Systematic Analysis of the Clinical Relevance of Cell Division Cycle
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Phosphorylation and Activation of Cell Division Cycle Associated 8 by Aurora Kinase B Plays a Significant Role in Human Lung Carcinogenesis
Research Article Phosphorylation and Activation of Cell Division Cycle Associated 8 by Aurora Kinase B Plays a Significant Role in Human Lung Carcinogenesis Satoshi Hayama,1,2 Yataro Daigo,1 Takumi Yamabuki,1 Daizaburo Hirata,1 Tatsuya Kato,1 Masaki Miyamoto,2 Tomoo Ito,3 Eiju Tsuchiya,4 Satoshi Kondo,2 andYusuke Nakamura 1 1Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan; Departments of 2Surgical Oncology and 3Surgical Pathology, Hokkaido University Graduate School of Medicine, Sapporo, Japan; and 4Kanagawa Cancer Center Research Institute, Kanagawa, Japan Abstract inhibitors for EGFR tyrosine kinase (i.e., gefitinib and erlotinib), Through genome-wide gene expression analysis of lung were developed and are applied in clinical practice (5). However, carcinomas, we detected in the great majority of lung cancer each of the new regimens can provide survival benefits to a small samples cotransactivation of cell division cycle associated subset of the patients (6, 7). Hence, new therapeutic strategies, such 8(CDCA8) and aurora kinase B (AURKB), which were as development of more effective molecular targeted agents considered to be components of the vertebrate chromosomal applicable to the great majority of patients with less toxicity, are passenger complex.Immunohistochemical analysis of lung eagerly awaited. cancer tissue microarrays showed that overexpression of Systematic analysis of expression levels of thousands of genes CDCA8 and AURKB was significantly associated with poor using cDNA microarrays is an effective approach for identification prognosis of lung cancer patients.AURKB directly phosphor- of unknown molecules involved in carcinogenic pathways and can ylated CDCA8 at Ser154, Ser219, Ser275, and Thr278 and seemed effectively screen candidate target molecules for development of to stabilize CDCA8 protein in cancer cells.Suppression of novel therapeutics and diagnostics. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Evolution, Expression and Meiotic Behavior of Genes Involved in Chromosome Segregation of Monotremes
G C A T T A C G G C A T genes Article Evolution, Expression and Meiotic Behavior of Genes Involved in Chromosome Segregation of Monotremes Filip Pajpach , Linda Shearwin-Whyatt and Frank Grützner * School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia; fi[email protected] (F.P.); [email protected] (L.S.-W.) * Correspondence: [email protected] Abstract: Chromosome segregation at mitosis and meiosis is a highly dynamic and tightly regulated process that involves a large number of components. Due to the fundamental nature of chromosome segregation, many genes involved in this process are evolutionarily highly conserved, but duplica- tions and functional diversification has occurred in various lineages. In order to better understand the evolution of genes involved in chromosome segregation in mammals, we analyzed some of the key components in the basal mammalian lineage of egg-laying mammals. The chromosome passenger complex is a multiprotein complex central to chromosome segregation during both mitosis and meio- sis. It consists of survivin, borealin, inner centromere protein, and Aurora kinase B or C. We confirm the absence of Aurora kinase C in marsupials and show its absence in both platypus and echidna, which supports the current model of the evolution of Aurora kinases. High expression of AURKBC, an ancestor of AURKB and AURKC present in monotremes, suggests that this gene is performing all necessary meiotic functions in monotremes. Other genes of the chromosome passenger complex complex are present and conserved in monotremes, suggesting that their function has been preserved Citation: Pajpach, F.; in mammals. -
Identification of Novel Biomarkers and Candidate Small Molecule Drugs in Non-Small-Cell Lung Cancer by Integrated Microarray Analysis
OncoTargets and Therapy Dovepress open access to scientific and medical research Open Access Full Text Article ORIGINAL RESEARCH Identification of novel biomarkers and candidate small molecule drugs in non-small-cell lung cancer by integrated microarray analysis This article was published in the following Dove Press journal: OncoTargets and Therapy Qiong Wu1,2,* Background: Non-small-cell lung cancer (NSCLC) remains the leading cause of cancer Bo Zhang1,2,* morbidity and mortality worldwide. In the present study, we identified novel biomarkers Yidan Sun3 associated with the pathogenesis of NSCLC aiming to provide new diagnostic and therapeu- Ran Xu1 tic approaches for NSCLC. Xinyi Hu4 Methods: The microarray datasets of GSE18842, GSE30219, GSE31210, GSE32863 and Shiqi Ren4 GSE40791 from Gene Expression Omnibus database were downloaded. The differential Qianqian Ma5 expressed genes (DEGs) between NSCLC and normal samples were identified by limma Chen Chen6 package. The construction of protein–protein interaction (PPI) network, module analysis and Jian Shu7 enrichment analysis were performed using bioinformatics tools. The expression and prog- Fuwei Qi7 nostic values of hub genes were validated by GEPIA database and real-time quantitative fi Ting He7 PCR. Based on these DEGs, the candidate small molecules for NSCLC were identi ed by the CMap database. Wei Wang2 Results: A total of 408 overlapping DEGs including 109 up-regulated and 296 down- Ziheng Wang2 regulated genes were identified; 300 nodes and 1283 interactions were obtained from the 1 Medical School of Nantong University, PPI network. The most significant biological process and pathway enrichment of DEGs were Nantong 226001, People’s Republic of China; 2The Hand Surgery Research Center, response to wounding and cell adhesion molecules, respectively. -
