Supplementary Table 5. Gene List Submissions to the DAVID Functional Annotat
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
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. -
SUPPLEMENTARY MATERIAL Bone Morphogenetic Protein 4 Promotes
www.intjdevbiol.com doi: 10.1387/ijdb.160040mk SUPPLEMENTARY MATERIAL corresponding to: Bone morphogenetic protein 4 promotes craniofacial neural crest induction from human pluripotent stem cells SUMIYO MIMURA, MIKA SUGA, KAORI OKADA, MASAKI KINEHARA, HIROKI NIKAWA and MIHO K. FURUE* *Address correspondence to: Miho Kusuda Furue. Laboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki, Osaka 567-0085, Japan. Tel: 81-72-641-9819. Fax: 81-72-641-9812. E-mail: [email protected] Full text for this paper is available at: http://dx.doi.org/10.1387/ijdb.160040mk TABLE S1 PRIMER LIST FOR QRT-PCR Gene forward reverse AP2α AATTTCTCAACCGACAACATT ATCTGTTTTGTAGCCAGGAGC CDX2 CTGGAGCTGGAGAAGGAGTTTC ATTTTAACCTGCCTCTCAGAGAGC DLX1 AGTTTGCAGTTGCAGGCTTT CCCTGCTTCATCAGCTTCTT FOXD3 CAGCGGTTCGGCGGGAGG TGAGTGAGAGGTTGTGGCGGATG GAPDH CAAAGTTGTCATGGATGACC CCATGGAGAAGGCTGGGG MSX1 GGATCAGACTTCGGAGAGTGAACT GCCTTCCCTTTAACCCTCACA NANOG TGAACCTCAGCTACAAACAG TGGTGGTAGGAAGAGTAAAG OCT4 GACAGGGGGAGGGGAGGAGCTAGG CTTCCCTCCAACCAGTTGCCCCAAA PAX3 TTGCAATGGCCTCTCAC AGGGGAGAGCGCGTAATC PAX6 GTCCATCTTTGCTTGGGAAA TAGCCAGGTTGCGAAGAACT p75 TCATCCCTGTCTATTGCTCCA TGTTCTGCTTGCAGCTGTTC SOX9 AATGGAGCAGCGAAATCAAC CAGAGAGATTTAGCACACTGATC SOX10 GACCAGTACCCGCACCTG CGCTTGTCACTTTCGTTCAG Suppl. Fig. S1. Comparison of the gene expression profiles of the ES cells and the cells induced by NC and NC-B condition. Scatter plots compares the normalized expression of every gene on the array (refer to Table S3). The central line -
Identification of Key Genes and Pathways Involved in Response To
Deng et al. Biol Res (2018) 51:25 https://doi.org/10.1186/s40659-018-0174-7 Biological Research RESEARCH ARTICLE Open Access Identifcation of key genes and pathways involved in response to pain in goat and sheep by transcriptome sequencing Xiuling Deng1,2†, Dong Wang3†, Shenyuan Wang1, Haisheng Wang2 and Huanmin Zhou1* Abstract Purpose: This aim of this study was to investigate the key genes and pathways involved in the response to pain in goat and sheep by transcriptome sequencing. Methods: Chronic pain was induced with the injection of the complete Freund’s adjuvant (CFA) in sheep and goats. The animals were divided into four groups: CFA-treated sheep, control sheep, CFA-treated goat, and control goat groups (n 3 in each group). The dorsal root ganglions of these animals were isolated and used for the construction of a cDNA= library and transcriptome sequencing. Diferentially expressed genes (DEGs) were identifed in CFA-induced sheep and goats and gene ontology (GO) enrichment analysis was performed. Results: In total, 1748 and 2441 DEGs were identifed in CFA-treated goat and sheep, respectively. The DEGs identi- fed in CFA-treated goats, such as C-C motif chemokine ligand 27 (CCL27), glutamate receptor 2 (GRIA2), and sodium voltage-gated channel alpha subunit 3 (SCN3A), were mainly enriched in GO functions associated with N-methyl- D-aspartate (NMDA) receptor, infammatory response, and immune response. The DEGs identifed in CFA-treated sheep, such as gamma-aminobutyric acid (GABA)-related DEGs (gamma-aminobutyric acid type A receptor gamma 3 subunit [GABRG3], GABRB2, and GABRB1), SCN9A, and transient receptor potential cation channel subfamily V member 1 (TRPV1), were mainly enriched in GO functions related to neuroactive ligand-receptor interaction, NMDA receptor, and defense response. -
Cell-Specific Alterations in Pitx1 Regulatory Landscape Activation Caused 2 by the Loss of a Single Enhancer
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.10.434611; this version posted March 10, 2021. 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 Cell-specific alterations in Pitx1 regulatory landscape activation caused 2 by the loss of a single enhancer 3 4 5 Raquel Rouco1,2*, Olimpia Bompadre1,2*, Antonella Rauseo1,2, Olivier Fazio3, Fabrizio Thorel3, 6 Rodrigue Peraldi1,2, Guillaume Andrey1,2 7 8 9 1Department of Genetic Medicine and Development, Faculty of Medicine, University of 10 Geneva, Geneva, Switzerland 11 2Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, 12 Switzerland 13 3 Transgenesis Core Facility, Faculty of Medicine, University of Geneva, Geneva, Switzerland 14 15 *Authors contributed equally 16 Correspondence: [email protected] 17 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.10.434611; this version posted March 10, 2021. 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. 18 Abstract 19 20 Most developmental genes rely on multiple transcriptional enhancers for their accurate expression 21 during embryogenesis. Because enhancers may have partially redundant activities, the loss of one 22 of them often leads to a partial loss of gene expression and concurrent moderate phenotypic 23 outcome, if any. -
