Gene Expression Analysis in Schizophrenia

Total Page:16

File Type:pdf, Size:1020Kb

Load more

Gene expression analysis in schizophrenia: Reproducible up-regulation of several members of the apolipoprotein L family located in a high-susceptibility locus for schizophrenia on chromosome 22 Michael L. Mimmack*†, Margaret Ryan†‡, Hajime Baba§, Juani Navarro-Ruiz¶, Shuji Iritaniʈ, Richard L. M. Faull**, Peter J. McKenna††, Peter B. Jones††, Heii Arai§, Michael Starkey‡, Piers C. Emson*, and Sabine Bahn*††‡‡ *Department of Neurobiology, Babraham Institute, Cambridge CB2 4AT, United Kingdom; ‡United Kingdom Human Genome Mapping Project Resource Centre, Hinxton, Cambridge CB10 1SB, United Kingdom; ††Department of Psychiatry, University of Cambridge, Addenbrooke’s Hospital, Cambridge CB2 2QQ, United Kingdom; **Department of Anatomy, Faculty of Medicine and Health Science, University of Auckland, Private Bag 92019, Auckland, New Zealand; ʈDepartment of Psychiatry, Tokyo Metropolitan Matsuzawa Hospital, 156-0057 Tokyo, Japan; §Department of Psychiatry, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, 113-8421 Tokyo, Japan; and ¶Department of Morphological Sciences and Psychobiology, School of Medicine, University of Murcia, 30120 Murcia, Spain Communicated by Michael J. Berridge, Babraham Institute, Cambridge, United Kingdom, February 5, 2002 (received for review October 8, 2001) We screened a custom-made candidate gene cDNA array comprising with lipids that are of vital importance to normal cell functioning. 300 genes. Genes chosen have either been implicated in schizophre- Lipids are used to generate energy, are building blocks for biomem- nia, make conceptual sense in the light of the current understanding branes, are essential for the synthesis of numerous lipophilic of the disease, or are located on high-susceptibility chromosome molecules (e.g., steroid hormones and vitamin E), and play an locations. The array screen using prefrontal cortex tissue from 10 important role in cell signaling and antioxidative mechanisms (6, 7). schizophrenia and 10 control brains revealed robust up-regulation of Most lipoproteins are expressed in many tissues and cell types, apolipoprotein L1 (apo L1) by 2.6-fold. The finding was cross-vali- including the brain and cerebrospinal fluid (6). Apo L belongs to dated in a blinded quantitative PCR study using prefrontal cortex the high density lipoprotein family that plays a central role in tissue from the Stanley Foundation brain collection, Bethesda, MD. cholesterol transport (8). The cholesterol content of membranes is This collection consists of 15 schizophrenia, 15 bipolar disorder, 15 important in cellular processes such as modulating gene transcrip- major depression, and 15 control individuals, all 60 brains being tion and signal transduction both in the adult brain and during well-matched on conventional parameters, with antipsychotic drug neurodevelopment (7). exposure in the schizophrenia and bipolar disorder groups. Signifi- cant up-regulation of apo L1 gene expression in schizophrenia was Methods confirmed. Using quantitative PCR, expression profiles of other mem- Tissue Collection. Fresh-frozen prefrontal cortex tissue was obtained bers of the apo L family (apo L2–L6) were investigated, showing that from the Stanley Foundation brain collection and neuropathology apo L2 and L4 were highly significantly up-regulated in schizophrenia. consortium, Bethesda, MD, as well as from a collection of schizo- Results were then confirmed in an independent set of 20 schizophre- phrenia and control brains from Japan (Department of Psychiatry, nia and 20 control brains from Japan and New Zealand. Apo L proteins Tokyo Metropolitan Matsuzawa Hospital) and from New Zealand belong to the group of high density lipoproteins, with all six apo L (New Zealand Neurological Foundation Human Brain Bank, Uni- genes located in close proximity to each other on chromosome 22q12, versity of Auckland, School of Medicine). The Stanley Foundation a confirmed high-susceptibility locus for schizophrenia and close to brain collection consists of well-matched prefrontal cortex tissue the region associated with velocardiofacial syndrome that includes symptoms of schizophrenia. derived from 15 schizophrenia, 15 bipolar disorder, 15 major depression, and 15 control individuals (9). The New Zealand͞Japan collection consists of corresponding prefrontal cortex tissue from chizophrenia is a major public health problem. Typically, psy- 20 schizophrenia and 20 matched controls. For all cases, tissue was Schosis begins in early adulthood and interferes with education, collected from patients who had previously been diagnosed accord- employment, and social functioning. A hereditary contribution has ing to DSM-IIIR (33) or DSM-IV (34). The Stanley Foundation been established beyond doubt, and