Sex-Specific Differences in Expression of Histone Demethylases Utx and Uty in Mouse Brain and Neurons
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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. -
Contiguous Deletion of the NDP, MAOA, MAOB, and EFHC2 Genes in a Patient with Norrie Disease, Severe Psychomotor Retardation and Myoclonic Epilepsy
ß 2007 Wiley-Liss, Inc. American Journal of Medical Genetics Part A 143A:916–920 (2007) Contiguous Deletion of the NDP, MAOA, MAOB, and EFHC2 Genes in a Patient With Norrie Disease, Severe Psychomotor Retardation and Myoclonic Epilepsy L. Rodriguez-Revenga,1,2 I. Madrigal,1,2 L.S. Alkhalidi,3 L. Armengol,4 E. Gonza´lez,4 C. Badenas,1,2 X. Estivill,1,5 and M. Mila`1,2* 1Biochemistry and Molecular Genetics Department, Hospital Clı´nic, Barcelona, Spain 2IDIBAPS (Institut d’Investigacions Biome`diques August Pi i Sunyer), Barcelona, Spain 3Department of Health and Medical Services, Rashid Hospital, Dubai, United Arab Emirates 4Genes and Disease Programme, Centre for Genomic Regulation (CRG), Barcelona Biomedical Research Park, Barcelona, Spain 5Department of Experimental and Health Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain Received 20 February 2006; Accepted 7 September 2006 Norrie disease (ND) is an X-linked disorder, inherited as a Clinical features of the proband include bilateral retinal recessive trait that, therefore, mostly affects males. The gene detachment, microcephaly, severe psychomotor retardation responsible for ND, called NDP, maps to the short arm of without verbal language skills acquired, and epilepsy. The chromosome X (Xp11.4-p11.3). We report here an atypical identification and molecular characterization of this case case of ND, consisting of a patient harboring a large reinforces the idea of a new contiguous gene syndrome that submicroscopic deletion affecting not only the NDP gene would explain the complex phenotype shared by atypical but also the MAOA, MAOB, and EFHC2 genes. Microarray ND patients. ß 2007 Wiley-Liss, Inc. -
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. -
Protein Localization Screening in Vivo Reveals Novel Regulators of Multiciliated Cell Development and Function Fan Tu1, Jakub Sedzinski1,2, Yun Ma1,3, Edward M
© 2018. Published by The Company of Biologists Ltd | Journal of Cell Science (2018) 131, jcs206565. doi:10.1242/jcs.206565 SHORT REPORT Protein localization screening in vivo reveals novel regulators of multiciliated cell development and function Fan Tu1, Jakub Sedzinski1,2, Yun Ma1,3, Edward M. Marcotte1 and John B. Wallingford1,* ABSTRACT RESULTS AND DISCUSSION Multiciliated cells (MCCs) drive fluid flow in diverse tubular organs High-content screening of protein localization in MCCs in vivo and are essential for the development and homeostasis of the vertebrate central nervous system, airway and reproductive tracts. High-content screening of protein localization is a powerful These cells are characterized by dozens or hundreds of motile cilia approach for linking genomics to cell biology (Boutros et al., Xenopus that beat in a coordinated and polarized manner. In recent years, 2015), so we turned to embryos, where the epidermis genomic studies have not only elucidated the transcriptional develops as a mix of MCCs and mucus-secreting cells similar to in hierarchy for MCC specification but also identified myriad new the mammalian airway (Hayes et al., 2007; Walentek and Quigley, proteins that govern MCC ciliogenesis, cilia beating and cilia 2017; Werner and Mitchell, 2011). Molecular mechanisms of MCC Xenopus polarization. Interestingly, this burst of genomic data has also development and function are highly conserved between highlighted that proteins with no obvious role in cilia do, in fact, have and mammals, including humans (e.g. Boon et al., 2014; Toriyama important ciliary functions. Understanding the function of proteins et al., 2016; Wallmeier et al., 2014, 2016; Zariwala et al., 2013), and Xenopus with little prior history of study presents a special challenge, MCCs are very large and present on the external surface of especially when faced with large numbers of such proteins. -
Genome-Wide Meta-Analysis Identifies 127 Open-Angle Glaucoma Loci with Consistent Effect Across Ancestries
