Genetic, Epigenetic and Transcriptome Studies of Tourette Syndrome and Tic Disorders
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Cisplatin and Phenanthriplatin Modulate Long-Noncoding
www.nature.com/scientificreports OPEN Cisplatin and phenanthriplatin modulate long‑noncoding RNA expression in A549 and IMR90 cells revealing regulation of microRNAs, Wnt/β‑catenin and TGF‑β signaling Jerry D. Monroe1,2, Satya A. Moolani2,3, Elvin N. Irihamye2,4, Katheryn E. Lett1, Michael D. Hebert1, Yann Gibert1* & Michael E. Smith2* The monofunctional platinum(II) complex, phenanthriplatin, acts by blocking transcription, but its regulatory efects on long‑noncoding RNAs (lncRNAs) have not been elucidated relative to traditional platinum‑based chemotherapeutics, e.g., cisplatin. Here, we treated A549 non‑small cell lung cancer and IMR90 lung fbroblast cells for 24 h with either cisplatin, phenanthriplatin or a solvent control, and then performed microarray analysis to identify regulated lncRNAs. RNA22 v2 microRNA software was subsequently used to identify microRNAs (miRNAs) that might be suppressed by the most regulated lncRNAs. We found that miR‑25‑5p, ‑30a‑3p, ‑138‑5p, ‑149‑3p, ‑185‑5p, ‑378j, ‑608, ‑650, ‑708‑5p, ‑1253, ‑1254, ‑4458, and ‑4516, were predicted to target the cisplatin upregulated lncRNAs, IMMP2L‑1, CBR3‑1 and ATAD2B‑5, and the phenanthriplatin downregulated lncRNAs, AGO2‑1, COX7A1‑2 and SLC26A3‑1. Then, we used qRT‑PCR to measure the expression of miR‑25‑5p, ‑378j, ‑4516 (A549) and miR‑149‑3p, ‑608, and ‑4458 (IMR90) to identify distinct signaling efects associated with cisplatin and phenanthriplatin. The signaling pathways associated with these miRNAs suggests that phenanthriplatin may modulate Wnt/β‑catenin and TGF‑β signaling through the MAPK/ ERK and PTEN/AKT pathways diferently than cisplatin. Further, as some of these miRNAs may be subject to dissimilar lncRNA targeting in A549 and IMR90 cells, the monofunctional complex may not cause toxicity in normal lung compared to cancer cells by acting through distinct lncRNA and miRNA networks. -
AVILA-DISSERTATION.Pdf
LOGOS EX MACHINA: A REASONED APPROACH TOWARD CANCER by Andrew Avila, B. S., M. S. A Dissertation In Biological Sciences Submitted to the Graduate Faculty of Texas Tech University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Approved Lauren Gollahon Chairperson of the Committee Rich Strauss Sean Rice Boyd Butler Richard Watson Peggy Gordon Miller Dean of the Graduate School May, 2012 c 2012, Andrew Avila Texas Tech University, Andrew Avila, May 2012 ACKNOWLEDGEMENTS I wish to acknowledge the incredible support given to me by my major adviser, Dr. Lauren Gollahon. Without your guidance surely I would not have made it as far as I have. Furthermore, the intellectual exchange I have shared with my advisory committee these long years have propelled me to new heights of inquiry I had not dreamed of even in the most lucid of my imaginings. That their continual intellectual challenges have provoked and evoked a subtle sense of natural wisdom is an ode to their efficacy in guiding the aspirant to the well of knowledge. For this initiation into the mysteries of nature I cannot thank my advisory committee enough. I also wish to thank the Vice President of Research for the fellowship which sustained the initial couple years of my residency at Texas Tech. Furthermore, my appreciation of the support provided to me by the Biology Department, financial and otherwise, cannot be understated. Finally, I also wish to acknowledge the individuals working at the High Performance Computing Center, without your tireless support in maintaining the cluster I would have not have completed the sheer amount of research that I have. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Abstracts from the 50Th European Society of Human Genetics Conference: Electronic Posters
European Journal of Human Genetics (2019) 26:820–1023 https://doi.org/10.1038/s41431-018-0248-6 ABSTRACT Abstracts from the 50th European Society of Human Genetics Conference: Electronic Posters Copenhagen, Denmark, May 27–30, 2017 Published online: 1 October 2018 © European Society of Human Genetics 2018 The ESHG 2017 marks the 50th Anniversary of the first ESHG Conference which took place in Copenhagen in 1967. Additional information about the event may be found on the conference website: https://2017.eshg.org/ Sponsorship: Publication of this supplement is sponsored by the European Society of Human Genetics. All authors were asked to address any potential bias in their abstract and to declare any competing financial interests. These disclosures are listed at the end of each abstract. Contributions of up to EUR 10 000 (ten thousand euros, or equivalent value in kind) per year per company are considered "modest". Contributions above EUR 10 000 per year are considered "significant". 