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Human limbs emerge during the fourth post-conception week as mesenchymal buds, which develop into fully formed limbs over the subsequent months1. This process is orchestrated by numerous temporally and spatially restricted gene expression programmes, making congenital alterations in phenotype common2. Decades of work with model organisms have defined the fundamental mechanisms underlying vertebrate limb development, but an in-depth characterization of this process in humans has yet to be performed. Here we detail human embryonic limb development across space and time using single-cell and spatial transcriptomics. We demonstrate extensive diversification of cells from a few multipotent progenitors to myriad differentiated cell states, including several novel cell populations. We uncover two waves of human muscle development, each characterized by different cell states regulated by separate gene expression programmes, and identify musculin (MSC) as a key transcriptional repressor maintaining muscle stem cell identity. Through assembly of multiple anatomically continuous spatial transcriptomic samples using VisiumStitcher, we map cells across a sagittal section of a whole fetal hindlimb. We reveal a clear anatomical segregation between genes linked to brachydactyly and polysyndactyly, and uncover transcriptionally and spatially distinct populations of the mesenchyme in the autopod. Finally, we perform single-cell RNA sequencing on mouse embryonic limbs to facilitate cross-species developmental comparison, finding substantial homology between the two species.

Original publication

DOI

10.1038/s41586-023-06806-x

Type

Journal

Nature

Publication Date

11/2024

Volume

635

Pages

668 - 678

Keywords

Animals, Female, Humans, Mice, Atlases as Topic, Basic Helix-Loop-Helix Transcription Factors, Brachydactyly, Cell Differentiation, Extremities, Fetus, Gene Expression Regulation, Developmental, Leg, Limb Buds, Mesoderm, Muscle Development, Repressor Proteins, Single-Cell Analysis, Single-Cell Gene Expression Analysis, Spatio-Temporal Analysis, Stem Cells, Syndactyly, Transcriptome