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M BoC | ARTICLE Chromosomal passenger complex hydrodynamics suggests chaperoning of the inactive state by nucleoplasmin/nucleophosmin Mariah L. Hanleya,b, Tae Yeon Yooc, Matthew Sonnetta, Daniel J. Needlemanc,d, and Timothy J. Mitchisona,* aDepartment of Systems Biology, Harvard Medical School, Boston, MA 02114–5701; bDepartment of Chemistry, cJohn A. Paulson School of Engineering and Applied Sciences, and dDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138-2902 ABSTRACT The chromosomal passenger complex (CPC) is a conserved, essential regulator of Monitoring Editor cell division. As such, significant anti–cancer drug development efforts have been focused on Yixian Zheng targeting it, most notably by inhibiting its AURKB kinase subunit. The CPC is activated by Carnegie Institution AURKB-catalyzed autophosphorylation on multiple subunits, but how this regulates CPC in- Received: Dec 20, 2016 teractions with other mitotic proteins remains unclear. We investigated the hydrodynamic Revised: Mar 27, 2017 behavior of the CPC in Xenopus laevis egg cytosol using sucrose gradient sedimentation and Accepted: Apr 4, 2017 in HeLa cells using fluorescence correlation spectroscopy. We found that autophosphoryla- tion of the CPC decreases its sedimentation coefficient in egg cytosol and increases its diffu- sion coefficient in live cells, indicating a decrease in mass. Using immunoprecipitation coupled with mass spectrometry and immunoblots, we discovered that inactive, unphosphorylated CPC interacts with nucleophosmin/nucleoplasmin proteins, which are known to oligomerize into pentamers and decamers. Autophosphorylation of the CPC causes it to dissociate from nucleophosmin/nucleoplasmin. We propose that nucleophosmin/nucleoplasmin complexes serve as chaperones that negatively regulate the CPC and/or stabilize its inactive form, pre- venting CPC autophosphorylation and recruitment to chromatin and microtubules in mitosis. -
Rabbit Anti-CDCA5/FITC Conjugated Antibody
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-CDCA5/FITC Conjugated antibody SL7717R-FITC Product Name: Anti-CDCA5/FITC Chinese Name: FITC标记的细胞分裂周期相关蛋白5抗体 Alias: Cell division cycle associated protein 5; MGC16386; p35; Sororin; CDCA5_HUMAN. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Dog,Pig,Cow,Horse,Rabbit, Flow-Cyt=1:50-200IF=1:50-200 Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 28kDa Form: Lyophilized or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human CDCA5 Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibodywww.sunlongbiotech.com is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. background: Sororin, also designated cell division cycle-associated protein 5 (CDCA5) or p35, functions as a regulator of sister chromatid cohesion during mitosis. It interacts with the APC/C complex and is found in a complex consisting of cohesion components SCC- 112, MC1L1, SMC3L1, RAD21 and APRIN. The deduced human and mouse Sororin Product Detail: proteins consist of 252 and 264 amino acid residues, respectively, and both contain a KEN box for APC-dependent ubiquitination. -
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. -
Supplementary Data
SUPPLEMENTARY DATA A cyclin D1-dependent transcriptional program predicts clinical outcome in mantle cell lymphoma Santiago Demajo et al. 1 SUPPLEMENTARY DATA INDEX Supplementary Methods p. 3 Supplementary References p. 8 Supplementary Tables (S1 to S5) p. 9 Supplementary Figures (S1 to S15) p. 17 2 SUPPLEMENTARY METHODS Western blot, immunoprecipitation, and qRT-PCR Western blot (WB) analysis was performed as previously described (1), using cyclin D1 (Santa Cruz Biotechnology, sc-753, RRID:AB_2070433) and tubulin (Sigma-Aldrich, T5168, RRID:AB_477579) antibodies. Co-immunoprecipitation assays were performed as described before (2), using cyclin D1 antibody (Santa Cruz Biotechnology, sc-8396, RRID:AB_627344) or control IgG (Santa Cruz Biotechnology, sc-2025, RRID:AB_737182) followed by protein G- magnetic beads (Invitrogen) incubation and elution with Glycine 100mM pH=2.5. Co-IP experiments were performed within five weeks after cell thawing. Cyclin D1 (Santa Cruz Biotechnology, sc-753), E2F4 (Bethyl, A302-134A, RRID:AB_1720353), FOXM1 (Santa Cruz Biotechnology, sc-502, RRID:AB_631523), and CBP (Santa Cruz Biotechnology, sc-7300, RRID:AB_626817) antibodies were used for WB detection. In figure 1A and supplementary figure S2A, the same blot was probed with cyclin D1 and tubulin antibodies by cutting the membrane. In figure 2H, cyclin D1 and CBP blots correspond to the same membrane while E2F4 and FOXM1 blots correspond to an independent membrane. Image acquisition was performed with ImageQuant LAS 4000 mini (GE Healthcare). Image processing and quantification were performed with Multi Gauge software (Fujifilm). For qRT-PCR analysis, cDNA was generated from 1 µg RNA with qScript cDNA Synthesis kit (Quantabio). qRT–PCR reaction was performed using SYBR green (Roche). -
