ESCDb

ESCDb consolidates datasets on human and mouse embryonic stem cells (ESCs) and embryonal carcinoma (EC) cell lines to support analysis of transcription factor regulation and gene‑regulatory modules.


Key Features:

  • Dataset Collection: Aggregates perturbation experiments including knock-down and overexpression studies and ChIP experiments conducted on ESCs and EC cell lines.
  • Transcription Factor Binding Data: Integrates ChIP-PET, ChIP-chip, and ChIP-seq datasets for detailed mapping of transcription factor binding sites.
  • OCT4 Network Analysis: Provides refined lists of OCT4 targets identified through CHIP-on-chip analysis and validated by comparison with existing datasets.
  • Motif-Specific Modules: Identifies a POU-motif associated with OCT4 binding and defines six motif-driven regulatory modules relevant to stem cell expression programs.
  • Validation of Targets: Includes validated targets such as NANOG with an evolutionarily conserved OCT4-SOX2 binding motif and genes like USP44 and GADD45G lacking the classical HMG motif but implicated in cell cycle regulation and development.
  • Systems Biology Integration: Integrates human and mouse ESC and EC datasets to enable comparative analysis of OCT4 targets across cell types.

Scientific Applications:

  • Regenerative Medicine: Facilitates analysis of transcription factor networks and target genes relevant to stem cell self-renewal and differentiation.
  • Cancer Research: Supports investigation of molecular mechanisms in embryonal carcinoma (EC) cell lines related to proliferation and differentiation.
  • Stem Cell Biology: Enables exploration of OCT4-centered regulatory networks, motif-driven modules, and validated targets underlying stem cell maintenance.

Methodology:

Collection of ChIP experiments and RNAi-based ablation studies with dataset integration performed using peak analysis programs.

Topics

Details

License:
Freeware
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
1/22/2015
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Aggregation

Publications

Jung M, Peterson H, Chavez L, Kahlem P, Lehrach H, Vilo J, Adjaye J. A Data Integration Approach to Mapping OCT4 Gene Regulatory Networks Operative in Embryonic Stem Cells and Embryonal Carcinoma Cells. PLoS ONE. 2010;5(5):e10709. doi:10.1371/journal.pone.0010709. PMID:20505756. PMCID:PMC2873957.

Documentation