bioRxivDevelopmental BiologyPreprint
Dissecting human embryonic patterning during organogenesis reveals a rostral midline progenitor population for mesoendoderm induction
Ying Yang, Hongan Ren, Mengyang Lu, Guanhui Tan, Yixuan WangiD, Qingyu Cai, Junyao Jiang, Chenyu Guo, Yixin Li, Naixin Chen, Hong CheniD, Fei Han, Niya Zhou, Xia Lan, Rong Li, Shigehito Yamada, Guojun Sheng, Weike PeiiD, TaiHang Liu, Leqian YuiD, Lizhong LiuiD
Abstract
Understanding how human organogenesis is accomplished via intricate spatiotemporal patterning of organ primordia requires spatial atlases at cellular resolution. However, existing human embryo spatial atlases are built using sequencing-based platforms such as Stereo-seq, which have limited spatial resolution and blurred anatomical boundaries, leading to misclassification across adjacent cells. Here, we integrate in situ imaging-based transcriptomics (Xenium) with transcriptome-wide spatial profiling (Visium-HD) of Carnegie stages 9-12 embryos to delineate the patterning of core embryonic tissues at single-cell resolution, including the brain, spinal cord, somites, neural crest, notochord, heart, and gut tube. A new finding enabled by spatial single-cell resolution is the identification of rostral midline progenitors (RMPs), a cell population co-expressing SOX2, TBXT, and OTX2. Transcriptionally, RMPs are distinct from both neuromesodermal progenitors (NMPs) and prechordal mesoderm, and in vivo clonal barcoding in mice indicates that RMPs share a common developmental origin with rostral neural ectoderm. To interrogate their functional significance, we leveraged our spatial transcriptome data to recapitulate RMP-like cells from human pluripotent stem cells and showed that these cells can induce epiblast-like cells to acquire mesendodermal and endodermal fates, while themselves adopting an ectodermal fate consistent with their in vivo counterparts. This work provides a 3D, stage-resolved molecular cell atlas of tissue patterning in human embryo that serves as a reference for in vitro models.
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: cell-cell communication
- approach: deep learning
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A single-cell transcriptome atlas of human early embryogenesis
Yichi Xu, Tengjiao Zhang, … Weiyang Shi·Nature Cell BiologyPeer-reviewed·Mar 16, 2023
- A spatially resolved single cell atlas of human gastrulation
Richard C. V. Tyser, Elmir Mahammadov, … Shankar Srinivas·NaturePeer-reviewed·Nov 17, 2021
- Comparative human embryo-mapping reveals neural bias of neuromesodermal progenitors in stem cell axial elongation models
Yuting Wang, Rafaella Buzatu, … Christian J. Schröter·bioRxiv·Mar 9, 2026
- Self-organized anteroposterior regionalization of early midbrain and hindbrain/spinal cord using micropatterned human pluripotent stem cells
- Highly multiplexed spatially resolved gene expression profiling of mouse organogenesis
Tim Lohoff, Shila Ghazanfar, … John C. Marioni·Nature BiotechnologyPeer-reviewed·Sep 6, 2021
- Organoid-based single-cell spatiotemporal gene expression landscape of human embryonic development and hematopoiesis
Yiming Chao, Yang Xiang, … Ryohichi Sugimura·bioRxiv·Sep 2, 2022