Unknown

Dataset Information

0

Chemically-defined generation of human hemogenic endothelium and definitive hematopoietic progenitor cells.


ABSTRACT: Human hematopoietic stem cells (HSCs), which arise from aorta-gonad-mesonephros (AGM), are widely used to treat blood diseases and cancers. However, a technique for their robust generation in vitro is still missing. Here we show temporal manipulation of Wnt signaling is sufficient and essential to induce AGM-like hematopoiesis from human pluripotent stem cells. TGFβ inhibition at the stage of aorta-like SOX17+CD235a- hemogenic endothelium yielded AGM-like hematopoietic progenitors, which closely resembled primary cord blood HSCs at the transcriptional level and contained diverse lineage-primed progenitor populations via single cell RNA-sequencing analysis. Notably, the resulting definitive cells presented lymphoid and myeloid potential in vitro; and could home to a definitive hematopoietic site in zebrafish and rescue bloodless zebrafish after transplantation. Engraftment and multilineage repopulating activities were also observed in mouse recipients. Together, our work provided a chemically-defined and feeder-free culture platform for scalable generation of AGM-like hematopoietic progenitor cells, leading to enhanced production of functional blood and immune cells for various therapeutic applications.

SUBMITTER: Chang Y 

PROVIDER: S-EPMC10065832 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications


Human hematopoietic stem cells (HSCs), which arise from aorta-gonad-mesonephros (AGM), are widely used to treat blood diseases and cancers. However, a technique for their robust generation in vitro is still missing. Here we show temporal manipulation of Wnt signaling is sufficient and essential to induce AGM-like hematopoiesis from human pluripotent stem cells. TGFβ inhibition at the stage of aorta-like SOX17<sup>+</sup>CD235a<sup>-</sup> hemogenic endothelium yielded AGM-like hematopoietic prog  ...[more]

Similar Datasets

| S-EPMC9792952 | biostudies-literature
| S-EPMC4729203 | biostudies-literature
| S-EPMC7705709 | biostudies-literature
| S-EPMC5940870 | biostudies-literature
| S-EPMC6234921 | biostudies-literature
| S-EPMC4939749 | biostudies-literature
| S-EPMC2923359 | biostudies-literature
| S-EPMC4169698 | biostudies-literature
| S-EPMC11532904 | biostudies-literature
| S-EPMC9154343 | biostudies-literature