Identification of Biomarkers of Adrenocortical Carcinoma Using Genomewide Gene Expression Profiling

Total Page:16

File Type:pdf, Size:1020Kb

Identification of Biomarkers of Adrenocortical Carcinoma Using Genomewide Gene Expression Profiling PAPER Identification of Biomarkers of Adrenocortical Carcinoma Using Genomewide Gene Expression Profiling Gustavo G. Fernandez-Ranvier, MD; Julie Weng, BS; Ru-Fang Yeh, PhD; Elham Khanafshar, MD; Insoo Suh, MD; Christopher Barker, PhD; Quan Yang Duh, MD; Orlo H. Clark, MD; Electron Kebebew, MD Hypothesis: The gene expression profiles of benign and Results: We found 37 genes differentially expressed by malignant adrenocortical tumors are different. 8-fold higher or lower. Fifteen genes were downregu- lated and 22 were upregulated in adrenocortical carci- Design: Genomewide gene expression profiling and vali- noma. Of the 37 genes, 29 differentially expressed by dation. microarray correlated with the gene expression levels by quantitative RT-PCR (PՅ.01). Of the 37 genes vali- Setting: Tertiary medical center. dated by RT-PCR, 22 were significantly differentially expressed between benign and malignant adrenocorti- Patients: Eighty-five patients with benign adrenocorti- cal tumors (PϽ.05). Five of these 22 genes had an AUC cal tumors (n=74) and adrenocortical carcinoma (n=11). of 0.80 or greater (the AUC for IL13RA2 was 0.90; HTR2B, 0.87; CCNB2, 0.86; RARRES2, 0.86; and Intervention: Real-time quantitative reverse transcrip- tion–polymerase chain reaction (RT-PCR) in 89 adre- SLC16A9, 0.80), indicating high diagnostic accuracy for nocortical tissue samples (11 malignant and 78 be- distinguishing benign from malignant adrenocortical nign). The criteria for differentially expressed genes tumors. between benign and malignant adrenocortical tumors were a false discovery rate of less than 5% and an adjusted Conclusion: We identified 37 genes that are dysregu- PϽ.01. Genes differentially expressed by 8-fold higher lated in adrenocortical carcinoma, and several of the dif- or lower were validated by RT-PCR. ferentially expressed genes have excellent diagnostic ac- curacy for distinguishing benign from malignant Main Outcome Measures: The diagnostic accuracy adrenocortical tumors. of differentially expressed genes as determined by the area under the receiver operating characteristic curve (AUC). Arch Surg. 2008;143(9):841-846 DRENOCORTICAL TUMORS vasion or metastatic disease. However, are common, with a preva- most adrenocortical tumors are local- lence of approximately 4% ized, and there are no clinically reliable cri- in the US population. They teria to distinguish benign from malig- are discovered as a result nant localized adrenocortical tumors. Aof hormonal hypersecretion (Cushing syn- Consequently, sometimes patients are mis- drome, primary hyperaldosteronism, and diagnosed as having benign tumors based other conditions), because of local symp- on histologic examination but later de- Author Affiliations: toms (back or abdominal pain), and, most velop aggressive recurrent disease, even af- Departments of Surgery frequently, on abdominal imaging for ter initial complete resection.5 On the other (Drs Fernandez-Ranvier, Suh, another clinical indication (adrenal hand, many patients with adrenal inci- Duh, Clark, and Kebebew and incidentaloma).1,2 In contrast, adrenocor- dentaloma are subjected to adrenalec- Ms Weng), Epidemiology and tical carcinoma is rare, with an annual in- tomy based on the risk of adrenocortical Biostatistics (Dr Yeh), and cidence of 2 cases per million persons per carcinoma as estimated by tumor size, but Pathology (Dr Khanafshar), year, and it accounts for 0.2% of cancer histologic examination and long-term fol- J. David Gladstone Institutes deaths.3,4 Five-year survival for patients low-up show their tumors to be benign.6 Genomics Core Laboratory with adrenocortical carcinoma varies from Because of the clinical limitations of re- (Dr