AR-Dependent Phosphorylation and Phospho-Proteome Targets in Prostate Cancer
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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. -
1 Long-Read Genome Sequencing for the Diagnosis Of
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.02.185447; this version posted September 14, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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-ND 4.0 International license. Long-read genome sequencing for the diagnosis of neurodevelopmental disorders Susan M. Hiatt1, James M.J. Lawlor1, Lori H. Handley1, Ryne C. Ramaker1, Brianne B. Rogers1,2, E. Christopher Partridge1, Lori Beth Boston1, Melissa Williams1, Christopher B. Plott1, Jerry Jenkins1, David E. Gray1, James M. Holt1, Kevin M. Bowling1, E. Martina Bebin3, Jane Grimwood1, Jeremy Schmutz1, Gregory M. Cooper1* 1HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA, 35806 2Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA, 35924 3Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA, 35924 *[email protected], 256-327-9490 Conflicts of Interest The authors all declare no conflicts of interest. 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.02.185447; this version posted September 14, 2020. 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-ND 4.0 International license. Abstract Purpose Exome and genome sequencing have proven to be effective tools for the diagnosis of neurodevelopmental disorders (NDDs), but large fractions of NDDs cannot be attributed to currently detectable genetic variation. This is likely, at least in part, a result of the fact that many genetic variants are difficult or impossible to detect through typical short-read sequencing approaches. -
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. -
Complete Loss of CASK Causes Severe Ataxia Through Cerebellar Degeneration
Complete loss of CASK causes severe ataxia through cerebellar degeneration Paras Patel Fralin Biomedical Research Institute at VTC Julia Hegert Orlando Health Corp Ingrid Cristian Orlando Health Corp Alicia Kerr National Eye Institute Leslie LaConte Fralin Biomedical Research Institute at VTC Michael Fox Fralin Biomedical Research Institute at VTC Sarika Srivastava Fralin Biomedical Research Institute at VTC Konark Mukherjee ( [email protected] ) Fralin Biomedical Research Institute at VTC https://orcid.org/0000-0002-6922-9554 Research article Keywords: CASK, MICPCH, neurodegeneration, X-linked, X-inactivation, cerebellum, ataxia Posted Date: May 4th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-456061/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/34 Abstract Background: Heterozygous loss of X-linked genes like CASK and MeCP2 (Rett syndrome) causes neurodevelopmental disorders (NDD) in girls, while in boys loss of the only allele of these genes leads to profound encephalopathy. The cellular basis for these disorders remains unknown. CASK is presumed to work through the Tbr1-reelin pathway in neuronal migration. Methods: Here we report clinical and histopathological analysis of a deceased 2-month-old boy with a CASK-null mutation. We rst analyze in vivo data from the subject including genetic characterization, magnetic resonance imaging (MRI) ndings, and spectral characteristics of the electroencephalogram (EEG). We next compare features of the cerebellum to an-age matched control. Based on this, we generate a murine model where CASK is completely deleted from post-migratory neurons in the cerebellum. Results: Although smaller, the CASK-null human brain exhibits normal lamination without defective neuronal differentiation, migration, or axonal guidance, excluding the role of reelin. -