1234567890();,: 1234567890();,: E-P01 Reproductive Genetics/Prenatal and fetal echocardiography. The molecular karyotyping Genetics revealed a gain in 8p11.22-p23.1 region with a size of 27.2 Mb containing 122 OMIM gene and a loss in 8p23.1- E-P01.02 p23.3 region with a size of 6.8 Mb containing 15 OMIM Prenatal diagnosis in a case of 8p inverted gene. The findings were correlated with 8p inverted dupli- duplication deletion syndrome cation deletion syndrome. Conclusion: Our study empha- sizes the importance of using additional molecular O¨. Kırbıyık, K. M. Erdog˘an, O¨.O¨zer Kaya, B. O¨zyılmaz, cytogenetic methods in clinical follow-up of complex Y. -
REVIEW ARTICLE the Genetics of Autism
REVIEW ARTICLE The Genetics of Autism Rebecca Muhle, BA*; Stephanie V. Trentacoste, BA*; and Isabelle Rapin, MD‡ ABSTRACT. Autism is a complex, behaviorally de- tribution of a few well characterized X-linked disorders, fined, static disorder of the immature brain that is of male-to-male transmission in a number of families rules great concern to the practicing pediatrician because of an out X-linkage as the prevailing mode of inheritance. The astonishing 556% reported increase in pediatric preva- recurrence rate in siblings of affected children is ϳ2% to lence between 1991 and 1997, to a prevalence higher than 8%, much higher than the prevalence rate in the general that of spina bifida, cancer, or Down syndrome. This population but much lower than in single-gene diseases. jump is probably attributable to heightened awareness Twin studies reported 60% concordance for classic au- and changing diagnostic criteria rather than to new en- tism in monozygotic (MZ) twins versus 0 in dizygotic vironmental influences. Autism is not a disease but a (DZ) twins, the higher MZ concordance attesting to ge- syndrome with multiple nongenetic and genetic causes. netic inheritance as the predominant causative agent. By autism (the autistic spectrum disorders [ASDs]), we Reevaluation for a broader autistic phenotype that in- mean the wide spectrum of developmental disorders cluded communication and social disorders increased characterized by impairments in 3 behavioral domains: 1) concordance remarkably from 60% to 92% in MZ twins social interaction; 2) language, communication, and and from 0% to 10% in DZ pairs. This suggests that imaginative play; and 3) range of interests and activities. -
GWAS) Focusing on Patients with Mood Or Anxiety Disorders and Co-Occurring Alcohol-Use Disorders
diagnostics Review Genetic Basis of Dual Diagnosis: A Review of Genome-Wide Association Studies (GWAS) Focusing on Patients with Mood or Anxiety Disorders and Co-Occurring Alcohol-Use Disorders Kaloyan Stoychev 1,* , Dancho Dilkov 2, Elahe Naghavi 3 and Zornitsa Kamburova 4 1 Department of Psychiatry, Medical University Pleven, 5800 Pleven, Bulgaria 2 Department of Psychiatry, Military Medical Academy Sofia, 1606 Sofia, Bulgaria; [email protected] 3 Medical University Pleven, 5800 Pleven, Bulgaria; [email protected] 4 Department of Medical Genetics, Medical University Pleven, 5800 Pleven, Bulgaria; [email protected] * Correspondence: [email protected]; Tel.: +359-64-886-867 Abstract: (1) Background: Comorbidity between Alcohol Use Disorders (AUD), mood, and anxiety disorders represents a significant health burden, yet its neurobiological underpinnings are elusive. The current paper reviews all genome-wide association studies conducted in the past ten years, sampling patients with AUD and co-occurring mood or anxiety disorder(s). (2) Methods: In keeping with PRISMA guidelines, we searched EMBASE, Medline/PUBMED, and PsycINFO databases (January 2010 to December 2020), including references of enrolled studies. Study selection was based on predefined criteria and data underwent a multistep revision process. (3) Results: 15 studies were included. Some of them explored dual diagnoses phenotypes directly while others employed Citation: Stoychev, K.; Dilkov, D.; correlational analysis based on polygenic risk score approach. Their results support the significant Naghavi, E.; Kamburova, Z. Genetic overlap of genetic factors involved in AUDs and mood and anxiety disorders. Comorbidity risk Basis of Dual Diagnosis: A Review of seems to be conveyed by genes engaged in neuronal development, connectivity, and signaling Genome-Wide Association Studies although the precise neuronal pathways and mechanisms remain unclear. -
