A Genome-Wide Approach Identifies Distinct but Overlapping Subsets of Cellular Mrnas Associated with Staufen1- and Staufen2-Containing Ribonucleoprotein Complexes
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The Title of the Article
Mechanism-Anchored Profiling Derived from Epigenetic Networks Predicts Outcome in Acute Lymphoblastic Leukemia Xinan Yang, PhD1, Yong Huang, MD1, James L Chen, MD1, Jianming Xie, MSc2, Xiao Sun, PhD2, Yves A Lussier, MD1,3,4§ 1Center for Biomedical Informatics and Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL 60637 USA 2State Key Laboratory of Bioelectronics, Southeast University, 210096 Nanjing, P.R.China 3The University of Chicago Cancer Research Center, and The Ludwig Center for Metastasis Research, The University of Chicago, Chicago, IL 60637 USA 4The Institute for Genomics and Systems Biology, and the Computational Institute, The University of Chicago, Chicago, IL 60637 USA §Corresponding author Email addresses: XY: [email protected] YH: [email protected] JC: [email protected] JX: [email protected] XS: [email protected] YL: [email protected] - 1 - Abstract Background Current outcome predictors based on “molecular profiling” rely on gene lists selected without consideration for their molecular mechanisms. This study was designed to demonstrate that we could learn about genes related to a specific mechanism and further use this knowledge to predict outcome in patients – a paradigm shift towards accurate “mechanism-anchored profiling”. We propose a novel algorithm, PGnet, which predicts a tripartite mechanism-anchored network associated to epigenetic regulation consisting of phenotypes, genes and mechanisms. Genes termed as GEMs in this network meet all of the following criteria: (i) they are co-expressed with genes known to be involved in the biological mechanism of interest, (ii) they are also differentially expressed between distinct phenotypes relevant to the study, and (iii) as a biomodule, genes correlate with both the mechanism and the phenotype. -
Identification and Diagnostic Performance of a Small RNA Within the PCA3 and BMCC1 Gene Locus That Potentially Targets Mrna
Published OnlineFirst November 12, 2014; DOI: 10.1158/1055-9965.EPI-14-0377 Research Article Cancer Epidemiology, Biomarkers Identification and Diagnostic Performance of a & Prevention Small RNA within the PCA3 and BMCC1 Gene Locus That Potentially Targets mRNA Ross M. Drayton1, Ishtiaq Rehman1, Raymond Clarke2, Zhongming Zhao3,4, Karl Pang1, Saiful Miah1, Robert Stoehr5, Arndt Hartmann5, Sheila Blizard1, Martin Lavin2, Helen E. Bryant1, Elena S. Martens-Uzunova6, Guido Jenster6, Freddie C. Hamdy7, Robert A. Gardiner2, and James W.F. Catto1 Abstract Background: PCA3 is a long noncoding RNA (lncRNA) with malignant prostatic tissues, exfoliated urinary cells from men unknown function, upregulated in prostate cancer. LncRNAs may with prostate cancer (13–273 fold change; t test P < 0.003), and be processed into smaller active species. We hypothesized this for closely correlated to PCA3 expression (r ¼ 0.84–0.93; P < 0.001). PCA3. Urinary PCA3-shRNA2 (C-index, 0.75–0.81) and PCA3 (C-index, Methods: We computed feasible RNA hairpins within the 0.78) could predict the presence of cancer in most men. PCA3- BMCC1 gene (encompassing PCA3) and searched a prostate shRNA2 knockup altered the expression of predicted target transcriptome for these. We measured expression using qRT- mRNAs, including COPS2, SOX11, WDR48, TEAD1, and Noggin. PCR in three cohorts of prostate cancer tissues (n ¼ 60), PCA3-shRNA2 expression was negatively correlated with COPS2 exfoliated urinary cells (n ¼ 484 with cancer and n ¼ 166 in patient samples (r ¼0.32; P < 0.001). controls), and in cell lines (n ¼ 22). We used in silico predictions Conclusion: We identified a short RNA within PCA3, whose and RNA knockup to identify potential mRNA targets of short expression is correlated to PCA3, which may target mRNAs transcribed RNAs. -
