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E. J. Kok, N. L. W. Franssen-Van Hal, L. N. W. Winnubst, E. H. M. Kramer, W. T. P. Dijksma, H. A. Kuiper and J. Keijer, “Assessment of Representational Difference Analysis (RDA) to Construct Informative cDNA Microarrays for Gene Expression Analysis of Species with Limited Transcriptome Information, Using Red and Green Tomatoes as a Model,” Journal of Plant Physiology, Vol. 164, No. 3, 2007, pp. 337-349.
http://dx.doi.org/10.1016/j.jplph.2006.02.013

has been cited by the following article:

• TITLE: Gene Expression: A Review on Methods for the Study of Defense-Related Gene Differential Expression in Plants

  AUTHORS: Alice Casassola, Sandra Patussi Brammer, Márcia Soares Chaves, José Antônio Martinelli, Magali Ferrari Grando, Norimar D’Ávila Denardin

  KEYWORDS: Transcriptomics; cDNA; Metabolic Routes; Plant Defense; Gene Expression; Molecular Biology

  JOURNAL NAME: American Journal of Plant Sciences, Vol.4 No.12C, December 25, 2013

  ABSTRACT: The plant genes involved in cellular signaling and metabolism have not been fully identified, while the function(s) of many of those which have are as yet incompletely characterized. Gene expression analysis allows the identification of genes and the study of their relationship with cellular processes. There are several options available for studying gene expression, including the use of cDNA and microarray libraries and techniques such as suppression subtractive hybridization (SSH), differential display (DD), RNA fingerprinting by arbitrary primed PCR (RAP), expressed sequence tags (EST), serial analysis of gene expression (SAGE), representational difference analysis (RDA), cDNA-amplified fragment length polymorphism (cDNA-AFLP) and RNA sequencing (RNA-Seq). Focusing on defense-related processes in plants, we present a brief review and examples of each of these methodologies and their advantages and limitations regarding the study of plant gene expression.