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A Comparative Analysis of Transcribed Genes in the Mouse Hypothalamus and Neocortex Reveals Chromosomal Clustering
A comparative analysis of transcribed genes in the mouse hypothalamus and neocortex reveals chromosomal clustering Wee-Ming Boon*, Tim Beissbarth†, Lavinia Hyde†, Gordon Smyth†, Jenny Gunnersen*, Derek A. Denton*‡, Hamish Scott†, and Seong-Seng Tan* *Howard Florey Institute, University of Melbourne, Parkville 3052, Australia; and †Genetics and Bioinfomatics Division, Walter and Eliza Hall Institute of Medical Research, Royal Parade, Parkville 3050, Australia Contributed by Derek A. Denton, August 26, 2004 The hypothalamus and neocortex are subdivisions of the mamma- representing all of the genes that are expressed (qualitative and lian forebrain, and yet, they have vastly different evolutionary quantitative) in the hypothalamus and neocortex under standard histories, cytoarchitecture, and biological functions. In an attempt conditions. to define these attributes in terms of their genetic activity, we have In the current study, we describe the use of the Serial Analysis compared their genetic repertoires by using the Serial Analysis of of Gene Expression (SAGE) database, which allows simulta- Gene Expression database. From a comparison of 78,784 hypothal- neous detection of the expression levels of the entire genome amus tags with 125,296 neocortical tags, we demonstrate that each without a priori knowledge of gene sequences (13). SAGE takes structure possesses a different transcriptional profile in terms of advantage of the fact that a small sequence tag taken from a gene ontological characteristics and expression levels. Despite its defined position within the transcript is sufficient to identify the more recent evolutionary history, the neocortex has a more com- gene (from known cDNA or EST sequences), and up to 40 tags plex pattern of gene activity. -
Genome Wide Association Study of Response to Interval and Continuous Exercise Training: the Predict‑HIIT Study Camilla J
Williams et al. J Biomed Sci (2021) 28:37 https://doi.org/10.1186/s12929-021-00733-7 RESEARCH Open Access Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study Camilla J. Williams1†, Zhixiu Li2†, Nicholas Harvey3,4†, Rodney A. Lea4, Brendon J. Gurd5, Jacob T. Bonafglia5, Ioannis Papadimitriou6, Macsue Jacques6, Ilaria Croci1,7,20, Dorthe Stensvold7, Ulrik Wislof1,7, Jenna L. Taylor1, Trishan Gajanand1, Emily R. Cox1, Joyce S. Ramos1,8, Robert G. Fassett1, Jonathan P. Little9, Monique E. Francois9, Christopher M. Hearon Jr10, Satyam Sarma10, Sylvan L. J. E. Janssen10,11, Emeline M. Van Craenenbroeck12, Paul Beckers12, Véronique A. Cornelissen13, Erin J. Howden14, Shelley E. Keating1, Xu Yan6,15, David J. Bishop6,16, Anja Bye7,17, Larisa M. Haupt4, Lyn R. Grifths4, Kevin J. Ashton3, Matthew A. Brown18, Luciana Torquati19, Nir Eynon6 and Jef S. Coombes1* Abstract Background: Low cardiorespiratory ftness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. Methods: Participant change in objectively measured V̇O2peak from 18 diferent interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms= (SNPs) signifcantly associ- –5 ated (P < 1 10 ) with the magnitude of V̇O2peak response. -
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. -
Nursing Genetic Research: New Insights Linking Breast Cancer Genetics and Bone Density