Barker), and UCSF Helen 3 Diller Family Comprehensive 32% to 45%. liably distinguishing between benign and Cancer Center (Drs Clark and It is relatively easy to distinguish be- malignant adrenocortical tumors, and to Kebebew), University of nign from malignant adrenocortical tu- gain some biological insight into the patho- California, San Francisco. mors when there is gross locoregional in- genesis of adrenocortical carcinoma, sev- (REPRINTED) ARCH SURG/ VOL 143 (NO. 9), SEP 2008 WWW.ARCHSURG.COM 841 ©2008 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 10/02/2021 ing to confirm tissue diagnosis and type (adrenal cortex and me- Table 1. Clinical and Pathologic Features of Patients With dulla). Total RNA was extracted from homogenized frozen tis- Benign Adrenocortical Tumors or Adrenocortical Carcinoma sue using TRIzol reagent (Invitrogen, Carlsbad, California) and was purified using the RNeasy Mini Kit (Qiagen, Valencia, Cali- Benign Adrenocortical Adrenocortical fornia). We used 1 µg of total RNA for amplification and label- Tumor Carcinoma ing with a kit (MessageAmp aRNA Kit; Ambion Inc, Foster City, Feature (n=74) (n=11) California). Labeled and fragmented complementary RNA, 12 µg, Sex, No. (%)a was hybridized to a gene chip (Affymetrix Human Genome U133 Male 24 (34) 2 (29) Plus 2.0 GeneChip; Affymetrix Inc, Santa Clara, California) for Female 47 (66) 5 (71) 16 hours at 45°C. The gene chip arrays were stained and washed Male to female ratio 1:1.88 1:2.50 (Affymetrix Fluidics Station 400; Affymetrix Inc), according to Age at initial operation, 49.6 (11.8) [18-72] 49.7 (21.8) [18-77] the manufacturer’s protocol. The probe intensities were mea- mean (SD) [range], y sured using an argon laser confocal scanner (GeneArray Scan- Tumor size, mean 3.2 (2.0-6.5) 9.9 (3.5-20.0) ner; Hewlett-Packard, Palo Alto, California). (range), cm Functioning, No. 54 (24 with Cushing 7 (4 with virilizing syndrome and disease and REAL-TIME QUANTITATIVE RT-PCR 30 with 3 with Cushing hyperaldosteronism) syndrome) Genes differentially expressed in the microarray experiments Nonfunctioning, No. 20 4 were validated by means of real-time quantitative TaqMan (Ap- Follow-up, mean 25.7 (1-120) 25.6 (1-63) plied Biosystems, Foster City) RT-PCR in individual samples. (range), mo The same stock of total RNA used for the gene array experi- ments was used for the real-time quantitative RT-PCR. Total aSome patients had multiple tumor samples. RNA, 125 ng/µL, was reverse transcribed using the RT script complementary DNA synthesis kit (USB Corp, Cleveland, Ohio). eral investigators have used genomewide gene expres- Real-time quantitative PCR was used to measure messenger RNA sion profiling. Some of these studies7-10 have identified expression levels relative to glyceraldehyde-3-phosphate de- hydrogenase messenger RNA expression. The gene expres- candidate diagnostic biomarkers of adrenocortical car- ⌬ ϫ cinoma and molecular profiles that distinguish between sion level is as follows: Ct=−2 (Ct of the gene of interest−Ct of glyceraldehyde-3-phosphate dehydrogenase), where Ct is the benign and malignant adrenocortical tumors. However, PCR cycle threshold. The PCR primers and probes for the genes the specific candidate genes found in these studies have were purchased from Applied Biosystems (Assay-on-Demand been discordant, possibly as a result of different ap- Kit). All the PCR experiments were performed in a final vol- proaches to data analysis. In addition, some studies have ume of 20 µL, with 1 µL of complementary DNA template on not validated microarray data using quantitative meth- a detection system (ABI PRISM 7900 Sequence Detection Sys- ods. Most important, to our knowledge, a formal analy- tem; Applied Biosystems). The PCR thermal cycler condition sis of the diagnostic accuracy of the proposed biomark- was 95°C for 12 minutes, followed by 40 cycles at 95°C for ers of adrenocortical carcinoma has not been performed. 