Role of RUNX1 in Aberrant Retinal Angiogenesis Jonathan D
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ONCOGENOMICS Through the Use of Chemotherapeutic Agents
Oncogene (2002) 21, 7749 – 7763 ª 2002 Nature Publishing Group All rights reserved 0950 – 9232/02 $25.00 www.nature.com/onc Expression profiling of primary non-small cell lung cancer for target identification Jim Heighway*,1, Teresa Knapp1, Lenetta Boyce1, Shelley Brennand1, John K Field1, Daniel C Betticher2, Daniel Ratschiller2, Mathias Gugger2, Michael Donovan3, Amy Lasek3 and Paula Rickert*,3 1Target Identification Group, Roy Castle International Centre for Lung Cancer Research, University of Liverpool, 200 London Road, Liverpool L3 9TA, UK; 2Institute of Medical Oncology, University of Bern, 3010 Bern, Switzerland; 3Incyte Genomics Inc., 3160 Porter Drive, Palo Alto, California, CA 94304, USA Using a panel of cDNA microarrays comprising 47 650 Introduction transcript elements, we have carried out a dual-channel analysis of gene expression in 39 resected primary The lack of generally effective therapies for lung cancer human non-small cell lung tumours versus normal lung leads to the high mortality rate associated with this tissue. Whilst *11 000 elements were scored as common disease. Recorded 5-year survival figures vary, differentially expressed at least twofold in at least one to some extent perhaps reflecting differences in sample, 96 transcripts were scored as over-represented ascertainment methods, but across Europe are approxi- fourfold or more in at least seven out of 39 tumours mately 10% (Bray et al., 2002). Whilst surgery is an and 30 sequences 16-fold in at least two out of 39 effective strategy for the treatment of localized lesions, tumours, including 24 transcripts in common. Tran- most patients present with overtly or covertly dissemi- scripts (178) were found under-represented fourfold in nated disease. -
Michael Antoni
Stress Management Effects on Biological and Molecular Pathways in Women Treated for Breast Cancer APS/NCI Conference on “Toward Precision Cancer Care: Biobehavioral Contributions to the Exposome” Chicago IL Michael H. Antoni, Ph.D. Department of Psychology Div of Health Psychology Director, Center for Psycho- Oncology Director, Cancer Prevention and Control Research, Sylvester Cancer Center University of Miami E.g., Stress Management for Women with Breast Cancer • Rationale – Breast Cancer (BCa) is a stressor – Challenges of surgery and adjuvant tx – Patient assets can facilitate adjustment – Cognitive Behavioral Stress Management (CBSM) can fortify these assets in women with BCa – Improving Psychosocial Adaptation may Affect Physiological Adaptation Theoretical Model for CBSM during CA Tx Negative Adapt Positive Adapt Physical Funct Awareness C ∆ Cog Appraisals B Physical Emot Processing + Health Beh. S Health M Relaxation QOL Social Support Normalize endocrine and immune regulation Antoni (2003). Stress Management for Women with Breast Cancer. American Psychological Association. Assessment Time Points T1 T2 T3 T4 B SMART-10 wks. 2-8 wks post 3 months post 6 months post surgery One year post surgery Topics of CBSM Week Relaxation Stress Management 1 PMR 7 Stress & Awareness 2 PMR 4/D.B. Stress & Awareness/Stress Appraisals 3 D.B./PMR Disease-Specific, Automatic Thoughts 4 Autogenics Auto. Thghts, Distortions, Thght Rep. 5 D.B./Visualiz. Cognitive Restructuring 6 Sunlight Med. Effective Coping I 7 Color Meditation Effective Coping -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
A Multistep Bioinformatic Approach Detects Putative Regulatory
BMC Bioinformatics BioMed Central Research article Open Access A multistep bioinformatic approach detects putative regulatory elements in gene promoters Stefania Bortoluzzi1, Alessandro Coppe1, Andrea Bisognin1, Cinzia Pizzi2 and Gian Antonio Danieli*1 Address: 1Department of Biology, University of Padova – Via Bassi 58/B, 35131, Padova, Italy and 2Department of Information Engineering, University of Padova – Via Gradenigo 6/B, 35131, Padova, Italy Email: Stefania Bortoluzzi - [email protected]; Alessandro Coppe - [email protected]; Andrea Bisognin - [email protected]; Cinzia Pizzi - [email protected]; Gian Antonio Danieli* - [email protected] * Corresponding author Published: 18 May 2005 Received: 12 November 2004 Accepted: 18 May 2005 BMC Bioinformatics 2005, 6:121 doi:10.1186/1471-2105-6-121 This article is available from: http://www.biomedcentral.com/1471-2105/6/121 © 2005 Bortoluzzi et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge for definition of a sheltered search space and of appropriate search parameters, in order to develop a method for identification of a tractable number of sequence motifs. Results: Novel software (COOP) was developed for extraction of sequence motifs, based on clustering of exact or approximate patterns according to the frequency of their overlapping occurrences. -
