Literature DB >> 15752070

PathoPlant: a database on plant-pathogen interactions.

Lorenz Bülow1, Martin Schindler, Claudia Choi, Reinhard Hehl.   

Abstract

Pathogen recognition and signal transduction during plant pathogenesis is essential for the activation of plant defense mechanisms. To facilitate easy access to published data and to permit comparative studies of different pathogen response pathways, a database is indispensable to give a broad overview of the components and reactions so far known. PathoPlant has been developed as a relational database to display relevant components and reactions involved in signal transduction related to plant-pathogen interactions. On the organism level, the tables 'plant', 'pathogen' and 'interaction' are used to describe incompatible interactions between plants and pathogens or diseases. On the molecular level, plant pathogenesis related information is organized in PathoPlant's main tables 'molecule', 'reaction' and 'location'. Signal transduction pathways are modeled as consecutive sequences of known molecules and corresponding reactions. PathoPlant entries are linked to associated internal records as well as to entries in external databases such as SWISS-PROT, GenBank, PubMed, and TRANSFAC. PathoPlant is available as a web-based service at http://www.pathoplant.de.

Mesh:

Year:  2004        PMID: 15752070

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  13 in total

1.  Identification of a novel type of WRKY transcription factor binding site in elicitor-responsive cis-sequences from Arabidopsis thaliana.

Authors:  Fabian Machens; Marlies Becker; Felix Umrath; Reinhard Hehl
Journal:  Plant Mol Biol       Date:  2013-10-09       Impact factor: 4.076

2.  The laccase multigene family in Arabidopsis thaliana: towards addressing the mystery of their gene function(s).

Authors:  Phanikanth V Turlapati; Kye-Won Kim; Laurence B Davin; Norman G Lewis
Journal:  Planta       Date:  2010-11-10       Impact factor: 4.116

3.  Integration of bioinformatics and synthetic promoters leads to the discovery of novel elicitor-responsive cis-regulatory sequences in Arabidopsis.

Authors:  Jeannette Koschmann; Fabian Machens; Marlies Becker; Julia Niemeyer; Jutta Schulze; Lorenz Bülow; Dietmar J Stahl; Reinhard Hehl
Journal:  Plant Physiol       Date:  2012-06-28       Impact factor: 8.340

4.  PHI-base: a new database for pathogen host interactions.

Authors:  Rainer Winnenburg; Thomas K Baldwin; Martin Urban; Chris Rawlings; Jacob Köhler; Kim E Hammond-Kosack
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

5.  AthaMap web tools for the analysis and identification of co-regulated genes.

Authors:  Claudia Galuschka; Martin Schindler; Lorenz Bülow; Reinhard Hehl
Journal:  Nucleic Acids Res       Date:  2006-12-05       Impact factor: 16.971

6.  PathoPlant: a platform for microarray expression data to analyze co-regulated genes involved in plant defense responses.

Authors:  Lorenz Bülow; Martin Schindler; Reinhard Hehl
Journal:  Nucleic Acids Res       Date:  2006-11-11       Impact factor: 16.971

7.  AthaMap, integrating transcriptional and post-transcriptional data.

Authors:  Lorenz Bülow; Stefan Engelmann; Martin Schindler; Reinhard Hehl
Journal:  Nucleic Acids Res       Date:  2008-10-08       Impact factor: 16.971

8.  PMTED: a plant microRNA target expression database.

Authors:  Xiuli Sun; Boquan Dong; Lingjie Yin; Rongzhi Zhang; Wei Du; Dongfeng Liu; Nan Shi; Aili Li; Yanchun Liang; Long Mao
Journal:  BMC Bioinformatics       Date:  2013-06-03       Impact factor: 3.169

9.  Internet Resources for Gene Expression Analysis in Arabidopsis thaliana.

Authors:  Reinhard Hehl; Lorenz Bülow
Journal:  Curr Genomics       Date:  2008-09       Impact factor: 2.236

10.  'In silico expression analysis', a novel PathoPlant web tool to identify abiotic and biotic stress conditions associated with specific cis-regulatory sequences.

Authors:  Julio C Bolívar; Fabian Machens; Yuri Brill; Artyom Romanov; Lorenz Bülow; Reinhard Hehl
Journal:  Database (Oxford)       Date:  2014-04-10       Impact factor: 3.451

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