Transcriptome Analyses of Heart and Liver Reveal Novel Pathways for Regulating Songbird Migration Received: 28 August 2018 William J
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Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
New Somatic Mutations and WNK1-B4GALNT3 Gene Fusion in Papillary Thyroid Carcinoma
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 6, No. 13 New somatic mutations and WNK1-B4GALNT3 gene fusion in papillary thyroid carcinoma Valerio Costa1,*, Roberta Esposito1,*, Carmela Ziviello1, Romina Sepe2, Larissa Valdemarin Bim2, Nunzio Antonio Cacciola2, Myriam Decaussin-Petrucci3, Pierlorenzo Pallante2, Alfredo Fusco2,4 and Alfredo Ciccodicola1,5 1 Institute of Genetics and Biophysics “Adriano Buzzati-Traverso”, CNR, Naples, Italy 2 Istituto per l’Endocrinologia e l’Oncologia Sperimentale (IEOS), Consiglio Nazionale delle Ricerche (CNR), c/o Dipartimento di Medicina Molecolare e Biotecnologie Mediche (DMMBM), Università degli Studi di Napoli “Federico II”, Naples, Italy 3 Department of Pathology, Lyon Sud Hospital Center, Hospices Civils de Lyon, Pierre-Bénite, Lyon, France 4 Instituto Nacional de Câncer - INCA, Praça da Cruz Vermelha, Rio de Janeiro, RJ, Brazil 5 Department of Science and Technology, University “Parthenope” of Naples, Italy * These authors contributed equally to this article Correspondence to: Alfredo Fusco, email: [email protected] Correspondence to: Alfredo Ciccodicola, email: [email protected] Keywords: thyroid, papillary carcinomas, RNA-Sequencing, gene fusions, mutations Received: February 24, 2015 Accepted: February 25, 2015 Published: March 14, 2015 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Papillary thyroid carcinoma (PTC) is the most frequent thyroid malignant neoplasia. Oncogene activation occurs in more than 70% of the cases. Indeed, about 40% of PTCs harbor mutations in BRAF gene, whereas RET rearrangements (RET/PTC oncogenes) are present in about 20% of cases. -
Focus on Cdc42 in Breast Cancer: New Insights, Target Therapy Development and Non-Coding Rnas
Review Focus on Cdc42 in Breast Cancer: New Insights, Target Therapy Development and Non-Coding RNAs Yu Zhang †, Jun Li †, Xing-Ning Lai, Xue-Qiao Jiao, Jun-Ping Xiong and Li-Xia Xiong * Department of Pathophysiology, Jiangxi Province Key Laboratory of Tumor Pathogenesis and Molecular Pathology, Medical College, Nanchang University, 461 Bayi Road, Nanchang 330006, China; [email protected] (Y.Z.); [email protected] (J.L.); [email protected] (X.-N.L.); [email protected] (X.-Q.J.); [email protected] (J.-P.X.) * Correspondence: [email protected]; Tel.: +86-791-8636-0556 † These authors contributed equally to this work. Received: 30 December 2018; Accepted: 8 February 2019; Published: 11 February 2019 Abstract: Breast cancer is the most common malignant tumors in females. Although the conventional treatment has demonstrated a certain effect, some limitations still exist. The Rho guanosine triphosphatase (GTPase) Cdc42 (Cell division control protein 42 homolog) is often upregulated by some cell surface receptors and oncogenes in breast cancer. Cdc42 switches from inactive guanosine diphosphate (GDP)-bound to active GTP-bound though guanine-nucleotide- exchange factors (GEFs), results in activation of signaling cascades that regulate various cellular processes such as cytoskeletal changes, proliferation and polarity establishment. Targeting Cdc42 also provides a strategy for precise breast cancer therapy. In addition, Cdc42 is a potential target for several types of non-coding RNAs including microRNAs and lncRNAs. These non-coding RNAs is extensively involved in Cdc42-induced tumor processes, while many of them are aberrantly expressed. Here, we focus on the role of Cdc42 in cell morphogenesis, proliferation, motility, angiogenesis and survival, introduce the Cdc42-targeted non-coding RNAs, as well as present current development of effective Cdc42-targeted inhibitors in breast cancer. -
Small Rho Gtpase Family Member Cdc42 and Its Role in Neuronal Survival and Apoptosis
University of Denver Digital Commons @ DU Electronic Theses and Dissertations Graduate Studies 1-1-2017 Small Rho GTPase Family Member Cdc42 and Its Role in Neuronal Survival and Apoptosis Noelle Christine Punessen University of Denver Follow this and additional works at: https://digitalcommons.du.edu/etd Part of the Biology Commons, and the Genetics and Genomics Commons Recommended Citation Punessen, Noelle Christine, "Small Rho GTPase Family Member Cdc42 and Its Role in Neuronal Survival and Apoptosis" (2017). Electronic Theses and Dissertations. 1337. https://digitalcommons.du.edu/etd/1337 This Thesis is brought to you for free and open access by the Graduate Studies at Digital Commons @ DU. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons @ DU. For more information, please contact [email protected],[email protected]. Small Rho GTPase Family Member Cdc42 and its Role in Neuronal Survival and Apoptosis A Thesis Presented to the Faculty of Natural Sciences and Mathematics University of Denver In Partial Fulfillment of the Requirements for the Degree Master of Science by Noelle C. Punessen August 2017 Advisor: Dr. Daniel A. Linseman Author: Noelle C. Punessen Title: Small Rho GTPase Family Member Cdc42 and its Role in Neuronal Survival and Apoptosis Advisor: Dr. Daniel A. Linseman Degree Date: August 2017 Abstract Neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS), Alzheimer’s and Parkinson’s disease are caused by a progressive and aberrant destruction of neurons in the brain and spinal cord. These disorders lack effective long term treatments, and existing options focus primarily on either delaying disease onset or alleviating symptomology. -
Supplementary Information Method CLEAR-CLIP. Mouse Keratinocytes
Supplementary Information Method CLEAR-CLIP. Mouse keratinocytes of the designated genotype were maintained in E-low calcium medium. Inducible cells were treated with 3 ug/ml final concentration doxycycline for 24 hours before performing CLEAR-CLIP. One 15cm dish of confluent cells was used per sample. Cells were washed once with cold PBS. 10mls of cold PBS was then added and cells were irradiated with 300mJ/cm2 UVC (254nM wavelength). Cells were then scraped from the plates in cold PBS and pelleted by centrifugation at 1,000g for 2 minutes. Pellets were frozen at -80oC until needed. Cells were then lysed on ice with occasional vortexing in 1ml of lysis buffer (50mM Tris-HCl pH 7.4, 100mM NaCl, 1mM MgCl2, 0.1 mM CaCl2, 1% NP-40, 0.5% Sodium Deoxycholate, 0.1% SDS) containing 1X protease inhibitors (Roche #88665) and RNaseOUT (Invitrogen #10777019) at 4ul/ml final concentration. Next, TurboDNase (Invitrogen #AM2238, 10U), RNase A (0.13ug) and RNase T1 (0.13U) were added and samples were incubated at 37oC for 5 minutes with occasional mixing. Samples were immediately placed on ice and then centrifuged at 16,160g at 4oC for 20 minutes to clear lysate. 25ul of Protein-G Dynabeads (Invitrogen #10004D) were used per IP. Dynabeads were pre-washed with lysis buffer and pre- incubated with 3ul of Wako Anti-Mouse-Ago2 (2D4) antibody. The dynabead/antibody mixture was added to the lysate and rocked for 2 hours at 4oC. All steps after the IP were done on bead until samples were loaded into the polyacrylamide gel. -
G Protein Regulation of MAPK Networks
