DaniocellDesktop: for Interactive Reanalysis of Wild-Type Zebrafish Single-Cell Genomic Data

Area of Science:

• Developmental Biology
• Genomics
• Bioinformatics

Background:

• Single-cell RNA sequencing (scRNA-seq) provides high-resolution gene expression data.
• Understanding early zebrafish development requires detailed cell-type-specific gene expression analysis.
• Reanalysis of existing large-scale scRNA-seq datasets can yield novel biological insights.

Purpose of the Study:

• To develop a user-friendly desktop application for reanalyzing a large-scale scRNA-seq dataset of early zebrafish development.
• To enable researchers without programming expertise to explore cell-type-specific gene expression patterns.
• To facilitate the identification of differentially expressed genes and visualization of gene expression dynamics.

Main Methods:

• Development of DaniocellDesktop, a cross-platform interactive desktop application.
• Utilizing a previously published 462,243-cell scRNA-seq dataset from wild-type zebrafish embryos (0-5 days post-fertilization).
• Implementation of features for cell population redefinition, differential gene expression analysis, and various plotting functions.

Main Results:

• DaniocellDesktop successfully facilitates the reanalysis of the comprehensive zebrafish development scRNA-seq dataset.
• Users can redefine cell populations and identify novel differentially expressed genes.
• The application generates publication-ready plots illustrating gene expression patterns, co-expression, and temporal dynamics.

Conclusions:

• DaniocellDesktop empowers broader accessibility to complex scRNA-seq data analysis.
• The tool enhances the potential for new discoveries in zebrafish developmental gene expression.
• It provides a valuable resource for researchers studying early vertebrate development.