Genetic Testing in Inherited Endocrine Disorders
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Genome-Wide Analysis of Differentially Expressed Lncrna in Sporadic Parathyroid Tumors
Osteoporosis International (2019) 30:1511–1519 https://doi.org/10.1007/s00198-019-04959-y ORIGINAL ARTICLE Genome-wide analysis of differentially expressed lncRNA in sporadic parathyroid tumors T. Jiang1 & B. J. Wei2,3 & D. X. Zhang1 & L. Li4 & G. L. Qiao5 & X. A. Yao1 & Z. W. Chen6 & X. Liu6 & X. Y. Du6 Received: 4 December 2018 /Accepted: 25 March 2019 /Published online: 10 April 2019 # International Osteoporosis Foundation and National Osteoporosis Foundation 2019 Abstract Summary Diagnosis of parathyroid carcinoma on histological examination is challenging. Thousands of differentially expressed lncRNAs were identified on the microarray data between parathyroid cancer and adenoma samples. Four lncRNAs were signif- icantly dysregulated in further validation. The BlncRNA score^ calculated from these lncRNAs differentiated parathyroid carcino- mas from adenomas. LncRNAs serve as biomarkers for parathyroid cancer diagnosis. Introduction Diagnosis of parathyroid carcinoma (PC) on histological examination is challenging. LncRNA profile study was conducted to find diagnostic biomarkers for PC. Methods LncRNA arrays containing 91,007 lncRNAs as well as 29,857 mRNAs were used to assess parathyroid specimen (5 carcinomas and 6 adenomas). Bioinformatics analyses were also conducted to compare the microarray results between parathyroid carcinomas and adenomas (PAs). Differentially expressed lncRNAs of 11 PCs and 31 PAs were validated by real-time quantitative PCR. Results On the microarray data between PC and PA samples (fold change ≥ 2, P < 0.05), 1809 differentially expressed lncRNAs and 1349 mRNAs also were identified. All carcinomas were clustered in the same group by clustering analysis using dysregulated lncRNAs or mRNAs. Four lncRNAs (LINC00959, lnc-FLT3-2:2, lnc-FEZF2-9:2, and lnc-RP11-1035H13.3.1-2:1) identified were significantly dysregulated in further RT-PCR validation. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Identification of a Novel Mutation Disrupting the DNA Binding Activity
443 LETTER TO JMG J Med Genet: first published as 10.1136/jmg.2004.026898 on 29 April 2005. Downloaded from Identification of a novel mutation disrupting the DNA binding activity of GCM2 in autosomal recessive familial isolated hypoparathyroidism L Baumber, C Tufarelli, S Patel, P King, C A Johnson, E R Maher, R C Trembath ............................................................................................................................... J Med Genet 2005;42:443–448. doi: 10.1136/jmg.2004.026898 ypoparathyroidism is a heterogeneous group of dis- orders with both acquired and inherited causes, each Key points Hpresenting clinically with hypocalcaemia. Familial cases of hypoparathyroidism may be due to an isolated N Hypoparathyroidism is a heterogeneous group of defect of the parathyroid glands or be a component of a disorders with both acquired and inherited causes, syndrome disorder, examples of which include DiGeorge, each presenting clinically with hypocalcaemia. hypoparathyroidism-retardation-dysmorphism, and Kenny- N Familial isolated hypoparathyroidism is characterised 1 Caffey syndrome. Familial isolated hypoparathyroidism by hypocalcaemia and hyperphosphataemia and may (FIH) is characterised by hypocalcaemia and hyperpho- be due to an inherited deficiency or the abnormal sphataemia and may be due to an inherited deficiency or activity of parathyroid hormone. the abnormal activity of parathyroid hormone (PTH). FIH is heterogeneous with X linked, autosomal dominant, and N Recently, a homozygous deletion within the human autosomal recessive modes of inheritance reported.2 GCM2 gene has been shown to underlie hypopar- Mutations in the PTH gene on chromosome 11p have been athyroidism in one patient, while other compelling described in both autosomal dominant and autosomal evidence indicates a critical role for GCM2 in normal recessive forms of the disorder.34 Mature PTH is generated parathyroid gland function. -
Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. -
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. -
Primepcr™Assay Validation Report
