Investigating the Role of DDX28 As a Novel Regulator of the Hypoxic Cap- Dependent Translation Initiation Complex

Total Page:16

File Type:pdf, Size:1020Kb

Investigating the Role of DDX28 As a Novel Regulator of the Hypoxic Cap- Dependent Translation Initiation Complex Investigating the role of DDX28 as a novel regulator of the hypoxic cap- dependent translation initiation complex by Sonia Evagelou A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Masters of Science in Molecular and Cellular Biology Guelph, Ontario, Canada © Sonia Evagelou, September, 2018 ABSTRACT INVESTIGATING THE ROLE OF DDX28 AS A NOVEL REGULATOR OF THE HYPOXIC CAP-DEPENDENT TRANSLATION INITIATION COMPLEX Sonia Evagelou Advisor: University of Guelph, 2018 Dr. James Uniacke The most common form of translation initiation in eukaryotes requires recruitment of the eIF4F complex to the m7GTP cap located at the 5’ end of all cellular mRNAs. eIF4F is composed of the cap-binding factor eIF4E, the RNA helicase eIF4A, and the scaffolding protein eIF4G, which together function to initiate translation. However, in response to hypoxia, a common feature of several physiological and pathological processes, eIF4E is inhibited. Hypoxic cells maintain translation of select transcripts by utilizing the eIF4E homologue, eIF4E2, as an alternative cap- binding protein as part of the eIF4FH complex. We have identified DDX28 as a novel regulator of eIF4FH by demonstrating that knocking-down DDX28 results in an overall increase in cap- bound eIF4E2 and eIF4E2-mediated translation under hypoxia. Additionally, depletion of DDX28 confers a proliferative advantage to cells grown in hypoxic conditions, which we suspect is a consequence of the translational upregulation of a subset of hypoxic mRNAs. Dedication In loving memory of my late grandmother. Brevis a naturâ nobis vita data est; at memoria bene redditæ vitæ est sempiterna. iii Acknowledgements First and foremost I would like to thank my advisor Dr. James Uniacke for his excellent mentorship over the past several years, in addition to providing me with the liberty to explore this project as an independent researcher. My development as a scientist in his lab has far exceeded what I imagined was possible in such a short period of time, and the knowledge I have gained will not only benefit me in the field of research, but in everyday life as well. I would also like to thank Erin Specker whose extensive help and generosity has contributed significantly to my positive experience in the lab. My gratitude also extends to past and present members of the lab: Sara Timpano, Dr. Phil Medeiros, Gaelan Melanson, Andrea Brumwell, Sydney Pascetta, Nicole Kelly, Joszef Varga, Brianna Guild and Olivia Bebenek for their continued assistance and friendship over the years. To my advisory committee, Dr. Ray Lu and Dr. Jnanankur Bag, thank you for your insight and advice throughout the course of my project. I would like to give a special thanks to my family for their incredible support throughout this journey, none of this would have been possible without you. Additionally, to my wonderful boyfriend Daniel Prevedel, thanks for always being a shoulder to cry on and letting me talk about my project for hours when no one else wanted to listen! iv Declaration of Work Performed Olivia Bebenek performed the hypoxic polysome profiling for RNA analysis and the normoxic and hypoxic polysome RT-PCR, and qPCR. Bromodeoxyuridine labeling experiments were performed by Erin Specker. All other experiments were performed by the author. v Table of Contents ABSTRACT .................................................................................................................................. II DEDICATION ............................................................................................................................ III ACKNOWLEDGEMENTS ....................................................................................................... IV DECLARATION OF WORK PERFORMED .......................................................................... V LIST OF FIGURES ................................................................................................................. VIII LIST OF ABBREVIATIONS .................................................................................................... IX Chapter 1. Introduction ............................................................................................................... 1 1.1 Hypoxia in Development and Disease ................................................................................. 1 1.2 The HIF Program ................................................................................................................. 2 1.3 Cap-Dependent Translation Initiation and eIF4F ................................................................ 8 1.4 mTOR and Hypoxic Regulation of eIF4F .......................................................................... 11 1.5 IRES-Mediated Translation ............................................................................................... 