Eif5a Interacts Functionally with Eef2 in Yeast Camila A. O. Dias1; Ana Paula B. Gregio1; Danuza Rossi1; Fábio C. Galvão1;
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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. -
Eef2k) Natural Product and Synthetic Small Molecule Inhibitors for Cancer Chemotherapy
International Journal of Molecular Sciences Review Progress in the Development of Eukaryotic Elongation Factor 2 Kinase (eEF2K) Natural Product and Synthetic Small Molecule Inhibitors for Cancer Chemotherapy Bin Zhang 1 , Jiamei Zou 1, Qiting Zhang 2, Ze Wang 1, Ning Wang 2,* , Shan He 1 , Yufen Zhao 2 and C. Benjamin Naman 1,* 1 Li Dak Sum Yip Yio Chin Kenneth Li Marine Biopharmaceutical Research Center, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo 315800, China; [email protected] (B.Z.); [email protected] (J.Z.); [email protected] (Z.W.); [email protected] (S.H.) 2 Institute of Drug Discovery Technology, Ningbo University, Ningbo 315211, China; [email protected] (Q.Z.); [email protected] (Y.Z.) * Correspondence: [email protected] (N.W.); [email protected] (C.B.N.) Abstract: Eukaryotic elongation factor 2 kinase (eEF2K or Ca2+/calmodulin-dependent protein kinase, CAMKIII) is a new member of an atypical α-kinase family different from conventional protein kinases that is now considered as a potential target for the treatment of cancer. This protein regulates the phosphorylation of eukaryotic elongation factor 2 (eEF2) to restrain activity and inhibit the elongation stage of protein synthesis. Mounting evidence shows that eEF2K regulates the cell cycle, autophagy, apoptosis, angiogenesis, invasion, and metastasis in several types of cancers. The Citation: Zhang, B.; Zou, J.; Zhang, expression of eEF2K promotes survival of cancer cells, and the level of this protein is increased in Q.; Wang, Z.; Wang, N.; He, S.; Zhao, many cancer cells to adapt them to the microenvironment conditions including hypoxia, nutrient Y.; Naman, C.B. -
Supplementary Information
SUPPLEMENTARY INFORMATION Myeloperoxidase-derived 2-chlorohexadecanal is generated in mouse heart during endotoxemia and induces modification of distinct cardiomyocyte protein subsets in vitro Jürgen Prasch, Eva Bernhart, Helga Reicher, Manfred Kollroser, Gerald N. Rechberger, Chintan N. Koyani, Christopher Trummer, Lavinia Rech, Peter P. Rainer, Astrid Hammer, Ernst Malle, Wolfgang Sattler Table S1: Biological process gene ontology (GO) enrichment analysis. #term ID term description observed background false discovery matching proteins in network (labels) gene count gene count rate GO:0006457 protein folding 10 153 5.21e-09 Cct3,Cct5,Cct8,Fkbp4,Hsp90aa1,Hsp a1l,Hspb1,Pdia3,Pdia6,Tcp1 GO:0007339 binding of sperm to 6 36 4.02e-07 Aldoa,Cct3,Cct5,Cct8,Hspa1l,Tcp1 zona pellucida GO:0061077 chaperone-mediated 6 60 2.67e-06 Cct3,Cct5,Cct8,Fkbp4,Hspb1,Tcp1 protein folding GO:0017144 drug metabolic process 11 494 4.06e-06 Aldh2,Aldoa,Eno1,Gapdh,Hsp90aa1,I dh3a,Ldha,Ndufs2,Pgam1,Phgdh,Uq crc1 GO:2000573 positive regulation of 6 69 4.16e-06 Cct3,Cct5,Cct8,Ddx39b,Hsp90aa1,Tc DNA biosynthetic p1 process GO:0009987 cellular process 47 12459 4.22e-06 Alad,Alb,Aldh2,Aldoa,Cct3,Cct5,Cct8, Dctn2,Ddx39,Ddx39b,Des,Eef1g,Eef 2,Eif3f,Eif4a2,Eno1,Fdps,Fkbp4,Gap dh,Hnrnpl,Hsp90aa1,Hspa1l,Hspb1,I dh3a,Ldha,Lmna,Lyz1,Ndufs2,Pcna, Pdia3,Pdia6,Pgam1,Phgdh,Prph,Psm d13,Rpsa,Ruvbl2,Tcp1,Tuba3b,Tubal 3,Tubb3,Tubb6,Uap1l1,Uqcrc1,Uqcrc 2,Vim,Ywhab GO:1904851 positive regulation of 4 10 4.22e-06 Cct3,Cct5,Cct8,Tcp1 establishment of protein localization to telomere GO:0046031 -
Molecular Pharmacology of Cancer Therapy in Human Colorectal Cancer by Gene Expression Profiling1,2
[CANCER RESEARCH 63, 6855–6863, October 15, 2003] Molecular Pharmacology of Cancer Therapy in Human Colorectal Cancer by Gene Expression Profiling1,2 Paul A. Clarke,3 Mark L. George, Sandra Easdale, David Cunningham, R. Ian Swift, Mark E. Hill, Diana M. Tait, and Paul Workman Cancer Research UK Centre for Cancer Therapeutics, Institute of Cancer Research, Sutton, Surrey SM2 5NG [P. A. C., M. L. G., S. E., P. W.]; Department of Gastrointestinal Oncology, Royal Marsden Hospital, Sutton, Surrey [D. C., M. E. H., D. M. T.]; and Department of Surgery, Mayday Hospital, Croydon, Surrey [M. L. G., R. I. S.], United Kingdom ABSTRACT ment with a single dose of MMC4 and during a continuous infusion of 5FU. In this study, we report for the first time gene expression Global gene expression profiling has potential for elucidating the com- profiling in cancer patients