neuroimaging and neuropatho- brain collection is well-matched for age, pH, sex, race, side of the logical studies show subtle brain abnormalities (1–3). The dorsal brain, and postmortem interval, the details of which have been prefrontal cortex has been particularly implicated in the patho- described by Torrey et al. (9). In brief, the mean age in the physiological dysfunction in schizophrenia (4, 5). schizophrenia group was 44.2 (range 25–62) years, 42.3 (range The sequencing of the human genome undoubtedly will open 25–61) years for bipolar disorder, 46.4 (range 30–65) for major new exciting avenues for research into complex disorders such as depression, and 48.1 (range 29–68) for normal controls. The sex schizophrenia. Furthermore, the availability of novel molecular ratio was nine males and six females in all groups, and the average profiling techniques such as microarrays and differential display– postmortem interval for the four groups ranged between 23.7 and PCR now allow a global approach to screening for abnormalities in gene expression. Such approaches have the benefit that no assumption has to be made as to whether pathology is caused Abbreviations: apo, apolipoprotein; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; primarily by genetic and͞or environmental factors, as any caus- TNF-␣, tumor necrosis factor ␣. ative effect will inevitably lead to changes in gene expression. †M.L.M. and M.R. contributed equally to this work. For this study, we designed a candidate gene cDNA array to ‡‡To whom reprint requests should be addressed. E-mail: [email protected]. investigate changes in gene expression in the prefrontal cortex in The publication costs of this article were defrayed in part by page charge payment. This schizophrenia. We found robust and reliable changes in expression article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C. of apolipoprotein (apo) L1, L2, and L4. Lipoproteins provide cells §1734 solely to indicate this fact. 4680–4685 ͉ PNAS ͉ April 2, 2002 ͉ vol. 99 ͉ no. 7 www.pnas.org͞cgi͞doi͞10.1073͞pnas.032069099 Downloaded by guest on October 1, 2021 33.7 h (see ref. 9 for more details). All 60 tissue samples from the oligo(dA80) for 2.5 h at 42°C in an attempt to prevent hybridization Stanley Foundation were analyzed blind to diagnostic status with of poly(T) sequences to poly(A) tails of immobilized cDNAs. the code being retained by the foundation until analysis was Hybridization was for 48 h at 42°C in 9.5 ml of hybridization buffer completed. The New Zealand͞Japan brain collection was matched (Ultrahyb, Ambion). Arrays were washed sequentially in 2ϫ SSC, for age, sex, and postmortem interval. Whereas brains from the 0.1% SDS at room temperature (2 ϫ 5 min), 2ϫ SSC, 0.1% (wt͞vol) Stanley Foundation collection were predominantly young to SDS at 42oC(2ϫ 5 min), and 0.1ϫ SSC, 0.1% (wt͞vol) SDS at 42oC middle-aged, the New Zealand͞Japan collection consists of mainly (2 ϫ 15 min) and exposed before scanning with the Typhoon 8600 elderly and chronically (mostly lifelong) hospitalized individuals. variable mode imager (Amersham Pharmacia). To normalize for For the schizophrenia group the mean age was 65.3 years (range variation in robotic spotting each membrane was stripped and 43–85 years) and for controls 62.7 years (range 42–84 years); the sex rehybridized with 5 ng of 33P-dATP-labeled pBluescript II SK(Ϫ) ratio was 15 males and five females for the schizophrenia group and vector. After image acquisition, hybridization signals were quanti- 17 males and three females for controls. Postmortem interval fied by using ArrayVision (Image Research, St. Catherines, Cana- averages were 8.1 h (range 2–18 h) for schizophrenia and 12.6 h da). Signal processing was subsequently performed by using Blue- (range 2–25 h) for controls. script vector data to correct for variation in the relative amount of DNA present at equivalent positions on different arrays. Variations RNA Extraction and cDNA Synthesis. Total RNA was extracted from in labeling, hybridization, washing, and duration of phosphor screen postmortem prefrontal cortices of schizophrenia, bipolar, de- exposure for different array hybridizations were normalized against pressed, and control brains by using the Tri-reagent RNA plant spike expression profiles (A. thaliana cytochrome c554). extraction protocol (Sigma) in conjunction with a mechanical Quantified data were expressed as absolute gene expression levels homogenizer (Thermohybaid, Middlesex, U.K.). Typical yields and were comparable within all RNA samples. were 1 ␮g of total RNA per 1 mg of tissue. RNA sample concentrations were determined by UV spectrophotometry (av- Real-Time Quantitative PCR. Real-time PCR was performed by Ͼ erage OD260/280 1.8). RNA integrity was confirmed by
Recommended publications
  • PARSANA-DISSERTATION-2020.Pdf

