Literature DB >> 16441353

Microarray analysis of the transcriptome as a stepping stone towards understanding biological systems: practical considerations and perspectives.

Joseph D Clarke1, Tong Zhu.   

Abstract

DNA microarrays have been used to characterize plant transcriptomes to answer various biological questions. While many studies have provided significant insights, there has been great debate about the general reliability of the technology and data analysis. When compared to well-established transcript analysis technologies, such as RNA blot analysis or quantitative reverse transcription-PCR, discrepancies have frequently been observed. The reasons for these discrepancies often relate to the technical and experimental systems. This review-tutorial addresses common problems in microarray analysis and describes: (i) methods to maximize extraction of valuable biological information from the vast amount of microarray data and (ii) approaches to balance resource availability with high scientific standards and technological innovation with peer acceptability.

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Year:  2006        PMID: 16441353     DOI: 10.1111/j.1365-313X.2006.02668.x

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


  30 in total

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

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

2.  Stem transcriptome reveals mechanisms to reduce the energetic cost of shade-avoidance responses in tomato.

Authors:  Juan Ignacio Cagnola; Edmundo Ploschuk; Tomás Benech-Arnold; Scott A Finlayson; Jorge José Casal
Journal:  Plant Physiol       Date:  2012-08-07       Impact factor: 8.340

3.  Identification of genes involved in the response of Arabidopsis to simultaneous biotic and abiotic stresses.

Authors:  Nicky J Atkinson; Catherine J Lilley; Peter E Urwin
Journal:  Plant Physiol       Date:  2013-06-25       Impact factor: 8.340

4.  The association among gene expression responses to nine abiotic stress treatments in Arabidopsis thaliana.

Authors:  William R Swindell
Journal:  Genetics       Date:  2006-10-08       Impact factor: 4.562

5.  The power of the web in cancer drug discovery and clinical trial design: research without a laboratory?

Authors:  Christine Galustian; Angus G Dalgleish
Journal:  Cancer Inform       Date:  2010-02-18

6.  Transcriptome analysis of Hpa1Xoo transformed cotton revealed constitutive expression of genes in multiple signalling pathways related to disease resistance.

Authors:  Weiguo Miao; Xiben Wang; Congfeng Song; Yu Wang; Yonghong Ren; Jinsheng Wang
Journal:  J Exp Bot       Date:  2010-07-28       Impact factor: 6.992

7.  Suppression of pleiotropic effects of functional cryptochrome genes by Terminal Flower 1.

Authors:  Ana Sabrina Buchovsky; Bárbara Strasser; Pablo D Cerdán; Jorge J Casal
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

8.  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

9.  Low red/far-red ratios delay spike and stem growth in wheat.

Authors:  Cristina Cecilia Ugarte; Santiago Ariel Trupkin; Hernán Ghiglione; Gustavo Slafer; Jorge José Casal
Journal:  J Exp Bot       Date:  2010-05-23       Impact factor: 6.992

10.  Comparative analysis of missing value imputation methods to improve clustering and interpretation of microarray experiments.

Authors:  Magalie Celton; Alain Malpertuy; Gaëlle Lelandais; Alexandre G de Brevern
Journal:  BMC Genomics       Date:  2010-01-07       Impact factor: 3.969

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