Data Supporting the Structural and Functional Characterization of Thrombin‐Activatable Fibrinolysis Inhibitor in Breast Cancer
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Xio Is a Component of the Drosophila Sex Determination Pathway and RNA N6-Methyladenosine Methyltransferase Complex
Xio is a component of the Drosophila sex determination pathway and RNA N6-methyladenosine methyltransferase complex Jian Guoa,b, Hong-Wen Tangc, Jing Lia,b, Norbert Perrimonc,d,1, and Dong Yana,1 aKey Laboratory of Insect Developmental and Evolutionary Biology, Chinese Academy of Sciences Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, 200032 Shanghai, China; bUniversity of Chinese Academy of Sciences, 100049 Beijing, China; cDepartment of Genetics, Harvard Medical School, Boston, MA 02115; and dHoward Hughes Medical Institute, Harvard Medical School, Boston, MA 02115 Contributed by Norbert Perrimon, February 14, 2018 (sent for review December 6, 2017; reviewed by James W. Erickson and Helen Salz) N6-methyladenosine (m6A), the most abundant chemical modifica- reader YT521-B, are required for Drosophila sex determination 6 tion in eukaryotic mRNA, has been implicated in Drosophila sex and Sxl splicing regulation. Further, m A modification sites have determination by modifying Sex-lethal (Sxl) pre-mRNA and facili- been mapped to Sxl introns, thus facilitating Sxl pre-mRNA al- 6 tating its alternative splicing. Here, we identify a sex determina- ternative splicing. Importantly, m A methylation is required in CG7358 xio human dosage compensation by modifying the long noncoding tion gene, , and rename it according to its loss-of- 6 function female-to-male transformation phenotype. xio encodes RNA XIST,suggestingthatmA-mediated gene regulation is an ancient -
Bioinformatics Analyses of Genomic Imprinting
Bioinformatics Analyses of Genomic Imprinting Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich-Technischen Fakultät III Chemie, Pharmazie, Bio- und Werkstoffwissenschaften der Universität des Saarlandes von Barbara Hutter Saarbrücken 2009 Tag des Kolloquiums: 08.12.2009 Dekan: Prof. Dr.-Ing. Stefan Diebels Berichterstatter: Prof. Dr. Volkhard Helms Priv.-Doz. Dr. Martina Paulsen Vorsitz: Prof. Dr. Jörn Walter Akad. Mitarbeiter: Dr. Tihamér Geyer Table of contents Summary________________________________________________________________ I Zusammenfassung ________________________________________________________ I Acknowledgements _______________________________________________________II Abbreviations ___________________________________________________________ III Chapter 1 – Introduction __________________________________________________ 1 1.1 Important terms and concepts related to genomic imprinting __________________________ 2 1.2 CpG islands as regulatory elements ______________________________________________ 3 1.3 Differentially methylated regions and imprinting clusters_____________________________ 6 1.4 Reading the imprint __________________________________________________________ 8 1.5 Chromatin marks at imprinted regions___________________________________________ 10 1.6 Roles of repetitive elements ___________________________________________________ 12 1.7 Functional implications of imprinted genes _______________________________________ 14 1.8 Evolution and parental conflict ________________________________________________ -
Mutational Landscape Differences Between Young-Onset and Older-Onset Breast Cancer Patients Nicole E
Mealey et al. BMC Cancer (2020) 20:212 https://doi.org/10.1186/s12885-020-6684-z RESEARCH ARTICLE Open Access Mutational landscape differences between young-onset and older-onset breast cancer patients Nicole E. Mealey1 , Dylan E. O’Sullivan2 , Joy Pader3 , Yibing Ruan3 , Edwin Wang4 , May Lynn Quan1,5,6 and Darren R. Brenner1,3,5* Abstract Background: The incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for somatic mutations. This study investigated genomic differences between young- and older-onset breast tumours. Methods: In this study we characterized the mutational landscape of 89 young-onset breast tumours (≤40 years) and examined differences with 949 older-onset tumours (> 40 years) using data from The Cancer Genome Atlas. We examined mutated