Improved Pyrrolysine Biosynthesis Through Phage Assisted Non-Continuous Directed Evolution of the Complete Pathway ✉ Joanne M
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Ovulation-Selective Genes: the Generation and Characterization of an Ovulatory-Selective Cdna Library
531 Ovulation-selective genes: the generation and characterization of an ovulatory-selective cDNA library A Hourvitz1,2*, E Gershon2*, J D Hennebold1, S Elizur2, E Maman2, C Brendle1, E Y Adashi1 and N Dekel2 1Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah 84132, USA 2Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel (Requests for offprints should be addressed to N Dekel; Email: [email protected]) *(A Hourvitz and E Gershon contributed equally to this paper) (J D Hennebold is now at Division of Reproductive Sciences, Oregon National Primate Research Center, Oregon Health and Science University, Beaverton, Oregon 97006, USA) Abstract Ovulation-selective/specific genes, that is, genes prefer- (FAE-1) homolog, found to be localized to the inner entially or exclusively expressed during the ovulatory periantral granulosa and to the cumulus granulosa cells of process, have been the subject of growing interest. We antral follicles. The FAE-1 gene is a -ketoacyl-CoA report herein studies on the use of suppression subtractive synthase belonging to the fatty acid elongase (ELO) hybridization (SSH) to construct a ‘forward’ ovulation- family, which catalyzes the initial step of very long-chain selective/specific cDNA library. In toto, 485 clones were fatty acid synthesis. All in all, the present study accom- sequenced and analyzed for homology to known genes plished systematic identification of those hormonally with the basic local alignment tool (BLAST). Of those, regulated genes that are expressed in the ovary in an 252 were determined to be nonredundant. -
18S Rrna Is a Reliable Normalisation Gene for Real Time PCR Based On
Kuchipudi et al. Virology Journal 2012, 9:230 http://www.virologyj.com/content/9/1/230 METHODOLOGY Open Access 18S rRNA is a reliable normalisation gene for real time PCR based on influenza virus infected cells Suresh V Kuchipudi1*, Meenu Tellabati1, Rahul K Nelli1, Gavin A White2, Belinda Baquero Perez1, Sujith Sebastian1, Marek J Slomka3, Sharon M Brookes3, Ian H Brown3, Stephen P Dunham1 and Kin-Chow Chang1 Abstract Background: One requisite of quantitative reverse transcription PCR (qRT-PCR) is to normalise the data with an internal reference gene that is invariant regardless of treatment, such as virus infection. Several studies have found variability in the expression of commonly used housekeeping genes, such as beta-actin (ACTB) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH), under different experimental settings. However, ACTB and GAPDH remain widely used in the studies of host gene response to virus infections, including influenza viruses. To date no detailed study has been described that compares the suitability of commonly used housekeeping genes in influenza virus infections. The present study evaluated several commonly used housekeeping genes [ACTB, GAPDH, 18S ribosomal RNA (18S rRNA), ATP synthase, H+ transporting, mitochondrial F1 complex, beta polypeptide (ATP5B) and ATP synthase, H+ transporting, mitochondrial Fo complex, subunit C1 (subunit 9) (ATP5G1)] to identify the most stably expressed gene in human, pig, chicken and duck cells infected with a range of influenza A virus subtypes. Results: The relative expression stability of commonly used housekeeping genes were determined in primary human bronchial epithelial cells (HBECs), pig tracheal epithelial cells (PTECs), and chicken and duck primary lung-derived cells infected with five influenza A virus subtypes. -
Systematic Identification of Housekeeping Genes Possibly Used As References in Caenorhabditis Elegans by Large-Scale Data Integration
