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
Inputs
Outputs
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.