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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. -
Supplementary Information For
1 Supplementary Information for 2 Molecular map of GNAO1-related disease phenotypes and reactions to therapy 3 Ivana Mihalek, Jeff L. Waugh, Meredith Park, Saima Kayani, Annapurna Poduri, Olaf Bodamer 4 Ivana Mihalek, Olaf Bodamer 5 E-mail: [email protected], [email protected] 6 This PDF file includes: 7 Supplementary text 8 Figs. S1 to S9 9 Tables S1 to S5 10 Legend for Movie S1 11 Legend for Dataset S1 12 SI References 13 Other supplementary materials for this manuscript include the following: 14 Movie S1 15 Dataset S1 Ivana Mihalek, Jeff L. Waugh, Meredith Park, Saima Kayani, Annapurna Poduri, Olaf Bodamer 1 of 18 16 Supporting Information Text 17 Building the target-response profiles 18 To construct the target-response profiles used in Fig. 1 in the main text, we collected the information about the targets of 19 drugs reported as therapy for GNAO1-related symptoms. We collected both the direction of action (up- or down-regulation), 20 and its micromolar activity for each drug-target pair, keeping in mind that drugs typically have multiple targets. The sources 21 were DrugBank (1), BindingDB (2), GuideToPharm (3), PDSP (4), and PubChem (5), as well as manual literature search in a 22 handful of cases. This information is included on Dataset S1. The full collection can be found and downloaded as an SQLite 23 database from the accompanying CodeOcean capsule (codeocean.com/capsule/8747824). 24 Giving the name td to the combined label of target + drug activity direction, for example GABR ↑ for upregulated GABA-A 25 receptor (Human Genome Nomenclature Committee symbol GABR), we assign to it a weight −log (activity) + 6, if the activity is < 106µM w(td) = 10 0 otherwise. -
The Role of P19 C-H-Ras Protein in Metastasis and Proliferative Pathways Roseli Marlen García Cruz
The role of p19 C-H-Ras protein in metastasis and proliferative pathways Roseli Marlen García Cruz 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 disposició 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. -
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 -
The DNA Sequence and Comparative Analysis of Human Chromosome 20
articles The DNA sequence and comparative analysis of human chromosome 20 P. Deloukas, L. H. Matthews, J. Ashurst, J. Burton, J. G. R. Gilbert, M. Jones, G. Stavrides, J. P. Almeida, A. K. Babbage, C. L. Bagguley, J. Bailey, K. F. Barlow, K. N. Bates, L. M. Beard, D. M. Beare, O. P. Beasley, C. P. Bird, S. E. Blakey, A. M. Bridgeman, A. J. Brown, D. Buck, W. Burrill, A. P. Butler, C. Carder, N. P. Carter, J. C. Chapman, M. Clamp, G. Clark, L. N. Clark, S. Y. Clark, C. M. Clee, S. Clegg, V. E. Cobley, R. E. Collier, R. Connor, N. R. Corby, A. Coulson, G. J. Coville, R. Deadman, P. Dhami, M. Dunn, A. G. Ellington, J. A. Frankland, A. Fraser, L. French, P. Garner, D. V. Grafham, C. Grif®ths, M. N. D. Grif®ths, R. Gwilliam, R. E. Hall, S. Hammond, J. L. Harley, P. D. Heath, S. Ho, J. L. Holden, P. J. Howden, E. Huckle, A. R. Hunt, S. E. Hunt, K. Jekosch, C. M. Johnson, D. Johnson, M. P. Kay, A. M. Kimberley, A. King, A. Knights, G. K. Laird, S. Lawlor, M. H. Lehvaslaiho, M. Leversha, C. Lloyd, D. M. Lloyd, J. D. Lovell, V. L. Marsh, S. L. Martin, L. J. McConnachie, K. McLay, A. A. McMurray, S. Milne, D. Mistry, M. J. F. Moore, J. C. Mullikin, T. Nickerson, K. Oliver, A. Parker, R. Patel, T. A. V. Pearce, A. I. Peck, B. J. C. T. Phillimore, S. R. Prathalingam, R. W. Plumb, H. Ramsay, C. M. -
Systematic Elucidation of Neuron-Astrocyte Interaction in Models of Amyotrophic Lateral Sclerosis Using Multi-Modal Integrated Bioinformatics Workflow
ARTICLE https://doi.org/10.1038/s41467-020-19177-y OPEN Systematic elucidation of neuron-astrocyte interaction in models of amyotrophic lateral sclerosis using multi-modal integrated bioinformatics workflow Vartika Mishra et al.# 1234567890():,; Cell-to-cell communications are critical determinants of pathophysiological phenotypes, but methodologies for their systematic elucidation are lacking. Herein, we propose an approach for the Systematic Elucidation and Assessment of Regulatory Cell-to-cell Interaction Net- works (SEARCHIN) to identify ligand-mediated interactions between distinct cellular com- partments. To test this approach, we selected a model of amyotrophic lateral sclerosis (ALS), in which astrocytes expressing mutant superoxide dismutase-1 (mutSOD1) kill wild-type motor neurons (MNs) by an unknown mechanism. Our integrative analysis that combines proteomics and regulatory network analysis infers the interaction between astrocyte-released amyloid precursor protein (APP) and death receptor-6 (DR6) on MNs as the top predicted ligand-receptor pair. The inferred deleterious role of APP and DR6 is confirmed in vitro in models of ALS. Moreover, the DR6 knockdown in MNs of transgenic mutSOD1 mice attenuates the ALS-like phenotype. Our results support the usefulness of integrative, systems biology approach to gain insights into complex neurobiological disease processes as in ALS and posit that the proposed methodology is not restricted to this biological context and could be used in a variety of other non-cell-autonomous communication -