genes, mutational load, and types of mutations. We used complementary R packages “deconstructSigs” and “SomaticSignatures” to extract mutational signatures. A recursively partitioned mixture model was used to identify whether combinations of mutational signatures were related to age of onset. Results: Older patients had a higher proportion of mutations in PIK3CA, CDH1, and MAP3K1 genes, while young- onset patients had a higher proportion of mutations in GATA3 and CTNNB1. Mutational load was lower for young- onset tumours, and a higher proportion of these mutations were C > A mutations, but a lower proportion were C > T mutations compared to older-onset tumours. The most common mutational signatures identified in both age groups were signatures 1 and 3 from the COSMIC database. -
Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected]
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School July 2017 Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Pathology Commons Scholar Commons Citation Mohamed, Mai, "Role of Amylase in Ovarian Cancer" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6907 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Role of Amylase in Ovarian Cancer by Mai Mohamed A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Pathology and Cell Biology Morsani College of Medicine University of South Florida Major Professor: Patricia Kruk, Ph.D. Paula C. Bickford, Ph.D. Meera Nanjundan, Ph.D. Marzenna Wiranowska, Ph.D. Lauri Wright, Ph.D. Date of Approval: June 29, 2017 Keywords: ovarian cancer, amylase, computational analyses, glycocalyx, cellular invasion Copyright © 2017, Mai Mohamed Dedication This dissertation is dedicated to my parents, Ahmed and Fatma, who have always stressed the importance of education, and, throughout my education, have been my strongest source of encouragement and support. They always believed in me and I am eternally grateful to them. I would also like to thank my brothers, Mohamed and Hussien, and my sister, Mariam. I would also like to thank my husband, Ahmed. -
The New Melanoma: a Novel Model for Disease Progression
DISS. ETH NO. 17606 The new melanoma: A novel model for disease progression A dissertation submitted to SWISS FEDERAL INSTITUTE OF TECHNOLOGY ZÜRICH for the degree of DOCTOR OF SCIENCES presented by Natalie Schlegel Master of Science, Otago University (New Zealand) born on January 20th 1976 citizen of Zürich (ZH) accepted on the recommendation of Professor Sabine Werner, examinor Professor Reinhard Dummer, co-examinor Professor Josef Jiricny, co-examinor 2008 22 Table of Contents Abstract ...................................................................................................................................... 6 Résumé....................................................................................................................................... 8 Abbreviations ........................................................................................................................... 10 1. Introduction ...................................................................................................................... 13 1.1 Definition ................................................................................................................. 14 1.2 Clinical features........................................................................................................ 14 1.3 Pathological features and staging............................................................................. 16 1.3.2 Clark’s level of invasion and Breslow’s thickness........................................... 16 1.3.3 TNM staging ................................................................................................... -
Analysis of Diet-Induced Differential Methylation, Expression, And