Oncogene (2007) 26, 3122–3142 & 2007 Nature Publishing Group All rights reserved 0950-9232/07 $30.00 www.nature.com/onc REVIEW G Protein regulation of MAPK networks ZG Goldsmith and DN Dhanasekaran Fels Institute for Cancer Research and Molecular Biology, Temple University School of Medicine, Philadelphia, PA, USA G proteins provide signal-coupling mechanisms to hepta- the a-subunits has been used as a basis for the helical cell surface receptors and are criticallyinvolved classification of G proteins into Gs,Gi,Gq and G12 in the regulation of different mitogen-activated protein families in which the a-subunits that show more than kinase (MAPK) networks. The four classes of G proteins, 50% homology are grouped together (Simon et al., defined bythe G s,Gi,Gq and G12 families, regulate 1991). In G-protein-coupled receptor (GPCR)-mediated ERK1/2, JNK, p38MAPK, ERK5 and ERK6 modules by signaling pathways, ligand-activated receptors catalyse different mechanisms. The a- as well as bc-subunits are the exchange of the bound GDP to GTP in the a-subunit involved in the regulation of these MAPK modules in a following which the GTP-bound a-subunit disassociate context-specific manner. While the a- and bc-subunits from the receptor as well as the bg-subunit. The GTP- primarilyregulate the MAPK pathwaysvia their respec- bound a-subunit and the bg-subunit stimulate distinct tive effector-mediated signaling pathways, recent studies downstream effectors including enzymes, ion channels have unraveled several novel signaling intermediates and small GTPase, thus regulating multiple signaling including receptor tyrosine kinases and small GTPases pathways including those involved in the activation of through which these G-protein subunits positivelyas well mitogen-activated protein kinase (MAPK) modules as negativelyregulate specific MAPK modules. -
HCC and Cancer Mutated Genes Summarized in the Literature Gene Symbol Gene Name References*
HCC and cancer mutated genes summarized in the literature Gene symbol Gene name References* A2M Alpha-2-macroglobulin (4) ABL1 c-abl oncogene 1, receptor tyrosine kinase (4,5,22) ACBD7 Acyl-Coenzyme A binding domain containing 7 (23) ACTL6A Actin-like 6A (4,5) ACTL6B Actin-like 6B (4) ACVR1B Activin A receptor, type IB (21,22) ACVR2A Activin A receptor, type IIA (4,21) ADAM10 ADAM metallopeptidase domain 10 (5) ADAMTS9 ADAM metallopeptidase with thrombospondin type 1 motif, 9 (4) ADCY2 Adenylate cyclase 2 (brain) (26) AJUBA Ajuba LIM protein (21) AKAP9 A kinase (PRKA) anchor protein (yotiao) 9 (4) Akt AKT serine/threonine kinase (28) AKT1 v-akt murine thymoma viral oncogene homolog 1 (5,21,22) AKT2 v-akt murine thymoma viral oncogene homolog 2 (4) ALB Albumin (4) ALK Anaplastic lymphoma receptor tyrosine kinase (22) AMPH Amphiphysin (24) ANK3 Ankyrin 3, node of Ranvier (ankyrin G) (4) ANKRD12 Ankyrin repeat domain 12 (4) ANO1 Anoctamin 1, calcium activated chloride channel (4) APC Adenomatous polyposis coli (4,5,21,22,25,28) APOB Apolipoprotein B [including Ag(x) antigen] (4) AR Androgen receptor (5,21-23) ARAP1 ArfGAP with RhoGAP domain, ankyrin repeat and PH domain 1 (4) ARHGAP35 Rho GTPase activating protein 35 (21) ARID1A AT rich interactive domain 1A (SWI-like) (4,5,21,22,24,25,27,28) ARID1B AT rich interactive domain 1B (SWI1-like) (4,5,22) ARID2 AT rich interactive domain 2 (ARID, RFX-like) (4,5,22,24,25,27,28) ARID4A AT rich interactive domain 4A (RBP1-like) (28) ARID5B AT rich interactive domain 5B (MRF1-like) (21) ASPM Asp (abnormal -
UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Isolation and characterization of neuronal substrates of the ubiquitin proteasome system Permalink https://escholarship.org/uc/item/7jg5g3qg Author Keil, Jeffrey McCartney Publication Date 2011 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Isolation and Characterization of Neuronal Substrates of the Ubiquitin Proteasome System A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biology by Jeffrey McCartney Keil Committee in charge: Professor Gentry Patrick, Chair Professor Michael Burkart Professor Randolph Hampton Professor Terunaga Nakagawa Professor Yimin Zou 2011 Copyright Jeffrey McCartney Keil, 2011 All rights reserved The dissertation of Jeffrey McCartney Keil is approved, and it is acceptable in quality and form for publication on microfilm and electronically: ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ ________________________________________________________________________ Chair University of California, San Diego 2011 iii DEDICATION To my loving parents, Richard and Mary, who made this all possible. iv EPIGRAPH You could tell by the way he talked, though, -