before, and critically, during the period of plex cellular effects and mechanisms of action of novel targeted anticancer exposure to chemotherapy. We have demonstrated that the approach agents or existing chemotherapeutics for which the precise molecular is feasible, and we have detected a novel molecular response that mechanism of action may be unclear. In this study, decreased expression would not have been predicted from in vitro studies and that would of genes required for RNA and protein synthesis, and for metabolism were have otherwise been missed by conventional approaches. The results detected in rectal cancer biopsies taken from patients during a 5-fluorou- also suggest a possible new therapeutic approach. Overall our obser- racil infusion. Our observations demonstrate that this approach is feasible and can detect responses that may have otherwise been missed by con- vations suggest that gene expression profiling in response to treatment ventional methods. -
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. -
Regulation of Host Translational Machinery by African Swine Fever Virus
Regulation of Host Translational Machinery by African Swine Fever Virus Alfredo Castello´ ¤, Ana Quintas, Elena G. Sa´nchez, Prado Sabina, Marisa Nogal, Luis Carrasco, Yolanda Revilla* Centro de Biologı´a Molecular Severo Ochoa, CSIC-UAM, Universidad Auto´noma de Madrid, Madrid, Spain Abstract African swine fever virus (ASFV), like other complex DNA viruses, deploys a variety of strategies to evade the host’s defence systems, such as inflammatory and immune responses and cell death. Here, we analyse the modifications in the translational machinery induced by ASFV. During ASFV infection, eIF4G and eIF4E are phosphorylated (Ser1108 and Ser209, respectively), whereas 4E-BP1 is hyperphosphorylated at early times post infection and hypophosphorylated after 18 h. Indeed, a potent increase in eIF4F assembly is observed in ASFV-infected cells, which is prevented by rapamycin treatment. Phosphorylation of eIF4E, eIF4GI and 4E-BP1 is important to enhance viral protein production, but is not essential for ASFV infection as observed in rapamycin- or CGP57380-treated cells. Nevertheless, eIF4F components are indispensable for ASFV protein synthesis and virus spread, since eIF4E or eIF4G depletion in COS-7 or Vero cells strongly prevents accumulation of viral proteins and decreases virus titre. In addition, eIF4F is not only activated but also redistributed within the viral factories at early times of infection, while eIF4G and eIF4E are surrounding these areas at late times. In fact, other components of translational machinery such as eIF2a, eIF3b, eIF4E, eEF2 and ribosomal P protein are enriched in areas surrounding ASFV factories. Notably, the mitochondrial network is polarized in ASFV-infected cells co-localizing with ribosomes. -
Host Cell Factors Necessary for Influenza a Infection: Meta-Analysis of Genome Wide Studies
Host Cell Factors Necessary for Influenza A Infection: Meta-Analysis of Genome Wide Studies Juliana S. Capitanio and Richard W. Wozniak Department of Cell Biology, Faculty of Medicine and Dentistry, University of Alberta Abstract: The Influenza A virus belongs to the Orthomyxoviridae family. Influenza virus infection occurs yearly in all countries of the world. It usually kills between 250,000 and 500,000 people and causes severe illness in millions more. Over the last century alone we have seen 3 global influenza pandemics. The great human and financial cost of this disease has made it the second most studied virus today, behind HIV. Recently, several genome-wide RNA interference studies have focused on identifying host molecules that participate in Influen- za infection. We used nine of these studies for this meta-analysis. Even though the overlap among genes identified in multiple screens was small, network analysis indicates that similar protein complexes and biological functions of the host were present. As a result, several host gene complexes important for the Influenza virus life cycle were identified. The biological function and the relevance of each identified protein complex in the Influenza virus life cycle is further detailed in this paper. Background and PA bound to the viral genome via nucleoprotein (NP). The viral core is enveloped by a lipid membrane derived from Influenza virus the host cell. The viral protein M1 underlies the membrane and anchors NEP/NS2. Hemagglutinin (HA), neuraminidase Viruses are the simplest life form on earth. They parasite host (NA), and M2 proteins are inserted into the envelope, facing organisms and subvert the host cellular machinery for differ- the viral exterior. -
