DevelopmentDevelopmental BiologyPeer-reviewed journal article
Defining the signalling determinants of a posterior ventral spinal cord identity in human neuromesodermal progenitor derivatives
Matthew Wind, Antigoni GogolouiD, Ichcha ManipuriD, Ilaria GranataiD, Larissa Butler, Peter W. AndrewsiD, Ivana BarbariciD, Ke NingiD, Mario Rosario GuarracinoiD, Marysia PlaczekiD, Anestis TsakiridisiD
Abstract
The anteroposterior axial identity of motor neurons (MNs) determines their functionality and vulnerability to neurodegeneration. Thus it is a critical parameter in the design of strategies aiming to produce MNs from human pluripotent stem cells (hPSCs) for regenerative medicine and disease modelling applications. However, the in vitro generation of posterior spinal cord MNs has been challenging. Although the induction of cells resembling neuromesodermal progenitors (NMPs), the bona fide precursors of the mammalian spinal cord, offers a promising solution, the progressive specification of posterior MNs from these cells is not well-defined. Here we determine the signals guiding the transition of human NMP-like cells toward posterior ventral spinal cord neurectoderm. We show that combined WNT-FGF activities drive a posterior dorsal early neural state while suppression of TGFβ-BMP signalling pathways, combined with SHH stimulation, promotes a ventral identity. Based on these results, we define an optimised protocol for the generation of posterior MNs that can efficiently integrate within the neural tube of chick embryos. We expect that our findings will facilitate the functional comparison of hPSC-derived spinal cord cells of distinct axial identities.Competing Interest StatementThe authors have declared no competing interest.View Full Text
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: trajectory inference
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 26
- FWCI
- 1.65
- Field percentile
- top 16%
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