    PARSANA-DISSERTATION-2020.Pdf

    DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks.
  • Gene Expression Polarization

    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.
  • The Expression of the Human Apolipoprotein Genes and Their Regulation by Ppars

    The Expression of the Human Apolipoprotein Genes and Their Regulation by Ppars

    CORE Metadata, citation and similar papers at core.ac.uk Provided by UEF Electronic Publications The expression of the human apolipoprotein genes and their regulation by PPARs Juuso Uski M.Sc. Thesis Biochemistry Department of Biosciences University of Kuopio June 2008 Abstract The expression of the human apolipoprotein genes and their regulation by PPARs. UNIVERSITY OF KUOPIO, the Faculty of Natural and Environmental Sciences, Curriculum of Biochemistry USKI Juuso Oskari Thesis for Master of Science degree Supervisors Prof. Carsten Carlberg, Ph.D. Merja Heinäniemi, Ph.D. June 2008 Keywords: nuclear receptors; peroxisome proliferator-activated receptor; PPAR response element; apolipoprotein; lipid metabolism; high density lipoprotein; low density lipoprotein. Lipids are any fat-soluble, naturally-occurring molecules and one of their main biological functions is energy storage. Lipoproteins carry hydrophobic lipids in the water and salt-based blood environment for processing and energy supply in liver and other organs. In this study, the genomic area around the apolipoprotein genes was scanned in silico for PPAR response elements (PPREs) using the in vitro data-based computer program. Several new putative REs were found in surroundings of multiple lipoprotein genes. The responsiveness of those apolipoprotein genes to the PPAR ligands GW501516, rosiglitazone and GW7647 in the HepG2, HEK293 and THP-1 cell lines were tested with real-time PCR. The APOA1, APOA2, APOB, APOD, APOE, APOF, APOL1, APOL3, APOL5 and APOL6 genes were found to be regulated by PPARs in direct or secondary manners. Those results provide new insights in the understanding of lipid metabolism and so many lifestyle diseases like atherosclerosis, type 2 diabetes, heart disease and stroke.
  • CD56+ T-Cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients

    CD56+ T-Cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients

    CD56+ T-cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients Institute of Infection and Global Health Department of Clinical Infection, Microbiology and Immunology Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy by Mazen Mohammed Almehmadi December 2014 - 1 - Abstract Human T cells expressing CD56 are capable of tumour cell lysis following activation with interleukin-2 but their role in viral immunity has been less well studied. The work described in this thesis aimed to investigate CD56+ T-cells in relation to cytomegalovirus infection in healthy subjects and kidney transplant patients (KTPs). Proportions of CD56+ T cells were found to be highly significantly increased in healthy cytomegalovirus-seropositive (CMV+) compared to cytomegalovirus-seronegative (CMV-) subjects (8.38% ± 0.33 versus 3.29%± 0.33; P < 0.0001). In donor CMV-/recipient CMV- (D-/R-)- KTPs levels of CD56+ T cells were 1.9% ±0.35 versus 5.42% ±1.01 in D+/R- patients and 5.11% ±0.69 in R+ patients (P 0.0247 and < 0.0001 respectively). CD56+ T cells in both healthy CMV+ subjects and KTPs expressed markers of effector memory- RA T-cells (TEMRA) while in healthy CMV- subjects and D-/R- KTPs the phenotype was predominantly that of naïve T-cells. Other surface markers, CD8, CD4, CD58, CD57, CD94 and NKG2C were expressed by a significantly higher proportion of CD56+ T-cells in healthy CMV+ than CMV- subjects. Functional studies showed levels of pro-inflammatory cytokines IFN-γ and TNF-α, as well as granzyme B and CD107a were significantly higher in CD56+ T-cells from CMV+ than CMV- subjects following stimulation with CMV antigens.
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus

    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.
  • The Genetics of Bipolar Disorder

    The Genetics of Bipolar Disorder

    Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF.
  • Insights Into the Molecular Mechanisms of Apoptosis Induced

    Insights Into the Molecular Mechanisms of Apoptosis Induced

    I nsights into the molecular mechanisms of apoptosis induced by glucose deprivation Raffaella Iurlaro ADVERTIMENT . La consulta d’aquesta tesi queda condicionada a l’acceptació de les següents condicions d'ús: La difusió d’aquesta tesi per mitjà del servei TDX ( www.tdx.cat ) i a través del Dipòsit Digital de la UB ( diposit.ub.edu ) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d’investigació i docència. No s’autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposici ó des d’un lloc aliè al servei TDX ni al Dipòsit Digital de la UB . No s’autoritza la presentació del seu contingut en una finestra o marc aliè a TDX o al Dipòsit Digital de la UB (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora. ADVERTENCIA . La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del servicio TDR ( www.tdx.cat ) y a través del Repositorio Digital de la UB ( diposit.ub.edu ) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR o al Repositorio Digital de la UB .
  • Epigenetic Aging Is Accelerated in Alcohol Use Disorder and Regulated by Genetic Variation in APOL2

    Epigenetic Aging Is Accelerated in Alcohol Use Disorder and Regulated by Genetic Variation in APOL2

    www.nature.com/npp ARTICLE OPEN Epigenetic aging is accelerated in alcohol use disorder and regulated by genetic variation in APOL2 Audrey Luo1, Jeesun Jung1, Martha Longley1, Daniel B. Rosoff1, Katrin Charlet1,2, Christine Muench 1, Jisoo Lee1, Colin A. Hodgkinson3, David Goldman3, Steve Horvath4,5, Zachary A. Kaminsky6 and Falk W. Lohoff1 To investigate the potential role of alcohol use disorder (AUD) in aging processes, we employed Levine’s epigenetic clock (DNAm PhenoAge) to estimate DNA methylation age in 331 individuals with AUD and 201 healthy controls (HC). We evaluated the effects of heavy, chronic alcohol consumption on epigenetic age acceleration (EAA) using clinical biomarkers, including liver function test enzymes (LFTs) and clinical measures. To characterize potential underlying genetic variation contributing to EAA in AUD, we performed genome-wide association studies (GWAS) on EAA, including pathway analyses. We followed up on relevant top findings with in silico expression quantitative trait loci (eQTL) analyses for biological function using the BRAINEAC database. There was a 2.22-year age acceleration in AUD compared to controls after adjusting for gender and blood cell composition (p = 1.85 × 10−5). This association remained significant after adjusting for race, body mass index, and smoking status (1.38 years, p = 0.02). Secondary analyses showed more pronounced EAA in individuals with more severe AUD-associated phenotypes, including elevated gamma- glutamyl transferase (GGT) and alanine aminotransferase (ALT), and higher number of heavy drinking days (all ps < 0.05). The genome-wide meta-analysis of EAA in AUD revealed a significant single nucleotide polymorphism (SNP), rs916264 (p = 5.43 × 10−8), in apolipoprotein L2 (APOL2) at the genome-wide level.
  • Enhancer Rnas: Transcriptional Regulators and Workmates of Namirnas in Myogenesis