cells Article Systematic Identification of Housekeeping Genes Possibly Used as References in Caenorhabditis elegans by Large-Scale Data Integration 1, 1, 1 1 1 1 1 Jingxin Tao y, Youjin Hao y, Xudong Li , Huachun Yin , Xiner Nie , Jie Zhang , Boying Xu , Qiao Chen 2 and Bo Li 1,* 1 College of Life Sciences, Chongqing Normal University, Chongqing 401331, China; [email protected] (J.T.); [email protected] (Y.H.); [email protected] (X.L.); [email protected] (H.Y.); [email protected] (X.N.); [email protected] (J.Z.); [email protected] (B.X.) 2 Scientific Research Office, Chongqing Normal University, Chongqing 401331, China; [email protected] * Correspondence: [email protected]; Tel.: +86-23-6591-0315 These authors contributed equally to this work. y Received: 24 January 2020; Accepted: 11 March 2020; Published: 24 March 2020 Abstract: For accurate gene expression quantification, normalization of gene expression data against reliable reference genes is required. It is known that the expression levels of commonly used reference genes vary considerably under different experimental conditions, and therefore, their use for data normalization is limited. In this study, an unbiased identification of reference genes in Caenorhabditis elegans was performed based on 145 microarray datasets (2296 gene array samples) covering different developmental stages, different tissues, drug treatments, lifestyle, and various stresses. As a result, thirteen housekeeping genes (rps-23, rps-26, rps-27, rps-16, rps-2, rps-4, rps-17, rpl-24.1, rpl-27, rpl-33, rpl-36, rpl-35, and rpl-15) with enhanced stability were comprehensively identified by using six popular normalization algorithms and RankAggreg method. -
Selenocysteine, Pyrrolysine, and the Unique Energy Metabolism of Methanogenic Archaea
Hindawi Publishing Corporation Archaea Volume 2010, Article ID 453642, 14 pages doi:10.1155/2010/453642 Review Article Selenocysteine, Pyrrolysine, and the Unique Energy Metabolism of Methanogenic Archaea Michael Rother1 and Joseph A. Krzycki2 1 Institut fur¨ Molekulare Biowissenschaften, Molekulare Mikrobiologie & Bioenergetik, Johann Wolfgang Goethe-Universitat,¨ Max-von-Laue-Str. 9, 60438 Frankfurt am Main, Germany 2 Department of Microbiology, The Ohio State University, 376 Biological Sciences Building 484 West 12th Avenue Columbus, OH 43210-1292, USA Correspondence should be addressed to Michael Rother, [email protected] andJosephA.Krzycki,[email protected] Received 15 June 2010; Accepted 13 July 2010 Academic Editor: Jerry Eichler Copyright © 2010 M. Rother and J. A. Krzycki. 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. Methanogenic archaea are a group of strictly anaerobic microorganisms characterized by their strict dependence on the process of methanogenesis for energy conservation. Among the archaea, they are also the only known group synthesizing proteins containing selenocysteine or pyrrolysine. All but one of the known archaeal pyrrolysine-containing and all but two of the confirmed archaeal selenocysteine-containing protein are involved in methanogenesis. Synthesis of these proteins proceeds through suppression of translational stop codons but otherwise the two systems are fundamentally different. This paper highlights these differences and summarizes the recent developments in selenocysteine- and pyrrolysine-related research on archaea and aims to put this knowledge into the context of their unique energy metabolism. 1. Introduction found to correspond to pyrrolysine in the crystal structure [9, 10] and have its own tRNA [11]. -
Analysis of the Stability of 70 Housekeeping Genes During Ips Reprogramming Yulia Panina1,2*, Arno Germond1 & Tomonobu M
www.nature.com/scientificreports OPEN Analysis of the stability of 70 housekeeping genes during iPS reprogramming Yulia Panina1,2*, Arno Germond1 & Tomonobu M. Watanabe1 Studies on induced pluripotent stem (iPS) cells highly rely on the investigation of their gene expression which requires normalization by housekeeping genes. Whether the housekeeping genes are stable during the iPS reprogramming, a transition of cell state known to be associated with profound changes, has been overlooked. In this study we analyzed the expression patterns of the most comprehensive list to date of housekeeping genes during iPS reprogramming of a mouse neural stem cell line N31. Our results show that housekeeping genes’ expression fuctuates signifcantly during the iPS reprogramming. Clustering analysis shows that ribosomal genes’ expression is rising, while the expression of cell-specifc genes, such as vimentin (Vim) or elastin (Eln), is decreasing. To ensure the robustness of the obtained data, we performed a correlative analysis of the genes. Overall, all 70 genes analyzed changed the expression more than two-fold during the reprogramming. The scale of this analysis, that takes into account 70 previously known and newly suggested genes, allowed us to choose the most stable of all genes. We highlight the fact of fuctuation of housekeeping genes during iPS reprogramming, and propose that, to ensure robustness of qPCR experiments in iPS cells, housekeeping genes should be used together in combination, and with a prior testing in a specifc line used in each study. We suggest that the longest splice variants of Rpl13a, Rplp1 and Rps18 can be used as a starting point for such initial testing as the most stable candidates. -
