New Basal Cell Carcinoma Susceptibility Loci
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Role of RUNX1 in Aberrant Retinal Angiogenesis Jonathan D
Page 1 of 25 Diabetes Identification of RUNX1 as a mediator of aberrant retinal angiogenesis Short Title: Role of RUNX1 in aberrant retinal angiogenesis Jonathan D. Lam,†1 Daniel J. Oh,†1 Lindsay L. Wong,1 Dhanesh Amarnani,1 Cindy Park- Windhol,1 Angie V. Sanchez,1 Jonathan Cardona-Velez,1,2 Declan McGuone,3 Anat O. Stemmer- Rachamimov,3 Dean Eliott,4 Diane R. Bielenberg,5 Tave van Zyl,4 Lishuang Shen,1 Xiaowu Gai,6 Patricia A. D’Amore*,1,7 Leo A. Kim*,1,4 Joseph F. Arboleda-Velasquez*1 Author affiliations: 1Schepens Eye Research Institute/Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, 20 Staniford St., Boston, MA 02114 2Universidad Pontificia Bolivariana, Medellin, Colombia, #68- a, Cq. 1 #68305, Medellín, Antioquia, Colombia 3C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114 4Retina Service, Massachusetts Eye and Ear Infirmary, Department of Ophthalmology, Harvard Medical School, 243 Charles St., Boston, MA 02114 5Vascular Biology Program, Boston Children’s Hospital, Department of Surgery, Harvard Medical School, 300 Longwood Ave., Boston, MA 02115 6Center for Personalized Medicine, Children’s Hospital Los Angeles, Los Angeles, 4650 Sunset Blvd, Los Angeles, CA 90027, USA 7Department of Pathology, Harvard Medical School, 25 Shattuck St., Boston, MA 02115 Corresponding authors: Joseph F. Arboleda-Velasquez: [email protected] Ph: (617) 912-2517 Leo Kim: [email protected] Ph: (617) 912-2562 Patricia D’Amore: [email protected] Ph: (617) 912-2559 Fax: (617) 912-0128 20 Staniford St. Boston MA, 02114 † These authors contributed equally to this manuscript Word Count: 1905 Tables and Figures: 4 Diabetes Publish Ahead of Print, published online April 11, 2017 Diabetes Page 2 of 25 Abstract Proliferative diabetic retinopathy (PDR) is a common cause of blindness in the developed world’s working adult population, and affects those with type 1 and type 2 diabetes mellitus. -
Integrated Cytogenetic and High-Resolution Array CGH Analysis of Genomic Alterations Associated with MYCN Amplification
Original Article Cytogenet Genome Res 2011;134:27–39 Accepted: November 3, 2010 DOI: 10.1159/000324698 by M. Schmid Published online: April 18, 2011 Integrated Cytogenetic and High-Resolution Array CGH Analysis of Genomic Alterations Associated with MYCN Amplification a b c c b d A. Pandita J. Bayani J. Paderova P. Marrano C. Graham M. Barrett e f g M. Prasad M. Zielenska J.A. Squire a b Department of Oncology Diagnostics, Genentech, South San Francisco, Calif. , USA; Department of c Laboratory Medicine and Pathobiology, University of Toronto, and Department of Applied Molecular Oncology, d Ontario Cancer Institute, Toronto, Ont. , Canada; Pharmaceutical Genomics Division, Translational Genomics e Research Institute, Scottsdale, Ariz. , Agilent Technologies Inc. Headquarters, Santa Clara, Calif. , USA; f Department of Pathology and Laboratory Medicine, The Hospital for Sick Children, Toronto, Ont. , and g Department of Pathology and Molecular Medicine, Queen’s University and Kingston General Hospital, Kingston, Ont. , Canada Key Words plicon is quite intriguing. MYCN is usually centrally located in aCGH ؒ FISH ؒ mBAND ؒ MYCN ؒ Neuroblastoma ؒ the amplicon; however, the structure and complexity of the Retinoblastoma amplicons were highly variable. It is noteworthy that clusters of unstable repetitive regions characterized by CNV se- quences were present throughout the regions encompassed Abstract by MYCN gene amplification, and these sequences could Amplification of oncogenes and closely linked flanking provide a mechanism to destabilize this region of the ge- genes is common in some types of cancer and can be asso- nome. Complex structural rearrangements involving ge- ciated with complex chromosome rearrangements and/or nomic losses and gains in the 2p24 region lead to MYCN am- co-amplification of non-syntenic chromosomal regions. -
Probabilistic Models for Collecting, Analyzing, and Modeling Expression Data