Supplementary Material for “Characterization of the Opossum Immune Genome Provides Insights Into the Evolution of the Mammalian Immune System”
Supplementary material for “Characterization of the opossum immune genome provides insights into the evolution of the mammalian immune system” Katherine Belov1*, Claire E. Sanderson1, Janine E. Deakin2, Emily S.W. Wong1, Daniel Assange3, Kaighin A. McColl3, Alex Gout3,4, Bernard de Bono5, Terence P. Speed3, John Trowsdale5, Anthony T. Papenfuss3 1. Faculty of Veterinary Science, University of Sydney, Sydney, Australia 2. ARC Centre for Kangaroo Genomics, Research School of Biological Sciences, The Australian National University, Canberra, Australia 3. Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Australia 4. Department of Medical Biology, The University of Melbourne, Parkville, Australia 5. Immunology Division, University of Cambridge, Cambridge, UK *Corresponding author: K. Belov, Faculty of Veterinary Science, University of Sydney, NSW 2006, Australia ph 61 2 9351 3454, fx 61 2 9351 3957, email [email protected] MHC paralogous regions Only 36 of the 114 genes in the opossum MHC have paralogs in one of the three paralogous regions (Supplementary Table 1). Genes represented in at least three of the four paralogous regions (13 genes) were used to compare gene order, revealing rearrangements between the four regions in opossum. Table 1: MHC genes with paralogs on opossum chromosomes 1, 2 and 3, corresponding to MHC paralogous regions on human chromosomes 9, 1 and 19 respectively. MHC Chromosome 1 Chromosome 2 Chromosome 3 (Human Chr 9) (Human Chr 1) (Human Chr 19) AGPAT1 AGPAT2 AIF1 C9orf58 ATP6V1G2 ATP6V1G1 ATP6V1G3 B3GALT4 B3GALT2 BAT1 DDX39 BAT2 KIAA0515 BAT2D1 BRD2 BRD3 BRDT BRD4 C4 C5 C3 SLC44A4 SLC44A5 SLC44A2 CLIC1 CLIC3 CLIC4 COL11A2 COL5A1 COL11A1 COL5A3 CREBL1 ATF6 DDAH2 DDAH1 DDR1 DDR2 EGFL8 EGFL7 EHMT2 EHMT1 GPX5 GPX4 MHC Class I CD1 HSPA1A HSPA5 MDC1 PRG4 NOTCH4 NOTCH1 NOTCH2 NOTCH3 PBX2 PBX3 PBX1 PBX4 PHF1 MTF2 PRSS16 DPP7 PSMB9 PSMB7 RGL2 RALGDS RGL1 RGL3 RING1 RNF2 RXRB RXRA RXRG SYNGAP1 RASAL2 TAP ABCA2 TNF/LTA/LTB TNFSF8/TNFSF15 TNFSF4 CD70/TNFSF9/ TNFSF14/ TNXB TNC TNR Table 2. -
Lin28b and Mir-142-3P Regulate Neuronal Differentiation by Modulating Staufen1 Expression
Cell Death and Differentiation (2018) 25, 432–443 & 2018 ADMC Associazione Differenziamento e Morte Cellulare All rights reserved 1350-9047/18 www.nature.com/cdd Lin28B and miR-142-3p regulate neuronal differentiation by modulating Staufen1 expression Younseo Oh1,5, Jungyun Park1,5, Jin-Il Kim1, Mi-Yoon Chang2, Sang-Hun Lee3, Youl-Hee Cho*,4 and Jungwook Hwang*,1,4 Staufen1 (STAU1) and Lin28B are RNA-binding proteins that are involved in neuronal differentiation as a function of post- transcriptional regulation. STAU1 triggers post-transcriptional regulation, including mRNA export, mRNA relocation, translation and mRNA decay. Lin28B also has multiple functions in miRNA biogenesis and the regulation of translation. Here, we examined the connection between STAU1 and Lin28B and found that Lin28B regulates the abundance of STAU1 mRNA via miRNA maturation. Decreases in the expression of both STAU1 and Lin28B were observed during neuronal differentiation. Depletion of STAU1 or Lin28B inhibited neuronal differentiation, and overexpression of STAU1 or Lin28B enhanced neuronal differentiation. Interestingly, the stability of STAU1 mRNA was modulated by miR-142-3p, whose maturation was regulated by Lin28B. Thus, miR-142-3p expression increased as Lin28B