Signal Transduction in L-DOPA-Induced Dyskinesia: from Receptor Sensitization to Abnormal… Et Al
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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. -
Ck1δ Over-Expressing Mice Display ADHD-Like Behaviors, Frontostriatal Neuronal Abnormalities and Altered Expressions of ADHD-Candidate Genes
Molecular Psychiatry (2020) 25:3322–3336 https://doi.org/10.1038/s41380-018-0233-z ARTICLE CK1δ over-expressing mice display ADHD-like behaviors, frontostriatal neuronal abnormalities and altered expressions of ADHD-candidate genes 1 1 1 2 1 1 1 Mingming Zhou ● Jodi Gresack ● Jia Cheng ● Kunihiro Uryu ● Lars Brichta ● Paul Greengard ● Marc Flajolet Received: 8 November 2017 / Revised: 4 July 2018 / Accepted: 18 July 2018 / Published online: 19 October 2018 © Springer Nature Limited 2018 Abstract The cognitive mechanisms underlying attention-deficit hyperactivity disorder (ADHD), a highly heritable disorder with an array of candidate genes and unclear genetic architecture, remain poorly understood. We previously demonstrated that mice overexpressing CK1δ (CK1δ OE) in the forebrain show hyperactivity and ADHD-like pharmacological responses to D- amphetamine. Here, we demonstrate that CK1δ OE mice exhibit impaired visual attention and a lack of D-amphetamine- induced place preference, indicating a disruption of the dopamine-dependent reward pathway. We also demonstrate the presence of abnormalities in the frontostriatal circuitry, differences in synaptic ultra-structures by electron microscopy, as 1234567890();,: 1234567890();,: well as electrophysiological perturbations of both glutamatergic and GABAergic transmission, as observed by altered frequency and amplitude of mEPSCs and mIPSCs. Furthermore, gene expression profiling by next-generation sequencing alone, or in combination with bacTRAP technology to study specifically Drd1a versus Drd2 medium spiny neurons, revealed that developmental CK1δ OE alters transcriptional homeostasis in the striatum, including specific alterations in Drd1a versus Drd2 neurons. These results led us to perform a fine molecular characterization of targeted gene networks and pathway analysis. Importantly, a large fraction of 92 genes identified by GWAS studies as associated with ADHD in humans are significantly altered in our mouse model. -
Supporting Information for Proteomics DOI 10.1002/Pmic.200400942
Supporting Information for Proteomics DOI 10.1002/pmic.200400942 Wei-Jun Qian, Jon M. Jacobs, David G. Camp II, Matthew E. Monroe, Ronald J. Moore, Marina A. Gritsenko, Steve E. Calvano, Stephen F. Lowry, Wenzhong Xiao, Lyle L. Moldawer, Ronald W. Davis, Ronald G. Tompkins and Richard D. Smith Comparative proteome analyses of human plasma following in vivo lipopolysaccharide administration using multidimensional separations coupled with tandem mass spectrometry ã 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.proteomics-journal.de Supplemental Table 1: List of 804 identified plasma proteins. Note: Reference IDs correspond to either SwissProt, NCBI, or PIR database entries. For each protein, one representive peptide sequence and the peptide charge_state, SEQUEST Xcorr, and Delcn are listed. The number of different peptides identifying each specific protein is also indicated. To facilitate comparison of protein abundances between the untreated and treated samples, the numbers of peptide hit, the protein abundance ratio (treated/untreated) calculated from peptide peak area ratios, and the standard deviation of peptide peak area ratios for each protein are also listed. No abundance ratio is shown if the protein has no common peptide identified in the two samples. Whether the same protein ID was reported in reference 16 and reference 27 (195 proteins observed from two different sources) is also indicated. Reference Description # of different Representitive peptide Charge_state Xcorr DelCn peptides Peptide Hits Peptide Protein Standard -
Spatial Distribution of Leading Pacemaker Sites in the Normal, Intact Rat Sinoa