www.nature.com/scientificreports OPEN Analysis of diet-induced diferential methylation, expression, and interactions of lncRNA and protein- Received: 2 March 2018 Accepted: 29 June 2018 coding genes in mouse liver Published: xx xx xxxx Jose P. Silva1 & Derek van Booven2 Long non-coding RNAs (lncRNAs) regulate expression of protein-coding genes in cis through chromatin modifcations including DNA methylation. Here we interrogated whether lncRNA genes may regulate transcription and methylation of their fanking or overlapping protein-coding genes in livers of mice exposed to a 12-week cholesterol-rich Western-style high fat diet (HFD) relative to a standard diet (STD). Deconvolution analysis of cell type-specifc marker gene expression suggested similar hepatic cell type composition in HFD and STD livers. RNA-seq and validation by nCounter technology revealed diferential expression of 14 lncRNA genes and 395 protein-coding genes enriched for functions in steroid/cholesterol synthesis, fatty acid metabolism, lipid localization, and circadian rhythm. While lncRNA and protein-coding genes were co-expressed in 53 lncRNA/protein-coding gene pairs, both were diferentially expressed only in 4 lncRNA/protein-coding gene pairs, none of which included protein- coding genes in overrepresented pathways. Furthermore, 5-methylcytosine DNA immunoprecipitation sequencing and targeted bisulfte sequencing revealed no diferential DNA methylation of genes in overrepresented pathways. These results suggest lncRNA/protein-coding gene interactions in cis play a minor role mediating hepatic expression of lipid metabolism/localization and circadian clock genes in response to chronic HFD feeding. More than 70% of the mammalian genome is transcribed as non-coding RNA (ncRNA) while only 1–2% of the mammalian genome is transcribed as protein-coding RNA1–3. -
Clinical Impact of Copy Number Variation Changes in Bladder Cancer Samples
EXPERIMENTAL AND THERAPEUTIC MEDICINE 22: 901, 2021 Clinical impact of copy number variation changes in bladder cancer samples VICTORIA SPASOVA1, BORIS MLADENOV2, SIMEON RANGELOV3, ZORA HAMMOUDEH1, DESISLAVA NESHEVA1, DIMITAR SERBEZOV1, RADA STANEVA1,4, SAVINA HADJIDEKOVA1,4, MIHAIL GANEV1, LUBOMIR BALABANSKI1,5, RADOSLAVA VAZHAROVA5,6, CHAVDAR SLAVOV3, DRAGA TONCHEVA1 and OLGA ANTONOVA1 1Department of Medical Genetics, Medical University‑Sofia, 1431 Sofia;2 Department of Urology, UMBALSM N.I. Pirogov, 1606 Sofia; 3Department of Urology, Tsaritsa Yoanna University Hospital, 1527 Sofia; 4Medical Genetics Laboratory, Nadezhda Women's Health Hospital, 1373 Sofia; 5Medical Genetics Laboratory, GARH Malinov, 1680 Sofia; 6Department of Biology, Medical Genetics and Microbiology, Faculty of Medicine, Sofia University St. Kliment Ohridski, 1407 Sofia, Bulgaria Received November 30, 2019; Accepted February 18, 2021 DOI: 10.3892/etm.2021.10333 Abstract. The aim of the present study was to detect copy uroepithelial tumours may lay a foundation for implementing number variations (CNVs) related to tumour progression and molecular CNV profiling of bladder tumours as part of a metastasis of urothelial carcinoma through whole‑genome routine progression risk estimation strategy, thus expanding scanning. A total of 30 bladder cancer samples staged from the personalized therapeutic approach. pTa to pT4 were included in the study. DNA was extracted from freshly frozen tissue via standard phenol‑chloroform extraction Introduction and CNV analysis was performed on two alternative platforms (CytoChip Oligo aCGH, 4x44K and Infinium OncoArray‑500K The most successful approach to treating a disease has BeadChip; Illumina, Inc.). Data were analysed with BlueFuse always been etiological therapy. In the case of bladder Multi software and Karyostudio, respectively. -
GSTT1 Copy Number Gain and ZNF Overexpression Are Predictors of Poor Response to Imatinib in Gastrointestinal Stromal Tumors
GSTT1 Copy Number Gain and ZNF Overexpression Are Predictors of Poor Response to Imatinib in Gastrointestinal Stromal Tumors Eui Jin Lee1¤☯, Guhyun Kang1,4☯, Shin Woo Kang1,5, Kee-Taek Jang1, Jeeyun Lee2, Joon Oh Park2, Cheol Keun Park1, Tae Sung Sohn3, Sung Kim3, Kyoung-Mee Kim1* 1 Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, 2 Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, 3 Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea, 4 Department of Pathology, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea, 5 Department of Mathematics, Korea University, Seoul, Korea Abstract Oncogenic mutations in gastrointestinal stromal tumors (GISTs) predict prognosis and therapeutic responses to imatinib. In wild-type GISTs, the tumor-initiating events