Literature DB >> 18269573

Utilizing tiling microarrays for whole-genome analysis in plants.

Brian D Gregory1, Junshi Yazaki, Joseph R Ecker.   

Abstract

The recent explosion in available genome sequence data has ushered in an era in which analysis of a whole genome can be performed in a single experiment. While DNA microarrays have long been the established technology for measuring gene expression levels, standard expression arrays use relatively few probes for each gene and are typically biased toward known and predicted gene structures. Recently, with the availability of complete genome sequences for many organisms, very-high-density oligonucleotide-based microarrays that span the entire genome have emerged as the preferred platform for genomic analysis. Whole-genome tiling microarrays can be employed for a myriad of purposes, including empirical annotation of the transcriptome, chromatin immunoprecipitation-chip studies, analysis of alternative RNA splicing, characterization of the methylation state of cytosine bases throughout a genome (methylome), and DNA polymorphism discovery. Here, we review several applications of whole-genome technology to obtain a variety of genomic-scale information in plants.

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Year:  2008        PMID: 18269573     DOI: 10.1111/j.1365-313X.2007.03320.x

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  13 in total

1.  DNA methylation screening and analysis.

Authors:  Karilyn E Sant; Muna S Nahar; Dana C Dolinoy
Journal:  Methods Mol Biol       Date:  2012

Review 2.  Legume transcription factor genes: what makes legumes so special?

Authors:  Marc Libault; Trupti Joshi; Vagner A Benedito; Dong Xu; Michael K Udvardi; Gary Stacey
Journal:  Plant Physiol       Date:  2009-09-02       Impact factor: 8.340

3.  A 3,000-loci transcription map of chromosome 3B unravels the structural and functional features of gene islands in hexaploid wheat.

Authors:  Camille Rustenholz; Frédéric Choulet; Christel Laugier; Jan Safár; Hana Simková; Jaroslav Dolezel; Federica Magni; Simone Scalabrin; Federica Cattonaro; Sonia Vautrin; Arnaud Bellec; Hélène Bergès; Catherine Feuillet; Etienne Paux
Journal:  Plant Physiol       Date:  2011-10-27       Impact factor: 8.340

4.  Digital gene expression signatures for maize development.

Authors:  Andrea L Eveland; Namiko Satoh-Nagasawa; Alexander Goldshmidt; Sandra Meyer; Mary Beatty; Hajime Sakai; Doreen Ware; David Jackson
Journal:  Plant Physiol       Date:  2010-09-10       Impact factor: 8.340

5.  The Listeria transcriptional landscape from saprophytism to virulence.

Authors:  Alejandro Toledo-Arana; Olivier Dussurget; Georgios Nikitas; Nina Sesto; Hélène Guet-Revillet; Damien Balestrino; Edmund Loh; Jonas Gripenland; Teresa Tiensuu; Karolis Vaitkevicius; Mathieu Barthelemy; Massimo Vergassola; Marie-Anne Nahori; Guillaume Soubigou; Béatrice Régnault; Jean-Yves Coppée; Marc Lecuit; Jörgen Johansson; Pascale Cossart
Journal:  Nature       Date:  2009-05-17       Impact factor: 49.962

6.  Formalin can alter the intracellular localization of some transcription factors in Saccharomyces cerevisiae.

Authors:  Jennifer J Tate; Terrance G Cooper
Journal:  FEMS Yeast Res       Date:  2008-12       Impact factor: 2.796

7.  Parsimonious higher-order hidden Markov models for improved array-CGH analysis with applications to Arabidopsis thaliana.

Authors:  Michael Seifert; André Gohr; Marc Strickert; Ivo Grosse
Journal:  PLoS Comput Biol       Date:  2012-01-12       Impact factor: 4.475

Review 8.  Effects of abiotic stress on plants: a systems biology perspective.

Authors:  Grant R Cramer; Kaoru Urano; Serge Delrot; Mario Pezzotti; Kazuo Shinozaki
Journal:  BMC Plant Biol       Date:  2011-11-17       Impact factor: 4.215

9.  Epigenetic landscape of germline specific genes in the sporophyte cells of Arabidopsis thaliana.

Authors:  Chol Hee Jung; Martin O'Brien; Mohan B Singh; Prem L Bhalla
Journal:  Front Plant Sci       Date:  2015-05-13       Impact factor: 5.753

10.  Internet Resources for Gene Expression Analysis in Arabidopsis thaliana.

Authors:  Reinhard Hehl; Lorenz Bülow
Journal:  Curr Genomics       Date:  2008-09       Impact factor: 2.236

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