Toxicogenomic Approach to Impact Assessment of Whole Wastewater Effluents and Development of Effluent- Title Responsive Biomarker
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Figure S1. DMD Module Network. the Network Is Formed by 260 Genes from Disgenet and 1101 Interactions from STRING. Red Nodes Are the Five Seed Candidate Genes
Figure S1. DMD module network. The network is formed by 260 genes from DisGeNET and 1101 interactions from STRING. Red nodes are the five seed candidate genes. Figure S2. DMD module network is more connected than a random module of the same size. It is shown the distribution of the largest connected component of 10.000 random modules of the same size of the DMD module network. The green line (x=260) represents the DMD largest connected component, obtaining a z-score=8.9. Figure S3. Shared genes between BMD and DMD signature. A) A meta-analysis of three microarray datasets (GSE3307, GSE13608 and GSE109178) was performed for the identification of differentially expressed genes (DEGs) in BMD muscle biopsies as compared to normal muscle biopsies. Briefly, the GSE13608 dataset included 6 samples of skeletal muscle biopsy from healthy people and 5 samples from BMD patients. Biopsies were taken from either biceps brachii, triceps brachii or deltoid. The GSE3307 dataset included 17 samples of skeletal muscle biopsy from healthy people and 10 samples from BMD patients. The GSE109178 dataset included 14 samples of controls and 11 samples from BMD patients. For both GSE3307 and GSE10917 datasets, biopsies were taken at the time of diagnosis and from the vastus lateralis. For the meta-analysis of GSE13608, GSE3307 and GSE109178, a random effects model of effect size measure was used to integrate gene expression patterns from the two datasets. Genes with an adjusted p value (FDR) < 0.05 and an │effect size│>2 were identified as DEGs and selected for further analysis. A significant number of DEGs (p<0.001) were in common with the DMD signature genes (blue nodes), as determined by a hypergeometric test assessing the significance of the overlap between the BMD DEGs and the number of DMD signature genes B) MCODE analysis of the overlapping genes between BMD DEGs and DMD signature genes. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
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. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
(12) Patent Application Publication (10) Pub. No.: US 2003/0082511 A1 Brown Et Al
US 20030082511A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2003/0082511 A1 Brown et al. (43) Pub. Date: May 1, 2003 (54) IDENTIFICATION OF MODULATORY Publication Classification MOLECULES USING INDUCIBLE PROMOTERS (51) Int. Cl." ............................... C12O 1/00; C12O 1/68 (52) U.S. Cl. ..................................................... 435/4; 435/6 (76) Inventors: Steven J. Brown, San Diego, CA (US); Damien J. Dunnington, San Diego, CA (US); Imran Clark, San Diego, CA (57) ABSTRACT (US) Correspondence Address: Methods for identifying an ion channel modulator, a target David B. Waller & Associates membrane receptor modulator molecule, and other modula 5677 Oberlin Drive tory molecules are disclosed, as well as cells and vectors for Suit 214 use in those methods. A polynucleotide encoding target is San Diego, CA 92121 (US) provided in a cell under control of an inducible promoter, and candidate modulatory molecules are contacted with the (21) Appl. No.: 09/965,201 cell after induction of the promoter to ascertain whether a change in a measurable physiological parameter occurs as a (22) Filed: Sep. 25, 2001 result of the candidate modulatory molecule. Patent Application Publication May 1, 2003 Sheet 1 of 8 US 2003/0082511 A1 KCNC1 cDNA F.G. 1 Patent Application Publication May 1, 2003 Sheet 2 of 8 US 2003/0082511 A1 49 - -9 G C EH H EH N t R M h so as se W M M MP N FIG.2 Patent Application Publication May 1, 2003 Sheet 3 of 8 US 2003/0082511 A1 FG. 3 Patent Application Publication May 1, 2003 Sheet 4 of 8 US 2003/0082511 A1 KCNC1 ITREXCHO KC 150 mM KC 2000000 so 100 mM induced Uninduced Steady state O 100 200 300 400 500 600 700 Time (seconds) FIG. -
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. -
UGT1A7 and UGT1A9 Polymorphisms Predict Response and Toxicity in Colorectal Cancer Patients Treated with Capecitabine/Irinotecan