UC San Diego UC San Diego Previously Published Works Title Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries. Permalink https://escholarship.org/uc/item/6fn1m7tr Journal Nature communications, 12(1) ISSN 2041-1723 Authors Gharahkhani, Puya Jorgenson, Eric Hysi, Pirro et al. Publication Date 2021-02-24 DOI 10.1038/s41467-020-20851-4 Peer reviewed eScholarship.org Powered by the California Digital Library University of California ARTICLE https://doi.org/10.1038/s41467-020-20851-4 OPEN Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries ✉ Puya Gharahkhani 1,190 , Eric Jorgenson 2,190, Pirro Hysi 3,190, Anthony P. Khawaja 4,5,190, Sarah Pendergrass6,190, Xikun Han 1, Jue Sheng Ong 1, Alex W. Hewitt 7,8, Ayellet V. Segrè9, John M. Rouhana 9, Andrew R. Hamel9, Robert P. Igo Jr 10, Helene Choquet 2, Ayub Qassim11, Navya S. Josyula 12, Jessica N. Cooke Bailey 10,13, Pieter W. M. Bonnemaijer 14,15,16, Adriana Iglesias 14,15,17, Owen M. Siggs 11, Terri L. Young 18, Veronique Vitart 19, 1234567890():,; Alberta A. H. J. Thiadens 14,15, Juha Karjalainen20,21,22, Steffen Uebe23, Ronald B. Melles24, K. Saidas Nair25, Robert Luben 5, Mark Simcoe 3,26,27, Nishani Amersinghe28, Angela J. Cree 29, Rene Hohn30,31, Alicia Poplawski 32, Li Jia Chen33, Shi-Song Rong 9,33, Tin Aung34,35,36, Eranga Nishanthie Vithana 34,37, NEIGHBORHOOD consortium*, ANZRAG consortium*, Biobank Japan project*, FinnGen study*, UK Biobank Eye and Vision Consortium*, GIGA study group*, 23 and Me Research Team*, Gen Tamiya38,39, Yukihiro Shiga40, Masayuki Yamamoto 38, Toru Nakazawa40,41,42,43, Hannah Currant 44, Ewan Birney 44, Xin Wang 45, Adam Auton45, Michelle K. -
UTY (NM 001258249) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RG235303 UTY (NM_001258249) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: UTY (NM_001258249) Human Tagged ORF Clone Tag: TurboGFP Symbol: UTY Synonyms: KDM6AL; KDM6C; UTY1 Vector: pCMV6-AC-GFP (PS100010) E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: Neomycin ORF Nucleotide >RG235303 representing NM_001258249 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGAAATCCTGCGCAGTGTCGCTCACTACCGCCGCTGTTGCCTTCGGTGATGAGGCAAAGAAAATGGCGG AAGGAAAAGCGAGCCGCGAGAGTGAAGAGGAGTCTGTTAGCCTGACAGTCGAGGAAAGGGAGGCGCTTGG TGGCATGGACAGCCGTCTCTTCGGGTTCGTGAGGCTTCATGAAGATGGCGCCAGAACGAAGACCCTACTA GGCAAGGCTGTTCGCTGCTACGAATCTTTAATCTTAAAAGCTGAAGGAAAAGTGGAGTCTGACTTCTTTT GCCAATTAGGTCACTTCAACCTCTTGTTGGAAGATTATTCAAAAGCATTATCTGCATATCAGAGATATTA CAGTTTACAGGCTGACTACTGGAAGAATGCTGCGTTTTTATATGGCCTTGGTTTGGTCTACTTCTACTAC AATGCATTTCATTGGGCAATTAAAGCATTTCAAGATGTCCTTTATGTTGACCCCAGCTTTTGTCGAGCCA AGGAAATTCATTTACGACTTGGGCTCATGTTCAAAGTGAACACAGACTACAAGTCTAGTTTAAAGCATTT TCAGTTAGCCTTGATTGACTGTAATCCATGTACTTTGTCCAATGCTGAAATTCAATTTCATATTGCCCAT TTGTATGAAACCCAGAGGAAGTATCATTCTGCAAAGGAGGCATATGAACAACTTTTGCAGACAGAAAACC TTCCTGCACAAGTAAAAGCAACTGTATTGCAACAGTTAGGTTGGATGCATCATAATATGGATCTAGTAGG AGACAAAGCCACAAAGGAAAGCTATGCTATTCAGTATCTCCAAAAGTCTTTGGAGGCAGATCCTAATTCT GGCCAATCGTGGTATTTTCTTGGAAGGTGTTATTCAAGTATTGGGAAAGTTCAGGATGCCTTTATATCTT -
Prenatal Sex Differences in the Human Brain
Molecular Psychiatry (2009) 14, 988–991 & 2009 Nature Publishing Group All rights reserved 1359-4184/09 $32.00 www.nature.com/mp LETTERS TO THE EDITOR Prenatal sex differences in the human brain Molecular Psychiatry (2009) 14, 988–989. doi:10.1038/ development. These genes are not only expressed in mp.2009.79 the brain before birth but some of them are also known to have sex differences in adult brain,1,4 whereas others are expressed during infancy, but The presence of genetic sex differences in the adult reduced later on during their lifetime.5 human brain is now recognized.1 We hypothesized Intriguingly, SRY, a well-known determinant of that the basis of this sex bias is already established in testicle development during midgestation,6 showed the brain before birth. Here, we show that several no evidence of expression in any of the brain regions genes encoded in the Y-chromosome are expressed in analyzed (Figure 1b, and Supplementary Figure 1), many regions of the male prenatal brain, likely having suggesting that the main somatic sex determinants functional consequences for sex bias during human may be different for the brain and gonads during brain development. human gestation. The marked sex differences in age at onset, In humans, all 11 genes described here are encoded prevalence and symptoms for numerous neuropsy- in the male-specific region of the Y-chromosome,7 chiatric disorders2 indicate the importance to study with RPS4Y1 and ZFY located in the p-arm very close the emergence of a sex bias during human brain to SRY and most of the remaining genes located in the development. -
Quantitative Analysis of Y-Chromosome Gene Expression Across 36 Human Tissues 6 7 8 9 Alexander K