Ion Channels
UC Davis UC Davis Previously Published Works Title THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels. Permalink https://escholarship.org/uc/item/1442g5hg Journal British journal of pharmacology, 176 Suppl 1(S1) ISSN 0007-1188 Authors Alexander, Stephen PH Mathie, Alistair Peters, John A et al. Publication Date 2019-12-01 DOI 10.1111/bph.14749 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: Ion channels. British Journal of Pharmacology (2019) 176, S142–S228 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channels Stephen PH Alexander1 , Alistair Mathie2 ,JohnAPeters3 , Emma L Veale2 , Jörg Striessnig4 , Eamonn Kelly5, Jane F Armstrong6 , Elena Faccenda6 ,SimonDHarding6 ,AdamJPawson6 , Joanna L Sharman6 , Christopher Southan6 , Jamie A Davies6 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 3Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 4Pharmacology and Toxicology, Institute of Pharmacy, University of Innsbruck, A-6020 Innsbruck, Austria 5School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 6Centre for Discovery Brain Science, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. -
Genetic Mechanisms of Pitx1 Action in Murine Hindlimb Development
1 Genetic mechanisms of Pitx1 action in murine hindlimb development Stephen Nemec, Division of Experimental Medicine, McGill University, Montreal August 2017 A thesis submitted to McGill University in partial fulfillment of the degree of PhD © Stephen Nemec 2017 2 Table of Contents Contents Page Abstract 4 Acknowledgements 8 Abbreviations 9 Preface – Contribution to knowledge 10 Contribution of authors 11 Introduction 13 Figures 1 and 2: Basics of limb anatomy and development 13 Evolutionary origins of the limb 14 Chick embryology and the early study of the limb 16 Molecular limb development 21 Hox genes – Engines of limb development 25 The genetics of forelimb vs. hindlimb development 30 Pitx1: major regulator of HL-specific pattern 30 Tbx4 and Tbx5 – limb-type-specific Tbox paralogs 35 Tbx4, Tbx5 and developmental anomalies in humans 41 Pitx1 Tbx4 42 Purpose and Aims 45 Pitx1 directly modulates the core limb development 46 program to implement hindlimb identity Contributions 47 Abstract 48 Introduction 49 Results 51 Discussion 60 Materials and Methods 65 Figure Legends 69 Figures 74 Interlude A – From Sox9 to signaling 89 Shh signaling influences the 91 phenotype of Pitx1-/- hindlimbs Contributions 92 Abstract 93 Introduction 94 Results 96 Discussion 98 Materials and Methods 100 Figure Legends 102 Figures 104 Interlude B – Regulatory complexity and developmental constraints 110 3 Table of Contents (continued) Contents Page Regulatory integration of Hox factor action with 111 Tbox factors in limb development Contributions 112 Abstract 113 Introduction 114 Results 116 Discussion 124 Materials and Methods 128 Figure Legends 134 Figures 141 Discussion 152 Evolutionary constraints determine the 152 developmental roles of limb-type-specific genes Future Directions 156 References 159 4 Abstract In tetrapods, the forelimbs (FL) and hindlimbs (HL) emerge from the flank of the developing embryo as buds of mesenchyme sheathed in ectoderm. -
Nicotine Dependece
Alma Mater Studiorum – Università di Bologna DOTTORATO DI RICERCA IN Biologia Cellulare e Molecolare Ciclo XXX Settore Concorsuale: 05/I1 Settore Scientifico Disciplinare: BIO/18 GENETICA Investigation of genetic risk variants for nicotine dependence and cluster headache Presentata da: Cinzia Cameli Coordinatore Dottorato Supervisore Prof. Giovanni Capranico Prof.ssa Elena Maestrini Co-supervisore Dott.ssa Elena Bacchelli Esame finale anno 2018 TABLE OF CONTENTS ABSTRACT......................................................................................................................... 4 INTRODUCTION ................................................................................................................ 