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Novel Candidate Key Drivers in the Integrative Network of Genes, Micrornas, Methylations, and Copy Number Variations in Squamous Cell Lung Carcinoma
Hindawi Publishing Corporation BioMed Research International Volume 2015, Article ID 358125, 11 pages http://dx.doi.org/10.1155/2015/358125 Research Article Novel Candidate Key Drivers in the Integrative Network of Genes, MicroRNAs, Methylations, and Copy Number Variations in Squamous Cell Lung Carcinoma Tao Huang,1,2 Jing Yang,2 and Yu-dong Cai1 1 CollegeofLifeScience,ShanghaiUniversity,Shanghai200444,China 2Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Shanghai Jiao Tong University School of Medicine, Shanghai 200031, China Correspondence should be addressed to Tao Huang; [email protected] and Yu-dong Cai; cai [email protected] Received 17 September 2014; Revised 6 January 2015; Accepted 22 January 2015 Academic Editor: Aparup Das Copyright © 2015 Tao Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The mechanisms of lung cancer are highly complex. Not only mRNA gene expression but also microRNAs, DNA methylation, and copy number variation (CNV) play roles in tumorigenesis. It is difficult to incorporate so much information into a single model that can comprehensively reflect all these lung cancer mechanisms. In this study, we analyzed the 129 TCGA (The Cancer Genome Atlas) squamous cell lung carcinoma samples with gene expression, microRNA expression, DNA methylation, and CNV data. First, we used variance inflation factor (VIF) regression to build the whole genome integrative network. Then, we isolated the lung cancer subnetwork by identifying the known lung cancer genes and their direct regulators. -
Autophagy Modulation in Bladder Cancer Development and Treatment (Review)
ONCOLOGY REPORTS 42: 1647-1655, 2019 Autophagy modulation in bladder cancer development and treatment (Review) FAPING LI, HUI GUO, YUXUAN YANG, MINGLIANG FENG, BIN LIU, XIANG REN and HONGLAN ZHOU Department of Urology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China Received April 24, 2019; Accepted August 1, 2019 DOI: 10.3892/or.2019.7286 Abstract. Bladder cancer (BC) is a potentially life-threatening 1. Introduction malignancy. Due to a high recurrence rate, frequent surveil- lance strategies and intravesical drug therapies, BC is Bladder cancer (BC) is a potentially life-threatening malig- considered one of the most expensive tumors to treat. As a nancy that is considered one of the most expensive tumors fundamental evolutionary catabolic process, autophagy plays in terms of treatment and medical care (1-3). After prostate an important role in the maintenance of cellular environ- cancer, it is the second most common type of urological cancer mental homeostasis by degrading and recycling damaged and ranks 10th among the most common types of cancer cytoplasmic components, including macromolecules and around the globe (4). It has been estimated that there were organelles. Scientific studies in the last two decades have 549,393 new cases of BC and 199,922 deaths resulting from shown that autophagy acts as a double‑edged sword with this disease worldwide in 2018, according to a report from regard to the treatment of cancer. On one hand, autophagy the International Agency for Research on Cancer (4). The inhibition is able to increase the sensitivity of cancer cells to primary histological subtype of human BC is transitional cell treatment, a process known as protective autophagy. -
Report Mutations in a Novel Isoform of TRIOBP That Encodes A
Report Mutations in a Novel Isoform of TRIOBP That Encodes a Filamentous- Actin Binding Protein Are Responsible for DFNB28 Recessive Nonsyndromic Hearing Loss Hashem Shahin,1,2 Tom Walsh,3 Tama Sobe,2 Judeh Abu Sa’ed,1 Amal Abu Rayan,1 Eric D. Lynch,3 Ming K. Lee,3 Karen B. Avraham,2 Mary-Claire King,3 and Moein Kanaan1 1Department of Life Sciences, Bethlehem University, Bethlehem; 2Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv; and 3Departments of Medicine and Genome Sciences, University of Washington, Seattle In a large consanguineous Palestinian kindred, we previously mapped DFNB28—a locus associated with recessively inherited, prelingual, profound sensorineural hearing impairment—to chromosome 22q13.1. We report here that mutations in a novel 218-kDa isoform of TRIOBP (TRIO and filamentous actin [F-actin] binding protein) are associated with DFNB28 hearing loss in a total of nine Palestinian families. Two nonsense mutations (R347X and Q581X) truncate the protein, and a potentially deleterious missense mutation (G1019R) occurs in a conserved motif in a putative SH3-binding domain. In seven families, 27 deaf individuals are homozygous for one of the nonsense mutations; in two other families, 3 deaf individuals are compound heterozygous for the two nonsense mutations or for Q581X and G1019R. The novel long isoform of TRIOBP has a restricted expression profile, including cochlea, retina, and fetal brain, whereas the original short isoform is widely expressed. Antibodies to TRIOBP reveal expression in sensory cells of the inner ear and colocalization with F-actin along the length of the stereocilia. -
Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
Identification of C3 As a Therapeutic Target for Diabetic Nephropathy By
www.nature.com/scientificreports OPEN Identifcation of C3 as a therapeutic target for diabetic nephropathy by bioinformatics analysis ShuMei Tang, XiuFen Wang, TianCi Deng, HuiPeng Ge & XiangCheng Xiao* The pathogenesis of diabetic nephropathy is not completely understood, and the efects of existing treatments are not satisfactory. Various public platforms already contain extensive data for deeper bioinformatics analysis. From the GSE30529 dataset based on diabetic nephropathy tubular samples, we identifed 345 genes through diferential expression analysis and weighted gene coexpression correlation network analysis. GO annotations mainly included neutrophil activation, regulation of immune efector process, positive regulation of cytokine production and neutrophil-mediated immunity. KEGG pathways mostly included phagosome, complement and coagulation cascades, cell adhesion molecules and the AGE-RAGE signalling pathway in diabetic complications. Additional datasets were analysed to understand the mechanisms of diferential gene expression from an epigenetic perspective. Diferentially expressed miRNAs were obtained to construct a miRNA-mRNA network from the miRNA profles in the GSE57674 dataset. The miR-1237-3p/SH2B3, miR-1238-5p/ ZNF652 and miR-766-3p/TGFBI axes may be involved in diabetic nephropathy. The methylation levels of the 345 genes were also tested based on the gene methylation profles of the GSE121820 dataset. The top 20 hub genes in the PPI network were discerned using the CytoHubba tool. Correlation analysis with GFR showed that SYK, CXCL1, LYN, VWF, ANXA1, C3, HLA-E, RHOA, SERPING1, EGF and KNG1 may be involved in diabetic nephropathy. Eight small molecule compounds were identifed as potential therapeutic drugs using Connectivity Map. It is estimated that a total of 451 million people sufered from diabetes by 2017, and the number is speculated to be 693 million by 2045 1. -
An Uncommon Clinical Presentation of Relapsing Dilated Cardiomyopathy with Identification of Sequence Variations in MYNPC3, KCNH2 and Mitochondrial Trna Cysteine M
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by George Washington University: Health Sciences Research Commons (HSRC) Himmelfarb Health Sciences Library, The George Washington University Health Sciences Research Commons Pediatrics Faculty Publications Pediatrics 6-2015 An uncommon clinical presentation of relapsing dilated cardiomyopathy with identification of sequence variations in MYNPC3, KCNH2 and mitochondrial tRNA cysteine M. J. Guillen Sacoto Kimberly A. Chapman George Washington University D. Heath M. B. Seprish Dina Zand George Washington University Follow this and additional works at: http://hsrc.himmelfarb.gwu.edu/smhs_peds_facpubs Part of the Pediatrics Commons Recommended Citation Guillen Sacoto, M.J., Chapman, K.A., Heath, D., Seprish, M.B., Zand, D.J. (2015). An uncommon clinical presentation of relapsing dilated cardiomyopathy with identification of sequence variations in MYNPC3, KCNH2 and mitochondrial tRNA cysteine. Molecular Genetics and Metabolism Reports, 3, 47-54. doi:10.1016/j.ymgmr.2015.03.007 This Journal Article is brought to you for free and open access by the Pediatrics at Health Sciences Research Commons. It has been accepted for inclusion in Pediatrics Faculty Publications by an authorized administrator of Health Sciences Research Commons. For more information, please contact [email protected]. Molecular Genetics and Metabolism Reports 3 (2015) 47–54 Contents lists available at ScienceDirect Molecular Genetics and Metabolism Reports journal homepage: http://www.journals.elsevier.com/molecular-genetics-and- metabolism-reports/ Case Report An uncommon clinical presentation of relapsing dilated cardiomyopathy with identification of sequence variations in MYNPC3, KCNH2 and mitochondrial tRNA cysteine Maria J. Guillen Sacoto a,1, Kimberly A. -
