A Role for Glycogen Synthase Kinase-3 in Mitotic Spindle Dynamics and Chromosome Alignment
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Aurora Kinase a in Gastrointestinal Cancers: Time to Target Ahmed Katsha1, Abbes Belkhiri1, Laura Goff3 and Wael El-Rifai1,2,4*
Katsha et al. Molecular Cancer (2015) 14:106 DOI 10.1186/s12943-015-0375-4 REVIEW Open Access Aurora kinase A in gastrointestinal cancers: time to target Ahmed Katsha1, Abbes Belkhiri1, Laura Goff3 and Wael El-Rifai1,2,4* Abstract Gastrointestinal (GI) cancers are a major cause of cancer-related deaths. During the last two decades, several studies have shown amplification and overexpression of Aurora kinase A (AURKA) in several GI malignancies. These studies demonstrated that AURKA not only plays a role in regulating cell cycle and mitosis, but also regulates a number of key oncogenic signaling pathways. Although AURKA inhibitors have moved to phase III clinical trials in lymphomas, there has been slower progress in GI cancers and solid tumors. Ongoing clinical trials testing AURKA inhibitors as a single agent or in combination with conventional chemotherapies are expected to provide important clinical information for targeting AURKA in GI cancers. It is, therefore, imperative to consider investigations of molecular determinants of response and resistance to this class of inhibitors. This will improve evaluation of the efficacy of these drugs and establish biomarker based strategies for enrollment into clinical trials, which hold the future direction for personalized cancer therapy. In this review, we will discuss the available data on AURKA in GI cancers. We will also summarize the major AURKA inhibitors that have been developed and tested in pre-clinical and clinical settings. Keywords: Aurora kinases, Therapy, AURKA inhibitors, MNL8237, Alisertib, Gastrointestinal, Cancer, Signaling pathways Introduction stage [9-11]. Furthermore, AURKA is critical for Mitotic kinases are the main proteins that coordinate ac- bipolar-spindle assembly where it interacts with Ran- curate mitotic processing [1]. -
RASSF1A Interacts with and Activates the Mitotic Kinase Aurora-A
Oncogene (2008) 27, 6175–6186 & 2008 Macmillan Publishers Limited All rights reserved 0950-9232/08 $32.00 www.nature.com/onc ORIGINAL ARTICLE RASSF1A interacts with and activates the mitotic kinase Aurora-A L Liu1, C Guo1, R Dammann2, S Tommasi1 and GP Pfeifer1 1Division of Biology, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, USA and 2Institute of Genetics, University of Giessen, Giessen, Germany The RAS association domain family 1A (RASSF1A) gene tumorigenesis and carcinogen-induced tumorigenesis is located at chromosome 3p21.3 within a specific area of (Tommasi et al., 2005; van der Weyden et al., 2005), common heterozygous and homozygous deletions. RASS- supporting the notion that RASSF1A is a bona fide F1A frequently undergoes promoter methylation-asso- tumor suppressor. However, it is not fully understood ciated inactivation in human cancers. Rassf1aÀ/À mice how RASSF1A is involved in tumor suppression. are prone to both spontaneous and carcinogen-induced The biochemical function of the RASSF1A protein is tumorigenesis, supporting the notion that RASSF1A is a largely unknown. The homology of RASSF1A with the tumor suppressor. However, it is not fully understood how mammalian Ras effector novel Ras effector (NORE)1 RASSF1A is involved in tumor suppression pathways. suggests that the RASSF1A gene product may function Here we show that overexpression of RASSF1A inhibits in signal transduction pathways involving Ras-like centrosome separation. RASSF1A interacts with Aurora-A, proteins. However, recent data indicate that RASSF1A a mitotic kinase. Surprisingly, knockdown of RASS- itself binds to RAS only weakly and that binding to F1A by siRNA led to reduced activation of Aurora-A, RAS may require heterodimerization of RASSF1A and whereas overexpression of RASSF1A resulted in in- NORE1 (Ortiz-Vega et al., 2002). -
Cell Type–Dependent Effects of Polo-Like Kinase 1 Inhibition Compared with Targeted Polo Box Interference in Cancer Cell Lines
