Spectacle

Spectacle enables exploration and analysis of ocular single-cell RNA sequencing (scRNA-seq) data to investigate cell-type-specific gene expression and transcriptomic subpopulations.

Key Features:

• R package integration: Leverages the local R package cellcuratoR and the Shiny framework to generate dynamic visualizations of single-cell expression data.
• Curated pre-processed datasets: Includes five curated ocular scRNA-seq datasets for analysis.
• Differential expression analysis: Supports flexible differential expression analyses to compare gene expression across topographic regions and disease statuses.
• Cell-type and subpopulation analysis: Enables identification of cell types expressing specific genes and detection of transcriptomic subpopulations.

Scientific Applications:

• Rare cell-type signature identification: Identify unique expression signatures for rare cell types within ocular tissues using scRNA-seq data.
• Condition- and region-specific expression analysis: Characterize how gene expression varies across topographic regions and disease statuses.
• Cell-type-specific and subpopulation studies: Study cell-type-specific expression patterns and transcriptomic subpopulations in ocular scRNA-seq datasets.

Methodology:

Uses the R package cellcuratoR with the Shiny framework to create dynamic visualizations of pre-processed ocular scRNA-seq datasets and supports flexible differential expression analyses across topographic regions and disease statuses to identify cell-type-specific expression and transcriptomic subpopulations.