    Enhancer Rnas: Transcriptional Regulators and Workmates of Namirnas in Myogenesis

    Odame et al. Cell Mol Biol Lett (2021) 26:4 https://doi.org/10.1186/s11658-021-00248-x Cellular & Molecular Biology Letters REVIEW Open Access Enhancer RNAs: transcriptional regulators and workmates of NamiRNAs in myogenesis Emmanuel Odame , Yuan Chen, Shuailong Zheng, Dinghui Dai, Bismark Kyei, Siyuan Zhan, Jiaxue Cao, Jiazhong Guo, Tao Zhong, Linjie Wang, Li Li* and Hongping Zhang* *Correspondence: [email protected]; zhp@sicau. Abstract edu.cn miRNAs are well known to be gene repressors. A newly identifed class of miRNAs Farm Animal Genetic Resources Exploration termed nuclear activating miRNAs (NamiRNAs), transcribed from miRNA loci that and Innovation Key exhibit enhancer features, promote gene expression via binding to the promoter and Laboratory of Sichuan enhancer marker regions of the target genes. Meanwhile, activated enhancers pro- Province, College of Animal Science and Technology, duce endogenous non-coding RNAs (named enhancer RNAs, eRNAs) to activate gene Sichuan Agricultural expression. During chromatin looping, transcribed eRNAs interact with NamiRNAs University, Chengdu 611130, through enhancer-promoter interaction to perform similar functions. Here, we review China the functional diferences and similarities between eRNAs and NamiRNAs in myogen- esis and disease. We also propose models demonstrating their mutual mechanism and function. We conclude that eRNAs are active molecules, transcriptional regulators, and partners of NamiRNAs, rather than mere RNAs produced during enhancer activation. Keywords: Enhancer RNA, NamiRNAs, MicroRNA, Myogenesis, Transcriptional regulator Introduction Te identifcation of lin-4 miRNA in Caenorhabditis elegans in 1993 [1] triggered research to discover and understand small microRNAs’ (miRNAs) mechanisms. Recently, some miRNAs are reported to activate target genes during transcription via base pairing to the 3ʹ or 5ʹ untranslated regions (3ʹ or 5ʹ UTRs), the promoter [2], and the enhancer regions [3].
  • Epigenetic Mechanisms Are Involved in the Oncogenic Properties of ZNF518B in Colorectal Cancer

    Epigenetic Mechanisms Are Involved in the Oncogenic Properties of ZNF518B in Colorectal Cancer