1226 Vol. 11, 1226–1236, February 1, 2005 Clinical Cancer Research UGT1A7 and UGT1A9 Polymorphisms Predict Response and Toxicity in Colorectal Cancer Patients Treated with Capecitabine/Irinotecan Leslie E. Carlini,1 Neal J. Meropol,1 John Bever,2 irinotecan. Specifically, patients with genotypes conferring Michael L. Andria,2 Todd Hill,2 Philip Gold,3 low UGT1A7 activity and/or the UGT1A9 (dT)9/9 genotype may be particularly likely to exhibit greater antitumor Andre Rogatko,1 Hao Wang,1 and response with little toxicity. Rebecca L. Blanchard1 1 2 Fox Chase Cancer Center, Philadelphia, Pennsylvania; Roche INTRODUCTION Laboratories, Inc., Nutley, New Jersey; and 3Swedish Cancer Institute, Seattle, Washington Colorectal cancer (CRC) is the third most common cancer in both men and women and the third most prevalent cause of cancer-related death (1). A common approach to the systemic ABSTRACT management of metastatic colorectal cancer is a combination Purpose: Capecitabine and irinotecan are commonly of fluoropyrimidine (e.g., 5-fluorouracil or capecitabine) used in the treatment of metastatic colorectal cancer (CRC). and irinotecan (reviewed in ref. 2). Fluoropyrimidines act We hypothesized that germline polymorphisms within genes primarily through the inhibition of thymidylate synthase (TS), related to drug target (thymidylate synthase) or metabolizing resulting in impaired DNA synthesis and cell death. Irinotecan is enzymes (UDP-glucuronosyltransferase, UGT) would impact a camptothecin compound that inhibits DNA topoisomerase I, response and toxicity to the combination of capecitabine plus resulting in an accumulation of DNA damage and cell death. irinotecan (CPT-11). Irinotecan is a prodrug that undergoes conversion by liver Experimental Design: Sixty-seven patients with measur- carboxylesterases to form the active compound SN-38, 7-ethyl- able CRC were treated with irinotecan i.v. -
Nutrigenomics
Nutrigenomics Carsten Carlberg • Stine Marie Ulven Ferdinand Molnár Nutrigenomics Carsten Carlberg Stine Marie Ulven Institute of Biomedicine Department of Nutrition University of Eastern Finland University of Oslo Kuopio , Finland Oslo , Norway Ferdinand Molnár School of Pharmacy University of Easterm Finland Kuopio , Finland ISBN 978-3-319-30413-7 ISBN 978-3-319-30415-1 (eBook) DOI 10.1007/978-3-319-30415-1 Library of Congress Control Number: 2016939131 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifi cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfi lms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specifi c statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland Pref ace Our daily diet is more than a collection of carbohydrates, lipids and proteins that provide energy and serve as building blocks of our life; our diet is also the most dominant environmental signal to which we are exposed from womb to death. -
Novel Copy-Number Variations in Pharmacogenes Contribute to Interindividual Differences in Drug Pharmacokinetics
ORIGINAL RESEARCH ARTICLE © American College of Medical Genetics and Genomics Novel copy-number variations in pharmacogenes contribute to interindividual differences in drug pharmacokinetics María Santos, MSc1, Mikko Niemi, PhD2, Masahiro Hiratsuka, PhD3, Masaki Kumondai, BSc3, Magnus Ingelman-Sundberg, PhD4, Volker M. Lauschke, PhD4 and Cristina Rodríguez-Antona, PhD1,5 Purpose: Variability in pharmacokinetics and drug response is of the genes studied. We experimentally confirmed novel deletions shaped by single-nucleotide variants (SNVs) as well as copy- in CYP2C19, CYP4F2, and SLCO1B3 by Sanger sequencing and number variants (CNVs) in genes with importance for drug validated their allelic frequencies in selected populations. absorption, distribution, metabolism, and excretion (ADME). Conclusion: CNVs are an additional source of pharmacogenetic While SNVs have been extensively studied, a systematic assessment variability with important implications for drug response and of the CNV landscape in ADME genes is lacking. personalized therapy. This, together with the important contribu- Methods: We integrated data from 2,504 whole genomes from the tion of rare alleles to the variability of pharmacogenes, emphasizes 1000 Genomes Project and 59,898 exomes from the Exome the necessity of comprehensive next-generation sequencing–based Aggregation Consortium to identify CNVs in 208 relevant genotype identification for an accurate prediction of the genetic pharmacogenes. variability of drug pharmacokinetics. Results: We describe novel exonic deletions -
Endogenous Protein Interactome of Human UDP-Glucuronosyltransferases Exposed by Untargeted Proteomics