3189 Cell type–dependent effects of Polo-like kinase 1 inhibition compared with targeted polo box interference in cancer cell lines Jenny Fink, Karl Sanders, Alexandra Rippl, certain cell lines but highly contrasting effects in others. Sylvia Finkernagel, Thomas L. Beckers, This may point to subtle differences in the molecular and Mathias Schmidt machinery of mitosis regulation in cancer cells. [Mol Cancer Ther 2007;6(12):3189–97] Nycomed GmbH, Konstanz, Germany Introduction Abstract Polo-like kinase 1 (Plk1) has been identified as key player Multiple critical roles within mitosis have been assigned for G2-M transition and mitotic progression in both normal to Polo-like kinase 1 (Plk1), making it an attractive and tumor cells (1). Multiple roles have been assigned to candidate for mitotic targeting of cancer cells. Plk1 Plk1 at the entry into M phase, mitotic spindle formation, contains two domains amenable for targeted interference: condensation and separation of chromosomes, exit from a kinase domain responsible for the enzymatic function mitosis by activation of the anaphase-promoting complex, and a polo box domain necessary for substrate recogni- and in cytokinesis (reviewed in ref. 2). Moreover, recent tion and subcellular localization. Here, we compare two reports implicated an involvement of Plk1 in the resump- approaches for targeted interference with Plk1 function, tion of cell cycle reentry after checkpoint activation through either by a Plk1 small-molecule enzyme inhibitor or by DNA-damaging agents (3). It is therefore not surprising inducible overexpression of the polo box in human cancer that targeted interference with Plk1, primarily by anti- cell lines. -
Review Article Mitotic Kinases and P53 Signaling
Hindawi Publishing Corporation Biochemistry Research International Volume 2012, Article ID 195903, 14 pages doi:10.1155/2012/195903 Review Article Mitotic Kinases and p53 Signaling Geun-Hyoung Ha1 and Eun-Kyoung Yim Breuer1, 2 1 Department of Radiation Oncology, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA 2 Department of Molecular Pharmacology and Therapeutics, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 60153, USA Correspondence should be addressed to Eun-Kyoung Yim Breuer, [email protected] Received 6 April 2012; Accepted 18 May 2012 Academic Editor: Mandi M. Murph Copyright © 2012 G.-H. Ha and E.-K. Y. Breuer. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Mitosis is tightly regulated and any errors in this process often lead to aneuploidy, genomic instability, and tumorigenesis. Deregulation of mitotic kinases is significantly associated with improper cell division and aneuploidy. Because of their importance during mitosis and the relevance to cancer, mitotic kinase signaling has been extensively studied over the past few decades and, as a result, several mitotic kinase inhibitors have been developed. Despite promising preclinical results, targeting mitotic kinases for cancer therapy faces numerous challenges, including safety and patient selection issues. Therefore, there is an urgent need to better understand the molecular mechanisms underlying mitotic kinase signaling and its interactive network. Increasing evidence suggests that tumor suppressor p53 functions at the center of the mitotic kinase signaling network. In response to mitotic spindle damage, multiple mitotic kinases phosphorylate p53 to either activate or deactivate p53-mediated signaling. -
Α-Synuclein-Sy-Synucleinnuclein Phosphorylationphosphorylation Andand Re Relatedlated Kinaseskinases Inin Parkinsonparkinson’S Diseasedisease
αα-Synuclein-Sy-Synucleinnuclein phosphorylationphosphorylation andand relatedrelated kinaseskinases inin ParkinsonParkinson’s diseasedisease Jin-XiaJin-Xia ZhouZhou A thesis submitted in fulfillment of the requirement of the degree of Doctor of Philosophy School of Medical Sciences, Faculty of Medicine and Neuroscience Research Australia November 2013 I PLEASE TYPE THE UNIVERSITY OF NEW SOUTH WALES Thesis/Dissertation Sheet Surname or Family name: Zhou First name: Jin-Xia Other name/s: I Abbreviation for degree as given in the University calendar: PhD School: School of Medical Sciences Faculty: Medicine lation and related kinases in Parkinson's disease Abstract 350 words maximum: (PLEASE TYPE) ' Parkinson's disease (PO) is the most common neurodegenerative movement disorder pathologically identified by degeneration of the nigrostriatal system and the presence of Lcwy bodies (LBs) and neurites. structuTal pathologies largely made from insoluble a-synuclein phosphorylated at serine 129 (S 129P). Several kinases have been suggested to facilitate a-synuciein