A patterned human neural tube model using microfluidic gradients

Xufeng Xue, Yung Su Kim, Alfredo Isaac Ponce-Arias, Richard O’Laughlin, Robin Zhexuan Yan, Norio Kobayashi, Rami Yair Tshuva, Yu Hwai Tsai, Shiyu Sun, Yi Zheng, Yue Liu, Frederick C.K. Wong, Azim Surani, Jason R. Spence, Hongjun Song, Guo Li Ming, Orly Reiner, Jianping Fu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The human nervous system is a highly complex but organized organ. The foundation of its complexity and organization is laid down during regional patterning of the neural tube, the embryonic precursor to the human nervous system. Historically, studies of neural tube patterning have relied on animal models to uncover underlying principles. Recently, models of neurodevelopment based on human pluripotent stem cells, including neural organoids1–5 and bioengineered neural tube development models6–10, have emerged. However, such models fail to recapitulate neural patterning along both rostral–caudal and dorsal–ventral axes in a three-dimensional tubular geometry, a hallmark of neural tube development. Here we report a human pluripotent stem cell-based, microfluidic neural tube-like structure, the development of which recapitulates several crucial aspects of neural patterning in brain and spinal cord regions and along rostral–caudal and dorsal–ventral axes. This structure was utilized for studying neuronal lineage development, which revealed pre-patterning of axial identities of neural crest progenitors and functional roles of neuromesodermal progenitors and the caudal gene CDX2 in spinal cord and trunk neural crest development. We further developed dorsal–ventral patterned microfluidic forebrain-like structures with spatially segregated dorsal and ventral regions and layered apicobasal cellular organizations that mimic development of the human forebrain pallium and subpallium, respectively. Together, these microfluidics-based neurodevelopment models provide three-dimensional lumenal tissue architectures with in vivo-like spatiotemporal cell differentiation and organization, which will facilitate the study of human neurodevelopment and disease.

Original languageEnglish
Pages (from-to)391-399
Number of pages9
JournalNature
Volume628
Issue number8007
DOIs
Publication statusPublished - 26 Feb 2024

Bibliographical note

We thank A. Tsakiridis, V. Wilson, A. Martinez Arias, B. Allen, J. M. Parent, S. O’Shea, D. M. Wellik, A. M. Tidball, D. M. Martin and Y. Zhai for their comments; J. N. Lakins and V. M. Weaver for providing the Brachyury–mNeonGreen human ES cell reporter line; M. Povolotski for helping with PCR genotyping; and staff at the Michigan Medicine Microscopy Core for training and support in microscopy imaging, the Michigan Orthopaedic Research Laboratories Histology Core for support in cryosectioning, the Michigan Advanced Genomics Core for scRNA-seq service, and the Michigan Lurie Nanofabrication Facility for support in microfabrication. This work is supported by the Michigan-Cambridge Collaboration Initiative (J.F.), the University of Michigan Mcubed Fund (J.F.), the 21st Century Jobs Trust Fund received through the Michigan Strategic Fund from the State of Michigan (Grant CASE-315037; J.F.), a University of Michigan Mid-career Biosciences Faculty Achievement Recognition Award (J.F.), the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation (G.-L.M.), the National Science Foundation of the United States (I-Corps 2112458 and CBET 1901718 to J.F.), and the National Institutes of Health of the United States (R21 NS113518, R01 GM143297 and R01 NS129850 to J.F.; R21 NS127983 to J.F. and O.R.; R35 NS097370 and RF1 MH123979 to G.-L.M.; and R35 NS116843 to H.S.). N.K. is partially supported by the Uehara Memorial Foundation and International Medical Research Foundation of Japan. O.R. is the incumbent of the Berstein–Mason Professorial Chair of Neurochemistry at the Weizmann Institute of Science.

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Limited 2024.

All Science Journal Classification (ASJC) codes

  • General

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