The Role of C-Myc in Regulation of Translation Initiation
Oncogene (2004) 23, 3217–3221 & 2004 Nature Publishing Group All rights reserved 0950-9232/04 $25.00 www.nature.com/onc The role of c-myc in regulation of translation initiation Emmett V Schmidt*,1,2 1Cancer Research Center at Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; 2MassGeneral Hospital for Children, 55 Fruit Street; Boston, MA 02114, USA Translation initiation is important for the regulation of grow to aminimum size threshold, this property is both cell growth and cell division. It is uniquely poised to fundamental to both normal and malignant growth coordinate overall cell proliferation by its effects on both (Baserga, 1985). When the minimally perturbing set of growth and division. A number of translation initiation genes used to fully transform human cells was more factors are transcriptional targets of c-myc in a variety of carefully analysed, it became apparent that resistance assays. In particular, the mRNA cap-binding protein to nutrient deprivation was an equal partner to all of eIF4E has a myc-binding sequence in its promoter that is the other genetic changes required in malignant cells myc responsive in reporter assays and contains a high- (Hahn et al., 2002). Despite the simplicity of the logic affinity myc-binding site in chromosome immunoprecipi- that cells must grow in order to proliferate, relatively tation experiments. Several differential expression screens less attention has been given to studies of the genetic have demonstrated altered levels of eIF4E, along with mechanisms by which cell growth is perturbed several other translation initiation factors, in response to compared to other aspects of cellular proliferation. -
Trans-Acting Factors Affecting Retroviral Recoding
TRANS-ACTING FACTORS AFFECTING RETROVIRAL RECODING Lisa Green Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2012 © 2012 Lisa Green All Rights Reserved Thesis Abstract Trans-Acting Factors Affecting Retroviral Recoding Lisa Green The production of retroviral enzymes requires a translational recoding event which subverts normal decoding, either by direct suppression of termination with the insertion of an amino acid at a stop codon (readthrough), or by an alteration of the reading frame of the mRNA (frameshift). It has been determined that retroviral readthrough and frameshift require cis-acting factors in the mRNA to stimulate recoding on the eukaryotic ribosome. Here we investigate the affects of trans-acting factors on recoding, primarily in the context of the MoMLV gag-pol junction. We report the effects of a host protein, Large Ribosomal Protein Four (RPL4), on the efficiency of recoding. Using a dual luciferase reporter assay, we show that transfection of cells with an RPL4 cDNA expression construct enhances recoding efficiency in a dose-dependent manner. The increase in the frequency of recoding can be more than 2-fold, adequate to disrupt normal viral production. This effect is cell line specific, and appears to be distinct to RPL4 among ribosomal proteins. The RPL4 increase occurs with both retroviral readthrough and frameshift sequences, and even at other viral readthrough regions that do not involve RNA secondary structures. We show that RPL4 effects are negated by release factor over-expression, and that RPL4 will increase readthrough above the levels of a hyperactive mutant and in addition to G418. -
Overview of Research on Fusion Genes in Prostate Cancer
2011 Review Article Overview of research on fusion genes in prostate cancer Chunjiao Song1,2, Huan Chen3 1Medical Research Center, Shaoxing People’s Hospital, Shaoxing University School of Medicine, Shaoxing 312000, China; 2Shaoxing Hospital, Zhejiang University School of Medicine, Shaoxing 312000, China; 3Key Laboratory of Microorganism Technology and Bioinformatics Research of Zhejiang Province, Zhejiang Institute of Microbiology, Hangzhou 310000, China Contributions: (I) Conception and design: C Song; (II) Administrative support: Shaoxing Municipal Health and Family Planning Science and Technology Innovation Project (2017CX004) and Shaoxing Public Welfare Applied Research Project (2018C30058); (III) Provision of study materials or patients: None; (IV) Collection and assembly of data: C Song; (V) Data analysis and interpretation: H Chen; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors. Correspondence