Monoaminergic Regulation of Mecp2 Phosphorylation in Mouse Models of Psychiatric Disease
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Curcumin Alters Gene Expression-Associated DNA Damage, Cell Cycle, Cell Survival and Cell Migration and Invasion in NCI-H460 Human Lung Cancer Cells in Vitro
ONCOLOGY REPORTS 34: 1853-1874, 2015 Curcumin alters gene expression-associated DNA damage, cell cycle, cell survival and cell migration and invasion in NCI-H460 human lung cancer cells in vitro I-TSANG CHIANG1,2, WEI-SHU WANG3, HSIN-CHUNG LIU4, SU-TSO YANG5, NOU-YING TANG6 and JING-GUNG CHUNG4,7 1Department of Radiation Oncology, National Yang‑Ming University Hospital, Yilan 260; 2Department of Radiological Technology, Central Taiwan University of Science and Technology, Taichung 40601; 3Department of Internal Medicine, National Yang‑Ming University Hospital, Yilan 260; 4Department of Biological Science and Technology, China Medical University, Taichung 404; 5Department of Radiology, China Medical University Hospital, Taichung 404; 6Graduate Institute of Chinese Medicine, China Medical University, Taichung 404; 7Department of Biotechnology, Asia University, Taichung 404, Taiwan, R.O.C. Received March 31, 2015; Accepted June 26, 2015 DOI: 10.3892/or.2015.4159 Abstract. Lung cancer is the most common cause of cancer CARD6, ID1 and ID2 genes, associated with cell survival and mortality and new cases are on the increase worldwide. the BRMS1L, associated with cell migration and invasion. However, the treatment of lung cancer remains unsatisfactory. Additionally, 59 downregulated genes exhibited a >4-fold Curcumin has been shown to induce cell death in many human change, including the DDIT3 gene, associated with DNA cancer cells, including human lung cancer cells. However, the damage; while 97 genes had a >3- to 4-fold change including the effects of curcumin on genetic mechanisms associated with DDIT4 gene, associated with DNA damage; the CCPG1 gene, these actions remain unclear. Curcumin (2 µM) was added associated with cell cycle and 321 genes with a >2- to 3-fold to NCI-H460 human lung cancer cells and the cells were including the GADD45A and CGREF1 genes, associated with incubated for 24 h. -
Alpha1a Adrenergic Receptor Influences on Adult Neurogenesis, Cell Fate, Mood, Learning, Memory, Lifespan, and Cancer Incidence Katie Collette
University of North Dakota UND Scholarly Commons Theses and Dissertations Theses, Dissertations, and Senior Projects January 2015 Alpha1a Adrenergic Receptor Influences On Adult Neurogenesis, Cell Fate, Mood, Learning, Memory, Lifespan, And Cancer Incidence Katie Collette Follow this and additional works at: https://commons.und.edu/theses Recommended Citation Collette, Katie, "Alpha1a Adrenergic Receptor Influences On Adult Neurogenesis, Cell Fate, Mood, Learning, Memory, Lifespan, And Cancer Incidence" (2015). Theses and Dissertations. 1757. https://commons.und.edu/theses/1757 This Dissertation is brought to you for free and open access by the Theses, Dissertations, and Senior Projects at UND Scholarly Commons. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of UND Scholarly Commons. For more information, please contact [email protected]. ALPHA1A ADRENERGIC RECEPTOR INFLUENCES ON ADULT NEUROGENESIS, CELL FATE, MOOD, LEARNING, MEMORY, LIFESPAN, AND CANCER INCIDENCE by Katie M. Collette Bachelor of Science, University of North Dakota, 2010 A Dissertation Submitted to the Graduate Faculty of the University of North Dakota in partial fulfillment of the requirements for the degree of Doctor of Philosophy Grand Forks, North Dakota May 2015 Copyright 2015 Katie Collette ii This thesis, submitted by Katie M. Collette in partial fulfillment of the requirements for the Degree of Doctor of Philosophy from the University of North Dakota, has been read by the Faculty Advisory Committee under whom the work has been done and is hereby approved. __________________________________ Chairperson, Van Doze __________________________________ Holly Brown-Borg __________________________________ Diane Darland __________________________________ James Haselton __________________________________ Joyce Ohm This dissertation meets the standards for appearance, conforms to the style and format requirements of the Graduate School of the University of North Dakota, and is hereby approved. -
