RNA-Binding Protein SORBS2 Suppresses Clear Cell Renal Cell
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Genetic Analysis of Retinopathy in Type 1 Diabetes
Genetic Analysis of Retinopathy in Type 1 Diabetes by Sayed Mohsen Hosseini A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Medical Science University of Toronto © Copyright by S. Mohsen Hosseini 2014 Genetic Analysis of Retinopathy in Type 1 Diabetes Sayed Mohsen Hosseini Doctor of Philosophy Institute of Medical Science University of Toronto 2014 Abstract Diabetic retinopathy (DR) is a leading cause of blindness worldwide. Several lines of evidence suggest a genetic contribution to the risk of DR; however, no genetic variant has shown convincing association with DR in genome-wide association studies (GWAS). To identify common polymorphisms associated with DR, meta-GWAS were performed in three type 1 diabetes cohorts of White subjects: Diabetes Complications and Control Trial (DCCT, n=1304), Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR, n=603) and Renin-Angiotensin System Study (RASS, n=239). Severe (SDR) and mild (MDR) retinopathy outcomes were defined based on repeated fundus photographs in each study graded for retinopathy severity on the Early Treatment Diabetic Retinopathy Study (ETDRS) scale. Multivariable models accounted for glycemia (measured by A1C), diabetes duration and other relevant covariates in the association analyses of additive genotypes with SDR and MDR. Fixed-effects meta- analysis was used to combine the results of GWAS performed separately in WESDR, ii RASS and subgroups of DCCT, defined by cohort and treatment group. Top association signals were prioritized for replication, based on previous supporting knowledge from the literature, followed by replication in three independent white T1D studies: Genesis-GeneDiab (n=502), Steno (n=936) and FinnDiane (n=2194). -
PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
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. -
IDENTIFICATION and CHARACTERIZATION of ACTIN-REGULATORY PROTEINS in the HAIR CELL's CUTICULAR PLATE by LANA MARY POLLOCK Subm
IDENTIFICATION AND CHARACTERIZATION OF ACTIN-REGULATORY PROTEINS IN THE HAIR CELL’S CUTICULAR PLATE by LANA MARY POLLOCK Submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy Dissertation advisor: Brian M. McDermott Jr., Ph.D. Department of Genetics and Genome Sciences CASE WESTERN RESERVE UNIVERSITY January 2016 Case Western Reserve University School of Graduate Studies We, the thesis committee, hereby approve the thesis/dissertation of Lana Pollock, candidate for the degree of Doctor of Philosophy (PhD).* (signed)_________Zhenghe Wang, Ph.D._________________ (chair of committee) ___________Brian McDermott, Ph.D._______________ ___________ Hua Lou, Ph.D._____________________ ___________Stephen Maricich, Ph.D., M.D.___________ ___________Anthony Wynshaw-Boris, Ph.D., M.D._____ Date of defense_____September 8th, 2015_______________ *we also certify that written approval has been obtained for release of any proprietary material contained therein 2 This thesis is dedicated to Daniel Margevicius. Thank you for your unwavering love and support. Ačiū!! 3 Table of contents List of Tables ........................................................................................................ 7 List of Figures ....................................................................................................... 8 List of abbreviations ............................................................................................ 13 Abstract ............................................................................................................. -
Mouse Mtus1 Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Mtus1 Knockout Project (CRISPR/Cas9) Objective: To create a Mtus1 knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Mtus1 gene (NCBI Reference Sequence: NM_001005863 ; Ensembl: ENSMUSG00000045636 ) is located on Mouse chromosome 8. 14 exons are identified, with the ATG start codon in exon 2 and the TGA stop codon in exon 14 (Transcript: ENSMUST00000059115). Exon 2~3 will be selected as target site. Cas9 and gRNA will be co-injected into fertilized eggs for KO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Mice homozygous for a gene trap allele exhibit spontaneous heart hypertrophy and SLE-like lymphoproliferative disease. Exon 2 starts from the coding region. Exon 2~3 covers 62.26% of the coding region. The size of effective KO region: ~8609 bp. The KO region does not have any other known gene. Page 1 of 9 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 3 14 Legends Exon of mouse Mtus1 Knockout region Page 2 of 9 https://www.alphaknockout.com Overview of the Dot Plot (up) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section upstream of Exon 2 is aligned with itself to determine if there are tandem repeats. No significant tandem repeat is found in the dot plot matrix. So this region is suitable for PCR screening or sequencing analysis. Overview of the Dot Plot (down) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section downstream of Exon 3 is aligned with itself to determine if there are tandem repeats. -