14 1.6 Hypoxic Cap-Dependent Translation and eIF4FH ............................................................. 15 1.7 Regulation of eIF4FH by DDX28 ....................................................................................... 17 1.8 Hypothesis and Research Objectives ................................................................................. 22 Chapter 2. Materials and Methods ............................................................................................ 24 2.1 Cell Culture and Reagents .................................................................................................. 24 2.2 Generation of Stable Cell Lines ......................................................................................... 24 2.2.1 DDX28 Knockdown Cells ....................................................................................................... 24 2.2.2 DDX28-FLAG Cells ................................................................................................................ 25 2.3 Western Blot Analysis and Antibodies .............................................................................. 25 2.4 Polysome Profiling ............................................................................................................. 26 2.4.1 Polysome Protein Analysis ...................................................................................................... 27 2.4.2 Polysome RNA Isolation, RT-PCR, and quantitative PCR ..................................................... 27 2.5 GFP-Trap Immunoprecipitation ......................................................................................... 28 2.6 FLAG Immunoprecipitation ............................................................................................... 29 2.7 Analysis of Cap-Binding Proteins ...................................................................................... 30 2.8 Crystal Violet Growth Curves ............................................................................................ 31 vi 2.9 Bromodeoxyuridine Labeling ............................................................................................ 32 Chapter 3. Results ....................................................................................................................... 33 3.1 HIF-2α mediates the interaction between DDX28 and eIF4E2 ......................................... 33 3.2 Knockdown of DDX28 enhances the cap-binding affinity of eIF4E2 ............................... 35 3.3 Knockdown of DDX28 increases eIF4E2-mediated translation ........................................ 38 3.3 Knockdown of DDX28 increases translation of EGFR mRNA ......................................... 42 3.4 Knockdown of DDX28 Increases Cell Viability in Hypoxia ............................................. 44 3.5 Knockdown of DDX28 Increases Cell Proliferation Rates in Hypoxia ............................. 46 Chapter 4. Discussion ................................................................................................................. 49 Chapter 5. Conclusions and Future Directions ........................................................................ 61 References .................................................................................................................................... 63 vii List of Figures Figure 1. Alignment of HIF-1α and HIF-2α structural domains...................................................5 Figure 2. Overview of the regulation of HIF-α in response to changing oxygen concentrations..6 Figure 3. Proposed model of the eukaryotic translation initiation complex mediating cap- dependent translation during normoxic and hypoxic conditions...................................................12 Figure 4. Immunoprecipitation of FLAG-eIF4E2 from normoxic and hypoxic U-87 MG cell lysates............................................................................................................................................18 Figure 5. Schematic diagram of the conserved motifs of the DEAD-box protein superfamily...19 Figure 6. Standard workflow of a cap-affinity assay ...................................................................22 Figure 7. Isolating polyribosomes using polysome profiling ......................................................23 Figure 8. DDX28 interacts with HIF-2α in U-87 MG .................................................................34 Figure 9. Knockdown of DDX28 increases the cap-binding affinity of eIF4E2 in U-87 MG.....36 Figure 10. Knockdown of DDX28 in U-87 MG significantly increases polysome-associated eIF4E2 in hypoxia.........................................................................................................................40
Recommended publications
  • 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.
    [Show full text]
  • 4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
    Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4).
    [Show full text]
  • WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
    (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US).