are still unknown, and wild-type GISTs are resistant to imatinib therapy. We performed an association study between copy number alterations (CNAs) identified from array CGH and gene expression analyses results for four wild-type GISTs and an imatinib-resistant PDGFRA D842V mutant GIST, and compared the results to those obtained from 27 GISTs with KIT mutations. All wild-type GISTs had multiple CNAs, and CNAs in 1p and 22q that harbor the SDHB and GSTT1 genes, respectively, correlated well with expression levels of these genes. mRNA expression levels of all SDH gene subunits were significantly lower (P≤0.041), whereas mRNA expression levels of VEGF (P=0.025), IGF1R (P=0.026), and ZNFs (P<0.05) were significantly higher in GISTs with wild-type/PDGFRA D842V mutations than GISTs with KIT mutations. -
A Mouse Plasma Peptide Atlas As a Resource for Disease Proteomics
A mouse plasma peptide atlas as a resource for disease proteomics The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Zhang, Qing et al. (2008). A mouse plasma peptide atlas as a resource for disease proteomics. Genome biology 9:R93/1-10. As Published http://dx.doi.org/10.1186/gb-2008-9-6-r93 Publisher BioMed Central Ltd Version Final published version Citable link http://hdl.handle.net/1721.1/59306 Terms of Use Creative Commons Attribution Detailed Terms http://creativecommons.org/licenses/by/2.0 Open Access Method2008ZhangetVolume al. 9, Issue 6, Article R93 A mouse plasma peptide atlas as a resource for disease proteomics Qing Zhang*, Rajasree Menon†, Eric W Deutsch‡, Sharon J Pitteri*, Vitor M Faca*, Hong Wang*, Lisa F Newcomb*, Ronald A DePinho§¶, Nabeel Bardeesy¥, Daniela Dinulescu#, Kenneth E Hung¥, Raju Kucherlapati¥, Tyler Jacks**, Katerina Politi††, Ruedi Aebersold‡‡‡, Gilbert S Omenn†, David J States† and Samir M Hanash* Addresses: *Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. †Center for Computational Medicine and Biology, University of Michigan, Ann Arbor, MI 48109, USA. ‡Institute for Systems Biology, Seattle, WA 98103, USA. §Dana-Farber Cancer Institute, Harvard Cancer Center, Boston, MA 02115, USA. ¶Center for Applied Cancer Science, Belfer Institute for Innovative Cancer Science, Department of Medical Oncology, Medicine, Genetics, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02114, USA. ¥Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA. #Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. **Center for Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. -
Genomic Analysis of Follicular Dendritic Cell Sarcoma by Molecular
Modern Pathology (2017) 30, 1321–1334 © 2017 USCAP, Inc All rights reserved 0893-3952/17 $32.00 1321 Genomic analysis of follicular dendritic cell sarcoma by molecular inversion probe array reveals tumor suppressor-driven biology Erica F Andersen1,2, Christian N Paxton2, Dennis P O’Malley3,4, Abner Louissaint Jr5, Jason L Hornick6, Gabriel K Griffin6, Yuri Fedoriw7, Young S Kim8, Lawrence M Weiss3, Sherrie L Perkins1,2 and Sarah T South1,2,9 1Department of Pathology, University of Utah, Salt Lake City, UT, USA; 2Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, UT, USA; 3Department of Pathology, Clarient/ Neogenomics, Aliso Viejo, CA, USA; 4Department of Pathology, M.D. Anderson Cancer Center/University of Texas, Houston, TX, USA; 5Department of Pathology, Massachusetts General Hospital, Boston, MA, USA; 6Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA; 7Department of Pathology and Laboratory Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA and 8Department of Pathology, City of Hope National Medical Center, Duarte, CA, USA Follicular dendritic cell sarcoma is a rare malignant neoplasm of dendritic cell origin that is currently poorly characterized by genetic studies. To investigate whether recurrent genomic alterations may underlie the biology of follicular dendritic cell sarcoma and to identify potential contributory regions and genes, molecular inversion probe array analysis was performed on 14 independent formalin-fixed, paraffin-embedded samples. Abnormal genomic profiles were observed in 11 out of 14 (79%) cases. The majority showed extensive genomic complexity that was predominantly represented by hemizygous losses affecting multiple chromosomes. Alterations of chromosomal regions 1p (55%), 2p (55%), 3p (82%), 3q (45%), 6q (55%), 7q (73%), 8p (45%), 9p (64%), 11q (64%), 13q (91%), 14q (82%), 15q (64%), 17p (55%), 18q (64%), and 22q (55%) were recurrent across the 11 samples showing abnormal genomic profiles. -
