ZenoFishDb

ZenoFishDb catalogs curated literature and structured datasets on zebrafish xenograft experiments to support cancer research by documenting injected cell lines, patient-derived xenografts (PDXs), molecular modifications, zebrafish strains, host modifications, and study-level visualizations.


Key Features:

  • Manually Curated Content: A manually curated collection of zebrafish xenograft studies and associated metadata.
  • Structured Tabular Dataset: Detailed study attributes captured in tables including injected cell lines, PDX injections, molecular modifications, zebrafish strains, and technical xenotransplantation parameters.
  • PDX Patient-Specific Records: Patient-specific information for PDXs recorded in tabular form to enable targeted queries and comparisons.
  • Experimental Manipulations Recorded: Annotation of reporters, RNA interference, overexpression, and mutant gene constructs applied in transplanted cancer cells, stem cells, and PDXs.
  • Host Modification Annotations: Documentation of specific host (zebrafish) modifications that distinguish experimental setups.
  • Data Visualizations: Generation of bar charts, pie charts, and graphical representations for study attributes and PDX-related data.

Scientific Applications:

  • Trend Analysis: Enables exploration of emerging trends in zebrafish xenotransplantation methodologies and model usage.
  • Study Identification by Criteria: Supports identification of relevant studies based on technical or biological criteria such as cell line, genetic manipulation, or host strain.
  • Data-Driven Experimental Design: Facilitates visualization of complex datasets to aid hypothesis generation and experimental planning in cancer biology.

Methodology:

Implemented using the R Shiny platform.

Topics

Details

Programming Languages:
R
Added:
1/18/2021
Last Updated:
3/20/2021

Operations

Publications

Targen S, Kaya T, Avci ME, Gunes D, Keskus AG, Konu O. ZenoFishDb v1.1: A Database for Xenotransplantation Studies in Zebrafish. Zebrafish. 2020;17(5):305-318. doi:10.1089/zeb.2020.1869. PMID:32931381.