    [Show full text]
  • Comparative Sequence and Structure Analysis of Eif1a and Eif1ad Jielin Yu and Assen Marintchev*
    Yu and Marintchev BMC Structural Biology (2018) 18:11 https://doi.org/10.1186/s12900-018-0091-6 RESEARCHARTICLE Open Access Comparative sequence and structure analysis of eIF1A and eIF1AD Jielin Yu and Assen Marintchev* Abstract Background: Eukaryotic translation initiation factor 1A (eIF1A) is universally conserved in all organisms. It has multiple functions in translation initiation, including assembly of the ribosomal pre-initiation complexes, mRNA binding, scanning, and ribosomal subunit joining. eIF1A binds directly to the small ribosomal subunit, as well as to several other translation initiation factors. The structure of an eIF1A homolog, the eIF1A domain-containing protein (eIF1AD) was recently determined but its biological functions are unknown. Since eIF1AD has a known structure, as well as a homolog, whose structure and functions have been extensively studied, it is a very attractive target for sequence and structure analysis. Results: Structure/sequence analysis of eIF1AD found significant conservation in the surfaces corresponding to the ribosome-binding surfaces of its paralog eIF1A, including a nearly invariant surface-exposed tryptophan residue, which plays an important role in the interaction of eIF1A with the ribosome. These results indicate that eIF1AD may bind to the ribosome, similar to its paralog eIF1A, and could have roles in ribosome biogenenesis or regulation of translation. We identified conserved surfaces and sequence motifs in the folded domain as well as the C-terminal tail of eIF1AD, which are likely protein-protein interaction sites. The roles of these regions for eIF1AD function remain to be determined. We have also identified a set of trypanosomatid-specific surface determinants in eIF1A that could be a promising target for development of treatments against these parasites.
    [Show full text]
  • Eef3 Promotes Late Stages of Trna Translocation on the Ribosome
    bioRxiv preprint doi: https://doi.org/10.1101/2020.07.01.182105; this version posted July 1, 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. eEF3 promotes late stages of tRNA translocation on the ribosome Namit Ranjan1,6,*, Agnieszka A. Pochopien2,3,6, Colin Chih-Chien Wu4,6, Bertrand Beckert3, Sandra Blanchet1, Rachel Green4,5,*, Marina V. Rodnina1,*, Daniel N. Wilson2,3,7,* 1 Department of Physical Biochemistry, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany. 2 Gene Center, Department for Biochemistry and Center for integrated Protein Science Munich (CiPSM), University of Munich, Feodor-Lynenstr. 25, 81377 Munich, Germany 3 Institute for Biochemistry and Molecular Biology, University of Hamburg, Martin- Luther-King-Platz 6, 20146 Hamburg, Germany 4 Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, MD21205 Baltimore, United States. 5 Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, MD21205 Baltimore, United States. 6 These authors contributed equally *Correspondence: [email protected], [email protected], [email protected], [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.01.182105; this version posted July 1, 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.
    [Show full text]
  • The H Subunit of Eif3 Promotes Reinitiation Competence During Translation of Mrnas Harboring Upstream Open Reading Frames
    Downloaded from rnajournal.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press The h subunit of eIF3 promotes reinitiation competence during translation of mRNAs harboring upstream open reading frames BIJOYITA ROY,1 JUSTIN N. VAUGHN,1 BYUNG-HOON KIM,1 FUJUN ZHOU,2 MICHAEL A. GILCHRIST,3 and ALBRECHT G. VON ARNIM1,2 1Department of Biochemistry and Cellular and Molecular Biology, The University of Tennessee, Knoxville, Tennessee 37996, USA 2Graduate Program in Genome Science and Technology, The University of Tennessee, Knoxville, Tennessee 37996, USA 3Department of Ecology and Evolutionary Biology, The University of Tennessee, Knoxville, Tennessee 37996, USA ABSTRACT Upstream open reading frames (uORFs) are protein coding elements in the 59 leader of messenger RNAs. uORFs generally inhibit translation of the main ORF because ribosomes that perform translation elongation suffer either permanent or conditional loss of reinitiation competence. After conditional loss, reinitiation competence may be regained by, at the minimum, reacquisition of a fresh methionyl-tRNA. The conserved h subunit of Arabidopsis eukaryotic initiation factor 3 (eIF3) mitigates the inhibitory effects of certain uORFs. Here, we define more precisely how this occurs, by combining gene expres- sion data from mutated 59 leaders of Arabidopsis AtbZip11 (At4g34590) and yeast GCN4 with a computational model of translation initiation in wild-type and eif3h mutant plants. Of the four phylogenetically conserved uORFs in AtbZip11, three are inhibitory to translation, while one is anti-inhibitory. The mutation in eIF3h has no major effect on uORF start codon recognition. Instead, eIF3h supports efficient reinitiation after uORF translation. Modeling suggested that the permanent loss of reinitiation competence during uORF translation occurs at a faster rate in the mutant than in the wild type.
