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Gene Expression Polarization
Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression This information is current as of September 27, 2021. Fernando O. Martinez, Siamon Gordon, Massimo Locati and Alberto Mantovani J Immunol 2006; 177:7303-7311; ; doi: 10.4049/jimmunol.177.10.7303 http://www.jimmunol.org/content/177/10/7303 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2006/11/03/177.10.7303.DC1 Material http://www.jimmunol.org/ References This article cites 61 articles, 22 of which you can access for free at: http://www.jimmunol.org/content/177/10/7303.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 27, 2021 • No Triage! Every submission reviewed by practicing scientists • 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 © 2006 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression1 Fernando O. -
Core Transcriptional Regulatory Circuitries in Cancer
Oncogene (2020) 39:6633–6646 https://doi.org/10.1038/s41388-020-01459-w REVIEW ARTICLE Core transcriptional regulatory circuitries in cancer 1 1,2,3 1 2 1,4,5 Ye Chen ● Liang Xu ● Ruby Yu-Tong Lin ● Markus Müschen ● H. Phillip Koeffler Received: 14 June 2020 / Revised: 30 August 2020 / Accepted: 4 September 2020 / Published online: 17 September 2020 © The Author(s) 2020. This article is published with open access Abstract Transcription factors (TFs) coordinate the on-and-off states of gene expression typically in a combinatorial fashion. Studies from embryonic stem cells and other cell types have revealed that a clique of self-regulated core TFs control cell identity and cell state. These core TFs form interconnected feed-forward transcriptional loops to establish and reinforce the cell-type- specific gene-expression program; the ensemble of core TFs and their regulatory loops constitutes core transcriptional regulatory circuitry (CRC). Here, we summarize recent progress in computational reconstitution and biologic exploration of CRCs across various human malignancies, and consolidate the strategy and methodology for CRC discovery. We also discuss the genetic basis and therapeutic vulnerability of CRC, and highlight new frontiers and future efforts for the study of CRC in cancer. Knowledge of CRC in cancer is fundamental to understanding cancer-specific transcriptional addiction, and should provide important insight to both pathobiology and therapeutics. 1234567890();,: 1234567890();,: Introduction genes. Till now, one critical goal in biology remains to understand the composition and hierarchy of transcriptional Transcriptional regulation is one of the fundamental mole- regulatory network in each specified cell type/lineage. -
A Small De Novo 16Q24.1 Duplication in a Woman with Severe Clinical Features
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by HAL-Université de Bretagne Occidentale A small de novo 16q24.1 duplication in a woman with severe clinical features. Sylvia Qu´em´ener-Redon,Caroline B´enech, S´everine Audebert-Bellanger, Ga¨elleFriocourt, Marc Planes, Philippe Parent, Claude F´erec To cite this version: Sylvia Qu´em´ener-Redon, Caroline B´enech, S´everine Audebert-Bellanger, Ga¨elle Friocourt, Marc Planes, et al.. A small de novo 16q24.1 duplication in a woman with severe clini- cal features.. European Journal of Medical Genetics, Elsevier, 2013, epub ahead of print. <10.1016/j.ejmg.2013.01.001>. <inserm-00788405> HAL Id: inserm-00788405 http://www.hal.inserm.fr/inserm-00788405 Submitted on 14 Feb 2013 HAL is a multi-disciplinary open access L'archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destin´eeau d´ep^otet `ala diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publi´esou non, lished or not. The documents may come from ´emanant des ´etablissements d'enseignement et de teaching and research institutions in France or recherche fran¸caisou ´etrangers,des laboratoires abroad, or from public or private