15 seconds and 60°C for 1 minute. We, therefore, analyzed the genomewide expression pro- file of benign vs malignant adrenocortical tumors to iden- DATA ANALYSIS AND STATISTICAL ANALYSIS tify candidate markers. We then validated these mark- ers using real-time quantitative reverse transcription– Raw microarray data were analyzed using the Affy package polymerase chain reaction (RT-PCR) and evaluated their (Affymetrix GeneChip Operating software; Affymetrix Inc) in diagnostic accuracy. the free statistical environment R/Bioconductor to generate an intensity value in log2 scale for each probe set using the ro- bust multiarray average method with default variables.11-13 For METHODS the class comparison (benign vs malignant), we used the limma package in R/Bioconductor to calculate the moderated t statis- TISSUE SAMPLES tics and the associated P values and the log posterior odds ra- tio (B statistic) that a gene is differentially expressed vs not dif- A total of 89 human adrenocortical tissue samples were ob- ferentially expressed.14 The P values were adjusted for multiple tained at surgical resection and were immediately snap frozen testing by controlling for the false discovery rate using the Ben- and stored at −80°C. Patient and tumor characteristics are sum- jamini-Hochberg method.15 marized in Table 1. Each tumor sample was reviewed again To evaluate the accuracy of candidate markers to distin- and was confirmed to be adrenocortical tissue. Approval for this guish benign from malignant adrenocortical tumors, we deter- study was obtained from the Committee on Human Research mined the area under the receiver operating characteristic curve at the University of California, San Francisco. (AUC). A stepwise regression analysis was used to determine Adrenocortical carcinoma was defined when gross local in- the AUC for the combination of markers. vasion or
Recommended publications
  • 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.
    [Show full text]
  • Identification of Potential Markers for Type 2 Diabetes Mellitus Via Bioinformatics Analysis
    1868 MOLECULAR MEDICINE REPORTS 22: 1868-1882, 2020 Identification of potential markers for type 2 diabetes mellitus via bioinformatics analysis YANA LU1, YIHANG LI1, GUANG LI1* and HAITAO LU2* 1Key Laboratory of Dai and Southern Medicine of Xishuangbanna Dai Autonomous Prefecture, Yunnan Branch, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Jinghong, Yunnan 666100; 2Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, P.R. China Received March 20, 2019; Accepted January 20, 2020 DOI: 10.3892/mmr.2020.11281 Abstract. Type 2 diabetes mellitus (T2DM) is a multifactorial and cell proliferation’. These candidate genes were also involved in multigenetic disease, and its pathogenesis is complex and largely different signaling pathways associated with ‘PI3K/Akt signaling unknown. In the present study, microarray data (GSE201966) of pathway’, ‘Rap1 signaling pathway’, ‘Ras signaling pathway’ β-cell enriched tissue obtained by laser capture microdissection and ‘MAPK signaling pathway’, which are highly associated were downloaded, including 10 control and 10 type 2 diabetic with the development of T2DM. Furthermore, a microRNA subjects. A comprehensive bioinformatics analysis of microarray (miR)-target gene regulatory network and a transcription data in the context of protein-protein interaction (PPI) networks factor-target gene regulatory network were constructed based was employed, combined with subcellular location information on miRNet and NetworkAnalyst databases, respectively. to mine the potential candidate genes for T2DM and provide Notably, hsa-miR‑192-5p, hsa-miR‑124-5p and hsa-miR‑335-5p further insight on the possible mechanisms involved. First, appeared to be involved in T2DM by potentially regulating the differential analysis screened 108 differentially expressed expression of various candidate genes, including procollagen genes.