Comprehensive Identification of Survival-Associated Genes for Cancers
bioRxiv preprint doi: https://doi.org/10.1101/526285; this version posted January 22, 2019. 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. Comprehensive identification of survival-associated genes for cancers Hongde Liu1*, Kun Luo2, Huamei Li1, Xiao Sun1 1State Key Laboratory of Bioelectronics, School of Biological Science & Medical Engineering, Southeast University, Nanjing 210096, China 2Department of Neurosurgery, Xinjiang Evidence-Based Medicine Research Institute, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China *The corresponding author: Hongde Liu, e-mail: [email protected] (HDL). Authors’ e-mails: Hongde Liu: [email protected] (HDL); Kun Luo: [email protected] (KL); Huamei Li: [email protected](HML); Xiao Sun: [email protected](XS). Highlights: ● The number of possible prognostic and diagnostic genes for cancers; ● A list of independent prognostic genes for each cancer; ● The universal prognostic genes mainly function in the spindle assembly checkpoint; ● Statistical links between mutated pathways and prognostic genes. 1 bioRxiv preprint doi: https://doi.org/10.1101/526285; this version posted January 22, 2019. 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. Abstract: Prognostic signature is important in estimating cancer risk, subtyping cancer, and planning treatment. -
Associated 16P11.2 Deletion in Drosophila Melanogaster
ARTICLE DOI: 10.1038/s41467-018-04882-6 OPEN Pervasive genetic interactions modulate neurodevelopmental defects of the autism- associated 16p11.2 deletion in Drosophila melanogaster Janani Iyer1, Mayanglambam Dhruba Singh1, Matthew Jensen1,2, Payal Patel 1, Lucilla Pizzo1, Emily Huber1, Haley Koerselman3, Alexis T. Weiner 1, Paola Lepanto4, Komal Vadodaria1, Alexis Kubina1, Qingyu Wang 1,2, Abigail Talbert1, Sneha Yennawar1, Jose Badano 4, J. Robert Manak3,5, Melissa M. Rolls1, Arjun Krishnan6,7 & 1234567890():,; Santhosh Girirajan 1,2,8 As opposed to syndromic CNVs caused by single genes, extensive phenotypic heterogeneity in variably-expressive CNVs complicates disease gene discovery and functional evaluation. Here, we propose a complex interaction model for pathogenicity of the autism-associated 16p11.2 deletion, where CNV genes interact with each other in conserved pathways to modulate expression of the phenotype. Using multiple quantitative methods in Drosophila RNAi lines, we identify a range of neurodevelopmental phenotypes for knockdown of indi- vidual 16p11.2 homologs in different tissues. We test 565 pairwise knockdowns in the developing eye, and identify 24 interactions between pairs of 16p11.2 homologs and 46 interactions between 16p11.2 homologs and neurodevelopmental genes that suppress or enhance cell proliferation phenotypes compared to one-hit knockdowns. These interac- tions within cell proliferation pathways are also enriched in a human brain-specific network, providing translational relevance in humans. Our study indicates a role for pervasive genetic interactions within CNVs towards cellular and developmental phenotypes. 1 Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA. 2 Bioinformatics and Genomics Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA. -
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. -
Differential Gene Expression in the Skin of Xiphophorus
DIFFERENTIAL GENE EXPRESSION IN THE SKIN OF XIPHOPHORUS MACULATUS JP 163 B IN RESPONSE TO FULL SPECTRUM (10,000 K) FLUORESCENT LIGHT by Kaela Caballero, B.S. A thesis submitted to the Graduate Council of Texas State University in partial fulfillment of the requirements for the degree of Master of Science with a Major in Biochemistry August 2015 Committee Members: Ronald Walter, Chair Rachell Booth Steven Whitten COPYRIGHT by Kaela L. Caballero 2015 FAIR USE AND AUTHOR’S PERMISSION STATEMENT Fair Use This work is protected by the Copyright Laws of the United States (Public Law 94-553, section 107). Consistent with fair use as defined in the Copyright Laws, brief quotations from this material are allowed with proper acknowledgment. Use of this material for financial gain without the author’s express written permission is not allowed. Duplication Permission As the copyright holder of this work I, Kaela L. Caballero, authorize duplication of this work, in whole or in part, for educational or scholarly purposes only. DEDICATION To my parents and family, who have always supported and encouraged me, my education and my coffee addiction. And to Max, my study buddy; where you have gone, there is no need for coffee fueled late nights. Rest in peace. ACKNOWLEDGEMENTS This work could not have been accomplished without the support and mentorship that I have received throughout my life from family, teachers, mentors and friends. It is impossible to name everyone here, but I would like to use a few lines to thank those that have helped me achieve my goals. Thank you to Dr.