Developing Biomarkers for Livestock Science
Developing biomarkers for livestock Science Ongoing research and future developments Marinus te Pas Outline . Introduction ● What are biomarkers ● Why do we need them . Examples ● omics levels . The future ● Big data ● Systems biology / Synthetic biology 2 Introduction: What are biomarkers? . Biological processes underlie all livestock (production) traits ● Measure the status of a biological process = know the trait! . Can be any molecule in a cell ● No need to know the causal factor for a trait . Well known example: blood glucose level for diabetes Introduction: Why do we need biomarkers? . The mission of WageningenUR: Sustainably produce enough high quality food for all people on the planet with an ecological footprint as low as possible 4 What can the industry do with biomarkers? . Diagnostic tool ● What is the biological mechanism underlying a trait? . Prediction tool ● What outcome can I expect from an intervention? . Monitoring tool ● What is the actual status of a process? . Speed up your process, improve your traits Some examples * Transcriptomics * Proteomics * Metabolomics Why Biomarkers for meat quality? . Meat quality has low heritability (h2=0.1-0.2) ● Predictive capacity of genetic markers low . High environmental influence ● Feed, animal handling (stress), management (housing), ... Meat quality can only be measured after 1-several days post slaughter . Need to differentiate between retail, processing industry, restaurants, .... Biomarkers can do all that and more faster, predictive, .. Example Transcriptomics biomarkers for meat quality . Pork production chain . Biomarkers for traits . High quality fresh pork . Meat colour N production chain ● A* 14 . German Pietrain ● L* 4 (microarray) ● Reflection 10 . Verification: Danish . Drip loss 2 Yorkshire (PCR) . Ultimate pH 6 . -
N-Glycan Trimming in the ER and Calnexin/Calreticulin Cycle
Neurotransmitter receptorsGABA and A postsynapticreceptor activation signal transmission Ligand-gated ion channel transport GABAGABA Areceptor receptor alpha-5 alpha-1/beta-1/gamma-2 subunit GABA A receptor alpha-2/beta-2/gamma-2GABA receptor alpha-4 subunit GABAGABA receptor A receptor beta-3 subunitalpha-6/beta-2/gamma-2 GABA-AGABA receptor; A receptor alpha-1/beta-2/gamma-2GABA receptoralpha-3/beta-2/gamma-2 alpha-3 subunit GABA-A GABAreceptor; receptor benzodiazepine alpha-6 subunit site GABA-AGABA-A receptor; receptor; GABA-A anion site channel (alpha1/beta2 interface) GABA-A receptor;GABA alpha-6/beta-3/gamma-2 receptor beta-2 subunit GABAGABA receptorGABA-A receptor alpha-2receptor; alpha-1 subunit agonist subunit GABA site Serotonin 3a (5-HT3a) receptor GABA receptorGABA-C rho-1 subunitreceptor GlycineSerotonin receptor subunit3 (5-HT3) alpha-1 receptor GABA receptor rho-2 subunit GlycineGlycine receptor receptor subunit subunit alpha-2 alpha-3 Ca2+ activated K+ channels Metabolism of ingested SeMet, Sec, MeSec into H2Se SmallIntermediateSmall conductance conductance conductance calcium-activated calcium-activated calcium-activated potassium potassium potassiumchannel channel protein channel protein 2 protein 1 4 Small conductance calcium-activatedCalcium-activated potassium potassium channel alpha/beta channel 1 protein 3 Calcium-activated potassiumHistamine channel subunit alpha-1 N-methyltransferase Neuraminidase Pyrimidine biosynthesis Nicotinamide N-methyltransferase Adenosylhomocysteinase PolymerasePolymeraseHistidine basic -
YAP and TAZ Mediators at the Crossroad Between Metabolic and Cellular Reprogramming
