Protein Aggregation Patterns Inform About Breast Cancer Response to Antiestrogens and Reveal the RNA Ligase RTCB As Mediator of Acquired Tamoxifen Resistance
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Translational Resistance of Late Alphavirus Mrna to Eif2␣ Phosphorylation: a Strategy to Overcome the Antiviral Effect of Protein Kinase PKR
Downloaded from genesdev.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press Translational resistance of late alphavirus mRNA to eIF2␣ phosphorylation: a strategy to overcome the antiviral effect of protein kinase PKR Iván Ventoso,1,3 Miguel Angel Sanz,2 Susana Molina,2 Juan José Berlanga,2 Luis Carrasco,2 and Mariano Esteban1 1Departamento de Biología Molecular y Celular, Centro Nacional de Biotecnología/CSIC, Cantoblanco, E-28049 Madrid, Spain; 2Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Facultad de Ciencias, Cantoblanco, E-28049 Madrid, Spain The double-stranded RNA-dependent protein kinase (PKR) is one of the four mammalian kinases that phosphorylates the translation initiation factor 2␣ in response to virus infection. This kinase is induced by interferon and activated by double-stranded RNA (dsRNA). Phosphorylation of eukaryotic initiation factor 2␣ (eIF2␣) blocks translation initiation of both cellular and viral mRNA, inhibiting virus replication. To counteract this effect, most viruses express inhibitors that prevent PKR activation in infected cells. Here we report that PKR is highly activated following infection with alphaviruses Sindbis (SV) and Semliki Forest virus (SFV), leading to the almost complete phosphorylation of eIF2␣. Notably, subgenomic SV 26S mRNA is translated efficiently in the presence of phosphorylated eIF2␣. This modification of eIF2 does not restrict viral replication; SV 26S mRNA initiates translation with canonical methionine in the presence of high levels of phosphorylated eIF2␣. Genetic and biochemical data showed a highly stable RNA hairpin loop located downstream of the AUG initiator codon that is necessary to provide translational resistance to eIF2␣ phosphorylation. This structure can stall the ribosomes on the correct site to initiate translation of SV 26S mRNA, thus bypassing the requirement for a functional eIF2. -
Reprogramming of Trna Modifications Controls the Oxidative Stress Response by Codon-Biased Translation of Proteins
Reprogramming of tRNA modifications controls the oxidative stress response by codon-biased translation of proteins The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Chan, Clement T.Y. et al. “Reprogramming of tRNA Modifications Controls the Oxidative Stress Response by Codon-biased Translation of Proteins.” Nature Communications 3 (2012): 937. As Published http://dx.doi.org/10.1038/ncomms1938 Publisher Nature Publishing Group Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/76775 Terms of Use Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. Reprogramming of tRNA modifications controls the oxidative stress response by codon-biased translation of proteins Clement T.Y. Chan,1,2 Yan Ling Joy Pang,1 Wenjun Deng,1 I. Ramesh Babu,1 Madhu Dyavaiah,3 Thomas J. Begley3 and Peter C. Dedon1,4* 1Department of Biological Engineering, 2Department of Chemistry and 4Center for Environmental Health Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139; 3College of Nanoscale Science and Engineering, University at Albany, SUNY, Albany, NY 12203 * Corresponding author: PCD, Department of Biological Engineering, NE47-277, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139; tel 617-253-8017; fax 617-324-7554; email [email protected] 2 ABSTRACT Selective translation of survival proteins is an important facet of cellular stress response. We recently demonstrated that this translational control involves a stress-specific reprogramming of modified ribonucleosides in tRNA. -
Allele-Specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish
Allele-specific Expression of Ribosomal Protein Genes in Interspecific Hybrid Catfish by Ailu Chen A dissertation submitted to the Graduate Faculty of Auburn University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy Auburn, Alabama August 1, 2015 Keywords: catfish, interspecific hybrids, allele-specific expression, ribosomal protein Copyright 2015 by Ailu Chen Approved by Zhanjiang Liu, Chair, Professor, School of Fisheries, Aquaculture and Aquatic Sciences Nannan Liu, Professor, Entomology and Plant Pathology Eric Peatman, Associate Professor, School of Fisheries, Aquaculture and Aquatic Sciences Aaron M. Rashotte, Associate Professor, Biological Sciences Abstract Interspecific hybridization results in a vast reservoir of allelic variations, which may potentially contribute to phenotypical enhancement in the hybrids. Whether the allelic variations are related to the downstream phenotypic differences of interspecific hybrid is still an open question. The recently developed genome-wide allele-specific approaches that harness high- throughput sequencing technology allow direct quantification of allelic variations and gene expression patterns. In this work, I investigated allele-specific expression (ASE) pattern using RNA-Seq datasets generated from interspecific catfish hybrids. The objective of the study is to determine the ASE genes and pathways in which they are involved. Specifically, my study investigated ASE-SNPs, ASE-genes, parent-of-origins of ASE allele and how ASE would possibly contribute to heterosis. My data showed that ASE was operating in the interspecific catfish system. Of the 66,251 and 177,841 SNPs identified from the datasets of the liver and gill, 5,420 (8.2%) and 13,390 (7.5%) SNPs were identified as significant ASE-SNPs, respectively. -
Supplemental Data
SUPPLEMENTAL INFORMATION Glomerular cell crosstalk influences composition and assembly of extracellular matrix Adam Byron,1,*,† Michael J. Randles,1,2,† Jonathan D. Humphries,1 Aleksandr Mironov,1 Hellyeh Hamidi,1 Shelley Harris,2 Peter W. Mathieson,3 Moin A. Saleem,3 Simon S. Satchell,3 Roy Zent,4,5 Martin J. Humphries,1 and Rachel Lennon.1,2 1Wellcome Trust Centre for Cell-Matrix Research, Faculty of Life Sciences, University of Manchester, Manchester, UK; 2Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK; 3Academic Renal Unit, Faculty of Medicine and Dentistry, University of Bristol, Bristol, UK; 4Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; and 5Veterans Affairs Hospital, Nashville, TN, USA. *Present address: Edinburgh Cancer Research UK Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK. †These authors contributed equally to this work. Corresponding author: Dr Rachel Lennon, Wellcome Trust Centre for Cell-Matrix Research, Michael Smith Building, University of Manchester, Manchester M13 9PT, UK. Phone: 0044 (0) 161 2755498. Fax: 0044 (0) 161 2755082. Email: [email protected] Supplementary methods Non-glomerular cell culture HEK 293T and human foreskin fibroblasts were cultured until confluent in Dulbecco's Modified Eagle Medium supplemented with 10% foetal calf serum. Lentiviral production and transduction Podocytes stably expressing GFP were produced by lentiviral transduction. Briefly, HEK 293T cells were transfected with three plasmids obtained from Addgene (psPAX2 Addgene ID 12260, pMD2.G Addgene ID 12259 and pWPXL Addgene ID 12257) using polyethyleneimine (Sigma-Aldrich). Conditioned medium containing viruses was collected after 5 days following several media changes including an 8 hr incubation with sodium butyrate- containing media to promote virus production. -
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. -
Deamidation of Human Proteins
