A Multi-omic Atlas of Human Embryonic Skeletal Development

github

Bone and joint formation in the developing skeleton rely on co-ordinated differentiation of progenitors in the nascent developing limbs and joints. The cell states, epigenetic processes and key regulatory factors underlying lineage commitment to osteogenic, chondrogenic and mesenchymal cell states during ossification and joint formation remain poorly understood and are largely unexplored in human studies. Here, we apply paired single-nuclei transcriptional and epigenetic profiling of 336,000 droplets, in addition to spatial transcriptomics, to construct a comprehensive atlas of human bone, cartilage and joint development in the shoulder, hip, knee and cranium from 5 to 11 post-conception weeks. Spatial mapping of cell clusters to our highly multiplexed in situ sequencing (ISS) data using our newly developed tool ISS-Patcher revealed new cellular mechanisms of zonation driving bone and joint formation. Combined modelling of chromatin accessibility and RNA expression allowed for the identification of the transcriptional and epigenetic regulatory landscapes that govern differentiation of various mesenchymal lineages including osteogenic and chondrogenic lineages, and novel chondrocyte cell states. In particular, we define regionally distinct limb and cranial osteoprogenitor populations and trajectories across the fetal skeleton and characterise differential regulatory networks that govern intramembranous and endochondral ossification. We introduce SNP2Cell, a tool to link cell-type specific regulatory networks to numerous polygenic traits such as osteoarthritis. We also conduct in silico perturbations of genes that cause monogenic craniosynostosis and implicate potential pathogenic cell states and disease mechanisms involved. This work forms a detailed and dynamic regulatory atlas of human fetal skeletal maturation, and advances our fundamental understanding of cell fate determination in human skeletal development.

Contact
Ken To, Lijiang Fei, Jan Patrick Pett
Release
9 October 2024
Lab
Teichmann Lab
Tissue
Calvaria, Hip, Knee, Lower limb, Shoulder, Skull base, Upper limb
Assay
10x Multiome, 10x Visium, ISS
Disease
None
Organism
Homo sapiens

scRNA-seq Datasets

Dataset
Tissue
Assay
Disease
Organism
Count
Calvaria
Hip
Knee
Shoulder
Skull base
10x Multiome
None
Homo sapiens
372937
Hip
Knee
Shoulder
10x Multiome
None
Homo sapiens
6380
Calvaria
Hip
Knee
Shoulder
Skull base
10x Multiome
None
Homo sapiens
56696
Hip
Knee
Shoulder
10x Multiome
None
Homo sapiens
12219
Calvaria
10x Multiome
None
Homo sapiens
12095
Calvaria
Hip
Knee
Shoulder
Skull base
10x Multiome
None
Homo sapiens
7884
Hip
Knee
Shoulder
10x Multiome
None
Homo sapiens
56274
Calvaria
Hip
Knee
Shoulder
Skull base
10x Multiome
None
Homo sapiens
13131
Calvaria
Hip
Knee
Shoulder
Skull base
10x Multiome
None
Homo sapiens
11540
Calvaria
Hip
Knee
Shoulder
Skull base
10x Multiome
None
Homo sapiens
9691
Calvaria
Hip
Knee
Shoulder
Skull base
10x Multiome
None
Homo sapiens
4240
Calvaria
Hip
Knee
Shoulder
Skull base
10x Multiome
None
Homo sapiens
43916

Visium Datasets

Dataset
Tissue
Assay
Disease
Organism
Count
Calvaria
Skull base
10x Visium
None
Homo sapiens
3335

ISS Datasets

Dataset
Tissue
Assay
Disease
Organism
Count
Lower limb
ISS
None
Homo sapiens
45803
Upper limb
ISS
None
Homo sapiens
101974
Shoulder
ISS
None
Homo sapiens
40587
Knee
ISS
None
Homo sapiens
92374

Supplementary Downloads

Name
Size

ATAC normalised data download

ATAC normalised data download

Multiomic raw data download

Multiomic raw data download

Reproducibility

Reproducibility is a major principle underpinning the scientific method. We make publicly available the raw data and analysis scripts associated with each collection.

Human Cell Atlas

Human Cell Atlas

Developmental

The Human Developmental Cell Atlas (HDCA) aims to generate a comprehensive profile of cell types and states present during development. This detailed study of development will be critical for understanding congenital and childhood disorders, as well as ageing.

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