    [Show full text]
  • GIPC2 Antibody
    Product Datasheet GIPC2 Antibody Catalog No: #32240 Orders: [email protected] Description Support: [email protected] Product Name GIPC2 Antibody Host Species Rabbit Clonality Polyclonal Purification Antibodies were purified by affinity purification using immunogen. Applications WB IHC Species Reactivity Hu Ms Rt Specificity The antibody detects endogenous level of total GIPC2 protein. Immunogen Type Recombinant Protein Immunogen Description Recombinant protein of human GIPC2. Target Name GIPC2 Other Names GIPC2; FLJ20075; SEMCAP-2; SEMCAP2; Accession No. Swiss-Prot:Q8TF65NCBI Gene ID:54810 SDS-PAGE MW 34KD Concentration 1.0mg/ml Formulation Supplied at 1.0mg/mL in phosphate buffered saline (without Mg2+ and Ca2+), pH 7.4, 150mM NaCl, 0.02% sodium azide and 50% glycerol. Storage Store at -20°C Application Details Western blotting: 1:500 - 1:2000 Immunohistochemistry: 1:50 - 1:100 Images Western blot analysis of extracts of various cell lines, using GIPC2 antibody. Background The eukaryotic PDZ domain is a multifunctional protein-protein interacting motif that is found in a variety of proteins and is involved in both the clustering of signaling molecules and the organization of protein networks. GIPC2 (GIPC PDZ domain containing family, member 2), also known as Address: 8400 Baltimore Ave., Suite 302, College Park, MD 20740, USA http://www.sabbiotech.com 1 SEMCAP2, is a 315 amino acid protein that localizes to the cytoplasm and contains one PDZ domain. Expressed at high levels in kidney and colon and at lower levels in adult liver, GIPC2 interacts with SEMA5A and is thought to function as a scaffold protein, possibly modulating cell adhesion and growth factor signaling and playing a role in tumorigenesis.
    [Show full text]
  • Identification of Significant Genes with Poor Prognosis in Ovarian Cancer Via Bioinformatical Analysis
    Feng et al. Journal of Ovarian Research (2019) 12:35 https://doi.org/10.1186/s13048-019-0508-2 RESEARCH Open Access Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis Hao Feng1†, Zhong-Yi Gu2†, Qin Li2, Qiong-Hua Liu3, Xiao-Yu Yang4* and Jun-Jie Zhang2* Abstract Ovarian cancer (OC) is the highest frequent malignant gynecologic tumor with very complicated pathogenesis. The purpose of the present academic work was to identify significant genes with poor outcome and their underlying mechanisms. Gene expression profiles of GSE36668, GSE14407 and GSE18520 were available from GEO database. There are 69 OC tissues and 26 normal tissues in the three profile datasets. Differentially expressed genes (DEGs) between OC tissues and normal ovarian (OV) tissues were picked out by GEO2R tool and Venn diagram software. Next, we made use of the Database for Annotation, Visualization and Integrated Discovery (DAVID) to analyze Kyoto Encyclopedia of Gene and Genome (KEGG) pathway and gene ontology (GO). Then protein-protein interaction (PPI) of these DEGs was visualized by Cytoscape with Search Tool for the Retrieval of Interacting Genes (STRING). There were total of 216 consistently expressed genes in the three datasets, including 110 up-regulated genes enriched in cell division, sister chromatid cohesion, mitotic nuclear division, regulation of cell cycle, protein localization to kinetochore, cell proliferation and Cell cycle, progesterone-mediated oocyte maturation and p53 signaling pathway, while 106 down-regulated genes enriched in palate development, blood coagulation, positive regulation of transcription from RNA polymerase II promoter, axonogenesis, receptor internalization, negative regulation of transcription from RNA polymerase II promoter and no significant signaling pathways.