Vinexin Family (SORBS) Proteins Play Different Roles in Stiffness- Sensing and Contractile Force Generation Takafumi Ichikawa1,2, Masahiro Kita1, Tsubasa S
© 2017. Published by The Company of Biologists Ltd | Journal of Cell Science (2017) 130, 3517-3531 doi:10.1242/jcs.200691 RESEARCH ARTICLE Vinexin family (SORBS) proteins play different roles in stiffness- sensing and contractile force generation Takafumi Ichikawa1,2, Masahiro Kita1, Tsubasa S. Matsui3,4, Ayaka Ichikawa Nagasato1, Tomohiko Araki3, Shian-Huey Chiang5, Takuhito Sezaki1, Yasuhisa Kimura1, Kazumitsu Ueda1,2, Shinji Deguchi3,4, Alan R. Saltiel5,* and Noriyuki Kioka1,2,‡ ABSTRACT generating actin stress fibers (SFs) (Geiger et al., 2001). This Vinexin, c-Cbl associated protein (CAP) and Arg-binding protein 2 ‘ ’ (ArgBP2) constitute an adaptor protein family called the vinexin mechanical linkage acts as a molecular clutch to transmit the force (SORBS) family that is targeted to focal adhesions (FAs). Although derived from non-muscle myosin-II-dependent contraction to the numerous studies have focused on each of the SORBS proteins and ECM. Cells on more rigid substrates exert greater contractile forces partially elucidated their involvement in mechanotransduction, a than those on soft substrates (Hoffman et al., 2011; Roca-Cusachs comparative analysis of their function has not been well addressed. et al., 2012; LaCroix et al., 2015). These alterations can lead to Here, we established mouse embryonic fibroblasts that individually stiffness-dependent biochemical signals. Among the numerous FA scaffolding proteins, vinculin is one of expressed SORBS proteins and analysed their functions in an ‘ ’ identical cell context. Both vinexin-α and CAP co-localized with the main clutch molecules that can regulate force transmission. vinculin at FAs and promoted the appearance of vinculin-rich FAs, Vinculin consists of an N-terminal head region and a C-terminal tail α region separated by a flexible proline-rich linker region (Bakolitsa whereas ArgBP2 co-localized with -actinin at the proximal end of – FAs and punctate structures on actin stress fibers (SFs), and induced et al., 2004; Borgon et al., 2004). -
Duke University Dissertation Template
Gene-Environment Interactions in Cardiovascular Disease by Cavin Keith Ward-Caviness Graduate Program in Computational Biology and Bioinformatics Duke University Date:_______________________ Approved: ___________________________ Elizabeth R. Hauser, Supervisor ___________________________ William E. Kraus ___________________________ Sayan Mukherjee ___________________________ H. Frederik Nijhout Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate Program in Computational Biology and Bioinformatics in the Graduate School of Duke University 2014 i v ABSTRACT Gene-Environment Interactions in Cardiovascular Disease by Cavin Keith Ward-Caviness Graduate Program in Computational Biology and Bioinformatics Duke University Date:_______________________ Approved: ___________________________ Elizabeth R. Hauser, Supervisor ___________________________ William E. Kraus ___________________________ Sayan Mukherjee ___________________________ H. Frederik Nijhout An abstract of a dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate Program in Computational Biology and Bioinformatics in the Graduate School of Duke University 2014 Copyright by Cavin Keith Ward-Caviness 2014 Abstract In this manuscript I seek to demonstrate the importance of gene-environment interactions in cardiovascular disease. This manuscript contains five studies each of which contributes to our understanding of the joint impact of genetic variation -
SORBS2 Transcription Is Activated by Telomere Position Effect–Over Long Distance Upon Telomere Shortening in Muscle Cells From
SORBS2 transcription is activated by telomere position effect–over long distance upon telomere shortening in muscle cells from patients with facioscapulohumeral dystrophy Jérôme Robin, Andrew Ludlow, Kimberly Batten, Marie-Cécile Gaillard, Guido Stadler, Frédérique Magdinier, Woodring Wright, Jerry W. Shay To cite this version: Jérôme Robin, Andrew Ludlow, Kimberly Batten, Marie-Cécile Gaillard, Guido Stadler, et al.. SORBS2 transcription is activated by telomere position effect–over long distance upon telomere shortening in muscle cells from patients with facioscapulohumeral dystrophy. Genome Research, Cold Spring Harbor Laboratory Press, 2015, 25 (12), pp.1781 - 1790. 10.1101/gr.190660.115. hal- 01663663 HAL Id: hal-01663663 https://hal-amu.archives-ouvertes.fr/hal-01663663 Submitted on 14 Dec 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Downloaded from genome.cshlp.org on December 13, 2017 - Published by Cold Spring Harbor Laboratory Press Research SORBS2 transcription is activated by telomere position effect–over long distance upon telomere shortening in muscle cells from patients with facioscapulohumeral dystrophy Jérôme D. Robin,1 Andrew T. Ludlow,1 Kimberly Batten,1 Marie-Cécile Gaillard,2 Guido Stadler,1 Frédérique Magdinier,2 Woodring E. -