GVES: Machine Learning Model for Identification of Prognostic Genes
www.nature.com/scientificreports OPEN GVES: machine learning model for identifcation of prognostic genes with a small dataset Soohyun Ko1, Jonghwan Choi2 & Jaegyoon Ahn1* Machine learning may be a powerful approach to more accurate identifcation of genes that may serve as prognosticators of cancer outcomes using various types of omics data. However, to date, machine learning approaches have shown limited prediction accuracy for cancer outcomes, primarily owing to small sample numbers and relatively large number of features. In this paper, we provide a description of GVES (Gene Vector for Each Sample), a proposed machine learning model that can be efciently leveraged even with a small sample size, to increase the accuracy of identifcation of genes with prognostic value. GVES, an adaptation of the continuous bag of words (CBOW) model, generates vector representations of all genes for all samples by leveraging gene expression and biological network data. GVES clusters samples using their gene vectors, and identifes genes that divide samples into good and poor outcome groups for the prediction of cancer outcomes. Because GVES generates gene vectors for each sample, the sample size efect is reduced. We applied GVES to six cancer types and demonstrated that GVES outperformed existing machine learning methods, particularly for cancer datasets with a small number of samples. Moreover, the genes identifed as prognosticators were shown to reside within a number of signifcant prognostic genetic pathways associated with pancreatic cancer. Te accurate identifcation of genes with prognostic value in the prediction of cancer outcomes is a challenging task for cancer researchers. Numerous statistical and computational methods have been developed to increase the accuracy of cancer prognosis1. -
Abstracts from the 50Th European Society of Human Genetics Conference: Electronic Posters
European Journal of Human Genetics (2019) 26:820–1023 https://doi.org/10.1038/s41431-018-0248-6 ABSTRACT Abstracts from the 50th European Society of Human Genetics Conference: Electronic Posters Copenhagen, Denmark, May 27–30, 2017 Published online: 1 October 2018 © European Society of Human Genetics 2018 The ESHG 2017 marks the 50th Anniversary of the first ESHG Conference which took place in Copenhagen in 1967. Additional information about the event may be found on the conference website: https://2017.eshg.org/ Sponsorship: Publication of this supplement is sponsored by the European Society of Human Genetics. All authors were asked to address any potential bias in their abstract and to declare any competing financial interests. These disclosures are listed at the end of each abstract. Contributions of up to EUR 10 000 (ten thousand euros, or equivalent value in kind) per year per company are considered "modest". Contributions above EUR 10 000 per year are considered "significant". 1234567890();,: 1234567890();,: E-P01 Reproductive Genetics/Prenatal and fetal echocardiography. The molecular karyotyping Genetics revealed a gain in 8p11.22-p23.1 region with a size of 27.2 Mb containing 122 OMIM gene and a loss in 8p23.1- E-P01.02 p23.3 region with a size of 6.8 Mb containing 15 OMIM Prenatal diagnosis in a case of 8p inverted gene. The findings were correlated with 8p inverted dupli- duplication deletion syndrome cation deletion syndrome. Conclusion: Our study empha- sizes the importance of using additional molecular O¨. Kırbıyık, K. M. Erdog˘an, O¨.O¨zer Kaya, B. O¨zyılmaz, cytogenetic methods in clinical follow-up of complex Y. -
Placenta-Derived Exosomes Continuously Increase in Maternal
Sarker et al. Journal of Translational Medicine 2014, 12:204 http://www.translational-medicine.com/content/12/1/204 RESEARCH Open Access Placenta-derived exosomes continuously increase in maternal circulation over the first trimester of pregnancy Suchismita Sarker1, Katherin Scholz-Romero1, Alejandra Perez2, Sebastian E Illanes1,2,3, Murray D Mitchell1, Gregory E Rice1,2 and Carlos Salomon1,2* Abstract Background: Human placenta releases specific nanovesicles (i.e. exosomes) into the maternal circulation during pregnancy, however, the presence of placenta-derived exosomes in maternal blood during early pregnancy remains to be established. The aim of this study was to characterise gestational age related changes in the concentration of placenta-derived exosomes during the first trimester of pregnancy (i.e. from 6 to 12 weeks) in plasma from women with normal pregnancies. Methods: