Plasma Membrane Protein Identifications from Human Bone Marrow Mesenchymal Stem Cells
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Adenylate Cyclase 3: a New Target for Anti‐Obesity Drug Development
obesity reviews doi: 10.1111/obr.12430 Obesity Pharmacotherapy Adenylate cyclase 3: a new target for anti-obesity drug development L. Wu,1 C. Shen,2 M. Seed Ahmed,3 C.-G. Östenson4 and H. F. Gu5,6 1Jiangsu Key Laboratory of Drug Screening, Summary China Pharmaceutical University, Nanjing Obesity has become epidemic worldwide, and abdominal obesity has a negative im- 210009, China, 2Department of Epidemiology, pact on health. Current treatment options on obesity, however, still remain limited. School of Public Health, Nanjing Medical It is then of importance to find a new target for anti-obesity drug development University, Nanjing 211166, China, 3Unit for based upon recent molecular studies in obesity. Adenylate cyclase 3 (ADCY3) is Medical Education, Centre for Learning and the third member of adenylyl cyclase family and catalyses the synthesis of cAMP Knowledge, Department of Learning, from ATP. Genetic studies with candidate gene and genome-wide association study Informatics, Management and Ethics, approaches have demonstrated that ADCY3 genetic polymorphisms are associated Karolinska Institutet, Stockholm 17177, with obesity in European and Chinese populations. Epigenetic studies have indi- Sweden, 4Rolf Luft Center for Diabetes cated that increased DNA methylation levels in the ADCY3 gene are involved in Research and Endocrinology, Department of the pathogenesis of obesity. Furthermore, biological analyses with animal models Molecular Medicine and Surgery, Karolinska have implicated that ADCY3 dysfunction resulted in increased body weight and Institutet, Karolinska University Hospital, Solna, fat mass, while reduction of body weight is partially explained by ADCY3 activa- Stockholm 17176, Sweden, 5Department of tion. In this review, we describe genomic and biological features of ADCY3, sum- Clinical Science, Intervention and marize genetic and epigenetic association studies of the ADCY3 gene with obesity Technologies, Karolinska Institutet, Karolinska and discuss dysfunction and activation of ADCY3. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 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/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.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 © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Supplemental Table S1
Entrez Gene Symbol Gene Name Affymetrix EST Glomchip SAGE Stanford Literature HPA confirmed Gene ID Profiling profiling Profiling Profiling array profiling confirmed 1 2 A2M alpha-2-macroglobulin 0 0 0 1 0 2 10347 ABCA7 ATP-binding cassette, sub-family A (ABC1), member 7 1 0 0 0 0 3 10350 ABCA9 ATP-binding cassette, sub-family A (ABC1), member 9 1 0 0 0 0 4 10057 ABCC5 ATP-binding cassette, sub-family C (CFTR/MRP), member 5 1 0 0 0 0 5 10060 ABCC9 ATP-binding cassette, sub-family C (CFTR/MRP), member 9 1 0 0 0 0 6 79575 ABHD8 abhydrolase domain containing 8 1 0 0 0 0 7 51225 ABI3 ABI gene family, member 3 1 0 1 0 0 8 29 ABR active BCR-related gene 1 0 0 0 0 9 25841 ABTB2 ankyrin repeat and BTB (POZ) domain containing 2 1 0 1 0 0 10 30 ACAA1 acetyl-Coenzyme A acyltransferase 1 (peroxisomal 3-oxoacyl-Coenzyme A thiol 0 1 0 0 0 11 43 ACHE acetylcholinesterase (Yt blood group) 1 0 0 0 0 12 58 ACTA1 actin, alpha 1, skeletal muscle 0 1 0 0 0 13 60 ACTB actin, beta 01000 1 14 71 ACTG1 actin, gamma 1 0 1 0 0 0 15 81 ACTN4 actinin, alpha 4 0 0 1 1 1 10700177 16 10096 ACTR3 ARP3 actin-related protein 3 homolog (yeast) 0 1 0 0 0 17 94 ACVRL1 activin A receptor type II-like 1 1 0 1 0 0 18 8038 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 1 0 0 0 0 19 8751 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 1 0 0 0 0 20 8728 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 1 0 0 0 0 21 81792 ADAMTS12 ADAM metallopeptidase with thrombospondin type 1 motif, 12 1 0 0 0 0 22 9507 ADAMTS4 ADAM metallopeptidase with thrombospondin type 1 -
