Paternal Finasteride Treatment Can Influence the Testicular
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Atypical 11Q Deletions Identified by Array CGH May Be Missed by FISH
Letters to the Editor 1011 1 2 2 2 1 AC Ng , SK Kumar , SJ Russell , SV Rajkumar and MT Drake 2 Axelrod L. Glucocorticoid therapy. Medicine (Baltimore) 1976; 55: 1 Division of Endocrinology, Department of Medicine, 39–65. Mayo Clinic, Rochester, MN, USA and 3 Krasner AS. Glucocorticoid-induced adrenal insufficiency. JAMA 2Division of Hematology, Department of Medicine, 1999; 282: 671–676. Mayo Clinic, Rochester, MN, USA 4 Schlaghecke R, Kornely E, Santen RT, Ridderskamp P. The effect of E-mail: [email protected] long-term glucocorticoid therapy on pituitary-adrenal responses to exogenous corticotropin-releasing hormone. N Engl J Med 1992; 326: 226–230. References 5 Grinspoon SK, Biller BM. Clinical review 62: laboratory assessment of adrenal insufficiency. J Clin Endocrinol Metab 1994; 79: 1 Rajkumar SV, Jacobus S, Callander N, Fonseca R, Vesole D, Williams 923–931. M et al. A randomized trial of lenalidomide plus high-dose 6 Nieman LK. Dynamic evaluation of adrenal hypofunction. dexamethasone (RD) versus lenalidomide plus low-dose dexametha- J Endocrinol Invest 2003; 26 (7 Suppl): 74–82. sone (Rd) in newly diagnosed multiple myeloma (E4A03): a trial 7 Hagg E, Asplund K, Lithner F. Value of basal plasma cortisol assays coordinated by the Eastern Cooperative Oncology Group. Blood in the assessment of pituitary-adrenal insufficiency. Clin Endocrinol (ASH Annual Meeting Abstracts) 2006; 108:799. (Oxf) 1987; 26: 221–226. Atypical 11q deletions identified by array CGH may be missed by FISH panels for prognostic markers in chronic lymphocytic leukemia Leukemia (2009) 23, 1011–1017; doi:10.1038/leu.2008.393; results were because of small clonal cell populations that published online 22 January 2009 comprised o25–30% of the total sample. -
PLZF Targets Developmental Enhancers for Activation During Osteogenic Differentiation of Human Mesenchymal Stem Cells
RESEARCH ARTICLE PLZF targets developmental enhancers for activation during osteogenic differentiation of human mesenchymal stem cells Shuchi Agrawal Singh1,2,3*, Mads Lerdrup1,3, Ana-Luisa R Gomes1,3, Harmen JG van de Werken4,5,6, Jens Vilstrup Johansen1,3,7, Robin Andersson1,3,7, Albin Sandelin1,3,7, Kristian Helin8,9,10, Klaus Hansen1,3* 1Biotech Research and Innovation Centre (BRIC), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; 2Department of Hematology, Cambridge Institute for Medical Research and Welcome Trust/MRC Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom; 3Centre for Epigenetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; 4Department of Cell Biology, University Medical Center, Rotterdam, Netherlands; 5Cancer Computational Biology Center, University Medical Center, Rotterdam, Netherlands; 6Department of Urology, University Medical Center, Rotterdam, Netherlands; 7Department of Biology, The Bioinformatics Centre, University of Copenhagen, Copenhagen, Denmark; 8The Novo Nordisk Center for Stem Cell Biology, Faculty of Health and Medical Sciences University of Copenhagen, Copenhagen, Denmark; 9Cell Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States; 10Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, United States *For correspondence: [email protected]; Abstract The PLZF transcription factor is essential for osteogenic differentiation of hMSCs; [email protected] (SAS); however, its regulation and molecular function during this process is not fully understood. Here, we [email protected] (KHA) revealed that the ZBTB16 locus encoding PLZF, is repressed by Polycomb (PcG) and H3K27me3 in Competing interests: The naive hMSCs. At the pre-osteoblast stage of differentiation, the locus lost PcG binding and authors declare that no H3K27me3, gained JMJD3 recruitment, and H3K27ac resulting in high expression of PLZF. -
A Cell Line P53 Mutation Type UM
