Isolation, Sequence Analysis, and Intron-Exon Arrangement of the Gene Encoding Bovine Rhodopsin
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Proquesttm Pre-Made Cdna Libraries
Instruction Manual TM ProQuest Pre-made cDNA Libraries For detecting protein-protein interactions Version B December 12, 2002 25-0617 Table of Contents General Information ..............................................................2 Overview...............................................................................5 Using ProQuest™ Libraries....................................................8 pPC86.................................................................................13 pEXP-AD502.......................................................................15 Recipe.................................................................................17 Accessory Products ............................................................18 Purchaser Notification.........................................................19 Technical Service................................................................22 References..........................................................................24 1 General Information Contents 2 x 0.5 ml aliquots and Storage Each cDNA library is supplied in 80% SOB medium, 20% (v/v) glycerol. Store the library at -80°C. The cDNA library is stable for six months when stored properly. Titer of the Each library has greater than 5 x 109 cfu (colony Libraries forming units) derived from > 107 primary clones to ensure complete representation of rare sequences. ProQuest™ The following ProQuest™ Pre-made cDNA Libraries are Pre-made available from Invitrogen. For more information on cDNA preparing the library, see page -
In-Fusion Smarter Directional Cdna Library Construction Kit User Manual Table of Contents I
Takara Bio USA In-Fusion® SMARTer® Directional cDNA Library Construction Kit User Manual Cat. No. 634933 (050421) Takara Bio USA, Inc. 1290 Terra Bella Avenue, Mountain View, CA 94043, USA U.S. Technical Support: [email protected] United States/Canada Asia Pacific Europe Japan Page 1 of 40 800.662.2566 +1.650.919.7300 +33.(0)1.3904.6880 +81.(0)77.565.6999 In-Fusion SMARTer Directional cDNA Library Construction Kit User Manual Table of Contents I. List of Components .................................................................................................................................................. 4 II. Additional Materials Required .................................................................................................................................. 5 III. Introduction .......................................................................................................................................................... 6 IV. RNA Preparation & Handling ..............................................................................................................................11 A. Assessing the Quality of the RNA Template ........................................................................................................11 V. SMARTer cDNA Synthesis by LD-PCR .................................................................................................................13 A. Recommended Products ......................................................................................................................................13 -
Library Construction and Screening
Library construction and screening • A gene library is a collection of different DNA sequences from an organism, • which has beenAlso called genomic libraries or gene banks. • cloned into a vector for ease of purification, storage and analysis. Uses of gene libraries • To obtain the sequences of genes for analysis, amplification, cloning, and expression. • Once the sequence is known probes, primers, etc. can be synthesized for further diagnostic work using, for example, hybridization reactions, blots and PCR. • Knowledge of a gene sequence also offers the possibility of gene therapy. • Also, gene expression can be used to synthesize a product in particular host cells, e.g. synthesis of human gene products in prokaryotic cells. two types of gene library depending upon the source of the DNA used. 1.genomic library. 2.cDNA library Types of GENE library: • genomic library contains DNA fragments representing the entire genome of an organism. • cDNA library contains only complementary DNA molecules synthesized from mRNA molecules in a cell. Genomic Library : • Made from nuclear DNA of an organism or species. • DNA is cut into clonable size pieces as randomly possible using restriction endonuclease • Genomic libraries contain whole genomic fragments including gene exons and introns, gene promoters, intragenic DNA,origins of replication, etc Construction of Genomic Libraries 1. Isolation of genomic DNA and vector. 2.Cleavage of Genomic DNA and vector by Restriction Endonucleases. 3.Ligation of fragmented DNA with the vector. 4.Transformation of -
Contributions to Biostatistics: Categorical Data Analysis, Data Modeling and Statistical Inference Mathieu Emily
