In Silico APC/C Substrate Discovery Reveals Cell Cycle Degradation of Chromatin Regulators 3 Including UHRF1 4
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Trichoplein Controls Microtubule Anchoring at the Centrosome by Binding to Odf2 and Ninein
Short Report 857 Trichoplein controls microtubule anchoring at the centrosome by binding to Odf2 and ninein Miho Ibi1,*, Peng Zou1,*, Akihito Inoko1,*, Takashi Shiromizu1, Makoto Matsuyama1,2, Yuko Hayashi1, Masato Enomoto1,3, Daisuke Mori4, Shinji Hirotsune4, Tohru Kiyono5, Sachiko Tsukita6, Hidemasa Goto1,3 and Masaki Inagaki1,3,‡ 1Division of Biochemistry, Aichi Cancer Center Research Institute, Chikusa-ku, Nagoya 464-8681, Japan 2The Foundation for Promotion of Cancer Research, Chuo-ku, Tokyo 104-0045, Japan 3Department of Cellular Oncology, Graduate School of Medicine, Nagoya University, Showa-ku, Nagoya 466-8550, Japan 4Department of Genetic Disease Research, Osaka City University Graduate School of Medicine, Osaka 545-8586, Japan 5Virology Division, National Cancer Center Research Institute, Chuo-ku, Tokyo 104-0045, Japan 6Laboratory of Biological Science, Graduate School of Frontier Biosciences/Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan *These authors contributed equally to this work ‡Author for correspondence ([email protected]) Accepted 27 October 2010 Journal of Cell Science 124, 857-864 © 2011. Published by The Company of Biologists Ltd doi:10.1242/jcs.075705 Summary The keratin cytoskeleton performs several functions in epithelial cells and provides regulated interaction sites for scaffold proteins, including trichoplein. Previously, we found that trichoplein was localized on keratin intermediate filaments and desmosomes in well- differentiated, non-dividing epithelia. Here, we report that trichoplein is widely expressed and has a major function in the correct localization of the centrosomal protein ninein in epithelial and non-epithelial cells. Immunocytochemical analysis also revealed that this protein is concentrated at the subdistal to medial zone of both mother and daughter centrioles. -
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. -
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. -
ODF2) Is a Self-Interacting Centrosomal Protein with Affinity for Microtubules
Research Article 4643 Outer dense fibre protein 2 (ODF2) is a self-interacting centrosomal protein with affinity for microtubules Fatima F. Donkor1, Maren Mönnich1, Eva Czirr1, Thomas Hollemann2 and Sigrid Hoyer-Fender1,* Göttinger Zentrum für Molekulare Biowissenschaften (GZMB), 1Entwicklungsbiologie und 2Entwicklungsbiochemie, Georg-August-Universität Göttingen, Justus-von-Liebig-Weg 11, 37077 Göttingen, Germany *Author for correspondence (e-mail: [email protected]) Accepted 5 May 2004 Journal of Cell Science 117, 4643-4651 Published by The Company of Biologists 2004 doi:10.1242/jcs.01303 Summary Outer dense fibre protein 2 (ODF2) is a major protein of By cytological investigation of transfected mammalian cells sperm tail outer dense fibres which are prominent sperm expressing ODF2-GFP fusion proteins and in vitro tail-specific cytoskeletal structures. Moreover, ODF2 was coprecipitation assays we could demonstrate that ODF2 is also identified as a widespread component of the a self-interacting protein that forms a fibrillar structure centrosomal scaffold and was found to associate partially linked to the microtubule network. Microtubule preferentially with the appendages of the mother centriole cosedimentation and coprecipitation assays indicated [Nakagawa, Y., Yamane, Y., Okanoue, T., Tsukita, S. and ODF2 as a microtubule-associated protein. However, we Tsukita, S. (2001) Mol. Biol. Cell 12, 1687-1697]. Secondary could not demonstrate a direct interaction of ODF2 with structure predictions indicated ODF2 as an overall coiled- tubulin, suggesting that binding of endogenous ODF2 to the coil protein with a putative fibre forming capacity. To axonemal as well as to centrosomal microtubules may be investigate its potential functions in generating the mediated by, as yet, unknown proteins. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Role of Phytochemicals in Colon Cancer Prevention: a Nutrigenomics Approach
Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Marjan J van Erk Promotor: Prof. Dr. P.J. van Bladeren Hoogleraar in de Toxicokinetiek en Biotransformatie Wageningen Universiteit Co-promotoren: Dr. Ir. J.M.M.J.G. Aarts Universitair Docent, Sectie Toxicologie Wageningen Universiteit Dr. Ir. B. van Ommen Senior Research Fellow Nutritional Systems Biology TNO Voeding, Zeist Promotiecommissie: Prof. Dr. P. Dolara University of Florence, Italy Prof. Dr. J.A.M. Leunissen Wageningen Universiteit Prof. Dr. J.C. Mathers University of Newcastle, United Kingdom Prof. Dr. M. Müller Wageningen Universiteit Dit onderzoek is uitgevoerd binnen de onderzoekschool VLAG Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Marjan Jolanda van Erk Proefschrift ter verkrijging van graad van doctor op gezag van de rector magnificus van Wageningen Universiteit, Prof.Dr.Ir. L. Speelman, in het openbaar te verdedigen op vrijdag 1 oktober 2004 des namiddags te vier uur in de Aula Title Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Author Marjan Jolanda van Erk Thesis Wageningen University, Wageningen, the Netherlands (2004) with abstract, with references, with summary in Dutch ISBN 90-8504-085-X ABSTRACT Role of phytochemicals in colon cancer prevention: a nutrigenomics approach Specific food compounds, especially from fruits and vegetables, may protect against development of colon cancer. In this thesis effects and mechanisms of various phytochemicals in relation to colon cancer prevention were studied through application of large-scale gene expression profiling. Expression measurement of thousands of genes can yield a more complete and in-depth insight into the mode of action of the compounds. -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Human Genome Center Laboratory of Genome Database Laboratory of Sequence Analysis ゲノムデータベース分野 シークエンスデータ情報処理分野
