Non-AUG Translation: a New Start for Protein Synthesis in Eukaryotes

Total Page:16

File Type:pdf, Size:1020Kb

Non-AUG Translation: a New Start for Protein Synthesis in Eukaryotes Downloaded from genesdev.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW Non-AUG translation: a new start for protein synthesis in eukaryotes Michael G. Kearse and Jeremy E. Wilusz Department of Biochemistry and Biophysics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, 19104 USA Although it was long thought that eukaryotic translation cognate codons that differ from AUG by only one nucleo- almost always initiates at an AUG start codon, recent ad- tide (e.g., CUG, GUG, and UUG) are used. vancements in ribosome footprint mapping have revealed Given the strong evolutionary pressure that is observed that non-AUG start codons are used at an astonishing fre- across all organisms to use AUG start codons, it may ap- quency. These non-AUG initiation events are not simply pear at first glance that initiation events from non-AUG errors but instead are used to generate or regulate proteins codons represent intrinsic errors of the translation ma- with key cellular functions; for example, during develop- chinery. This idea is directly challenged by the fact that ment or stress. Misregulation of non-AUG initiation a number of endogenous and viral proteins with important events contributes to multiple human diseases, including functions are derived solely from non-AUG start codons cancer and neurodegeneration, and modulation of non- (Curran and Kolakofsky 1988; Dorn et al. 1990; Xiao AUG usage may represent a novel therapeutic strategy. et al. 1991; Chang and Wang 2004; Tang et al. 2004; Beer- It is thus becoming increasingly clear that start codon se- man and Jongens 2011; Ivanov et al. 2011). For example, lection is regulated by many trans-acting initiation fac- DAP5 (also called eukaryotic initiation factor 4G2 tors as well as sequence/structural elements within [eIF4G2] or NAT1) plays a critical role in internal ribo- messenger RNAs and that non-AUG translation has a pro- some entry site (IRES)-mediated translation and is initiat- found impact on cellular states. ed solely from a GUG start codon in mouse and human cells (Imataka et al. 1997; Takahashi et al. 2005; Lewis et al. 2008; Marash et al. 2008; Liberman et al. 2015). Like- Eukaryotic genomes encode thousands of proteins with wise, in yeast, UUG and ACG start codons are used to ini- important structural and regulatory roles, and a signifi- tiate translation of the GRS1 and ALA1 transfer RNA cant amount of cellular energy is dedicated to transcrip- (tRNA) synthetases, respectively (Chang and Wang tion of messenger RNAs (mRNAs) and their subsequent 2004; Tang et al. 2004). These non-AUG translation translation into protein. Errors in translation can result events represent only the tip of the iceberg, as ribosome in wasteful production of inactive or deleterious proteins profiling has recently revealed thousands of novel initia- that misfold, aggregate, lack regulation, or otherwise dis- tion events at non-AUG codons (Ingolia et al. 2009, rupt cellular fitness (Drummond and Wilke 2009). It is 2011). Interestingly, not all near-cognate start codons are thus critical that ribosomes initiate at the appropriate co- used with equal efficiency, with CUG generally being don, incorporate the appropriate amino acids into the most efficient, followed by GUG, ACG, and AUU (Table growing polypeptide chain, and terminate only at the ap- 1). It should be noted that there is significant variation propriate stop codon (Zaher and Green 2009; Rozov in these efficiency measurements across assays. This is et al. 2016). Protein-coding sequences have traditionally likely because in vitro translation assays are strongly in- been defined as uninterrupted ORFs that begin with the fluenced by how the lysates are prepared (e.g., those pre- universal AUG start codon and end with one of three pared by gel filtration may lack