to: Chunjiao Song. No. 568 Zhongxing Bei Road, Shaoxing 312000, China. Email: [email protected]. Abstract: Fusion genes are known to drive and promote carcinogenesis and cancer progression. In recent years, the rapid development of biotechnologies has led to the discovery of a large number of fusion genes in prostate cancer specimens. To further investigate them, we summarized the fusion genes. We searched related articles in PubMed, CNKI (Chinese National Knowledge Infrastructure) and other databases, and the data of 92 literatures were summarized after preliminary screening. In this review, we summarized approximated 400 fusion genes since the first specific fusion TMPRSS2-ERG was discovered in prostate cancer in 2005. Some of these are prostate cancer specific, some are high-frequency in the prostate cancer of a certain ethnic group. This is a summary of scientific research in related fields and suggests that some fusion genes may become biomarkers or the targets for individualized therapies. -
PDF of Eric Lecuyer's Talk
Gene Expression Regulation in Subcellular Space Eric Lécuyer, PhD Associate Professor and Axis Director, RNA Biology Lab Systems Biology Axis, IRCM Associate Research Professor, Département de Biochimie Université de Montréal Associate Member, Division of Experimental Medicine, McGill University VizBi 2018 Meeting The Central Dogma in Subcellular Space Crick, Nature 227: 561 (1970) Biological Functions of Localized mRNAs mRNA Protein Extracellular Vesicles Cody et al. (2013). WIREs Dev Biol Raposo and Stoorvogel (2013) J Cell Biol Cis-Regulatory RNA Localization Elements Van De Bor and Davis, 2004. Curr.Opin.Cell.Biol. Global Screen for Localized mRNAs in Drosophila http://fly-fish.ccbr.utoronto.ca (Lécuyer et al. Cell, 2007) Diverse RNA Subcellular Localization Patterns RNA DNA Correlations in mRNA-Protein Localization Localization Patterns Terms Ontology Gene RNA Protein DNA (Lécuyer et al. Cell, 2007) Models and Approaches to Decipher the mRNA Localization Pathways Drosophila & RNA/Protein High-Content Screening Human Cell Models Imaging & RNA Sequencing + + Cell Fractionation and RNA Sequencing (CeFra-seq) to Study Global RNA Distribution Cell Fractionation-Seq to Study RNA Localization RNA and Protein Extraction, RiboDepletion or PolyA+ RNA-seq and MS profiling (K562, HepG2 and D17) Wang et al (2012) Cell https://www.encodeproject.org/ Lefebvre et al (2017) Methods Benoît Bouvrette et al (2018) RNA Interesting Examples of RNA Localization ANKRD52 (mRNA and ciRNA) Total Nuclear Cytosolic ciRNA Membrane Insoluble mRNA ANKRD52 DANCR -
Supplemental Material For
SUPPLEMENTAL MATERIAL FOR Coexpression network based on natural variation in human gene expression reveals gene interactions and functions Renuka Nayak, Michael Kearns, Richard S. Spielman, Vivian G. Cheung Supplementary Figure 1 Supplementary Table 1. Gene pairs whose correlations in gene expression levels differ significantly (Pc<0.05) among the 3 datasets. Supplementary Table 2. Gene pairs that are correlated in gene expression levels with |R|>0.5 and are found within 500 kb of each other. Supplementary Table 3. Predicted functions of poorly characterized genes based on the functions of neighboring genes. Supplementary Figure 1. Genes identified in genome-wide association studies (grey) and their neighbors in the network. Red and green connections refer to positive and negative correlations, respectively. MICB has been implicated in AIDS progression (PMID: 19115949) TNF has been implicated in AIDS progression (PMID: 19115949) LTB has been implicated in AIDS progression (PMID: 19115949) ZNF224 has been implicated in Alzheimer's disease (PMID: 19118814) NDUFAB1 has been implicated in bipolar disorder (PMID: 17554300) SFRS10 has been implicated in body mass index (PMID: 19079260) and weight (PMID: 19079260) CTNNBL1 has been implicated in bone mineral density (PMID: 17903296) TGFBR3 has been implicated in bone mineral density (PMID: 19249006) IGF2R has been implicated in brain lesion load (PMID: 19010793) LSP1 has been implicated in breast cancer (PMID: 17529967) FBN1 has been implicated in breast cancer (PMID: 17903305) GLG1 has been implicated in breast cancer (PMID: 18463975) SCHIP1 has been implicated in Celiac disease (PMID: 18311140) RGS1 has been implicated in Celiac disease (PMID: 18311140) FADS2 has been implicated in Cholesterol (total) (PMID: 19060911), HDL cholesterol (PMID: 19060911, 19060906), LDL cholesterol (PMID: 19060911, 19060910), and triglycerides (PMID: 19060906).