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A controllable human spinal cord model with full dorsoventral patterning
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  • Published: 28 March 2026

A controllable human spinal cord model with full dorsoventral patterning

  • Jeyoon Bok1,
  • Yung Su Kim1,
  • Fangyi Cheng1,
  • Chongjian Gao1,
  • Zhuowei Zhou1,
  • Norio Kobayashi  ORCID: orcid.org/0009-0007-8718-60101,
  • Shiyu Sun1,
  • Aoife Tang2,
  • Xufeng Xue  ORCID: orcid.org/0000-0002-9379-85891,3,
  • Diep H. Nguyen4,5,
  • Pulin Li  ORCID: orcid.org/0000-0002-8525-49365,6 &
  • …
  • Jianping Fu  ORCID: orcid.org/0000-0001-9629-67391,7,8 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomedical engineering
  • Neural stem cells
  • Neurogenesis
  • Stem-cell differentiation

Abstract

Dorsoventral (DV) patterning of the spinal cord (SC) is orchestrated by morphogen gradients that specify distinct neural progenitor domains, the dorsal roof plate (RP), ventral floor plate (FP), and delaminating neural crest cells (NCCs). While foundational insights into SC patterning have been gained from animal models, key aspects - such as the role of retinoic acid (RA), dynamics of NCC lineage development, and human-specific features - remain poorly understood due to limitations in existing in vivo and in vitro models. Here, we present a human pluripotent stem cell (hPSC)-derived SC model, termed microfluidic SC-like structures (µSCLSs), generated by applying bioengineered, antiparallel morphogen gradients via a microfluidic platform over micropatterned hPSC colonies. The µSCLS robustly recapitulates complete DV patterning with human specific transcriptional signatures. Using this platform, we uncover a previously unrecognized RA-BMP signaling crosstalk that could explain conflicting reports on the role of RA in SC DV patterning. We further demonstrate lineage-specific ventral migration of NCCs in response to chemoattractant cues, enabling direct visualization and mechanistic dissection of sensory vs. other fate trajectories. This controllable, reproducible, and human-relevant model provides a powerful system for probing human SC development, neural crest biology, and disease modeling with unprecedented resolution.

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Data availability

Data supporting findings of this study are available within the article and its Supplementary Information files and from the corresponding authors upon request. The scRNA-seq data generated in this study have been deposited in the Gene Expression Omnibus under accession number GSE300459. All source data for graphs included in the paper are available in the online version of the paper. Source data are provided with this paper.

Code availability

R, Python, and MATLAB scripts used in this work are available from the lead contact upon reasonable request.

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Acknowledgements

We thank Dr. O. Reiner for providing us the Lifeact-GFP H2B-mCherry WIBR3 hESC line. This study is supported by the Michigan-Cambridge Collaboration Initiative, University of Michigan Mcubed Fund, 21st Century Jobs Trust Fund received through the Michigan Strategic Fund from the State of Michigan (Grant CASE-315037), University of Michigan Mid-career Biosciences Faculty Achievement Recognition Award, National Science Foundation of the United States (CBET 1901718, PFI 2213845, and EFMA 2422149), National Institutes of Health of the United States (R21 NS127983, R01 GM143297, and R01 NS129850), and US-Israel Binational Science Foundation (US-Israel BSF 2023009). We acknowledge the Michigan Medicine Microscopy Core for training and support in microscopy imaging, the Michigan Advanced Genomics Core for scRNA-seq service, and the Michigan Lurie Nanofabrication Facility for support in microfabrication.

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA

    Jeyoon Bok, Yung Su Kim, Fangyi Cheng, Chongjian Gao, Zhuowei Zhou, Norio Kobayashi, Shiyu Sun, Xufeng Xue & Jianping Fu

  2. Greenhills School, Ann Arbor, MI, USA

    Aoife Tang

  3. Division of Developmental Biology, Center for Stem Cell and Organoid Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA

    Xufeng Xue

  4. Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA

    Diep H. Nguyen

  5. Whitehead Institute for Biomedical Research, Cambridge, MA, USA

    Diep H. Nguyen & Pulin Li

  6. Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA

    Pulin Li

  7. Department of Cell & Developmental Biology, University of Michigan Medical School, Ann Arbor, MI, USA

    Jianping Fu

  8. Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA

    Jianping Fu

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Contributions

J.B. and J.F. conceived and initiated this project; J.B. designed, performed, and quantified most experiments, including scRNA-seq data analysis and interpretation; Y.S.K. generated SOX10::T2A-Cre lineage tracing hESC line; F.C., C.G., and S.S. helped repeat experiments; N.K. generated cytoplasmic EGFP-expressing hESC line; Z.Z. helped with CHIP-seq data analysis; A.T. quantified µSCLS growth; X.X. developed MATLAB scripts for image processing; D.H.N designed probes for RNA-FISH; P.L. helped with data interpretation and experimental designs; J.B. and J.F. wrote manuscript. J.F. supervised the study. All authors edited and approved the manuscript.

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Correspondence to Jianping Fu.

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Bok, J., Kim, Y.S., Cheng, F. et al. A controllable human spinal cord model with full dorsoventral patterning. Nat Commun (2026). https://doi.org/10.1038/s41467-026-71162-z

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  • Received: 08 July 2025

  • Accepted: 12 March 2026

  • Published: 28 March 2026

  • DOI: https://doi.org/10.1038/s41467-026-71162-z

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