healthcare Concept Paper Nursing Genetic Research: New Insights Linking Breast Cancer Genetics and Bone Density 1, 2, 3, Antonio Sanchez-Fernandez y, Raúl Roncero-Martin y, Jose M. Moran * , Jesus Lavado-García 2 , Luis Manuel Puerto-Parejo 2 , Fidel Lopez-Espuela 2, Ignacio Aliaga 3 and María Pedrera-Canal 2 1 Servicio de Tocoginecología, Complejo Hospitalario de Cáceres, 10004 Cáceres, Spain; [email protected] 2 Metabolic Bone Diseases Research Group, Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, Avd. Universidad s/n, 10003 Cáceres, Spain; [email protected] (R.R.-M.); [email protected] (J.L.-G.); [email protected] (L.M.P.-P.); fi[email protected] (F.L.-E.); [email protected] (M.P.-C.) 3 Departamento de Estomatología II, Universidad Complutense de Madrid, 28040 Madrid, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-927-257450 Both authors contributed equally to this work. y Received: 25 April 2020; Accepted: 11 June 2020; Published: 15 June 2020 Abstract: Nursing research is expected to provide options for the primary prevention of disease and health promotion, regardless of pathology or disease. Nurses have the skills to develop and lead research that addresses the relationship between genetic factors and health. Increasing genetic knowledge and research capacity through interdisciplinary cooperation as well as the development of research resources, will accelerate the rate at which nurses contribute to the knowledge about genetics and health. There are currently different fields in which knowledge can be expanded by research developed from the nursing field. Here, we present an emerging field of research in which it is hypothesized that genetics may affect bone metabolism. -
Supplementary Table 1. Pain and PTSS Associated Genes (N = 604
Supplementary Table 1. Pain and PTSS associated genes (n = 604) compiled from three established pain gene databases (PainNetworks,[61] Algynomics,[52] and PainGenes[42]) and one PTSS gene database (PTSDgene[88]). These genes were used in in silico analyses aimed at identifying miRNA that are predicted to preferentially target this list genes vs. a random set of genes (of the same length). ABCC4 ACE2 ACHE ACPP ACSL1 ADAM11 ADAMTS5 ADCY5 ADCYAP1 ADCYAP1R1 ADM ADORA2A ADORA2B ADRA1A ADRA1B ADRA1D ADRA2A ADRA2C ADRB1 ADRB2 ADRB3 ADRBK1 ADRBK2 AGTR2 ALOX12 ANO1 ANO3 APOE APP AQP1 AQP4 ARL5B ARRB1 ARRB2 ASIC1 ASIC2 ATF1 ATF3 ATF6B ATP1A1 ATP1B3 ATP2B1 ATP6V1A ATP6V1B2 ATP6V1G2 AVPR1A AVPR2 BACE1 BAMBI BDKRB2 BDNF BHLHE22 BTG2 CA8 CACNA1A CACNA1B CACNA1C CACNA1E CACNA1G CACNA1H CACNA2D1 CACNA2D2 CACNA2D3 CACNB3 CACNG2 CALB1 CALCRL CALM2 CAMK2A CAMK2B CAMK4 CAT CCK CCKAR CCKBR CCL2 CCL3 CCL4 CCR1 CCR7 CD274 CD38 CD4 CD40 CDH11 CDK5 CDK5R1 CDKN1A CHRM1 CHRM2 CHRM3 CHRM5 CHRNA5 CHRNA7 CHRNB2 CHRNB4 CHUK CLCN6 CLOCK CNGA3 CNR1 COL11A2 COL9A1 COMT COQ10A CPN1 CPS1 CREB1 CRH CRHBP CRHR1 CRHR2 CRIP2 CRYAA CSF2 CSF2RB CSK CSMD1 CSNK1A1 CSNK1E CTSB CTSS CX3CL1 CXCL5 CXCR3 CXCR4 CYBB CYP19A1 CYP2D6 CYP3A4 DAB1 DAO DBH DBI DICER1 DISC1 DLG2 DLG4 DPCR1 DPP4 DRD1 DRD2 DRD3 DRD4 DRGX DTNBP1 DUSP6 ECE2 EDN1 EDNRA EDNRB EFNB1 EFNB2 EGF EGFR EGR1 EGR3 ENPP2 EPB41L2 EPHB1 EPHB2 EPHB3 EPHB4 EPHB6 EPHX2 ERBB2 ERBB4 EREG ESR1 ESR2 ETV1 EZR F2R F2RL1 F2RL2 FAAH FAM19A4 FGF2 FKBP5 FLOT1 FMR1 FOS FOSB FOSL2 FOXN1 FRMPD4 FSTL1 FYN GABARAPL1 GABBR1 GABBR2 GABRA2 GABRA4 -
The First Case of Congenital Myasthenic Syndrome Caused by A
G C A T T A C G G C A T genes Case Report The First Case of Congenital Myasthenic Syndrome Caused by a Large Homozygous Deletion in the C-Terminal Region of COLQ (Collagen Like Tail Subunit of Asymmetric Acetylcholinesterase) Protein Nicola Laforgia 1 , Lucrezia De Cosmo 1, Orazio Palumbo 2 , Carlotta Ranieri 3, Michela Sesta 4, Donatella Capodiferro 1, Antonino Pantaleo 3 , Pierluigi Iapicca 5 , Patrizia Lastella 6, Manuela Capozza 1 , Federico Schettini 1, Nenad Bukvic 7 , Rosanna Bagnulo 3 and Nicoletta Resta 3,7,* 1 Section of Neonatology and Neonatal Intensive Care Unit, Department of Biomedical Science and Human Oncology (DIMO), University of Bari “Aldo Moro”, 70124 Bari, Italy; [email protected] (N.L.); [email protected] (L.D.C.); [email protected] (D.C.); [email protected] (M.C.); [email