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press 1 2 3 4 5 Quantitative analysis of Y-Chromosome gene expression across 36 human tissues 6 7 8 9 Alexander K. Godfrey1,2, Sahin Naqvi1,2, Lukáš Chmátal1, Joel M. Chick3, 10 Richard N. Mitchell4, Steven P. Gygi3, Helen Skaletsky1,5, David C. Page1,2,5* 11 12 13 1 Whitehead Institute, Cambridge, MA, USA 14 2 Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA 15 3 Department of Cell Biology, Harvard Medical School, Boston, MA, USA 16 4 Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA 17 5 Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA, USA 18 19 20 21 *corresponding author: 22 Email: [email protected] 23 24 25 Running title: 26 Human Y-Chromosome gene expression in 36 tissues 27 28 29 Keywords: 30 Y Chromosome, sex chromosomes, sex differences, EIF1AY, EIF1AX 31 Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press 32 ABSTRACT 33 Little is known about how human Y-Chromosome gene expression directly contributes to 34 differences between XX (female) and XY (male) individuals in non-reproductive tissues. Here, 35 we analyzed quantitative profiles of Y-Chromosome gene expression across 36 human tissues 36 from hundreds of individuals. Although it is often said that Y-Chromosome genes are lowly 37 expressed outside the testis, we report many instances of elevated Y-Chromosome gene 38 expression in a non-reproductive tissue. -
Product Description SALSA MLPA Probemix P360-B2 Y-Chromosome
MRC-Holland ® Product Description version B2-01; Issued 20 March 2019 MLPA Product Description SALSA ® MLPA ® Probemix P360-B2 Y-Chromosome Microdeletions To be used with the MLPA General Protocol. Version B2. As compared to version B1, one probe length has been adjusted . For complete product history see page 14. Catalogue numbers: • P360-025R: SALSA MLPA Probemix P360 Y-Chromosome Microdeletions, 25 reactions. • P360-050R: SALSA MLPA Probemix P360 Y-Chromosome Microdeletions, 50 reactions. • P360-100R: SALSA MLPA Probemix P360 Y-Chromosome Microdeletions, 100 reactions. To be used in combination with a SALSA MLPA reagent kit, available for various number of reactions. MLPA reagent kits are either provided with FAM or Cy5.0 dye-labelled PCR primer, suitable for Applied Biosystems and Beckman capillary sequencers, respectively (see www.mlpa.com ). This SALSA MLPA probemix is for basic research and intended for experienced MLPA users only! This probemix is intended to quantify genes or chromosomal regions in which the occurrence of copy number changes is not yet well-established and the relationship between genotype and phenotype is not yet clear. Interpretation of results can be complicated. MRC-Holland recommends thoroughly screening any available literature. Certificate of Analysis: Information regarding storage conditions, quality tests, and a sample electropherogram from the current sales lot is available at www.mlpa.com . Precautions and warnings: For professional use only. Always consult the most recent product description AND the MLPA General Protocol before use: www.mlpa.com . It is the responsibility of the user to be aware of the latest scientific knowledge of the application before drawing any conclusions from findings generated with this product. -
X- and Y-Linked Chromatin-Modifying Genes As Regulators of Sex-Specific Cancer Incidence and Prognosis
Author Manuscript Published OnlineFirst on July 30, 2020; DOI: 10.1158/1078-0432.CCR-20-1741 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. X- and Y-linked chromatin-modifying genes as regulators of sex- specific cancer incidence and prognosis Rossella Tricarico1,2,*, Emmanuelle Nicolas1, Michael J. Hall 3, and Erica A. Golemis1,* 1Molecular Therapeutics Program, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA; 2Department of Biology and Biotechnology, University of Pavia, 27100 Pavia, Italy; 3Cancer Prevention and Control Program, Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, 19111, USA Running title: Allosomally linked epigenetic regulators in cancer Conflict Statement: The authors declare no conflict of interest. Funding: The authors are supported by NIH DK108195 and CA228187 (to EAG), by NCI Core Grant CA006927 (to Fox Chase Cancer Center), and by a Marie Curie Individual Fellowship from the Horizon 2020 EU Program (to RT). * Correspondence should be directed to: Erica A. Golemis Fox Chase Cancer Center 333 Cottman Ave. Philadelphia, PA 19111 USA [email protected] (215) 728-2860 or Rossella Tricarico Department of Biology and Biotechnology University of Pavia Via Ferrata 9, 27100 Pavia, Italy [email protected] +39 340-2429631 1 Downloaded from clincancerres.aacrjournals.org on September 25, 2021. © 2020 American Association for Cancer Research. Author Manuscript Published OnlineFirst on July 30, 2020; DOI: 10.1158/1078-0432.CCR-20-1741 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Abstract Biological sex profoundly conditions organismal development and physiology, imposing wide-ranging effects on cell signaling, metabolism, and immune response. -