Probabilistic Models for Collecting, Analyzing, and Modeling Expression Data Hai-Son Phuoc Le May 2013 CMU-ML-13-101 Probabilistic Models for Collecting, Analyzing, and Modeling Expression Data Hai-Son Phuoc Le May 2013 CMU-ML-13-101 Machine Learning Department School of Computer Science Carnegie Mellon University Thesis Committee Ziv Bar-Joseph, Chair Christopher Langmead Roni Rosenfeld Quaid Morris Submitted in partial fulfillment of the requirements for the Degree of Doctor of Philosophy. Copyright @ 2013 Hai-Son Le This research was sponsored by the National Institutes of Health under grant numbers 5U01HL108642 and 1R01GM085022, the National Science Foundation under grant num- bers DBI0448453 and DBI0965316, and the Pittsburgh Life Sciences Greenhouse. The views and conclusions contained in this document are those of the author and should not be interpreted as representing the official policies, either expressed or implied, of any sponsoring institution, the U.S. government or any other entity. Keywords: genomics, gene expression, gene regulation, microarray, RNA-Seq, transcriptomics, error correction, comparative genomics, regulatory networks, cross-species, expression database, Gene Expression Omnibus, GEO, orthologs, microRNA, target prediction, Dirichlet Process, Indian Buffet Process, hidden Markov model, immune response, cancer. To Mom and Dad. i Abstract Advances in genomics allow researchers to measure the complete set of transcripts in cells. These transcripts include messenger RNAs (which encode for proteins) and microRNAs, short RNAs that play an important regulatory role in cellular networks. While this data is a great resource for reconstructing the activity of networks in cells, it also presents several computational challenges. These challenges include the data collection stage which often results in incomplete and noisy measurement, developing methods to integrate several experiments within and across species, and designing methods that can use this data to map the interactions and networks that are activated in specific conditions. -
Analysis of the Indacaterol-Regulated Transcriptome in Human Airway
Supplemental material to this article can be found at: http://jpet.aspetjournals.org/content/suppl/2018/04/13/jpet.118.249292.DC1 1521-0103/366/1/220–236$35.00 https://doi.org/10.1124/jpet.118.249292 THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS J Pharmacol Exp Ther 366:220–236, July 2018 Copyright ª 2018 by The American Society for Pharmacology and Experimental Therapeutics Analysis of the Indacaterol-Regulated Transcriptome in Human Airway Epithelial Cells Implicates Gene Expression Changes in the s Adverse and Therapeutic Effects of b2-Adrenoceptor Agonists Dong Yan, Omar Hamed, Taruna Joshi,1 Mahmoud M. Mostafa, Kyla C. Jamieson, Radhika Joshi, Robert Newton, and Mark A. Giembycz Departments of Physiology and Pharmacology (D.Y., O.H., T.J., K.C.J., R.J., M.A.G.) and Cell Biology and Anatomy (M.M.M., R.N.), Snyder Institute for Chronic Diseases, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Received March 22, 2018; accepted April 11, 2018 Downloaded from ABSTRACT The contribution of gene expression changes to the adverse and activity, and positive regulation of neutrophil chemotaxis. The therapeutic effects of b2-adrenoceptor agonists in asthma was general enriched GO term extracellular space was also associ- investigated using human airway epithelial cells as a therapeu- ated with indacaterol-induced genes, and many of those, in- tically relevant target. Operational model-fitting established that cluding CRISPLD2, DMBT1, GAS1, and SOCS3, have putative jpet.aspetjournals.org the long-acting b2-adrenoceptor agonists (LABA) indacaterol, anti-inflammatory, antibacterial, and/or antiviral activity. Numer- salmeterol, formoterol, and picumeterol were full agonists on ous indacaterol-regulated genes were also induced or repressed BEAS-2B cells transfected with a cAMP-response element in BEAS-2B cells and human primary bronchial epithelial cells by reporter but differed in efficacy (indacaterol $ formoterol . -