Amino Acid Recognition by Aminoacyl-Trna Synthetases
www.nature.com/scientificreports OPEN The structural basis of the genetic code: amino acid recognition by aminoacyl‑tRNA synthetases Florian Kaiser1,2,4*, Sarah Krautwurst3,4, Sebastian Salentin1, V. Joachim Haupt1,2, Christoph Leberecht3, Sebastian Bittrich3, Dirk Labudde3 & Michael Schroeder1 Storage and directed transfer of information is the key requirement for the development of life. Yet any information stored on our genes is useless without its correct interpretation. The genetic code defnes the rule set to decode this information. Aminoacyl-tRNA synthetases are at the heart of this process. We extensively characterize how these enzymes distinguish all natural amino acids based on the computational analysis of crystallographic structure data. The results of this meta-analysis show that the correct read-out of genetic information is a delicate interplay between the composition of the binding site, non-covalent interactions, error correction mechanisms, and steric efects. One of the most profound open questions in biology is how the genetic code was established. While proteins are encoded by nucleic acid blueprints, decoding this information in turn requires proteins. Te emergence of this self-referencing system poses a chicken-or-egg dilemma and its origin is still heavily debated 1,2. Aminoacyl-tRNA synthetases (aaRSs) implement the correct assignment of amino acids to their codons and are thus inherently connected to the emergence of genetic coding. Tese enzymes link tRNA molecules with their amino acid cargo and are consequently vital for protein biosynthesis. Beside the correct recognition of tRNA features3, highly specifc non-covalent interactions in the binding sites of aaRSs are required to correctly detect the designated amino acid4–7 and to prevent errors in biosynthesis5,8. -
Direct Charging of Trnacua with Pyrrolysine in Vitro and in Vivo
letters to nature .............................................................. gene product (see Supplementary Fig. S1). The tRNA pool extracted from Methanosarcina acetivorans or tRNACUA transcribed in vitro Direct charging of tRNACUA with was used in charging experiments. Charged and uncharged tRNA species were separated by electrophoresis in a denaturing acid-urea pyrrolysine in vitro and in vivo 10,11 polyacrylamide gel and tRNACUA was specifically detected by northern blotting with an oligonucleotide probe. The oligonucleo- Sherry K. Blight1*, Ross C. Larue1*, Anirban Mahapatra1*, tide complementary to tRNA could hybridize to a tRNA in the David G. Longstaff1, Edward Chang1, Gang Zhao2†, Patrick T. Kang4, CUA Kari B. Green-Church5, Michael K. Chan2,3,4 & Joseph A. Krzycki1,4 pool of tRNAs isolated from wild-type M. acetivorans but not to the tRNA pool from a pylT deletion mutant of M. acetivorans (A.M., 1Department of Microbiology, 484 West 12th Avenue, 2Department of Chemistry, A. Patel, J. Soares, R.L. and J.A.K., unpublished observations). 3 100 West 18th Avenue, Department of Biochemistry, 484 West 12th Avenue, Both tRNACUA and aminoacyl-tRNACUA were detectable in the The Ohio State University, Columbus, Ohio 43210, USA isolated cellular tRNA pool (Fig. 1). Alkaline hydrolysis deacylated 4Ohio State University Biochemistry Program, 484 West 12th Avenue, The Ohio the cellular charged species, but subsequent incubation with pyrro- State University, Columbus, Ohio 43210, USA lysine, ATP and PylS-His6 resulted in maximal conversion of 50% of 5CCIC/Mass Spectrometry and Proteomics Facility, The Ohio State University, deacylated tRNACUA to a species that migrated with the same 116 W 19th Ave, Columbus, Ohio 43210, USA electrophoretic mobility as the aminoacyl-tRNACUA present in the * These authors contributed equally to this work. -
Site-Specific Protein Modifications Through Pyrroline-Carboxy-Lysine Residues
