Gene Expression Analysis of Cultured Amniotic Fluid Cell with Down Syndrome by DNA Microarray
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
The 50Th Anniversary of the Discovery of Trisomy 21: the Past, Present, and Future of Research and Treatment of Down Syndrome
REVIEW The 50th anniversary of the discovery of trisomy 21: The past, present, and future of research and treatment of Down syndrome Andre´Me´garbane´, MD, PhD1,2, Aime´ Ravel, MD1, Clotilde Mircher, MD1, Franck Sturtz, MD, PhD1,3, Yann Grattau, MD1, Marie-Odile Rethore´, MD1, Jean-Maurice Delabar, PhD4, and William C. Mobley, MD, PhD5 Abstract: Trisomy 21 or Down syndrome is a chromosomal disorder HISTORICAL REVIEW resulting from the presence of all or part of an extra Chromosome 21. Clinical description It is a common birth defect, the most frequent and most recognizable By examining artifacts from the Tumaco-La Tolita culture, form of mental retardation, appearing in about 1 of every 700 newborns. which existed on the border between current Colombia and Although the syndrome had been described thousands of years before, Ecuador approximately 2500 years ago, Bernal and Briceno2 it was named after John Langdon Down who reported its clinical suspected that certain figurines depicted individuals with Tri- description in 1866. The suspected association of Down syndrome with somy 21, making these potteries the earliest evidence for the a chromosomal abnormality was confirmed by Lejeune et al. in 1959. existence of the syndrome. Martinez-Frias3 identified the syn- Fifty years after the discovery of the origin of Down syndrome, the term drome in a terra-cotta head from the Tolteca culture of Mexico “mongolism” is still inappropriately used; persons with Down syn- in 500 patients with AD in which the facial features of Trisomy drome are still institutionalized. Health problems associated with that 21 are clearly displayed. -
(SUMO) Substrates Identify Arabidopsis Proteins Implicated in Diverse Biological Processes
Proteome-wide screens for small ubiquitin-like modifier (SUMO) substrates identify Arabidopsis proteins implicated in diverse biological processes Nabil Elrouby1 and George Coupland1 Max Planck Institute for Plant Breeding Research, Carl-von-Linne Weg 10, Cologne 50829, Germany Edited by Mark Estelle, University of California at San Diego, La Jolla, CA, and approved August 17, 2010 (received for review April 21, 2010) Covalent modification of proteins by small ubiquitin-like modifier the substrate and the C-terminal glycine residue of SUMO (14, (SUMO) regulates various cellular activities in yeast and mamma- 16). In Arabidopsis, SCE and SAE2 are encoded by single genes, lian cells. In Arabidopsis, inactivation of genes encoding SUMO or whereas SAE1 is encoded by two genes (SAE1a and SAE1b) (17). SUMO-conjugation enzymes is lethal, emphasizing the importance In plants and mammals, SUMO, SUMO ligases, and SUMO of SUMOylation in plant development. Despite this, little is known proteases are encoded by multigene families (15, 17). Different about SUMO targets in plants. Here we identified 238 Arabidopsis SUMO isoforms are conjugated to specific substrates, and this is proteins as potential SUMO substrates because they interacted regulated by specific ligases and proteases. Whereas SUMO with SUMO-conjugating enzyme and/or SUMO protease (ESD4) in ligases aid in the conjugation reaction, SUMO proteases cleave the yeast two-hybrid system. Compared with the whole Arabidop- SUMO from substrates (deconjugation) and cleave a C-terminal sis proteome, the identified proteins were strongly enriched for extension in precursor SUMO proteins to expose a glycine resi- those containing high-probability consensus SUMO attachment due (processing) that can be conjugated to the substrate protein sites, further supporting that they are true SUMO substrates. -
Quantitative SUMO Proteomics Reveals the Modulation of Several
