Dataset Information

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.

Conclusions

The PLAE web application offers the eye community a powerful and quick means to test hypotheses related to gene expression across a highly diverse, community-derived database.

Translational relevance

The PLAE resource enables any researcher or clinician to study and research gene expression patterning across a wide variety of curated ocular cell types with a responsive web app.

SUBMITTER: Swamy VS

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

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Swamy Vinay S VS Batz Zachary A ZA McGaughey David M DM

Translational vision science & technology 20230901 9

<h4>Purpose</h4>To create a high-performance reactive web application to query single-cell gene expression data across cell type, species, study, and other factors.<h4>Methods</h4>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.<h4>Results</h4>The new portal provides quick visualization of over a million individual cells from vertebrate eye and body tra ...[more]

PMID: 37747415

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Dataset Information

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

Purpose

Methods

Results

Conclusions

Translational relevance

Publications

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

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