Moschonas NK (2000) Craniosynostosis and Related Limb Anomalies
Chromosome 10 Mouse Genome Informatics (MGI 2.8). This site is a comprehensive SNP Consortium. This is the website of the SNP Consortium Ltd, a listing of mammalian homology and comparative maps that public/private collaboration that has to date discovered and allows you to search by gene name or map location, as well as characterized nearly 1.8 million SNPs view whole-genome maps http://snp.cshl.org http://www.informatics.jax.org/menus/homology_menu.shtml UCSC Genome Bioinformatics. The UCSC Genome Bioinformatics National Center for Biotechnology Information (NCBI) dbSNP. site contains working drafts for the human genome and the This site is the single nucleotide polymorphism database main- mouse genome. The Genome Browser and the data it displays are tained by the National Center for Biotechnology Information freely available for academic, nonpro®t and personal use http://www.ncbi.nlm.nih.gov/SNP/ http://genome.ucsc.edu Sanger Centre. This site is the human chromosome 9 sequencing Washington University Genome Center. The focus of the project overview page that reports the sequencing status of the Washington University Genome Center is sequencing human chromosome. The Sanger Centre is a genome research institute and microbial genomes and analysis of genetic variations among funded by the Wellcome Trust populations. This site describes the various sequencing projects http://www.sanger.ac.uk/HGP/Chr9/ and provides progress updates http://www.genome.washington.edu/UWGC/ Chromosome 10 Intermediate article Nicholas K Moschonas, University of Crete and Institute of Molecular Biology and Article contents Biotechnology (IMBB-FORTH), Crete, Greece Human Chromosome Characteristics Chromosome 10 is a medium sized submetacentric chromosome corresponding to about Structure and Statistics of Chromosome 10 Genetic Map and Polymorphisms 4.2% of the genetic material in the genome. -
Views of the NIDA, NINDS Or the National Summed Across the Three Auditory Forebrain Lobule Sec- Institutes of Health
Xie et al. BMC Biology 2010, 8:28 http://www.biomedcentral.com/1741-7007/8/28 RESEARCH ARTICLE Open Access The zebra finch neuropeptidome: prediction, detection and expression Fang Xie1, Sarah E London2,6, Bruce R Southey1,3, Suresh P Annangudi1,6, Andinet Amare1, Sandra L Rodriguez-Zas2,3,5, David F Clayton2,4,5,6, Jonathan V Sweedler1,2,5,6* Abstract Background: Among songbirds, the zebra finch (Taeniopygia guttata) is an excellent model system for investigating the neural mechanisms underlying complex behaviours such as vocal communication, learning and social interactions. Neuropeptides and peptide hormones are cell-to-cell signalling molecules known to mediate similar behaviours in other animals. However, in the zebra finch, this information is limited. With the newly-released zebra finch genome as a foundation, we combined bioinformatics, mass-spectrometry (MS)-enabled peptidomics and molecular techniques to identify the complete suite of neuropeptide prohormones and final peptide products and their distributions. Results: Complementary bioinformatic resources were integrated to survey the zebra finch genome, identifying 70 putative prohormones. Ninety peptides derived from 24 predicted prohormones were characterized using several MS platforms; tandem MS confirmed a majority of the sequences. Most of the peptides described here were not known in the zebra finch or other avian species, although homologous prohormones exist in the chicken genome. Among the zebra finch peptides discovered were several unique vasoactive intestinal and adenylate cyclase activating polypeptide 1 peptides created by cleavage at sites previously unreported in mammalian prohormones. MS-based profiling of brain areas required for singing detected 13 peptides within one brain nucleus, HVC; in situ hybridization detected 13 of the 15 prohormone genes examined within at least one major song control nucleus.