Genotype–Phenotype Correlations to Aid in the Prognosis Of
European Journal of Human Genetics (2007) 15, 446–452 & 2007 Nature Publishing Group All rights reserved 1018-4813/07 $30.00 www.nature.com/ejhg ARTICLE Genotype–phenotype correlations to aid in the prognosis of individuals with uncommon 20q13.33 subtelomere deletions: a collaborative study on behalf of the ‘association des Cytoge´ne´ticiens de langue Franc¸aise’ Myle`ne Be´ri-Deixheimer1, Marie-Jose´ Gregoire1, Annick Toutain2, Kare`ne Brochet1, Sylvain Briault2, Jean-Luc Schaff3, Bruno Leheup4 and Philippe Jonveaux*,1 1Laboratoire de Ge´ne´tique, EA 4002, CHU, Nancy-University, France; 2Service de Ge´ne´tique, Hoˆpital Bretonneau, Tours, France; 3Service de neurologie, CHU, Nancy-Univeristy, France; 4Service de me´decine infantile et ge´ne´tique clinique, CHU, Nancy-Univeristy, France The identification of subtelomeric rearrangements as a cause of mental retardation has made a considerable contribution to diagnosing patients with mental retardation. It is remarkable that for certain subtelomeric regions, deletions have hardly ever been reported so far. All the laboratories from the ‘Association des Cytoge´ne´ticiens de Langue Franc¸aise’ were surveyed for cases where an abnormality of the subtelomere FISH analysis had been ascertained. Among 1511 cases referred owing to unexplained mental retardation, 115 (7.6%) patients showed a clinically significant subtelomeric abnormality. We report the clinical features and the molecular cytogenetic delineation of isolated de novo deletions on 20q13.33 in two cases. Detailed mapping was performed by micro-array CGH in one patient and confirmed by FISH in the two patients. We compare our data with the only three patients reported in the literature. -
Development of an Autophagy-Related Gene Expression Signature For
Hu et al. J Transl Med (2020) 18:160 https://doi.org/10.1186/s12967-020-02323-x Journal of Translational Medicine RESEARCH Open Access Development of an autophagy-related gene expression signature for prognosis prediction in prostate cancer patients Daixing Hu1, Li Jiang1, Shengjun Luo1, Xin Zhao1, Hao Hu2, Guozhi Zhao1 and Wei Tang1* Abstract Background: Prostate cancer (PCa) is one of the most prevalent cancers that occur in men worldwide. Autophagy- related genes (ARGs) may play an essential role in multiple biological processes of prostate cancer. However, ARGs expression signature has rarely been used to investigate the association between autophagy and prognosis in PCa. This study aimed to identify and assess prognostic ARGs signature to predict overall survival (OS) and disease-free survival (DFS) in PCa patients. Methods: First, a total of 234 autophagy-related genes were obtained from The Human Autophagy Database. Then, diferentially expressed ARGs were identifed in prostate cancer patients based on The Cancer Genome Atlas (TCGA) database. The univariate and multivariate Cox regression analysis was performed to screen hub prognostic ARGs for overall survival and disease-free survival, and the prognostic model was constructed. Finally, the correlation between the prognostic model and clinicopathological parameters was further analyzed, including age, T status, N status, and Gleason score. Results: The OS-related prognostic model was constructed based on the fve ARGs (FAM215A, FDD, MYC, RHEB, and ATG16L1) and signifcantly stratifed prostate cancer patients into high- and low-risk groups in terms of OS (HR 6.391, 95% CI 1.581– 25.840, P < 0.001). The area under the receiver operating characteristic curve (AUC) of the =prediction model= was 0.84. -
Proteins in Receptor-Mediated Cell Signaling Melinda Dale Willard A
Multiple Domain ‘Nexus’ Proteins in Receptor-Mediated Cell Signaling Melinda Dale Willard A dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Pharmacology. Chapel Hill 2006 Approved by: Advisor: Professor David P. Siderovski Reader: Professor T. Kendall Harden Reader: Professor Gary L. Johnson Reader: Professor Michael D. Schaller Reader: Professor John E. Sondek ABSTRACT Melinda Dale Willard Multiple Domain ‘Nexus’ Proteins in Receptor-Mediated Cell Signaling (Under the direction of Dr. David P. Siderovski) Signal transduction is the fundamental biological process of converting changes in extracellular information into changes in intracellular functions. It controls a wide range of cellular activities, from the release of neurotransmitters and hormones, to integrated cellular decisions of proliferation, differentiation, survival, or death. The vast majority of extracellular signaling molecules exert their cellular effects through activation of G protein-coupled receptors (GPCRs); however, the G- protein coupled paradigm is by no means the exclusive mechanism of membrane receptor signal transduction. Polypeptide ligands such as nerve growth factor act exclusively on receptor tyrosine kinase receptors (RTKs) to promote signaling. GPCRs and RTKs both form an interface between extracellular and intracellular physiology by converting hormonal signals into changes in intracellular metabolism and ultimately cell phenotype. Initially, it was thought that GPCRs and RTKs represented linear and distinct signaling pathways that converge on downstream targets to regulate cell division and gene transcription. However, activation of second messenger generating systems do not fully explain the range of effects of GPCR or RTK activation on biological processes such as differentiation and cell growth. -