Site-specific protein modifications through pyrroline-carboxy-lysine residues Weijia Ou1, Tetsuo Uno1, Hsien-Po Chiu, Jan Grünewald, Susan E. Cellitti, Tiffany Crossgrove, Xueshi Hao, Qian Fan, Lisa L. Quinn, Paula Patterson, Linda Okach, David H. Jones, Scott A. Lesley, Ansgar Brock, and Bernhard H. Geierstanger2 Genomics Institute of the Novartis Research Foundation, 10675 John-Jay-Hopkins Drive, San Diego, CA 92121-1125 Edited* by Peter G. Schultz, The Scripps Research Institute, La Jolla, CA, and approved May 11, 2011 (received for review April 4, 2011) Pyrroline-carboxy-lysine (Pcl) is a demethylated form of pyrrolysine acids will face similar hurdles to achieve site-specificity without that is generated by the pyrrolysine biosynthetic enzymes when deleterious effects to the protein of interest. the growth media is supplemented with D-ornithine. Pcl is readily The most elegant way to generate homogenously, site-specifi- incorporated by the unmodified pyrrolysyl-tRNA/tRNA synthetase cally modified proteins is the in vivo incorporation of unnatural pair into proteins expressed in Escherichia coli and in mammalian amino acids (7–9). Over 70 unnatural amino acids featuring a cells. Here, we describe a broadly applicable conjugation chemistry wide array of functionalities can be incorporated at TAG codons that is specific for Pcl and orthogonal to all other reactive groups using specific tRNA/tRNA synthetase pairs engineered through on proteins. The reaction of Pcl with 2-amino-benzaldehyde or an in vivo selection process to be orthogonal to the cellular 2-amino-acetophenone reagents proceeds to near completion at machinery of the host cells. A set of reactive unnatural amino neutral pH with high efficiency. -
A Common Analgesic Enhances the Anti-Tumour Activity of 5-Aza-2’- Deoxycytidine Through Induction of Oxidative Stress
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.31.017947; this version posted April 1, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. A common analgesic enhances the anti-tumour activity of 5-aza-2’- deoxycytidine through induction of oxidative stress Hannah J. Gleneadie1,10, Amy H. Baker1, Nikolaos Batis2, Jennifer Bryant2, Yao Jiang3, Samuel J.H. Clokie4, Hisham Mehanna2, Paloma Garcia5, Deena M.A. Gendoo6, Sally Roberts5, Alfredo A. Molinolo7, J. Silvio Gutkind8, Ben A. Scheven1, Paul R. Cooper1, Farhat L. Khanim9 and Malgorzata Wiench1, 5,*. 1School of Dentistry, Institute of Clinical Studies, College of Medical and Dental Sciences, The University of Birmingham, Birmingham, B5 7EG, UK; 2Institute of Head and Neck Studies and Education (InHANSE), The University of Birmingham, Birmingham, B15 2TT, UK; 3School of Biosciences, The University of Birmingham, Birmingham, B15 2TT, UK; 4West Midlands Regional Genetics Laboratory, Birmingham Women’s and Children’s Hospital, Birmingham, B15 2TG, UK; 5Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, The University of Birmingham, Birmingham, B15 2TT, UK; 6Centre for Computational Biology, Institute of Cancer and Genomic Sciences, The University of Birmingham, Birmingham, B15 2TT, UK; 7Moores Cancer Center and Department of Pathology, University of California San Diego, La Jolla, CA 92093, USA; 8Department of Pharmacology and Moores Cancer -
Guideline to Reference Gene Selection for Quantitative Real-Time PCR
BBRC Biochemical and Biophysical Research Communications 313 (2004) 856–862 www.elsevier.com/locate/ybbrc Guideline to reference gene selection for quantitative real-time PCR Aleksandar Radonicc,a Stefanie Thulke,a Ian M. Mackay,b Olfert Landt,d Wolfgang Siegert,a and Andreas Nitschea,c,d,* a Charite—Campus Charite Mitte, II. Medizinische Klinik mit Schwerpunkt Onkologie und Ha€matologie, Humboldt Universita€t, Berlin, Germany b Clinical Virology Research Unit, Sir Albert Sakzewski Virus Research Centre, Royal Children’s Hospital, Brisbane, Australia c Robert Koch Institut, Berlin, Germany d TIB MOLBIOL, Berlin, Germany Received 18 November 2003 Abstract Today, quantitative real-time PCR is the method of choice for rapid and reliable quantification of mRNA transcription. However, for an exact comparison of mRNA transcription in different samples or tissues it is crucial to choose the appropriate reference gene. Recently glyceraldehyde 3-phosphate dehydrogenase and b-actin have been used for that purpose. However, it has been reported that these genes as well as alternatives, like rRNA genes, are unsuitable references, because their transcription is significantly regulated in various experimental settings and variable in different tissues. Therefore, quantitative real-time PCR was used to determine the mRNA transcription profiles of 13 putative reference genes, comparing their transcription in 16 different tissues and in CCRF-HSB-2 cells stimulated with 12-O-tetradecanoylphorbol-13-acetate and ionomycin. Our results show that “Classical” reference genes are indeed unsuitable, whereas the RNA polymerase II gene was the gene with the most constant ex- pression in different tissues and following stimulation in CCRF-HSB-2 cells. -
