Bcl-2–Associated Athanogene 3 Protects the Heart from Ischemia/Reperfusion Injury
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Atlas Antibodies in Breast Cancer Research Table of Contents
ATLAS ANTIBODIES IN BREAST CANCER RESEARCH TABLE OF CONTENTS The Human Protein Atlas, Triple A Polyclonals and PrecisA Monoclonals (4-5) Clinical markers (6) Antibodies used in breast cancer research (7-13) Antibodies against MammaPrint and other gene expression test proteins (14-16) Antibodies identified in the Human Protein Atlas (17-14) Finding cancer biomarkers, as exemplified by RBM3, granulin and anillin (19-22) Co-Development program (23) Contact (24) Page 2 (24) Page 3 (24) The Human Protein Atlas: a map of the Human Proteome The Human Protein Atlas (HPA) is a The Human Protein Atlas consortium cell types. All the IHC images for Swedish-based program initiated in is mainly funded by the Knut and Alice the normal tissue have undergone 2003 with the aim to map all the human Wallenberg Foundation. pathology-based annotation of proteins in cells, tissues and organs expression levels. using integration of various omics The Human Protein Atlas consists of technologies, including antibody- six separate parts, each focusing on References based imaging, mass spectrometry- a particular aspect of the genome- 1. Sjöstedt E, et al. (2020) An atlas of the based proteomics, transcriptomics wide analysis of the human proteins: protein-coding genes in the human, pig, and and systems biology. mouse brain. Science 367(6482) 2. Thul PJ, et al. (2017) A subcellular map of • The Tissue Atlas shows the the human proteome. Science. 356(6340): All the data in the knowledge resource distribution of proteins across all eaal3321 is open access to allow scientists both major tissues and organs in the 3. -
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 -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Ikkγ Protein Is a Target of BAG3 Regulatory Activity in Human Tumor Growth
IKKγ protein is a target of BAG3 regulatory activity in human tumor growth Massimo Ammirantea,b,1, Alessandra Rosatib,c,1, Claudio Arrac,d, Anna Basileb,c, Antonia Falcob,c, Michela Festab,c, Maria Pascaleb,c, Morena d’Aveniab,c, Liberato Marzullob,c, Maria Antonietta Belisariob, Margot De Marcob,c, Antonio Barbierid, Aldo Giudiced, Gennaro Chiappettae, Emilia Vuttarielloe, Mario Monacoe, Patrizia Bonellid, Gaetano Salvatoref, Maria Di Benedettof, Satish L. Deshmaneg, Kamel Khalilig, Maria Caterina Turcob,c,2, and Arturo Leoneb aLaboratory of Gene Regulation and Signal Transduction, Department of Pharmacology and Cancer Center, School of Medicine, University of California, San Diego, La Jolla, CA 92093-0723; bDepartment of Pharmaceutical Sciences (DiFarma), University of Salerno, 84084 Fisciano, Italy; cBioUniverSA S.R.L., 84084 Fisciano, Italy; dAnimal Facility and eFunctional Genomic Unit National Cancer Institute, “Tumor Institute Fond. Pascale,” 80131 Naples, Italy; fPathological Anatomy, Federico II University, 80131 Naples, Italy; and gCenter For Neurovirology, Department of Neuroscience, Temple University, Philadelphia PA 19122 Edited* by Michael Karin, School of Medicine, University of California, La Jolla, CA, and approved March 17, 2010 (received for review July 10, 2009) BAG3, a member of the BAG family of heat shock protein (HSP) 70 leukemia results in a dramatic increase of basal as well as drug- cochaperones, is expressed in response to stressful stimuli in a number induced apoptosis (17, 18). Furthermore, BAG3 is overexpressed in of normal cell types and constitutively in a variety of tumors, including thyroid carcinomas, where higher levels of expression are reached in pancreas carcinomas, lymphocytic and myeloblastic leukemias, and anaplastic tumors compared with well-differentiated forms. -
BAG3 and SYNPO (Synaptopodin) Facilitate Phospho-MAPT/Tau Degradation Via Autophagy In