ORIGINAL RESEARCH published: 03 February 2017 doi: 10.3389/fphar.2017.00023 Endogenous Protein Interactome of Human UDP-Glucuronosyltransferases Exposed by Untargeted Proteomics Michèle Rouleau, Yannick Audet-Delage, Sylvie Desjardins, Mélanie Rouleau, Camille Girard-Bock and Chantal Guillemette * Pharmacogenomics Laboratory, Canada Research Chair in Pharmacogenomics, Faculty of Pharmacy, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec, QC, Canada The conjugative metabolism mediated by UDP-glucuronosyltransferase enzymes (UGTs) significantly influences the bioavailability and biological responses of endogenous molecule substrates and xenobiotics including drugs. UGTs participate in the regulation of cellular homeostasis by limiting stress induced by toxic molecules, and by Edited by: controlling hormonal signaling networks. Glucuronidation is highly regulated at genomic, Yuji Ishii, transcriptional, post-transcriptional and post-translational levels. However, the UGT Kyushu University, Japan protein interaction network, which is likely to influence glucuronidation, has received Reviewed by: little attention. We investigated the endogenous protein interactome of human UGT1A Ben Lewis, Flinders University, Australia enzymes in main drug metabolizing non-malignant tissues where UGT expression is Shinichi Ikushiro, most prevalent, using an unbiased proteomics approach. Mass spectrometry analysis Toyama Prefectural University, Japan of affinity-purified UGT1A enzymes and associated protein complexes in liver, -
Supplemental Table S1. Primers for Sybrgreen Quantitative RT-PCR Assays
Supplemental Table S1. Primers for SYBRGreen quantitative RT-PCR assays. Gene Accession Primer Sequence Length Start Stop Tm GC% GAPDH NM_002046.3 GAPDH F TCCTGTTCGACAGTCAGCCGCA 22 39 60 60.43 59.09 GAPDH R GCGCCCAATACGACCAAATCCGT 23 150 128 60.12 56.52 Exon junction 131/132 (reverse primer) on template NM_002046.3 DNAH6 NM_001370.1 DNAH6 F GGGCCTGGTGCTGCTTTGATGA 22 4690 4711 59.66 59.09% DNAH6 R TAGAGAGCTTTGCCGCTTTGGCG 23 4797 4775 60.06 56.52% Exon junction 4790/4791 (reverse primer) on template NM_001370.1 DNAH7 NM_018897.2 DNAH7 F TGCTGCATGAGCGGGCGATTA 21 9973 9993 59.25 57.14% DNAH7 R AGGAAGCCATGTACAAAGGTTGGCA 25 10073 10049 58.85 48.00% Exon junction 9989/9990 (forward primer) on template NM_018897.2 DNAI1 NM_012144.2 DNAI1 F AACAGATGTGCCTGCAGCTGGG 22 673 694 59.67 59.09 DNAI1 R TCTCGATCCCGGACAGGGTTGT 22 822 801 59.07 59.09 Exon junction 814/815 (reverse primer) on template NM_012144.2 RPGRIP1L NM_015272.2 RPGRIP1L F TCCCAAGGTTTCACAAGAAGGCAGT 25 3118 3142 58.5 48.00% RPGRIP1L R TGCCAAGCTTTGTTCTGCAAGCTGA 25 3238 3214 60.06 48.00% Exon junction 3124/3125 (forward primer) on template NM_015272.2 Supplemental Table S2. Transcripts that differentiate IPF/UIP from controls at 5%FDR Fold- p-value Change Transcript Gene p-value p-value p-value (IPF/UIP (IPF/UIP Cluster ID RefSeq Symbol gene_assignment (Age) (Gender) (Smoking) vs. C) vs. C) NM_001178008 // CBS // cystathionine-beta- 8070632 NM_001178008 CBS synthase // 21q22.3 // 875 /// NM_0000 0.456642 0.314761 0.418564 4.83E-36 -2.23 NM_003013 // SFRP2 // secreted frizzled- 8103254 NM_003013 -
GSTP1 Is a Driver of Triple-Negative Breast Cancer Cell Metabolism and Pathogenicity
Article GSTP1 Is a Driver of Triple-Negative Breast Cancer Cell Metabolism and Pathogenicity Graphical Abstract Authors Sharon M. Louie, Elizabeth A. Grossman, Lisa A. Crawford, ..., Andrei Goga, Eranthie Weerapana, Daniel K. Nomura Correspondence [email protected] In Brief Using a reactivity-based chemoproteomic platform, Louie et al. have identified GSTP1 as a triple-negative breast cancer target that, when inhibited, impairs breast cancer pathogenicity through inhibiting GAPDH activity and downstream metabolism and signaling pathways. Highlights d We used chemoproteomics to profile metabolic drivers of breast cancer d GSTP1 is a novel triple-negative breast cancer-specific target d GSTP1 inhibition impairs triple-negative breast cancer pathogenicity d GSTP1 inhibition impairs GAPDH activity to affect metabolism and signaling Louie et al., 2016, Cell Chemical Biology 23, 1–12 May 19, 2016 ª 2016 Elsevier Ltd. http://dx.doi.org/10.1016/j.chembiol.2016.03.017 Please cite this article in press as: Louie et al., GSTP1 Is a Driver of Triple-Negative Breast Cancer Cell Metabolism and Pathogenicity, Cell Chemical Biology (2016), http://dx.doi.org/10.1016/j.chembiol.2016.03.017 Cell Chemical Biology Article GSTP1 Is a Driver of Triple-Negative Breast Cancer Cell Metabolism and Pathogenicity Sharon M. Louie,1 Elizabeth A. Grossman,1 Lisa A. Crawford,2 Lucky Ding,1 Roman Camarda,3 Tucker R. Huffman,1 David K. Miyamoto,1 Andrei Goga,3 Eranthie Weerapana,2 and Daniel K. Nomura1,* 1Departments of Chemistry and Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA 2Department of Chemistry, Boston College, Chestnut Hill, MA 02467, USA 3Department of Cell and Tissue Biology and Medicine, University of California, San Francisco, San Francisco, CA 94143, USA *Correspondence: [email protected] http://dx.doi.org/10.1016/j.chembiol.2016.03.017 SUMMARY subtypes that are correlated with heightened malignancy and poor prognosis remain poorly understood.