protected] (F.S.) 2 Division of Medical Genetics, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy; [email protected] 3 Division of Medical Genetics, Department of Biomedical Sciences and Human Oncology (DIMO), University of Bari “Aldo Moro”, 70124 Bari, Italy; [email protected] (C.R.); [email protected] (A.P.); [email protected] (R.B.) 4 Neurology Unit, University Hospital Consortium Corporation Polyclinic of Bari, 70124 Bari, Italy; [email protected] 5 SOPHiA GENETICS SA HQ, 1025 Saint-Sulpice, Switzerland; [email protected] 6 Rare Diseases Centre—Internal Medicine Unit “C. Frugoni”, Polyclinic of Bari, 70124 Bari, Italy; [email protected] 7 Medical Genetics Section, University Hospital Consortium Corporation Polyclinic of Bari, 70124 Bari, Italy; [email protected] * Correspondence: [email protected]; Tel.: +39-0805593619 Received: 17 November 2020; Accepted: 15 December 2020; Published: 18 December 2020 Abstract: Congenital myasthenic syndromes (CMSs) are caused by mutations in genes that encode proteins involved in the organization, maintenance, function, or modification of the neuromuscular junction. -
Greb1is a Novel Androgen-Regulated Gene Required for Prostate Cancer Growth
The Prostate GREB1is a Novel Androgen-Regulated Gene Required for Prostate Cancer Growth James M. Rae,1* Michael D. Johnson,2 Kevin E. Cordero,1 Joshua O. Scheys,1 Jose´ M. Larios,1 Marco M. Gottardis,3 Kenneth J. Pienta,1 and Marc E. Lippman1 1Division of Hematology Oncology,Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor,Michigan 2Department of Oncology,Georgetown University,Washington, District of Columbia 3Department of Discovery Biology,Bristol^ Myers Squibb Pharmaceutical Research Institute, Princeton, New Jersey BACKGROUND. Gene regulated in breast cancer 1 (GREB1) is a novel estrogen-regulated gene shown to play a pivotal role in hormone-stimulated breast cancer growth. GREB1 is expressed in the prostate and its putative promoter contains potential androgen receptor (AR) response elements. METHODS. We investigated the effects of androgens on GREB1 expression and its role in androgen-dependent prostate cancer growth. RESULTS. Real-time PCR demonstrated high level GREB1 expression in benign prostatic hypertrophy (BPH), localized prostate cancer (L-PCa), and hormone refractory prostate cancer (HR-PCa). Androgen treatment of AR-positive prostate cancer cells induced dose-dependent GREB1 expression, which was blocked by anti-androgens. AR binding to the GREB1 promoter was confirmed by chromatin immunoprecipitation (ChIP) assays. Suppression of GREB1 by RNA interference blocked androgen-stimulated LNCaP cell proliferation. CONCLUSIONS. GREB1 is expressed in proliferating prostatic tissue and prostate -
MLPA Analysis in a Cohort of Patients with Autism Sara Peixoto1,2,3*, Joana B
Peixoto et al. Molecular Cytogenetics (2017) 10:2 DOI 10.1186/s13039-017-0302-z RESEARCH Open Access MLPA analysis in a cohort of patients with autism Sara Peixoto1,2,3*, Joana B. Melo1,4,5, José Ferrão1, Luís M. Pires1, Nuno Lavoura1, Marta Pinto1, Guiomar Oliveira2,6† and Isabel M. Carreira1,4,5*† Abstract Background: Autism is a global neurodevelopmental disorder which generally manifests during the first 2 years and continues throughout life, with a range of symptomatic variations. Epidemiological studies show an important role of genetic factors in autism and several susceptible regions and genes have been identified. The aim of our study was to validate a cost-effective set of commercial Multiplex Ligation dependent Probe Amplification (MLPA) and methylation specific multiplex ligation dependent probe amplification (MS-MLPA) test in autistic children refered by the neurodevelopmental center and autism unit of a Paediatric Hospital. Results: In this study 150 unrelated