Plasma Membrane Ca2+–Atpase in Rat and Human Odontoblasts Mediates Dentin Mineralization
biomolecules Article Plasma Membrane Ca2+–ATPase in Rat and Human Odontoblasts Mediates Dentin Mineralization Maki Kimura 1,†, Hiroyuki Mochizuki 1,†, Ryouichi Satou 2, Miyu Iwasaki 2, Eitoyo Kokubu 3, Kyosuke Kono 1, Sachie Nomura 1, Takeshi Sakurai 1, Hidetaka Kuroda 1,4,† and Yoshiyuki Shibukawa 1,*,† 1 Department of Physiology, Tokyo Dental College, 2-9-18, Kanda-Misaki-cho, Chiyoda-ku, Tokyo 101-0061, Japan; [email protected] (M.K.); [email protected] (H.M.); [email protected] (K.K.); [email protected] (S.N.); [email protected] (T.S.); [email protected] (H.K.) 2 Department of Epidemiology and Public Health, Tokyo Dental College, Chiyodaku, Tokyo 101-0061, Japan; [email protected] (R.S.); [email protected] (M.I.) 3 Department of Microbiology, Tokyo Dental College, Chiyodaku, Tokyo 101-0061, Japan; [email protected] 4 Department of Dental Anesthesiology, Kanagawa Dental University, 1-23, Ogawacho, Kanagawa, Yokosuka-shi 238-8570, Japan * Correspondence: [email protected] † These authors contributed equally to this study. Abstract: Intracellular Ca2+ signaling engendered by Ca2+ influx and mobilization in odontoblasts is critical for dentinogenesis induced by multiple stimuli at the dentin surface. Increased Ca2+ is exported by the Na+–Ca2+ exchanger (NCX) and plasma membrane Ca2+–ATPase (PMCA) to Citation: Kimura, M.; Mochizuki, H.; maintain Ca2+ homeostasis. We previously demonstrated a functional coupling between Ca2+ Satou, R.; Iwasaki, M.; Kokubu, E.; extrusion by NCX and its influx through transient receptor potential channels in odontoblasts. Kono, K.; Nomura, S.; Sakurai, T.; Although the presence of PMCA in odontoblasts has been previously described, steady-state levels of Kuroda, H.; Shibukawa, Y. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
3 Cleavage Products of Notch 2/Site and Myelopoiesis by Dysregulating
ADAM10 Overexpression Shifts Lympho- and Myelopoiesis by Dysregulating Site 2/Site 3 Cleavage Products of Notch This information is current as David R. Gibb, Sheinei J. Saleem, Dae-Joong Kang, Mark of October 4, 2021. A. Subler and Daniel H. Conrad J Immunol 2011; 186:4244-4252; Prepublished online 2 March 2011; doi: 10.4049/jimmunol.1003318 http://www.jimmunol.org/content/186/7/4244 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2011/03/02/jimmunol.100331 Material 8.DC1 http://www.jimmunol.org/ References This article cites 45 articles, 16 of which you can access for free at: http://www.jimmunol.org/content/186/7/4244.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on October 4, 2021 • 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 © 2011 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology ADAM10 Overexpression Shifts Lympho- and Myelopoiesis by Dysregulating Site 2/Site 3 Cleavage Products of Notch David R. -
ADAM10 Site-Dependent Biology: Keeping Control of a Pervasive Protease
International Journal of Molecular Sciences Review ADAM10 Site-Dependent Biology: Keeping Control of a Pervasive Protease Francesca Tosetti 1,* , Massimo Alessio 2, Alessandro Poggi 1,† and Maria Raffaella Zocchi 3,† 1 Molecular Oncology and Angiogenesis Unit, IRCCS Ospedale Policlinico S. Martino Largo R. Benzi 10, 16132 Genoa, Italy; [email protected] 2 Proteome Biochemistry, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; [email protected] 3 Division of Immunology, Transplants and Infectious Diseases, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy; [email protected] * Correspondence: [email protected] † These authors contributed equally to this work as last author. Abstract: Enzymes, once considered static molecular machines acting in defined spatial patterns and sites of action, move to different