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Updated: Sep 28, 2025

Yeast As a Chassis for Developing Functional Assays to Study Human P53
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TargetGeneReg 2.0: a comprehensive web-atlas for p53, p63, and cell cycle-dependent gene regulation

Martin Fischer1, Robert Schwarz1, Konstantin Riege1

  • 1Computational Biology Group, Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Beutenbergstraße 11, 07745 Jena, Germany.

NAR Cancer
|March 30, 2022
PubMed

Insights

TargetGeneReg 2.0 enhances a web resource for cancer research, integrating gene expression and DNA binding data. This updated database aids in discovering novel regulatory mechanisms in p53 and cell cycle signaling pathways.

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • The p53 and cell cycle signaling pathways are crucial in cellular regulation and frequently altered in diseases such as cancer.
  • Existing web resources like TargetGeneReg.org have facilitated biological discovery and identification of regulatory mechanisms.

Purpose of the Study:

  • To present a substantial upgrade, TargetGeneReg 2.0, to an existing web-atlas.
  • To expand the database to include non-coding genes and novel transcription factors, specifically ΔNp63 and RFX7.
  • To provide a resource for dissecting gene responses to p53, ΔNp63, and cell cycle signaling.

Main Methods:

  • Integration of gene expression profiling data with transcription factor DNA binding data.
  • Development of TargetGeneReg 2.0 to analyze gene responses across different conditions.
  • Demonstration of the resource's capabilities using realistic examples to showcase its power and intuitive layout.

Main Results:

  • TargetGeneReg 2.0 offers an extended database incorporating non-coding genes and transcription factors ΔNp63 and RFX7.
  • The combined data allows for the determination of gene responses to p53, ΔNp63, and cell cycle signaling.
  • The enhanced resource facilitates the dissection of common, cell type-specific, and treatment-specific effects.

Conclusions:

  • TargetGeneReg 2.0 provides a powerful and intuitive platform for researchers studying gene regulation.
  • The upgraded database aids in identifying promising candidate genes and validating findings in cancer and other diseases.
  • This resource empowers the discovery of novel biological insights and regulatory mechanisms.

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