A Cell line p53 mutation Type UM-SCC 1 wt UM-SCC5 Exon 5, 157 GTC --> TTC Missense mutation by transversion (Valine --> Phenylalanine UM-SCC6 wt UM-SCC9 wt UM-SCC11A wt UM-SCC11B Exon 7, 242 TGC --> TCC Missense mutation by transversion (Cysteine --> Serine) UM-SCC22A Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC22B Exon 6, 220 TAT --> TGT Missense mutation by transition (Tyrosine --> Cysteine) UM-SCC38 Exon 5, 132 AAG --> AAT Missense mutation by transversion (Lysine --> Asparagine) UM-SCC46 Exon 8, 278 CCT --> CGT Missense mutation by transversion (Proline --> Alanine) B 1 Supplementary Methods Cell Lines and Cell Culture A panel of ten established HNSCC cell lines from the University of Michigan series (UM-SCC) was obtained from Dr. T. E. Carey at the University of Michigan, Ann Arbor, MI. The UM-SCC cell lines were derived from eight patients with SCC of the upper aerodigestive tract (supplemental Table 1). Patient age at tumor diagnosis ranged from 37 to 72 years. The cell lines selected were obtained from patients with stage I-IV tumors, distributed among oral, pharyngeal and laryngeal sites. All the patients had aggressive disease, with early recurrence and death within two years of therapy. Cell lines established from single isolates of a patient specimen are designated by a numeric designation, and where isolates from two time points or anatomical sites were obtained, the designation includes an alphabetical suffix (i.e., "A" or "B"). The cell lines were maintained in Eagle's minimal essential media supplemented with 10% fetal bovine serum and penicillin/streptomycin. -
HIST1H2BN (H2BC15) (NM 003520) 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 RC224109L3 HIST1H2BN (H2BC15) (NM_003520) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: HIST1H2BN (H2BC15) (NM_003520) Human Tagged ORF Clone Tag: Myc-DDK Symbol: H2BC15 Synonyms: H2B/d; H2BFD; HIST1H2BN Vector: pLenti-C-Myc-DDK-P2A-Puro (PS100092) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC224109). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_003520 ORF Size: 378 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 HIST1H2BN (H2BC15) (NM_003520) Human Tagged ORF Clone – RC224109L3 OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_003520.3 RefSeq Size: 449 bp RefSeq ORF: 381 bp Locus ID: 8341 UniProt ID: Q99877, A0A024RCJ9 Protein Pathways: Systemic lupus erythematosus MW: 13.9 kDa Gene Summary: Histones are basic nuclear proteins that are responsible for the nucleosome structure of the chromosomal fiber in eukaryotes. -
Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights Into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle
animals Article Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle Masoumeh Naserkheil 1 , Abolfazl Bahrami 1 , Deukhwan Lee 2,* and Hossein Mehrban 3 1 Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj 77871-31587, Iran; [email protected] (M.N.); [email protected] (A.B.) 2 Department of Animal Life and Environment Sciences, Hankyong National University, Jungang-ro 327, Anseong-si, Gyeonggi-do 17579, Korea 3 Department of Animal Science, Shahrekord University, Shahrekord 88186-34141, Iran; [email protected] * Correspondence: [email protected]; Tel.: +82-31-670-5091 Received: 25 August 2020; Accepted: 6 October 2020; Published: 9 October 2020 Simple Summary: Hanwoo is an indigenous cattle breed in Korea and popular for meat production owing to its rapid growth and high-quality meat. Its yearling weight and carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score) are economically important for the selection of young and proven bulls. In recent decades, the advent of high throughput genotyping technologies has made it possible to perform genome-wide association studies (GWAS) for the detection of genomic regions associated with traits of economic interest in different species. In this study, we conducted a weighted single-step genome-wide association study which combines all genotypes, phenotypes and pedigree data in one step (ssGBLUP). It allows for the use of all SNPs simultaneously along with all phenotypes from genotyped and ungenotyped animals. Our results revealed 33 relevant genomic regions related to the traits of interest. -
New Insights from Elucidating the Role of LMP1 in Nasopharyngeal Carcinoma
