ArticleCurrent genomics2008
Internet Resources for Gene Expression Analysis in Arabidopsis thaliana.
Article in Current genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Genomic distribution and context dependent functionality of novel WRKY transcription factor binding sites.BMC genomics · 2022Article
- Unusual DNA-binding properties of the Arabidopsis thaliana WRKY50 transcription factor at target gene promoters.Plant cell reports · 2021Article
- Integrating bioinformatic resources to predict transcription factors interacting with cis-sequences conserved in co-regulated genes.BMC genomics · 2014Article
- Identification of a novel type of WRKY transcription factor binding site in elicitor-responsive cis-sequences from Arabidopsis thaliana.Plant molecular biology · 2014Article
- Integration of bioinformatics and synthetic promoters leads to the discovery of novel elicitor-responsive cis-regulatory sequences in Arabidopsis.Plant physiology · 2012Article
- AthaMap-assisted transcription factor target gene identification in Arabidopsis thaliana.Database : the journal of biological databases and curation · 2010Article
- AthaMap, integrating transcriptional and post-transcriptional data.Nucleic acids research · 2009Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
The number of online databases and web-tools for gene expression analysis in Arabidopsis thaliana has increased tremendously during the last years. These resources permit the database-assisted identification of putative cis-regulatory DNA sequences, their binding proteins, and the determination of common cis-regulatory motifs in coregulated genes. DNA binding proteins may be predicted by the type of cis-regulatory motif. Further questions of combinatorial control based on the interaction of DNA binding proteins and the colocalization of cis-regulatory motifs can be addressed. The database-assisted spatial and temporal expression analysis of DNA binding proteins and their target genes may help to further refine experimental approaches. Signal transduction pathways upstream of regulated genes are not yet fully accessible in databases mainly because they need to be manually annotated. This review focuses on the use of the AthaMap and PathoPlant((R)) databases for gene expression regulation analysis and discusses similar and complementary online databases and web-tools. Online databases are helpful for the development of working hypothesis and for designing subsequent experiments.
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