H OH metabolites OH Review YAP and TAZ Mediators at the Crossroad between Metabolic and Cellular Reprogramming Giorgia Di Benedetto, Silvia Parisi , Tommaso Russo and Fabiana Passaro * Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 40, 80138 Napoli, Italy; [email protected] (G.D.B.); [email protected] (S.P.); [email protected] (T.R.) * Correspondence: [email protected] Abstract: Cell reprogramming can either refer to a direct conversion of a specialized cell into another or to a reversal of a somatic cell into an induced pluripotent stem cell (iPSC). It implies a peculiar modification of the epigenetic asset and gene regulatory networks needed for a new cell, to better fit the new phenotype of the incoming cell type. Cellular reprogramming also implies a metabolic rearrangement, similar to that observed upon tumorigenesis, with a transition from oxidative phosphorylation to aerobic glycolysis. The induction of a reprogramming process requires a nexus of signaling pathways, mixing a range of local and systemic information, and accumulating evidence points to the crucial role exerted by the Hippo pathway components Yes-Associated Protein (YAP) and Transcriptional Co-activator with PDZ-binding Motif (TAZ). In this review, we will first provide a synopsis of the Hippo pathway and its function during reprogramming and tissue regeneration, then we introduce the latest knowledge on the interplay between YAP/TAZ Citation: Di Benedetto, G.; Parisi, S.; and metabolism and, finally, we discuss the possible role of YAP/TAZ in the orchestration of the Russo, T.; Passaro, F. YAP and TAZ metabolic switch upon cellular reprogramming. -
Causal Varian Discovery in Familial Congenital Heart Disease - an Integrative -Omic Approach Wendy Demos Marquette University
Marquette University e-Publications@Marquette Master's Theses (2009 -) Dissertations, Theses, and Professional Projects Causal Varian discovery in Familial Congenital Heart Disease - An Integrative -Omic Approach Wendy Demos Marquette University Recommended Citation Demos, Wendy, "Causal Varian discovery in Familial Congenital Heart Disease - An Integrative -Omic Approach" (2012). Master's Theses (2009 -). 140. https://epublications.marquette.edu/theses_open/140 CAUSAL VARIANT DISCOVERY IN FAMILIAL CONGENITAL HEART DISEASE – AN INTEGRATIVE –OMIC APPROACH by Wendy M. Demos A Thesis submitted to the Faculty of the Graduate School, Marquette University, in Partial Fulfillment of the Requirements for the Degree of Master of Science Milwaukee, Wisconsin May 2012 ABSTRACT CAUSAL VARIANT DISCOVERY IN FAMILIAL CONGENITAL HEART DISEASE – AN INTEGRATIVE –OMIC APPROACH Wendy M. Demos Marquette University, 2012 Background : Hypoplastic left heart syndrome (HLHS) is a congenital heart defect that leads to neonatal death or compromised quality of life for those affected and their families. This syndrome requires extensive medical intervention for the affected to survive. It is characterized by significant underdevelopment or non-existence of the components of the left heart and the aorta, including the left ventricular cavity and mass. There are many factors ranging from genetics to environmental relationships hypothesized to lead to the development of the syndrome, including recent studies suggesting a link between hearing impairment and congenital heart defects (CHD). Although broadly characterized those factors remain poorly understood. The goal of this project is to systematically utilize bioinformatics tools to determine the relationships of novel mutations found in exome sequencing to a familial congenital heart defect. Methods A systematic genomic and proteomic approach involving exome sequencing, pathway analysis, and protein modeling was implemented to examine exome sequencing data of a patient with HLHS. -