cancers Review New Insights from Elucidating the Role of LMP1 in Nasopharyngeal Carcinoma Kathy H. Y. Shair 1,2,*, Akhil Reddy 1 and Vaughn S. Cooper 2 ID 1 Cancer Virology Program, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA; [email protected] 2 Department of Microbiology and Molecular Genetics, and Center for Evolutionary Biology and Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-412-623-7717 Received: 3 March 2018; Accepted: 20 March 2018; Published: 21 March 2018 Abstract: Latent membrane protein 1 (LMP1) is an Epstein-Barr virus (EBV) oncogenic protein that has no intrinsic enzymatic activity or sequence homology to cellular or viral proteins. The oncogenic potential of LMP1 has been ascribed to pleiotropic signaling properties initiated through protein-protein interactions in cytosolic membrane compartments, but the effects of LMP1 extend to nuclear and extracellular processes. Although LMP1 is one of the latent genes required for EBV-immortalization of B cells, the biology of LMP1 in the pathogenesis of the epithelial cancer nasopharyngeal carcinoma (NPC) is more complex. NPC is prevalent in specific regions of the world with high incidence in southeast China. The epidemiology and time interval from seroconversion to NPC onset in adults would suggest the involvement of multiple risk factors that complement the establishment of a latent and persistent EBV infection. The contribution of LMP1 to EBV pathogenesis in polarized epithelia has only recently begun to be elucidated. Furthermore, the LMP1 gene has emerged as one of the most divergent sequences in the EBV genome. -
A Bayesian Approach to the Selection of Pathways and Genes.” DOI:10.1214/11-AOAS463SUPP
The Annals of Applied Statistics 2011, Vol. 5, No. 3, 1978–2002 DOI: 10.1214/11-AOAS463 c Institute of Mathematical Statistics, 2011 INCORPORATING BIOLOGICAL INFORMATION INTO LINEAR MODELS: A BAYESIAN APPROACH TO THE SELECTION OF PATHWAYS AND GENES By Francesco C. Stingo, Yian A. Chen, Mahlet G. Tadesse and Marina Vannucci1 Rice University, Moffitt Cancer Center, Georgetown University and Rice University The vast amount of biological knowledge accumulated over the years has allowed researchers to identify various biochemical interac- tions and define different families of pathways. There is an increased interest in identifying pathways and pathway elements involved in particular biological processes. Drug discovery efforts, for example, are focused on identifying biomarkers as well as pathways related to a disease. We propose a Bayesian model that addresses this ques- tion by incorporating information on pathways and gene networks in the analysis of DNA microarray data. Such information is used to define pathway summaries, specify prior distributions, and struc- ture the MCMC moves to fit the model. We illustrate the method with an application to gene expression data with censored survival outcomes. In addition to identifying markers that would have been missed otherwise and improving prediction accuracy, the integration of existing biological knowledge into the analysis provides a better understanding of underlying molecular processes. 1. Introduction. DNA microarrays have been used successfully to iden- tify gene expression signatures characteristic of disease subtypes [Golub et al. (1999)] or distinct outcomes to therapy [Shipp et al. (2002)]. Many statistical methods have been developed to select genes for disease diagnosis, prognosis and therapeutic targets. -
Mir-17-92 Fine-Tunes MYC Expression and Function to Ensure
ARTICLE Received 31 Mar 2015 | Accepted 22 Sep 2015 | Published 10 Nov 2015 DOI: 10.1038/ncomms9725 OPEN miR-17-92 fine-tunes MYC expression and function to ensure optimal B cell lymphoma growth Marija Mihailovich1, Michael Bremang1, Valeria Spadotto1, Daniele Musiani1, Elena Vitale1, Gabriele Varano2,w, Federico Zambelli3, Francesco M. Mancuso1,w, David A. Cairns1,w, Giulio Pavesi3, Stefano Casola2 & Tiziana Bonaldi1 The synergism between c-MYC and miR-17-19b, a truncated version of the miR-17-92 cluster, is well-documented during tumor initiation. However, little is known about miR-17-19b function in established cancers. Here we investigate the role of miR-17-19b in c-MYC-driven lymphomas by integrating SILAC-based quantitative proteomics, transcriptomics and 30 untranslated region (UTR) analysis upon miR-17-19b overexpression. We identify over one hundred miR-17-19b targets, of which 40% are co-regulated by c-MYC. Downregulation of a new miR-17/20 target, checkpoint kinase 2 (Chek2), increases the recruitment of HuR to c- MYC transcripts, resulting in the inhibition of c-MYC translation and thus interfering with in vivo tumor growth. Hence, in established lymphomas, miR-17-19b fine-tunes c-MYC activity through a tight control of its function and expression, ultimately ensuring cancer cell homeostasis. Our data highlight the plasticity of miRNA function, reflecting changes in the mRNA landscape and 30 UTR shortening at different stages of tumorigenesis. 