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Environmental Influences on Endothelial Gene Expression
ENDOTHELIAL CELL GENE EXPRESSION John Matthew Jeff Herbert Supervisors: Prof. Roy Bicknell and Dr. Victoria Heath PhD thesis University of Birmingham August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Tumour angiogenesis is a vital process in the pathology of tumour development and metastasis. Targeting markers of tumour endothelium provide a means of targeted destruction of a tumours oxygen and nutrient supply via destruction of tumour vasculature, which in turn ultimately leads to beneficial consequences to patients. Although current anti -angiogenic and vascular targeting strategies help patients, more potently in combination with chemo therapy, there is still a need for more tumour endothelial marker discoveries as current treatments have cardiovascular and other side effects. For the first time, the analyses of in-vivo biotinylation of an embryonic system is performed to obtain putative vascular targets. Also for the first time, deep sequencing is applied to freshly isolated tumour and normal endothelial cells from lung, colon and bladder tissues for the identification of pan-vascular-targets. Integration of the proteomic, deep sequencing, public cDNA libraries and microarrays, delivers 5,892 putative vascular targets to the science community. -
Histones: Controlling Tumor Signaling Circuitry Manoela D
genesi ino s & rc a M C u t f a o g l Journal of Carcinogenesis & e a n n e Martins and Castilho, J Carcinogene Mutagene 2013, S5 r s u i s o DOI: 4172/2157-2518.S5-001 J Mutagenesis ISSN: 2157-2518 ReviewResearch Article Article OpenOpen Access Access Histones: Controlling Tumor Signaling Circuitry Manoela D. Martins1 and Rogerio M. Castilho2* 1Department of Oral Pathology, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil 2Laboratory of Epithelial Biology, Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, MI, USA Abstract Epigenetic modifications constitute the next frontier in tumor biology research. Post-translation modification of histones dynamically influences gene expression independent of alterations to the DNA sequence. These mechanisms are often mediated by histone linkers or by proteins associated with the recruitment of DNA-binding proteins, HDAC I and II interacting proteins and transcriptional activators, coactivators or corepressors. Early evidence suggested that histones and their modifiers are involved in sophisticated processes that modulate tumor behavior and cellular phenotype. In this review, we discuss how recent discoveries about chromatin modifications, particularly histone acetylation, are shaping our knowledge of cell biology and our understanding of the molecular circuitry governing tumor progression and consider whether recent insights may extend to novel therapeutic approaches. Furthermore, we discuss the latest oncogenomic findings in Head and Neck Squamous Cell Carcinoma (HNSCC) from studies using Next Generation Sequencing (NGS) technology and highlight the impact of mutations identified in histones and their modifiers. Keywords: H3; H4; Oral cancer; Whole genome sequencing, Genetic directly influence chromatin DNA packaging, resulting in a code; Histone modifications; Acetylation; Chromatin compaction decondensed structure and enhanced interactions with transcription factors. -
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. -
Applying Machine Learning to Breast Cancer Gene Expression Data to Predict Survival Likelihood Pegah Tavangar Thesis Submitted T
Applying Machine Learning to Breast Cancer Gene Expression Data to Predict Survival Likelihood Pegah Tavangar Thesis submitted to the University of Ottawa in partial Fulfillment of the requirements for the Master of Science in Chemistry and Biomolecular Sciences Department of Chemistry and Biomolecular Sciences Faculty of Science University of Ottawa © Pegah Tavangar, Ottawa, Canada, 2020 Abstract Analyzing the expression level of thousands of genes will provide additional information beneficial in improving cancer therapy or synthesizing a new drug. In this project, the expression of 48807 genes from primary human breast tumors cells was analyzed. Humans cannot make sense of such a large volume of gene expression data from each person. Therefore, we used Machine Learning as an automated system