low-molecular-weight stop codons (UAA, UGA, and UAG). However, it has translation factors) and the ionic concentrations used been known since the 1980s that translation can initiate (Kozak 1989, 1990b). at codons other than AUG, albeit at a much lower efficien- While endogenous functional non-AUG start codons cy (Zitomer et al. 1984; Peabody 1987, 1989; Clements et may be more prevalent than previously appreciated, it al. 1988; Hann et al. 1988). In most of these cases, near- should not be dismissed that such codons typically per- form at a markedly reduced efficiency compared with © 2017 Kearse and Wilusz This article is distributed exclusively by Cold [Keywords: start codon; near-cognate; RAN translation; translation Spring Harbor Laboratory Press for the first six months after the full-issue initiation; eIF2A; eIF2D] publication date (see http://genesdev.cshlp.org/site/misc/terms.xhtml). Corresponding author: [email protected] After six months, it is available under a Creative Commons License (At- Article is online at http://www.genesdev.org/cgi/doi/10.1101/gad.305250. tribution-NonCommercial 4.0 International), as described at http:// 117. creativecommons.org/licenses/by-nc/4.0/. GENES & DEVELOPMENT 31:1717–1731 Published by Cold Spring Harbor Laboratory Press; ISSN 0890-9369/17; www.genesdev.org 1717 Downloaded from genesdev.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Kearse and Wilusz Table 1. Efficiency of non-AUG start codons in various assays Rabbit Rabbit Saccharomyces reticulocyte reticulocyte Wheat germ cerevisiae HEK293T cells Biological lysate (Peabody lysate (Wei extract (Peabody (Clements et al. Neurospora crassa (Ivanov et al. source 1989) et al. 2013) 1989) 1988) (Wei et al. 2013) 2010) Reporter Dihydrofolate Firefly Dihydrofolate β-Galactosidase Firefly luciferase Firefly luciferase used reductase luciferase reductase AUG 100 100 100 100 100 100 CUG 82 18 36 0.22 10 19 GUG 36 11 8 0.5 6 9 UUG 39 8 10 0.37 2.5 2 ACG 84 5 45 0.39 3.5 7 AUC 47 3 17 0.05 <0.5 2 AUU 67 6 14 0.38 1 3 AAG 14 0.01 3 0.02 <0.5 <0.5 AUA 59 5 30 0.29 3 3 AGG 17 0.02 3 0.04 <0.5 <0.5 AUG codons (Table 1). Thus, the purpose of this review is across the transcriptome as well as revealed key features not to suggest that most proteins within cells are derived that influence translation patterns (for review, see Ingolia from non-AUG start codons but to highlight how alterna- 2014; Brar and Weissman 2015; Andreev et al. 2017). For tive initiation codons can be used to increase protein iso- example, specific combinations of codons (often involving form diversity and impact cellular processes (Touriol et al. proline) can slow translation in both mammalian cells and 2003). Besides highlighting the widespread nature of non- yeast (Ingolia et al. 2011; Gamble et al. 2016). AUG translation events in eukaryotic cells, we discuss By treating cells with early elongation inhibitors that the trans-acting proteins and the features within mRNAs block 80S ribosomes after initiation but before the first that dictate start codon recognition. In some cases, a ca- translocation cycle, ribosome profiling can be used to nonical scanning mechanism of translation initiation ap- define translation start sites (Fig. 1). Lactimidomycin pears to be used, but there are also a number of alternative (which binds the exit site [E site] of the 60S subunit) factors (which can be induced by various stresses) that al- (Schneider-Poetsch et al. 2010) or harringtonine (which ter start codon preferences. As aberrant non-AUG transla- binds the aminoacyl site [A site] of the 60S subunit) (Fres- tion events are associated with, and likely drive, multiple no et al. 1977) are used for exactly this purpose, as they human diseases, including cancer and neurodegeneration have little, if any, effect on 80S ribosomes beyond the first (Zu et al. 2011; Sendoel et al. 2017), there exists the in- triguing possibility that modulating non-AUG translation events (e.g., using small molecule inhibitors) may