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. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Multidrug Transporter MRP4/ABCC4 As a Key Determinant of Pancreatic
www.nature.com/scientificreports OPEN Multidrug transporter MRP4/ ABCC4 as a key determinant of pancreatic cancer aggressiveness A. Sahores1, A. Carozzo1, M. May1, N. Gómez1, N. Di Siervi1, M. De Sousa Serro1, A. Yanef1, A. Rodríguez‑González2, M. Abba3, C. Shayo2 & C. Davio1* Recent fndings show that MRP4 is critical for pancreatic ductal adenocarcinoma (PDAC) cell proliferation. Nevertheless, the signifcance of MRP4 protein levels and function in PDAC progression is still unclear. The aim of this study was to determine the role of MRP4 in PDAC tumor aggressiveness. Bioinformatic studies revealed that PDAC samples show higher MRP4 transcript levels compared to normal adjacent pancreatic tissue and circulating tumor cells express higher levels of MRP4 than primary tumors. Also, high levels of MRP4 are typical of high-grade PDAC cell lines and associate with an epithelial-mesenchymal phenotype. Moreover, PDAC patients with high levels of MRP4 depict dysregulation of pathways associated with migration, chemotaxis and cell adhesion. Silencing MRP4 in PANC1 cells reduced tumorigenicity and tumor growth and impaired cell migration. Transcriptomic analysis revealed that MRP4 silencing alters PANC1 gene expression, mainly dysregulating pathways related to cell-to-cell interactions and focal adhesion. Contrarily, MRP4 overexpression signifcantly increased BxPC-3 growth rate, produced a switch in the expression of EMT markers, and enhanced experimental metastatic incidence. Altogether, our results indicate that MRP4 is associated with a more aggressive phenotype in PDAC, boosting pancreatic tumorigenesis and metastatic capacity, which could fnally determine a fast tumor progression in PDAC patients. Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal human malignancies, due to its late diag- nosis, inherent resistance to treatment and early dissemination 1. -
Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K
www.nature.com/scientificreports OPEN Genome-wide DNA methylation analysis of KRAS mutant cell lines Ben Yi Tew1,5, Joel K. Durand2,5, Kirsten L. Bryant2, Tikvah K. Hayes2, Sen Peng3, Nhan L. Tran4, Gerald C. Gooden1, David N. Buckley1, Channing J. Der2, Albert S. Baldwin2 ✉ & Bodour Salhia1 ✉ Oncogenic RAS mutations are associated with DNA methylation changes that alter gene expression to drive cancer. Recent studies suggest that DNA methylation changes may be stochastic in nature, while other groups propose distinct signaling pathways responsible for aberrant methylation. Better understanding of DNA methylation events associated with oncogenic KRAS expression could enhance therapeutic approaches. Here we analyzed the basal CpG methylation of 11 KRAS-mutant and dependent pancreatic cancer cell lines and observed strikingly similar methylation patterns. KRAS knockdown resulted in unique methylation changes with limited overlap between each cell line. In KRAS-mutant Pa16C pancreatic cancer cells, while KRAS knockdown resulted in over 8,000 diferentially methylated (DM) CpGs, treatment with the ERK1/2-selective inhibitor SCH772984 showed less than 40 DM CpGs, suggesting that ERK is not a broadly active driver of KRAS-associated DNA methylation. KRAS G12V overexpression in an isogenic lung model reveals >50,600 DM CpGs compared to non-transformed controls. In lung and pancreatic cells, gene ontology analyses of DM promoters show an enrichment for genes involved in diferentiation and development. Taken all together, KRAS-mediated DNA methylation are stochastic and independent of canonical downstream efector signaling. These epigenetically altered genes associated with KRAS expression could represent potential therapeutic targets in KRAS-driven cancer. Activating KRAS mutations can be found in nearly 25 percent of all cancers1. -
Análise Integrativa De Perfis Transcricionais De Pacientes Com
UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. -
Functional Receptor Molecules Cd300lf and Cd300ld Within the CD300 Family Enable Murine Noroviruses to Infect Cells