Using Tests and Models to Assess Antidepressant-Like Activity in Rodents Ewa Kedzierska1*, Izabela Wach2
DOI: 10.1515/cipms-2016-0013 Curr. Issues Pharm. Med. Sci., Vol. 29, No. 2, Pages 61-65 Current Issues in Pharmacy and Medical Sciences Formerly ANNALES UNIVERSITATIS MARIAE CURIE-SKLODOWSKA, SECTIO DDD, PHARMACIA journal homepage: http://www.curipms.umlub.pl/ Using tests and models to assess antidepressant-like activity in rodents Ewa Kedzierska1*, Izabela Wach2 1 Chair and Department of Pharmacology and Pharmacodynamics, Medical University of Lublin, Chodzki 4A, 20-093 Lublin, Poland 2 Student Research Group at the Chair and Department of Pharmacology and Pharmacodynamics, Medical University of Lublin, Chodzki 4A, 20-093 Lublin, Poland ARTICLE INFO ABSTRACT Received 08 February 2016 In today's world, depression is one of the more prevalent forms of mental illness. According Accepted 10 March 2016 to WHO, about 10%-30% of all women and 7%-15% of all men are afflicted by depression Keywords: at least once in their life-times. Today, depression is assessed to be affecting 350 million depression, people. Regarding this issue, an important challenge for current psychopharmacology animal models, is to develop new, more effective pharmacotherapy and to understand the mechanism atidepressants. of action of known antidepressants. Furthermore, there is the necessity to improve the effectiveness of anti-depression treatment by way of bringing about an understanding of the neurobiology of this illness. In achieving these objectives, animal models of depression can be useful. Yet, presently, all available animal models of depression rely on two principles: the actions of known antidepressants or the responses to stress. In this paper, we present an overview of the most widely used animal tests and models that are employed in assessing antidepressant-like activity in rodents. -
Cerebral Small Vessel Disease Genomics and Its Implications Across the Lifespan Muralidharan Sargurupremraj, Hideaki Suzuki, Xueqiu Jian, Chloé Sarnowski, Tavia E
Cerebral small vessel disease genomics and its implications across the lifespan Muralidharan Sargurupremraj, Hideaki Suzuki, Xueqiu Jian, Chloé Sarnowski, Tavia E. Evans, Joshua C Bis, Gudny Eiriksdottir, Saori Sakaue, Natalie Terzikhan, Mohamad Habes, et al. To cite this version: Muralidharan Sargurupremraj, Hideaki Suzuki, Xueqiu Jian, Chloé Sarnowski, Tavia E. Evans, et al.. Cerebral small vessel disease genomics and its implications across the lifespan. Nature Communica- tions, Nature Publishing Group, 2020, 11, 10.1038/s41467-020-19111-2. hal-03121357 HAL Id: hal-03121357 https://hal.archives-ouvertes.fr/hal-03121357 Submitted on 26 Jan 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License ARTICLE https://doi.org/10.1038/s41467-020-19111-2 OPEN Cerebral small vessel disease genomics and its implications across the lifespan Muralidharan Sargurupremraj et al.# White matter hyperintensities (WMH) are the most common brain-imaging feature of cer- ebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, fi 1234567890():,; accounting for modi cation/confounding by hypertension. -
Biomedical Robots. Application to Translational Medicine
Biomedical robots. Application to translational medicine. Enrique J. deAndrés-Galiana Supervisors: Prof. Juan Luis Fernández-Martínez & Prof. Oscar Luaces This dissertation is submitted under the PhD program of Mathematics and Statistics May 2016 RESUMEN DEL CONTENIDO DE TESIS DOCTORAL 1.- Título de la Tesis Español/Otro Idioma: Inglés: Diseño de robots biomédicos. Aplicaciones en Biomedical robots. Application to translational medicina traslacional. medicine. 2.