Contributions to biostatistics: categorical data analysis, data modeling and statistical inference Mathieu Emily To cite this version: Mathieu Emily. Contributions to biostatistics: categorical data analysis, data modeling and statistical inference. Mathematics [math]. Université de Rennes 1, 2016. tel-01439264 HAL Id: tel-01439264 https://hal.archives-ouvertes.fr/tel-01439264 Submitted on 18 Jan 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. HABILITATION À DIRIGER DES RECHERCHES Université de Rennes 1 Contributions to biostatistics: categorical data analysis, data modeling and statistical inference Mathieu Emily November 15th, 2016 Jury: Christophe Ambroise Professeur, Université d’Evry Val d’Essonne, France Rapporteur Gérard Biau Professeur, Université Pierre et Marie Curie, France Président David Causeur Professeur, Agrocampus Ouest, France Examinateur Heather Cordell Professor, University of Newcastle upon Tyne, United Kingdom Rapporteur Jean-Michel Marin Professeur, Université de Montpellier, France Rapporteur Valérie Monbet Professeur, Université de Rennes 1, France Examinateur Korbinian Strimmer Professor, Imperial College London, United Kingdom Examinateur Jean-Philippe Vert Directeur de recherche, Mines ParisTech, France Examinateur Pour M.H.A.M. Remerciements En tout premier lieu je tiens à adresser mes remerciements à l’ensemble des membres du jury qui m’ont fait l’honneur d’évaluer mes travaux. -
Sequence Analysis Instructions
Sequence Analysis Instructions In order to predict your drug metabolizing phenotype from your CYP2D6 gene sequence, you must determine: 1) The assembled sequence from your two opposing sequencing reactions 2) If your PCR product even represents the human CYP2D6 gene, 3) The location of your sequence within the CYP2D6 gene, 4) Whether differences between your alleles and CYP2D6*1 sequence represents sequencing errors or polymorphisms in your sequence, and 5) The effect(s) of any polymorphisms on CYP2D6 protein sequence. As you analyze your gene sequence, copy and paste your analyses and results into a text file for your final lab report. If some factor, like the quality of your sequence, prevents you from carrying out the complete analysis, your grade will not be penalized—just complete as many of the steps below as possible, and include an explanation of why you could not complete the analysis in your final report. Font appearing in bold green italics describes questions to answer and items to include in your final report. Part 1: Assembling your CYP2D6 sequence from both directions The sequencing reaction only produces 700-800 bases of good sequence. To get most of the sequence of the 1.2 Kbp PCR product, sequencing reactions were performed from both directions on the PCR product. These need to be assembled into one sequence using the overlap of the two sequences. In order to assure that it is going in the forward direction, it is best to derive the reverse complement sequence from the reverse sequencing file. Take the text file and paste it into a program like http://www.bioinformatics.org/sms/rev_comp.html. -
Global Tissue-Specific Transcriptome Analysis of Citrus Sinensis
www.nature.com/scientificdata opeN Global tissue-specifc transcriptome Data DeScrIpTor analysis of Citrus sinensis fruit across six developmental stages Received: 9 May 2019 Guizhi Feng, Juxun Wu & Hualin Yi Accepted: 23 July 2019 Published: xx xx xxxx Citrus sinensis fruit is a type of nonclimacteric fruit that mainly consists of four tissues: the epicarp, albedo, segment membrane and juice sac. The fruit quality is determined by the characteristics of these four tissues. However, our knowledge of the molecular processes that occur in these four tissues during citrus fruit development and ripening is limited. Tissue-specifc transcriptomes provide a comprehensive and detailed molecular regulatory network of citrus fruit development and ripening. In our study, we collected four types of tissue from C. sinensis fruits at six developmental stages. A total of 72 libraries were constructed from 24 samples (each sample had three replicates), and the transcriptomes were sequenced by an Illumina HiSeq 4000. The comprehensive analyses of the transcriptomes from the four tissues and six developmental stages presented here provide a valuable resource for the discovery of the molecular networks underlying citrus fruit development and ripening. Background & Summary Citrus, a nonclimacteric fruit, is widely cultivated worldwide. Citrus is mainly composed of the inedible epicarp (EP) and albedo (AL) and the edible segment membrane (SM) and juice sac (JS). Te development and ripening of citrus fruit is a complex and sophisticated regulatory process that can be divided into three stages: cell division stage; expansion stage involving cell enlargement and water, sugar accumulation; and ripening stage1. At present, most studies investigating citrus fruit development and ripening are based on the organ-wide or mixed-tissue level, which inevitably obscures many tissue-specifc phenomena. -
Agenda: Gene Prediction by Cross-Species Sequence Comparison Leila Taher1, Oliver Rinner2,3, Saurabh Garg1, Alexander Sczyrba4 and Burkhard Morgenstern5,*