    [Show full text]
  • Anti-GIPC Antibody [1G10] (ARG57115)
    Product datasheet [email protected] ARG57115 Package: 50 μl anti-GIPC antibody [1G10] Store at: -20°C Summary Product Description Mouse Monoclonal antibody [1G10] recognizes GIPC Tested Reactivity Hu Tested Application FACS, WB Host Mouse Clonality Monoclonal Clone 1G10 Isotype IgG1, kappa Target Name GIPC Antigen Species Human Immunogen Recombinant fragment around aa. 1-315 of Human GIPC Conjugation Un-conjugated Alternate Names PDZ domain-containing protein GIPC2; SEMCAP2; SEMCAP-2 Application Instructions Application table Application Dilution FACS Assay-dependent WB 1:1000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 34 kDa Properties Form Liquid Purification Purification with Protein G. Buffer PBS (pH 7.4), 0.02% Sodium azide and 10% Glycerol. Preservative 0.02% Sodium azide Stabilizer 10% Glycerol Concentration 1 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. 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 1/2 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Database links GeneID: 54810 Human Swiss-port # Q8TF65 Human Gene Symbol GIPC2 Gene Full Name GIPC PDZ domain containing family, member 2 Images ARG57115 anti-GIPC antibody [1G10] FACS image Flow Cytometry: HeLa cells stained with ARG57115 anti-GIPC antibody [1G10] at 2-5 µg / 10^6 cells (red).
    [Show full text]
  • Robles JTO Supplemental Digital Content 1
    Supplementary Materials An Integrated Prognostic Classifier for Stage I Lung Adenocarcinoma based on mRNA, microRNA and DNA Methylation Biomarkers Ana I. Robles1, Eri Arai2, Ewy A. Mathé1, Hirokazu Okayama1, Aaron Schetter1, Derek Brown1, David Petersen3, Elise D. Bowman1, Rintaro Noro1, Judith A. Welsh1, Daniel C. Edelman3, Holly S. Stevenson3, Yonghong Wang3, Naoto Tsuchiya4, Takashi Kohno4, Vidar Skaug5, Steen Mollerup5, Aage Haugen5, Paul S. Meltzer3, Jun Yokota6, Yae Kanai2 and Curtis C. Harris1 Affiliations: 1Laboratory of Human Carcinogenesis, NCI-CCR, National Institutes of Health, Bethesda, MD 20892, USA. 2Division of Molecular Pathology, National Cancer Center Research Institute, Tokyo 104-0045, Japan. 3Genetics Branch, NCI-CCR, National Institutes of Health, Bethesda, MD 20892, USA. 4Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan. 5Department of Chemical and Biological Working Environment, National Institute of Occupational Health, NO-0033 Oslo, Norway. 6Genomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), 08916 Badalona (Barcelona), Spain. List of Supplementary Materials Supplementary Materials and Methods Fig. S1. Hierarchical clustering of based on CpG sites differentially-methylated in Stage I ADC compared to non-tumor adjacent tissues. Fig. S2. Confirmatory pyrosequencing analysis of DNA methylation at the HOXA9 locus in Stage I ADC from a subset of the NCI microarray cohort. 1 Fig. S3. Methylation Beta-values for HOXA9 probe cg26521404 in Stage I ADC samples from Japan. Fig. S4. Kaplan-Meier analysis of HOXA9 promoter methylation in a published cohort of Stage I lung ADC (J Clin Oncol 2013;31(32):4140-7). Fig. S5. Kaplan-Meier analysis of a combined prognostic biomarker in Stage I lung ADC.