136 Human Genome Center Laboratory of Genome Database Laboratory of Sequence Analysis ゲノムデータベース分野 シークエンスデータ情報処理分野 Professor Minoru Kanehisa, Ph.D. 教授(委嘱) 理学博士 金 久 實 Research Associate Toshiaki Katayama, M.Sc. 助 手 理学修士 片山俊明 Research Associate Shuichi Kawashima, M.Sc. 助 手 理学修士 川島秀一 Lecturer Tetsuo Shibuya, Ph.D. 講 師 理学博士 渋谷哲朗 Research Associate Michihiro Araki, Ph.D. 助 手 薬学博士 荒木通啓 Owing to continuous developments of high-throughput experimental technologies, ever-increasing amounts of data are being generated in functional genomics and proteomics. We are developing a new generation of databases and computational technologies, beyond the traditional genome databases and sequence analysis tools, for making full use of such large-scale data in biomedical applications, espe- cially for elucidating cellular functions as behaviors of complex interaction systems. 1. Comprehensive repository for community We have been developing the server based on genome annotation open source software including BioRuby, BioPerl, BioDAS and GMOD/GBrowse to make Toshiaki Katayama, Mari Watanabe and Mi- the system consistent with the existing open noru Kanehisa standards. The contents of the KEGG DAS data- base can be accessed graphically in a web KEGG DAS is an advanced genome database browser using GBrowse GUI (graphical user in- system providing DAS (Distributed Annotation terface) and also programatically by the DAS System) service for all organisms in the protocol. The DAS, which is an XML over HTTP GENOME and GENES databases in KEGG data retrieving protocol, enables the user to (Kyoto Encyclopedia of Genes and Genomes). write various kinds of automated programs for Currently, KEGG DAS contains 6,943,951 anno- analyzing genome sequences and annotations. -
Genome-Wide Screen of Cell-Cycle Regulators in Normal and Tumor Cells
bioRxiv preprint doi: https://doi.org/10.1101/060350; this version posted June 23, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion Maria Sokolova1, Mikko Turunen1, Oliver Mortusewicz3, Teemu Kivioja1, Patrick Herr3, Anna Vähärautio1, Mikael Björklund1, Minna Taipale2, Thomas Helleday3 and Jussi Taipale1,2,* 1Genome-Scale Biology Program, P.O. Box 63, FI-00014 University of Helsinki, Finland. 2Science for Life laboratory, Department of Biosciences and Nutrition, Karolinska Institutet, SE- 141 83 Stockholm, Sweden. 3Science for Life laboratory, Division of Translational Medicine and Chemical Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, S-171 21 Stockholm, Sweden To identify cell cycle regulators that enable cancer cells to replicate DNA and divide in an unrestricted manner, we performed a parallel genome-wide RNAi screen in normal and cancer cell lines. In addition to many shared regulators, we found that tumor and normal cells are differentially sensitive to loss of the histone genes transcriptional regulator CASP8AP2. In cancer cells, loss of CASP8AP2 leads to a failure to synthesize sufficient amount of histones in the S-phase of the cell cycle, resulting in slowing of individual replication forks. Despite this, DNA replication fails to arrest, and tumor cells progress in an elongated S-phase that lasts several days, finally resulting in death of most of the affected cells. -
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. -
Supplementary Data
Supplementary Fig. 1 A B Responder_Xenograft_ Responder_Xenograft_ NON- NON- Lu7336, Vehicle vs Lu7466, Vehicle vs Responder_Xenograft_ Responder_Xenograft_ Sagopilone, Welch- Sagopilone, Welch- Lu7187, Vehicle vs Lu7406, Vehicle vs Test: 638 Test: 600 Sagopilone, Welch- Sagopilone, Welch- Test: 468 Test: 482 Responder_Xenograft_ NON- Lu7860, Vehicle vs Responder_Xenograft_ Sagopilone, Welch - Lu7558, Vehicle vs Test: 605 Sagopilone, Welch- Test: 333 Supplementary Fig. 2 Supplementary Fig. 3 Supplementary Figure S1. Venn diagrams comparing probe sets regulated by Sagopilone treatment (10mg/kg for 24h) between individual models (Welsh Test ellipse p-value<0.001 or 5-fold change). A Sagopilone responder models, B Sagopilone non-responder models. Supplementary Figure S2. Pathway analysis of genes regulated by Sagopilone treatment in responder xenograft models 24h after Sagopilone treatment by GeneGo Metacore; the most significant pathway map representing cell cycle/spindle assembly and chromosome separation is shown, genes upregulated by Sagopilone treatment are marked with red thermometers. Supplementary Figure S3. GeneGo Metacore pathway analysis of genes differentially expressed between Sagopilone Responder and Non-Responder models displaying –log(p-Values) of most significant pathway maps. Supplementary Tables Supplementary Table 1. Response and activity in 22 non-small-cell lung cancer (NSCLC) xenograft models after treatment with Sagopilone and other cytotoxic agents commonly used in the management of NSCLC Tumor Model Response type