Nucleic Acids Research, 2004, Vol. 32, Web Server issue W305–W308 DOI: 10.1093/nar/gkh386 AGenDA: gene prediction by cross-species sequence comparison Leila Taher1, Oliver Rinner2,3, Saurabh Garg1, Alexander Sczyrba4 and Burkhard Morgenstern5,* 1International Graduate School for Bioinformatics and Genome Research, University of Bielefeld, Postfach 10 01 31, 33501 Bielefeld, Germany, 2GSF Research Center, MIPS/Institute of Bioinformatics, Ingolsta¨dter Landstrasse 1, 85764 Neuherberg, Germany, 3Brain Research Institute, ETH Zuurich,€ Winterthurerstrasse 190, CH-8057 Zuurich,€ Switzerland, 4Faculty of Technology, Research Group in Practical Computer Science, University of Bielefeld, Postfach 10 01 31, 33501 Bielefeld, Germany and 5Institute of Microbiology and Genetics, University of Go¨ttingen, Goldschmidtstrasse 1, 37077 Go¨ttingen, Germany Received March 5, 2004; Revised and Accepted March 24, 2004 ABSTRACT Thus, with the huge amount of data produced by sequencing projects, the development of high-quality gene-prediction Automatic gene prediction is one of the major tools has become a priority in bioinformatics. For eukaryotic challenges in computational sequence analysis. organisms, gene prediction is particularly challenging, since Traditional approaches to gene finding rely on statis- protein-coding exons are usually separated by introns of vari- tical models derived from previously known genes. By able length. Most traditional methods for gene prediction are contrast, a new class of comparative methods relies intrinsic methods; they use hidden Markov models (HMMs) or on comparing genomic sequences from evolutionary other stochastic approaches describing the statistical composi- related organisms to each other. These methods are tion of introns, exons, etc. Such models are trained with already based on the concept of phylogenetic footprinting: known genes from the same or a closely related species; the they exploit the fact that functionally important most popular of these tools is GenScan (1). -
Combinatorial Cdna Library by Complementation of an Auxotrophic Escherichia Coli: Antibodies for Orotate Decarboxylation JEFFREY A
Proc. Natd. Acad. Sci. USA Vol. 91, pp. 8319-8323, August 1994 Biochemistry Selection of catalytic antibodies for a biosynthetic reaction from a combinatorial cDNA library by complementation of an auxotrophic Escherichia coli: Antibodies for orotate decarboxylation JEFFREY A. SMILEY AND STEPHEN J. BENKOVIC* Department of Chemistry, The Pennsylvania State University, University Park, PA 16802 Contributed by Stephen J. Benkovic, May 23, 1994 ABSTRACT Antibodies capable of decarboxylating oro- tate were sought by immunization with a hapten designed to elicit antibodies with combining sites that resemble the orotate- binding and catalytic portion of the active site of the enzyme OPRTase ODCase orotidine 5'-monophosphate (OMP) decarboxylase (orotidine- 0 '00 \\ 5'-monophosphate carboxy-lyase, EC 4.1.1.23). Active recom- binant antibody fragments (Fabs) were selected from a com- HN 'PO4 binatorial cDNA library by complementation of a pyrF strain UMP ofEscherichia cofl and growth ofthe library-expressing cells on pyrimidine-free medium. In this biological screen, a suffi- H " 0 ciently active antibody from the library would decarboxylate Antibody \ Urasi orotate to produce uracil, a pyrimidine source for the aux- Catalysis PRTase otroph, and would provide the cells with a growth advantage compared to cells without an active antibody. Six recombinant AN Fabs yielded identifiable colonies in a screen of 16,000 trans- H formants. To enhance its stability and expression level, one of the six positive fragments was converted into single-chain form. FIG. 1. Pathways for UMP biosynthesis. Upper route involves In this form, the antibody a naturally occurring enzymes orotate phosphoribosyltransferase fragment conferred definite growth (OPRTase) and OMP decarboxylase (ODCase). -
Software List for Biology, Bioinformatics and Biostatistics CCT
Software List for biology, bioinformatics and biostatistics v CCT - Delta Software Version Application short read assembler and it works on both small and large (mammalian size) ALLPATHS-LG 52488 genomes provides a fast, flexible C++ API & toolkit for reading, writing, and manipulating BAMtools 2.4.0 BAM files a high level of alignment fidelity and is comparable to other mainstream Barracuda 0.7.107b alignment programs allows one to intersect, merge, count, complement, and shuffle genomic bedtools 2.25.0 intervals from multiple files Bfast 0.7.0a universal DNA sequence aligner tool analysis and comprehension of high-throughput genomic data using the R Bioconductor 3.2 statistical programming BioPython 1.66 tools for biological computation written in Python a fast approach to detecting gene-gene interactions in genome-wide case- Boost 1.54.0 control studies short read aligner geared toward quickly aligning large sets of short DNA Bowtie 1.1.2 sequences to large genomes Bowtie2 2.2.6 Bowtie + fully supports gapped alignment with affine gap penalties BWA 0.7.12 mapping low-divergent sequences against a large reference genome ClustalW 2.1 multiple sequence alignment program to align DNA and protein sequences assembles transcripts, estimates their abundances for differential expression Cufflinks 2.2.1 and regulation in RNA-Seq samples EBSEQ (R) 1.10.0 identifying genes and isoforms differentially expressed EMBOSS 6.5.7 a comprehensive set of sequence analysis programs FASTA 36.3.8b a DNA and protein sequence alignment software package FastQC -