CDC42 and Three Newly Identified Genes Including the Ras-Related
Proc. Natl. Acad. Sci. USA Vol. 86, pp. 9976-9980, December 1989 Genetics Multicopy suppression of the cdc24 budding defect in yeast by CDC42 and three newly identified genes including the ras-related gene RSRI (cell polarity/cell cycle/morphogenesis/Saccharomyces cerevisiae/guanine nucleotide-binding protein) ALAN BENDER AND JOHN R. PRINGLE Department of Biology, The University of Michigan, Ann Arbor, MI 48109 Communicated by Leland Hartwell, July 31, 1989 ABSTRACT Genes CDC24, CDC42, and CDC43 are re- Johnson, and J.R.P., unpublished data), and overproduction quired for the establishment ofcell polarity and the localization of the CDC42 product can produce a mislocalization of of secretion in Saccharomyces cerevisiae; mutants defective in budding sites like that seen in some cdc24 mutants (D. these genes fail to form buds and display isotropic expansion of Johnson and J.R.P., unpublished data). Sequencing of the cell surface. To identify other genes that may be involved CDC42 (D. Johnson and J.R.P., unpublished data) revealed in these processes, we screened yeast genomic DNA libraries for that it is a member of the rho family (11) of ras oncogene- heterologous genes that, when overexpressed from a plasmid, related genes and encodes typical domains for GTP binding can suppress a temperature-sensitive cdc24 mutation. We and hydrolysis. Moreover, its C-terminal sequence suggests identified four such genes. One of these proved to be CDC42, that the CDC42 product, like the ras products, may be which has previously been shown to be a member of the rho modified and thence membrane-associated. The available (ras-homologous) family of genes, and a second is a newly observations suggest a tentative model in which the products identified ras-related gene that we named RSR1. -
Ingenuity Canonical Pathways
Supplementary Table 4: Canonical pathways of differentially expressed genes between cases and controls in combined microarray and RT- qPCR experiments Ingenuity Canonical Pathways -log(p-value) Ratio Molecules Complement System 6.35 0.111 CD55,CD59,ITGAM,C3AR1 Granulocyte Adhesion and Diapedesis 5.02 0.0303 IL1R2,GNAI3,ITGAM,IL1RN,MMP9 LXR/RXR Activation 4.24 0.0331 IL1R2,IL1RN,SERPINA1,MMP9 IL-10 Signaling 3.64 0.0441 IL1R2,MAPK14,IL1RN Leukocyte Extravasation Signaling 3.36 0.0195 GNAI3,MAPK14,ITGAM,MMP9 p38 MAPK Signaling 2.95 0.0256 IL1R2,MAPK14,IL1RN Atherosclerosis Signaling 2.88 0.0242 IL1RN,SERPINA1,MMP9 IL-6 Signaling 2.85 0.0236 IL1R2,MAPK14,IL1RN Inhibition of Angiogenesis by TSP1 2.84 0.0625 MAPK14,MMP9 Glucocorticoid Receptor Signaling 2.83 0.0141 IL1R2,MAPK14,BAG1,IL1RN IL-17A Signaling in Fibroblasts 2.77 0.0571 MAPK14,LCN2 Notch Signaling 2.72 0.0541 NUMB,PSEN1 Acute Phase Response Signaling 2.5 0.0179 MAPK14,IL1RN,SERPINA1 Amyloid Processing 2.46 0.04 MAPK14,PSEN1 Agranulocyte Adhesion and Diapedesis 2.45 0.0171 GNAI3,IL1RN,MMP9 NF-κB Signaling 2.44 0.0169 IL1R2,LCK,IL1RN Molecular Mechanisms of Cancer 2.42 0.0109 GNAI3,MAPK14,CFLAR,PSEN1 IL-8 Signaling 2.31 0.0153 GNAI3,ITGAM,MMP9 LPS/IL-1 Mediated Inhibition of RXR Function 2.24 0.0144 IL1R2,IL1RN,ACSL1 CCR5 Signaling in Macrophages 2.21 0.0299 GNAI3,MAPK14 Chemokine Signaling 2.2 0.0294 GNAI3,MAPK14 Caveolar-mediated Endocytosis Signaling 2.16 0.0282 CD55,ITGAM Arginine Degradation I (Arginase Pathway) 2.15 0.25 ARG1 Acetate Conversion to Acetyl-CoA 2.15 0.25 ACSL1 -