6 CHAPTER 1 Nicotine dependence ...................................................................................... 6 1.1 Biological mechanisms ............................................................................................................ 6 1.2 Nicotinic acetylcholine receptors ............................................................................................ 8 1.2.1 Protein structure ............................................................................................................. 8 1.2.2 Localization and function of neuronal nAChRs ............................................................. 10 1.2.3 α7 nAChRs ..................................................................................................................... 12 1.3 The genetics of nicotine dependence .................................................................................. -
Apoptotic Cells Inflammasome Activity During the Uptake of Macrophage
Downloaded from http://www.jimmunol.org/ by guest on September 29, 2021 is online at: average * The Journal of Immunology , 26 of which you can access for free at: 2012; 188:5682-5693; Prepublished online 20 from submission to initial decision 4 weeks from acceptance to publication April 2012; doi: 10.4049/jimmunol.1103760 http://www.jimmunol.org/content/188/11/5682 Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E. Benoit, Elizabeth V. Clarke, Pedro Morgado, Deborah A. Fraser and Andrea J. Tenner J Immunol cites 56 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription http://www.jimmunol.org/content/suppl/2012/04/20/jimmunol.110376 0.DC1 This article http://www.jimmunol.org/content/188/11/5682.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 © 2012 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 29, 2021. The Journal of Immunology Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E. -
A Three-Dimensional Organoid Model Recapitulates Tumorigenic Aspects
www.nature.com/scientificreports OPEN A three-dimensional organoid model recapitulates tumorigenic aspects and drug responses of Received: 22 June 2018 Accepted: 10 October 2018 advanced human retinoblastoma Published: xx xx xxxx Duangporn Saengwimol1, Duangnate Rojanaporn2, Vijender Chaitankar3, Pamorn Chittavanich4, Rangsima Aroonroch5, Tatpong Boontawon4, Weerin Thammachote4, Natini Jinawath4, Suradej Hongeng6 & Rossukon Kaewkhaw4 Persistent or recurrent retinoblastoma (RB) is associated with the presence of vitreous or/and subretinal seeds in advanced RB and represents a major cause of therapeutic failure. This necessitates the development of novel therapies and thus requires a model of advanced RB for testing candidate therapeutics. To this aim, we established and characterized a three-dimensional, self-organizing organoid model derived from chemotherapy-naïve tumors. The responses of organoids to drugs were determined and compared to relate organoid model to advanced RB, in terms of drug sensitivities. We found that organoids had histological features resembling retinal tumors and seeds and retained DNA copy-number alterations as well as gene and protein expression of the parental tissue. Cone signal circuitry (M/L+ cells) and glial tumor microenvironment (GFAP+ cells) were primarily present in organoids. Topotecan alone or the combined drug regimen of topotecan and melphalan efectively targeted proliferative tumor cones (RXRγ+ Ki67+) in organoids after 24-h drug exposure, blocking mitotic entry. In contrast, methotrexate showed the least efcacy against tumor cells. The drug responses of organoids were consistent with those of tumor cells in advanced disease. Patient-derived organoids enable the creation of a faithful model to use in examining novel therapeutics for RB. Retinoblastoma (RB) is a serious childhood retinal tumor that, if lef untreated, can cause death within 1–2 years. -
Liebenberg Syndrome