research centers. publics ou priv´es. A small de novo 16q24.1 duplication in a woman with severe clinical features Sylvia Quéméner-Redon1,2, Caroline Bénech1,3, Séverine Audebert-Bellanger4, Gaëlle Friocourt1, Marc Planes4, Philippe Parent4 and Claude Férec1,2,3 1 Institut National de la Santé et de la Recherche Médicale (INSERM), UMR1078, Brest, France, 2 Laboratoire de Génétique Moléculaire et d’Histocompatibilité, Centre Hospitalier Universitaire (CHU), Hôpital Morvan, Brest, France, 3 Etablissement Français du Sang (EFS) – Bretagne, Brest, France, 4Service de Pédiatrie et de Génétique Médicale, Centre Hospitalier Universitaire de Brest, Brest, France. -
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. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
COX4I2 Antibody (Aa31-80) Rabbit Polyclonal Antibody Catalog # ALS15898
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 COX4I2 Antibody (aa31-80) Rabbit Polyclonal Antibody Catalog # ALS15898 Specification COX4I2 Antibody (aa31-80) - Product Information Application IHC, IF, WB Primary Accession Q96KJ9 Reactivity Human, Mouse, Rat Host Rabbit Clonality Polyclonal Calculated MW 20kDa KDa COX4I2 Antibody (aa31-80) - Additional Information Gene ID 84701 Anti-COX4I2 antibody IHC staining of human kidney. Other Names Cytochrome c oxidase subunit 4 isoform 2, mitochondrial, Cytochrome c oxidase subunit IV isoform 2, COX IV-2, COX4I2, COX4L2 Target/Specificity COX42 Antibody detects endogenous levels Immunofluorescence of COS7 cells, using of total COX42 protein. COX42 Antibody. Reconstitution & Storage Store at -20°C for up to one year. Precautions COX4I2 Antibody (aa31-80) is for research use only and not for use in diagnostic or therapeutic procedures. COX4I2 Antibody (aa31-80) - Protein Information Western blot of extracts from K562 cells, Name COX4I2 treated with insulin 0.01U/ml 15', using COX42 Antibody. Synonyms COX4L2 Function COX4I2 Antibody (aa31-80) - Background Component of the cytochrome c oxidase, the last enzyme in the mitochondrial This protein is one of the nuclear-coded electron transport chain which drives polypeptide chains of cytochrome c oxidase, oxidative phosphorylation. The respiratory the terminal oxidase in mitochondrial electron chain contains 3 multisubunit complexes transport. Page 1/2 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 succinate dehydrogenase (complex II, CII), COX4I2 Antibody (aa31-80) - References ubiquinol- cytochrome c oxidoreductase (cytochrome b-c1 complex, complex III, CIII) Huettemann M.,et al.Gene and cytochrome c oxidase (complex IV, 267:111-123(2001). -
Mutation in the COX4I1 Gene Is Associated with Short Stature, Poor Weight Gain and Increased Chromosomal Breaks, Simulating Fanconi Anemia
European Journal of Human Genetics (2017) 25, 1142–1146 & 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 1018-4813/17 www.nature.com/ejhg ARTICLE Mutation in the COX4I1 gene is associated with short stature, poor weight gain and increased chromosomal breaks, simulating Fanconi anemia Bassam Abu-Libdeh*,1,4, Liza Douiev2,3,4, Sarah Amro1, Maher Shahrour1, Asaf Ta-Shma2, Chaya Miller2,3, Orly Elpeleg2 and Ann Saada*,2,3 We describe a novel autosomal recessive form of mitochondrial disease in a child with short stature, poor weight gain, and mild dysmorphic features with highly suspected Fanconi anemia due to a mutation in COX4I1 gene. Whole Exome Sequencing was performed then followed by Sanger confirmation, identified a K101N mutation in COX4I1, segregating with the disease. This nuclear gene encodes the common isoform of cytochrome c oxidase (COX) subunit 4 (COX 4-1), an integral regulatory part of COX (respiratory chain complex IV) the terminal electron acceptor of the mitochondrial respiratory chain. The patient’s fibroblasts disclosed decreased COX activity, impaired ATP production, elevated ROS production, decreased expression of COX4I1 mRNA and undetectable (COX4) protein. COX activity and ATP production were restored by lentiviral transfection with the wild-type gene. Our results demonstrate the first human mutation in the COX4I1 gene linked to diseases and confirm its role in the pathogenesis. Thus COX4I1 mutations should be considered in any patient with features suggestive of this diagnosis. European Journal of Human Genetics (2017) 25, 1142–1146; doi:10.1038/ejhg.2017.112; published online 2 August 2017 INTRODUCTION normal vaginal delivery with birth weight of 2.8 kg after an uneventful Mitochondrial cytochrome c oxidase (COX, complex IV) is the terminal pregnancy. -
Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2. -
Supplemental Methods Proband and Control Lung Samples Lung Sections from Both the Proband and Age-Matched Controls Were Obtained
Supplementary material J Med Genet Supplemental Methods Proband and Control Lung Samples Lung sections from both the proband and age-matched controls were obtained in the form of fixed formalin paraffin embedded (FFPE) samples. Control lung samples were obtained from the BRINDL biorepository at the University of Rochester(1). RNA expression analyses RNA was obtained for mRNA expression studies using the RNeasy FFPE kit (Qiagen) according to manufacturer’s instructions. cDNA was then generated using iScrpit kit (biorad), and quantitative PCR was done as previously published (2). Primers for qPCR are listed in supplemental table 1. Chromatin Immunoprecipitation of FFPE for Fixed Formalin Paraffin Embedded samples Chromatin immunoprecipitation was done on FFPE sections using a protocol modified from Fanelli and colleagues, Nature Methods, 2011(3) Samples were deparaffinized by incubating 10uM sections in 1ml of Xylene for 10 minutes at room temperature. The tissue was then pelleted at 17,000 x gravity for 3 min at room temperature. This process was repeated 3 times. Samples were then rehydrated by incubating with 1 ml of 100% Ethanol for 10 minutes at RT. Cells were pelleted and resuspended in progressively increasing percentage of water as follows: 95% ethanol, 70% ethanol, 50% ethanol, 20% ethanol. The sample was then resuspended in 1x PBS and the tissue dissociated by sonicating with a Bioruptor (Diagnode, NJ USA) for 30 seconds on the medium setting. Cells then resuspended in Collagenase digestion buffer and treated with collagenase A (Roche 11 088 785 103) to a final concentration of 2mg/ml and digested at 37 C for 45 minutes. -
Loss of COX4I1 Leads to Combined Respiratory Chain Deficiency And
cells Article Loss of COX4I1 Leads to Combined Respiratory Chain Deficiency and Impaired Mitochondrial Protein Synthesis Kristýna Cunˇ átová 1,2, David Pajuelo Reguera 1 , Marek Vrbacký 1, Erika Fernández-Vizarra 3 , Shujing Ding 3, Ian M. Fearnley 3, Massimo Zeviani 3 , Josef Houštˇek 1 , Tomáš Mráˇcek 1,* and Petr Pecina 1,* 1 Laboratory of Bioenergetics, Institute of Physiology, Czech Academy of Sciences, 142 00 Prague, Czech Republic; [email protected] (K.C.);ˇ [email protected] (D.P.R.); [email protected] (M.V.); [email protected] (J.H.) 2 Department of Cell Biology, Faculty of Science, Charles University, 128 00 Prague, Czech Republic 3 MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, UK; [email protected] (E.F.-V.); [email protected] (S.D.); [email protected] (I.M.F.); [email protected] (M.Z.) * Correspondence: [email protected] (T.M.); [email protected] (P.P.) Abstract: The oxidative phosphorylation (OXPHOS) system localized in the inner mitochondrial membrane secures production of the majority of ATP in mammalian organisms. Individual OXPHOS complexes form supramolecular assemblies termed supercomplexes. The complexes are linked not only by their function but also by interdependency of individual complex biogenesis or maintenance. For instance, cytochrome c oxidase (cIV) or cytochrome bc1 complex (cIII) deficiencies affect the level of fully assembled NADH dehydrogenase (cI) in monomeric as well as supercomplex forms. It was hypothesized that cI is affected at the level of enzyme assembly as well as at the level of cI stability and maintenance. -