    [Show full text]
  • Ribosome and Translational Control in Stem Cells
    cells Review Ribosome and Translational Control in Stem Cells Mathieu Gabut 1,2 , Fleur Bourdelais 1,2 and Sébastien Durand 1,2,* 1 Equipe ‘Transcriptome Diversity in Stem Cells’, Cancer Cell Plasticity Department, INSERM 1052, CNRS 5286, Cancer Research Center of Lyon, Centre Léon Bérard, 69008 Lyon, France; [email protected] (M.G.); fl[email protected] (F.B.) 2 Université Claude Bernard Lyon 1, 69100 Villeurbanne, France * Correspondence: [email protected]; Tel.: +33-469-856-092 Received: 15 January 2020; Accepted: 17 February 2020; Published: 21 February 2020 Abstract: Embryonic stem cells (ESCs) and adult stem cells (ASCs) possess the remarkable capacity to self-renew while remaining poised to differentiate into multiple progenies in the context of a rapidly developing embryo or in steady-state tissues, respectively. This ability is controlled by complex genetic programs, which are dynamically orchestrated at different steps of gene expression, including chromatin remodeling, mRNA transcription, processing, and stability. In addition to maintaining stem cell homeostasis, these molecular processes need to be rapidly rewired to coordinate complex physiological modifications required to redirect cell fate in response to environmental clues, such as differentiation signals or tissue injuries. Although chromatin remodeling and mRNA expression have been extensively studied in stem cells, accumulating evidence suggests that stem cell transcriptomes and proteomes are poorly correlated and that stem cell properties require finely tuned protein synthesis. In addition, many studies have shown that the biogenesis of the translation machinery, the ribosome, is decisive for sustaining ESC and ASC properties. Therefore, these observations emphasize the importance of translational control in stem cell homeostasis and fate decisions.
    [Show full text]
  • RNA-Seq Transcriptome Reveals Different Molecular Responses
    Zhao et al. BMC Genomics (2020) 21:475 https://doi.org/10.1186/s12864-020-06885-4 RESEARCH ARTICLE Open Access RNA-Seq transcriptome reveals different molecular responses during human and mouse oocyte maturation and fertilization Zheng-Hui Zhao1,2, Tie-Gang Meng1,3, Ang Li1, Heide Schatten4, Zhen-Bo Wang1,2* and Qing-Yuan Sun1,3* Abstract Background: Female infertility is a worldwide concern and the etiology of infertility has not been thoroughly demonstrated. Although the mouse is a good model system to perform functional studies, the differences between mouse and human also need to be considered. The objective of this study is to elucidate the different molecular mechanisms underlying oocyte maturation and fertilization between human and mouse. Results: A comparative transcriptome analysis was performed to identify the differentially expressed genes and associated biological processes between human and mouse oocytes. In total, 8513 common genes, as well as 15, 165 and 6126 uniquely expressed genes were detected in human and mouse MII oocytes, respectively. Additionally, the ratios of non-homologous genes in human and mouse MII oocytes were 37 and 8%, respectively. Functional categorization analysis of the human MII non-homologous genes revealed that cAMP-mediated signaling, sister chromatid cohesin, and cell recognition were the major enriched biological processes. Interestingly, we couldn’t detect any GO categories in mouse non-homologous genes. Conclusions: This study demonstrates that human and mouse oocytes exhibit significant differences in gene expression profiles during oocyte maturation, which probably deciphers the differential molecular responses to oocyte maturation and fertilization. The significant differences between human and mouse oocytes limit the generalizations from mouse to human oocyte maturation.
