Literature DB >> 17291825

Profiling a plant: expression analysis in Arabidopsis.

Wolfgang Busch1, Jan U Lohmann.   

Abstract

Modern expression profiling technologies have transformed biological sciences in the past decade, and plant researchers today can chose from a variety of methods that allow the quantification of thousands of transcripts in a single experiment. Using these technologies, the Arabidopsis community has contributed to our understanding of the transcriptional control of developmental programs, be it in entire organs, single cells, or in response to environmental stimuli. Moreover, work in plants has also been instrumental in elucidating the biogenesis and function of small RNAs. With the arrival of commercial whole-genome tiling arrays and cost-effective sequencing technologies, expression profiling will continue to play a central role in plant biology.

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Year:  2007        PMID: 17291825     DOI: 10.1016/j.pbi.2007.01.002

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  14 in total

1.  A specialized outer layer of the primary cell wall joins elongating cotton fibers into tissue-like bundles.

Authors:  Bir Singh; Utku Avci; Sarah E Eichler Inwood; Mark J Grimson; Jeff Landgraf; Debra Mohnen; Iben Sørensen; Curtis G Wilkerson; William G T Willats; Candace H Haigler
Journal:  Plant Physiol       Date:  2009-04-15       Impact factor: 8.340

Review 2.  Systems approaches to identifying gene regulatory networks in plants.

Authors:  Terri A Long; Siobhan M Brady; Philip N Benfey
Journal:  Annu Rev Cell Dev Biol       Date:  2008       Impact factor: 13.827

Review 3.  Gene expression analysis, proteomics, and network discovery.

Authors:  Sacha Baginsky; Lars Hennig; Philip Zimmermann; Wilhelm Gruissem
Journal:  Plant Physiol       Date:  2009-12-11       Impact factor: 8.340

4.  Identification of transcription factors linked to cell cycle regulation in Arabidopsis.

Authors:  Fatemeh Dehghan Nayeri
Journal:  Plant Signal Behav       Date:  2014

Review 5.  The potential of transcription factor-based genetic engineering in improving crop tolerance to drought.

Authors:  Roel C Rabara; Prateek Tripathi; Paul J Rushton
Journal:  OMICS       Date:  2014-08-13

Review 6.  Plant systems biology: insights, advances and challenges.

Authors:  Bhavisha P Sheth; Vrinda S Thaker
Journal:  Planta       Date:  2014-03-27       Impact factor: 4.116

7.  Extending MapMan Ontology to Tobacco for Visualization of Gene Expression.

Authors:  Maurice Ht Ling; Roel C Rabara; Prateek Tripathi; Paul J Rushton; Steven X Ge
Journal:  Dataset Pap Biol       Date:  2013

8.  Genetic analysis of central carbon metabolism unveils an amino acid substitution that alters maize NAD-dependent isocitrate dehydrogenase activity.

Authors:  Nengyi Zhang; Amit Gur; Yves Gibon; Ronan Sulpice; Sherry Flint-Garcia; Michael D McMullen; Mark Stitt; Edward S Buckler
Journal:  PLoS One       Date:  2010-04-01       Impact factor: 3.240

Review 9.  Manipulating large-scale Arabidopsis microarray expression data: identifying dominant expression patterns and biological process enrichment.

Authors:  David A Orlando; Siobhan M Brady; Jeremy D Koch; José R Dinneny; Philip N Benfey
Journal:  Methods Mol Biol       Date:  2009

10.  AGRONOMICS1: a new resource for Arabidopsis transcriptome profiling.

Authors:  Hubert Rehrauer; Catharine Aquino; Wilhelm Gruissem; Stefan R Henz; Pierre Hilson; Sascha Laubinger; Naira Naouar; Andrea Patrignani; Stephane Rombauts; Huan Shu; Yves Van de Peer; Marnik Vuylsteke; Detlef Weigel; Georg Zeller; Lars Hennig
Journal:  Plant Physiol       Date:  2009-12-23       Impact factor: 8.340

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