Original Article Identification of Differentially Expressed Genes Between Male and Female Patients with Acute Myocardial Infarction Based on Microarray Data
Int J Clin Exp Med 2019;12(3):2456-2467 www.ijcem.com /ISSN:1940-5901/IJCEM0080626 Original Article Identification of differentially expressed genes between male and female patients with acute myocardial infarction based on microarray data Huaqiang Zhou1,2*, Kaibin Yang2*, Shaowei Gao1, Yuanzhe Zhang2, Xiaoyue Wei2, Zeting Qiu1, Si Li2, Qinchang Chen2, Yiyan Song2, Wulin Tan1#, Zhongxing Wang1# 1Department of Anesthesiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China; 2Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China. *Equal contributors and co-first au- thors. #Equal contributors. Received May 31, 2018; Accepted August 4, 2018; Epub March 15, 2019; Published March 30, 2019 Abstract: Background: Coronary artery disease has been the most common cause of death and the prognosis still needs further improving. Differences in the incidence and prognosis of male and female patients with coronary artery disease have been observed. We constructed this study hoping to understand those differences at the level of gene expression and to help establish gender-specific therapies. Methods: We downloaded the series matrix file of GSE34198 from the Gene Expression Omnibus database and identified differentially expressed genes between male and female patients. Gene ontology, Kyoto Encyclopedia of Genes and Genomes pathway enrichment analy- sis, and GSEA analysis of differentially expressed genes were performed. The protein-protein interaction network was constructed of the differentially expressed genes and the hub genes were identified. Results: A total of 215 up-regulated genes and 353 down-regulated genes were identified. The differentially expressed pathways were mainly related to the function of ribosomes, virus, and related immune response as well as the cell growth and proliferation. -
Computational Analysis of High Risk Missense Variant in Human UTY Gene: a Candidate Gene of Azfa Sub-Region
Original Article Computational Analysis of High Risk Missense Variant in Human UTY Gene: A Candidate Gene of AZFa Sub-region Mili Nailwal, Jenabhai Bhathibhai Chauhan * - P.G. Department of Genetics, Ashok & Rita Patel Institute of Integrated Study & Research in Biotechnology and Allied Sciences (ARIBAS), Gujarat, India Abstract Background: The human Ubiquitously transcribed tetratricopeptide repeat gene, Y- linked (UTY) gene encodes histone demethylase involved in protein-protein interac- tions. UTY protein evidence at protein level predicted intracellular and secreted pro- tein. UTY is also involved in spermatogenesis process. Methods: The high-risk non-synonymous single nucleotide polymorphism in the coding region of the UTY gene was screened by SNP database and identified mis- sense variants were subjected to computational analysis to understand the effect on protein function, stability and structure by SIFT, PolyPhen 2, PANTHER, PROVEAN, I-Mutant 2, iPTREE-STAB, ConSurf, ModPred, SPARKS-X, QMEAN, PROCHECK, project HOPE and STRING. * Corresponding Author: Jenabhai B. Chauhan, Results: A total of 151 nsSNPs variants were retrieved in UTY gene out of which Department of Genetics, one missense variant (E18D) was predicted to be damaging or deleterious using Ashok & Rita Patel SIFT, PolyPhen 2, PANTHER and PROVEAN. Additionally, E18D variant showed Institute of Integrated less stability, high conservation and having role in post translation modification us- Study & Research in Biotechnology and Allied ing i-Mutant 2 and iPTREE-STAB, ConSurf and ModPred, respectively. The pre- Sciences (ARIBAS), New dicted 3D model of UTY using SPARKS-X with z-score of 15.16 was generated and Vallabh Vidyanagar- validated via QMEAN (Z-score of 0.472) and PROCHECK which plots Ramacha- 388121, Dist-Anand, ndran plot (85.3% residues in most favored regions, 12.3% in additionally allowed Gujarat, India regions, 2.0% in generously allowed regions and 4.0% were in disallowed regions) E-mail: jenabhaichauhan@aribas.