    [Show full text]
  • Drosophila and Human Transcriptomic Data Mining Provides Evidence for Therapeutic
    Drosophila and human transcriptomic data mining provides evidence for therapeutic mechanism of pentylenetetrazole in Down syndrome Author Abhay Sharma Institute of Genomics and Integrative Biology Council of Scientific and Industrial Research Delhi University Campus, Mall Road Delhi 110007, India Tel: +91-11-27666156, Fax: +91-11-27662407 Email: [email protected] Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 Running head: Pentylenetetrazole mechanism in Down syndrome 1 Abstract Pentylenetetrazole (PTZ) has recently been found to ameliorate cognitive impairment in rodent models of Down syndrome (DS). The mechanism underlying PTZ’s therapeutic effect is however not clear. Microarray profiling has previously reported differential expression of genes in DS. No mammalian transcriptomic data on PTZ treatment however exists. Nevertheless, a Drosophila model inspired by rodent models of PTZ induced kindling plasticity has recently been described. Microarray profiling has shown PTZ’s downregulatory effect on gene expression in fly heads. In a comparative transcriptomics approach, I have analyzed the available microarray data in order to identify potential mechanism of PTZ action in DS. I find that transcriptomic correlates of chronic PTZ in Drosophila and DS counteract each other. A significant enrichment is observed between PTZ downregulated and DS upregulated genes, and a significant depletion between PTZ downregulated and DS dowwnregulated genes. Further, the common genes in PTZ Nature Precedings : hdl:10101/npre.2010.4330.1 Posted 5 Apr 2010 downregulated and DS upregulated sets show enrichment for MAP kinase pathway. My analysis suggests that downregulation of MAP kinase pathway may mediate therapeutic effect of PTZ in DS. Existing evidence implicating MAP kinase pathway in DS supports this observation.
    [Show full text]
  • Relevance of Translation Initiation in Diffuse Glioma Biology and Its
    cells Review Relevance of Translation Initiation in Diffuse Glioma Biology and its Therapeutic Potential Digregorio Marina 1, Lombard Arnaud 1,2, Lumapat Paul Noel 1, Scholtes Felix 1,2, Rogister Bernard 1,3 and Coppieters Natacha 1,* 1 Laboratory of Nervous System Disorders and Therapy, GIGA-Neurosciences Research Centre, University of Liège, 4000 Liège, Belgium; [email protected] (D.M.); [email protected] (L.A.); [email protected] (L.P.N.); [email protected] (S.F.); [email protected] (R.B.) 2 Department of Neurosurgery, CHU of Liège, 4000 Liège, Belgium 3 Department of Neurology, CHU of Liège, 4000 Liège, Belgium * Correspondence: [email protected] Received: 18 October 2019; Accepted: 26 November 2019; Published: 29 November 2019 Abstract: Cancer cells are continually exposed to environmental stressors forcing them to adapt their protein production to survive. The translational machinery can be recruited by malignant cells to synthesize proteins required to promote their survival, even in times of high physiological and pathological stress. This phenomenon has been described in several cancers including in gliomas. Abnormal regulation of translation has encouraged the development of new therapeutics targeting the protein synthesis pathway. This approach could be meaningful for glioma given the fact that the median survival following diagnosis of the highest grade of glioma remains short despite current therapy. The identification of new targets for the development of novel therapeutics is therefore needed in order to improve this devastating overall survival rate. This review discusses current literature on translation in gliomas with a focus on the initiation step covering both the cap-dependent and cap-independent modes of initiation.