A Comparison of Latent Class and Sequence Analysis
Classifying life course trajectories: a comparison of latent class and sequence analysis Nicola Barban DONDENA \Carlo F. Dondena" Centre for Research on Social Dynamics, Universit`aBocconi, Milan, Italy [email protected] Francesco C. Billari DONDENA \Carlo F. Dondena" Centre for Research on Social Dynamics, Department of Decision Sciences and IGIER Universit`aBocconi, Milan, Italy Draft version. Abstract In this article we compare two techniques that are widely used in the analysis of life course trajectories, i.e. latent class analysis (LCA) and sequence analysis (SA). In particular, we focus on the use of these techniques as devices to obtain classes of individual life course trajectories. We first compare the consistency of the clas- sification obtained via the two techniques using an actual dataset on the life course trajectories of young adults. Then, we adopt a simulation approach to measure the ability of these two methods to correctly classify groups of life course trajecto- ries when specific forms of \random" variability are introduced within pre-specified classes in an artificial datasets. In order to do so, we introduce simulation opera- tors that have a life course and/or observational meaning. Our results contribute on the one hand to outline the usefulness and robustness of findings based on the classification of life course trajectories through LCA and SA, on the other hand to illuminate on the potential pitfalls of actual applications of these techniques. 1 Introduction In recent years, there has been a significantly growing interest in the holistic study of life course trajectories, i.e. in considering whole trajectories as a unit of analysis, both in a social science setting and in epidemiological and medical studies. -
Bioinformatics: a Practical Guide to the Analysis of Genes and Proteins, Second Edition Andreas D
BIOINFORMATICS A Practical Guide to the Analysis of Genes and Proteins SECOND EDITION Andreas D. Baxevanis Genome Technology Branch National Human Genome Research Institute National Institutes of Health Bethesda, Maryland USA B. F. Francis Ouellette Centre for Molecular Medicine and Therapeutics Children’s and Women’s Health Centre of British Columbia University of British Columbia Vancouver, British Columbia Canada A JOHN WILEY & SONS, INC., PUBLICATION New York • Chichester • Weinheim • Brisbane • Singapore • Toronto BIOINFORMATICS SECOND EDITION METHODS OF BIOCHEMICAL ANALYSIS Volume 43 BIOINFORMATICS A Practical Guide to the Analysis of Genes and Proteins SECOND EDITION Andreas D. Baxevanis Genome Technology Branch National Human Genome Research Institute National Institutes of Health Bethesda, Maryland USA B. F. Francis Ouellette Centre for Molecular Medicine and Therapeutics Children’s and Women’s Health Centre of British Columbia University of British Columbia Vancouver, British Columbia Canada A JOHN WILEY & SONS, INC., PUBLICATION New York • Chichester • Weinheim • Brisbane • Singapore • Toronto Designations used by companies to distinguish their products are often claimed as trademarks. In all instances where John Wiley & Sons, Inc., is aware of a claim, the product names appear in initial capital or ALL CAPITAL LETTERS. Readers, however, should contact the appropriate companies for more complete information regarding trademarks and registration. Copyright ᭧ 2001 by John Wiley & Sons, Inc. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic or mechanical, including uploading, downloading, printing, decompiling, recording or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. -
Efficient PCR Approach for the Selection of Cdnas Encoded In
Proc. Nati. Acad. Sci. USA Vol. 88, pp. 9623-9627, November 1991 Genetics cDNA selection: Efficient PCR approach for the selection of cDNAs encoded in large chromosomal DNA fragments (yeast artificial chromosomes/cosmids/major histocompatibility complex) SATISH PARIMOO*t, SANKHAVARAM R. PATANJALI*, HRIDAYABHIRANJAN SHUKLA*, DAVID D. CHAPLIN*, AND SHERMAN M. WEISSMAN* *Department of Genetics, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06510; and tDepartment of Internal Medicine and Howard Hughes Medical Institute, Washington University School of Medicine, St. Louis, MO 63110 Contributed by Sherman M. Weissman, July 24, 1991 ABSTRACT Identification of coding segments in large B30H3, isolated by one of us (D.D.C.; ref. 20), encompasses fragments of genomic DNA is a recurrent problem in genome a 320-kilobase (kb) region from the human major histocom- mapping and positional cloning studies. We have developed a patibility complex (MHC) class I HLA-A locus. Yeast chro- rapid and efficient protocol to achieve this goal, based on mosomes from agarose plugs were fractionated by 1% aga- hybridization of cDNA fragments to immobilized DNA and rose contour-clamped homogeneous electric field gel elec- recovery of the selected cDNAs by the PCR. The procedure trophoresis (21) in 0.5x TBE (45 mM Tris HCl, pH 8.3/45 permits rapid cloning of cDNA fragments encoded by large mM boric acid/0.2 mM EDTA) at 14'C for 45 hr at 150 V/cm genomic DNA fragments, groups of yeast artificial chromo- with a switching interval of 30 sec in an LKB Pulsaphor somes, or cosmids and has the potential to directly enrich apparatus.