Transcriptional Regulation of Neurodevelopmental and Metabolic Pathways by NPAS3
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Disruption of the Neuronal PAS3 Gene in a Family Affected with Schizophrenia D Kamnasaran, W J Muir, M a Ferguson-Smith,Dwcox
325 ORIGINAL ARTICLE J Med Genet: first published as 10.1136/jmg.40.5.325 on 1 May 2003. Downloaded from Disruption of the neuronal PAS3 gene in a family affected with schizophrenia D Kamnasaran, W J Muir, M A Ferguson-Smith,DWCox ............................................................................................................................. J Med Genet 2003;40:325–332 Schizophrenia and its subtypes are part of a complex brain disorder with multiple postulated aetiolo- gies. There is evidence that this common disease is genetically heterogeneous, with many loci involved. See end of article for In this report, we describe a mother and daughter affected with schizophrenia, who are carriers of a authors’ affiliations t(9;14)(q34;q13) chromosome. By mapping on flow sorted aberrant chromosomes isolated from lym- ....................... phoblast cell lines, both subjects were found to have a translocation breakpoint junction between the Correspondence to: markers D14S730 and D14S70, a 683 kb interval on chromosome 14q13. This interval was found to Dr D W Cox, 8-39 Medical contain the neuronal PAS3 gene (NPAS3), by annotating the genomic sequence for ESTs and perform- Sciences Building, ing RACE and cDNA library screenings. The NPAS3 gene was characterised with respect to the University of Alberta, genomic structure, human expression profile, and protein cellular localisation to gain insight into gene Edmonton, Alberta T6G function. The translocation breakpoint junction lies within the third intron of NPAS3, resulting in the dis- 2H7, Canada; [email protected] ruption of the coding potential. The fact that the bHLH and PAS domains are disrupted from the remain- ing parts of the encoded protein suggests that the DNA binding and dimerisation functions of this Revised version received protein are destroyed. -
Transcription Factor P73 Regulates Th1 Differentiation
ARTICLE https://doi.org/10.1038/s41467-020-15172-5 OPEN Transcription factor p73 regulates Th1 differentiation Min Ren1, Majid Kazemian 1,4, Ming Zheng2, JianPing He3, Peng Li1, Jangsuk Oh1, Wei Liao1, Jessica Li1, ✉ Jonathan Rajaseelan1, Brian L. Kelsall 3, Gary Peltz 2 & Warren J. Leonard1 Inter-individual differences in T helper (Th) cell responses affect susceptibility to infectious, allergic and autoimmune diseases. To identify factors contributing to these response differ- 1234567890():,; ences, here we analyze in vitro differentiated Th1 cells from 16 inbred mouse strains. Haplotype-based computational genetic analysis indicates that the p53 family protein, p73, affects Th1 differentiation. In cells differentiated under Th1 conditions in vitro, p73 negatively regulates IFNγ production. p73 binds within, or upstream of, and modulates the expression of Th1 differentiation-related genes such as Ifng and Il12rb2. Furthermore, in mouse experimental autoimmune encephalitis, p73-deficient mice have increased IFNγ production and less dis- ease severity, whereas in an adoptive transfer model of inflammatory bowel disease, transfer of p73-deficient naïve CD4+ T cells increases Th1 responses and augments disease severity. Our results thus identify p73 as a negative regulator of the Th1 immune response, suggesting that p73 dysregulation may contribute to susceptibility to autoimmune disease. 1 Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung, and Blood Institute, Bethesda, MD 20892-1674, USA. 2 Department of Anesthesia, Stanford University School of Medicine, Stanford, CA 94305, USA. 3 Laboratory of Molecular Immunology, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA. 4Present address: Department of Biochemistry and Computer Science, Purdue University, West ✉ Lafayette, IN 37906, USA. -
Neurons That Regulate Mouse Torpor
Article Neurons that regulate mouse torpor https://doi.org/10.1038/s41586-020-2387-5 Sinisa Hrvatin1,6 ✉, Senmiao Sun1,2,6, Oren F. Wilcox1, Hanqi Yao1, Aurora J. Lavin-Peter1, Marcelo Cicconet3, Elena G. Assad1, Michaela E. Palmer1, Sage Aronson4, Received: 22 January 2020 Alexander S. Banks5, Eric C. Griffith1 & Michael E. Greenberg1 ✉ Accepted: 7 May 2020 Published online: xx xx xxxx The advent of endothermy, which is achieved through the continuous homeostatic Check for updates regulation of body temperature and metabolism1,2, is a defning feature of mammalian and avian evolution. However, when challenged by food deprivation or harsh environmental conditions, many mammalian species initiate adaptive energy-conserving survival strategies—including torpor and hibernation—during which their body temperature decreases far below its homeostatic set-point3–5. How homeothermic mammals initiate and regulate these hypothermic states remains largely