    [Show full text]
  • Phosphorylation and Signal Transduction Pathways in Translational Control
    Downloaded from http://cshperspectives.cshlp.org/ on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Phosphorylation and Signal Transduction Pathways in Translational Control Christopher G. Proud Nutrition & Metabolism, South Australian Health & Medical Research Institute, North Terrace, Adelaide SA5000, Australia; and School of Biological Sciences, University of Adelaide, Adelaide SA5000, Australia Correspondence: [email protected] Protein synthesis, including the translation of specific messenger RNAs (mRNAs), is regulated by extracellular stimuli such as hormones and by the levels of certain nutrients within cells. This control involves several well-understood signaling pathways and protein kinases, which regulate the phosphorylation of proteins that control the translational machinery. These path- ways include the mechanistic target of rapamycin complex 1 (mTORC1), its downstream effectors, and the mitogen-activated protein (MAP) kinase (extracellular ligand-regulated kinase [ERK]) signaling pathway. This review describes the regulatory mechanisms that control translation initiation and elongation factors, in particular the effects of phosphoryla- tion on their interactions or activities. It also discusses current knowledge concerning the impact of these control systems on the translation of specific mRNAs or subsets of mRNAs, both in physiological processes and in diseases such as cancer. he control of protein synthesis plays key roles Accordingly, sophisticated control mecha- Tin cell growth and proliferation and in nisms exist to allow extracellular stimuli (e.g., many other processes, via shaping the cellular hormones, growth factors), intracellular metab- proteome. The importance of translational con- olites (essential amino acids, nucleotides) and trol is underscored, for example, by the lack of cues, such as energy status, to regulate protein concordance between the transcriptome and the synthesis.
    [Show full text]
  • Eukaryotic Initiation Factor 4A2 Promotes Experimental Metastasis
    Chen et al. Journal of Experimental & Clinical Cancer Research (2019) 38:196 https://doi.org/10.1186/s13046-019-1178-z RESEARCH Open Access Eukaryotic initiation factor 4A2 promotes experimental metastasis and oxaliplatin resistance in colorectal cancer Zhan-Hong Chen1,2†, Jing-Jing Qi1†, Qi-Nian Wu3†, Jia-Huan Lu1†, Ze-Xian Liu1, Yun Wang1, Pei-Shan Hu1, Ting Li1, Jin-Fei Lin1, Xiang-Yuan Wu2, Lei Miao1, Zhao-Lei Zeng1, Dan Xie3, Huai-Qiang Ju1, Rui-Hua Xu1* and Feng Wang1* Abstract Background: Deregulation of protein translation control is a hallmark of cancers. Eukaryotic initiation factor 4A2 (EIF4A2) is required for mRNA binding to ribosome and plays an important role in translation initiation. However, little is known about its functions in colorectal cancer (CRC). Methods: Analysis of CRC transcriptome data from TCGA identified that EIF4A2 was associated with poor prognosis. Immunohistochemistry study of EIF4A2 was carried out in 297 paired colorectal tumor and adjacent normal tissue samples. In vitro and in vivo cell-biological assays were performed to study the biological functions of EIF4A2 on experimental metastasis and sensitivity to oxaliplatin treatment. Bioinformatic prediction, chromatin immunoprecipitation (ChIP) and dual-luciferase reporter assay were carried out to unveil the transcription factor of EIF4A2 regulation. Results: EIF4A2 Expression is significantly higher in colorectal tumors. Multivariate analysis suggests EIF4A2 as an independent predictor of overall, disease-free and progression-free survival. Dysfunction of EIF4A2 by genetic knock-down or small-molecule inhibitor silvestrol dramatically inhibited CRC invasion and migration, sphere formation and enhanced sensitivity to oxaliplatin treatment in vitro and in vivo.
    [Show full text]