PLX033021
GSE119060: A fully automated high throughput-workflow for human neural organoids
- Organsim human
- Type RNASEQ
- Target gene
- Project ARCHS4
Recent advances in stem cell technology have led to the development of three-dimensional (3D) culture systems called organoids, which have fueled hopes to bring about the next generation of more physiologically relevant high throughput screens (HTS). However, the adaptation of established organoid protocols for HTS applications has so far been elusive. Here, we present a fully scalable, HTS-compatible workflow for the automated generation, maintenance, whole mount staining, clearing, and optical analysis of human neural organoids generated from neural precursor cells in a standard 96-well format. By combining organoid generation and analysis steps in an automated fashion, we can perform quantitative whole-organoid high content imaging with single cell resolution. The resulting organoids are highly homogeneous with regard to their morphology, size, global gene expression, cellular composition, and structure. Calcium imaging suggests organoid-wide synchronized functional coupling. The scalability of our approach has the potential to form the basis for 3D tissue-based screening in a variety of applications including drug development, toxicology studies, and disease modeling. SOURCE: Jie Wu (jie.wu@dcb.unibe.ch) - Department of Chemistry and Biochemistry
View on GEOView in PlutoKey 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 MoreAnalyze 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 analysisView 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