PLatform for Analysis of scEiad (PLAE)
Resources and Data
The retina itself isn't a uniform tissue - it has over 10 major cell types. A wide variety of neural cell types, with distinct roles in interpreting and transmitting the visual signal to the brain, support the cones and rods which convert light into the signal. And the RPE and vasculature support the high energetic needs of the retina while the clear lens and cornea shape the light onto it.
scEiaD is a meta-atlas that allows researchers to better understand the retina by compiling 1.1 million single cell eye and body tissue transcriptomes across 45 studies, 37 publications, and 4 species. It has deep metadata mining, rigorous quality control analysis, differential gene expression testing, and deep learning based batch effect correction in a unified bioinformatic framework. This allows researchers to analyze the universe of ocular single cell expression information in one location.
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PLAE (PLatform for Analysis of scEiad) Dataset
Look up gene expression by retina cell type across loads of different studies, four organisms, and multiple developmental stages.