AbslraelAfter the completion of the genomic seq uence of Arabidopsis tha liana ; it is now a priority to identify all the genes, their patterns of expression and functions. Transcript profiling is playing a substantial role in annotating and determining gene functions, having advanced from one-gene-at-a-time methods to technologies that provide a holistic view of the genome. In this review. comprehensive transcript profiling methodologies are described, includ ing two that arc used extensively by the authors. cDNA-APLP and eDNA microarraying. Both these technologie s illustrate the require ment to integrate molecular biology. automation, LlMS and data analysis. With so much uncharted territory in the Ara bidopsis genome. and the desire to tackle complex biological traits, such integra ted systems will provide a rich source of data for the correlative, functional annotation of genes.Abbreviations: c DNA-AFLP, eDNA amplified fragmen t length polymorp hism; EST, expressed sequence tag; LlMS, laboratory information management system; MPSS. massively parallel signature seq uencing; PCR, polymerase chain reaction; RDA, rep resentational difference analysis; SAGE, serial analysis of gene expression; SSH, suppression subtractive hybridization -..J -..J

After the completion of the genomic sequence of Arabidopsis thaliana, it is now a priority to identify all the genes, their patterns of expression and functions. Transcript profiling is playing a substantial role in annotating and determining gene functions, having advanced from one-gene-at-a-time methods to technologies that provide a holistic view of the genome. In this review, comprehensive transcript profiling methodologies are described, including two that are used extensively by the authors, cDNA-AFLP and cDNA microarraying. Both these technologies illustrate the requirement to integrate molecular biology, automation, LIMS and data analysis. With so much uncharted territory in the Arabidopsis genome, and the desire to tackle complex biological traits, such integrated systems will provide a rich source of data for the correlative, functional annotation of genes.