- Autor Nombre: Enrique Juan de Andrés Galiana DNI/Pasaporte/NIE: Programa de Doctorado: Matemáticas y Estadística. Órgano responsable: Departamento de Matemáticas. RESUMEN (en español) Esta tesis trata sobre el análisis y diseño de robots biomédicos y su aplicación a la medicina traslacional. Se define un robot biomédico como el conjunto de técnicas provenientes de la matemática aplicada, estadística y ciencias de la computación capaces de analizar datos biomédicos de alta dimensionalidad, aprender dinámicamente de dichos datos, extraer nuevo BIS - conocimiento e hipótesis de trabajo, y finalmente realizar predicciones con su incertidumbre asociada, cara a la toma de decisiones biomédicas. Se diseñan y analizan diferentes algorit- 010 - mos de aprendizaje, de reducción de la dimensión y selección de atributos, así como técnicas de optimización global, técnicas de agrupamiento no supervisado, clasificación y análisis de VOA incertidumbre. Dichas metodologías se aplican a datos a pie de hospital y de expresión génica - en predicción de fenotipos para optimización del diagnóstico, pronóstico, tratamiento y análisis de toxicidades. MAT - Se muestra que es posible establecer de modo sencillo el poder discriminatorio de las variables FOR pronóstico, y que dichos problemas de clasificación se aproximan a un comportamiento linealmente separable cuando se reduce la dimensión al conjunto de variables principales que definen el alfabeto del problema biomédico y están por tanto relacionadas con su génesis. -
Assessment of Network Module Identification Across Complex Diseases
ANALYSIS https://doi.org/10.1038/s41592-019-0509-5 Assessment of network module identification across complex diseases Sarvenaz Choobdar1,2,20, Mehmet E. Ahsen3,117, Jake Crawford4,117, Mattia Tomasoni 1,2, Tao Fang5, David Lamparter1,2,6, Junyuan Lin7, Benjamin Hescott8, Xiaozhe Hu7, Johnathan Mercer9,10, Ted Natoli11, Rajiv Narayan11, The DREAM Module Identification Challenge Consortium12, Aravind Subramanian11, Jitao D. Zhang 5, Gustavo Stolovitzky 3,13, Zoltán Kutalik2,14, Kasper Lage 9,10,15, Donna K. Slonim 4,16, Julio Saez-Rodriguez 17,18, Lenore J. Cowen4,7, Sven Bergmann 1,2,19,21* and Daniel Marbach 1,2,5,21* Many bioinformatics methods have been proposed for reducing the complexity of large gene or protein networks into relevant subnetworks or modules. Yet, how such methods compare to each other in terms of their ability to identify disease-relevant modules in different types of network remains poorly understood. We launched the ‘Disease Module Identification DREAM Challenge’, an open competition to comprehensively assess module identification methods across diverse protein–protein interaction, signaling, gene co-expression, homology and cancer-gene networks. Predicted network modules were tested for association with complex traits and diseases using a unique collection of 180 genome-wide association studies. Our robust assessment of 75 module identification methods reveals top-performing algorithms, which recover complementary trait- associated modules. We find that most of these modules correspond to core disease-relevant pathways, which often com- prise therapeutic targets. This community challenge establishes biologically interpretable benchmarks, tools and guidelines for molecular network analysis to study human disease biology. omplex diseases involve many genes and molecules that inter- assessed on in silico generated benchmark graphs11. -
Genetic Regulation of Behavioral and Neuronal Responses to Fluoxetine
Neuropsychopharmacology (2008) 33, 1312–1322 & 2008 Nature Publishing Group All rights reserved 0893-133X/08 $30.00 www.neuropsychopharmacology.org Genetic Regulation of Behavioral and Neuronal Responses to Fluoxetine 1 1 1 1 ,1 Brooke H Miller , Laura E Schultz , Anisha Gulati , Michael D Cameron and Mathew T Pletcher* 1Department of Molecular Therapeutics, The Scripps Research InstituteFScripps Florida, Jupiter, FL, USA Despite widespread use of antidepressants, the factors underlying the behavioral response to antidepressants are unknown. It has been shown that antidepressant treatment promotes the proliferation and survival of neurons in the adult hippocampus via enhanced serotonergic signaling, but it is unclear whether hippocampal neurogenesis is responsible for the behavioral response to antidepressants. Furthermore, a large subpopulation of patients fails to respond to antidepressant treatment due to presumed underlying genetic factors. In the present study, we have used the phenotypic and genotypic variability of inbred mouse strains to show that there is a genetic component to both the behavioral and neuronal effects of chronic fluoxetine treatment, and that this antidepressant induces an increase in hippocampal cell proliferation only in the strains that also show a positive behavioral response to