ManuscriptbioRxiv - with preprint full author doi: https://doi.org/10.1101/518597 details ; this version posted January 11, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. BAG3 and SYNPO (synaptopodin) facilitate phospho-MAPT/Tau degradation via autophagy in neuronal processes Changyi Ji1, #, Maoping Tang1, #, Claudia Zeidler2, Jörg Höhfeld2 and Gail VW Johnson1, * 1 Department of Anesthesiology, University of Rochester, 601 Elmwood Ave, Box 604, Rochester, NY 14642, USA; 2 Institute for Cell Biology, University of Bonn, Ulrich-Haberland- Str. 61a, D-53121 Bonn, Germany # Contributed equally to this work *Corresponding Author: Gail V.W. Johnson: [email protected] Voice: +1-585-276-3740; ORCID: 0000-0003-3464-0404 Emails: Jörg Höhfeld – [email protected] Changyi Ji – [email protected] Maoping Tang – [email protected] Claudia Zeidler – [email protected] Key words: autophagosome, postsynaptic density, PPxY domain, SQSTM1/p62, synapse, WW domain Disclosure of Interest: The authors report no conflict of interest. Funding: This work was supported by NIH grant NS098769 to G.V.W.J. and DFG grant HO 1518/8-2 to J.H. 1 bioRxiv preprint doi: https://doi.org/10.1101/518597; this version posted January 11, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. -
Geneseq®: Cardio
LabCorp GeneSeq®: Cardio Helping you provide better patient care Testing for more than 100 genetic causes of familial cardiac disease. Treatment That May Help Clinical Utility Familial cardiac diseases are associated with up to 80% • Establish/confirm a diagnosis of familial cardiac disease. of cases of sudden cardiac death in young patients.1 • Identify the need for regular cardiac screening, lifestyle Identification of individuals with pathogenic mutations in changes, or pharmacological or surgical intervention to genes associated with cardiac disease may allow timely prevent the progression of cardiac disease and secondary initiation of screening and treatment that may help prevent complications. myocardial infarction, stroke, and sudden cardiac death. • Identify first-degree relatives of the proband who have inherited a disease-causing genetic variant and may be GeneSeq: Cardio at risk for myocardial infarction, stroke, or sudden cardiac death. can be a useful prognostic tool in the presence of a positive • Facilitate appropriate genetic counseling for probands family history and symptoms of cardiomyopathy, arrhythmia, and their first-degree relatives. aortopathy, Noonan syndrome, RASopathies, congenital heart disease, early-onset coronary artery disease, or familial hypercholesterolemia. Sample Requirements • 10 mL whole blood or 30 mL if ordering multiple tests. Six indications for testing, available separately or in combination Test No. Test Name Genes Included In the Profile 451422 GeneSeq®: Cardio - Familial Cardiomyopathy Profile -
A Genomic Approach to Delineating the Occurrence of Scoliosis in Arthrogryposis Multiplex Congenita
G C A T T A C G G C A T genes Article A Genomic Approach to Delineating the Occurrence of Scoliosis in Arthrogryposis Multiplex Congenita Xenia Latypova 1, Stefan Giovanni Creadore 2, Noémi Dahan-Oliel 3,4, Anxhela Gjyshi Gustafson 2, Steven Wei-Hung Hwang 5, Tanya Bedard 6, Kamran Shazand 2, Harold J. P. van Bosse 5 , Philip F. Giampietro 7,* and Klaus Dieterich 8,* 1 Grenoble Institut Neurosciences, Université Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, 38000 Grenoble, France; [email protected] 2 Shriners Hospitals for Children Headquarters, Tampa, FL 33607, USA; [email protected] (S.G.C.); [email protected] (A.G.G.); [email protected] (K.S.) 3 Shriners Hospitals for Children, Montreal, QC H4A 0A9, Canada; [email protected] 4 School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC H3G 2M1, Canada 5 Shriners Hospitals for Children, Philadelphia, PA 19140, USA; [email protected] (S.W.-H.H.); [email protected] (H.J.P.v.B.) 6 Alberta Congenital Anomalies Surveillance System, Alberta Health Services, Edmonton, AB T5J 3E4, Canada; [email protected] 7 Department of Pediatrics, University of Illinois-Chicago, Chicago, IL 60607, USA 8 Institut of Advanced Biosciences, Université Grenoble Alpes, Inserm, U1209, CHU Grenoble Alpes, 38000 Grenoble, France * Correspondence: [email protected] (P.F.G.); [email protected] (K.D.) Citation: Latypova, X.; Creadore, S.G.; Dahan-Oliel, N.; Gustafson, Abstract: Arthrogryposis multiplex congenita (AMC) describes a group of conditions characterized A.G.; Wei-Hung Hwang, S.; Bedard, by the presence of non-progressive congenital contractures in multiple body areas. -
Phosphotyrosine Profiling of Curcumin-Induced Signaling