that can learn from the data and be able to predict results from the data. This project presents the use of Machine Learning to predict the likelihood of survival in breast cancer patients using gene expression profiling. Machine Learning techniques, such as Logistic Regression, Support Vector Machines, Random Forest, and different Feature Selection techniques were used to find essential genes that lead to breast cancer or help a patient to live longer. This project describes the evaluation of different Machine Learning algorithms to classify breast cancer tumors into two groups of high and low survival. ii Acknowledgments I would like to thank Dr. Jonathan Lee for providing me the opportunity to work with him on an exciting project. I would like to recognize the invaluable counsel that you all provided during my research. It was my honor to work with some other professors in the Faculty of Medicine, such as Dr. -
Molecular Phylogeny of Mobatviruses (Hantaviridae) in Myanmar and Vietnam
viruses Article Molecular Phylogeny of Mobatviruses (Hantaviridae) in Myanmar and Vietnam Satoru Arai 1, Fuka Kikuchi 1,2, Saw Bawm 3 , Nguyễn Trường Sơn 4,5, Kyaw San Lin 6, Vương Tân Tú 4,5, Keita Aoki 1,7, Kimiyuki Tsuchiya 8, Keiko Tanaka-Taya 1, Shigeru Morikawa 9, Kazunori Oishi 1 and Richard Yanagihara 10,* 1 Infectious Disease Surveillance Center, National Institute of Infectious Diseases, Tokyo 162-8640, Japan; [email protected] (S.A.); [email protected] (F.K.); [email protected] (K.A.); [email protected] (K.T.-T.); [email protected] (K.O.) 2 Department of Chemistry, Faculty of Science, Tokyo University of Science, Tokyo 162-8601, Japan 3 Department of Pharmacology and Parasitology, University of Veterinary Science, Yezin, Nay Pyi Taw 15013, Myanmar; [email protected] 4 Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology, Hanoi, Vietnam; [email protected] (N.T.S.); [email protected] (V.T.T.) 5 Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Hanoi, Vietnam 6 Department of Aquaculture and Aquatic Disease, University of Veterinary Science, Yezin, Nay Pyi Taw 15013, Myanmar; [email protected] 7 Department of Liberal Arts, Faculty of Science, Tokyo University of Science, Tokyo 162-8601, Japan 8 Laboratory of Bioresources, Applied Biology Co., Ltd., Tokyo 107-0062, Japan; [email protected] 9 Department of Veterinary Science, National Institute of Infectious Diseases, Tokyo 162-8640, Japan; [email protected] 10 Pacific Center for Emerging Infectious Diseases Research, John A. -
Product Datasheet INAVA Overexpression
Product Datasheet INAVA Overexpression Lysate NBP2-06832 Unit Size: 0.1 mg Store at -80C. Avoid freeze-thaw cycles. Protocols, Publications, Related Products, Reviews, Research Tools and Images at: www.novusbio.com/NBP2-06832 Updated 3/17/2020 v.20.1 Earn rewards for product reviews and publications. Submit a publication at www.novusbio.com/publications Submit a review at www.novusbio.com/reviews/destination/NBP2-06832 Page 1 of 2 v.20.1 Updated 3/17/2020 NBP2-06832 INAVA Overexpression Lysate Product Information Unit Size 0.1 mg Concentration The exact concentration of the protein of interest cannot be determined for overexpression lysates. Please contact technical support for more information. Storage Store at -80C. Avoid freeze-thaw cycles. Buffer RIPA buffer Target Molecular Weight 72.7 kDa Product Description Description Transient overexpression lysate of chromosome 1 open reading frame 106 (C1orf106), transcript variant 1 The lysate was created in HEK293T cells, using Plasmid ID RC215863 and based on accession number NM_018265. The protein contains a C-MYC/DDK Tag. Gene ID 55765 Gene Symbol C1ORF106 Species Human Notes HEK293T cells in 10-cm dishes were transiently transfected with a non-lipid polymer transfection reagent specially designed and manufactured for large volume DNA transfection. Transfected cells were cultured for 48hrs before collection. The cells were lysed in modified RIPA buffer (25mM Tris-HCl pH7.6, 150mM NaCl, 1% NP-40, 1mM EDTA, 1xProteinase inhibitor cocktail mix, 1mM PMSF and 1mM Na3VO4, and then centrifuged to clarify the lysate. Protein concentration was measured by BCA protein assay kit.This product is manufactured by and sold under license from OriGene Technologies and its use is limited solely for research purposes. -
