Dema and Faust Et Al., Suppl. Material 2020.02.03
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METACYC ID Description A0AR23 GO:0004842 (Ubiquitin-Protein Ligase
Electronic Supplementary Material (ESI) for Integrative Biology This journal is © The Royal Society of Chemistry 2012 Heat Stress Responsive Zostera marina Genes, Southern Population (α=0. -
I HIGH MASS ACCURACY COUPLED to SPATIALLY-DIRECTED
HIGH MASS ACCURACY COUPLED TO SPATIALLY-DIRECTED PROTEOMICS FOR IMPROVED PROTEIN IDENTIFICATIONS IN IMAGING MASS SPECTROMETRY EXPERIMENTS By David Geoffrey Rizzo 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 Chemistry August, 2016 Nashville, Tennessee Approved: Richard M. Caprioli, Ph.D. Kevin L. Schey, Ph.D. John A. McLean, Ph.D. Michael P. Stone, Ph.D. i Copyright © 2016 by David Geoffrey Rizzo All Rights Reserved ii This work is dedicated to my family and friends, who have shown nothing but support for me in all of life’s endeavors. iii ACKNOWLEDGEMENTS “As we express our gratitude, we must never forget that the highest appreciation is not to utter words, but to live by them.” - John F. Kennedy – There are many people I must thank for showing kindness, encouragement, and support for me during my tenure as a graduate student. First and foremost, I would like to thank my research advisor, Richard Caprioli, for providing both ample resources and guidance that allowed me to grow as a scientist. Our discussions about my research and science in general have helped me become a much more focused and discerning analytical chemist. I must also thank my Ph.D. committee members, Drs. Kevin Schey, John McLean, and Michael Stone, who have brought valuable insight into my research and provided direction along the way. My undergraduate advisor, Dr. Facundo Fernández, encouraged me to begin research in his lab and introduced me to the world of mass spectrometry. -
Astrin-SKAP Complex Reconstitution Reveals Its Kinetochore
RESEARCH ARTICLE Astrin-SKAP complex reconstitution reveals its kinetochore interaction with microtubule-bound Ndc80 David M Kern1,2, Julie K Monda1,2†, Kuan-Chung Su1†, Elizabeth M Wilson-Kubalek3, Iain M Cheeseman1,2* 1Whitehead Institute for Biomedical Research, Cambridge, United States; 2Department of Biology, Massachusetts Institute of Technology, Cambridge, United States; 3Department of Cell Biology, The Scripps Research Institute, La Jolla, United States Abstract Chromosome segregation requires robust interactions between the macromolecular kinetochore structure and dynamic microtubule polymers. A key outstanding question is how kinetochore-microtubule attachments are modulated to ensure that bi-oriented attachments are selectively stabilized and maintained. The Astrin-SKAP complex localizes preferentially to properly bi-oriented sister kinetochores, representing the final outer kinetochore component recruited prior to anaphase onset. Here, we reconstitute the 4-subunit Astrin-SKAP complex, including a novel MYCBP subunit. Our work demonstrates that the Astrin-SKAP complex contains separable kinetochore localization and microtubule binding domains. In addition, through cross-linking analysis in human cells and biochemical reconstitution, we show that the Astrin-SKAP complex binds synergistically to microtubules with the Ndc80 complex to form an integrated interface. We propose a model in which the Astrin-SKAP complex acts together with the Ndc80 complex to stabilize correctly formed kinetochore-microtubule interactions. *For correspondence: DOI: https://doi.org/10.7554/eLife.26866.001 [email protected] †These authors contributed equally to this work Introduction Competing interests: The The macromolecular kinetochore complex links chromosomes to dynamic microtubule polymers and authors declare that no harnesses the forces generated by microtubule growth and depolymerization to facilitate accurate competing interests exist. -
Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Hidden Targets in RAF Signalling Pathways to Block Oncogenic RAS Signalling