phosphorylation in PD, but without significant human data the changes that precipitate such pathology remain conjecture. The major aims of this pr~ject were to assess the dynamic changes of a -synuclein phosphorylation and related kinases in the progression of PD and in animal models of PD. and to determine whether Tenuigenin (TEN), a Chinese medicinal herb, can prevent cc-synucleln-induc.?d toxicity in a cell model. The levels of non-phosphorylated a-synuclein decreased over the course ofPD, becoming increasingly phosphorylated and insoluble. There was a dramatic increase in phosphorylated a-synuclein that preceded LB formation. Importantly, three a-synuc!ein-relatec ki nases [polo-like kinase 2 {PLK2), lcuc.:inc- rich repeat kinase 2 (LRRK2l and cyclin G-~tssoc i ated kinase (GAK)] were found to be involved at different times in the evolution of LB formation in P.O. -
PLK-1 Promotes the Merger of the Parental Genome Into A
RESEARCH ARTICLE PLK-1 promotes the merger of the parental genome into a single nucleus by triggering lamina disassembly Griselda Velez-Aguilera1, Sylvia Nkombo Nkoula1, Batool Ossareh-Nazari1, Jana Link2, Dimitra Paouneskou2, Lucie Van Hove1, Nicolas Joly1, Nicolas Tavernier1, Jean-Marc Verbavatz3, Verena Jantsch2, Lionel Pintard1* 1Programme Equipe Labe´llise´e Ligue Contre le Cancer - Team Cell Cycle & Development - Universite´ de Paris, CNRS, Institut Jacques Monod, Paris, France; 2Department of Chromosome Biology, Max Perutz Laboratories, University of Vienna, Vienna Biocenter, Vienna, Austria; 3Universite´ de Paris, CNRS, Institut Jacques Monod, Paris, France Abstract Life of sexually reproducing organisms starts with the fusion of the haploid egg and sperm gametes to form the genome of a new diploid organism. Using the newly fertilized Caenorhabditis elegans zygote, we show that the mitotic Polo-like kinase PLK-1 phosphorylates the lamin LMN-1 to promote timely lamina disassembly and subsequent merging of the parental genomes into a single nucleus after mitosis. Expression of non-phosphorylatable versions of LMN- 1, which affect lamina depolymerization during mitosis, is sufficient to prevent the mixing of the parental chromosomes into a single nucleus in daughter cells. Finally, we recapitulate lamina depolymerization by PLK-1 in vitro demonstrating that LMN-1 is a direct PLK-1 target. Our findings indicate that the timely removal of lamin is essential for the merging of parental chromosomes at the beginning of life in C. elegans and possibly also in humans, where a defect in this process might be fatal for embryo development. *For correspondence: [email protected] Introduction Competing interests: The After fertilization, the haploid gametes of the egg and sperm have to come together to form the authors declare that no genome of a new diploid organism. -
Structures, Functions, and Mechanisms of Filament Forming Enzymes: a Renaissance of Enzyme Filamentation
Structures, Functions, and Mechanisms of Filament Forming Enzymes: A Renaissance of Enzyme Filamentation A Review By Chad K. Park & Nancy C. Horton Department of Molecular and Cellular Biology University of Arizona Tucson, AZ 85721 N. C. Horton ([email protected], ORCID: 0000-0003-2710-8284) C. K. Park ([email protected], ORCID: 0000-0003-1089-9091) Keywords: Enzyme, Regulation, DNA binding, Nuclease, Run-On Oligomerization, self-association 1 Abstract Filament formation by non-cytoskeletal enzymes has been known for decades, yet only relatively recently has its wide-spread role in enzyme regulation and biology come to be appreciated. This comprehensive review summarizes what is known for each enzyme confirmed to form filamentous structures in vitro, and for the many that are known only to form large self-assemblies within cells. For some enzymes, studies describing both the in vitro filamentous structures and cellular self-assembly formation are also known and described. Special attention is paid to the detailed structures of each type of enzyme filament, as well as the roles the structures play in enzyme regulation and in biology. Where it is known or hypothesized, the advantages conferred by enzyme filamentation are reviewed. Finally, the similarities, differences, and comparison to the SgrAI system are also highlighted. 2 Contents INTRODUCTION…………………………………………………………..4 STRUCTURALLY CHARACTERIZED ENZYME FILAMENTS…….5 Acetyl CoA Carboxylase (ACC)……………………………………………………………………5 Phosphofructokinase (PFK)……………………………………………………………………….6 -
