PathoPlant TU-Logo
(Because of my retirement, this database may be switched of any time after July 1st 2023. Reinhard Hehl)
PathoPlant is a database on plant-pathogen interactions and components of signal transduction pathways related to plant pathogenesis. PathoPlant also harbors gene expression data from Arabidopsis thaliana microarray experiments to enable searching for specific genes regulated upon certain stimuli like pathogen infection, elicitor treatment, or abiotic stress. Validation of short DNA sequences as cis-elements responsive to different stimuli can also be performed in PathoPlant.
Please cite PathoPlant and results obtained by the use of the database as:

Bolívar JC, Machens F, Brill Y, Romanov A, Bülow L, Hehl R. 2014. ‘In silico expression analysis’, a novel PathoPlant web-tool to identify abiotic and biotic stress conditions associated with specific cis-regulatory sequences. Database (Oxford), 2014:bau030.  PDF (1500KB)  PubMed

Bülow L, Schindler M, Hehl R. 2007. PathoPlant: a platform for microarray expression data to analyze co-regulated genes involved in plant defense responses. Nucleic Acids Res. 35: D841-845.  PDF (310 KB)  PubMed

Bülow L, Schindler M, Choi C, Hehl R. 2004. PathoPlant: a database on plant-pathogen interactions. In Silico Biol. 4: 0044.  PDF (142 KB)  PubMed

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