Selection of Reference Genes for Gene Expression Analysis in Liriodendron
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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. -
Evolution of Translation EF-Tu: Trna
University of Illinois at Urbana-Champaign Luthey-Schulten Group NIH Resource for Macromolecular Modeling and Bioinformatics Computational Biophysics Workshop Evolution of Translation EF-Tu: tRNA VMD Developer: John Stone MultiSeq Developers Tutorial Authors Elijah Roberts Ke Chen John Eargle John Eargle Dan Wright Zhaleh Ghaemi Jonathan Lai Zan Luthey-Schulten August 2014 A current version of this tutorial is available at http://www.scs.illinois.edu/~schulten/tutorials/ef-tu CONTENTS 2 Contents 1 Introduction 3 1.1 The Elongation Factor Tu . 3 1.2 Getting Started . 4 1.2.1 Requirements . 4 1.2.2 Copying the tutorial files . 4 1.2.3 Working directory . 4 1.2.4 Preferences . 4 1.3 Configuring BLAST for MultiSeq . 5 2 Comparative Analysis of EF-Tu 5 2.1 Finding archaeal EF1A sequences . 6 2.2 Aligning archaeal sequences and removing redundancy . 8 2.3 Finding bacteria EF-Tu sequences . 11 2.4 Performing ClustalW Multiple Sequence and Profile-Profile Align- ments . 12 2.5 Creating Multiple Sequence with MAFFT . 16 2.6 Conservation of EF-Tu among the Bacteria . 16 2.7 Finding conserved residues across the bacterial and archaeal do- mains . 20 2.8 EF-Tu Interface with the Ribosome . 21 3 Computing a Maximum Likelihood Phylogenetic Tree with RAxML 23 3.1 Load the Phylogenetic Tree into MultiSeq . 25 3.2 Reroot and Manipulate the Phylogenetic Tree . 25 4 MultiSeq TCL Scripting: Genomic Context 27 5 Appendix A 30 5.1 Building a BLAST Database . 30 6 Appendix B 31 6.1 Saving QR subset of alignments in PHYLIP and FASTA format 31 6.2 Calculating Maximum Likelihood Trees with RAxML . -
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. -
Allosteric Collaboration Between Elongation Factor G and the Ribosomal L1 Stalk Directs Trna Movements During Translation
Allosteric collaboration between elongation factor G and the ribosomal L1 stalk directs tRNA movements during translation Jingyi Feia, Jonathan E. Bronsona, Jake M. Hofmanb,1, Rathi L. Srinivasc, Chris H. Wigginsd and Ruben L. Gonzalez, Jr.a,2 aDepartment of Chemistry, bDepartment of Physics, cThe Fu Foundation School of Engineering and Applied Science and dDepartment of Applied Physics and Applied Mathematics, Columbia University, New York, NY 10027 1Current address: Yahoo! Research, 111 West 40th Street, 17th Floor, NewYork, NY 10018 2To whom correspondence may be addressed. E-mail: [email protected] Classification: Biological Sciences, Biochemistry ABSTRACT Determining the mechanism by which transfer RNAs (tRNAs) rapidly and precisely transit through the ribosomal A, P and E sites during translation remains a major goal in the study of protein synthesis. Here, we report the real-time dynamics of the L1 stalk, a structural element of the large ribosomal subunit that is implicated in directing tRNA movements during translation. Within pre-translocation ribosomal complexes, the L1 stalk exists in a dynamic equilibrium between open and closed conformations. Binding of elongation factor G (EF-G) shifts this equilibrium towards the closed conformation through one of at least two distinct kinetic mechanisms, where the identity of the P-site tRNA dictates the kinetic route that is taken. Within post-translocation complexes, L1 stalk dynamics are dependent on the presence and identity of the E-site tRNA. Collectively, our data demonstrate that EF-G and the L1 stalk allosterically collaborate to direct tRNA translocation from the P to the E sites, and suggest a model for the release of E-site tRNA. -
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. -
Ef-G:Trna Dynamics During the Elongation Cycle of Protein Synthesis
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2015 Ef-G:trna Dynamics During the Elongation Cycle of Protein Synthesis Rong Shen University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Biochemistry Commons Recommended Citation Shen, Rong, "Ef-G:trna Dynamics During the Elongation Cycle of Protein Synthesis" (2015). Publicly Accessible Penn Dissertations. 1131. https://repository.upenn.edu/edissertations/1131 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1131 For more information, please contact [email protected]. Ef-G:trna Dynamics During the Elongation Cycle of Protein Synthesis Abstract During polypeptide elongation cycle, prokaryotic elongation factor G (EF-G) catalyzes the coupled translocations on the ribosome of mRNA and A- and P-site bound tRNAs. Continued progress has been achieved in understanding this key process, including results of structural, ensemble kinetic and single- molecule studies. However, most of work has been focused on the pre-equilibrium states of this fast process, leaving the real time dynamics, especially how EF-G interacts with the A-site tRNA in the pretranslocation complex, not fully elucidated. In this thesis, the kinetics of EF-G catalyzed translocation is investigated by both ensemble and single molecule fluorescence resonance energy transfer studies to further explore the underlying mechanism. In the ensemble work, EF-G mutants were designed and expressed successfully. The labeled EF-G mutants show good translocation activity in two different assays. In the smFRET work, by attachment of a fluorescent probe at position 693 on EF-G permits monitoring of FRET efficiencies to sites in both ribosomal protein L11 and A-site tRNA. -
Role of Cyclin-Dependent Kinase 1 in Translational Regulation in the M-Phase
cells Review Role of Cyclin-Dependent Kinase 1 in Translational Regulation in the M-Phase Jaroslav Kalous *, Denisa Jansová and Andrej Šušor Institute of Animal Physiology and Genetics, Academy of Sciences of the Czech Republic, Rumburska 89, 27721 Libechov, Czech Republic; [email protected] (D.J.); [email protected] (A.Š.) * Correspondence: [email protected] Received: 28 April 2020; Accepted: 24 June 2020; Published: 27 June 2020 Abstract: Cyclin dependent kinase 1 (CDK1) has been primarily identified as a key cell cycle regulator in both mitosis and meiosis. Recently, an extramitotic function of CDK1 emerged when evidence was found that CDK1 is involved in many cellular events that are essential for cell proliferation and survival. In this review we summarize the involvement of CDK1 in the initiation and elongation steps of protein synthesis in the cell. During its activation, CDK1 influences the initiation of protein synthesis, promotes the activity of specific translational initiation factors and affects the functioning of a subset of elongation factors. Our review provides insights into gene expression regulation during the transcriptionally silent M-phase and describes quantitative and qualitative translational changes based on the extramitotic role of the cell cycle master regulator CDK1 to optimize temporal synthesis of proteins to sustain the division-related processes: mitosis and cytokinesis. Keywords: CDK1; 4E-BP1; mTOR; mRNA; translation; M-phase 1. Introduction 1.1. Cyclin Dependent Kinase 1 (CDK1) Is a Subunit of the M Phase-Promoting Factor (MPF) CDK1, a serine/threonine kinase, is a catalytic subunit of the M phase-promoting factor (MPF) complex which is essential for cell cycle control during the G1-S and G2-M phase transitions of eukaryotic cells. -
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.