treatment. Furthermore, the behavioral and neuronal responses are associated with an upregulation of genes known to promote neuronal proliferation and survival. These results suggest that inherent genetic predisposition to increased serotonin-induced neurogenesis may be a determinant of antidepressant efficacy. Neuropsychopharmacology (2008) 33, 1312–1322; doi:10.1038/sj.npp.1301497; published online 4 July 2007 Keywords: inbred mouse strains; fluoxetine; tail suspension test; neurogenesis; BrdU; depression INTRODUCTION has, therefore, been hypothesized that increased mono- aminergic transmission is a precursor to molecular and Major depressive disorder (MDD) affects up to 5% of the neural changes that underlie the remission of depression. -
Multiclass Analysis of Gene Expression Data the Protein Process
Critical Dynamic Processes in the Pathogenesis of Cancer Multiclass Analysis of Gene Expression Data Robert Stengel March 27, 2006 ! Background ! Small, round, blue-cell tumor example ! Analysis of colon cancer, metastases, and normal tissue presented at the Institute for Advanced Study Putative Paradigm for The Protein Process Microarray Analysis: Expression Level Infers Cell Function & Carcinogenesis ! Up-regulation in tumor cells – Causal input (tumor enhancing gene) – Defensive response (tumor suppressor gene) – Bystander effect – Tissue effect – Artifact ! Down-regulation in tumor cells – Present, but mutated (and, therefore, not detected) – Eliminated or suppressed by tumor growth – Tissue effect – Artifact Models of Gene Microarray Classification Interaction Objectives ! Inhibition and amplification are multigene effects !Class comparison ! Effects of over/underexpression depend on regulatory pathway and sign of interaction – Identify expression profiles (feature sets) for predefined classes !Class prediction – Develop mathematical function/algorithm that predicts class membership for a novel expression profile !Class discovery – Identify new classes, sub-classes, or features related to classification objectives 200 150 Tumor Typical Pairs of Colon Cancer Normal 100 Characteristics of D14657 Microarray Expression Levels 5 0 0 Classification Features -50 (Alon, Notterman, Levine et al, 1999) -20 -10 0 1 0 2 0 3 0 4 0 M94363 ! Samples not well differentiated in individual transcript clusters (overlapping) 250 200 150 Tumor Normal -
Rodent Models of Depression
TECHNOLOGY UPDATE Rodent Models of Depression GUY B. MULDER, DVM, MS, DIPLOMATE, ACLAM1 AND KATHLEEN PRITCHETT, DVM, DIPLOMATE, ACLAM2 Purpose. Clinical depression is an important social and economic problem. Depression can be characterized by three primary core symp- toms: anhedonia (loss of pleasure or interest in most activities), depressed mood, and decreased energy levels or fatigue (1). How- ever, the symptoms of depression can take many forms and range in severity from mild to life-threatening. Other symptoms may include changes in sleep pattern, changes in food intake, pessimism, feelings of guilt, or thoughts of suicide. The wide array of symptoms associ- ated with clinical depression, many of which are emotional in nature, makes it difficult to develop and assess animal models of the condi- tion. More than 35 years ago, however, researchers developed a set of criteria to assist in the identification of animal models of depression (2). Their criteria for an animal model of depression were that the model should show symptomology reasonably analogous to the hu- man condition; that behavioral changes in the animal could be objectively monitored; that resultant behavioral changes could be reversed by therapies effective in humans; and that the model was reproducible. These criteria are still valid today, and in the interven- ing years, a number of animal models have met these criteria. Although the core symptoms of depression are associated with changes in higher emotional states such as mood and motivation, a number of rodent models exhibit behaviors associated with depres- sion. These behaviors are often responsive to the effects of antidepressant therapy. -