Deamidation of human proteins N. E. Robinson*† and A. B. Robinson‡ *Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125; and ‡Oregon Institute of Science and Medicine, Cave Junction, OR 97523 Communicated by Frederick Seitz, The Rockefeller University, New York, NY, August 31, 2001 (received for review May 8, 2001) Deamidation of asparaginyl and glutaminyl residues causes time- 3D structure is known (23). This method is more than 95% dependent changes in charge and conformation of peptides and reliable in predicting relative deamidation rates of Asn residues proteins. Quantitative and experimentally verified predictive cal- within a single protein and is also useful for the prediction of culations of the deamidation rates of 1,371 asparaginyl residues in absolute deamidation rates. a representative collection of 126 human proteins have been It is, therefore, now possible to compute the expected deami- performed. These rates suggest that deamidation is a biologically dation rate of any protein for which the primary and 3D relevant phenomenon in a remarkably large percentage of human structures are known, except for very long-lived proteins. These proteins. proteins require measurement of the 400 Gln pentapeptide rates. in vivo deamidation ͉ asparaginyl residues Materials and Methods Calculation Method. The Brookhaven Protein Data Bank (PDB) eamidation of asparaginyl (Asn) and glutaminyl (Gln) was searched to select 126 human proteins of general biochem- Dresidues to produce aspartyl (Asp) and glutamyl (Glu) ical interest and of known 3D structure without bias toward any residues causes structurally and biologically important alter- known data about their deamidation, except for 13 proteins (as ations in peptide and protein structures. -
Congenital Disorders of Glycosylation from a Neurological Perspective
brain sciences Review Congenital Disorders of Glycosylation from a Neurological Perspective Justyna Paprocka 1,* , Aleksandra Jezela-Stanek 2 , Anna Tylki-Szyma´nska 3 and Stephanie Grunewald 4 1 Department of Pediatric Neurology, Faculty of Medical Science in Katowice, Medical University of Silesia, 40-752 Katowice, Poland 2 Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, 01-138 Warsaw, Poland; [email protected] 3 Department of Pediatrics, Nutrition and Metabolic Diseases, The Children’s Memorial Health Institute, W 04-730 Warsaw, Poland; [email protected] 4 NIHR Biomedical Research Center (BRC), Metabolic Unit, Great Ormond Street Hospital and Institute of Child Health, University College London, London SE1 9RT, UK; [email protected] * Correspondence: [email protected]; Tel.: +48-606-415-888 Abstract: Most plasma proteins, cell membrane proteins and other proteins are glycoproteins with sugar chains attached to the polypeptide-glycans. Glycosylation is the main element of the post- translational transformation of most human proteins. Since glycosylation processes are necessary for many different biological processes, patients present a diverse spectrum of phenotypes and severity of symptoms. The most frequently observed neurological symptoms in congenital disorders of glycosylation (CDG) are: epilepsy, intellectual disability, myopathies, neuropathies and stroke-like episodes. Epilepsy is seen in many CDG subtypes and particularly present in the case of mutations -
Profilin-1 Is Required for Survival of Adult Hematopoietic Stem Cells
Extended methods Immunohistochemistry HepG-2, SMMC-7721, and 293T cells were obtained from Cell Resource Center of Shanghai Institute for Biological Science, Chinese Academy Science, Shanghai, China. HUVEC cells were kindly provided by Prof. Ping-Jin Gao at Institute of Health Sciences (Shanghai, China). All these cell lines were cultured in DMEM with 10% FBS. MDA- MB-231 cell line was kindly provided by Prof. Ming-Yao Liu (East China Normal University, Shanghai, China) and was cultured in Leibovitz L-15 medium with 10% FBS. All these cell lines were originally purchased from ATCC. MDA-MB-231, SMMC-7721 or HepG2 cells were grown on coverslips in 24-well plates and fixed in either 4% paraformaldehyde or pre-chilled methanol (-20°C) for 10 min. In some cases, WT or VPS33B-null Lin-Sca-1+c-Kit+Flk2-CD34- LT-HSCs were collected by