Literature DB >> 12398194

In vivo functional proteomics: mammalian genome annotation using CD-tagging.

J W Jarvik1, G W Fisher, C Shi, L Hennen, C Hauser, S Adler, P B Berget.   

Abstract

A self-inactivating CD-tagging retroviral vector was used to introduce epitope and GFP tags into genes and proteins in NIH 3T3 cells. Several hundred cell clones, each expressing GFP fluorescence in a distinctive pattern, were isolated. Molecular analysis showed that a wide variety of genes and proteins, some known and some newly discovered, had been tagged. The analysis also revealed that, in the great majority of instances, the abundance and cellular location of the tagged protein mirrored that of its untagged counterpart. This approach provides a systematic means for the functional annotation of mammalian genomes and proteomes in living cells.

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Year:  2002        PMID: 12398194     DOI: 10.2144/02334rr02

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


  24 in total

Review 1.  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

2.  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

3.  Automated Proteome-Wide Determination of Subcellular Location Using High Throughput Microscopy.

Authors:  Robert F Murphy
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2008-05-14

4.  Shaping cells and organs in Drosophila by opposing roles of fat body-secreted Collagen IV and perlecan.

Authors:  José Carlos Pastor-Pareja; Tian Xu
Journal:  Dev Cell       Date:  2011-08-16       Impact factor: 12.270

5.  Object type recognition for automated analysis of protein subcellular location.

Authors:  Ting Zhao; Meel Velliste; Michael V Boland; Robert F Murphy
Journal:  IEEE Trans Image Process       Date:  2005-09       Impact factor: 10.856

Review 6.  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

7.  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

8.  Determining the subcellular location of new proteins from microscope images using local features.

Authors:  Luis Pedro Coelho; Joshua D Kangas; Armaghan W Naik; Elvira Osuna-Highley; Estelle Glory-Afshar; Margaret Fuhrman; Ramanuja Simha; Peter B Berget; Jonathan W Jarvik; Robert F Murphy
Journal:  Bioinformatics       Date:  2013-07-08       Impact factor: 6.937

9.  Model building and intelligent acquisition with application to protein subcellular location classification.

Authors:  C Jackson; E Glory-Afshar; R F Murphy; J Kovacevic
Journal:  Bioinformatics       Date:  2011-05-09       Impact factor: 6.937

10.  Systematic definition of protein constituents along the major polarization axis reveals an adaptive reuse of the polarization machinery in pheromone-treated budding yeast.

Authors:  Rammohan Narayanaswamy; Emily K Moradi; Wei Niu; G Traver Hart; Matthew Davis; Kriston L McGary; Andrew D Ellington; Edward M Marcotte
Journal:  J Proteome Res       Date:  2009-01       Impact factor: 4.466

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