Literature DB >> 16275051

Microarray expression profiling resources for plant genomics.

Willem Albert Rensink1, C Robin Buell.   

Abstract

Large volumes of genomic data have been generated for several plant species over the past decade, including structural sequence data and functional annotation at the genome level. Various technologies such as expressed sequence tags (ESTs), massively parallel signature sequencing (MPSS) and microarrays have been used to study gene expression and to provide functional data for many genes simultaneously. This review focuses on recent advances in the application of microarrays in plant genomic research and in gene expression databases available for plants. Large sets of Arabidopsis microarray data are publicly available. Recently developed array platforms are currently being used to generate genome-wide expression profiles for several crop species. Coupled to these platforms are public databases that provide access to these large-scale expression data, which can be used to aid the functional discovery of gene function.

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Year:  2005        PMID: 16275051     DOI: 10.1016/j.tplants.2005.10.003

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  39 in total

1.  Complex genetic, photothermal, and photoacoustic analysis of nanoparticle-plant interactions.

Authors:  Mariya V Khodakovskaya; Kanishka de Silva; Dmitry A Nedosekin; Enkeleda Dervishi; Alexandru S Biris; Evgeny V Shashkov; Ekaterina I Galanzha; Vladimir P Zharov
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-28       Impact factor: 11.205

2.  Molecular characterization, expression pattern, and functional analysis of the OsIRL gene family encoding intracellular Ras-group-related LRR proteins in rice.

Authors:  Changjun You; Xiaoxia Dai; Xingwang Li; Lei Wang; Guoxing Chen; Jinghua Xiao; Changyin Wu
Journal:  Plant Mol Biol       Date:  2010-10-14       Impact factor: 4.076

3.  Harnessing Next Generation Sequencing in Climate Change: RNA-Seq Analysis of Heat Stress-Responsive Genes in Wheat (Triticum aestivum L.).

Authors:  Ranjeet R Kumar; Suneha Goswami; Sushil K Sharma; Yugal K Kala; Gyanendra K Rai; Dwijesh C Mishra; Monendra Grover; Gyanendra P Singh; Himanshu Pathak; Anil Rai; Viswanathan Chinnusamy; Raj D Rai
Journal:  OMICS       Date:  2015-09-25

4.  Genevestigator. Facilitating web-based gene-expression analysis.

Authors:  Aleel K Grennan
Journal:  Plant Physiol       Date:  2006-08       Impact factor: 8.340

Review 5.  Unraveling the dynamic transcriptome.

Authors:  Siobhan M Brady; Terri A Long; Philip N Benfey
Journal:  Plant Cell       Date:  2006-09       Impact factor: 11.277

6.  Feasibility of transferring fluorescent in situ hybridization probes to an 18S rRNA gene phylochip and mapping of signal intensities.

Authors:  Katja Metfies; Linda K Medlin
Journal:  Appl Environ Microbiol       Date:  2008-03-07       Impact factor: 4.792

7.  Heat and water stress induce unique transcriptional signatures of heat-shock proteins and transcription factors in grapevine.

Authors:  Margarida Rocheta; Jörg D Becker; João L Coito; Luísa Carvalho; Sara Amâncio
Journal:  Funct Integr Genomics       Date:  2014-03       Impact factor: 3.410

8.  DNA chip analysis in diverse organisms with unsequenced genomes.

Authors:  Ross N Nazar; Ping Chen; Doug Dean; Jane Robb
Journal:  Mol Biotechnol       Date:  2010-01       Impact factor: 2.695

9.  An oligo-based microarray offers novel transcriptomic approaches for the analysis of pathogen resistance and fruit quality traits in melon (Cucumis melo L.).

Authors:  Albert Mascarell-Creus; Joaquin Cañizares; Josep Vilarrasa-Blasi; Santiago Mora-García; José Blanca; Daniel Gonzalez-Ibeas; Montserrat Saladié; Cristina Roig; Wim Deleu; Belén Picó-Silvent; Nuria López-Bigas; Miguel A Aranda; Jordi Garcia-Mas; Fernando Nuez; Pere Puigdomènech; Ana I Caño-Delgado
Journal:  BMC Genomics       Date:  2009-10-12       Impact factor: 3.969

10.  Heterologous oligonucleotide microarrays for transcriptomics in a non-model species; a proof-of-concept study of drought stress in Musa.

Authors:  Mark W Davey; Neil S Graham; Bartel Vanholme; Rony Swennen; Sean T May; Johan Keulemans
Journal:  BMC Genomics       Date:  2009-09-16       Impact factor: 3.969

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