Supplementary Material Supplementary Figure 1: Spatial distribution of leading pacemaker sites in the normal, intact rat sinoatrial 5 nodes (SAN) plotted along a normalized y-axis between the superior vena cava (SVC) and inferior vena 6 cava (IVC) and a scaled x-axis in millimeters (n = 8). Colors correspond to treatment condition (black: 7 baseline, blue: 100 µM Acetylcholine (ACh), red: 500 nM Isoproterenol (ISO)). 1 Supplementary Figure 2: Spatial distribution of leading pacemaker sites before and after surgical 3 separation of the rat SAN (n = 5). Top: Intact SAN preparations with leading pacemaker sites plotted during 4 baseline conditions. Bottom: Surgically cut SAN preparations with leading pacemaker sites plotted during 5 baseline conditions (black) and exposure to pharmacological stimulation (blue: 100 µM ACh, red: 500 nM 6 ISO). 2 a &DUGLDFIoQChDQQHOV .FQM FOXVWHU &DFQDG &DFQDK *MD &DFQJ .FQLS .FQG .FQK .FQM &DFQDF &DFQE .FQM í $WSD .FQD .FQM í .FQN &DVT 5\U .FQM &DFQJ &DFQDG ,WSU 6FQD &DFQDG .FQQ &DFQDJ &DFQDG .FQD .FQT 6FQD 3OQ 6FQD +FQ *MD ,WSU 6FQE +FQ *MG .FQN .FQQ .FQN .FQD .FQE .FQQ +FQ &DFQDD &DFQE &DOP .FQM .FQD .FQN .FQG .FQN &DOP 6FQD .FQD 6FQE 6FQD 6FQD ,WSU +FQ 6FQD 5\U 6FQD 6FQE 6FQD .FQQ .FQH 6FQD &DFQE 6FQE .FQM FOXVWHU V6$1 L6$1 5$ /$ 3 b &DUGLDFReFHSWRUV $GUDF FOXVWHU $GUDD &DY &KUQE &KUP &KJD 0\O 3GHG &KUQD $GUE $GUDG &KUQE 5JV í 9LS $GUDE 7SP í 5JV 7QQF 3GHE 0\K $GUE *QDL $QN $GUDD $QN $QN &KUP $GUDE $NDS $WSE 5DPS &KUP 0\O &KUQD 6UF &KUQH $GUE &KUQD FOXVWHU V6$1 L6$1 5$ /$ 4 c 1HXURQDOPURWHLQV -
Supplemental Data Olig2-Regulated Lineage-Restricted Pathway Controls Replication Competence in Neural Stem Cells and Malignant
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Caltech Authors Neuron, Volume 53 Supplemental Data Olig2-Regulated Lineage-Restricted Pathway Controls Replication Competence in Neural Stem Cells and Malignant Glioma Keith L. Ligon, Emmanuelle Huillard, Shwetal Mehta, Santosh Kesari, Hongye Liu, John A. Alberta, Robert M. Bachoo, Michael Kane, David N. Louis, Ronald A. DePinho, David J. Anderson, Charles D. Stiles, and David H. Rowitch Figure S1. Olig1/2+/- Ink4a/Arf-/-EGFRvIII Gliomas Express Characteristic Morphologic and Immunophenotypic Features of Human Malignant Gliomas (A) Tumors exhibit dense cellularity and atypia. (B) Characteristic infiltration of host SVZ stem cell niche. (C) Although occasional tumors exhibited pseudopalisading necrosis (n, arrowhead) and hemorrhage (h, arrowhead) similar to human GBM (Astrocytoma WHO Grade IV), most tumors lacked these features. (D) IHC for hEGFR highlights hallmark feature of human gliomas, including perivascular (pv) and subpial (sp) accumulation of tumor cells, (E) striking white matter tropism of tumor cells in corpus callosum (cc), and (F) distant single cell infiltration of cerebellar white matter (wm, arrows). (G-J) Immunohistochemical markers characteristic of human tumors (Gfap, Olig2, Olig1, Nestin) are present. (K and L) Weak staining for the early neuronal marker TuJ1 and absence of the differentiated neuronal marker, NeuN similar to human glioma and consistent with heterogeneous lines of partial differentiation. Figure S2. Olig1/2+/- Ink4a/Arf-/-EGFRvIII Neurospheres Are Multipotent and Olig1/2-/- Ink4a/Arf-/-EGFRvIII Neurospheres Are Bipotent Olig1/2+/- or Olig1/2-/- Ink4a/Arf-/-EGFRvIII neurospheres were allowed to differentiate for 6 days in medium without EGF. -
Supp Table 6.Pdf
