Transcriptomic Analysis of Gene Expression in Mice Treated with Troxerutin
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
In Silico Prediction of High-Resolution Hi-C Interaction Matrices
ARTICLE https://doi.org/10.1038/s41467-019-13423-8 OPEN In silico prediction of high-resolution Hi-C interaction matrices Shilu Zhang1, Deborah Chasman 1, Sara Knaack1 & Sushmita Roy1,2* The three-dimensional (3D) organization of the genome plays an important role in gene regulation bringing distal sequence elements in 3D proximity to genes hundreds of kilobases away. Hi-C is a powerful genome-wide technique to study 3D genome organization. Owing to 1234567890():,; experimental costs, high resolution Hi-C datasets are limited to a few cell lines. Computa- tional prediction of Hi-C counts can offer a scalable and inexpensive approach to examine 3D genome organization across multiple cellular contexts. Here we present HiC-Reg, an approach to predict contact counts from one-dimensional regulatory signals. HiC-Reg pre- dictions identify topologically associating domains and significant interactions that are enri- ched for CCCTC-binding factor (CTCF) bidirectional motifs and interactions identified from complementary sources. CTCF and chromatin marks, especially repressive and elongation marks, are most important for HiC-Reg’s predictive performance. Taken together, HiC-Reg provides a powerful framework to generate high-resolution profiles of contact counts that can be used to study individual locus level interactions and higher-order organizational units of the genome. 1 Wisconsin Institute for Discovery, 330 North Orchard Street, Madison, WI 53715, USA. 2 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53715, USA. *email: [email protected] NATURE COMMUNICATIONS | (2019) 10:5449 | https://doi.org/10.1038/s41467-019-13423-8 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-13423-8 he three-dimensional (3D) organization of the genome has Results Temerged as an important component of the gene regulation HiC-Reg for predicting contact count using Random Forests. -
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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
Hippo and Sonic Hedgehog Signalling Pathway Modulation of Human Urothelial Tissue Homeostasis
Hippo and Sonic Hedgehog signalling pathway modulation of human urothelial tissue homeostasis Thomas Crighton PhD University of York Department of Biology November 2020 Abstract The urinary tract is lined by a barrier-forming, mitotically-quiescent urothelium, which retains the ability to regenerate following injury. Regulation of tissue homeostasis by Hippo and Sonic Hedgehog signalling has previously been implicated in various mammalian epithelia, but limited evidence exists as to their role in adult human urothelial physiology. Focussing on the Hippo pathway, the aims of this thesis were to characterise expression of said pathways in urothelium, determine what role the pathways have in regulating urothelial phenotype, and investigate whether the pathways are implicated in muscle-invasive bladder cancer (MIBC). These aims were assessed using a cell culture paradigm of Normal Human Urothelial (NHU) cells that can be manipulated in vitro to represent different differentiated phenotypes, alongside MIBC cell lines and The Cancer Genome Atlas resource. Transcriptomic analysis of NHU cells identified a significant induction of VGLL1, a poorly understood regulator of Hippo signalling, in differentiated cells. Activation of upstream transcription factors PPARγ and GATA3 and/or blockade of active EGFR/RAS/RAF/MEK/ERK signalling were identified as mechanisms which induce VGLL1 expression in NHU cells. Ectopic overexpression of VGLL1 in undifferentiated NHU cells and MIBC cell line T24 resulted in significantly reduced proliferation. Conversely, knockdown of VGLL1 in differentiated NHU cells significantly reduced barrier tightness in an unwounded state, while inhibiting regeneration and increasing cell cycle activation in scratch-wounded cultures. A signalling pathway previously observed to be inhibited by VGLL1 function, YAP/TAZ, was unaffected by VGLL1 manipulation. -
ARHGDIG / RHOGDI-3 Antibody (C-Terminus) Goat Polyclonal Antibody Catalog # ALS15383