flow cytometry and fixed for immunofluorescence staining. Cells were then blocked with 3% BSA in PBS for 60 min followed by incubation with primary antibodies overnight. The antibodies used were anti-HA (Sigma), anti-Flag (Sigma), anti-VPS33B (Sigma), anti- VPS16B (Abcam), anti-GDI2 (Proteintech), anti-LAMP1 (Proteintech), anti-FLOT1 (Abways), anti-CD63 (Proteintech), anti-ANGPTL2 (R&D system), anti-ANGPTL3 (R&D system), anti-TPO (Abways), anti-GLUT1 (Proteintech), anti-LDHA (Proteintech), anti-PKM2 (CST), anti-RAB11A (Abways), anti-RAB27A (Abways) and anti-V5 (Biodragon). Fluorescent-conjugated secondary antibodies (Alexa Fluor® 488 or Alexa Fluor® 555) against mouse, rabbit, or goat were obtained from the Thermo Scientific Inc. The details for all the antibodies are listed in Table S3. -
NICU Gene List Generator.Xlsx
Neonatal Crisis Sequencing Panel Gene List Genes: A2ML1 - B3GLCT A2ML1 ADAMTS9 ALG1 ARHGEF15 AAAS ADAMTSL2 ALG11 ARHGEF9 AARS1 ADAR ALG12 ARID1A AARS2 ADARB1 ALG13 ARID1B ABAT ADCY6 ALG14 ARID2 ABCA12 ADD3 ALG2 ARL13B ABCA3 ADGRG1 ALG3 ARL6 ABCA4 ADGRV1 ALG6 ARMC9 ABCB11 ADK ALG8 ARPC1B ABCB4 ADNP ALG9 ARSA ABCC6 ADPRS ALK ARSL ABCC8 ADSL ALMS1 ARX ABCC9 AEBP1 ALOX12B ASAH1 ABCD1 AFF3 ALOXE3 ASCC1 ABCD3 AFF4 ALPK3 ASH1L ABCD4 AFG3L2 ALPL ASL ABHD5 AGA ALS2 ASNS ACAD8 AGK ALX3 ASPA ACAD9 AGL ALX4 ASPM ACADM AGPS AMELX ASS1 ACADS AGRN AMER1 ASXL1 ACADSB AGT AMH ASXL3 ACADVL AGTPBP1 AMHR2 ATAD1 ACAN AGTR1 AMN ATL1 ACAT1 AGXT AMPD2 ATM ACE AHCY AMT ATP1A1 ACO2 AHDC1 ANK1 ATP1A2 ACOX1 AHI1 ANK2 ATP1A3 ACP5 AIFM1 ANKH ATP2A1 ACSF3 AIMP1 ANKLE2 ATP5F1A ACTA1 AIMP2 ANKRD11 ATP5F1D ACTA2 AIRE ANKRD26 ATP5F1E ACTB AKAP9 ANTXR2 ATP6V0A2 ACTC1 AKR1D1 AP1S2 ATP6V1B1 ACTG1 AKT2 AP2S1 ATP7A ACTG2 AKT3 AP3B1 ATP8A2 ACTL6B ALAS2 AP3B2 ATP8B1 ACTN1 ALB AP4B1 ATPAF2 ACTN2 ALDH18A1 AP4M1 ATR ACTN4 ALDH1A3 AP4S1 ATRX ACVR1 ALDH3A2 APC AUH ACVRL1 ALDH4A1 APTX AVPR2 ACY1 ALDH5A1 AR B3GALNT2 ADA ALDH6A1 ARFGEF2 B3GALT6 ADAMTS13 ALDH7A1 ARG1 B3GAT3 ADAMTS2 ALDOB ARHGAP31 B3GLCT Updated: 03/15/2021; v.3.6 1 Neonatal Crisis Sequencing Panel Gene List Genes: B4GALT1 - COL11A2 B4GALT1 C1QBP CD3G CHKB B4GALT7 C3 CD40LG CHMP1A B4GAT1 CA2 CD59 CHRNA1 B9D1 CA5A CD70 CHRNB1 B9D2 CACNA1A CD96 CHRND BAAT CACNA1C CDAN1 CHRNE BBIP1 CACNA1D CDC42 CHRNG BBS1 CACNA1E CDH1 CHST14 BBS10 CACNA1F CDH2 CHST3 BBS12 CACNA1G CDK10 CHUK BBS2 CACNA2D2 CDK13 CILK1 BBS4 CACNB2 CDK5RAP2 -
Thèse De Doctorat De L'université Paris-Saclay Préparée À L'ecole
1 NNT : 2017SACLX031 Thèse de doctorat de l’Université Paris-Saclay préparée à l’Ecole Polytechnique Ecole doctorale n◦573 Interfaces : approches interdisciplinaires / fondements, applications et innovation Spécialité de doctorat : Informatique par Mme. Alice Héliou Analyse des séquences génomiques : Identification des ARNs circulaires et calcul de l’information négative Thèse présentée et soutenue à l’Ecole Polytechnique, le 10 juillet 2017. Composition du Jury : M. Alain Denise Professeur (Président du jury) Université Paris-Sud Mme. Christine Gaspin Professeur (Rapporteur) INRA Toulouse M. Gabriele Fici Professeur associé (Rapporteur) Université de Palerme (Italie) M Thierry Lecroq Professeur (Examinateur) Université de Rouen Mme. Claire Toffano-Nioche Chargé de recherche (Examinatrice) Université Paris Sud M. Mikael Salson Maitre de conférences (Examinateur) Université Lille 1 Mme. Mireille Régnier Professeur (Directrice de thèse) Ecole Polytechnique M. Hubert Becker Maitre de conférences (Co-directeur de thèse) UPMC À mes grands parents, Pour m’avoir ouvert les yeux sur la chance que sont les études. À mes parents, Pour m’avoir toujours soutenue et donné confiance en moi, Merci. Remerciements Je tiens dans un premier temps à remercier mes directeurs de thèse, Mireille Régnier et Hubert Becker sans qui rien de tout cela n’aurait été possible. Christine Gaspin et Gabriele Fici ont accepté d’être rapporteurs de cette thèse, je les remercie sincèrement d’avoir pris le temps de lire attentivement le manuscrit. Je souhaite également remercier Alain Denise, Thierry Lecroq, Claire Toffano- Nioche et Mikael Salson d’avoir accepté de faire partie de mon jury pour la soute- nance. La première personne qu’il m’est important de remercier est Laurent Mouchard. -