have profound therapeutic effects. Cycloheximide Harringtonine Thousands of non-AUG codons can be used for translation initiation For many years, the identification of non-AUG start co- dons was often fortuitous and resulted from efforts aimed at cloning genes of interest. For example, Xiao et al. (1991) observed that endogenous TEAD1 (also called TEF-1) in HeLa cells did not comigrate in SDS-PAGE with in vitro translated TEAD1 that was initiated from the predicted Footprints AUG start codon. By pursuing this observation and using 80S Ribosome start stop start stop mutational analysis, it was revealed that endogenous TEAD1 uses solely an upstream AUU start codon. Ap- proaches like these are largely limited to single genes. Figure 1. Ribosome profiling can be used to reveal translation However, a genome-wide view of translation can now be initiation sites across the transcriptome. (Left) Treatment with cycloheximide (blue), which binds to the E site of the 60S subunit, provided by ribosome profiling, in which short mRNA pauses all elongating 80S ribosomes. The mapped ribosome foot- fragments that are protected by 80S ribosomes are purified prints thus typically cover the entire ORF. (Right) In contrast, har- and subjected to high-throughput sequencing (Ingolia ringtonine (red) binds to the A site of the 60S subunit and only et al. 2009, 2011; Ingolia 2010). Ribosome profiling, some- inhibits 80S ribosomes just after subunit joining at the start co- times referred to as Ribo-seq, has revolutionized our un- don. Mapped ribosome footprints from harringtonine treatment derstanding of where translating ribosomes are present are thus enriched for the start codon. 1718 GENES & DEVELOPMENT Downloaded from genesdev.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Regulated use of non-AUG start codons translocation step. Thousands of previously unannotated initiation events have now been identified in mouse em- eIF2 eIF5 GTP bryonic stem cells, ∼60% of which initiate at a non- Met 1 1A 43S AUG start codon (Ingolia et al.
Recommended publications
  • Molecular Genetic Analysis of Two Loci (Ity2 and Ity3) Involved in The
    Copyright Ó 2007 by the Genetics Society of America DOI: 10.1534/genetics.107.075523 Molecular Genetic Analysis of Two Loci (Ity2 and Ity3) Involved in the Host Response to Infection With Salmonella Typhimurium Using Congenic Mice and Expression Profiling Vanessa Sancho-Shimizu,*,† Rabia Khan,*,† Serge Mostowy,† Line Larivie`re,† Rosalie Wilkinson,† Noe´mie Riendeau,† Marcel Behr† and Danielle Malo*,†,‡,1 *Department of Human Genetics, McGill University, Montreal, Quebec H3G 1A4, Canada and †Center for the Study of Host Resistance, McGill University Health Center, Montreal, Quebec H3G 1A4, Canada and ‡Department of Medicine, McGill University, Montreal, Quebec H3G 1A4, Canada Manuscript received May 4, 2007 Accepted for publication July 27, 2007 ABSTRACT Numerous genes have been identified to date that contribute to the host response to systemic Sal- monella Typhimurium infection in mice. We have previously identified two loci, Ity2 and Ity3, that control survival to Salmonella infection in the wild-derived inbred MOLF/Ei mouse using a (C57BL/6J 3 MOLF/ Ei)F2cross. We validated the existence of these two loci by creating congenic mice carrying each quan- titative trait locus (QTL) in isolation. Subcongenic mice generated for each locus allowed us to define the critical intervals underlying Ity2 and Ity3. Furthermore, expression profiling was carried out with the aim of identifying differentially expressed genes within the critical intervals as potential candidate genes. Genomewide expression arrays were used to interrogate expression differences in the Ity2 congenics, leading to the identification of a new candidate gene (Havcr2, hepatitis A virus cellular receptor 2). Interval-specific oligonucleotide arrays were created for Ity3, identifying one potential candidate gene (Chi3l1, chitinase 3-like 1) to be pursued further.