www.nature.com/scientificreports OPEN Quantitative SUMO proteomics reveals the modulation of several PML nuclear body associated Received: 10 October 2017 Accepted: 28 March 2018 proteins and an anti-senescence Published: xx xx xxxx function of UBC9 Francis P. McManus1, Véronique Bourdeau2, Mariana Acevedo2, Stéphane Lopes-Paciencia2, Lian Mignacca2, Frédéric Lamoliatte1,3, John W. Rojas Pino2, Gerardo Ferbeyre2 & Pierre Thibault1,3 Several regulators of SUMOylation have been previously linked to senescence but most targets of this modifcation in senescent cells remain unidentifed. Using a two-step purifcation of a modifed SUMO3, we profled the SUMO proteome of senescent cells in a site-specifc manner. We identifed 25 SUMO sites on 23 proteins that were signifcantly regulated during senescence. Of note, most of these proteins were PML nuclear body (PML-NB) associated, which correlates with the increased number and size of PML-NBs observed in senescent cells. Interestingly, the sole SUMO E2 enzyme, UBC9, was more SUMOylated during senescence on its Lys-49. Functional studies of a UBC9 mutant at Lys-49 showed a decreased association to PML-NBs and the loss of UBC9’s ability to delay senescence. We thus propose both pro- and anti-senescence functions of protein SUMOylation. Many cellular mechanisms of defense have evolved to reduce the onset of tumors and potential cancer develop- ment. One such mechanism is cellular senescence where cells undergo cell cycle arrest in response to various stressors1,2. Multiple triggers for the onset of senescence have been documented. While replicative senescence is primarily caused in response to telomere shortening3,4, senescence can also be triggered early by a number of exogenous factors including DNA damage, elevated levels of reactive oxygen species (ROS), high cytokine signa- ling, and constitutively-active oncogenes (such as H-RAS-G12V)5,6. -
Misregulation of ELK1, AP1, and E12 Transcription Factor Networks Is Associated with Melanoma Progression
cancers Article Misregulation of ELK1, AP1, and E12 Transcription Factor Networks Is Associated with Melanoma Progression Komudi Singh 1, Michelle Baird 2, Robert Fischer 2, Vijender Chaitankar 1, Fayaz Seifuddin 1, Yun-Ching Chen 1, Ilker Tunc 1, Clare M. Waterman 2 and Mehdi Pirooznia 1,* 1 Bioinformatics and Computational Biology Laboratory, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; [email protected] (K.S.); [email protected] (V.C.); [email protected] (F.S.); [email protected] (Y.-C.C.); [email protected] (I.T.) 2 Cell and Developmental Biology Center, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA; [email protected] (M.B.); fi[email protected] (R.F.); [email protected] (C.M.W.) * Correspondence: [email protected] Received: 6 January 2020; Accepted: 12 February 2020; Published: 17 February 2020 Abstract: Melanoma is among the most malignant cutaneous cancers and when metastasized results in dramatically high mortality. Despite advances in high-throughput gene expression profiling in cancer transcriptomic studies, our understanding of mechanisms driving melanoma progression is still limited. We present here an in-depth bioinformatic analysis of the melanoma RNAseq, chromatin immunoprecipitation (ChIP)seq, and single-cell (sc)RNA seq data to understand cancer progression. Specifically, we have performed a consensus network analysis of RNA-seq data from clinically re-grouped melanoma samples to identify gene co-expression networks that are conserved in early (stage 1) and late (stage 4/invasive) stage melanoma. Overlaying the fold-change information on co-expression networks revealed several coordinately up or down-regulated subnetworks that may play a critical role in melanoma progression. -
The Genetics of Bipolar Disorder
Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF. -
The Genetic Architecture of Down Syndrome Phenotypes Revealed by High-Resolution Analysis of Human Segmental Trisomies