Regulation of Hematopoietic Activity Involving New Interacting Partners (RRAGC & PSMC2, CKAP4 & MANF and CTR9 & CNTNAP2)
CellBio, 2020, 9, 123-141 https://www.scirp.org/journal/cellbio ISSN Online: 2325-7792 ISSN Print: 2325-7776 Regulation of Hematopoietic Activity Involving New Interacting Partners (RRAGC & PSMC2, CKAP4 & MANF and CTR9 & CNTNAP2) Swati Sharma1, Gurudutta U. Gangenahalli2*, Upma Singh3 1Department of Pharmacology, All India Institute of Medical Science (AIIMS), New Delhi, India 2Stem Cell & Gene Therapy Research Group, Institute of Nuclear Medicine & Allied Sciences, New Delhi, India 3Department of Applied Chemistry, School of Vocational Studies & Applied Sciences, Gautam Buddha University, Greater Noida, India How to cite this paper: Sharma, S., Gan- Abstract genahalli, G.U. and Singh, U. (2020) Regu- lation of Hematopoietic Activity Involving Hematopoietic stem cells (HSCs) are tissue-specific cells giving rise to all New Interacting Partners (RRAGC & PSMC2, mature blood cell types regulated by a diverse group of hematopoietic cyto- CKAP4 & MANF and CTR9 & CNTNAP2). kines and growth factors that influences the survival & proliferation of early CellBio, 9, 123-141. https://doi.org/10.4236/cellbio.2020.93007 progenitors and differentiation mechanisms by modulating the functional ac- tivities of HSCs. In this study, the functional yet distinctive role of three novel Received: August 13, 2020 combinations of gene pairs RRAGC & PSMC2; CKAP4 & MANF; and CTR9 Accepted: September 27, 2020 & CNTNAP2 have been newly identified. These novel combinations of genes Published: September 30, 2020 were confirmed and expressed in K562 human leukemic cell line in the pres- Copyright © 2020 by author(s) and ence of cytokine combination (IL-3, FLT-3 and SCF) using RT-PCR and Scientific Research Publishing Inc. siRNA-mediated gene knock down strategy. -
Cytoskeleton-Associated Protein 4: Functions Beyond the Endoplasmic Reticulum in Physiology and Disease
International Scholarly Research Network ISRN Cell Biology Volume 2012, Article ID 142313, 11 pages doi:10.5402/2012/142313 Review Article Cytoskeleton-Associated Protein 4: Functions Beyond the Endoplasmic Reticulum in Physiology and Disease Kevin M. Tuffy and Sonia Lobo Planey Department of Basic Sciences, The Commonwealth Medical College, Scranton, PA 18509, USA Correspondence should be addressed to Sonia Lobo Planey, [email protected] Received 21 August 2012; Accepted 19 September 2012 Academic Editors: A. Hergovich and C. M. Wells Copyright © 2012 K. M. Tuffy and S. L. Planey. 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. Cytoskeleton-associated protein 4 (CKAP4; also known as p63, CLIMP-63, or ERGIC-63) is a 63 kDa, reversibly palmitoylated and phosphorylated, type II transmembrane (TM) protein, originally identified as a resident of the endoplasmic reticulum (ER)/Golgi intermediate compartment (ERGIC). When localized to the ER, a major function of CKAP4 is to anchor rough ER to microtubules, organizing the overall structure of ER with respect to the microtubule network. There is also steadily accumulating evidence for diverse roles for CKAP4 localized outside the ER, including data demonstrating functionality of cell surface forms of CKAP4 in various cell types and of CKAP4 in the nucleus. We will review the recent studies that provide evidence for the existence of CKAP4 in multiple cellular compartments (i.e., ER, plasma membrane, and the nucleus) and discuss CKAP4’s role in the regulation of various physiological and pathological processes, such as interstitial cystitis, drug-induced cytotoxicity, pericullar proteolytic activity, and lung lipid homeostasis.