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 ARHGDIG / RHOGDI-3 Antibody (C-Terminus) Goat Polyclonal Antibody Catalog # ALS15383 Specification ARHGDIG / RHOGDI-3 Antibody (C-Terminus) - Product Information Application WB, IHC Primary Accession Q99819 Reactivity Human, Monkey, Dog Host Goat Clonality Polyclonal Calculated MW 25kDa KDa ARHGDIG / RHOGDI-3 Antibody (C-Terminus) - Additional Information Gene ID 398 ARHGDIG antibody (0.5 ug/ml) staining of HeLa lysate (35 ug protein/ml in RIPA buffer). Other Names Rho GDP-dissociation inhibitor 3, Rho GDI 3, Rho-GDI gamma, ARHGDIG Target/Specificity Human ARHGDIG. Reconstitution & Storage Store at -20°C. Minimize freezing and thawing. Precautions ARHGDIG / RHOGDI-3 Antibody (C-Terminus) is for research use only and not for use in diagnostic or therapeutic procedures. Anti-ARHGDIG / RHOGDI-3 antibody IHC of human brain, cortex. ARHGDIG / RHOGDI-3 Antibody (C-Terminus) - Protein Information ARHGDIG / RHOGDI-3 Antibody (C-Terminus) - Background Name ARHGDIG Inhibits GDP/GTP exchange reaction of RhoB. Function Interacts specifically with the GDP- and Inhibits GDP/GTP exchange reaction of GTP-bound forms of post- translationally RhoB. Interacts specifically with the GDP- processed Rhob and Rhog proteins, both of and GTP-bound forms of post-translationally which show a growth-regulated expression in processed Rhob and Rhog proteins, both of mammalian cells. Stimulates the release of the which show a growth-regulated expression GDP-bound but not the GTP-bound RhoB in mammalian cells. Stimulates the release protein. Also inhibits the GDP/GTP exchange of of the GDP-bound but not the GTP-bound RhoB but shows less ability to inhibit the Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 RhoB protein. -
The Disruption Ofcelf6, a Gene Identified by Translational Profiling
2732 • The Journal of Neuroscience, February 13, 2013 • 33(7):2732–2753 Neurobiology of Disease The Disruption of Celf6, a Gene Identified by Translational Profiling of Serotonergic Neurons, Results in Autism-Related Behaviors Joseph D. Dougherty,1,2 Susan E. Maloney,1,2 David F. Wozniak,2 Michael A. Rieger,1,2 Lisa Sonnenblick,3,4,5 Giovanni Coppola,4 Nathaniel G. Mahieu,1 Juliet Zhang,6 Jinlu Cai,8 Gary J. Patti,1 Brett S. Abrahams,8 Daniel H. Geschwind,3,4,5 and Nathaniel Heintz6,7 Departments of 1Genetics and 2Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, 3UCLA Center for Autism Research and Treatment, Semel Institute for Neuroscience and Behavior, 4Program in Neurogenetics, Department of Neurology, and 5Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California 90095, 6Laboratory of Molecular Biology, Howard Hughes Medical Institute, and 7The GENSAT Project, Rockefeller University, New York, New York 10065, and 8Departments of Genetics and Neuroscience, Albert Einstein College of Medicine, New York, New York 10461 The immense molecular diversity of neurons challenges our ability to understand the genetic and cellular etiology of neuropsychiatric disorders. Leveraging knowledge from neurobiology may help parse the genetic complexity: identifying genes important for a circuit that mediates a particular symptom of a disease may help identify polymorphisms that contribute to risk for the disease as a whole. The serotonergic system has long been suspected in disorders that have symptoms of repetitive behaviors and resistance to change, including autism. We generated a bacTRAP mouse line to permit translational profiling of serotonergic neurons. -
Mir-34/449 Control Apical Actin Network Formation During Multiciliogenesis Through Small Gtpase Pathways
ARTICLE Received 7 Jul 2015 | Accepted 17 Aug 2015 | Published 18 Sep 2015 DOI: 10.1038/ncomms9386 OPEN miR-34/449 control apical actin network formation during multiciliogenesis through small GTPase pathways Benoıˆt Chevalier1,2,*, Anna Adamiok3,*, Olivier Mercey1,2,*, Diego R. Revinski3, Laure-Emmanuelle Zaragosi1,2, Andrea Pasini3, Laurent Kodjabachian3, Pascal Barbry1,2 & Brice Marcet1,2 Vertebrate multiciliated cells (MCCs) contribute to fluid propulsion in several biological processes. We previously showed that microRNAs of the miR-34/449 family trigger MCC differentiation by repressing cell cycle genes and the Notch pathway. Here, using human and Xenopus MCCs, we show that beyond this initial step, miR-34/449 later promote the assembly of an apical actin network, required for proper basal bodies anchoring. Identification of miR-34/449 targets related to small GTPase pathways led us to characterize R-Ras as a key regulator of this process. Protection of RRAS messenger RNA against miR-34/449 binding impairs actin cap formation and multiciliogenesis, despite a still active RhoA. We propose that miR-34/449 also promote relocalization of the actin binding protein Filamin-A, a known RRAS interactor, near basal bodies in MCCs. Our study illustrates the intricate role played by miR-34/449 in coordinating several steps of a complex differentiation programme by regulating distinct signalling pathways. 1 CNRS, Institut de Pharmacologie Mole´culaire et Cellulaire (IPMC), UMR-7275, 660 route des Lucioles, 06560 Sophia-Antipolis, France. 2 University of Nice-Sophia-Antipolis (UNS), Institut de Pharmacologie Mole´culaire et Cellulaire, 660 route des Lucioles, Valbonne, 06560 Sophia-Antipolis, France. -
