Literature DB >> 8723939

CD-tagging: a new approach to gene and protein discovery and analysis.

J W Jarvik1, S A Adler, C A Telmer, V Subramaniam, A J Lopez.   

Abstract

We describe a new method for gene discovery and analysis, CD-tagging, that puts specific molecular tags on a gene, its transcript and its protein product. The method has been successfully tested in two organisms, the haploid unicellular alga Chlamydomonas reinhardtii and the metazoan Drosophila melanogaster. The method utilizes a specially designed DNA molecule, the CD-cassette, that contains splice acceptor and donor sites surrounding a short open reading frame. Insertion of the CD-cassette into an intron in a target gene introduces a new exon, represented by the open reading frame of the CD-cassette, surrounded by two functional hybrid introns. As a result (i) the gene is tagged by a specific nucleotide sequence, (ii) the mRNA is tagged by a specific nucleotide sequence and (iii) the protein is tagged by a specific peptide sequence. Because these tags are unique, specific nucleotide or antibody probes can be used to obtain and/or analyze the gene, transcript or protein. As a gene discovery technology, CD-tagging has two unique advantages: 1) Genes can be identified through a primary screen at the protein level, and so the very process by which a gene is identified provides specific empirical information about its biological function. 2) The cassette arms, which are spliced out of the transcript of the target gene, are available to carry a wide variety of DNA sequences, such as genes encoding drug resistance that can be used to select for the presence of the CD-cassette in the genome.

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Year:  1996        PMID: 8723939     DOI: 10.2144/96205rr03

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  26 in total

1.  Automatic identification of subcellular phenotypes on human cell arrays.

Authors:  Christian Conrad; Holger Erfle; Patrick Warnat; Nathalie Daigle; Thomas Lörch; Jan Ellenberg; Rainer Pepperkok; Roland Eils
Journal:  Genome Res       Date:  2004-06       Impact factor: 9.043

2.  High-throughput fluorescent tagging of full-length Arabidopsis gene products in planta.

Authors:  Guo-Wei Tian; Amitabh Mohanty; S Narasimha Chary; Shijun Li; Brigitte Paap; Georgia Drakakaki; Charles D Kopec; Jianxiong Li; David Ehrhardt; David Jackson; Seung Y Rhee; Natasha V Raikhel; Vitaly Citovsky
Journal:  Plant Physiol       Date:  2004-05       Impact factor: 8.340

Review 3.  From quantitative microscopy to automated image understanding.

Authors:  Kai Huang; Robert F Murphy
Journal:  J Biomed Opt       Date:  2004 Sep-Oct       Impact factor: 3.170

4.  Using bleach-chase to measure protein half-lives in living cells.

Authors:  Naama Geva-Zatorsky; Irina Issaeva; Avi Mayo; Ariel Cohen; Erez Dekel; Tamar Danon; Lydia Cohen; Yuvalal Liron; Uri Alon; Eran Eden
Journal:  Nat Protoc       Date:  2012-03-29       Impact factor: 13.491

5.  Automated analysis of protein subcellular location in time series images.

Authors:  Yanhua Hu; Elvira Osuna-Highley; Juchang Hua; Theodore Scott Nowicki; Robert Stolz; Camille McKayle; Robert F Murphy
Journal:  Bioinformatics       Date:  2010-05-19       Impact factor: 6.937

6.  Exploring strategies for protein trapping in Drosophila.

Authors:  Ana T Quiñones-Coello; Lisa N Petrella; Kathleen Ayers; Anthony Melillo; Stacy Mazzalupo; Andrew M Hudson; Shu Wang; Claudia Castiblanco; Michael Buszczak; Roger A Hoskins; Lynn Cooley
Journal:  Genetics       Date:  2006-12-18       Impact factor: 4.562

Review 7.  Automated interpretation of subcellular patterns in fluorescence microscope images for location proteomics.

Authors:  Xiang Chen; Meel Velliste; Robert F Murphy
Journal:  Cytometry A       Date:  2006-07       Impact factor: 4.355

8.  Large-scale automated analysis of location patterns in randomly tagged 3T3 cells.

Authors:  Elvira García Osuna; Juchang Hua; Nicholas W Bateman; Ting Zhao; Peter B Berget; Robert F Murphy
Journal:  Ann Biomed Eng       Date:  2007-02-07       Impact factor: 3.934

9.  Cell cycle dependence of protein subcellular location inferred from static, asynchronous images.

Authors:  Taraz E Buck; Arvind Rao; Luis Pedro Coelho; Margaret H Fuhrman; Jonathan W Jarvik; Peter B Berget; Robert F Murphy
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

10.  Dynamic Proteomics: a database for dynamics and localizations of endogenous fluorescently-tagged proteins in living human cells.

Authors:  Milana Frenkel-Morgenstern; Ariel A Cohen; Naama Geva-Zatorsky; Eran Eden; Jaime Prilusky; Irina Issaeva; Alex Sigal; Cellina Cohen-Saidon; Yuvalal Liron; Lydia Cohen; Tamar Danon; Natalie Perzov; Uri Alon
Journal:  Nucleic Acids Res       Date:  2009-10-09       Impact factor: 16.971

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