Mouse Carf Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Carf Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Carf conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Carf gene (NCBI Reference Sequence: NM_139150 ; Ensembl: ENSMUSG00000026017 ) is located on Mouse chromosome 1. 15 exons are identified, with the ATG start codon in exon 2 and the TAA stop codon in exon 15 (Transcript: ENSMUST00000187978). Exon 4 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Carf gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-85G22 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: Mice homozygous for a null allele have aberrant learning and memory. Exon 4 starts from about 14.71% of the coding region. The knockout of Exon 4 will result in frameshift of the gene. The size of intron 3 for 5'-loxP site insertion: 1021 bp, and the size of intron 4 for 3'-loxP site insertion: 15401 bp. The size of effective cKO region: ~561 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 gRNA region 5' gRNA region 3' 1 4 5 15 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Carf 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. -
(12) Patent Application Publication (10) Pub. No.: US 2009/0269772 A1 Califano Et Al
US 20090269772A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2009/0269772 A1 Califano et al. (43) Pub. Date: Oct. 29, 2009 (54) SYSTEMS AND METHODS FOR Publication Classification IDENTIFYING COMBINATIONS OF (51) Int. Cl. COMPOUNDS OF THERAPEUTIC INTEREST CI2O I/68 (2006.01) CI2O 1/02 (2006.01) (76) Inventors: Andrea Califano, New York, NY G06N 5/02 (2006.01) (US); Riccardo Dalla-Favera, New (52) U.S. Cl. ........... 435/6: 435/29: 706/54; 707/E17.014 York, NY (US); Owen A. (57) ABSTRACT O'Connor, New York, NY (US) Systems, methods, and apparatus for searching for a combi nation of compounds of therapeutic interest are provided. Correspondence Address: Cell-based assays are performed, each cell-based assay JONES DAY exposing a different sample of cells to a different compound 222 EAST 41ST ST in a plurality of compounds. From the cell-based assays, a NEW YORK, NY 10017 (US) Subset of the tested compounds is selected. For each respec tive compound in the Subset, a molecular abundance profile from cells exposed to the respective compound is measured. (21) Appl. No.: 12/432,579 Targets of transcription factors and post-translational modu lators of transcription factor activity are inferred from the (22) Filed: Apr. 29, 2009 molecular abundance profile data using information theoretic measures. This data is used to construct an interaction net Related U.S. Application Data work. Variances in edges in the interaction network are used to determine the drug activity profile of compounds in the (60) Provisional application No. 61/048.875, filed on Apr. -
Chronic Low-Level Domoic Acid Exposure Alters Gene Transcription
Aquatic Toxicology 155 (2014) 151–159 Contents lists available at ScienceDirect Aquatic Toxicology j ournal homepage: www.elsevier.com/locate/aquatox Chronic low-level domoic acid exposure alters gene transcription and impairs mitochondrial function in the CNS a b c b Emma M. Hiolski , Preston S. Kendrick , Elizabeth R. Frame , Mark S. Myers , b b b b Theo K. Bammler , Richard P. Beyer , Federico M. Farin , Hui-wen Wilkerson , a b c,∗ Donald R. Smith , David J. Marcinek , Kathi A. Lefebvre a University of California, Santa Cruz, CA 95064, United States b University of Washington, Seattle, WA 98112, United States c NOAA Northwest Fisheries Science Center, Seattle, WA 98112, United States a r a t i b s c l e i n f o t r a c t Article history: Domoic acid is an algal-derived seafood toxin that functions as a glutamate agonist and exerts excitotox- Received 1 April 2014 icity via overstimulation of glutamate receptors (AMPA, NMDA) in the central nervous system (CNS). At Received in revised form 9 June 2014 high (symptomatic) doses, domoic acid is well-known to cause seizures, brain lesions and memory loss; Accepted 13 June 2014 however, a significant knowledge gap exists regarding the health impacts of repeated low-level (asymp- Available online 20 June 2014 tomatic) exposure. Here, we investigated the impacts of low-level repetitive domoic acid exposure on gene transcription and mitochondrial function in the vertebrate CNS using a zebrafish model in order to: Keywords: (1) identify transcriptional biomarkers of exposure; and (2) examine potential pathophysiology that may Domoic acid occur in the absence of overt excitotoxic symptoms.