Daneshshahab.Pdf (3.352Mb)
BMP SIGNALING THROUGH BMPR1A IS REQUIRED FOR ESTABLISHMENT OF PANCREATIC LATERALITY APPROVED BY SUPERVISORY COMMITTEE Ondine Cleaver, Ph.D. Melanie H. Cobb, Ph.D. Raymond J. MacDonald, Ph.D. Eric N. Olson, Ph.D. THIS DISSERTATION IS DEDICATED TO MY FAMILY, PAST, PRESENT AND FUTURE BMP SIGNALING THROUGH BMPR1A IS REQUIRED FOR ESTABLISHMENT OF PANCREATIC LATERALITY by SHAHAB SHAUN MALEKPOUR DANESH DISSERTATION Presented to the Faculty of the Graduate School of Biomedical Sciences The University of Texas Southwestern Medical Center at Dallas In Partial Fulfillment of the Requirements For the Degree of DOCTOR OF PHILOSOPHY The University of Texas Southwestern Medical Center at Dallas Dallas, Texas May, 2009 Copyright by SHAHAB SHAUN MALEKPOUR DANESH, 2009 All Rights Reserved ACKNOWLEDGEMENTS I would like to thank my thesis advisor, Dr. Ondine Cleaver for her guidance and support. Ondine accepted me into her lab as a fifth year graduate student who had already been in three labs and had no background in developmental biology or mouse work. Her undying guidance, motivation and enthusiasm for science have allowed me to grow as a scientist and complete my thesis in two short years. I would like to thank my committee members Dr. Melanie Cobb, Dr. Eric Olson, and especially my thesis chair, Dr. Raymond MacDonald. They have provided invaluable suggestions and guidance that have facilitated my project that has allowed me to complete a substantial amount of work in a short time. I would like to thank the members of the Cleaver lab for providing a collaborative environment for science. Aly Villasenor was a great resource for exchange of valuable scientific ideas. -
Hypoxia Inducible Factors Modulate Mitochondrial Oxygen Consumption and Transcriptional Regulation of Nuclear-Encoded Electron T
Article pubs.acs.org/biochemistry Hypoxia Inducible Factors Modulate Mitochondrial Oxygen Consumption and Transcriptional Regulation of Nuclear-Encoded Electron Transport Chain Genes † § † ‡ ∥ † † ‡ † Hye Jin Hwang, , Scott G. Lynn, , , Ajith Vengellur, Yogesh Saini, , Elizabeth A. Grier, † § † § ‡ Shelagh M. Ferguson-Miller, , and John J. LaPres*, , , † ‡ § Department of Biochemistry and Molecular Biology, Center for Integrative Toxicology, and Center for Mitochondrial Science and Medicine, Michigan State University, East Lansing, Michigan 48824-1319, United States *S Supporting Information ABSTRACT: Hypoxia inducible factor-1 (HIF1) is a stress-responsive nuclear transcription factor that is activated with a decrease in oxygen availability. HIF1 regulates the expression of genes involved in a cell’s adaptation to hypoxic stress, including those with mitochondrial specific function. To gain a more comprehensive understanding of the role of HIF1 in mitochondrial homeostasis, we studied the link between hypoxia, HIF1 transactivation, and electron transport chain (ETC) function. We established immortalized mouse embryonic fibroblasts (MEFs) for HIF1α wild-type (WT) and null cells and tested whether HIF1α regulates mitochondrial respiration by modulating gene expressions of nuclear-encoded ETC components. High- throughput quantitative real-time polymerase chain reaction was performed to screen nuclear- encoded mitochondrial genes related to the ETC to identify those whose regulation was HIF1α- dependent. Our data suggest that HIF1α regulates transcription of cytochrome c oxidase (CcO) heart/muscle isoform 7a1 (Cox7a1) under hypoxia, where it is induced 1.5−2.5-fold, whereas Cox4i2 hypoxic induction was HIF1α-independent. We propose that adaptation to hypoxic stress of CcO as the main cellular oxygen consumer is mediated by induction of hypoxia-sensitive tissue-specific isoforms.