Databases Featuring Genomic Sequence Alignment
D466–D470 Nucleic Acids Research, 2005, Vol. 33, Database issue doi:10.1093/nar/gki045 Improvements to GALA and dbERGE II: databases featuring genomic sequence alignment, annotation and experimental results Laura Elnitski1,2,*, Belinda Giardine1, Prachi Shah1, Yi Zhang1, Cathy Riemer1, Matthew Weirauch4, Richard Burhans1, Webb Miller1,3 and Ross C. Hardison2 1Department of Computer Science and Engineering, 2Department of Biochemistry and Molecular Biology and 3Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA and 4Department of Computer Science, University of California, Santa Cruz, CA 95064, USA Received August 14, 2004; Revised and Accepted September 28, 2004 ABSTRACT gene expression patterns, requires bioinformatic tools for organization and interpretation. Genome browsers, such as We describe improvements to two databases that give the UCSC Genome Browser (1,2), Ensembl (3) and Map access to information on genomic sequence similar- Viewer at NCBI (4), provide views of genes and genomic ities, functional elements in DNA and experimental regions with user-selected annotations. results that demonstrate those functions. GALA, the To provide querying capacity across data types, we devel- database of Genome ALignments and Annotations, is oped GALA, a Genome Alignment and Annotation database. now a set of interlinked relational databases for five The first release recorded whole-genome human–mouse align- vertebrate species, human, chimpanzee, mouse, rat ments along with extensive annotation of the human genome and chicken. For each species, GALA records pair- in a relational database (5). An example of the use of GALA is wise and multiple sequence alignments, scores to find highly conserved regions that do not code for proteins; derived from those alignments that reflect the likeli- some of these could have novel functions. -
Mesenchymal Stem Cells from Multiple Myeloma Patients Display Distinct Genomic Profile As Compared with Those from Normal Donors
Leukemia (2009) 23, 1515–1527 & 2009 Macmillan Publishers Limited All rights reserved 0887-6924/09 $32.00 www.nature.com/leu ORIGINAL ARTICLE Mesenchymal stem cells from multiple myeloma patients display distinct genomic profile as compared with those from normal donors M Garayoa1,5,6, JL Garcia1,2,6, C Santamaria3, A Garcia-Gomez1, JF Blanco4, A Pandiella1, JM Herna´ndez3, FM Sanchez-Guijo3,5, M-C del Can˜izo3,5, NC Gutie´rrez3, and JF San Miguel1,3,5 1Centro de Investigacio´n del Ca´ncer, Instituto de Biologı´a Molecular y Celular del Ca´ncer, Universidad de Salamanca-CSIC, Salamanca, Spain; 2Unidad de Investigacio´n, Instituto de Estudio de Ciencias de la Salud de Castilla y Leo´n (IECSCYL) – Hospital Universitario de Salamanca. Salamanca, Spain; 3Servicio de Hematologı´a. Hospital Universitario de Salamanca. Salamanca, Spain; 4Servicio de Traumatologı´a. Hospital Universitario de Salamanca. Salamanca, Spain and 5Centro en Red de Medicina Regenerativa y Terapia Celular de Castilla y Leo´n, Salamanca, Spain It is an open question whether in multiple myeloma (MM) bone directly by interactions of myeloma cells with BM stromal cells marrow stromal cells contain genomic alterations, which may and extracellular matrix proteins or indirectly by secretion of contribute to the pathogenesis of the disease. We conducted an array-based comparative genomic hybridization (array-CGH) soluble cytokine and growth factors by myeloma cells and/or analysis to compare the extent of unbalanced genomic altera- stromal cells. These interactions and growth factor circuits tions in mesenchymal stem cells from 21 myeloma patients ultimately lead to the activation of pleiotrophic signalling (MM-MSCs) and 12 normal donors (ND-MSCs) after in vitro cascades, which promote proliferation, cell survival, anti- culture expansion. -
Ventricular Tissue Culture Model for Cardiovascular