    [Show full text]
  • Structure of the Mammalian 80S Initiation Complex with Initiation Factor 5B on HCV-IRES RNA
    ARTICLES Structure of the mammalian 80S initiation complex with initiation factor 5B on HCV-IRES RNA Hiroshi Yamamoto1,3, Anett Unbehaun1,3, Justus Loerke1, Elmar Behrmann1, Marianne Collier1, Jörg Bürger1,2, Thorsten Mielke1,2 & Christian M T Spahn1 The universally conserved eukaryotic initiation factor (eIF) 5B, a translational GTPase, is essential for canonical translation initiation. It is also required for initiation facilitated by the internal ribosomal entry site (IRES) of hepatitis C virus (HCV) RNA. Met eIF5B promotes joining of 60S ribosomal subunits to 40S ribosomal subunits bound by initiator tRNA (Met-tRNAi ). However, the exact molecular mechanism by which eIF5B acts has not been established. Here we present cryo-EM reconstructions of the Met mammalian 80S–HCV-IRES–Met-tRNAi –eIF5B–GMPPNP complex. We obtained two substates distinguished by the rotational state of the ribosomal subunits and the configuration of initiator tRNA in the peptidyl (P) site. Accordingly, a combination of Met conformational changes in the 80S ribosome and in initiator tRNA facilitates binding of the Met-tRNAi to the 60S P site and redefines the role of eIF5B as a tRNA-reorientation factor. Met Eukaryotic translation initiation is a highly regulated process within stable ribosomal binding of Met-tRNAi and elongation competence the translation cycle that proceeds via 48S and 80S initiation-complex in vivo11–13. However, the molecular mechanism linking eIF5B–GTP Met Met intermediates. At least 12 eIFs facilitate recruitment of Met-tRNAi hydrolysis and proper placement of Met-tRNAi in the ribosomal and mRNA to the ribosomal 40S subunit and regulate the interaction of P site is not known.
    [Show full text]
  • Analysis of Gene Expression Data for Gene Ontology
    ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins.
    [Show full text]
  • Table 2. Significant
    Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S.
    [Show full text]
  • Effects of Single Amino Acid Deficiency on Mrna Translation Are Markedly
    www.nature.com/scientificreports OPEN Efects of single amino acid defciency on mRNA translation are markedly diferent for methionine Received: 12 December 2016 Accepted: 4 May 2018 versus leucine Published: xx xx xxxx Kevin M. Mazor, Leiming Dong, Yuanhui Mao, Robert V. Swanda, Shu-Bing Qian & Martha H. Stipanuk Although amino acids are known regulators of translation, the unique contributions of specifc amino acids are not well understood. We compared efects of culturing HEK293T cells in medium lacking either leucine, methionine, histidine, or arginine on eIF2 and 4EBP1 phosphorylation and measures of mRNA translation. Methionine starvation caused the most drastic decrease in translation as assessed by polysome formation, ribosome profling, and a measure of protein synthesis (puromycin-labeled polypeptides) but had no signifcant efect on eIF2 phosphorylation, 4EBP1 hyperphosphorylation or 4EBP1 binding to eIF4E. Leucine starvation suppressed polysome formation and was the only tested condition that caused a signifcant decrease in 4EBP1 phosphorylation or increase in 4EBP1 binding to eIF4E, but efects of leucine starvation were not replicated by overexpressing nonphosphorylatable 4EBP1. This suggests the binding of 4EBP1 to eIF4E may not by itself explain the suppression of mRNA translation under conditions of leucine starvation. Ribosome profling suggested that leucine deprivation may primarily inhibit ribosome loading, whereas methionine deprivation may primarily impair start site recognition. These data underscore our lack of a full
    [Show full text]
  • Rps3/Us3 Promotes Mrna Binding at the 40S Ribosome Entry Channel
    Rps3/uS3 promotes mRNA binding at the 40S ribosome PNAS PLUS entry channel and stabilizes preinitiation complexes at start codons Jinsheng Donga, Colin Echeverría Aitkenb, Anil Thakura, Byung-Sik Shina, Jon R. Lorschb,1, and Alan G. Hinnebuscha,1 aLaboratory of Gene Regulation and Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892; and bLaboratory on the Mechanism and Regulation of Protein Synthesis, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892 Contributed by Alan G. Hinnebusch, January 24, 2017 (sent for review December 15, 2016; reviewed by Jamie H. D. Cate and Matthew S. Sachs) Met The eukaryotic 43S preinitiation complex (PIC) bearing Met-tRNAi rearrangement to PIN at both near-cognate start codons (e.g., in a ternary complex (TC) with eukaryotic initiation factor (eIF)2-GTP UUG) and cognate (AUG) codons in poor Kozak context; hence scans the mRNA leader for an AUG codon in favorable “Kozak” eIF1 must dissociate from the 40S subunit for start-codon rec- context. AUG recognition provokes rearrangement from an open ognition (Fig. 1A). Consistent with this, structural analyses of PIC conformation with TC bound in a state not fully engaged with partial PICs reveal that eIF1 and eIF1A promote rotation of the “ ” the P site ( POUT ) to a closed, arrested conformation with TC tightly 40S head relative to the body (2, 3), thought to be instrumental bound in the “P ” state. Yeast ribosomal protein Rps3/uS3 resides IN in TC binding in the POUT conformation, but that eIF1 physically in the mRNA entry channel of the 40S subunit and contacts mRNA Met clashes with Met-tRNAi in the PIN state (2, 4), and is both via conserved residues whose functional importance was unknown.