Amanda Tábita Da Silva Albanaz
Amanda Tábita da Silva Albanaz Entendendo os Mecanismos Moleculares de Mutações que causam Esclerose Lateral Amiotrófica Universidade Federal de Minas Gerais Belo Horizonte Fevereiro de 2019 Amanda Tábita da Silva Albanaz Entendendo os Mecanismos Moleculares de Mutações que causam Esclerose Lateral Amiotrófica Dissertação apresentada ao Programa Interunidades de Pós-graduação em Bioinformática do Instituto de Ciências Biológicas da Universidade Federal de Minas Gerais como requisito para obtenção do título de Mestre em Bioinformática. Orientador: Douglas Eduardo Valente Pires Co-orientador: David Benjamin Ascher Programa Interunidades de Pós-Graduação em Bioinformática Universidade Federal de Minas Gerais - UFMG Instituto de Ciências Biológicas Belo Horizonte, Fevereiros de 2019 Agradecimentos Gostaria de expressar minha gratidão aos meus orientadores. Ao Dr. Douglas Pires, por todo o apoio, incentivo e imensa compreensão, durante cada etapa do meu desenvolvimento acadêmico sob sua orientação. Ao Dr. David Ascher, que apesar da grande distância tem sido indispensável ao meu desenvolvimento e sempre se lembra de detalhes e materiais importantes. Obrigada à ambos pela oportunidade de aprender com vocês. Agradeço também ao Instituto de Ciências Biológicas da UFMG, à todos os professores e equipes de suporte acadêmico, à pós-graduação em Bioinformática, imprescindíveis à formação acadêmica. Ao Instituto René Rachou – Fiocruz Minas, obrigada pela oportunidade de aprendizado e crescimento. Sou grata aos colegas da Plataforma de Bioinformática, sem exceção àqueles que buscaram novos desafios em outras instituições e países. Agradeço à todos e em especial à Joicy, por todas as contribuições e suporte durante essa jornada. Minha eterna gratidão aos meus pais, Vander e Marlene, à minha irmã Júlia e ao meu companheiro, João. -
Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham a Thesis Submitted in Conformity
Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham A thesis submitted in conformity with the requirements for the degree of Master of Science Graduate Department of Molecular Genetics University of Toronto © Copyright by Edward James Higginbotham 2020 i Abstract Characterizing Genomic Duplication in Autism Spectrum Disorder Edward James Higginbotham Master of Science Graduate Department of Molecular Genetics University of Toronto 2020 Duplication, the gain of additional copies of genomic material relative to its ancestral diploid state is yet to achieve full appreciation for its role in human traits and disease. Challenges include accurately genotyping, annotating, and characterizing the properties of duplications, and resolving duplication mechanisms. Whole genome sequencing, in principle, should enable accurate detection of duplications in a single experiment. This thesis makes use of the technology to catalogue disease relevant duplications in the genomes of 2,739 individuals with Autism Spectrum Disorder (ASD) who enrolled in the Autism Speaks MSSNG Project. Fine-mapping the breakpoint junctions of 259 ASD-relevant duplications identified 34 (13.1%) variants with complex genomic structures as well as tandem (193/259, 74.5%) and NAHR- mediated (6/259, 2.3%) duplications. As whole genome sequencing-based studies expand in scale and reach, a continued focus on generating high-quality, standardized duplication data will be prerequisite to addressing their associated biological mechanisms. ii Acknowledgements I thank Dr. Stephen Scherer for his leadership par excellence, his generosity, and for giving me a chance. I am grateful for his investment and the opportunities afforded me, from which I have learned and benefited. I would next thank Drs. -
Mechanisms of Common Fragile Site Instability and Cancer