intra- and extracellular locations, changing their function. This topological regulation revealed a close cross-talk between proteases and signaling events involving post-translational modifications, membrane tyrosine kinase receptors and G-protein coupled recep- tors, motor proteins shuttling cargos in intracellular vesicles, and small-molecule messengers. Here, we highlight recent advances in our knowledge of regulation and function of A Disintegrin And Metalloproteinase (ADAM) endopeptidases at specific subcellular sites, or in multimolecular com- plexes, with a special focus on ADAM10, and tumor necrosis factor-α convertase (TACE/ADAM17), since these two enzymes belong to the same family, share selected substrates and bioactivity. We will discuss some examples of ADAM10 activity modulated by changing partners and subcellular compartmentalization, with the underlying hypothesis that restraining protease activity by spatial Citation: Tosetti, F.; Alessio, M.; segregation is a complex and powerful regulatory tool. -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells. -
Cell-Autonomous FLT3L Shedding Via ADAM10 Mediates Conventional Dendritic Cell Development in Mouse Spleen
Cell-autonomous FLT3L shedding via ADAM10 mediates conventional dendritic cell development in mouse spleen Kohei Fujitaa,b,1, Svetoslav Chakarovc,1, Tetsuro Kobayashid, Keiko Sakamotod, Benjamin Voisind, Kaibo Duanc, Taneaki Nakagawaa, Keisuke Horiuchie, Masayuki Amagaib, Florent Ginhouxc, and Keisuke Nagaod,2 aDepartment of Dentistry and Oral Surgery, Keio University School of Medicine, Tokyo 160-8582, Japan; bDepartment of Dermatology, Keio University School of Medicine, Tokyo 160-8582, Japan; cSingapore Immunology Network, Agency for Science, Technology and Research, Biopolis, 138648 Singapore; dDermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892; and eDepartment of Orthopedic Surgery, National Defense Medical College, Tokorozawa 359-8513, Japan Edited by Kenneth M. Murphy, Washington University School of Medicine, St. Louis, MO, and approved June 10, 2019 (received for review November 4, 2018) Conventional dendritic cells (cDCs) derive from bone marrow (BM) intocDC1sorcDC2stakesplaceintheBM(3),andthese precursors that undergo cascades of developmental programs to pre-cDC1s and pre-cDC2s ultimately differentiate into cDC1s terminally differentiate in peripheral tissues. Pre-cDC1s and pre- and cDC2s after migrating to nonlymphoid and lymphoid tissues. + + cDC2s commit in the BM to each differentiate into CD8α /CD103 cDCs are short-lived, and their homeostatic maintenance relies + cDC1s and CD11b cDC2s, respectively. Although both cDCs rely on on constant replenishment from the BM precursors (5). The cy- the cytokine FLT3L during development, mechanisms that ensure tokine Fms-related tyrosine kinase 3 ligand (FLT3L) (12), by cDC accessibility to FLT3L have yet to be elucidated. Here, we gen- signaling through its receptor FLT3 expressed on DC precursors, erated mice that lacked a disintegrin and metalloproteinase (ADAM) is essential during the development of DCs (7, 13). -
Hras Intracellular Trafficking and Signal Transduction Jodi Ho-Jung Mckay Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 2007 HRas intracellular trafficking and signal transduction Jodi Ho-Jung McKay Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Biological Phenomena, Cell Phenomena, and Immunity Commons, Cancer Biology Commons, Cell Biology Commons, Genetics and Genomics Commons, and the Medical Cell Biology Commons Recommended Citation McKay, Jodi Ho-Jung, "HRas intracellular trafficking and signal transduction" (2007). Retrospective Theses and Dissertations. 13946. https://lib.dr.iastate.edu/rtd/13946 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. HRas intracellular trafficking and signal transduction by Jodi Ho-Jung McKay A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Genetics Program of Study Committee: Janice E. Buss, Co-major Professor Linda Ambrosio, Co-major Professor Diane Bassham Drena Dobbs Ted Huiatt Iowa State University Ames, Iowa 2007 Copyright © Jodi Ho-Jung McKay, 2007. All rights reserved. UMI Number: 3274881 Copyright 2007 by McKay, Jodi Ho-Jung All rights reserved. UMI Microform 3274881 Copyright 2008 by ProQuest Information and Learning Company. All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. ProQuest Information and Learning Company 300 North Zeeb Road P.O. -
