Literature DB >> 15141064

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

Guo-Wei Tian1, 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.   

Abstract

We developed a high-throughput methodology, termed fluorescent tagging of full-length proteins (FTFLP), to analyze expression patterns and subcellular localization of Arabidopsis gene products in planta. Determination of these parameters is a logical first step in functional characterization of the approximately one-third of all known Arabidopsis genes that encode novel proteins of unknown function. Our FTFLP-based approach offers two significant advantages: first, it produces internally-tagged full-length proteins that are likely to exhibit native intracellular localization, and second, it yields information about the tissue specificity of gene expression by the use of native promoters. To demonstrate how FTFLP may be used for characterization of the Arabidopsis proteome, we tagged a series of known proteins with diverse subcellular targeting patterns as well as several proteins with unknown function and unassigned subcellular localization.

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Year:  2004        PMID: 15141064      PMCID: PMC429330          DOI: 10.1104/pp.104.040139

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  65 in total

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Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

3.  Annotation of the Arabidopsis genome.

Authors:  Jennifer R Wortman; Brian J Haas; Linda I Hannick; Roger K Smith; Rama Maiti; Catherine M Ronning; Agnes P Chan; Chunhui Yu; Mulu Ayele; Catherine A Whitelaw; Owen R White; Christopher D Town
Journal:  Plant Physiol       Date:  2003-06       Impact factor: 8.340

4.  Towards a modeling infrastructure for studying plant cells.

Authors:  Thomas Girke; Mihri Ozkan; David Carter; Natasha V Raikhel
Journal:  Plant Physiol       Date:  2003-06       Impact factor: 8.340

5.  Random GFP::cDNA fusions enable visualization of subcellular structures in cells of Arabidopsis at a high frequency.

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Journal:  Plant Physiol       Date:  2001-04       Impact factor: 8.340

7.  Reducing the environmental sensitivity of yellow fluorescent protein. Mechanism and applications.

Authors:  O Griesbeck; G S Baird; R E Campbell; D A Zacharias; R Y Tsien
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8.  MAF1, a novel plant protein interacting with matrix attachment region binding protein MFP1, is located at the nuclear envelope.

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  110 in total

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2.  Tools for cellulose analysis in plant cell walls.

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Journal:  Plant Physiol       Date:  2010-03-19       Impact factor: 8.340

Review 3.  Opportunities and successes in the search for plasmodesmal proteins.

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Journal:  Plant Cell       Date:  2012-07-05       Impact factor: 11.277

5.  Combining machine learning and homology-based approaches to accurately predict subcellular localization in Arabidopsis.

Authors:  Rakesh Kaundal; Reena Saini; Patrick X Zhao
Journal:  Plant Physiol       Date:  2010-07-20       Impact factor: 8.340

6.  Functional analyses of the plant-specific C-terminal region of VPS9a: the activating factor for RAB5 in Arabidopsis thaliana.

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7.  The vegetative vacuole proteome of Arabidopsis thaliana reveals predicted and unexpected proteins.

Authors:  Clay Carter; Songqin Pan; Jan Zouhar; Emily L Avila; Thomas Girke; Natasha V Raikhel
Journal:  Plant Cell       Date:  2004-11-11       Impact factor: 11.277

8.  Temporal analysis of neural differentiation using quantitative proteomics.

Authors:  Raghothama Chaerkady; Candace L Kerr; Arivusudar Marimuthu; Dhanashree S Kelkar; Manoj Kumar Kashyap; Marjan Gucek; John D Gearhart; Akhilesh Pandey
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9.  Arabidopsis reversibly glycosylated polypeptides 1 and 2 are essential for pollen development.

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10.  Systematic localization of the Arabidopsis core cell cycle proteins reveals novel cell division complexes.

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Journal:  Plant Physiol       Date:  2009-12-16       Impact factor: 8.340

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