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Development of a human iPSC-derived corticospinal tract-on-a-chip

  • Andriana Charalampopoulou
  • , Arens Taga
  • , Khalil Rust
  • , Evelyn Luciani
  • , Katherine Marshall
  • , Elliot Montgomery
  • , Anuradha Mansinghka
  • , Richa Singh
  • , Yang Zhao
  • , Christine O'Keefe
  • , Tza Huei Wang
  • , Arun Venkatesan
  • , Christa Whelan Habela
  • , Nicholas John Maragakis

Research output: Contribution to journalArticlepeer-review

Abstract

Degeneration of the corticospinal tract is a feature in several neurodegenerative disorders and leads to disability. However, modeling corticospinal neuron (CSN) pathology and corticospinal connectivity is challenging, as there are interspecies differences in these networks. We developed a human induced pluripotent stem cell (hiPSC)-based microfluidic platform for modeling human CSN and spinal motor neuron (SpMN) connectivity. The incorporation of regionally specific astrocyte subtypes (cortical and spinal) in addition to CSNs and SpMNs allows for the modeling of neural cell interactions. Multielectrode array electrophysiology reveals the temporal maturation of the network. Retrograde labeling demonstrates synaptic connectivity between CSNs and SpMN. Optogenetic strategies to selectively activate excitatory cortical neurons (CNs) attenuated by glutamate receptor antagonism confirm the functional relevance of the model. Incorporating morphological, electrophysiological, and physiological measures of corticospinal connectivity, this platform is a versatile model for neurodegenerative disease research and the future development of targeted CSN therapies.

Original languageEnglish (US)
Article number101457
JournalCell Reports Methods
Volume6
Issue number7
DOIs
StatePublished - Jul 20 2026

Keywords

  • CP: neuroscience
  • CP: stem cell
  • cortical neuron
  • corticofugal
  • motor neuron
  • stem cells

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Genetics
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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