expression decreased during differentiation, leading to the reduction of STAU1 expression. The transcriptome from Staufen-mediated mRNA decay (SMD) targets during differentiation was analyzed, confirming that STAU1 was a key factor in neuronal differentiation. In support of this finding, regulation of STAU1 expression in mouse neural precursor cells had the same effects on neuronal differentiation as it did in human neuroblastoma cells. These results revealed the collaboration of two RNA-binding proteins, STAU1 and Lin28B, as a regulatory mechanism in neuronal differentiation. -
1213508110.Full.Pdf
Staufen2 functions in Staufen1-mediated mRNA decay INAUGURAL ARTICLE by binding to itself and its paralog and promoting UPF1 helicase but not ATPase activity Eonyoung Parka,b, Michael L. Gleghorna,b, and Lynne E. Maquata,b,1 aDepartment of Biochemistry and Biophysics, School of Medicine and Dentistry, and bCenter for RNA Biology, University of Rochester, Rochester, NY 14642 This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2011. Edited by Michael R. Botchan, University of California, Berkeley, CA, and approved November 16, 2012 (received for review August 3, 2012) Staufen (STAU)1-mediated mRNA decay (SMD) is a posttranscrip- harbor a STAU1-binding site (SBS) downstream of their normal tional regulatory mechanism in mammals that degrades mRNAs termination codon in a pathway called STAU1-mediated mRNA harboring a STAU1-binding site (SBS) in their 3′-untranslated regions decay or SMD (13, 14), and work published by others indicates (3′ UTRs). We show that SMD involves not only STAU1 but also its that SMD does not involve STAU2 (3, 15). paralog STAU2. STAU2, like STAU1, is a double-stranded RNA-binding According to our current model for SMD, when translation protein that interacts directly with the ATP-dependent RNA helicase terminates upstream of an SBS, recruitment of the nonsense-me- diated mRNA decay (NMD) factor UPF1 to SBS-bound STAU1 up-frameshift 1 (UPF1) to reduce the half-life of SMD targets that form fl an SBS by either intramolecular or intermolecular base-pairing. Com- triggers mRNA decay. SMD in uences a number of cellular pro- pared with STAU1, STAU2 binds ∼10-foldmoreUPF1and∼two- to cesses, including the differentiation of mouse C2C12 myoblasts to myotubes (16), the motility of human HaCaT keratinocytes (17), fivefold more of those SBS-containing mRNAs that were tested, and it and the differentiation of mouse 3T3-L1 preadipocytes to adipo- comparably promotes UPF1 helicase activity, which is critical for SMD. -
Staufen 1 Amplifies Pro-Apoptotic Activation of the Unfolded Protein
bioRxiv preprint doi: https://doi.org/10.1101/820225; this version posted October 28, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Staufen 1 amplifies pro-apoptotic activation of the unfolded protein response Mandi Gandelman, Warunee Dansithong, Karla P Figueroa, Sharan Paul, Daniel R Scoles, Stefan M Pulst. Author affiliation and address: Department of Neurology, University of Utah, 175 North Medical Drive East, 5th Floor, Salt Lake City, Utah 84132, USA Corresponding author: Stefan M. Pulst [email protected] Running title: STAU1 amplifies apoptosis Abstract Staufen-1 (STAU1) is an RNA binding protein that becomes highly overabundant in numerous neurodegenerative disease models, including those carrying mutations in presenilin1 (PSEN1), microtubule associated protein tau (MAPT), huntingtin (HTT), TAR DNA-binding protein-43 gene (TARDBP) or C9orf72. We previously reported that elevations in STAU1 determine autophagy defects. Additional functional consequences of STAU1 overabundance, however, have not been investigated. We studied the role of STAU1 in the chronic activation of the Unfolded Protein