Mouse Fam49a Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Fam49a Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Fam49a conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Fam49a gene (NCBI Reference Sequence: NM_029758 ; Ensembl: ENSMUSG00000020589 ) is located on Mouse chromosome 12. 13 exons are identified, with the ATG start codon in exon 4 and the TAG stop codon in exon 13 (Transcript: ENSMUST00000069066). Exon 5 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Fam49a gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-184A24 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 5 starts from about 7.33% of the coding region. The knockout of Exon 5 will result in frameshift of the gene. The size of intron 4 for 5'-loxP site insertion: 17286 bp, and the size of intron 5 for 3'-loxP site insertion: 1046 bp. The size of effective cKO region: ~622 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 5 6 13 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Fam49a Homology arm cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Dnp63a Represses Anti-Proliferative Genes Via H2A.Z Deposition
Downloaded from genesdev.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press DNp63a represses anti-proliferative genes via H2A.Z deposition Corrie L. Gallant-Behm,1,2 Matthew R. Ramsey,3 Claire L. Bensard,1,2 Ignacio Nojek,1,2 Jack Tran,1,2 Minghua Liu,1,2 Leif W. Ellisen,3 and Joaquı´n M. Espinosa1,2,4 1Howard Hughes Medical Institute, 2Department of Molecular, Cellular, and Developmental Biology, University of Colorado at Boulder, Boulder, Colorado 80309, USA; 3Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts 02114, USA DNp63a is a member of the p53 family of transcription factors that functions as an oncogene in squamous cell carcinomas (SCCs). Because DNp63a and p53 bind virtually identical DNA sequence motifs, it has been proposed that DNp63a functions as a dominant-negative inhibitor of p53 to promote proliferation and block apoptosis. However, most SCCs concurrently overexpress DNp63a and inactivate p53, suggesting the autonomous action of these oncogenic events. Here we report the discovery of a novel mechanism of transcriptional repression by DNp63a that reconciles these observations. We found that although both proteins bind the same genomic sites, they regulate largely nonoverlapping gene sets. Upon activation, p53 binds all enhancers regardless of DNp63a status but fails to transactivate genes repressed by DNp63a. We found that DNp63a associates with the SRCAP chromatin regulatory complex involved in H2A/H2A.Z exchange and mediates H2A.Z deposition at its target loci. Interestingly, knockdown of SRCAP subunits or H2A.Z leads to specific induction of DNp63a-repressed genes. We identified SAMD9L as a key anti-proliferative gene repressed by DNp63a and H2A.Z whose depletion suffices to reverse the arrest phenotype caused by DNp63a knockdown. -
Gene Amplification As Double Minutes Or Homogeneously Staining Regions in Solid Tumors: Origin and Structure
Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Research Gene amplification as double minutes or homogeneously staining regions in solid tumors: Origin and structure Clelia Tiziana Storlazzi,1 Angelo Lonoce,1 Maria C. Guastadisegni,1 Domenico Trombetta,1 Pietro D’Addabbo,1 Giulia Daniele,1 Alberto L’Abbate,1 Gemma Macchia,1 Cecilia Surace,1,7 Klaas Kok,2 Reinhard Ullmann,3 Stefania Purgato,4 Orazio Palumbo,5 Massimo Carella,5 Peter F. Ambros,6 and Mariano Rocchi1,8 1Department of Genetics and Microbiology, University of Bari, Bari 70126, Italy; 2Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen 9700 RR, The Netherlands; 3Department of Human Molecular Genetics, Max Planck Institute for Molecular Genetics, Berlin 14195, Germany; 4Department of Biology, University of Bologna, Bologna 40126, Italy; 5Medical Genetics Unit, IRCCS Casa Sollievo della Sofferenza Hospital, San Giovanni Rotondo (FG) 71013, Italy; 6Children’s Cancer Research Institute (CCRI), St. Anna Kinderkrebsforschung, Vienna A-1090, Austria Double minutes (dmin) and homogeneously staining regions (hsr) are the cytogenetic hallmarks of genomic amplification in cancer. Different mechanisms have been proposed to explain their genesis. Recently, our group showed that the MYC-containing dmin in leukemia cases arise by excision and amplification (episome model). In the present paper we investigated 10 cell lines from solid tumors showing MYCN amplification as dmin or hsr. Particularly revealing results were provided by the two subclones of the neuroblastoma cell line STA-NB-10, one showing dmin-only and the second hsr-only amplification. Both subclones showed a deletion, at 2p24.3, whose extension matched the amplicon extension. -