Liebenberg syndrome Description Liebenberg syndrome is a condition that involves abnormal development of the arms, resulting in characteristic arm malformations that can vary in severity. In people with this condition, bones and other tissues in the elbows, forearms, wrists, and hands have characteristics of related structures in the lower limbs. For example, bones in the elbows are abnormally shaped, which affects mobility of the joints. The stiff elbows function more like knees, unable to rotate as freely as elbows normally do. Bones in the wrists are joined together (fused), forming structures that resemble those in the ankles and heels and causing permanent bending of the hand toward the thumb (radial deviation). The bones in the hands (metacarpals) are longer than normal, and the fingers are short (brachydactyly), similar to the proportions of bones found in the feet. In addition, muscles and tendons that are typically found only in the hands and not in the feet are missing in people with Liebenberg syndrome. Affected individuals also have joint deformities (contractures) that limit movement of the elbows, wrists, and hands. Development of the lower limbs is normal in people with this condition. Individuals with Liebenberg syndrome have no other health problems related to this condition, and life expectancy is normal. Frequency Liebenberg syndrome is a rare condition. Fewer than 10 affected families have been described in the medical literature. Causes Liebenberg syndrome is caused by genetic changes near the PITX1 gene. The protein produced from this gene plays a critical role in lower limb development by controlling the activity of other genes involved in limb development, directing the shape and structure of bones and other tissues in the legs and feet. -
Sean Raspet – Molecules
1. Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Molecular weight: 240.39 g/mol Volume (cubic Angstroems): 258.88 Atoms number (non-hydrogen): 17 miLogP: 4.43 Structure: Biological Properties: Predicted Druglikenessi: GPCR ligand -0.23 Ion channel modulator -0.03 Kinase inhibitor -0.6 Nuclear receptor ligand 0.15 Protease inhibitor -0.28 Enzyme inhibitor 0.15 Commercial name: Fructaplex© IUPAC Name: 2-(3,3-dimethylcyclohexyl)-2,5,5-trimethyl-1,3-dioxane SMILES: CC1(C)CCCC(C1)C2(C)OCC(C)(C)CO2 Predicted Olfactory Receptor Activityii: OR2L13 83.715% OR1G1 82.761% OR10J5 80.569% OR2W1 78.180% OR7A2 77.696% 2. Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Molecular weight: 239.36 Volume (cubic Angstroems): 252.83 Atoms number (non-hydrogen): 17 miLogP: 4.33 Structure: Biological Properties: Predicted Druglikeness: GPCR ligand -0.6 Ion channel modulator -0.41 Kinase inhibitor -0.93 Nuclear receptor ligand -0.17 Protease inhibitor -0.39 Enzyme inhibitor 0.01 Commercial name: Sylvoxime© IUPAC Name: N-[4-(1-ethoxyethenyl)-3,3,5,5tetramethylcyclohexylidene]hydroxylamine SMILES: CCOC(=C)C1C(C)(C)CC(CC1(C)C)=NO Predicted Olfactory Receptor Activity: OR52D1 71.900% OR1G1 70.394% 0R52I2 70.392% OR52I1 70.390% OR2Y1 70.378% 3. Commercial name: Hyperflor© IUPAC Name: 2-benzyl-1,3-dioxan-5-one SMILES: O=C1COC(CC2=CC=CC=C2)OC1 Molecular weight: 192.21 g/mol Volume -
Epigenetic Mechanisms Are Involved in the Oncogenic Properties of ZNF518B in Colorectal Cancer
Epigenetic mechanisms are involved in the oncogenic properties of ZNF518B in colorectal cancer Francisco Gimeno-Valiente, Ángela L. Riffo-Campos, Luis Torres, Noelia Tarazona, Valentina Gambardella, Andrés Cervantes, Gerardo López-Rodas, Luis Franco and Josefa Castillo SUPPLEMENTARY METHODS 1. Selection of genomic sequences for ChIP analysis To select the sequences for ChIP analysis in the five putative target genes, namely, PADI3, ZDHHC2, RGS4, EFNA5 and KAT2B, the genomic region corresponding to the gene was downloaded from Ensembl. Then, zoom was applied to see in detail the promoter, enhancers and regulatory sequences. The details for HCT116 cells were then recovered and the target sequences for factor binding examined. Obviously, there are not data for ZNF518B, but special attention was paid to the target sequences of other zinc-finger containing factors. Finally, the regions that may putatively bind ZNF518B were selected and primers defining amplicons spanning such sequences were searched out. Supplementary Figure S3 gives the location of the amplicons used in each gene. 2. Obtaining the raw data and generating the BAM files for in silico analysis of the effects of EHMT2 and EZH2 silencing The data of siEZH2 (SRR6384524), siG9a (SRR6384526) and siNon-target (SRR6384521) in HCT116 cell line, were downloaded from SRA (Bioproject PRJNA422822, https://www.ncbi. nlm.nih.gov/bioproject/), using SRA-tolkit (https://ncbi.github.io/sra-tools/). All data correspond to RNAseq single end. doBasics = TRUE doAll = FALSE $ fastq-dump -I --split-files SRR6384524 Data quality was checked using the software fastqc (https://www.bioinformatics.babraham. ac.uk /projects/fastqc/). The first low quality removing nucleotides were removed using FASTX- Toolkit (http://hannonlab.cshl.edu/fastxtoolkit/).