Impaired Mitochondrial Biogenesis in Adipose Tissue in Acquired Obesity
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L-Leucine Increases Translation of RPS14 and LARP1 in Erythroblasts
LETTERS TO THE EDITOR Table 1. Top 20 differentially translated known 5’TOP mRNAs in L-leucine increases translation of RPS14 and LARP1 L-leucine treated erythroblasts from del(5q) myelodysplastic syn- in erythroblasts from del(5q) myelodysplastic drome patients. syndrome patients Genes LogFC of TE in patients z score patients Deletion of the long arm of chromosome 5 [del(5q)] is RPS15 3.55 2.46 the most common cytogenetic abnormality found in the RPS27A 3.48 2.40 1 myelodysplastic syndromes (MDS). Patients with the 5q- RPS25 3.47 2.39 syndrome have macrocytic anemia and the del(5q) as the RPS20 3.43 2.35 sole karyotypic abnormality.1 Haploinsufficiency of the ribosomal protein gene RPS14, mapping to the common- RPL12 3.35 2.29 ly deleted region (CDR) on chromosome 5q,2 underlies PABPC4 3.01 2.01 3 the erythroid defect found in the 5q- syndrome, and is RPS24 2.97 1.98 associated with p53 activation,4-6 a block in the process- ing of pre-ribosomal RNA,3 and deregulation of riboso- RPS3 2.95 1.96 mal- and translation-related genes.7 Defective mRNA EEF2 2.83 1.86 translation represents a potential therapeutic target in the RPS18 2.76 1.80 5q- syndrome and other ribosomopathies, such as RPS26 2.75 1.79 Diamond-Blackfan anemia (DBA).8 Evidence suggests that the translation enhancer L- RPS5 2.69 1.74 leucine may have some efficacy in the treatment of the RPS21 2.64 1.70 8 5q- syndrome and DBA. A DBA patient treated with L- RPS9 2.54 1.62 leucine showed a marked improvement in anemia and 8 EIF3E 2.53 1.61 achieved transfusion independence. -
Acteoside from Ligustrum Robustum (Roxb.) Blume Ameliorates Lipid Metabolism and Synthesis in a Hepg2 Cell Model of Lipid Accumulation
ORIGINAL RESEARCH published: 24 May 2019 doi: 10.3389/fphar.2019.00602 Acteoside From Ligustrum robustum (Roxb.) Blume Ameliorates Lipid Metabolism and Synthesis in a HepG2 Cell Model of Lipid Accumulation Le Sun 1,2†, Fan Yu 1,2†, Fan Yi 3, Lijia Xu 1,2*, Baoping Jiang 1,2*, Liang Le 1,2 and Peigen Xiao 1,2 1 Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China, 2 Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education, Beijing, China, 3 Key Laboratory of Cosmetics, China National Light Industry, Beijing Technology and Business Edited by: University, Beijing, China Min Ye, Peking University, China We aimed to ascertain the mechanism underlying the effects of acteoside (ACT) from Reviewer: Wei Song, Ligustrum robustum (Roxb.) Blume (Oleaceae) on lipid metabolism and synthesis. ACT, Peking Union Medical College a water-soluble phenylpropanoid glycoside, is the most abundant and major active Hospital (CAMS), component of L. robustum; the leaves of L. robustum, known as kudingcha (bitter tea), China Shuai Ji, have long been used in China as an herbal tea for weight loss. Recently, based on previous Xuzhou Medical University, studies, our team reached a preliminary conclusion that phenylpropanoid glycosides from China L. robustum most likely contribute substantially to reducing lipid levels, but the mechanism *Correspondence: Lijia Xu remains unclear. Here, we conducted an in silico screen of currently known phenylethanoid [email protected] glycosides from L. robustum and attempted to explore the hypolipidemic mechanism of Baoping Jiang ACT, the representative component of phenylethanoid glycosides in L. -
Establishing the Pathogenicity of Novel Mitochondrial DNA Sequence Variations: a Cell and Molecular Biology Approach