Response (UPR), a common feature among the neurodegenerative diseases where STAU1 is increased, and is directly associated with neuronal death. Here we report that STAU1 is a novel modulator of the UPR, and is required for apoptosis induced by activation of the PERK-CHOP pathway. STAU1 levels increased in response to multiple ER stressors and exogenous expression of STAU1 was sufficient to cause apoptosis through the PERK-CHOP pathway of the UPR. Cortical neurons and skin fibroblasts derived from Stau1-/- mice showed reduced UPR and apoptosis when challenged with thapsigargin. -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Staufen 1 Does Not Play a Role in NPC Asymmetric Divisions but Regulates Cellular Positioning During Corticogenesis
Staufen 1 does not play a role in NPC asymmetric divisions but regulates cellular positioning during corticogenesis by Christopher Kuc A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Molecular and Cellular Biology Guelph, Ontario, Canada © Christopher Kuc, September 2018 ABSTRACT INVESTIGATING THE ROLE OF STAUFEN1 IN ASYMMETRIC NEURAL PRECURSOR CELL DIVISIONS IN THE DEVELOPING CEREBRAL CORTEX Christopher Kuc Advisors: Dr. John Vessey University of Guelph, 2018 Cerebral cortex development relies on asymmetric divisions of neural precursor cells (NPCs) to produce a recurring NPC and a differentiated neuron. Asymmetric divisions are promoted by the differential localization of cell fate determinants between daughter cells. Staufen 1 (Stau1) is an RNA-binding protein known to localize mRNA in mature hippocampal neurons. However, its expression pattern and role in the developing mammalian cortex remains unknown. In this study, Stau1 mRNA and protein were found to be expressed in all cells examined and was temporally and spatially characterized across development. Upon shRNA-mediated knockdown of Stau1 in primary cortical cultures, NPCs retained the ability to self-renew and generate neurons despite the loss of Stau1 expression. This said, in vivo knockdown of Stau1 demonstrated that it may play a role in anchoring NPCs to the ventricular zone during cortical development. ACKNOWLEDGMENTS I would first like to thank my advisor Dr. John Vessey. Throughout these 2 years, you have provided me with an invaluable opportunity and played an instrumental role in shaping me as a scientist. The guidance, support and expertise you have provided me will be always appreciated and never forgotten. -
Examination of the Role of the Hu Proteins, Hur and Hud, in Prostate Cancer Cells
Examination of the Role of the Hu Proteins, HuR and HuD, in Prostate Cancer Cells. Christin Florence Down This thesis is presented for the degree of Doctor of Philosophy to the School of Medicine and Pharmacology, University of Western Australia. January 2007 i Declaration. This thesis contains published work and/or work prepared for publication, some of which has been co-authored . The bibliographic details of the works and where they appear in the thesis are set out below. (The candidate must attach to this declaration a statement detailing the percentage contribution of each author to the work. This must been signed by all authors. Where this is not possible, the statement detailing the percentage contribution of authors should be signed by the candidate’s Coordinating Supervisor). This thesis contains experimental data from the following co-authored work: Hu Proteins are Expressed and Regulate Androgen Receptor Expression and Cell Proliferation in Prostate Cancer. Christin F Down , Dianne J Beveridge, Michael R Epis, Ricky Lareu, Lisa M Stuart, Britt Granath, Dominic C Voon, Henry Furneaux, Cecily Metcalf, Jacqueline Bentel and Peter J Leedman. Submitted to Cancer Research . The relative contribution of authors is as follows: Christin Down (the Candidate): 55% Dianne J Beveridge 6 % Michael R Epis 6 % Ricky Lareu 3 % Lisa M Stuart 3 % Britt Granath 3 % Dominic Voon 3 % Henry Furneaux 3 % Cecily Metcalf 3 % Jacqueline Bentel 5 % Peter J Leedman 10 % Data from the manuscript described above are presented in this thesis in the following figures, and were performed by the investigator indicated: Figure 3.1A : Dr Cecily Metcalfe, Department of Pathology, Royal Perth Hospital. -