    [Show full text]
  • Investigating the Effect of Chronic Activation of AMP-Activated Protein
    Investigating the effect of chronic activation of AMP-activated protein kinase in vivo Alice Pollard CASE Studentship Award A thesis submitted to Imperial College London for the degree of Doctor of Philosophy September 2017 Cellular Stress Group Medical Research Council London Institute of Medical Sciences Imperial College London 1 Declaration I declare that the work presented in this thesis is my own, and that where information has been derived from the published or unpublished work of others it has been acknowledged in the text and in the list of references. This work has not been submitted to any other university or institute of tertiary education in any form. Alice Pollard The copyright of this thesis rests with the author and is made available under a Creative Commons Attribution Non-Commercial No Derivatives license. Researchers are free to copy, distribute or transmit the thesis on the condition that they attribute it, that they do not use it for commercial purposes and that they do not alter, transform or build upon it. For any reuse or redistribution, researchers must make clear to others the license terms of this work. 2 Abstract The prevalence of obesity and associated diseases has increased significantly in the last decade, and is now a major public health concern. It is a significant risk factor for many diseases, including cardiovascular disease (CVD) and type 2 diabetes. Characterised by excess lipid accumulation in the white adipose tissue, which drives many associated pathologies, obesity is caused by chronic, whole-organism energy imbalance; when caloric intake exceeds energy expenditure. Whilst lifestyle changes remain the most effective treatment for obesity and the associated metabolic syndrome, incidence continues to rise, particularly amongst children, placing significant strain on healthcare systems, as well as financial burden.
    [Show full text]
  • A Grainyhead-Like 2/Ovo-Like 2 Pathway Regulates Renal Epithelial Barrier Function and Lumen Expansion
    BASIC RESEARCH www.jasn.org A Grainyhead-Like 2/Ovo-Like 2 Pathway Regulates Renal Epithelial Barrier Function and Lumen Expansion † ‡ | Annekatrin Aue,* Christian Hinze,* Katharina Walentin,* Janett Ruffert,* Yesim Yurtdas,*§ | Max Werth,* Wei Chen,* Anja Rabien,§ Ergin Kilic,¶ Jörg-Dieter Schulzke,** †‡ Michael Schumann,** and Kai M. Schmidt-Ott* *Max Delbrueck Center for Molecular Medicine, Berlin, Germany; †Experimental and Clinical Research Center, and Departments of ‡Nephrology, §Urology, ¶Pathology, and **Gastroenterology, Charité Medical University, Berlin, Germany; and |Berlin Institute of Urologic Research, Berlin, Germany ABSTRACT Grainyhead transcription factors control epithelial barriers, tissue morphogenesis, and differentiation, but their role in the kidney is poorly understood. Here, we report that nephric duct, ureteric bud, and collecting duct epithelia express high levels of grainyhead-like homolog 2 (Grhl2) and that nephric duct lumen expansion is defective in Grhl2-deficient mice. In collecting duct epithelial cells, Grhl2 inactivation impaired epithelial barrier formation and inhibited lumen expansion. Molecular analyses showed that GRHL2 acts as a transcrip- tional activator and strongly associates with histone H3 lysine 4 trimethylation. Integrating genome-wide GRHL2 binding as well as H3 lysine 4 trimethylation chromatin immunoprecipitation sequencing and gene expression data allowed us to derive a high-confidence GRHL2 target set. GRHL2 transactivated a group of genes including Ovol2, encoding the ovo-like 2 zinc finger transcription factor, as well as E-cadherin, claudin 4 (Cldn4), and the small GTPase Rab25. Ovol2 induction alone was sufficient to bypass the requirement of Grhl2 for E-cadherin, Cldn4,andRab25 expression. Re-expression of either Ovol2 or a combination of Cldn4 and Rab25 was sufficient to rescue lumen expansion and barrier formation in Grhl2-deficient collecting duct cells.