Regulation of Skeletal Muscle Metabolism and Development by Small, Non-Coding Rnas: Implications for Insulin Resistance and Type 2 Diabetes Mellitus
From the Department of Molecular Medicine and Surgery Karolinska Institutet, Stockholm, Sweden Regulation of Skeletal Muscle Metabolism and Development by Small, Non-Coding RNAs: Implications for Insulin Resistance and Type 2 Diabetes Mellitus Rasmus Sjögren Stockholm 2018 All previously published papers were reproduced with permission from the publisher. © 2017 by the American Diabetes Association ® Diabetes 2017 Jul; 66(7): 1807-1818 Reprinted with permission from the American Diabetes Association ® Published by Karolinska Institutet. Printed by Eprint AB, 2018. © Rasmus Sjögren, 2018. ISBN 978-91-7831-057-9 Department of Molecular Medicine and Surgery Regulation of Skeletal Muscle Metabolism and Development by Small, Non-Coding RNAs: Implications for Insulin Resistance and Type 2 Diabetes Mellitus THESIS FOR DOCTORAL DEGREE (Ph.D.) by Rasmus Sjögren Defended on: Wednesday the 13th of June 2018, 12:30 pm Hillarpsalen, Retzius väg 8, Stockholm Principal Supervisor: Opponent: Prof Juleen R. Zierath Prof Markus Stoffel Karolinska Institutet Swiss Federal Institute of Technology in Zurich Department of Molecular Medicine and Surgery Department of Biology Division of Integrative Physiology Division of Metabolism and Metabolic Diseases Co-supervisor(s): Examination Board: Prof Anna Krook Prof Ulf Eriksson Karolinska Institutet Karolinska Insitutet Department of Physiology and Pharmacology Department of Medical Biochemistry and Bio- Division of Integrative Physiology physics Division of Vascular Biology Prof Eckardt Treuter Karolinska Insitutet Department of Biosciences and Nutrition Division of Epigenome Regulation Prof Lena Eliasson Lund University Department of Clinical Sciences, Malmö Division of Islet Cell Exocytosis ABSTRACT microRNAs (miRNAs) are a class of epigenetic post-transcriptional regulators. These short (~22 nucleotides) non-coding RNAs can potently reduce protein abundance through direction of the RNA-induced silencing complex to targeted genes. -
IGF2BP1 Is a Targetable SRC/MAPK-Dependent Driver Of
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.19.159905; this version posted June 20, 2020. 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. 1 IGF2BP1 is a targetable SRC/MAPK-dependent driver of invasive growth in ovarian 2 cancer 3 4 Authors: Nadine Bley1*$#, Annekatrin Schott1*, Simon Müller1, Danny Misiak1, Marcell 5 Lederer1, Tommy Fuchs1, Chris Aßmann1, Markus Glaß1, Christian Ihling2, Andrea Sinz2, 6 Nikolaos Pazaitis3, Claudia Wickenhauser3, Martina Vetter4, Olga Ungurs4, Hans-Georg 7 Strauss4, Christoph Thomssen4, Stefan Hüttelmaier1$. 8 9 10 Addresses: 11 1 Sect. Molecular Cell Biology, Inst. of Molecular Medicine, Charles Tanford Protein Center, 12 Medical Faculty, Martin Luther University Halle-Wittenberg, Kurt-Mothes-Str. 3A, 06120 Halle, 13 Germany 14 2 Dept. of Pharmaceutical Chemistry & Bioanalytics, Inst. of Pharmacy, Charles Tanford 15 Protein Center, Martin Luther University Halle-Wittenberg, Kurt-Mothes Str. 3A, 06120 Halle, 16 Germany 17 3 Inst. of Pathology, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger 18 Str. 14, 06112 Halle, Germany 19 4 Clinics for Gynecology, Medical Faculty, Martin Luther University Halle-Wittenberg, Ernst- 20 Grube-Str. 40, 06120 Halle, Germany 21 22 23 * These authors contributed equally to this work 24 $ shared corresponding authorship 25 # Correspondence: should be addressed to Nadine Bley 26 Running title: IGF2BP1-directed AJ disassembly depends on SRC activation 27 Disclosure of Potential Conflicts of Interests: the authors declare no conflicts of interest. -