Mtor REGULATES AURORA a VIA ENHANCING PROTEIN STABILITY
mTOR REGULATES AURORA A VIA ENHANCING PROTEIN STABILITY Li Fan Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Doctor of Philosophy in the Department of Biochemistry and Molecular Biology, Indiana University December 2013 Accepted by the Graduate Faculty, of Indiana University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Lawrence A. Quilliam, Ph.D., Chair Doctoral Committee Simon J. Atkinson, Ph.D. Mark G. Goebl, Ph.D. October 22, 2013 Maureen A. Harrington, Ph.D. Ronald C. Wek, Ph.D. ii © 2013 Li Fan iii DEDICATION I dedicate this thesis to my family: to my parents, Xiu Zhu Fan and Shu Qin Yang, who have been loving, supporting, and encouraging me from the beginning of my life; to my husband Fei Huang, who provided unconditional support and encouragement through these years; to my son, David Yan Huang, who has made my life highly enjoyable and meaningful. iv ACKNOWLEDGMENTS I sincerely thank my mentor Dr. Lawrence Quilliam for his guidance, motivation, support, and encouragement during my dissertation work. His passion for science and the scientific and organizational skills I have learned from Dr. Quilliam made it possible for me to achieve this accomplishment. Many thanks to Drs. Ron Wek, Mark Goebl, Maureen Harrington, and Simon Atkinson for serving on my committee and providing constructive suggestions and technical advice during my Ph.D. program. I have had a pleasurable experience working with all the people in our laboratory. Thanks Drs. Justin Babcock and Sirisha Asuri, and Mr. -
Covalent Aurora a Regulation by the Metabolic Integrator Coenzyme A
bioRxiv preprint doi: https://doi.org/10.1101/469585; this version posted November 14, 2018. 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. Covalent Aurora A regulation by the metabolic integrator coenzyme A Yugo Tsuchiya1#, Dominic P Byrne2#, Selena G Burgess3#, Jenny Bormann4, Jovana Bakovic1, Yueyan Huang1, Alexander Zhyvoloup1, Sew Peak-Chew5, Trang Tran6, Fiona Bellany6, Alethea Tabor6, AW Edith Chan7, Lalitha Guruprasad8, Oleg Garifulin9, Valeriy Filonenko9, Samantha Ferries10, Claire E Eyers10, John Carroll4^, Mark Skehel5, Richard Bayliss3*, Patrick A Eyers2* and Ivan Gout1,9* 1Department of Structural and Molecular Biology, University College London, London WC1E 6BT, UK 2Department of Biochemistry, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK 3School of Molecular and Cellular Biology, Astbury Centre for Structural and Molecular Biology, University of Leeds, Leeds LS2 9JT, UK 4Department of Cell and Developmental Biology, University College London, London WC1E 6BT, UK 5MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK 6Department of Chemistry, University College London, London WC1E 6BT, UK 7Wolfson Institute for Biomedical Research, University College London, London WC1E 6BT, UK 8School of Chemistry, University of Hyderabad, Hyderabad 500 046, India 9Department of Cell -
Kinase-Targeted Cancer Therapies: Progress, Challenges and Future Directions Khushwant S
Bhullar et al. Molecular Cancer (2018) 17:48 https://doi.org/10.1186/s12943-018-0804-2 REVIEW Open Access Kinase-targeted cancer therapies: progress, challenges and future directions Khushwant S. Bhullar1, Naiara Orrego Lagarón2, Eileen M. McGowan3, Indu Parmar4, Amitabh Jha5, Basil P. Hubbard1 and H. P. Vasantha Rupasinghe6,7* Abstract The human genome encodes 538 protein kinases that transfer a γ-phosphate group from ATP to serine, threonine, or tyrosine residues. Many of these kinases are associated with human cancer initiation and progression. The recent development of small-molecule kinase inhibitors for the treatment of diverse types of cancer has proven successful in clinical therapy. Significantly, protein kinases are the second most targeted group of drug targets, after the G-protein- coupled receptors. Since the development of the first protein kinase inhibitor, in the early 1980s, 37 kinase inhibitors have received FDA approval for treatment of malignancies such as breast and lung cancer. Furthermore, about 150 kinase-targeted drugs are in clinical phase trials, and many kinase-specific inhibitors are in the preclinical stage of drug development. Nevertheless, many factors confound the clinical efficacy of these molecules. Specific