The genetic architecture of Down syndrome phenotypes revealed by high-resolution analysis of human segmental trisomies Jan O. Korbela,b,c,1, Tal Tirosh-Wagnerd,1, Alexander Eckehart Urbane,f,1, Xiao-Ning Chend, Maya Kasowskie, Li Daid, Fabian Grubertf, Chandra Erdmang, Michael C. Gaod, Ken Langeh,i, Eric M. Sobelh, Gillian M. Barlowd, Arthur S. Aylsworthj,k, Nancy J. Carpenterl, Robin Dawn Clarkm, Monika Y. Cohenn, Eric Dorano, Tzipora Falik-Zaccaip, Susan O. Lewinq, Ira T. Lotto, Barbara C. McGillivrayr, John B. Moeschlers, Mark J. Pettenatit, Siegfried M. Pueschelu, Kathleen W. Raoj,k,v, Lisa G. Shafferw, Mordechai Shohatx, Alexander J. Van Ripery, Dorothy Warburtonz,aa, Sherman Weissmanf, Mark B. Gersteina, Michael Snydera,e,2, and Julie R. Korenbergd,h,bb,2 Departments of aMolecular Biophysics and Biochemistry, eMolecular, Cellular, and Developmental Biology, and fGenetics, Yale University School of Medicine, New Haven, CT 06520; bEuropean Molecular Biology Laboratory, 69117 Heidelberg, Germany; cEuropean Molecular Biology Laboratory (EMBL) Outstation Hinxton, EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom; dMedical Genetics Institute, Cedars–Sinai Medical Center, Los Angeles, CA 90048; gDepartment of Statistics, Yale University, New Haven, CT 06520; Departments of hHuman Genetics, and iBiomathematics, University of California, Los Angeles, CA 90095; Departments of jPediatrics and kGenetics, University of North Carolina, Chapel Hill, NC 27599; lCenter for Genetic Testing, -
WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Chromosome 21 Leading Edge Gene Set
Chromosome 21 Leading Edge Gene Set Genes from chr21q22 that are part of the GSEA leading edge set identifying differences between trisomic and euploid samples. Multiple probe set IDs corresponding to a single gene symbol are combined as part of the GSEA analysis. Gene Symbol Probe Set IDs Gene Title 203865_s_at, 207999_s_at, 209979_at, adenosine deaminase, RNA-specific, B1 ADARB1 234539_at, 234799_at (RED1 homolog rat) UDP-Gal:betaGlcNAc beta 1,3- B3GALT5 206947_at galactosyltransferase, polypeptide 5 BACE2 217867_x_at, 222446_s_at beta-site APP-cleaving enzyme 2 1553227_s_at, 214820_at, 219280_at, 225446_at, 231860_at, 231960_at, bromodomain and WD repeat domain BRWD1 244622_at containing 1 C21orf121 240809_at chromosome 21 open reading frame 121 C21orf130 240068_at chromosome 21 open reading frame 130 C21orf22 1560881_a_at chromosome 21 open reading frame 22 C21orf29 1552570_at, 1555048_at_at, 1555049_at chromosome 21 open reading frame 29 C21orf33 202217_at, 210667_s_at chromosome 21 open reading frame 33 C21orf45 219004_s_at, 228597_at, 229671_s_at chromosome 21 open reading frame 45 C21orf51 1554430_at, 1554432_x_at, 228239_at chromosome 21 open reading frame 51 C21orf56 223360_at chromosome 21 open reading frame 56 C21orf59 218123_at, 244369_at chromosome 21 open reading frame 59 C21orf66 1555125_at, 218515_at, 221158_at chromosome 21 open reading frame 66 C21orf7 221211_s_at chromosome 21 open reading frame 7 C21orf77 220826_at chromosome 21 open reading frame 77 C21orf84 239968_at, 240589_at chromosome 21 open reading frame 84 -
Orphanet Journal of Rare Diseases Biomed Central
Orphanet Journal of Rare Diseases BioMed Central Review Open Access Holoprosencephaly Christèle Dubourg*1,2, Claude Bendavid1,2, Laurent Pasquier3, Catherine Henry4, Sylvie Odent3 and Véronique David*1,2 Address: 1UMR 6061 CNRS, Institut de Génétique et Développement de Rennes, Université de Rennes1, IFR 140 GFAS, Faculté de Médecine, Rennes, 35000, France, 2Laboratoire de Génétique Moléculaire et Hormonologie, Centre Hospitalier et Universitaire de Pontchaillou, Rennes, 35000, France, 3Service de Génétique Médicale, Hôpital Sud, Rennes, 35000, France and 4Laboratoire de Cytogénétique, Centre Hospitalier et Universitaire de Pontchaillou, Rennes, 35000, France Email: Christèle Dubourg* - [email protected]; Claude Bendavid - [email protected]; Laurent Pasquier - [email protected]; Catherine Henry - [email protected]; Sylvie Odent - sylvie.odent@chu- rennes.fr; Véronique David* - [email protected] * Corresponding authors Published: 2 February 2007 Received: 1 September 2006 Accepted: 2 February 2007 Orphanet Journal of Rare Diseases 2007, 2:8 doi:10.1186/1750-1172-2-8 This article is available from: http://www.OJRD.com/content/2/1/8 © 2007 Dubourg et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Holoprosencephaly (HPE) is a complex brain malformation resulting from incomplete cleavage of the prosencephalon, occurring between the 18th and the 28th day of gestation and affecting both the forebrain and the face. It is estimated to occur in 1/16,000 live births and 1/250 conceptuses. -