    [Show full text]
  • 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]
  • Detecting Translational Regulation by Change Point Analysis of Ribosome Profiling Datasets
    bioRxiv preprint doi: https://doi.org/10.1101/003210; this version posted March 5, 2014. 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 4.0 International license. Detecting translational regulation by change point analysis of ribosome profiling datasets Zupanic A1, Meplan C2, Grellscheid SN3, Mathers JC1, Kirkwood TBL1, Hesketh JE2, Shanley DP1 1Centre for Integrated Systems Biology of Ageing & Nutrition, Institute for Ageing and Health, Newcastle University, Newcastle-upon-Tyne, NE4 5PL, UK 2Institute for Cell and Molecular Biosciences and Human Nutrition Research Centre, Newcastle University, Newcastle-upon-Tyne, NE2 4HH, UK 3School of Biological and Biomedical Sciences, Durham University, Durham DH1 3LE, UK Running title: Translational regulation in ribosome profiles Keywords: ribosome profiling, translation regulation, change point, mathematical model Corresponding author: Daryl Shanley Centre for Integrated Systems Biology of Ageing & Nutrition, Institute for Ageing and Health, Newcastle University, NE4 5PL, UK Email: [email protected] Fax: +441912481101 1 bioRxiv preprint doi: https://doi.org/10.1101/003210; this version posted March 5, 2014. 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 4.0 International license. Abstract Ribo-Seq maps the location of translating ribosomes on mature mRNA transcripts. While ribosome density is constant along the length of the mRNA coding region, it can be altered by translational regulatory events.
    [Show full text]
  • Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
    www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g.
    [Show full text]
  • YEAST CELLS MAY USE AUC OR AAG AS INITIATION CODON for PROTEIN SYNTHESIS by OLE OLSEN
    Carlsberg Res. Commun. Vol. 52, p. 83-90, 1987 YEAST CELLS MAY USE AUC OR AAG AS INITIATION CODON FOR PROTEIN SYNTHESIS by OLE OLSEN Department of Physiology, Carlsberg Laboratory, Gamle Cadsbergvej 10, DK-2500 Copenhagen Valby Keywords: Recombinant DNA, translation initiation, secretion A yeast expression plasmid without an ATG codon for initiation of mouse a-amylase protein synthesis directs the synthesis and secretion of active enzyme indistinguishable from both native mouse a-amylase and amylase synthesized from plasmids with normal AT(3 initiation codons. The initiation of amylase synthesis directed by this plasmid is at either an AUC or an AAG codon. In either case the amino acid sequence of the hydrophobic core and peptidase cleaving region of the signal peptide are normal, and the protein translation remains in frame with the structural gene of the mouse a-amylase. 1. INTRODUCTION mal context for initiation was 6NNAUGGA A where Initiation of protein synthesis in eukaryotes is a purine in position -3 (three nucleotides up- catalysed by a relatively large number of specific stream of the AUG initiator codon) is most eukaryotic initation factors (eIFs) bringing highly conserved. about the formation of the 80S initiation com- Until recently it was generally believed that plex composed ofmRNA, an 80S ribosome and eukaryotic ribosomes initiate exclusively at met-tRNAi (l 3). Eukaryotic met-tRNAi differs AUG codons although it had been shown by from its prokaryotic counterpart by being asso- RAJBHANDARYand GHOSH (24) that yeast met- ciated with the 40S pre-initation complex before tRNAi may function with either AUG or GUG binding to mRNA (13).
