitative traits, heritable diseases and physical responsiveness to different medicines. NBN is a protein coding gene (Breast Cancer); Nibrin is used to fix and rebuild the body from damages caused because of strand breaks (both singular and double) associated with protein nibrin. NBN gene was retrieved from dbSNP/NCBI database and investigated using computational SNP analysis tools. The encrypted region in SNPs (exonal SNPs) were analyzed using software tools, SIFT, Provean, Polyphen, INPS, SNAP and Phd-SNP. The 3’ends of SNPs in un-translated region were also investigated to determine the impact of binding. The association of NBN gene polymorphism leads to several diseases was studied. Four SNPs were predicted to be highly damaged in coding regions which are responsible for the diseases such as, Aplastic Anemia, Nijmegan breakage syndrome, Microsephaly normal intelligence, immune deficiency and hereditary cancer predisposing syndrome (clivar). The present study will be helpful in finding the suitable drugs in future for various diseases especially for breast cancer. Keywords NBN . Single nucleotide polymorphism . Double strand breaks . nsSNP . Associated diseases Introduction NBN has a more complex structure due to its interaction with large proteins formed from the ATM gene which is NBN (Nibrin) is a protein coding gene, it is also known as highly essential in identifying damaged strands of DNA NBS1, Cell cycle regulatory Protein P95, is situated on and facilitating their repair [1]. -
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Produktinformation Diagnostik & molekulare Diagnostik Laborgeräte & Service Zellkultur & Verbrauchsmaterial Forschungsprodukte & Biochemikalien Weitere Information auf den folgenden Seiten! See the following pages for more information! Lieferung & Zahlungsart Lieferung: frei Haus Bestellung auf Rechnung SZABO-SCANDIC Lieferung: € 10,- HandelsgmbH & Co KG Erstbestellung Vorauskassa Quellenstraße 110, A-1100 Wien T. +43(0)1 489 3961-0 Zuschläge F. +43(0)1 489 3961-7 [email protected] • Mindermengenzuschlag www.szabo-scandic.com • Trockeneiszuschlag • Gefahrgutzuschlag linkedin.com/company/szaboscandic • Expressversand facebook.com/szaboscandic TNKS2 Antibody, HRP conjugated Product Code CSB-PA867136LB01HU Abbreviation Tankyrase-2 Storage Upon receipt, store at -20°C or -80°C. Avoid repeated freeze. Uniprot No. Q9H2K2 Immunogen Recombinant Human Tankyrase-2 protein (1-246AA) Raised In Rabbit Species Reactivity Human Tested Applications ELISA Relevance Poly-ADP-ribosyltransferase involved in various processes such as Wnt signaling pathway, telomere length and vesicle trafficking. Acts as an activator of the Wnt signaling pathway by mediating poly-ADP-ribosylation of AXIN1 and AXIN2, 2 key components of the beta-catenin destruction complex: poly-ADP- ribosylated target proteins are recognized by RNF146, which mediates their ubiquitination and subsequent degradation. Also mediates poly-ADP-ribosylation of BLZF1 and CASC3, followed by recruitment of RNF146 and subsequent ubiquitination. Mediates poly-ADP-ribosylation of TERF1, thereby contributing -
RD-Action Matchmaker – Summary of Disease Expertise Recorded Under
Summary of disease expertise recorded via RD-ACTION Matchmaker under each Thematic Grouping and EURORDIS Members’ Thematic Grouping Thematic Reported expertise of those completing the EURORDIS Member perspectives on Grouping matchmaker under each heading Grouping RD Thematically Rare Bone Achondroplasia/Hypochondroplasia Achondroplasia Amelia skeletal dysplasia’s including Achondroplasia/Growth hormone cleidocranial dysostosis, arthrogryposis deficiency/MPS/Turner Brachydactyly chondrodysplasia punctate Fibrous dysplasia of bone Collagenopathy and oncologic disease such as Fibrodysplasia ossificans progressive Li-Fraumeni syndrome Osteogenesis imperfecta Congenital hand and fore-foot conditions Sterno Costo Clavicular Hyperostosis Disorders of Sex Development Duchenne Muscular Dystrophy Ehlers –Danlos syndrome Fibrodysplasia Ossificans Progressiva Growth disorders Hypoparathyroidism Hypophosphatemic rickets & Nutritional Rickets Hypophosphatasia Jeune’s syndrome Limb reduction defects Madelung disease Metabolic Osteoporosis Multiple Hereditary Exostoses Osteogenesis imperfecta Osteoporosis Paediatric Osteoporosis Paget’s disease Phocomelia Pseudohypoparathyroidism Radial dysplasia Skeletal dysplasia Thanatophoric dwarfism Ulna dysplasia Rare Cancer and Adrenocortical tumours Acute monoblastic leukaemia Tumours Carcinoid tumours Brain tumour Craniopharyngioma Colon cancer, familial nonpolyposis Embryonal tumours of CNS Craniopharyngioma Ependymoma Desmoid disease Epithelial thymic tumours in