A time-series experimental design was used to establish pregnancy-associated changes in maternal plasma exosome concentrations during the first trimester. A series of plasma were collected from normal healthy women (10 patients) at 6, 7, 8, 9, 10, 11 and 12 weeks of gestation (n = 70). We measured the stability of these vesicles by quantifying and observing their protein and miRNA contents after the freeze/thawing processes. Exosomes were isolated by differential and buoyant density centrifugation using a sucrose continuous gradient and characterised by their size distribution and morphology using the nanoparticles tracking analysis (NTA; Nanosight™) and electron microscopy (EM), respectively. The total number of exosomes and placenta-derived exosomes were determined by quantifying the immunoreactive exosomal marker, CD63 and a placenta-specific marker (Placental Alkaline Phosphatase PLAP). -
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. -
Overexpression of Autocrine Motility Factor in Metastatic Tumor Cells: Possible Association with Augmented Expression of KIF3A and GDI-B
Laboratory Investigation (2004) 84, 513–522 & 2004 USCAP, Inc All rights reserved 0023-6837/04 $25.00 www.laboratoryinvestigation.org Overexpression of autocrine motility factor in metastatic tumor cells: possible association with augmented expression of KIF3A and GDI-b Takashi Yanagawa1, Hideomi Watanabe1, Toshiyuki Takeuchi2, Shuhei Fujimoto3, Hideyuki Kurihara2,4 and Kenji Takagishi1 1Department of Orthopaedic Surgery; 2Department of Molecular Medicine; 3Department of Microbiology and 4Department of Neurosurgery Gunma University Faculty of Medicine, Institute for Molecular and Cellular Regulation, Gunma University, Showa, Maebashi, Gunma 371-8511, Japan Autocrine motility factor (AMF), which is identical to phosphohexose isomerase (PHI)/glucose-6-phosphate isomerase (GPI) , a ubiquitous enzyme essential for glycolysis, neuroleukin (NLK), a neurotrophic growth factor, and maturation factor (MF) mediating the differentiation of human myeloid cells, enhances the motility and metastatic ability of tumor cells. AMF/PHI activity is elevated in the serum or urine in patients with malignant tumors. Here, we constructed an amf/phi/nlk/mf gene using adenovirus vector and transfected into two tumor cell lines. Overexpression of AMF/PHI/NLK/MF enhanced AMF secretion into the culture media in both tumor cell lines. However, upregulation of motility and metastatic ability was found only in metastatic fibrosarcoma cells expressing an AMF receptor, gp78, and was not found in gp78-undetectable osteosarcoma cells. Thus, not only serum AMF activity but also gp78-expression in tumor cells may be required for metastasis-related motility induction. With the use of microarray analyses, we detected two augmented genes, rho GDP dissociation inhibitor beta and kinesin motor 3A, as well as AMF itself. -
IDENTIFICATION and CHARACTERIZATION of ACTIN-REGULATORY PROTEINS in the HAIR CELL's CUTICULAR PLATE by LANA MARY POLLOCK Subm
IDENTIFICATION AND CHARACTERIZATION OF ACTIN-REGULATORY PROTEINS IN THE HAIR CELL’S CUTICULAR PLATE by LANA MARY POLLOCK Submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy Dissertation advisor: Brian M. McDermott Jr., Ph.D. Department of Genetics and Genome Sciences CASE WESTERN RESERVE UNIVERSITY January 2016 Case Western Reserve University School of Graduate Studies We, the thesis committee, hereby approve the thesis/dissertation of Lana Pollock, candidate for the degree of Doctor of Philosophy (PhD).* (signed)_________Zhenghe Wang, Ph.D._________________ (chair of committee) ___________Brian McDermott, Ph.D._______________ ___________ Hua Lou, Ph.D._____________________ ___________Stephen Maricich, Ph.D., M.D.___________ ___________Anthony Wynshaw-Boris, Ph.D., M.D._____ Date of defense_____September 8th, 2015_______________ *we also certify that written approval has been obtained for release of any proprietary material contained therein 2 This thesis is dedicated to Daniel Margevicius. Thank you for your unwavering love and support. Ačiū!! 3 Table of contents List of Tables ........................................................................................................ 7 List of Figures ....................................................................................................... 8 List of abbreviations ............................................................................................ 13 Abstract .............................................................................................................