PLX049600

GSE119274: Generation, transcriptome profiling, and functional validation of cone-enriched human retinal organoids

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

The macula of the retina has a high ratio of cones to rods and is critical for central vision and visual acuity. Macula degenerations affect vision the most and are incurable. Here we report the generation, transcriptome profiling, and functional validation of cone-enriched human retinal organoids differentiated from hESCs. Transcriptome profiling using bulk RNA-seq demonstrated that retinal differentiation in vitro recapitulated retinogenesis in vivo in the temporal expression of cell differentiation markers and retinal disease genes, as well as in mRNA alternative splicing. Single-cell RNA-seq of 8-month retinal organoids identified clusters of cone and rod photoreceptors and confirmed the cone enrichment initially revealed by immunostaining. Notably, comparisons of single-cell transcriptomes demonstrated the similarity between retinal organoids and human macula in cones and rods. Cones in retinal organoids exhibited electrophysiological functions. Collectively, we have established cone-enriched retinal organoids and a reference of transcriptomes that are rich resources for retinal studies. SOURCE: Sangbae Kim (sangbkim22@gmail.com) - Baylor Colleage of Medicine

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team