← BioTransfer GEO Dataset Finder
GEO series

Multilineage communication regulates human liver bud self-organization from pluripotency II

GSE96981 Mus musculus; Homo sapiens Expression profiling by high throughput sequencing 741 samples Submitted 2017/06/21 Platform GPL16791Platform GPL17021
Summary
Conventional 2-D differentiation from pluripotency fails to recapitulate cell interactions occurring during organogenesis. 3-D organoids generate complex organ-like tissues, however it is unclear how heterotypic interactions impact lineage identity. Here we use single-cell RNA-seq to reconstruct hepatocyte-like lineage progression from pluripotency in 2-D culture. We then derive 3-D liver bud (LB) organoids by reconstituting hepatic, stromal, and endothelial interactions, and deconstruct heterogeneity during LB development. We find that LB hepatoblasts diverge from the 2-D lineage, and express epithelial migration signatures characteristic of organ budding. We benchmark 3-D LBs against fetal and adult human liver scRNA-seq data, and find a striking correspondence between the 3-D LB and fetal liver cells. We use a receptor-ligand pairing analysis and a high-throughput inhibitor assay to interrogate signaling in LBs, and show that VEGF crosstalk potentiates endothelial network formation and hepatoblast differentiation. Our molecular dissection reveals interlineage communication regulating organoid development, and illuminates previously inaccessible aspects of human liver development.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE96981_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 741 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA380268 and SRA study SRP102427. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 741 more — browse all 741 samples with per-sample file links →

Similar datasets

Search all RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.