G C A T T A C G G C A T genes Review Hidden Targets in RAF Signalling Pathways to Block Oncogenic RAS Signalling Aoife A. Nolan 1, Nourhan K. Aboud 1, Walter Kolch 1,2,* and David Matallanas 1,* 1 Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland; [email protected] (A.A.N.); [email protected] (N.K.A.) 2 Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland * Correspondence: [email protected] (W.K.); [email protected] (D.M.) Abstract: Oncogenic RAS (Rat sarcoma) mutations drive more than half of human cancers, and RAS inhibition is the holy grail of oncology. Thirty years of relentless efforts and harsh disappointments have taught us about the intricacies of oncogenic RAS signalling that allow us to now get a pharma- cological grip on this elusive protein. The inhibition of effector pathways, such as the RAF-MEK-ERK pathway, has largely proven disappointing. Thus far, most of these efforts were aimed at blocking the activation of ERK. Here, we discuss RAF-dependent pathways that are regulated through RAF functions independent of catalytic activity and their potential role as targets to block oncogenic RAS signalling. We focus on the now well documented roles of RAF kinase-independent functions in apoptosis, cell cycle progression and cell migration. Keywords: RAF kinase-independent; RAS; MST2; ASK; PLK; RHO-α; apoptosis; cell cycle; cancer therapy Citation: Nolan, A.A.; Aboud, N.K.; Kolch, W.; Matallanas, D. Hidden Targets in RAF Signalling Pathways to Block Oncogenic RAS Signalling. -
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. -
Product Data Sheet
Product Data Sheet ExProfileTM Human AMPK Signaling Related Gene qPCR Array For focused group profiling of human AMPK signaling genes expression Cat. No. QG004-A (4 x 96-well plate, Format A) Cat. No. QG004-B (4 x 96-well plate, Format B) Cat. No. QG004-C (4 x 96-well plate, Format C) Cat. No. QG004-D (4 x 96-well plate, Format D) Cat. No. QG004-E (4 x 96-well plate, Format E) Plates available individually or as a set of 6. Each set contains 336 unique gene primer pairs deposited in one 96-well plate. Introduction The ExProfile human AMPK signaling related gene qPCR array profiles the expression of 336 human genes related to AMPK-mediated signal transduction. These genes are carefully chosen for their close pathway correlation based on a thorough literature search of peer-reviewed publications, mainly including genes that encode AMP-activated protein kinase complex，its regulators and targets involved in many important biological processes, such as glucose uptake, β-oxidation of fatty acids and modulation of insulin secretion. This array allows researchers to study the pathway-related genes to gain understanding of their roles in the different biological processes. QG004 plate 01: 84 unique gene PCR primer pairs QG004 plate 02: 84 unique gene PCR primer pairs QG004 plate 03: 84 unique gene PCR primer pairs QG004 plate 04: 84 unique gene PCR primer pairs Shipping and storage condition Shipped at room temperate Stable for at least 6 months when stored at -20°C Array format GeneCopoeia provides five qPCR array formats (A, B, C, D, and E) suitable for use with the following real- time cyclers. -
Chromosomal Assignment of the Genes for Human Aldehyde Dehydrogenase-1 and Aldehyde Dehydrogenase-2 LILY C
Am J Hum Genet 38:641-648, 1986 Chromosomal Assignment of the Genes for Human Aldehyde Dehydrogenase-1 and Aldehyde Dehydrogenase-2 LILY C. Hsu,', AKIRA YOSHIDA,' AND T. MOHANDAS2 SUMMARY Chromosomal assignment of the genes for two major human aldehyde dehydrogenase isozymes, that is, cytosolic aldehyde dehydrogenase-1 (ALDH1) and mitochondrial aldehyde dehydrogenase-2 (ALDH2) were determined. Genomic DNA, isolated from a panel of mouse- human and Chinese hamster-human hybrid cell lines, was digested by restriction endonucleases and subjected to Southern blot hybridiza- tion using cDNA probes for ALDH1 and for ALDH2. Based on the distribution pattern of ALDH1 and ALDH2 in cell hybrids, ALDHI was assigned to the long arm of human chromosome 9 and ALDH2 to chromosome 12. INTRODUCTION Two major and at least two minor aldehyde dehydrogenase isozymes exist in human and other mammalian livers. One of the major isozymes, designated as ALDH 1, or E1, is of cytosolic origin, and another major isozyme, designated as ALDH2 or E2, is of mitochondrial origin. The two isozymes are different from each other with respect to their kinetic properties, sensitivity to disulfiram inactivation, and protein structure [1-5]. Remarkable racial differences be- tween Caucasians and Orientals have been found in these isozymes. Approxi- mately 50% of Orientals have a variant form of ALDH2 associated with dimin- ished activity, while virtually all Caucasians have the wild-type active ALDH2 Received July 10, 1985; revised September 23, 1985. This work was supported by grant AA05763 from the National Institutes of Health. ' Department of Biochemical Genetics, Beckman Research Institute of the City of Hope, Duarte, CA 91010. -