tumor genetics, tumor microenvironment, drug resistance, and pharmacogenomics determine how useful a compound will be in the treatment of a given cancer. This review provides an overview of kinase-targeted drug discovery and development in relation to oncology and highlights the challenges and future potential for kinase-targeted cancer therapies. Keywords: Kinases, Kinase inhibition, Small-molecule drugs, Cancer, Oncology Background Recent advances in our understanding of the fundamen- Kinases are enzymes that transfer a phosphate group to a tal molecular mechanisms underlying cancer cell signaling protein while phosphatases remove a phosphate group have elucidated a crucial role for kinases in the carcino- from protein. -
Cell Cycle Genes 243831 at MAPK6
Identificación de vulnerabilidades en tumores sólidos: ¿aportes hacia una medicina personalizada? Alberto Ocana Albacete University Hospital Salamanca May 19th, 2016 WHAT IS PERSONALIZED MEDICINE? Molecular alteration------------targeted agents---------companion diagnostic Drugs with companion diagnostic Ocana A et al, Oncotarget 2016 Meta-analyses companion vs non-companion diagnostics PFS OS Meta-analyses of toxicities • Methods to identify oncogenic and non-oncogenic vulnerabilities • How to evaluate novel agents against them Our personal experience Synthetic Lethality Interactions Ocana A and Pandiella A, Personalized therapies in the cancr omics era. Mol Cancer 2010 Summary Mutation and copy number analyses Phospho-kinase profiling Transcriptomic analyses Synthetic Lethality Interactions- Evaluation of new drugs “Academic iniciatives: Drug developer” software as a tool Mutation and copy number analyses No very useful if not linked with a functional evaluation in a specific genetic context A somatic cancer driver event may depend on the constellation of polymorphisms already present in an individual’s germline . (Germline variants single nucleotide polymorphisms, SNPs). But it can be useful for: Clonal evolution of tumors Heterogeneity of tumors Monitor response to treatments and identify mechanism of resistance Single cell sequencing Circulating tumor DNA As a part of a global study; pathway level alterations Example: Evaluation of mutations in ER using circulating DNA in patients treated with palbociclib + hormonotherapy Phospho-kinase -
Figure S1. Reverse Transcription‑Quantitative PCR Analysis of ETV5 Mrna Expression Levels in Parental and ETV5 Stable Transfectants
Figure S1. Reverse transcription‑quantitative PCR analysis of ETV5 mRNA expression levels in parental and ETV5 stable transfectants. (A) Hec1a and Hec1a‑ETV5 EC cell lines; (B) Ishikawa and Ishikawa‑ETV5 EC cell lines. **P<0.005, unpaired Student's t‑test. EC, endometrial cancer; ETV5, ETS variant transcription factor 5. Figure S2. Survival analysis of sample clusters 1‑4. Kaplan Meier graphs for (A) recurrence‑free and (B) overall survival. Survival curves were constructed using the Kaplan‑Meier method, and differences between sample cluster curves were analyzed by log‑rank test. Figure S3. ROC analysis of hub genes. For each gene, ROC curve (left) and mRNA expression levels (right) in control (n=35) and tumor (n=545) samples from The Cancer Genome Atlas Uterine Corpus Endometrioid Cancer cohort are shown. mRNA levels are expressed as Log2(x+1), where ‘x’ is the RSEM normalized expression value. ROC, receiver operating characteristic. Table SI. Clinicopathological characteristics of the GSE17025 dataset. Characteristic n % Atrophic endometrium 12 (postmenopausal) (Control group) Tumor stage I 91 100 Histology Endometrioid adenocarcinoma 79 86.81 Papillary serous 12 13.19 Histological grade Grade 1 30 32.97 Grade 2 36 39.56 Grade 3 25 27.47 Myometrial invasiona Superficial (<50%) 67 74.44 Deep (>50%) 23 25.56 aMyometrial invasion information was available for 90 of 91 tumor samples. Table SII. Clinicopathological characteristics of The Cancer Genome Atlas Uterine Corpus Endometrioid Cancer dataset. Characteristic n % Solid tissue normal 16 Tumor samples Stagea I 226 68.278 II 19 5.740 III 70 21.148 IV 16 4.834 Histology Endometrioid 271 81.381 Mixed 10 3.003 Serous 52 15.616 Histological grade Grade 1 78 23.423 Grade 2 91 27.327 Grade 3 164 49.249 Molecular subtypeb POLE 17 7.328 MSI 65 28.017 CN Low 90 38.793 CN High 60 25.862 CN, copy number; MSI, microsatellite instability; POLE, DNA polymerase ε.