Functional receptor molecules CD300lf and CD300ld within the CD300 family enable murine noroviruses to infect cells Kei Hagaa,1, Akira Fujimotoa,1, Reiko Takai-Todakaa, Motohiro Mikia,b, Yen Hai Doana, Kosuke Murakamia, Masaru Yokoyamac, Kazuyoshi Muratad, Akira Nakanishie,2, and Kazuhiko Katayamaa,2 aDepartment of Virology II, National Institute of Infectious Diseases, Tokyo 208-0011, Japan; bNew Business Planning Division, Innovative Diagnostics Research Center, Denka Innovation Center, Denka Company Limited, Tokyo 194-8560, Japan; cPathogen Genomics Center, National Institute of Infectious Diseases, Tokyo 208-0011, Japan; dNational Institute for Physiological Sciences, Aichi 444-8585, Japan; and eSection of Gene Therapy, Department of Aging Intervention, National Center for Geriatrics and Gerontology, Aichi 474-8511, Japan Edited by Mary K. Estes, Baylor College of Medicine, Houston, Texas, and approved August 11, 2016 (received for review April 9, 2016) Norovirus is the leading cause of acute gastroenteritis worldwide. mice that were deficient in STAT1 and RAG2 (11). MNV repli- Since the discovery of human norovirus (HuNoV), an efficient and cates within the murine macrophage cell line RAW264.7 cells. reproducible norovirus replication system has not been established in MNV strains MNV-1, WU11, and S99 bind macrophages ex vivo cultured cells. Although limited amounts of virus particles can be through a terminal sialic acid on the ganglioside GD1a, which produced when the HuNoV genome is directly transfected into cells, has been suggested as a binding receptor (12). Another MNV the HuNoV cycle of infection has not been successfully reproduced in strain, CR3, binds a different glycan, and the difference in glycan any currently available cell-culture system. -
Human CCL3L1 Copy Number Variation, Gene Expression, and The
bioRxiv preprint doi: https://doi.org/10.1101/249508; this version posted January 17, 2018. 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 Pagemade available 1 of 19 under aCC-BY 4.0 International license. 1 Human CCL3L1 copy number variation, gene expression, and the role of the CCL3L1-CCR5 axis 2 in lung function 3 4 Adeolu B Adewoye (1)*, Nick Shrine (2)*, Linda Odenthal-Hesse (1), Samantha Welsh (3), 5 Anders Malarstig (4), Scott Jelinsky (5), Iain Kilty (5), Martin D Tobin (2,6), Edward J Hollox (1)†, 6 Louise V Wain (2,6)† 7 8 1. Department of Genetics and Genome Biology, University of Leicester, Leicester, UK 9 2. Department of Health Sciences, University of Leicester, Leicester, UK 10 3. UK Biobank, Stockport, UK 11 4. Pfizer Worldwide Research and Development, Stockholm, Sweden. 12 5. Pfizer Worldwide Research and Development, Cambridge, Massachusetts, USA 13 6. National Institute of Health Research Biomedical Research Centre, University of 14 Leicester, Leicester, UK 15 16 * † These authors contributed equally to this work. 17 18 Corresponding authors: Edward J Hollox ([email protected]), Louise V Wain 19 ([email protected]) 20 21 Keywords: copy number variation, lung function, CCL3L1, CCR5, CNV, UK Biobank 22 23 Abstract 24 25 The CCL3L1-CCR5 signaling axis is important in a number of inflammatory responses, including 26 macrophage function, and T-cell-dependent immune responses. Small molecule CCR5 27 antagonists exist, including the approved antiretroviral drug maraviroc, and therapeutic 28 monoclonal antibodies are in development. -
Functional Receptor Molecules Cd300lf and Cd300ld Within the CD300 Family Enable Murine Noroviruses to Infect Cells
Functional receptor molecules CD300lf and CD300ld within the CD300 family enable murine noroviruses to infect cells Kei Hagaa,1, Akira Fujimotoa,1, Reiko Takai-Todakaa, Motohiro Mikia,b, Yen Hai Doana, Kosuke Murakamia, Masaru Yokoyamac, Kazuyoshi Muratad, Akira Nakanishie,2, and Kazuhiko Katayamaa,2 aDepartment of Virology II, National Institute of Infectious Diseases, Tokyo 208-0011, Japan; bNew Business Planning Division, Innovative Diagnostics Research Center, Denka Innovation Center, Denka Company Limited, Tokyo 194-8560, Japan; cPathogen Genomics Center, National Institute of Infectious Diseases, Tokyo 208-0011, Japan; dNational Institute for Physiological Sciences, Aichi 444-8585, Japan; and eSection of Gene Therapy, Department of Aging Intervention, National Center for Geriatrics and Gerontology, Aichi 474-8511, Japan Edited by Mary K. Estes, Baylor College of Medicine, Houston, Texas, and approved August 11, 2016 (received for review April 9, 2016) Norovirus is the leading cause of acute gastroenteritis worldwide. mice that were deficient in STAT1 and RAG2 (11). MNV repli- Since the discovery of human norovirus (HuNoV), an efficient and cates within the murine macrophage cell line RAW264.7 cells. reproducible norovirus replication system has not been established in MNV strains MNV-1, WU11, and S99 bind macrophages ex vivo cultured cells. Although limited amounts of virus particles can be through a terminal sialic acid on the ganglioside GD1a, which produced when the HuNoV genome is directly transfected into cells, has been suggested as a binding receptor (12). Another MNV the HuNoV cycle of infection has not been successfully reproduced in strain, CR3, binds a different glycan, and the difference in glycan any currently available cell-culture system.