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Methodology for Constructing a Knowledgebase for Plant Gene Regulation Information.

Hadi Nayebi Gavgani1,2, Erich Grotewold1, John Gray3

  • 1Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA.

Methods in Molecular Biology (Clifton, N.J.)
|September 8, 2023
PubMed
Summary
This summary is machine-generated.

We developed a methodology for creating specialized plant gene regulatory knowledgebases, exemplified by GRASSIUS. This enables efficient access to crucial data on transcription factors and protein-DNA interactions for grass species, particularly maize.

Keywords:
DatabaseGRASSIUSGene regulationKnowledgebase methodologyPlant transcription factors

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Area of Science:

  • Bioinformatics
  • Plant Genomics
  • Molecular Biology

Background:

  • Biological data, especially from high-throughput omics technologies, is rapidly increasing.
  • Diverse and multi-omics data necessitate well-designed databases for organization and presentation.
  • Focused databases are crucial for researchers to efficiently access relevant data.

Purpose of the Study:

  • To describe a methodology for implementing plant gene regulatory knowledgebases.
  • To present the GRASSIUS knowledgebase as an example of this methodology.
  • To enable flexible organization, presentation, and expansion of plant gene regulatory data.

Main Methods:

  • Developed a methodology for creating specialized online databases.
  • Implemented the GRASSIUS knowledgebase focusing on grass species, especially maize (Zea mays).
  • Integrated data on transcription factors (TFs), co-regulators (CRs), and protein-DNA interactions.

Main Results:

  • Successfully implemented the GRASSIUS knowledgebase with data, query, and tool features.
  • GRASSIUS organizes and presents gene regulatory data for grass species.
  • The methodology allows for future dataset expansion.

Conclusions:

  • The described methodology is applicable to developing and updating plant gene regulatory knowledgebases.
  • GRASSIUS provides a valuable resource for researchers studying gene regulation in grasses.
  • The approach supports the growing need for specialized bioinformatic databases.