Supplementary Table 6. Processes associated to the 2037 SCL candidate target genes ID Symbol Entrez Gene Name Process NM_178114 AMIGO2 adhesion molecule with Ig-like domain 2 adhesion NM_033474 ARVCF armadillo repeat gene deletes in velocardiofacial syndrome adhesion NM_027060 BTBD9 BTB (POZ) domain containing 9 adhesion NM_001039149 CD226 CD226 molecule adhesion NM_010581 CD47 CD47 molecule adhesion NM_023370 CDH23 cadherin-like 23 adhesion NM_207298 CERCAM cerebral endothelial cell adhesion molecule adhesion NM_021719 CLDN15 claudin 15 adhesion NM_009902 CLDN3 claudin 3 adhesion NM_008779 CNTN3 contactin 3 (plasmacytoma associated) adhesion NM_015734 COL5A1 collagen, type V, alpha 1 adhesion NM_007803 CTTN cortactin adhesion NM_009142 CX3CL1 chemokine (C-X3-C motif) ligand 1 adhesion NM_031174 DSCAM Down syndrome cell adhesion molecule adhesion NM_145158 EMILIN2 elastin microfibril interfacer 2 adhesion NM_001081286 FAT1 FAT tumor suppressor homolog 1 (Drosophila) adhesion NM_001080814 FAT3 FAT tumor suppressor homolog 3 (Drosophila) adhesion NM_153795 FERMT3 fermitin family homolog 3 (Drosophila) adhesion NM_010494 ICAM2 intercellular adhesion molecule 2 adhesion NM_023892 ICAM4 (includes EG:3386) intercellular adhesion molecule 4 (Landsteiner-Wiener blood group)adhesion NM_001001979 MEGF10 multiple EGF-like-domains 10 adhesion NM_172522 MEGF11 multiple EGF-like-domains 11 adhesion NM_010739 MUC13 mucin 13, cell surface associated adhesion NM_013610 NINJ1 ninjurin 1 adhesion NM_016718 NINJ2 ninjurin 2 adhesion NM_172932 NLGN3 neuroligin -
Supplementary Table 2
Supplementary Table 2. Differentially Expressed Genes following Sham treatment relative to Untreated Controls Fold Change Accession Name Symbol 3 h 12 h NM_013121 CD28 antigen Cd28 12.82 BG665360 FMS-like tyrosine kinase 1 Flt1 9.63 NM_012701 Adrenergic receptor, beta 1 Adrb1 8.24 0.46 U20796 Nuclear receptor subfamily 1, group D, member 2 Nr1d2 7.22 NM_017116 Calpain 2 Capn2 6.41 BE097282 Guanine nucleotide binding protein, alpha 12 Gna12 6.21 NM_053328 Basic helix-loop-helix domain containing, class B2 Bhlhb2 5.79 NM_053831 Guanylate cyclase 2f Gucy2f 5.71 AW251703 Tumor necrosis factor receptor superfamily, member 12a Tnfrsf12a 5.57 NM_021691 Twist homolog 2 (Drosophila) Twist2 5.42 NM_133550 Fc receptor, IgE, low affinity II, alpha polypeptide Fcer2a 4.93 NM_031120 Signal sequence receptor, gamma Ssr3 4.84 NM_053544 Secreted frizzled-related protein 4 Sfrp4 4.73 NM_053910 Pleckstrin homology, Sec7 and coiled/coil domains 1 Pscd1 4.69 BE113233 Suppressor of cytokine signaling 2 Socs2 4.68 NM_053949 Potassium voltage-gated channel, subfamily H (eag- Kcnh2 4.60 related), member 2 NM_017305 Glutamate cysteine ligase, modifier subunit Gclm 4.59 NM_017309 Protein phospatase 3, regulatory subunit B, alpha Ppp3r1 4.54 isoform,type 1 NM_012765 5-hydroxytryptamine (serotonin) receptor 2C Htr2c 4.46 NM_017218 V-erb-b2 erythroblastic leukemia viral oncogene homolog Erbb3 4.42 3 (avian) AW918369 Zinc finger protein 191 Zfp191 4.38 NM_031034 Guanine nucleotide binding protein, alpha 12 Gna12 4.38 NM_017020 Interleukin 6 receptor Il6r 4.37 AJ002942 -
Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in -
I FOUR JOINTED BOX ONE, a NOVEL PRO-ANGIOGENIC PROTEIN IN
FOUR JOINTED BOX ONE, A NOVEL PRO-ANGIOGENIC PROTEIN IN COLORECTAL CARCINOMA. BY Nicole Theresa Al-Greene Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY In Cell and Developmental Biology. December, 2013 Nashville Tennessee Approved: R. Daniel Beauchamp Susan Wente James Goldenring Albert Reynolds i DEDICATION To my parents, Karen and John, who have helped me in every way possible, every single day. ii ACKNOWLEDGMENTS. Funding for this work was supported by grants DK052334, CA069457, The GI Cancer SPORE, GM088822, the VICC, the Clinical and Translational Science Award (NCRR/NIH UL1RR024975), the DDRC (P30DK058404), and the Cooperative Human Tissue Network (UO1CA094664) and U01CA094664. I was lucky enough to be allowed to perform research as an undergraduate in the lab of Ken Belanger. I will be forever grateful for that opportunity that sparked my love of research. Equally important was my time as a technician in Len Zon’s lab where I confirmed the fact that I needed to go graduate school and earn my degree. During my time at Vanderbilt I have been helped by so many individuals, and the collaborative nature of everyone I have met with is truly an amazing aspect of the research community here. I am especially thankful for all the technical help and insightful conversations I have had with Natasha Deane, Anna Means, Claudia Andl, Tanner Freeman, Connie Weaver, Keeli Lewis, Jalal Hamaamen, Jenny Zi, John Neff, Christian Kis, Andries Zjistra, Trennis Palmer, Joseph Roland, and Lynn LaPierre. -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