Sathe et al. Clin Proteom (2016) 13:13 DOI 10.1186/s12014-016-9114-0 Clinical Proteomics RESEARCH Open Access Phosphotyrosine profiling of curcumin‑induced signaling Gajanan Sathe1,2†, Sneha M. Pinto1,3†, Nazia Syed1,4, Vishalakshi Nanjappa1,5, Hitendra S. Solanki1,6, Santosh Renuse1,5, Sandip Chavan1,2, Aafaque Ahmad Khan1,6, Arun H. Patil1,6, Raja Sekhar Nirujogi1,7, Bipin Nair5, Premendu Prakash Mathur6, T. S. Keshava Prasad1,3,8, Harsha Gowda1,3* and Aditi Chatterjee1,3* Abstract Background: Curcumin, derived from the rhizome Curcuma longa, is a natural anti-cancer agent and has been shown to inhibit proliferation and survival of tumor cells. Although the anti-cancer effects of curcumin are well estab- lished, detailed understanding of the signaling pathways altered by curcumin is still lacking. In this study, we carried out SILAC-based quantitative proteomic analysis of a HNSCC cell line (CAL 27) to investigate tyrosine signaling in response to curcumin. Results: Using high resolution Orbitrap Fusion Tribrid Fourier transform mass spectrometer, we identified 627 phos- photyrosine sites mapping to 359 proteins. We observed alterations in the level of phosphorylation of 304 sites cor- responding to 197 proteins upon curcumin treatment. We report here for the first time, curcumin-induced alterations in the phosphorylation of several kinases including TNK2, FRK, AXL, MAPK12 and phosphatases such as PTPN6, PTPRK, and INPPL1 among others. Pathway analysis revealed that the proteins differentially phosphorylated in response to curcumin are known to be involved in focal adhesion kinase signaling and actin cytoskeleton reorganization. Conclusions: The study indicates that curcumin may regulate cellular processes such as proliferation and migration through perturbation of the focal adhesion kinase pathway. -
Skeletal Muscle Gene Expression in Long-Term Endurance and Resistance Trained Elderly
International Journal of Molecular Sciences Article Skeletal Muscle Gene Expression in Long-Term Endurance and Resistance Trained Elderly 1,2, 3, 1,2, Alessandra Bolotta y, Giuseppe Filardo y, Provvidenza Maria Abruzzo *, Annalisa Astolfi 4,5 , Paola De Sanctis 1, Alessandro Di Martino 6, Christian Hofer 7, Valentina Indio 4 , Helmut Kern 7, Stefan Löfler 7 , Maurilio Marcacci 8, Sandra Zampieri 9,10, 1,2, 1, Marina Marini z and Cinzia Zucchini z 1 Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna School of Medicine, 40138 Bologna, Italy; [email protected] (A.B.); [email protected] (P.D.S.); [email protected] (M.M.); [email protected] (C.Z.) 2 IRCCS Fondazione Don Carlo Gnocchi, 20148 Milan, Italy 3 Applied and Translational Research Center, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; g.fi[email protected] 4 Giorgio Prodi Interdepartimental Center for Cancer Research, S.Orsola-Malpighi Hospital, 40138 Bologna, Italy; annalisa.astolfi@unibo.it (A.A.); [email protected] (V.I.) 5 Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy 6 Second Orthopaedic and Traumatologic Clinic, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; [email protected] 7 Ludwig Boltzmann Institute for Rehabilitation Research, 1160 Wien, Austria; [email protected] (C.H.); [email protected] (H.K.); stefan.loefl[email protected] (S.L.) 8 Department of Biomedical Sciences, Knee Joint Reconstruction Center, 3rd Orthopaedic Division, Humanitas Clinical Institute, Humanitas University, 20089 Milan, Italy; [email protected] 9 Department of Surgery, Oncology and Gastroenterology, University of Padua, 35122 Padua, Italy; [email protected] 10 Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy * Correspondence: [email protected]; Tel.: +39-051-2094122 These authors contributed equally to this work. -
Cardiovascular Diseases Genetic Testing Program Information
Cardiovascular Diseases Genetic Testing Program Description: Congenital Heart Disease Panels We offer comprehensive gene panels designed to • Congenital Heart Disease Panel (187 genes) diagnose the most common genetic causes of hereditary • Heterotaxy Panel (114 genes) cardiovascular diseases. Testing is available for congenital • RASopathy/Noonan Spectrum Disorders Panel heart malformation, cardiomyopathy, arrythmia, thoracic (31 genes) aortic aneurysm, pulmonary arterial hypertension, Marfan Other Panels syndrome, and RASopathy/Noonan spectrum disorders. • Pulmonary Arterial Hypertension (PAH) Panel Hereditary cardiovascular disease is caused by variants in (20 genes) many different genes, and may be inherited in an autosomal dominant, autosomal recessive, or X-linked manner. Other Indications: than condition-specific panels, we also offer single gene Panels: sequencing for any gene on the panels, targeted variant • Confirmation of genetic diagnosis in a patient with analysis, and targeted deletion/duplication analysis. a clinical diagnosis of cardiovascular disease Tests Offered: • Carrier or pre-symptomatic diagnosis identification Arrythmia Panels in individuals with a family history of cardiovascular • Comprehensive Arrhythmia Panel (81 genes) disease of unknown genetic basis • Atrial Fibrillation (A Fib) Panel (28 genes) Gene Specific Sequencing: • Atrioventricular Block (AV Block) Panel (7 genes) • Confirmation of genetic diagnosis in a patient with • Brugada Syndrome Panel (21 genes) cardiovascular disease and in whom a specific -