    [Show full text]
  • Gipc3 Mutations Associated with Audiogenic Seizures and Sensorineural Hearing Loss in Mouse and Human
    ARTICLE Received 18 Aug 2010 | Accepted 19 Jan 2011 | Published 15 Feb 2011 DOI: 10.1038/ncomms1200 Gipc3 mutations associated with audiogenic seizures and sensorineural hearing loss in mouse and human Nikoletta Charizopoulou1 , Andrea Lelli2 , Margit Schraders 3 , 4 , Kausik Ray 5 , Michael S. Hildebrand6 , Arabandi Ramesh 7 , C. R. Srikumari Srisailapathy7 , Jaap Oostrik 3 , 4 , Ronald J. C. Admiraal3 , Harold R. Neely 1 , Joseph R. Latoche1 , Richard J. H. Smith6 , J o h n K . N o r t h u p5 , Hannie Kremer 3 , 4 , J e f f r e y R . H o l t2 & Konrad Noben-Trauth 1 Sensorineural hearing loss affects the quality of life and communication of millions of people, but the underlying molecular mechanisms remain elusive. Here, we identify mutations in Gipc3 underlying progressive sensorineural hearing loss (age-related hearing loss 5, ahl5 ) and audiogenic seizures (juvenile audiogenic monogenic seizure 1, jams1 ) in mice and autosomal recessive deafness DFNB15 and DFNB95 in humans. Gipc3 localizes to inner ear sensory hair cells and spiral ganglion. A missense mutation in the PDZ domain has an attenuating effect on mechanotransduction and the acquisition of mature inner hair cell potassium currents. Magnitude and temporal progression of wave I amplitude of afferent neurons correlate with susceptibility and resistance to audiogenic seizures. The Gipc3 343A allele disrupts the structure of the stereocilia bundle and affects long-term function of auditory hair cells and spiral ganglion neurons. Our study suggests a pivotal role of Gipc3 in acoustic signal acquisition and propagation in cochlear hair cells. 1 Section on Neurogenetics, Laboratory of Molecular Biology, National Institute on Deafness and Other Communication Disorders, National Institutes of Health , Rockville , Maryland 20850 , USA .
    [Show full text]
  • The Pdx1 Bound Swi/Snf Chromatin Remodeling Complex Regulates Pancreatic Progenitor Cell Proliferation and Mature Islet Β Cell
    Page 1 of 125 Diabetes The Pdx1 bound Swi/Snf chromatin remodeling complex regulates pancreatic progenitor cell proliferation and mature islet β cell function Jason M. Spaeth1,2, Jin-Hua Liu1, Daniel Peters3, Min Guo1, Anna B. Osipovich1, Fardin Mohammadi3, Nilotpal Roy4, Anil Bhushan4, Mark A. Magnuson1, Matthias Hebrok4, Christopher V. E. Wright3, Roland Stein1,5 1 Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 2 Present address: Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 3 Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN 4 Diabetes Center, Department of Medicine, UCSF, San Francisco, California 5 Corresponding author: [email protected]; (615)322-7026 1 Diabetes Publish Ahead of Print, published online June 14, 2019 Diabetes Page 2 of 125 Abstract Transcription factors positively and/or negatively impact gene expression by recruiting coregulatory factors, which interact through protein-protein binding. Here we demonstrate that mouse pancreas size and islet β cell function are controlled by the ATP-dependent Swi/Snf chromatin remodeling coregulatory complex that physically associates with Pdx1, a diabetes- linked transcription factor essential to pancreatic morphogenesis and adult islet-cell function and maintenance. Early embryonic deletion of just the Swi/Snf Brg1 ATPase subunit reduced multipotent pancreatic progenitor cell proliferation and resulted in pancreas hypoplasia. In contrast, removal of both Swi/Snf ATPase subunits, Brg1 and Brm, was necessary to compromise adult islet β cell activity, which included whole animal glucose intolerance, hyperglycemia and impaired insulin secretion. Notably, lineage-tracing analysis revealed Swi/Snf-deficient β cells lost the ability to produce the mRNAs for insulin and other key metabolic genes without effecting the expression of many essential islet-enriched transcription factors.