Cell Type-Specific Analysis of Human Interactome and Transcriptome Shahin Mohammadi Purdue University
Purdue University Purdue e-Pubs Open Access Dissertations Theses and Dissertations January 2016 Cell Type-specific Analysis of Human Interactome and Transcriptome Shahin Mohammadi Purdue University Follow this and additional works at: https://docs.lib.purdue.edu/open_access_dissertations Recommended Citation Mohammadi, Shahin, "Cell Type-specific Analysis of Human Interactome and Transcriptome" (2016). Open Access Dissertations. 1371. https://docs.lib.purdue.edu/open_access_dissertations/1371 This document has been made available through Purdue e-Pubs, a service of the Purdue University Libraries. Please contact [email protected] for additional information. Graduate School Form 30 Updated 12/26/2015 PURDUE UNIVERSITY GRADUATE SCHOOL Thesis/Dissertation Acceptance This is to certify that the thesis/dissertation prepared By Shahin Mohammadi Entitled CELL TYPE-SPECIFIC ANALYSIS OF HUMAN INTERACTOME AND TRANSCRIPTOME For the degree of Doctor of Philosophy Is approved by the final examining committee: Ananth Grama Wojciech Szpankowski Chair David Gleich Jennifer Neville Markus Lill To the best of my knowledge and as understood by the student in the Thesis/Dissertation Agreement, Publication Delay, and Certification Disclaimer (Graduate School Form 32), this thesis/dissertation adheres to the provisions of Purdue University’s “Policy of Integrity in Research” and the use of copyright material. Approved by Major Professor(s): Ananth Grama William Gorman, Assistant to the Department Head 11/1/2016 Approved by: Head of the Departmental Graduate Program Date CELL TYPE-SPECIFIC ANALYSIS OF HUMAN INTERACTOME AND TRANSCRIPTOME A Dissertation Submitted to the Faculty of Purdue University by Shahin Mohammadi In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy December 2016 Purdue University West Lafayette, Indiana ii I dedicate this thesis to my mom, whose role in my life I can not even begin to describe. -
Live Imaging of Nascent RNA Dynamics Reveals Distinct Types of Transcriptional Pulse Regulation
Live imaging of nascent RNA dynamics reveals distinct types of transcriptional pulse regulation Tetsuya Muramotoa,1, Danielle Cannona,2, Marek Gierlinski b,c, Adam Corrigana,2, Geoffrey J. Bartonb,c, and Jonathan R. Chubba,2,3 aDivision of Cell and Developmental Biology, bDivision of Biological Chemistry and Drug Discovery, and cWellcome Trust Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom Edited by Sanjay Tyagi, University of Medicine and Dentistry of New Jersey, Newark, NJ, and accepted by the Editorial Board March 21, 2012 (received for review October 25, 2011) Transcription of genes can be discontinuous, occurring in pulses or have different fluctuation kinetics. However, available data on bursts. It is not clear how properties of transcriptional pulses vary transcription bursts and pulses imply active transcriptional states between different genes. We compared the pulsing of five house- last more in the range of minutes, even for strongly transcribed keeping and five developmentally induced genes by direct imaging genes (1). To describe the dynamics of transcription pulses it is of single gene transcriptional events in individual living Dictyoste- therefore necessary to directly observe pulses of RNA production, lium cells. Each gene displayed its own transcriptional signature, which requires using high-affinity RNA–protein interactions to differing in probability of firing and pulse duration, frequency, and deliver fluorescent signals to nascent RNA (15, 16). The resultant intensity. In contrast to the prevailing view from both prokary- accumulation of fluorescence at the site of transcription is viewed otes and eukaryotes that transcription displays binary behavior, under a microscope as a fluorescent spot, which appears and dis- strongly expressed housekeeping genes altered the magnitude of appears (pulses) at irregular intervals when imaged in living cells.