Egfr Activates a Taz-Driven Oncogenic Program in Glioblastoma
EGFR ACTIVATES A TAZ-DRIVEN ONCOGENIC PROGRAM IN GLIOBLASTOMA by Minling Gao A thesis submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland March 2020 ©2020 Minling Gao All rights reserved Abstract Hyperactivated EGFR signaling is associated with about 45% of Glioblastoma (GBM), the most aggressive and lethal primary brain tumor in humans. However, the oncogenic transcriptional events driven by EGFR are still incompletely understood. We studied the role of the transcription factor TAZ to better understand master transcriptional regulators in mediating the EGFR signaling pathway in GBM. The transcriptional coactivator with PDZ- binding motif (TAZ) and its paralog gene, the Yes-associated protein (YAP) are two transcriptional co-activators that play important roles in multiple cancer types and are regulated in a context-dependent manner by various upstream signaling pathways, e.g. the Hippo, WNT and GPCR signaling. In GBM cells, TAZ functions as an oncogene that drives mesenchymal transition and radioresistance. This thesis intends to broaden our understanding of EGFR signaling and TAZ regulation in GBM. In patient-derived GBM cell models, EGF induced TAZ and its known gene targets through EGFR and downstream tyrosine kinases (ERK1/2 and STAT3). In GBM cells with EGFRvIII, an EGF-independent and constitutively active mutation, TAZ showed EGF- independent hyperactivation when compared to EGFRvIII-negative cells. These results revealed a novel EGFR-TAZ signaling axis in GBM cells. The second contribution of this thesis is that we performed next-generation sequencing to establish the first genome-wide map of EGF-induced TAZ target genes. -
1 SORBS2 Is a Susceptibility Gene to Arrhythmogenic Right Ventricular Cardiomyopathy Yonghe Ding, Phd,1, 2* Jingchun Yang, Phd 1
bioRxiv preprint doi: https://doi.org/10.1101/725077; this version posted August 5, 2019. 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. SORBS2 is a susceptibility gene to arrhythmogenic right ventricular cardiomyopathy Yonghe Ding, PhD,1, 2* Jingchun Yang, PhD 1, 2*,% Peng Chen, MD,3,# Tong Lu, PhD, MD,2,# Kunli Jiao, MD,1, 2, 4 David Tester, PhD,2 Kai Jiang, PhD,5 Michael J Ackerman, MD, PhD,2 Yigang Li, MD,4 Dao Wu Wang, MD,6 Dao Wen Wang, MD,3 Hon-Chi Lee, MD, PhD,2 Xiaolei Xu, PhD,1, 2 1 Department of Biochemistry and Molecular Biology, 2 Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA. 3 Division of Cardiology, Departments of Internal Medicine and Genetic Diagnosis Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Hubei Key Laboratory of Genetics and Molecular Mechanism of Cardiologic Disorders, Wuhan, China. 4 Division of Cardiology, Xinhua Hospital, Shanghai Jiaotong University. 5 Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA. 6 State Key Laboratory of Reproductive Medicine, Clinical Center of Reproductive Medicine and Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. *, # Equal contribution % Current address: Gastrointestinal Department, Mayo Clinic Short title: SORBS2 is an ARVC gene Total word count: 6878 1 bioRxiv preprint doi: https://doi.org/10.1101/725077; this version posted August 5, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
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. -
Phosphoproteomic Profiling of Human Myocardial Tissues Distinguishes Ischemic from Non-Ischemic End Stage Heart Failure
Phosphoproteomic Profiling of Human Myocardial Tissues Distinguishes Ischemic from Non-Ischemic End Stage Heart Failure Matthew A. Schechter1., Michael K. H. Hsieh1., Linda W. Njoroge1, J. Will Thompson2, Erik J. Soderblom2, Bryan J. Feger1, Constantine D. Troupes1, Kathleen A. Hershberger3,4, Olga R. Ilkayeva3, Whitney L. Nagel1, Gina P. Landinez1, Kishan M. Shah1, Virginia A. Burns5, Lucia Santacruz1, Matthew D. Hirschey3,4, Matthew W. Foster6, Carmelo A. Milano1, M. Arthur Moseley2, Valentino Piacentino III1, Dawn E. Bowles1* 1 Department of Surgery, Duke University Medical Center, Durham, North Carolina, United States of America, 2 Duke Proteomics Core, Duke University Medical Center, Durham, North Carolina, United States of America, 3 Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, United States of America, 4 Department of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America, 5 Duke Translational Research Institute, Duke University Medical Center, Durham, North Carolina, United States of America, 6 Division of Pulmonary, Allergy and Critical Care, Medicine, Duke University Medical Center, Durham, North Carolina, United States of America Abstract The molecular differences between ischemic (IF) and non-ischemic (NIF) heart failure are poorly defined. A better understanding of the molecular differences between these two heart failure etiologies may lead to the development of more effective heart failure therapeutics. In this study extensive