| Literature DB >> 15489341 |
Pierre Hilson1, Joke Allemeersch, Thomas Altmann, Sébastien Aubourg, Alexandra Avon, Jim Beynon, Rishikesh P Bhalerao, Frédérique Bitton, Michel Caboche, Bernard Cannoot, Vasil Chardakov, Cécile Cognet-Holliger, Vincent Colot, Mark Crowe, Caroline Darimont, Steffen Durinck, Holger Eickhoff, Andéol Falcon de Longevialle, Edward E Farmer, Murray Grant, Martin T R Kuiper, Hans Lehrach, Céline Léon, Antonio Leyva, Joakim Lundeberg, Claire Lurin, Yves Moreau, Wilfried Nietfeld, Javier Paz-Ares, Philippe Reymond, Pierre Rouzé, Goran Sandberg, Maria Dolores Segura, Carine Serizet, Alexandra Tabrett, Ludivine Taconnat, Vincent Thareau, Paul Van Hummelen, Steven Vercruysse, Marnik Vuylsteke, Magdalena Weingartner, Peter J Weisbeek, Valtteri Wirta, Floyd R A Wittink, Marc Zabeau, Ian Small.
Abstract
Microarray transcript profiling and RNA interference are two new technologies crucial for large-scale gene function studies in multicellular eukaryotes. Both rely on sequence-specific hybridization between complementary nucleic acid strands, inciting us to create a collection of gene-specific sequence tags (GSTs) representing at least 21,500 Arabidopsis genes and which are compatible with both approaches. The GSTs were carefully selected to ensure that each of them shared no significant similarity with any other region in the Arabidopsis genome. They were synthesized by PCR amplification from genomic DNA. Spotted microarrays fabricated from the GSTs show good dynamic range, specificity, and sensitivity in transcript profiling experiments. The GSTs have also been transferred to bacterial plasmid vectors via recombinational cloning protocols. These cloned GSTs constitute the ideal starting point for a variety of functional approaches, including reverse genetics. We have subcloned GSTs on a large scale into vectors designed for gene silencing in plant cells. We show that in planta expression of GST hairpin RNA results in the expected phenotypes in silenced Arabidopsis lines. These versatile GST resources provide novel and powerful tools for functional genomics.Entities:
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Year: 2004 PMID: 15489341 PMCID: PMC528935 DOI: 10.1101/gr.2544504
Source DB: PubMed Journal: Genome Res ISSN: 1088-9051 Impact factor: 9.043