unknown. Here we show that entry into mouse torpor, a fasting-induced state with a greatly decreased metabolic rate and a body temperature as low as 20 °C6, is regulated by neurons in the medial and lateral preoptic area of the hypothalamus. We show that restimulation of neurons that were activated during a previous bout of torpor is sufcient to initiate the key features of torpor, even in mice that are not calorically restricted. Among these neurons we identify a population of glutamatergic Adcyap1-positive cells, the activity of which accurately determines when mice naturally initiate and exit torpor, and the inhibition of which disrupts the natural process of torpor entry, maintenance and arousal. Taken together, our results reveal a specifc neuronal population in the mouse hypothalamus that serves as a core regulator of torpor. -
Mouse Letmd1 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Letmd1 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Letmd1 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Letmd1 gene (NCBI Reference Sequence: NM_134093 ; Ensembl: ENSMUSG00000037353 ) is located on Mouse chromosome 15. 9 exons are identified, with the ATG start codon in exon 1 and the TGA stop codon in exon 9 (Transcript: ENSMUST00000037001). Exon 5~7 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Letmd1 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-81M8 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 5 starts from about 43.89% of the coding region. The knockout of Exon 5~7 will result in frameshift of the gene. The size of intron 4 for 5'-loxP site insertion: 2391 bp, and the size of intron 7 for 3'-loxP site insertion: 1135 bp. The size of effective cKO region: ~1132 bp. The cKO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 5 6 7 8 9 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Letmd1 Homology arm cKO region loxP site Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
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. -
Regulation of Expression and Activity of the Bhlh-PAS Transcription
Regulation of Expression and Activity of the bHLH-PAS Transcription Factor NPAS4 David Christopher Bersten B.Sc. (Biomedical Science), Honours (Biochemistry) A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy Discipline of Biochemistry School of Molecular and Biomedical Science University of Adelaide, Australia June 2014 1 Contents Abstract ................................................................................................................................................... 3 PhD Thesis Declaration ........................................................................................................................... 5 Acknowledgements ................................................................................................................................. 6 Publications ............................................................................................................................................. 8 Conference oral presentations ........................................................................................................... 9 Additional publications ....................................................................................................................... 9 Chapter 1: .............................................................................................................................................. 10 Introduction ..................................................................................................................................... -
Steroid-Dependent Regulation of the Oviduct: a Cross-Species Transcriptomal Analysis
University of Kentucky UKnowledge Theses and Dissertations--Animal and Food Sciences Animal and Food Sciences 2015 Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis Katheryn L. Cerny University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Cerny, Katheryn L., "Steroid-dependent regulation of the oviduct: A cross-species transcriptomal analysis" (2015). Theses and Dissertations--Animal and Food Sciences. 49. https://uknowledge.uky.edu/animalsci_etds/49 This Doctoral Dissertation is brought to you for free and open access by the Animal and Food Sciences at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Animal and Food Sciences by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. -
SOX11 Interactome Analysis: Implication in Transcriptional Control and Neurogenesis