SUPPLEMENTARY TABLES and FIGURE LEGENDS Supplementary
SUPPLEMENTARY TABLES AND FIGURE LEGENDS Supplementary Figure 1. Quantitation of MYC levels in vivo and in vitro. a) MYC levels in cell lines 6814, 6816, 5720, 966, and 6780 (corresponding to first half of Figure 1a in main text). MYC is normalized to tubulin. b) MYC quantitations (normalized to tubulin) for cell lines Daudi, Raji, Jujoye, KRA, KRB, GM, and 6780 corresponding to second half of Figure 1a. c) In vivo MYC quantitations, for mice treated with 0-0.5 ug/ml doxycycline in their drinking water. MYC is normalized to tubulin. d) Quantitation of changing MYC levels during in vitro titration, normalized to tubulin. e) Levels of Odc (normalized to tubulin) follow MYC levels in titration series. Supplementary Figure 2. Evaluation of doxycycline concentration in the plasma of mice treated with doxycycline in their drinking water. Luciferase expressing CHO cells (Tet- off) (Clonethech Inc) that is responsive to doxycycline by turning off luciferase expression was treated with different concentrations of doxycycline in culture. A standard curve (blue line) correlating luciferase activity (y-axis) with treatment of doxycycline (x- axis) was generated for the CHO cell in culture. Plasma from mice treated with different concentrations of doxycycline in their drinking water was separated and added to the media of the CHO cells. Luciferase activity was measured and plotted on the standard curve (see legend box). The actual concentration of doxycycline in the plasma was extrapolated for the luciferase activity measured. The doxycycline concentration 0.2 ng/ml measured in the plasma of mice correlates with 0.05 μg/ml doxycycline treatment in the drinking water of mice, the in vivo threshold for tumor regression. -
A SARS-Cov-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing
A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing Supplementary Information Supplementary Discussion All SARS-CoV-2 protein and gene functions described in the subnetwork appendices, including the text below and the text found in the individual bait subnetworks, are based on the functions of homologous genes from other coronavirus species. These are mainly from SARS-CoV and MERS-CoV, but when available and applicable other related viruses were used to provide insight into function. The SARS-CoV-2 proteins and genes listed here were designed and researched based on the gene alignments provided by Chan et. al. 1 2020 . Though we are reasonably sure the genes here are well annotated, we want to note that not every protein has been verified to be expressed or functional during SARS-CoV-2 infections, either in vitro or in vivo. In an effort to be as comprehensive and transparent as possible, we are reporting the sub-networks of these functionally unverified proteins along with the other SARS-CoV-2 proteins. In such cases, we have made notes within the text below, and on the corresponding subnetwork figures, and would advise that more caution be taken when examining these proteins and their molecular interactions. Due to practical limits in our sample preparation and data collection process, we were unable to generate data for proteins corresponding to Nsp3, Orf7b, and Nsp16. Therefore these three genes have been left out of the following literature review of the SARS-CoV-2 proteins and the protein-protein interactions (PPIs) identified in this study.