children with autism spectrum disorders were analysed for copy number variation in specific regions of chromosomes 15, 16 and 22, using MLPA. All the patients had been previously studied by conventional karyotype and fluorescence in situ hybridization (FISH) analysis for 15(q11.2q13) and, with these techniques, four alterations were identified. The MLPA technique confirmed these four and identified further six alterations by the combined application of the two different panels. Conclusions: Our data show that MLPA is a cost effective straightforward and rapid method for detection of imbalances in a clinically characterized population with autism. It contributes to strengthen the relationship between genotype and phenotype of children with autism, showing the clinical difference between deletions and duplications. -
MAGED2: a Novel P53-Dissociator Chris Papageorgio University of Missouri
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2007 MAGED2: A novel p53-dissociator Chris Papageorgio University of Missouri Rainer Brachmann University of California - Irvine Jue Zeng University of California - Irvine Robert Culverhouse Washington University School of Medicine in St. Louis Wanghai Zhang University of North Carolina at Chapel Hill See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Papageorgio, Chris; Brachmann, Rainer; Zeng, Jue; Culverhouse, Robert; Zhang, Wanghai; and McLeod, Howard, ,"MAGED2: A novel p53-dissociator." International Journal of Oncology.31,5. 1205-1211. (2007). https://digitalcommons.wustl.edu/open_access_pubs/2106 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Chris Papageorgio, Rainer Brachmann, Jue Zeng, Robert Culverhouse, Wanghai Zhang, and Howard McLeod This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/2106 1205-1211 3/10/07 16:52 Page 1205 INTERNATIONAL JOURNAL OF ONCOLOGY 31: 1205-1211, 2007 MAGED2: A novel p53-dissociator CHRIS PAPAGEORGIO1, RAINER BRACHMANN2, JUE ZENG2, ROBERT CULVERHOUSE3, WANGHAI ZHANG4 and HOWARD McLEOD5 1115 Business Loop 70 West, DC 1116.71, -
Clinical/Scientific Notes
Clinical/Scientific Notes Wei Wang, MD COPY NUMBER ANALYSIS REVEALS A NOVEL decrement without facilitation. Biceps muscle Yanhong Wu, PhD MULTIEXON DELETION OF THE COLQ GENE IN biopsy was without vacuoles, dystrophic changes, Chen Wang, PhD CONGENITAL MYASTHENIA or tubular aggregates. Sanger sequencing for Jinsong Jiao, MD GFPT1, DOK-7,andCOLQ showed only a hetero- 1 / Christopher J. Klein, MD Congenital myasthenic syndrome (CMS) is geneti- zygous variant (IVS16 3A G) in the COLQ cally and clinically heterogeneous.1 Despite a consid- gene, a previously reported mutation but only dele- Neurol Genet terious in homozygous state.4 This variant was in- 2016;2:e117; doi: 10.1212/ erable number of causal genes discovered, many NXG.0000000000000117 patients are left without a specific diagnosis after herited from her father. No genetic diagnosis could genetic testing. The presumption is that novel genes be made at that time (figure). yet to be discovered will account for the majority of We recently developed a targeted NGS panel such patients. However, it is also possible that we are including 21 known CMS genes and applied it to this neglecting a type of genetic variation: copy number patient. Because a copy number variation (CNV) anal- changes (.50 bp) as causal for some of these patients. ysis algorithm (PatternCNV) is incorporated in the bi- Next-generation sequencing (NGS) can simulta- oinformatics evaluation, this panel has a capability of neously screen all known causal genes2 and is increas- detecting nucleotide changes, small insertion/deletions, 3 ingly being validated to have a potential to identify and CNVs. The result from this panel confirmed the 1 / copy number changes.3 We present a CMS case who IVS16 3A G variant and identified a heterozygous did not receive a genetic diagnosis from previous copy number deletion encompassing exons 14 and 15 ; – Sanger sequencing, but through a novel copy number of the COLQ gene ( 1 kb) (figure, A C). -