PrimePCR™Assay Validation Report Gene Information Gene Name glial cells missing homolog 2 (Drosophila) Gene Symbol GCM2 Organism Human Gene Summary This gene is a homolog of the Drosophila glial cells missing gene which is thought to act as a binary switch between neuronal and glial cell determination. The protein encoded by this gene contains a conserved N-terminal GCM motif that has DNA-binding activity. The protein is a transcription factor that acts as a master regulator of parathyroid development. It has been suggested that this transcription factor might mediate the effect of calcium on parathyroid hormone expression and secretion in parathyroid cells. Mutations in this gene are associated with hypoparathyroidism. Gene Aliases GCMB, hGCMb RefSeq Accession No. NC_000006.11, NG_008970.1, NT_007592.15 UniGene ID Hs.227098 Ensembl Gene ID ENSG00000124827 Entrez Gene ID 9247 Assay Information Unique Assay ID qHsaCIP0029896 Assay Type Probe - Validation information is for the primer pair using SYBR® Green detection Detected Coding Transcript(s) ENST00000379491 Amplicon Context Sequence ACATAGCCGTCAGGCCACTCTCGGAATTGGTCAAAGAGGGCCAGCTCCTGAGG CATCTGCGGATCGTTGATGTCCCAGCTGAGCTGCATCCCGTA Amplicon Length (bp) 65 Chromosome Location 6:10877579-10881984 Assay Design Intron-spanning Purification Desalted Validation Results Efficiency (%) 101 R2 0.9999 cDNA Cq Target not expressed in universal RNA cDNA Tm (Celsius) Target not expressed in universal RNA Page 1/5 PrimePCR™Assay Validation Report gDNA Cq Target not expressed in universal RNA Specificity -
Cytoplasmic Parafibromin/Hcdc73 Targets and Destabilizes P53 Mrna
ARTICLE Received 4 Apr 2014 | Accepted 1 Oct 2014 | Published 12 Nov 2014 DOI: 10.1038/ncomms6433 Cytoplasmic parafibromin/hCdc73 targets and destabilizes p53 mRNA to control p53-mediated apoptosis Jay-Hyun Jo1, Tae-Moon Chung2, Hyewon Youn2,3 & Joo-Yeon Yoo1 The parafibromin/hCdc73 is a component of the PAFc, which controls RNA polymerase II-mediated general transcription. In parathyroid carcinoma and familial autosomal dominant hyperparathyroidism-jaw tumour (HPT-JT), hCdc73 mutations are heavily implicated, yet the underlying mechanism of its carcinogenic action is poorly understood. Here we demonstrate that hCdc73 specifically controls messenger RNA stability of p53 and p53-mediated apoptosis. hCdc73 is associated with mature p53 mRNA in the cytoplasm and facilitates its degradation. Cytoplasmic hCdc73 physically interacts with eEF1Bg and hSki8, and this interaction is required to bind and destabilize p53 mRNA. Furthermore, enhanced association of p53 mRNA with a cancer-driven hCdc73(K34Q) mutant was also observed. As a result, reduced p53 expression as well as enhanced cell proliferation was acquired in the hCdc73 (K34Q)-overexpressed cells. Altogether, our findings indicate that hCdc73 directly targets p53 mRNA to repress p53 expression, and aberrant regulation of this interaction may lead to tumour progression. 1 Department of Life Sciences, Pohang University of Science and Technology, Life Science Building 208, POSTECH, Nam-Gu, Pohang, Gyungbuk 790-784, Korea. 2 Department of Nuclear Medicine, Cancer Imaging Center, Seoul National University Cancer Hospital, Seoul 110-744, Korea. 3 Tumor Microenvironment Global Core Research Center, Cancer Research Institute, Seoul National University, Seoul 110-799, Korea. Correspondence and requests for materials should be addressed to J.-Y.Y. -
Presence and Significance of a R110W Mutation in the DNA
European Journal of Endocrinology (2010) 162 407–421 ISSN 0804-4643 CLINICAL STUDY Presence and significance of a R110W mutation in the DNA-binding domain of GCM2 gene in patients with isolated hypoparathyroidism and their family members Neeraj Tomar1, Hema Bora2, Ratnakar Singh3, Nandita Gupta1, Punit Kaur4, Shyam Singh Chauhan3, Yagya Dutta Sharma2 and Ravinder Goswami1 Departments of 1Endocrinology and Metabolism, 2Biotechnology, 3Biochemistry and 4Biophysics, All India Institute of Medical Sciences, New Delhi 110029, India (Correspondence should be addressed to R Goswami; Email: [email protected]) Abstract Objective: Glial cells missing 2 (GCM2) gene encodes a parathyroid-specific transcription factor. We assessed GCM2 gene sequence in patients with isolated hypoparathyroidism (IH). Design: Case–control study. Methods: Complete DNA sequencing of the GCM2 gene including its exons, promoter, and 50 and 30 UTRs was performed in 24/101 patients with IH. PCR–restriction fragment length polymorphism was used to detect a novel R110W mutation in all 101 IH patients and 655 healthy controls. Significance of the mutation was assessed by electrophoretic mobility shift assay (EMSA) and nuclear localization on transfection. Results: A heterozygous R110W mutation was present in DNA-binding domain in 11/101 patients (10.9%) and absent in 655 controls (P!10K7). Four of 13 nonaffected first-degree relatives for five of these index cases had R110W mutation. Four heterozygous single nucleotide polymorphisms were found in the 50 region. One of the 11 patients with R110W also had T370M change in compound heterozygous form. Mutant R110W and T370M GCM2 proteins showed decreased binding with GCM recognition elements on EMSA indicating loss of function. -