Mafalda Rita Avó Bacalhau Establishing the Pathogenicity of Novel Mitochondrial DNA Sequence Variations: a Cell and Molecular Biology Approach Tese de doutoramento do Programa de Doutoramento em Ciências da Saúde, ramo de Ciências Biomédicas, orientada pela Professora Doutora Maria Manuela Monteiro Grazina e co-orientada pelo Professor Doutor Henrique Manuel Paixão dos Santos Girão e pela Professora Doutora Lee-Jun C. Wong e apresentada à Faculdade de Medicina da Universidade de Coimbra Julho 2017 Faculty of Medicine Establishing the pathogenicity of novel mitochondrial DNA sequence variations: a cell and molecular biology approach Mafalda Rita Avó Bacalhau Tese de doutoramento do programa em Ciências da Saúde, ramo de Ciências Biomédicas, realizada sob a orientação científica da Professora Doutora Maria Manuela Monteiro Grazina; e co-orientação do Professor Doutor Henrique Manuel Paixão dos Santos Girão e da Professora Doutora Lee-Jun C. Wong, apresentada à Faculdade de Medicina da Universidade de Coimbra. Julho, 2017 Copyright© Mafalda Bacalhau e Manuela Grazina, 2017 Esta cópia da tese é fornecida na condição de que quem a consulta reconhece que os direitos de autor são pertença do autor da tese e do orientador científico e que nenhuma citação ou informação obtida a partir dela pode ser publicada sem a referência apropriada e autorização. This copy of the thesis has been supplied on the condition that anyone who consults it recognizes that its copyright belongs to its author and scientific supervisor and that no quotation from the -
Evolution of Translation EF-Tu: Trna
University of Illinois at Urbana-Champaign Luthey-Schulten Group NIH Resource for Macromolecular Modeling and Bioinformatics Computational Biophysics Workshop Evolution of Translation EF-Tu: tRNA VMD Developer: John Stone MultiSeq Developers Tutorial Authors Elijah Roberts Ke Chen John Eargle John Eargle Dan Wright Zhaleh Ghaemi Jonathan Lai Zan Luthey-Schulten August 2014 A current version of this tutorial is available at http://www.scs.illinois.edu/~schulten/tutorials/ef-tu CONTENTS 2 Contents 1 Introduction 3 1.1 The Elongation Factor Tu . 3 1.2 Getting Started . 4 1.2.1 Requirements . 4 1.2.2 Copying the tutorial files . 4 1.2.3 Working directory . 4 1.2.4 Preferences . 4 1.3 Configuring BLAST for MultiSeq . 5 2 Comparative Analysis of EF-Tu 5 2.1 Finding archaeal EF1A sequences . 6 2.2 Aligning archaeal sequences and removing redundancy . 8 2.3 Finding bacteria EF-Tu sequences . 11 2.4 Performing ClustalW Multiple Sequence and Profile-Profile Align- ments . 12 2.5 Creating Multiple Sequence with MAFFT . 16 2.6 Conservation of EF-Tu among the Bacteria . 16 2.7 Finding conserved residues across the bacterial and archaeal do- mains . 20 2.8 EF-Tu Interface with the Ribosome . 21 3 Computing a Maximum Likelihood Phylogenetic Tree with RAxML 23 3.1 Load the Phylogenetic Tree into MultiSeq . 25 3.2 Reroot and Manipulate the Phylogenetic Tree . 25 4 MultiSeq TCL Scripting: Genomic Context 27 5 Appendix A 30 5.1 Building a BLAST Database . 30 6 Appendix B 31 6.1 Saving QR subset of alignments in PHYLIP and FASTA format 31 6.2 Calculating Maximum Likelihood Trees with RAxML . -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.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 © 2016 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 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
ACAT) in Cholesterol Metabolism: from Its Discovery to Clinical Trials and the Genomics Era
H OH metabolites OH Review Acyl-Coenzyme A: Cholesterol Acyltransferase (ACAT) in Cholesterol Metabolism: From Its Discovery to Clinical Trials and the Genomics Era Qimin Hai and Jonathan D. Smith * Department of Cardiovascular & Metabolic Sciences, Cleveland Clinic, Cleveland, OH 44195, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-216-444-2248 Abstract: The purification and cloning of the acyl-coenzyme A: cholesterol acyltransferase (ACAT) enzymes and the sterol O-acyltransferase (SOAT) genes has opened new areas of interest in cholesterol metabolism given their profound effects on foam cell biology and intestinal lipid absorption. The generation of mouse models deficient in Soat1 or Soat2 confirmed the importance of their gene products on cholesterol esterification and lipoprotein physiology. Although these studies supported clinical trials which used non-selective ACAT inhibitors, these trials did not report benefits, and one showed an increased risk. Early genetic studies have implicated common variants in both genes with human traits, including lipoprotein levels, coronary artery disease, and Alzheimer’s disease; however, modern genome-wide association studies have not replicated these associations. In contrast, the common SOAT1 variants are most reproducibly associated with testosterone levels. Keywords: cholesterol esterification; atherosclerosis; ACAT; SOAT; inhibitors; clinical trial Citation: Hai, Q.; Smith, J.D. Acyl-Coenzyme A: Cholesterol Acyltransferase (ACAT) in Cholesterol Metabolism: From Its 1. Introduction Discovery to Clinical Trials and the The acyl-coenzyme A:cholesterol acyltransferase (ACAT; EC 2.3.1.26) enzyme family Genomics Era. Metabolites 2021, 11, consists of membrane-spanning proteins, which are primarily located in the endoplasmic 543. https://doi.org/10.3390/ reticulum [1]. -
Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony
Supplementary Data Th2 and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in UBIOPRED Chih-Hsi Scott Kuo1.2, Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony Rowe3, Iaonnis Pandis2, Ana Sousa4, Julie Corfield5, Ratko Djukanovic6, Rene 7 7 8 2 1† Lutter , Peter J. Sterk , Charles Auffray , Yike Guo , Ian M. Adcock & Kian Fan 1†* # Chung on behalf of the U-BIOPRED consortium project team 1Airways Disease, National Heart & Lung Institute, Imperial College London, & Biomedical Research Unit, Biomedical Research Unit, Royal Brompton & Harefield NHS Trust, London, United Kingdom; 2Department of Computing & Data Science Institute, Imperial College London, United Kingdom; 3Janssen Research and Development, High Wycombe, Buckinghamshire, United Kingdom; 4Respiratory Therapeutic Unit, GSK, Stockley Park, United Kingdom; 5AstraZeneca R&D Molndal, Sweden and Areteva R&D, Nottingham, United Kingdom; 6Faculty of Medicine, Southampton University, Southampton, United Kingdom; 7Faculty of Medicine, University of Amsterdam, Amsterdam, Netherlands; 8European Institute for Systems Biology and Medicine, CNRS-ENS-UCBL, Université de Lyon, France. †Contributed equally #Consortium project team members are listed under Supplementary 1 Materials *To whom correspondence should be addressed: [email protected] 2 List of the U-BIOPRED Consortium project team members Uruj Hoda & Christos Rossios, Airways Disease, National Heart & Lung Institute, Imperial College London, UK & Biomedical Research Unit, Biomedical Research Unit, Royal -
Analysis of Translating Mitoribosome Reveals Functional Characteristics of Translation in Mitochondria of Fungi
ARTICLE https://doi.org/10.1038/s41467-020-18830-w OPEN Analysis of translating mitoribosome reveals functional characteristics of translation in mitochondria of fungi Yuzuru Itoh 1,2,4, Andreas Naschberger1,4, Narges Mortezaei1,4, Johannes M. Herrmann 3 & ✉ Alexey Amunts 1,2 1234567890():,; Mitoribosomes are specialized protein synthesis machineries in mitochondria. However, how mRNA binds to its dedicated channel, and tRNA moves as the mitoribosomal subunit rotate with respect to each other is not understood. We report models of the translating fungal mitoribosome with mRNA, tRNA and nascent polypeptide, as well as an assembly inter- mediate. Nicotinamide adenine dinucleotide (NAD) is found in the central protuberance of the large subunit, and the ATPase inhibitory factor 1 (IF1) in the small subunit. The models of the active mitoribosome explain how mRNA binds through a dedicated protein platform on the small subunit, tRNA is translocated with the help of the protein mL108, bridging it with L1 stalk on the large subunit, and nascent polypeptide paths through a newly shaped exit tunnel involving a series of structural rearrangements. An assembly intermediate is modeled with the maturation factor Atp25, providing insight into the biogenesis of the mitoribosomal large subunit and translation regulation. 1 Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 17165 Solna, Sweden. 2 Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 17165 Solna, Sweden. 3 Cell Biology, University -
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. -
CD8 T Cell Memory Transition and Maintenance of Functional Foxo1
