OrganogenesisDB: A Comprehensive Database Exploring the Cell-Type Identities and Gene Expression Dynamics during...

Area of Science:

• Developmental Biology
• Genomics
• Bioinformatics

Background:

• Organogenesis is crucial for understanding cellular differentiation and maturation during embryonic development.
• Single-cell transcriptomics has generated vast datasets for studying organogenesis.
• A centralized resource is needed to integrate and analyze this data.

Purpose of the Study:

• To develop OrganogenesisDB, a comprehensive database for exploring cell-type identification and gene expression dynamics during organogenesis.
• To provide a platform for analyzing single-cell RNA sequencing data from diverse organogenesis studies.
• To facilitate the understanding of cell lineage determination and regulatory mechanisms in organ development.

Main Methods:

• Collected and curated single-cell RNA sequencing data from 49 published datasets, totaling over 1.4 million cells.
• Manually curated 3324 cell markers for 1120 cell types across 9 human and 4 mouse organs.
• Integrated various analysis tools for cell-type annotation, gene expression dynamics, and pattern mining.

Main Results:

• OrganogenesisDB hosts extensive single-cell RNA sequencing data covering various developmental stages.
• The database includes manually curated cell markers and cell types for multiple human and mouse organs.
• Analysis tools within OrganogenesisDB assist in understanding cell populations and identifying key regulatory genes.

Conclusions:

• OrganogenesisDB serves as a critical resource for researchers studying organogenesis and embryonic development.
• The database facilitates cell-type identification, gene expression analysis, and mechanistic insights into organ development.
• This resource aids in deciphering cell lineage determination and uncovering the molecular mechanisms underlying organogenesis.