Long Non-Coding RNA00844 Inhibits MAPK Signaling to Suppress the Progression of Hepatocellular Carcinoma by Targeting AZGP1
1 Original Article Page 1 of 15 Long non-coding RNA00844 inhibits MAPK signaling to suppress the progression of hepatocellular carcinoma by targeting AZGP1 Bingyi Lin1,2#, Hui He2#, Qijun Zhang2, Jie Zhang3, Liu Xu3, Lin Zhou1,2, Shusen Zheng1,2, Liming Wu1 1Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China; 2Key Lab of Combined Multi-Organ Transplantation, Ministry of Public Health, Hangzhou, China; 3Department of Hepatobiliary Surgery, First Hospital of Jiaxing, Jiaxing University, China Contributions: (I) Conception and design: L Wu, S Zheng; (II) Administrative support: L Wu, S Zheng; (III) Provision of study materials or patients: B Lin, H He; (IV) Collection and assembly of data: L Xu, L Zhou; (V) Data analysis and interpretation: Q Zhang, J Zhang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors. #These authors contributed equally to this work. Correspondence to: Liming Wu; Shusen Zheng. Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Hangzhou, China. Email: [email protected]; [email protected]. Background: Previous data have confirmed that disordered long non-coding ribonucleic acid (lncRNA) expression is evident in many cancers and is correlated with tumor progression. The present study aimed to investigate the function of long non-coding RNA00844 (LINC00844) in hepatocellular carcinoma (HCC). Methods: The expression levels of target genes were detected with real-time polymerase chain reaction (PCR) and western blotting. The biologic function of HCC cells was determined with cell viability assay, colony formation assay, cell cycle analysis, apoptosis detection, and Transwell migration assay in vitro. -
Gene-Expression Signatures of Nasal Polyps Associated with Chronic
Gene-expression signatures of nasal polyps associated with chronic rhinosinusitis and aspirin-sensitive asthma Michael Platta, Ralph Metsonb and Konstantina Stankovicb,c,d aDepartment of Otolaryngology, Head and Neck Purpose of review Surgery, Boston University, bDepartment of Otology and Laryngology, Harvard Medical School, The purpose of this review is to highlight recent advances in gene-expression profiling of cDepartment of Otolaryngology and dEaton Peabody nasal polyps in patients with chronic rhinosinusitis and aspirin-sensitive asthma. Laboratory, Massachusetts Eye and Ear Infirmary, Recent findings Boston, Massachusetts, USA Gene-expression profiling has allowed simultaneous interrogation of thousands of genes, Correspondence to Konstantina Stankovic, MD, PhD, Massachusetts Eye and Ear Infirmary, 243 Charles St., including the entire genome, to better understand distinct biological and clinical Boston, MA 02114, USA phenotypes associated with nasal polyps. The genes with altered expression in nasal Tel: +1 617 523 7900; e-mail: [email protected] polyps are involved in many cellular processes, including growth and development, immune functions, and signal transduction. The wide-ranging and typically Current Opinion in Allergy and Clinical Immunology 2009, 9:23–28 nonoverlapping results reported in the published studies reflect methodological and demographic differences. The identified genes present possible novel therapeutic targets for nasal polyps associated with chronic rhinosinusitis and aspirin-sensitive asthma. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Ebola, KFD and Bats
Journal of Communicable Diseases Volume 51, Issue 4 - 2019, Pg. No. 69-72 Peer Reviewed & Open Access Journal Review Article Ebola, KFD and Bats PK Rajagopalan Former Director, Vector Control Research Center, Indian Council of Medical Research and formerly: WHO STAC Member, WHO Consultant and WHO Expert Committee Member on Malaria, Filariasis and Vector Control. DOI: https://doi.org/10.24321/0019.5138.201939 INFO ABSTRACT E-mail Id: The headline in the Times of India, dated July 23, 2019, “India Needs [email protected] to Prepare for Ebola, Other Viral Diseases” was frightening. It quotes Orcid Id: an article in Indian Journal of Medical Research, which states “Bats https://orcid.org/0000-0002-8324-3096 are thought to be the natural reservoirs of this virus…..India is home How to cite this article: to a great diversity of bat species….” But Ebola has not yet come to Rajagopalan PK. Ebola, KFD and Bats. J Commun India, though there is every possibility. But what