    Epigenetic mechanisms are involved in the oncogenic properties of ZNF518B in colorectal cancer Francisco Gimeno-Valiente, Ángela L. Riffo-Campos, Luis Torres, Noelia Tarazona, Valentina Gambardella, Andrés Cervantes, Gerardo López-Rodas, Luis Franco and Josefa Castillo SUPPLEMENTARY METHODS 1. Selection of genomic sequences for ChIP analysis To select the sequences for ChIP analysis in the five putative target genes, namely, PADI3, ZDHHC2, RGS4, EFNA5 and KAT2B, the genomic region corresponding to the gene was downloaded from Ensembl. Then, zoom was applied to see in detail the promoter, enhancers and regulatory sequences. The details for HCT116 cells were then recovered and the target sequences for factor binding examined. Obviously, there are not data for ZNF518B, but special attention was paid to the target sequences of other zinc-finger containing factors. Finally, the regions that may putatively bind ZNF518B were selected and primers defining amplicons spanning such sequences were searched out. Supplementary Figure S3 gives the location of the amplicons used in each gene. 2. Obtaining the raw data and generating the BAM files for in silico analysis of the effects of EHMT2 and EZH2 silencing The data of siEZH2 (SRR6384524), siG9a (SRR6384526) and siNon-target (SRR6384521) in HCT116 cell line, were downloaded from SRA (Bioproject PRJNA422822, https://www.ncbi. nlm.nih.gov/bioproject/), using SRA-tolkit (https://ncbi.github.io/sra-tools/). All data correspond to RNAseq single end. doBasics = TRUE doAll = FALSE $ fastq-dump -I --split-files SRR6384524 Data quality was checked using the software fastqc (https://www.bioinformatics.babraham. ac.uk /projects/fastqc/). The first low quality removing nucleotides were removed using FASTX- Toolkit (http://hannonlab.cshl.edu/fastxtoolkit/).
  • Towards Personalized Medicine in Psychiatry: Focus on Suicide

    Towards Personalized Medicine in Psychiatry: Focus on Suicide

    TOWARDS PERSONALIZED MEDICINE IN PSYCHIATRY: FOCUS ON SUICIDE Daniel F. Levey Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Doctor of Philosophy in the Program of Medical Neuroscience, Indiana University April 2017 ii Accepted by the Graduate Faculty, Indiana University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Andrew J. Saykin, Psy. D. - Chair ___________________________ Alan F. Breier, M.D. Doctoral Committee Gerry S. Oxford, Ph.D. December 13, 2016 Anantha Shekhar, M.D., Ph.D. Alexander B. Niculescu III, M.D., Ph.D. iii Dedication This work is dedicated to all those who suffer, whether their pain is physical or psychological. iv Acknowledgements The work I have done over the last several years would not have been possible without the contributions of many people. I first need to thank my terrific mentor and PI, Dr. Alexander Niculescu. He has continuously given me advice and opportunities over the years even as he has suffered through my many mistakes, and I greatly appreciate his patience. The incredible passion he brings to his work every single day has been inspirational. It has been an at times painful but often exhilarating 5 years. I need to thank Helen Le-Niculescu for being a wonderful colleague and mentor. I learned a lot about organization and presentation working alongside her, and her tireless work ethic was an excellent example for a new graduate student. I had the pleasure of working with a number of great people over the years. Mikias Ayalew showed me the ropes of the lab and began my understanding of the power of algorithms.
  • Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis

    Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis

    Getting “Under the Skin”: Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis by Kristen Monét Brown A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Epidemiological Science) in the University of Michigan 2017 Doctoral Committee: Professor Ana V. Diez-Roux, Co-Chair, Drexel University Professor Sharon R. Kardia, Co-Chair Professor Bhramar Mukherjee Assistant Professor Belinda Needham Assistant Professor Jennifer A. Smith © Kristen Monét Brown, 2017 [email protected] ORCID iD: 0000-0002-9955-0568 Dedication I dedicate this dissertation to my grandmother, Gertrude Delores Hampton. Nanny, no one wanted to see me become “Dr. Brown” more than you. I know that you are standing over the bannister of heaven smiling and beaming with pride. I love you more than my words could ever fully express. ii Acknowledgements First, I give honor to God, who is the head of my life. Truly, without Him, none of this would be possible. Countless times throughout this doctoral journey I have relied my favorite scripture, “And we know that all things work together for good, to them that love God, to them who are called according to His purpose (Romans 8:28).” Secondly, I acknowledge my parents, James and Marilyn Brown. From an early age, you two instilled in me the value of education and have been my biggest cheerleaders throughout my entire life. I thank you for your unconditional love, encouragement, sacrifices, and support. I would not be here today without you. I truly thank God that out of the all of the people in the world that He could have chosen to be my parents, that He chose the two of you.