Suppression of Rgsz1 Function Optimizes the Actions of Opioid
Suppression of RGSz1 function optimizes the actions PNAS PLUS of opioid analgesics by mechanisms that involve the Wnt/β-catenin pathway Sevasti Gasparia,b,c, Immanuel Purushothamana,b, Valeria Cogliania,b, Farhana Saklotha,b, Rachael L. Neved, David Howlande, Robert H. Ringf, Elliott M. Rossg,h, Li Shena,b, and Venetia Zacharioua,b,1 aFishberg Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029; bFriedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029; cDepartment of Basic Sciences, University of Crete Medical School, 71003 Heraklion, Greece; dGene Delivery Technology Core, Massachusetts General Hospital, MA 01239; eCure Huntington’s Disease Initiative (CHDI) Foundation, Princeton, NJ 08540; fDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029; gDepartment of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX 75390; and hGreen Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390 Edited by Solomon H. Snyder, Johns Hopkins University School of Medicine, Baltimore, MD, and approved January 5, 2018 (received for review June 23, 2017) Regulator of G protein signaling z1 (RGSz1), a member of the RGS studies have documented brain region-specific effects of other family of proteins, is present in several networks expressing mu RGS proteins (RGS9-2, RGS7, and RGS4) (29–33) on the opioid receptors (MOPRs). By using genetic mouse models for global functional responses of MOPRs, the role of RGSz1 in opioid or brain region-targeted manipulations of RGSz1 expression, we actions is not known. We hypothesized that the expression and demonstrated that the suppression of RGSz1 function increases the activity of RGSz1 are altered by chronic opioid use and that the analgesic efficacy of MOPR agonists in male and female mice and manipulation of RGSz1 expression will impact the development delays the development of morphine tolerance while decreasing the of tolerance to the drug and its analgesic and rewarding effects. -
Egfr Activates a Taz-Driven Oncogenic Program in Glioblastoma
EGFR ACTIVATES A TAZ-DRIVEN ONCOGENIC PROGRAM IN GLIOBLASTOMA by Minling Gao A thesis submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland March 2020 ©2020 Minling Gao All rights reserved Abstract Hyperactivated EGFR signaling is associated with about 45% of Glioblastoma (GBM), the most aggressive and lethal primary brain tumor in humans. However, the oncogenic transcriptional events driven by EGFR are still incompletely understood. We studied the role of the transcription factor TAZ to better understand master transcriptional regulators in mediating the EGFR signaling pathway in GBM. The transcriptional coactivator with PDZ- binding motif (TAZ) and its paralog gene, the Yes-associated protein (YAP) are two transcriptional co-activators that play important roles in multiple cancer types and are regulated in a context-dependent manner by various upstream signaling pathways, e.g. the Hippo, WNT and GPCR signaling. In GBM cells, TAZ functions as an oncogene that drives mesenchymal transition and radioresistance. This thesis intends to broaden our understanding of EGFR signaling and TAZ regulation in GBM. In patient-derived GBM cell models, EGF induced TAZ and its known gene targets through EGFR and downstream tyrosine kinases (ERK1/2 and STAT3). In GBM cells with EGFRvIII, an EGF-independent and constitutively active mutation, TAZ showed EGF- independent hyperactivation when compared to EGFRvIII-negative cells. These results revealed a novel EGFR-TAZ signaling axis in GBM cells. The second contribution of this thesis is that we performed next-generation sequencing to establish the first genome-wide map of EGF-induced TAZ target genes.