(COPD) and Lung Cancer by Means of Cell Specific
UNDERSTANDING SHARED PATHOGENESIS BETWEEN CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD) AND LUNG CANCER BY MEANS OF CELL SPECIFIC GENOMICS CLARA EMILY GREEN A thesis submitted to the University of Birmingham for the degree of DOCTOR OF PHILOSOPHY The Institute of Inflammation and Ageing College of Medical and Dental Sciences University of Birmingham February 2018 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. Abstract Introduction COPD (Chronic Obstructive Pulmonary Disease) and lung cancer are related conditions associated with inflammation. Relatively little focus has been given to the endothelium, through which inflammatory cells transmigrate to reach the lung. We sought to determine if coding and non-coding alterations in pulmonary endothelium exist in COPD and lung cancer. Methods Patients with and without COPD undergoing thoracic surgery were recruited. Pulmonary Endothelial Cells were isolated from lung and tumour and extracted RNA (ribonucleic acid) used for miRNA (micro-RNA) and mRNA (messenger RNA) microarrays. Ingenuity pathway analysis (IPA) was also carried out. Results 2071 genes and 43 miRNAs were significantly upregulated in COPD. 4 targets were validated by quantitative polymerase chain reaction, of which miR-181b-3p was chosen for functional validation. -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
Identification of Lncrna Expression Profile in the Spinal Cord of Mice
Jiang et al. Mol Pain (2015) 11:43 DOI 10.1186/s12990-015-0047-9 RESEARCH Open Access Identification of lncRNA expression profile in the spinal cord of mice following spinal nerve ligation‑induced neuropathic pain Bao‑Chun Jiang1,2†, Wen‑Xing Sun3†, Li‑Na He1,2, De‑Li Cao1,2, Zhi‑Jun Zhang1,2 and Yong‑Jing Gao1,2* Abstract Background: Neuropathic pain that caused by lesion or dysfunction of the nervous system is associated with gene expression changes in the sensory pathway. Long noncoding RNAs (lncRNAs) have been reported to be able to regu‑ late gene expression. Identifying lncRNA expression patterns in the spinal cord under normal and neuropathic pain conditions is essential for understanding the genetic mechanisms behind the pathogenesis of neuropathic pain. Results: Spinal nerve ligation (SNL) induced rapid and persistent pain hypersensitivity, characterized by mechanical allodynia and heat hyperalgesia. Meanwhile, astrocytes and microglia were dramatically activated in the ipsilateral spinal cord dorsal horn at 10 days after SNL. Further lncRNA microarray and mRNA microarray analysis showed that the expression profiles of lncRNA and mRNA between SNL and sham-operated mice were greatly changed at 10 days. The 511 differentially expressed (>2 fold) lncRNAs (366 up-regulated, 145 down-regulated) and 493 mRNAs (363 up- regulated, 122 down-regulated) were finally identified. The expression patterns of several lncRNAs and mRNAs were further confirmed by qPCR. Functional analysis of differentially expressed (DE) mRNAs showed that the most signifi‑ cant enriched biological processes of up-regulated genes in SNL include immune response, defense response, and inflammation response, which are important pathogenic mechanisms underlying neuropathic pain.