1 Department of Experimental Oncology, European Institute of Oncology, Via Adamello 16, Milan 20139, Italy. 2 Units of Genetics of B cells and lymphomas, IFOM, FIRC Institute of Molecular Oncology Foundation, Milan 20139, Italy. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
NOTCH1 Gene Notch 1
NOTCH1 gene notch 1 Normal Function The NOTCH1 gene provides instructions for making a protein called Notch1, a member of the Notch family of receptors. Receptor proteins have specific sites into which certain other proteins, called ligands, fit like keys into locks. Attachment of a ligand to the Notch1 receptor sends signals that are important for normal development of many tissues throughout the body, both before birth and after. Notch1 signaling helps determine the specialization of cells into certain cell types that perform particular functions in the body (cell fate determination). It also plays a role in cell growth and division (proliferation), maturation (differentiation), and self-destruction (apoptosis). The protein produced from the NOTCH1 gene has such diverse functions that the gene is considered both an oncogene and a tumor suppressor. Oncogenes typically promote cell proliferation or survival, and when mutated, they have the potential to cause normal cells to become cancerous. In contrast, tumor suppressors keep cells from growing and dividing too fast or in an uncontrolled way, preventing the development of cancer; mutations that impair tumor suppressors can lead to cancer development. Health Conditions Related to Genetic Changes Adams-Oliver syndrome At least 15 mutations in the NOTCH1 gene have been found to cause Adams-Oliver syndrome, a condition characterized by areas of missing skin (aplasia cutis congenita), usually on the scalp, and malformations of the hands and feet. These mutations are usually inherited and are present in every cell of the body. Some of the NOTCH1 gene mutations involved in Adams-Oliver syndrome lead to production of an abnormally short protein that is likely broken down quickly, causing a shortage of Notch1. -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
Genome-Wide DNA Methylation Analysis Reveals Molecular Subtypes of Pancreatic Cancer
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 17), pp: 28990-29012 Research Paper Genome-wide DNA methylation analysis reveals molecular subtypes of pancreatic cancer Nitish Kumar Mishra1 and Chittibabu Guda1,2,3,4 1Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA 2Bioinformatics and Systems Biology Core, University of Nebraska Medical Center, Omaha, NE, 68198, USA 3Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA 4Fred and Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA Correspondence to: Chittibabu Guda, email: [email protected] Keywords: TCGA, pancreatic cancer, differential methylation, integrative analysis, molecular subtypes Received: October 20, 2016 Accepted: February 12, 2017 Published: March 07, 2017 Copyright: Mishra et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Pancreatic cancer (PC) is the fourth leading cause of cancer deaths in the United States with a five-year patient survival rate of only 6%. Early detection and treatment of this disease is hampered due to lack of reliable diagnostic and prognostic markers. Recent studies have shown that dynamic changes in the global DNA methylation and gene expression patterns play key roles in the PC development; hence, provide valuable insights for better understanding the initiation and progression of PC. In the current study, we used DNA methylation, gene expression, copy number, mutational and clinical data from pancreatic patients.