MECHANISMS OF COMMON FRAGILE SITE INSTABILITY AND CANCER by Ryan L. Ragland A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Human Genetics) in The University of Michigan 2009 Doctoral Committee: Professor Thomas W. Glover, Chair Professor Sally A. Camper Associate Professor Mats E. Ljungman Assistant Professor David O. Ferguson Assistant Professor Joann Sekiguchi © Ryan L. Ragland 2009 For my family and friends. ii Acknowledgments First and foremost I would like to acknowledge my family and friends without whom I would not be the person or scientist that I am today. This is exceptionally true for my wife Mary, whose love and support made this entire process possible. I would like to acknowledge my committee and its chair and my mentor Dr. Thomas Glover for all their support and understanding throughout these years. Also I would like to acknowledge Dr. Martin Arlt who, whether he likes it or not, is personally responsible for my development as a scientist. I would like to acknowledge the University of Michigan comprehensive cancer center in general and Dr. Eric Fearon in specific for their unwavering financial and scientific support of my work. Finally, special thanks to all of the members of the Glover lab past and present who have made my time here memorable and enjoyable and whose expertise was indispensable. iii Table of Contents Dedication…………………………………………………………………...……ii Acknowledgments…………….………………………………………...……….iii List of Figures………………………………………………………………..…vii List of Tables………………………………………………………….…………ix -
Visualizing Locus-Speciic Sister Chromatid Exchange Reveals Differential Patterns of Replication Stress-Induced Fragile Site Breakage
Oncogene (2020) 39:1260–1272 https://doi.org/10.1038/s41388-019-1054-5 ARTICLE Visualizing locus-specific sister chromatid exchange reveals differential patterns of replication stress-induced fragile site breakage 1 1 1 1 1,2 Irina Waisertreiger ● Katherine Popovich ● Maya Block ● Krista R. Anderson ● Jacqueline H. Barlow Received: 16 November 2018 / Revised: 26 September 2019 / Accepted: 2 October 2019 / Published online: 21 October 2019 © The Author(s) 2019. This article is published with open access Abstract Chromosomal fragile sites are genomic loci sensitive to replication stress which accumulate high levels of DNA damage, and are frequently mutated in cancers. Fragile site damage is thought to arise from the aberrant repair of spontaneous replication stress, however successful fragile site repair cannot be calculated using existing techniques. Here, we report a new assay measuring recombination-mediated repair at endogenous genomic loci by combining a sister chromatid exchange (SCE) assay with fluorescent in situ hybridization (SCE-FISH). Using SCE-FISH, we find that endogenous and exogenous replication stress generated unrepaired breaks and SCEs at fragile sites. We also find that distinct sources of replication stress 1234567890();,: 1234567890();,: induce distinct patterns of breakage: ATR inhibition induces more breaks at early replicating fragile sites (ERFS), while ERFS and late-replicating common fragile sites (CFS) are equally fragile in response to aphidicolin. Furthermore, SCEs were suppressed at fragile sites near centromeres in response to replication stress, suggesting that genomic location influences DNA repair pathway choice. SCE-FISH also measured successful recombination in human primary lymphocytes, and identificed the proto-oncogene BCL2 as a replication stress-induced fragile site. -
Platform Abstracts
American Society of Human Genetics 65th Annual Meeting October 6–10, 2015 Baltimore, MD PLATFORM ABSTRACTS Wednesday, October 7, 9:50-10:30am Abstract #’s Friday, October 9, 2:15-4:15 pm: Concurrent Platform Session D: 4. Featured Plenary Abstract Session I Hall F #1-#2 46. Hen’s Teeth? Rare Variants and Common Disease Ballroom I #195-#202 Wednesday, October 7, 2:30-4:30pm Concurrent Platform Session A: 47. The Zen of Gene and Variant 15. Update on Breast and Prostate Assessment Ballroom III #203-#210 Cancer Genetics Ballroom I #3-#10 48. New Genes and Mechanisms in 16. Switching on to Regulatory Variation Ballroom III #11-#18 Developmental Disorders and 17. Shedding Light into the Dark: From Intellectual Disabilities Room 307 #211-#218 Lung Disease to Autoimmune Disease Room 307 #19-#26 49. Statistical Genetics: Networks, 18. Addressing the Difficult Regions of Pathways, and Expression Room 309 #219-#226 the Genome Room 309 #27-#34 50. Going Platinum: Building a Better 19. Statistical Genetics: Complex Genome Room 316 #227-#234 Phenotypes, Complex Solutions Room 316 #35-#42 51. Cancer Genetic Mechanisms Room 318/321 #235-#242 20. Think Globally, Act Locally: Copy 52. Target Practice: Therapy for Genetic Hilton Hotel Number Variation Room 318/321 #43-#50 Diseases Ballroom 1 #243-#250 21. Recent Advances in the Genetic Basis 53. The Real World: Translating Hilton Hotel of Neuromuscular and Other Hilton Hotel Sequencing into the Clinic Ballroom 4 #251-#258 Neurodegenerative Phenotypes Ballroom 1 #51-#58 22. Neuropsychiatric Diseases of Hilton Hotel Friday, October 9, 4:30-6:30pm Concurrent Platform Session E: Childhood Ballroom 4 #59-#66 54.