FoxO1 Controls Effector-to-Memory Transition and Maintenance of Functional CD8 T Cell Memory This information is current as Melba Marie Tejera, Eui Ho Kim, Jeremy A. Sullivan, Erin of October 1, 2021. H. Plisch and M. Suresh J Immunol 2013; 191:187-199; Prepublished online 3 June 2013; doi: 10.4049/jimmunol.1300331 http://www.jimmunol.org/content/191/1/187 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2013/06/03/jimmunol.130033 Material 1.DC1 http://www.jimmunol.org/ References This article cites 52 articles, 7 of which you can access for free at: http://www.jimmunol.org/content/191/1/187.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on October 1, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology FoxO1 Controls Effector-to-Memory Transition and Maintenance of Functional CD8 T Cell Memory Melba Marie Tejera, Eui Ho Kim, Jeremy A. -
Genes Investigated
BabyNEXTTM EXTENDED Investigated genes and associated diseases Gene Disease OMIM OMIM Condition RUSP gene Disease ABCC8 Familial hyperinsulinism 600509 256450 Metabolic disorder - ABCC8-related Inborn error of amino acid metabolism ABCD1 Adrenoleukodystrophy 300371 300100 Miscellaneous RUSP multisystem (C) * diseases ABCD4 Methylmalonic aciduria and 603214 614857 Metabolic disorder - homocystinuria, cblJ type Inborn error of amino acid metabolism ACAD8 Isobutyryl-CoA 604773 611283 Metabolic Disorder - RUSP dehydrogenase deficiency Inborn error of (S) ** organic acid metabolism ACAD9 acyl-CoA dehydrogenase-9 611103 611126 Metabolic Disorder - (ACAD9) deficiency Inborn error of fatty acid metabolism ACADM Acyl-CoA dehydrogenase, 607008 201450 Metabolic Disorder - RUSP medium chain, deficiency of Inborn error of fatty (C) acid metabolism ACADS Acyl-CoA dehydrogenase, 606885 201470 Metabolic Disorder - RUSP short-chain, deficiency of Inborn error of fatty (S) acid metabolism ACADSB 2-methylbutyrylglycinuria 600301 610006 Metabolic Disorder - RUSP Inborn error of (S) organic acid metabolism ACADVL very long-chain acyl-CoA 609575 201475 Metabolic Disorder - RUSP dehydrogenase deficiency Inborn error of fatty (C) acid metabolism ACAT1 Alpha-methylacetoacetic 607809 203750 Metabolic Disorder - RUSP aciduria Inborn error of (C) organic acid metabolism ACSF3 Combined malonic and 614245 614265 Metabolic Disorder - methylmalonic aciduria Inborn error of organic acid metabolism 1 ADA Severe combined 608958 102700 Primary RUSP immunodeficiency due -
1 AGING Supplementary Table 2
SUPPLEMENTARY TABLES Supplementary Table 1. Details of the eight domain chains of KIAA0101. Serial IDENTITY MAX IN COMP- INTERFACE ID POSITION RESOLUTION EXPERIMENT TYPE number START STOP SCORE IDENTITY LEX WITH CAVITY A 4D2G_D 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ B 4D2G_E 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ C 6EHT_D 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ D 6EHT_E 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ E 6GWS_D 41-72 41 72 100 100 3.2Å PCNA X-RAY DIFFRACTION √ F 6GWS_E 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ G 6GWS_F 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ H 6IIW_B 2-11 2 11 100 100 1.699Å UHRF1 X-RAY DIFFRACTION √ www.aging-us.com 1 AGING Supplementary Table 2. Significantly enriched gene ontology (GO) annotations (cellular components) of KIAA0101 in lung adenocarcinoma (LinkedOmics). Leading Description FDR Leading Edge Gene EdgeNum RAD51, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, CENPW, HJURP, NDC80, CDCA5, NCAPH, BUB1, ZWILCH, CENPK, KIF2C, AURKA, CENPN, TOP2A, CENPM, PLK1, ERCC6L, CDT1, CHEK1, SPAG5, CENPH, condensed 66 0 SPC24, NUP37, BLM, CENPE, BUB3, CDK2, FANCD2, CENPO, CENPF, BRCA1, DSN1, chromosome MKI67, NCAPG2, H2AFX, HMGB2, SUV39H1, CBX3, TUBG1, KNTC1, PPP1CC, SMC2, BANF1, NCAPD2, SKA2, NUP107, BRCA2, NUP85, ITGB3BP, SYCE2, TOPBP1, DMC1, SMC4, INCENP. RAD51, OIP5, CDK1, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, ESCO2, CENPW, HJURP, TTK, NDC80, CDCA5, BUB1, ZWILCH, CENPK, KIF2C, AURKA, DSCC1, CENPN, CDCA8, CENPM, PLK1, MCM6, ERCC6L, CDT1, HELLS, CHEK1, SPAG5, CENPH, PCNA, SPC24, CENPI, NUP37, FEN1, chromosomal 94 0 CENPL, BLM, KIF18A, CENPE, MCM4, BUB3, SUV39H2, MCM2, CDK2, PIF1, DNA2, region CENPO, CENPF, CHEK2, DSN1, H2AFX, MCM7, SUV39H1, MTBP, CBX3, RECQL4, KNTC1, PPP1CC, CENPP, CENPQ, PTGES3, NCAPD2, DYNLL1, SKA2, HAT1, NUP107, MCM5, MCM3, MSH2, BRCA2, NUP85, SSB, ITGB3BP, DMC1, INCENP, THOC3, XPO1, APEX1, XRCC5, KIF22, DCLRE1A, SEH1L, XRCC3, NSMCE2, RAD21.