Insights Into the Non-Coding Genome of Parathyroid Tumors
UNIVERSITÀ DEGLI STUDI DI MILANO SCUOLA di DOTTORATO IN MEDICINA MOLECOLARE E TRASLAZIONALE Dipartimento di Fisiopatologia Chirurgica e dei Trapianti CICLO XXXI Anno Accademico 2017/2018 TESI DI DOTTORATO DI RICERCA Settore Scientifico Disciplinare MED/08 INSIGHTS INTO THE NON-CODING GENOME OF PARATHYROID TUMORS Dottorando: Annamaria MOROTTI Matricola N° R11312 Tutor: Dott.ssa Valentina VAIRA Co-Tutor: Prof.ssa Monica MIOZZO Coordinatore del Corso di Dottorato: Prof. Riccardo GHIDONI ABSTRACT ABSTRACT Recently, long non-coding RNAs (lncRNAs) have been implicated in the regulation of several physiological processes such as cell growth, differentiation and proliferation. Although lncRNAs functions in human diseases have not been completely disclosed, some lncRNAs have already been identified as prognostic and diagnostic biomarkers in different tumors. LncRNAs have also a crucial role in normal development of endocrine organs and their role in endocrine cancer pathogenesis is emerging. Parathyroid tumors are rare and heterogeneous diseases characterized by genetic and epigenetic alterations resulting in aberrant expression of both protein coding and non-coding genes. Tumors of the parathyroid glands show a great variability in clinical features such as parathormone (PTH) secretion, in the pattern of cell proliferation and in the genetic background. Mutations in the oncosuppressor CDC73 are key events in most carcinomas whereas alterations in the tumor suppressor Multiple Endocrine Neoplasia 1 (MEN1, located at 11q13.1) occur in up to a third of sporadic adenomas. Although lncRNAs play a regulatory role in endocrine cancer pathogenesis, a lncRNAs profiling in human parathyroid tumors is missing. Therefore, we investigated known lncRNAs expression in a series of normal (PaN) and pathological (adenomatous, PAd, and carcinomatous, PCa) parathyroid glands and correlated their expression with cytogenetic aberration, CDC73 status and MEN1 level. -
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 -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
DGCR8 Microprocessor Defect Characterizes Familial Multinodular Goiter with Schwannomatosis
The Journal of Clinical Investigation CLINICAL MEDICINE DGCR8 microprocessor defect characterizes familial multinodular goiter with schwannomatosis Barbara Rivera,1,2,3 Javad Nadaf,2,3 Somayyeh Fahiminiya,4 Maria Apellaniz-Ruiz,2,3,4,5 Avi Saskin,5,6 Anne-Sophie Chong,2,3 Sahil Sharma,7 Rabea Wagener,8 Timothée Revil,5,9 Vincenzo Condello,10 Zineb Harra,2,3 Nancy Hamel,4 Nelly Sabbaghian,2,3 Karl Muchantef,11,12 Christian Thomas,13 Leanne de Kock,2,3,5 Marie-Noëlle Hébert-Blouin,14 Angelia V. Bassenden,15 Hannah Rabenstein,8 Ozgur Mete,16,17 Ralf Paschke,18,19,20,21,22 Marc P. Pusztaszeri,23 Werner Paulus,13 Albert Berghuis,15 Jiannis Ragoussis,4,9 Yuri E. Nikiforov,10 Reiner Siebert,8 Steffen Albrecht,24 Robert Turcotte,25,26 Martin Hasselblatt,13 Marc R. Fabian,1,2,3,7,15 and William D. Foulkes1,2,3,4,5,6 1Gerald Bronfman Department of Oncology, McGill University, Montreal, Quebec, Canada. 2Lady Davis Institute for Medical Research and 3Segal Cancer Centre, Jewish General Hospital, Montreal, Quebec, Canada. 4Cancer Research Program, McGill University Health Centre, Montreal, Quebec, Canada. 5Department of Human Genetics, McGill University, Montreal, Quebec, Canada. 6Division of Medical Genetics, Department of Medicine, McGill University Health Centre and Jewish General Hospital, Montreal, Quebec, Canada. 7Department of Experimental Medicine, McGill University, Montreal, Quebec, Canada. 8Institute of Human Genetics, University of Ulm and University of Ulm Medical Center, Ulm, Germany. 9Génome Québec Innovation Centre, McGill University, Montreal, Quebec, Canada. 10Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA. 11Department of Diagnostic Radiology, McGill University, Montreal, Quebec, Canada.