1 Characterizing the Role of GREB1 in Regulation of Breast Cancer
Characterizing the role of GREB1 in regulation of breast cancer proliferation Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Corinne Nicole Haines Graduate Program in Molecular, Cellular, and Developmental Biology The Ohio State University 2019 Thesis Committee Craig J. Burd PhD., Advisor Sharon L. Amacher, PhD. Anne M. Strohecker, PhD. Philip N. Tsichlis, PhD. 1 Copyrighted by Corinne Nicole Haines 2019 2 Abstract Breast cancer is the most frequently diagnosed malignancy in women. The vast majority (>70%) of breast cancer patients are diagnosed with the estrogen receptor-positive subtype. These cancers express the transcription factor estrogen receptor α (ER) and depend on its activation and subsequent regulation of estrogen-responsive genes for survival and proliferation. Patients diagnosed with ER-positive breast cancer are typically given endocrine therapies that target the activity of the ER. Although endocrine therapies are initially effective, patients invariably develop resistance to currently available treatments, underscoring the need to better characterize the mechanism by which ER-target genes drive proliferation in order to develop new and innovative therapies. One gene target of ER, growth regulation by estrogen in breast cancer 1 (GREB1), is associated with proliferation of ER-positive breast cancer cells. The GREB1 gene encodes three distinct protein isoforms: GREB1a, GREB1b, and GREB1c. Unfortunately, few studies have investigated the mechanism by which GREB1 regulates proliferation and no studies have investigated the isoform specific molecular functions of GREB1. Here, I investigate the role of the GREB1 isoforms in modulation of ER activity and proliferation. -
Activation of Estrogen-Responsive Genes Does Not Require Their Nuclear Co-Localization
Activation of Estrogen-Responsive Genes Does Not Require Their Nuclear Co-Localization Silvia Kocanova1,2., Elizabeth A. Kerr3,4., Sehrish Rafique4, Shelagh Boyle4, Elad Katz3, Stephanie Caze-Subra1,2, Wendy A. Bickmore4*, Kerstin Bystricky1,2* 1 Laboratoire de Biologie Mole´culaire Eucaryote, Universite´ de Toulouse - UPS, Toulouse, France, 2 LBME, CNRS, Toulouse, France, 3 The Breakthrough Breast Cancer Research Unit, Edinburgh, United Kingdom, 4 Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom Abstract The spatial organization of the genome in the nucleus plays a role in the regulation of gene expression. Whether co- regulated genes are subject to coordinated repositioning to a shared nuclear space is a matter of considerable interest and debate. We investigated the nuclear organization of estrogen receptor alpha (ERa) target genes in human breast epithelial and cancer cell lines, before and after transcriptional activation induced with estradiol. We find that, contrary to another report, the ERa target genes TFF1 and GREB1 are distributed in the nucleoplasm with no particular relationship to each other. The nuclear separation between these genes, as well as between the ERa target genes PGR and CTSD, was unchanged by hormone addition and transcriptional activation with no evidence for co-localization between alleles. Similarly, while the volume occupied by the chromosomes increased, the relative nuclear position of the respective chromosome territories was unaffected by hormone addition. Our results demonstrate that estradiol-induced ERa target genes are not required to co- localize in the nucleus. Citation: Kocanova S, Kerr EA, Rafique S, Boyle S, Katz E, et al.