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers. by Kelly Kennaley A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Molecular and Cellular Pathology) in the University of Michigan 2019 Doctoral Committee: Associate Professor Zaneta Nikolovska-Coleska, Co-Chair Adjunct Associate Professor Scott A. Tomlins, Co-Chair Associate Professor Eric R. Fearon Associate Professor Alexey I. Nesvizhskii Kelly R. Kennaley [email protected] ORCID iD: 0000-0003-2439-9020 © Kelly R. Kennaley 2019 Acknowledgements I have immeasurable gratitude for the unwavering support and guidance I received throughout my dissertation. First and foremost, I would like to thank my thesis advisor and mentor Dr. Scott Tomlins for entrusting me with a challenging, interesting, and impactful project. He taught me how to drive a project forward through set-backs, ask the important questions, and always consider the impact of my work. I’m truly appreciative for his commitment to ensuring that I would get the most from my graduate education. I am also grateful to the many members of the Tomlins lab that made it the supportive, collaborative, and educational environment that it was. I would like to give special thanks to those I’ve worked closely with on this project, particularly Dr. Moloy Goswami for his mentorship, Lei Lucy Wang, Dr. Sumin Han, and undergraduate students Bhavneet Singh, Travis Weiss, and Myles Barlow. I am also grateful for the support of my thesis committee, Dr. Eric Fearon, Dr. Alexey Nesvizhskii, and my co-mentor Dr. Zaneta Nikolovska-Coleska, who have offered guidance and critical evaluation since project inception. -
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. -
The Characterization of Human Adenylate Kinases 7 and 8
The characterization of human adenylate kinases 7 and 8 demonstrates differences in kinetic parameters and structural organization among the family of adenylate kinase isoenzymes Christakis Panayiotou, Nicola Solaroli, Yunjian Xu, Magnus Johansson, Anna Karlsson To cite this version: Christakis Panayiotou, Nicola Solaroli, Yunjian Xu, Magnus Johansson, Anna Karlsson. The char- acterization of human adenylate kinases 7 and 8 demonstrates differences in kinetic parameters and structural organization among the family of adenylate kinase isoenzymes. Biochemical Journal, Port- land Press, 2011, 433 (3), pp.527-534. 10.1042/BJ20101443. hal-00558097 HAL Id: hal-00558097 https://hal.archives-ouvertes.fr/hal-00558097 Submitted on 21 Jan 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Biochemical Journal Immediate Publication. Published on 16 Nov 2010 as manuscript BJ20101443 The characterization of human adenylate kinases 7 and 8 demonstrates differences in kinetic parameters and structural organization among the family of adenylate kinase isoenzymes -
Molecular Docking Investigation of the Amantadine Binding to the Enzymes Upregulated Or Downregulated in Parkinson's Disease
ADMET & DMPK 8(2) (2020) 149-175; doi: http://dx.doi.org/10.5599/admet.854 Open Access : ISSN : 1848-7718 http://www.pub.iapchem.org/ojs/index.php/admet/index Original scientific paper Molecular docking investigation of the amantadine binding to the enzymes upregulated or downregulated in Parkinson’s disease 1,2 Mihaela Ileana Ionescu 1Department of Microbiology, Iuliu Hațieganu University of Medicine and Pharmacy, 6 Louis Pasteur, 400349, Cluj- Napoca, Romania, [email protected] 2Department of Microbiology, County Emergency Clinical Hospital, 400006, Cluj-Napoca, Romania E-mail: [email protected]; Received: May 15, 2020; Revised: June 01, 2020; Published: June 15, 2020 Abstract Parkinson’s disease (PD) is a progressive neurodegenerative disease. Levodopa in combination with amantadine has a demonstrated efficacy in motility impairment. An extensive investigation of some enzymes described to be upregulated or downregulated in PD was made – adenylate kinase (AK), adenine phosphoribosyltransferase (APRT), ectonucleoside triphosphate diphosphohydrolase 1 (ENTPD1), nucleoside-diphosphate kinase 3 (NDK3), purine nucleoside phosphorylase 1 (PNP1), and ecto-5’- nucleotidase (NT5E). Also, creatine kinase (CK) was included in the study because it is one of the main enzymes involved in the regulation of the nucleotide ratio in energy metabolism. To date, there is no proven link between amantadine treatment of PD and these enzymes. Because there are many AKs isoforms modified in PD, the AK was the first investigated. The molecular docking experiments allow the analysis of the selective binding of amantadine – unionized (with –NH2 group) and ionized form (with – + NH3 group) – to the AKs’ isoforms implicated in PD. Using available X-ray 3D structures of human AKs in closed-conformation, it was demonstrated that there are notable differences between the interactions of the two forms of amantadine for the zebrafish AK1 (5XZ2), human AK2 (2C9Y), human AK5 (2BWJ), and AK from B.stearothermophilus.