VENTRICULAR TISSUE CULTURE MODEL FOR CARDIOVASCULAR RESEARCH KRISTY PURNAMAWATI (B. Eng., NUS) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY NUS GRADUATE SCHOOL FOR INTEGRATIVE SCIENCES AND ENGINEERING NATIONAL UNIVERSITY OF SINGAPORE 2015 DECLARATION I hereby declare that this thesis is my original work and it has been written by me in its entirety. I have duly acknowledged all the sources of information which have been used in the thesis. This thesis has also not been previously submitted for any degree in any university. _________________________ Kristy Purnamawati 06 May 2015 ii ACKNOWLEDGEMENTS The completion of this thesis will not be possible without the kind and generous help from so many people both in Singapore and Germany. I wish to express my most sincere gratitude to my supervisors and mentors Dr. William Sun, Prof. E. Birgitte Lane, A/Prof. Cao Tong, Prof. Dr. Wolfram H. Zimmermann, Dr. Poh Loong Soong and Dr. Malte Tiburcy for their invaluable guidance, intellectual input and constant support throughout the course of my study. My special thanks go out to the Zimmermann lab in Göttingen for welcoming me to be part their lab for a good portion of the project. I would also like to thank A*STAR Graduate Academy (AGA), Deutsches Zentrum für Herz-Kreislauf-Forschung E.V. (DZHK) and Deutsche Forschungsgemeinschaft (DFG) for their financial support, as well as NGS, NUS for facilitating the multitudes of change that occurred throughout this PhD journey. This work was completed in 27 months, from conception to last day of data collection. I am very grateful to my family and friends for their love and encouragement. -
Biophysical Characterization of the Human K0513 Protein
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.18.158949; this version posted June 18, 2020. 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. 1 2 3 4 Biophysical characterization of the human K0513 protein 5 6 7 Ndivhuwo Nemukondeni, Data curation, Formal analysis, Methodology, Investigation, 8 Visualization, Writing – original draft1, Afolake Arowolo, Data curation, Formal analysis, 9 Methodology, Resources, Visualization, Writing – original draft, Writing – review & editing2, 10 Addmore Shonhai, Formal analysis, Funding acquisition, Resources, Visualization, Writing – 11 original draft, Writing – review & editing1, Tawanda Zininga, Conceptualization, Formal 12 analysis, Methodology, Project administration, Supervision, Visualization, Writing – original 13 draft, Writing – review & editing3, and Adélle Burger, Conceptualization, Data curation, Formal 14 analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, 15 Supervision, Visualization, Writing – original draft, Writing – review & editing1* 16 17 18 19 1Department of Biochemistry, School of Mathematical & Natural Sciences, University of 20 Venda, Private Bag X5050, Thohoyandou, 0950, South Africa 21 2 Department of medicine, University of Cape Town, Observatory,7925, South Africa 22 3Department of Biochemistry, Stellenbosch University, Stellenbosch, 7602, South Africa 23 24 25 *Corresponding author 26 Email: [email protected] / [email protected] (AB) 27 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.06.18.158949; this version posted June 18, 2020. 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. -
Gene Expression-Based Molecular Diagnostic System for Malignant
Imaging, Diagnosis, Prognosis Gene Expression-Based Molecular Diagnostic System for Malignant Gliomas Is Superior to Histological Diagnosis Mitsuaki Shirahata,1, 2 Kyoko Iwao-Koizumi,2 Sakae Saito,2 Noriko Ueno,2 Masashi Oda,1 Nobuo Hashimoto,1Jun A.Takahashi, 1and Kikuya Kato2 Abstract Purpose: Current morphology-based glioma classification methods do not adequately reflect the complex biology of gliomas, thus limiting their prognostic ability.In this study, we focused on anaplastic oligodendroglioma and glioblastoma, which typically follow distinct clinical courses.Our goal was to construct a clinically useful molecular diagnostic system based on gene expression profiling. Experimental Design: The expression of 3,456 genes in 32 patients, 12 and 20 of whom had prognostically distinct anaplastic oligodendroglioma and glioblastoma, respectively, was measured by PCR array.Next to unsupervised methods, we did supervised analysis using a weighted voting algorithm to construct a diagnostic system discriminating anaplastic oligodendroglioma from glioblastoma.The diagnostic accuracy of this system was evaluated by leave-one-out cross-validation.The clinical utility was tested on a microarray-based data set of 50 malignant gliomas from a previous study. Results: Unsupervised analysis showed divergent global gene expression patterns between the two tumor classes.A supervised binary classification model showed 100% (95% confidence interval, 89.4-100%) diagnostic accuracy by leave-one-out cross-validation using 168 diagnostic genes.Applied to a gene expression data set from a previous study, our model correlated better with outcome than histologic diagnosis, and also displayed 96.6% (28 of 29) consistency with the molecular classification scheme used for these histologically controversial gliomas in the original article.Furthermore, we observed that histologically diagnosed glioblastoma samples that shared anaplastic oligodendroglioma molecular characteristics tended to be associated with longer survival.