Ohnologs in the Human Genome Are Dosage Balanced and Frequently Associated with Disease
Ohnologs in the human genome are dosage balanced and frequently associated with disease Takashi Makino1 and Aoife McLysaght2 Smurfit Institute of Genetics, University of Dublin, Trinity College, Dublin 2, Ireland Edited by Michael Freeling, University of California, Berkeley, CA, and approved April 9, 2010 (received for review December 21, 2009) About 30% of protein-coding genes in the human genome are been duplicated by WGD, subsequent loss of individual genes related through two whole genome duplication (WGD) events. would result in a dosage imbalance due to insufficient gene Although WGD is often credited with great evolutionary impor- product, thus leading to biased retention of dosage-balanced tance, the processes governing the retention of these genes and ohnologs. In fact, evidence for preferential retention of dosage- their biological significance remain unclear. One increasingly pop- balanced genes after WGD is accumulating (4, 7, 11–20). Copy ular hypothesis is that dosage balance constraints are a major number variation [copy number polymorphism (CNV)] describes determinant of duplicate gene retention. We test this hypothesis population level polymorphism of small segmental duplications and show that WGD-duplicated genes (ohnologs) have rarely and is known to directly correlate with gene expression levels (21– experienced subsequent small-scale duplication (SSD) and are also 24). Thus, CNV of dosage-balanced genes is also expected to be refractory to copy number variation (CNV) in human populations deleterious. This model predicts that retained ohnologs should be and are thus likely to be sensitive to relative quantities (i.e., they are enriched for dosage-balanced genes that are resistant to sub- dosage-balanced). -
Down Syndrome Congenital Heart Disease: a Narrowed Region and a Candidate Gene Gillian M
March/April 2001 ⅐ Vol. 3 ⅐ No. 2 article Down syndrome congenital heart disease: A narrowed region and a candidate gene Gillian M. Barlow, PhD1, Xiao-Ning Chen, MD1, Zheng Y. Shi, BS1, Gary E. Lyons, PhD2, David M. Kurnit, MD, PhD3, Livija Celle, MS4, Nancy B. Spinner, PhD4, Elaine Zackai, MD4, Mark J. Pettenati, PhD5, Alexander J. Van Riper, MS6, Michael J. Vekemans, MD7, Corey H. Mjaatvedt, PhD8, and Julie R. Korenberg, PhD, MD1 Purpose: Down syndrome (DS) is a major cause of congenital heart disease (CHD) and the most frequent known cause of atrioventricular septal defects (AVSDs). Molecular studies of rare individuals with CHD and partial duplications of chromosome 21 established a candidate region that included D21S55 through the telomere. We now report human molecular and cardiac data that narrow the DS-CHD region, excluding two candidate regions, and propose DSCAM (Down syndrome cell adhesion molecule) as a candidate gene. Methods: A panel of 19 individuals with partial trisomy 21 was evaluated using quantitative Southern blot dosage analysis and fluorescence in situ hybridization (FISH) with subsets of 32 BACs spanning the region defined by D21S16 (21q11.2) through the telomere. These BACs span the molecular markers D21S55, ERG, ETS2, MX1/2, collagen XVIII and collagen VI A1/A2. Fourteen individuals are duplicated for the candidate region, of whom eight (57%) have the characteristic spectrum of DS-CHD. Results: Combining the results from these eight individuals suggests the candidate region for DS-CHD is demarcated by D21S3 (defined by ventricular septal defect), through PFKL (defined by tetralogy of Fallot). Conclusions: These data suggest that the presence of three copies of gene(s) from the region is sufficient for the production of subsets of DS-CHD.