Transforming Growth Factor ß1-Mediated Functional Inhibition Of
Myelodysplastic Syndromes SUPPLEMENTARY APPENDIX Transforming growth factor 1- mediated functional inhibition of mesenchymal stromal celβls in myelodysplastic syndromes and acute myeloid leukemia Stefanie Geyh, 1* Manuel Rodríguez-Paredes, 1,2 * Paul Jäger, 1 Annemarie Koch, 1 Felix Bormann, 2 Julian Gutekunst, 2 Christoph Zilkens, 3 Ulrich Germing, 1 Guido Kobbe, 1 Frank Lyko, 2 Rainer Haas 1 and Thomas Schroeder 1 1Department of Hematology, Oncology and Clinical Immunology, University of Duesseldorf, Medical Faculty; 2Division of Epigenetics, DKFZ- ZMBH Alliance, German Cancer Research Center, Heidelberg and 3Department of Orthopedic Surgery, University of Duesseldorf, Medical Faculty, Germany *SG and MR-P contributed equally to this work. ©2018 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2017.186734 Received: December 19, 2017. Accepted: May 14, 2018. Pre-published: May 17, 2018. Correspondence: [email protected] Figure S1 Downregulated genes Downregulated genes Upregulated Figure S1. Heatmaps showing the 50 most upregulated and downregulated genes between the 3 healthy MSC controls and the 9 RCMD-, RAEB- and AML-derived MSC samples. Color scale depicts the rlog-transformed FPKM values for each gene and every sample. Figure S2 Downregulated genes Downregulated genes Upregulated Figure S2. Heatmaps showing the 50 most upregulated and downregulated genes between the 3 healthy MSC controls and the 3 RCMD, RAEB and AML MSC samples, respectively. Color scales depict the rlog-transformed FPKM values for each gene and every sample. Figure S3 A. B. 0.0015 *** ** <-3 -2 0.0010 RCMD RAEB AML -1 0 1 0.0005 Log2FC LTF 2 CCL26/GAPDH INHBB >3 0.0000 TGFB2 y S h D ML M A ealt ll LTF H a EGF 0.003 *** ** INHBB TGFB2 0.002 INHBB IGFBP7 0.001 GDF11 LIF/GAPDH BMP1 0.000 y L th M TNFSF12 l A FGF13 ea ll MDS H a FGF13 0.0015 * TNFSF10 TNFSF10 0.0010 0.0005 SPP1/GAPDH 0.0000 y th l AML ea H all MDS Figure S3. -
Etomidate Induces Cytotoxic Effects and Gene Expression in a Murine Leukemia Macrophage Cell Line (RAW264.7)
ANTICANCER RESEARCH 31: 2203-2208 (2011) Etomidate Induces Cytotoxic Effects and Gene Expression in a Murine Leukemia Macrophage Cell Line (RAW264.7) RICK SAI-CHUEN WU1, KING-CHUEN WU2, JAI-SING YANG3, SHANG-MING CHIOU4, CHUN-SHU YU5, SHU-JEN CHANG5, FU-SHIN CHUEH6 and JING-GUNG CHUNG7,8 1Department of Anesthesiology, China Medical University Hospital, Taichung, Taiwan, R.O.C.; 2Department of Anesthesiology, E-DA Hospital/I-Shou University, Kaohsiung, Taiwan, R.O.C.; Departments of 3Pharmacology, and 7Biological Science and Technology, and 5School of Pharmacy, China Medical University, Taichung, Taiwan, R.O.C.; 4Department of Functional Neurosurgery and Gamma Knife Center, China Medical University Hospital, Taichung, Taiwan, R.O.C.; Departments of 6Health and Nutrition Biotechnology, and 8Biotechnology, Asia University, Taichung, Taiwan, R.O.C. Abstract. Etomidate is an important tool in the arsenal of the Gm10683; Gm5100; Tdgf1; Cypt2; Gm5595; 1700018F24Rik; emergency physician, and it has been used in a variety of Gm10417; Maml2; Olfr591; Trdn and Apol7c). In conclusion, scenarios for both intubation and procedural sedation. In the etomidate induced cytotoxic and apoptotic effects the in murine present study, we investigated the cytotoxicity of etomidate leukemia RAW264.7 cells in vitro. including induction of apoptosis, and levels of protein and gene expressions associated with apoptotic cell death in murine In 1972, etomidate (R-(2-ethyl 1-(phenylethyl)-1H-imidazole- leukemia RAW264.7 cells in vitro. Cytotoxic and apoptotic 5-carboxylate)) was first introduced into clinical practice in responses to etomidate of RAW264.7 cells, including cell Europe, and it was approved for use in the United States in morphological changes and cell viability were examined and 1983 (1).