about Kyasanur Forest Dis 2019; 51(4): 69-72. Disease (KFD), which is already in India and which has links with an insectivorous bat? Recognized in 1957, the virus was isolated in 1969 Date of Submission: 2019-08-22 over fifty years ago from four insectivorous bats, Rhinolophus rouxii, Date of Acceptance: 2019-12-23 and from Ornithodoros ticks collected from the roosting habitat of these bats, (Ind. J. Med. Res, 1969, 905-8). KFD came as a big enough epidemic in 1957, but later petered out and then sporadically appeared throughout the Western Ghat region, from Kerala to Gujarat and an epidemic resurfacing in the oldest theater in January 2019! There were many publications in India about investigations done in these areas, but none of them mentioned anything about bats. -
Index of Handbook of the Mammals of the World. Vol. 9. Bats
Index of Handbook of the Mammals of the World. Vol. 9. Bats A agnella, Kerivoula 901 Anchieta’s Bat 814 aquilus, Glischropus 763 Aba Leaf-nosed Bat 247 aladdin, Pipistrellus pipistrellus 771 Anchieta’s Broad-faced Fruit Bat 94 aquilus, Platyrrhinus 567 Aba Roundleaf Bat 247 alascensis, Myotis lucifugus 927 Anchieta’s Pipistrelle 814 Arabian Barbastelle 861 abae, Hipposideros 247 alaschanicus, Hypsugo 810 anchietae, Plerotes 94 Arabian Horseshoe Bat 296 abae, Rhinolophus fumigatus 290 Alashanian Pipistrelle 810 ancricola, Myotis 957 Arabian Mouse-tailed Bat 164, 170, 176 abbotti, Myotis hasseltii 970 alba, Ectophylla 466, 480, 569 Andaman Horseshoe Bat 314 Arabian Pipistrelle 810 abditum, Megaderma spasma 191 albatus, Myopterus daubentonii 663 Andaman Intermediate Horseshoe Arabian Trident Bat 229 Abo Bat 725, 832 Alberico’s Broad-nosed Bat 565 Bat 321 Arabian Trident Leaf-nosed Bat 229 Abo Butterfly Bat 725, 832 albericoi, Platyrrhinus 565 andamanensis, Rhinolophus 321 arabica, Asellia 229 abramus, Pipistrellus 777 albescens, Myotis 940 Andean Fruit Bat 547 arabicus, Hypsugo 810 abrasus, Cynomops 604, 640 albicollis, Megaerops 64 Andersen’s Bare-backed Fruit Bat 109 arabicus, Rousettus aegyptiacus 87 Abruzzi’s Wrinkle-lipped Bat 645 albipinnis, Taphozous longimanus 353 Andersen’s Flying Fox 158 arabium, Rhinopoma cystops 176 Abyssinian Horseshoe Bat 290 albiventer, Nyctimene 36, 118 Andersen’s Fruit-eating Bat 578 Arafura Large-footed Bat 969 Acerodon albiventris, Noctilio 405, 411 Andersen’s Leaf-nosed Bat 254 Arata Yellow-shouldered Bat 543 Sulawesi 134 albofuscus, Scotoecus 762 Andersen’s Little Fruit-eating Bat 578 Arata-Thomas Yellow-shouldered Talaud 134 alboguttata, Glauconycteris 833 Andersen’s Naked-backed Fruit Bat 109 Bat 543 Acerodon 134 albus, Diclidurus 339, 367 Andersen’s Roundleaf Bat 254 aratathomasi, Sturnira 543 Acerodon mackloti (see A. -
Investigating a Microrna-499-5P Network During Cardiac Development
Investigating a microRNA-499-5p network during cardiac development Thesis for a PhD degree Submitted to University of East Anglia by Johannes Gottfried Wittig This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with the author and that use of any information derived therefrom must be in accordance with current UK Copyright Law. In addition, any quotation or extract must include full attribution. Principal Investigator: Prof. Andrea Münsterberg Submission Date: 10.05.2019 Declaration of own work Declaration of own work I, Johannes Wittig, confirm that the work for the report with the title: “Investigating a microRNA-499-5p network during cardiac development” was undertaken by myself and that no help was provided from other sources than those allowed. All sections of the report that use quotes or describe an argument or development investigated by other scientist have been referenced, including all secondary literature used, to show that this material has been adopted to support my report. Place/Date Signature II Acknowledgements Acknowledgements I am very happy that I had the chance to be part of the Münsterberg-lab for my PhD research, therefore I would very much like to thank Andrea Münsterberg for offering me this great position in her lab. I especially want to thank her for her patience with me in all the moments where I was impatient and complained about slow progress. I also would like to say thank you for the incredible freedom I had during my PhD work and the support she gave me in the lab but also the understanding for all my non-science related activities.