Application of a MYC Degradation
SCIENCE SIGNALING | RESEARCH ARTICLE CANCER Copyright © 2019 The Authors, some rights reserved; Application of a MYC degradation screen identifies exclusive licensee American Association sensitivity to CDK9 inhibitors in KRAS-mutant for the Advancement of Science. No claim pancreatic cancer to original U.S. Devon R. Blake1, Angelina V. Vaseva2, Richard G. Hodge2, McKenzie P. Kline3, Thomas S. K. Gilbert1,4, Government Works Vikas Tyagi5, Daowei Huang5, Gabrielle C. Whiten5, Jacob E. Larson5, Xiaodong Wang2,5, Kenneth H. Pearce5, Laura E. Herring1,4, Lee M. Graves1,2,4, Stephen V. Frye2,5, Michael J. Emanuele1,2, Adrienne D. Cox1,2,6, Channing J. Der1,2* Stabilization of the MYC oncoprotein by KRAS signaling critically promotes the growth of pancreatic ductal adeno- carcinoma (PDAC). Thus, understanding how MYC protein stability is regulated may lead to effective therapies. Here, we used a previously developed, flow cytometry–based assay that screened a library of >800 protein kinase inhibitors and identified compounds that promoted either the stability or degradation of MYC in a KRAS-mutant PDAC cell line. We validated compounds that stabilized or destabilized MYC and then focused on one compound, Downloaded from UNC10112785, that induced the substantial loss of MYC protein in both two-dimensional (2D) and 3D cell cultures. We determined that this compound is a potent CDK9 inhibitor with a previously uncharacterized scaffold, caused MYC loss through both transcriptional and posttranslational mechanisms, and suppresses PDAC anchorage- dependent and anchorage-independent growth. We discovered that CDK9 enhanced MYC protein stability 62 through a previously unknown, KRAS-independent mechanism involving direct phosphorylation of MYC at Ser . -
Supplementary Table 1
SI Table S1. Broad protein kinase selectivity for PF-2771. Kinase, PF-2771 % Inhibition at 10 μM Service Kinase, PF-2771 % Inhibition at 1 μM Service rat RPS6KA1 (RSK1) 39 Dundee AURKA (AURA) 24 Invitrogen IKBKB (IKKb) 26 Dundee CDK2 /CyclinA 21 Invitrogen mouse LCK 25 Dundee rabbit MAP2K1 (MEK1) 19 Dundee AKT1 (AKT) 21 Dundee IKBKB (IKKb) 16 Dundee CAMK1 (CaMK1a) 19 Dundee PKN2 (PRK2) 14 Dundee RPS6KA5 (MSK1) 18 Dundee MAPKAPK5 14 Dundee PRKD1 (PKD1) 13 Dundee PIM3 12 Dundee MKNK2 (MNK2) 12 Dundee PRKD1 (PKD1) 12 Dundee MARK3 10 Dundee NTRK1 (TRKA) 12 Invitrogen SRPK1 9 Dundee MAPK12 (p38g) 11 Dundee MAPKAPK5 9 Dundee MAPK8 (JNK1a) 11 Dundee MAPK13 (p38d) 8 Dundee rat PRKAA2 (AMPKa2) 11 Dundee AURKB (AURB) 5 Dundee NEK2 11 Invitrogen CSK 5 Dundee CHEK2 (CHK2) 11 Invitrogen EEF2K (EEF-2 kinase) 4 Dundee MAPK9 (JNK2) 9 Dundee PRKCA (PKCa) 4 Dundee rat RPS6KA1 (RSK1) 8 Dundee rat PRKAA2 (AMPKa2) 4 Dundee DYRK2 7 Dundee rat CSNK1D (CKId) 3 Dundee AKT1 (AKT) 7 Dundee LYN 3 BioPrint PIM2 7 Invitrogen CSNK2A1 (CKIIa) 3 Dundee MAPK15 (ERK7) 6 Dundee CAMKK2 (CAMKKB) 1 Dundee mouse LCK 5 Dundee PIM3 1 Dundee PDPK1 (PDK1) (directed 5 Invitrogen rat DYRK1A (MNB) 1 Dundee RPS6KB1 (p70S6K) 5 Dundee PBK 0 Dundee CSNK2A1 (CKIIa) 4 Dundee PIM1 -1 Dundee CAMKK2 (CAMKKB) 4 Dundee DYRK2 -2 Dundee SRC 4 Invitrogen MAPK12 (p38g) -2 Dundee MYLK2 (MLCK_sk) 3 Invitrogen NEK6 -3 Dundee MKNK2 (MNK2) 2 Dundee RPS6KB1 (p70S6K) -3 Dundee SRPK1 2 Dundee AKT2 -3 Dundee MKNK1 (MNK1) 2 Dundee RPS6KA3 (RSK2) -3 Dundee CHEK1 (CHK1) 2 Invitrogen rabbit MAP2K1 (MEK1) -4 Dundee