Bioinformatics Analysis of the CDK2 Functions in Neuroblastoma
MOLECULAR MEDICINE REPORTS 17: 3951-3959, 2018 Bioinformatics analysis of the CDK2 functions in neuroblastoma LIJUAN BO1*, BO WEI2*, ZHANFENG WANG2, DALIANG KONG3, ZHENG GAO2 and ZHUANG MIAO2 Departments of 1Infections, 2Neurosurgery and 3Orthopaedics, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China Received December 20, 2016; Accepted November 14, 2017 DOI: 10.3892/mmr.2017.8368 Abstract. The present study aimed to elucidate the poten- childhood cancer mortality (1,2). Despite intensive myeloabla- tial mechanism of cyclin-dependent kinase 2 (CDK2) in tive chemotherapy, survival rates for neuroblastoma have not neuroblastoma progression and to identify the candidate substantively improved; relapse is common and frequently genes associated with neuroblastoma with CDK2 silencing. leads to mortality (3,4). Like most human cancers, this child- The microarray data of GSE16480 were obtained from the hood cancer can be inherited; however, the genetic aetiology gene expression omnibus database. This dataset contained remains to be elucidated (3). Therefore, an improved under- 15 samples: Neuroblastoma cell line IMR32 transfected standing of the genetics and biology of neuroblastoma may with CDK2 shRNA at 0, 8, 24, 48 and 72 h (n=3 per group; contribute to further cancer therapies. total=15). Significant clusters associated with differen- In terms of genetics, neuroblastoma tumors from patients tially expressed genes (DEGs) were identified using fuzzy with aggressive phenotypes often exhibit significant MYCN C-Means algorithm in the Mfuzz package. Gene ontology and proto-oncogene, bHLH transcription factor (MYCN) amplifi- pathway enrichment analysis of DEGs in each cluster were cation and are strongly associated with a poor prognosis (5). -
Identification of Potential Core Genes in Sevoflurance Induced Myocardial
Identication of Potential core genes in Sevourance induced Myocardial Energy Metabolism in Patients Undergoing Off-pump Coronary Artery Bypass Graft Surgery using Bioinformatics analysis Hua Lin ( [email protected] ) Tianjin Medical University General Hospital Airport Site Research article Keywords: sevourane, Myocardial Energy Metabolism, Off-pump Coronary Artery Bypass Graft Surgery Posted Date: November 18th, 2019 DOI: https://doi.org/10.21203/rs.2.17434/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/15 Abstract Background: Myocardial ischemia-reperfusion injury always happened after Off-pump coronary artery bypass graft(OPCABG), and this can not be avoided altogether. In this study, we tried to detect potential genes of sevourane-induced myocardial energy metabolism in patients undergoing OPCABG using bioinformatics analysis. Methods: We download and analyze the gene expression prole data from the Gene Expression Omnibus(GEO) database using bioinformatics methods. We downloded the gene expression data from the Gene Expression Omnibus(GEO) database using bioinformatics methods. Gene Ontology(GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were used to analysis the screened differentially expressed genes(DEGs). Then, we established a protein–protein interaction (PPI) network to nd hub genes associated with myocardial energy metabolism. Results: Through PPI network, we nd ten hub genes, including JUN, EGR1, ATF3, FOSB, JUNB, DUSP1, EGR2, NR4A1, BTG2, NR4A2. Conclusions: In conclusion, the proteins encoded by EGR1ATF3c-FosBtg2JunBDUSP1NR4A1BTG2 and NR4A2 were related to cardiac function. ATF3, FOSB, JUNB, DUSP1, NR4A1, NR4A2 are related to apoptosis of cardiomyocytes. The protein encoded by BTG2 is related to hypertrophy. -