SOX11 interactome analysis: Implication in transcriptional control and neurogenesis Dissertation der Mathematisch-Naturwissenschaftlichen Fakultät der Eberhard Karls Universität Tübingen zur Erlangung des Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) vorgelegt von Birgit Heim, geb.Kick aus Augsburg Tübingen 2014 Gedruckt mit Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der Eberhard Karls Universität Tübingen. Tag der mündlichen Qualifikation: 12.02.2015 Dekan: Prof. Dr. Wolfgang Rosenstiel 1. Berichterstatter: Prof. Dr. Olaf Rieß 2. Berichterstatter: Prof. Dr. Marius Ueffing Für meine Familie TABLE OF CONTENTS Table of contents Summary ................................................................................................................ 5 Zusammenfassung ............................................................................................... 7 1. Introduction ...................................................................................... 9 1.1. Adult neurogenesis .................................................................................... 9 1.1.1. Adult neural stem cells and neuronal precursor cells ............................ 9 1.1.2. Neurogenic niches .............................................................................. 11 1.1.3. Regulation of adult neurogenesis ........................................................ 12 1.1.3.1. Extrinsic mechanisms .................................................................. 12 1.1.3.2. Intrinsic mechanisms .................................................................. -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
The Role of Transcription Factor in the Regulation of Autoimmune Diseases
Chiba Medical J. 97E:17-24, 2021 doi:10.20776/S03035476-97E-2-P17 〔 Chiba Medical Society Award Review 〕 The role of transcription factor in the regulation of autoimmune diseases Akira Suto1,2) 1) Department of Allergy and Clinical Immunology, Graduate School of Medicine, Chiba 260-8670. 2) Institute for Global Prominent Research, Chiba University, Chiba 260-8670. (Received November 14, 2020, Accepted December 9, 2020, Published April 10, 2021.) Abstract IL-21 is produced by Th17 cells and follicular helper T cells. It is an autocrine growth factor and plays critical roles in autoimmune diseases. In autoimmune mouse models, excessive production of IL-21 is associated with the development of lupus-like pathology in Sanroque mice, diabetes in NOD mice, autoimmune lung inflammation in Foxp3-mutant scurfy mice, arthritis in collagen-induced arthritis, and muscle inflammation in experimental autoimmune myositis. IL-21 production is induced by the transcription factor c-Maf following Stat3 activation on stimulation with IL-6. Additionally, Stat3 signaling induces the transcription factor Sox5 that along with c-Maf directly activates the promoter of RORγt, a master regulator of Th17 cells. Moreover, T cell-specific Sox5-deficient mice exhibit decreased Th17 cell differentiation and resistance to experimental autoimmune encephalomyelitis and delayed- type hypersensitivity. Another Sox family gene, Sox12, is expressed in regulatory T cells( Treg) in dextran sulfate sodium-induced colitic mice. T cell receptor-NFAT signaling induces Sox12 expression that further promotes Foxp3 expression in CD4+ T cells. In vivo, Sox12 is involved in the development of peripherally induced Treg cells under inflammatory conditions in an adoptive transfer colitis model. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
SUPPLEMENTARY NOTE Co-Activation of GR and NFKB
SUPPLEMENTARY NOTE Co-activation of GR and NFKB alters the repertoire of their binding sites and target genes. Nagesha A.S. Rao1*, Melysia T. McCalman1,*, Panagiotis Moulos2,4, Kees-Jan Francoijs1, 2 2 3 3,5 Aristotelis Chatziioannou , Fragiskos N. Kolisis , Michael N. Alexis , Dimitra J. Mitsiou and 1,5 Hendrik G. Stunnenberg 1Department of Molecular Biology, Radboud University Nijmegen, the Netherlands 2Metabolic Engineering and Bioinformatics Group, Institute of Biological Research and Biotechnology, National Hellenic Research Foundation, Athens, Greece 3Molecular Endocrinology Programme, Institute of Biological Research and Biotechnology, National Hellenic Research Foundation, Greece 4These authors contributed equally to this work 5 Corresponding authors E-MAIL: [email protected] ; TEL: +31-24-3610524; FAX: +31-24-3610520 E-MAIL: [email protected] ; TEL: +30-210-7273741; FAX: +30-210-7273677 Running title: Global GR and NFKB crosstalk Keywords: GR, p65, genome-wide, binding sites, crosstalk SUPPLEMENTARY FIGURES/FIGURE LEGENDS AND SUPPLEMENTARY TABLES 1 Rao118042_Supplementary Fig. 1 A Primary transcript Mature mRNA TNF/DMSO TNF/DMSO 8 12 r=0.74, p< 0.001 r=0.61, p< 0.001 ) 2 ) 10 2 6 8 4 6 4 2 2 0 Fold change (mRNA) (log Fold change (primRNA) (log 0 −2 −2 −2 0 2 4 −2 0 2 4 Fold change (RNAPII) (log2) Fold change (RNAPII) (log2) B chr5: chrX: 56 _ 104 _ DMSO DMSO 1 _ 1 _ 56 _ 104 _ TA TA 1 _ 1 _ 56 _ 104 _ TNF TNF Cluster 1 1 _ Cluster 2 1 _ 56 _ 104 _ TA+TNF TA+TNF 1 _ 1 _ CCNB1 TSC22D3 chr20: chr17: 25 _ 33 _ DMSO DMSO 1 _ 1 _ 25 _ 33 _ TA TA 1 _ 1 _ 25 _ 33 _ TNF TNF Cluster 3 1 _ Cluster 4 1 _ 25 _ 33 _ TA+TNF TA+TNF 1 _ 1 _ GPCPD1 CCL2 chr6: chr22: 77 _ 35 _ DMSO DMSO 1 _ 77 _ 1 _ 35 _ TA TA 1 _ 1 _ 77 _ 35 _ TNF Cluster 5 Cluster 6 TNF 1 _ 1 _ 77 _ 35 _ TA+TNF TA+TNF 1 _ 1 _ TNFAIP3 DGCR6 2 Supplementary Figure 1.