TEDD 2.0: an advanced temporal gene expression database enabled by in-silico functional analyses for developmental...

Area of Science:

• Developmental Biology
• Genomics
• Bioinformatics

Background:

• Single-cell omics data offers insights into gene dynamics during development.
• Current databases lack accessible time-series data and robust in-silico analysis tools.

Purpose of the Study:

• To present TEDD 2.0, an enhanced Temporal Expression during Development Database.
• To provide advanced in-silico tools for analyzing developmental gene expression patterns.

Main Methods:

• Integrated over 15 million cells from nine species across 81 tissue types and 42 time points.
• Developed three new analytical modules: virtual gene knockout, cross-species integration, and trajectory inference with marker gene analysis.
• Utilized cloud-based computational resources for an accessible interface.

Main Results:

• TEDD 2.0 facilitates characterization of developmental lineages and functional roles of temporally regulated genes.
• Cross-species integration reveals conserved and divergent temporal gene expression patterns.
• Trajectory inference identifies developmental lineages and key marker genes for cell fate decisions.

Conclusions:

• TEDD 2.0 is a powerful platform for exploring temporal gene expression in development.
• The database aids in deciphering regulatory mechanisms and guiding research design and discovery.
• Enhanced in-silico tools improve the analysis of developmental processes across species.