    [Show full text]
  • Cell Leukemia Virus Tax Oncoprotein
    bioRxiv preprint doi: https://doi.org/10.1101/2021.08.25.457680; this version posted August 25, 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. Interactome and structural basis for targeting the human T- cell leukemia virus Tax oncoprotein Sibusiso B. Maseko1, Inge Van Molle2, Karim Blibek1, Christoph Gorgulla3-5, Julien Olivet1, Jeremy Blavier1, Charlotte Vandermeulen1, Stéphanie Skupiewski1, Deeya Saha1, Thandokuhle Ntombela6, Julianne Lim7, Frederique Lembo8, Aurelie Beauvois9, Malik Hamaidia9, Jean-Paul Borg8, Pascale Zimmermann8,10, Frank Delvigne11, Luc Willems9,11, Johan Van Weyenbergh12, Dae-Kyum Kim7, 13-15, Franck Dequiedt16, Haribabu Arthanari3-5, Alexander N. Volkov2,17,*, Jean-Claude Twizere1,11,18,* 1Laboratory of Viral Interactomes, Unit of Molecular Biology of Diseases, GIGA Institute, University of Liege, Liège, Belgium. 2VIB-VUB Center for Structural Biology, Flemish Institute of Biotechnology (VIB), Pleinlaan 2, Brussels, Belgium. 3Department of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA. 4Department of Physics, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA. 5Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA. 6Catalysis and Peptide Research Unit, School of Health Sciences, University of KwaZulu Natal, Durban 4001, South Africa. 7Center for Personalized Medicine, Roswell Park Comprehensive Cancer Cen- ter, Buffalo, New York, USA. 8Aix Marseille Univ, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Equipe labellisée Ligue ‘Cell polarity, Cell signaling and Cancer, Marseille, France. 9Laboratory of Cellular and Molecular Epigenetics, Cancer Unit, GIGA Institute, University of Liege, Liege, Belgium. 10Department of Human Genetics, KU Leuven, Belgium.
    [Show full text]
  • The GIPC1‐Akt1 Pathway Is Required for the Specification of The
    EMBRYONIC STEM CELLS/INDUCED PLURIPOTENT STEM CELLS The GIPC1-Akt1 Pathway Is Required for the Specification of the Eye Field in Mouse Embryonic Stem Cells a,b a c c ANNA LA TORRE, AKINA HOSHINO, CHRISTOPHER CAVANAUGH, CAROL B. WARE, a THOMAS A. REH Key Words. Signal transduction • Retina • Retinal photoreceptors • Retinal pigmented epithelium • Neural differentiation aDepartment of Biological ABSTRACT Structure, Institute for Stem During early patterning of the neural plate, a single region of the embryonic forebrain, the eye Cells and Regenerative field, becomes competent for eye development. The hallmark of eye field specification is the Medicine and cDepartment expression of the eye field transcription factors (EFTFs). Experiments in fish, amphibians, birds, of Comparative Medicine, and mammals have demonstrated largely conserved roles for the EFTFs. Although some of the University of Washington, key signaling events that direct the synchronized expression of these factors to the eye field Seattle, Washington, USA; bDepartment of Cell Biology have been elucidated in fish and frogs, it has been more difficult to study these mechanisms and Human Anatomy, School in mammalian embryos. In this study, we have used two different methods for directed differ- of Medicine, University of entiation of mouse embryonic stem cells (mESCs) to generate eye field cells and retina in vitro California, Davis, California, to test for a role of the PDZ domain-containing protein GIPC1 in the specification of the mam- USA malian eye primordia. We find that the overexpression of a dominant-negative form of GIPC1 (dnGIPC1), as well as the downregulation of endogenous GIPC1, is sufficient to inhibit the Correspondence: Thomas A.
    [Show full text]