    [Show full text]
  • At Elevated Temperatures, Heat Shock Protein Genes Show Altered Ratios Of
    EXPERIMENTAL AND THERAPEUTIC MEDICINE 22: 900, 2021 At elevated temperatures, heat shock protein genes show altered ratios of different RNAs and expression of new RNAs, including several novel HSPB1 mRNAs encoding HSP27 protein isoforms XIA GAO1,2, KEYIN ZHANG1,2, HAIYAN ZHOU3, LUCAS ZELLMER4, CHENGFU YUAN5, HAI HUANG6 and DEZHONG JOSHUA LIAO2,6 1Department of Pathology, Guizhou Medical University Hospital; 2Key Lab of Endemic and Ethnic Diseases of The Ministry of Education of China in Guizhou Medical University; 3Clinical Research Center, Guizhou Medical University Hospital, Guiyang, Guizhou 550004, P.R. China; 4Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA; 5Department of Biochemistry, China Three Gorges University, Yichang, Hubei 443002; 6Center for Clinical Laboratories, Guizhou Medical University Hospital, Guiyang, Guizhou 550004, P.R. China Received December 16, 2020; Accepted May 10, 2021 DOI: 10.3892/etm.2021.10332 Abstract. Heat shock proteins (HSP) serve as chaperones genes may engender multiple protein isoforms. These results to maintain the physiological conformation and function of collectively suggested that, besides increasing their expres‑ numerous cellular proteins when the ambient temperature is sion, certain HSP and associated genes also use alternative increased. To determine how accurate the general assumption transcription start sites to produce multiple RNA transcripts that HSP gene expression is increased in febrile situations is, and use alternative splicing of a transcript to produce multiple the RNA levels of the HSF1 (heat shock transcription factor 1) mature RNAs, as important mechanisms for responding to an gene and certain HSP genes were determined in three cell increased ambient temperature in vitro. lines cultured at 37˚C or 39˚C for three days.
    [Show full text]
  • Initiation Factor Eif5b Catalyzes Second GTP-Dependent Step in Eukaryotic Translation Initiation
    Initiation factor eIF5B catalyzes second GTP-dependent step in eukaryotic translation initiation Joon H. Lee*†, Tatyana V. Pestova†‡§, Byung-Sik Shin*, Chune Cao*, Sang K. Choi*, and Thomas E. Dever*¶ *Laboratory of Gene Regulation and Development, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892-2716; ‡Department of Microbiology and Immunology, State University of New York Health Science Center, Brooklyn, NY 11203; and §A. N. Belozersky Institute of Physico-Chemical Biology, Moscow State University, Moscow, Russia Edited by Harry F. Noller, University of California, Santa Cruz, CA, and approved October 31, 2002 (received for review September 19, 2002) Initiation factors IF2 in bacteria and eIF2 in eukaryotes are GTPases In addition, when nonhydrolyzable GDPNP was substituted Met that bind Met-tRNAi to the small ribosomal subunit. eIF5B, the for GTP, eIF5B catalyzed subunit joining; however, the factor eukaryotic ortholog of IF2, is a GTPase that promotes ribosomal was unable to dissociate from the 80S ribosome after subunit subunit joining. Here we show that eIF5B GTPase activity is re- joining (7). quired for protein synthesis. Mutation of the conserved Asp-759 in To dissect the function of the eIF5B G domain and test the human eIF5B GTP-binding domain to Asn converts eIF5B to an model that two GTP molecules are required in translation XTPase and introduces an XTP requirement for subunit joining and initiation, we mutated conserved residues in the eIF5B G translation initiation. Thus, in contrast to bacteria where the single domain and tested the function of the mutant proteins in GTPase IF2 is sufficient to catalyze translation initiation, eukaryotic translation initiation.
    [Show full text]