Skeletal Muscle Transcriptome in Healthy Aging
ARTICLE https://doi.org/10.1038/s41467-021-22168-2 OPEN Skeletal muscle transcriptome in healthy aging Robert A. Tumasian III 1, Abhinav Harish1, Gautam Kundu1, Jen-Hao Yang1, Ceereena Ubaida-Mohien1, Marta Gonzalez-Freire1, Mary Kaileh1, Linda M. Zukley1, Chee W. Chia1, Alexey Lyashkov1, William H. Wood III1, ✉ Yulan Piao1, Christopher Coletta1, Jun Ding1, Myriam Gorospe1, Ranjan Sen1, Supriyo De1 & Luigi Ferrucci 1 Age-associated changes in gene expression in skeletal muscle of healthy individuals reflect accumulation of damage and compensatory adaptations to preserve tissue integrity. To characterize these changes, RNA was extracted and sequenced from muscle biopsies col- 1234567890():,; lected from 53 healthy individuals (22–83 years old) of the GESTALT study of the National Institute on Aging–NIH. Expression levels of 57,205 protein-coding and non-coding RNAs were studied as a function of aging by linear and negative binomial regression models. From both models, 1134 RNAs changed significantly with age. The most differentially abundant mRNAs encoded proteins implicated in several age-related processes, including cellular senescence, insulin signaling, and myogenesis. Specific mRNA isoforms that changed sig- nificantly with age in skeletal muscle were enriched for proteins involved in oxidative phosphorylation and adipogenesis. Our study establishes a detailed framework of the global transcriptome and mRNA isoforms that govern muscle damage and homeostasis with age. ✉ 1 National Institute on Aging–Intramural Research Program, National -
Rank-Based Molecular Prognosis and Network-Guided Biomarker Discovery for Breast Cancer Yunlong Jiao
Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer Yunlong Jiao To cite this version: Yunlong Jiao. Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer. Cancer. Université Paris sciences et lettres, 2017. English. NNT : 2017PSLEM027. tel- 01744747 HAL Id: tel-01744747 https://pastel.archives-ouvertes.fr/tel-01744747 Submitted on 27 Mar 2018 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. THÈSE DE DOCTORAT de l’Université de recherche Paris Sciences et Lettres PSL Research University Préparée à MINES ParisTech Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer Pronostic moléculaire basé sur l’ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein École doctorale no432 SCIENCES DES MÉTIERS DE L’INGÉNIEUR Spécialité BIO-INFORMATIQUE COMPOSITION DU JURY : M. Francis BACH INRIA, Président M. Stéphan CLEMENCON Télécom ParisTech, Rapporteur M. Risi KONDOR Soutenue par Yunlong JIAO University of Chicago, Rapporteur le 11 septembre 2017 Mme Chloé-Agathe AZENCOTT MINES ParisTech, Examinateur Dirigée par Jean-Philippe VERT M. Joaquin DOPAZO Fundación Progreso y Salud, Examinateur M. Jean-Philippe VERT MINES ParisTech, Examinateur Abstract i Abstract Breast cancer is the second most common cancer worldwide and the leading cause of women’s death from cancer. -
WO 2016/130600 A2 18 August 2016 (18.08.2016) 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 2016/130600 A2 18 August 2016 (18.08.2016) P O P C T (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, C12Q 1/68 (2006.0 1) C12N 9/22 (2006.0 1) BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, (21) International Application Number: HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, PCT/US20 16/0 17221 KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, (22) International Filing Date: MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, ' February 2016 (09.02.2016) PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, (25) Filing Language: English TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (26) Publication Language: English (84) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of regional protection available): ARIPO (BW, GH, 62/1 13,569 February 2015 (09.02.2015) US GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, (71) Applicant: DUKE UNIVERSITY [US/US]; 2812 Erwin TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, Road, Suite 306, Durham, NC 27705 (US).