The Small GTP-Binding Proteins Racl, and Cdc42 Regulate the Activity of the JNK/SAPK Signaling Pathway
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Cell, Vol. 81, 1137-1146, June 30, 1995, Copyright © 1995 by Cell Press The Small GTP-Binding Proteins Racl, and Cdc42 Regulate the Activity of the JNK/SAPK Signaling Pathway Omar A. Coso,* Mario Chiariello,* Jin-Chen Yu,t closely related to MAPKs have been identified. One class Hidemi Teramoto,* Piero Crespo,* Ningzhi Xu,* presents extended similarity to the Saccharomyces cere- Toru Miki,t and J. Silvio Gutkind* visiae HOG1 kinase (Han et al., 1994), which is involved *Molecular Signaling Unit in protecting S. cerevisiae from hyperosmotic solutions Laboratory of Cellular Development and Oncology (reviewed by Herskowitz, 1995). The role of this mamma- National Institute of Dental Research lian HOG1 homolog is largely unknown. Although it can tLaboratory of Cellular and Molecular Biology also be activated by changes in osmolarity, it appears to National Cancer Institute participate in the inflammatory response to lipopolysac- National Institutes of Health charides or to inflammatory mediators such as interleu- Bethesda, Maryland 20892 kin-1 (IL-1) (Han et al., 1994; Freshney et al., 1994). The other class of MAPKs represents a family of closely related enzymes activated by cellular stress, which have been Summary named stress-activated protein kinases (SAPKs) (Kyriakis et al., 1994). SAPKs were independently identified by vir- c-Jun amino-terminal kinases (JNKs) and mitogen- tue of their ability to phosphorylate the amino terminus of activated protein kinases (MAPKs) are closely related; the c-Jun transcription factor; hence, they have been also however, they are independently regulated by a variety termed c-Jun amino-terminal kinases (JNKs) (D~rijard et of environmental stimuli. -
Identification of Key Genes and Pathways for Alzheimer's Disease
Biophys Rep 2019, 5(2):98–109 https://doi.org/10.1007/s41048-019-0086-2 Biophysics Reports RESEARCH ARTICLE Identification of key genes and pathways for Alzheimer’s disease via combined analysis of genome-wide expression profiling in the hippocampus Mengsi Wu1,2, Kechi Fang1, Weixiao Wang1,2, Wei Lin1,2, Liyuan Guo1,2&, Jing Wang1,2& 1 CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China 2 Department of Psychology, University of Chinese Academy of Sciences, Beijing 10049, China Received: 8 August 2018 / Accepted: 17 January 2019 / Published online: 20 April 2019 Abstract In this study, combined analysis of expression profiling in the hippocampus of 76 patients with Alz- heimer’s disease (AD) and 40 healthy controls was performed. The effects of covariates (including age, gender, postmortem interval, and batch effect) were controlled, and differentially expressed genes (DEGs) were identified using a linear mixed-effects model. To explore the biological processes, func- tional pathway enrichment and protein–protein interaction (PPI) network analyses were performed on the DEGs. The extended genes with PPI to the DEGs were obtained. Finally, the DEGs and the extended genes were ranked using the convergent functional genomics method. Eighty DEGs with q \ 0.1, including 67 downregulated and 13 upregulated genes, were identified. In the pathway enrichment analysis, the 80 DEGs were significantly enriched in one Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, GABAergic synapses, and 22 Gene Ontology terms. These genes were mainly involved in neuron, synaptic signaling and transmission, and vesicle metabolism. These processes are all linked to the pathological features of AD, demonstrating that the GABAergic system, neurons, and synaptic function might be affected in AD.