Supplementary Data
Supplementary Figure 1 Supplementary Figure 2 CCR-10-3244.R1 Supplementary Figure Legends Supplementary Figure 1. B-Myb is overexpressed in primary AML blasts and B-CLL cells. Baseline B-Myb mRNA levels were determined by quantitative RT-PCR, after normalization to the level of housekeeping gene, in primary B-CLL (n=10) and AML (n=5) patient samples, and in normal CD19+ (n=5) and CD34+ (n=4) cell preparations. Each sample was determined in triplicate. Horizontal bars are median, upper and lower edges of box are 75th and 25th percentiles, lines extending from box are 10th and 90th percentiles. Supplementary Figure 2. Cytotoxicity by Nutlin-3 and Chlorambucil used alone or in combination in leukemic cells. The p53wild-type EHEB and SKW6.4 cells lines, and the p53mutated BJAB cell line were exposed to Nutlin-3 or Chlorambucil used either alone or in combination. (Nutl.+Chlor.). In A, upon treatment with Nutlin-3 or Chlorambucil, used either alone (both at 10 μM) or in combination (Nutl.+Chlor.), induction of apoptosis was quantitatively evaluated by Annexin V/PI staining, while E2F1 and pRb protein levels were analyzed by Western blot. Tubulin staining is shown as loading control. The average combination index (CI) values (analyzed by the method of Chou and Talalay) for effects of Chlorambucil+Nutlin-3 on cell viability are shown. ED indicates effect dose. In B, levels of B-Myb and E2F1 mRNA were analyzed by quantitative RT- PCR. Results are expressed as fold of B-Myb and E2F1 modulation in cells treated for 24 hours as indicated, with respect to the control untreated cultures set to 1 (hatched line). -
Evolution of Vertebrate Opioid Receptors
Evolution of vertebrate opioid receptors Susanne Dreborg, Go¨ rel Sundstro¨ m, Tomas A. Larsson, and Dan Larhammar* Department of Neuroscience, Uppsala University, Box 593, SE-75124 Uppsala, Sweden Edited by Tomas Ho¨kfelt, Karolinska Institutet, Stockholm, Sweden, and approved August 15, 2008 (received for review June 9, 2008) The opioid peptides and receptors have prominent roles in pain Many vertebrate gene families have been found to have transmission and reward mechanisms in mammals. The evolution expanded in the early stages of vertebrate evolution, before the of the opioid receptors has so far been little studied, with only a radiation of jawed vertebrates. However, the high degree of few reports on species other than tetrapods. We have investigated sequence divergence over such large evolutionary distances species representing a broader range of vertebrates and found that often obscures orthology–paralogy relationships. Investigation the four opioid receptor types (delta, kappa, mu, and NOP) are of conserved synteny may facilitate identification of orthologs present in most of the species. The gene relationships were and gives important clues to the mechanisms by which the genes deduced by using both phylogenetic analyses and chromosomal were duplicated. We used this approach to investigate the location relative to 20 neighboring gene families in databases of evolution of a few other gene families, namely the neuropeptide assembled genomes. The combined results show that the verte- Y (NPY) family of peptides (27) and the large family of NPY brate opioid receptor gene family arose by quadruplication of a receptors (28). These families were found to have expanded as large chromosomal block containing at least 14 other gene fami- a result of extensive chromosome duplications, most likely lies. -
Program in Human Neutrophils Fails To
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 is online at: average * The Journal of Immunology Anaplasma phagocytophilum , 20 of which you can access for free at: 2005; 174:6364-6372; ; from submission to initial decision 4 weeks from acceptance to publication J Immunol doi: 10.4049/jimmunol.174.10.6364 http://www.jimmunol.org/content/174/10/6364 Insights into Pathogen Immune Evasion Mechanisms: Fails to Induce an Apoptosis Differentiation Program in Human Neutrophils Dori L. Borjesson, Scott D. Kobayashi, Adeline R. Whitney, Jovanka M. Voyich, Cynthia M. Argue and Frank R. DeLeo cites 28 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2005/05/03/174.10.6364.DC1 This article http://www.jimmunol.org/content/174/10/6364.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* • Why • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2005 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Insights into Pathogen Immune Evasion Mechanisms: Anaplasma phagocytophilum Fails to Induce an Apoptosis Differentiation Program in Human Neutrophils1 Dori L.