PLAE Web App Enables Powerful Searching and Multiple Visualizations Across One Million Unified Single-Cell Ocular Transcriptomes.

ABSTRACT:

Purpose

To create a high-performance reactive web application to query single-cell gene expression data across cell type, species, study, and other factors.

Methods

We updated the content and structure of the underlying data (single cell Eye in a Disk [scEiaD]) and wrote the web application PLAE (https://plae.nei.nih.gov) to visualize and explore the data.

Results

The new portal provides quick visualization of over a million individual cells from vertebrate eye and body transcriptomes encompassing four species, 60 cell types, six ocular tissues, and 23 body tissues across 35 publications. To demonstrate the value of this unified pan-eye dataset, we replicated known neurogenic and cone macula markers in addition to proposing six new cone human region markers.

Conclu

SUBMITTER: Swamy VS 

PROVIDER: S-EPMC10578359 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature