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

Overview

Authors: Andriana Charalampopoulou1, Arens Taga1, Khalil Rust1, Evelyn Luciani1, Katherine Marshall1, Elliot Montgomery1, Anuradha Mansinghka1, Richa Singh1, Yang Zhao2, Christine O’Keefe2, Tza-Huei Wang2, Arun Venkatesan1, Christa Whelan Habela1, Nicholas John Maragakis1
  1. Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
  2. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
Institutions: Johns Hopkins University (United States)
Journal: Cell reports methods, volume 6, issue 7, article 101457
Dates: received 27 June 2025; accepted 21 April 2026; published online 19 May 2026; in print July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1016/j.crmeth.2026.101457 · PMID 42161268 · PMCID PMC13390070 · OpenAlex W7161627950
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: human (organism), cellular / molecular (subfield)
Methods: Statistics, Machine learning, Evoked potentials, Single-unit activity, calcium imaging
Keywords: stem cells, cortical neuron, motor neuron, corticofugal
MeSH: Induced Pluripotent Stem Cells*, Lab-On-A-Chip Devices*, Pyramidal Tracts*, Astrocytes, Humans, Motor Neurons (* major topic)
Topic: Neuroscience and Neural Engineering (Cellular and Molecular Neuroscience, Neuroscience), according to OpenAlex
Funding: NINDS NIH HHS (K08 NS102526, R01 NS117604, R25 NS065729); National Institute of Neurological Disorders and Stroke (R25NS065729, 5R01NS117604, K08NS102526); Maryland Stem Cell Research Fund (2023-MSCRFD-6125); Doris Duke Charitable Foundation; National Institutes of Health
Citations: not cited yet (Europe PMC); 77 references in the paper

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.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.

Data

No dataset and no data link were found in the paper.

Data and code availability

This study did not generate new datasets.

This study did not report original code.

Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Authors: added Nicholas John Maragakis (0000-0002-7311-9614); removed Nicholas John Maragakis

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 14 authors, 4 keywords, 6 MeSH terms, 5 funders, 75 references.

Cite

This paper

Charalampopoulou, A., Taga, A., Rust, K., Luciani, E., Marshall, K., Montgomery, E., Mansinghka, A., Singh, R., Zhao, Y., O’Keefe, C., Wang, T.-H., Venkatesan, A., Habela, C. W., & Maragakis, N. J. (2026). Development of a human iPSC-derived corticospinal tract-on-a-chip. Cell reports methods, 6(7), 101457. https://doi.org/10.1016/j.crmeth.2026.101457

BibTeX

@article{charalampopoulou2026development,
author = {Charalampopoulou, Andriana and Taga, Arens and Rust, Khalil and Luciani, Evelyn and Marshall, Katherine and Montgomery, Elliot and Mansinghka, Anuradha and Singh, Richa and Zhao, Yang and O’Keefe, Christine and Wang, Tza-Huei and Venkatesan, Arun and Habela, Christa Whelan and Maragakis, Nicholas John},
title = {{Development of a human iPSC-derived corticospinal tract-on-a-chip}},
journal = {Cell reports methods},
year = {2026},
month = may,
volume = {6},
number = {7},
pages = {101457},
publisher = {Elsevier},
issn = {2667-2375},
doi = {10.1016/j.crmeth.2026.101457},
url = {https://doi.org/10.1016/j.crmeth.2026.101457},
pmid = {42161268},
pmcid = {PMC13390070}
}

RIS

TY - JOUR
AU - Charalampopoulou, Andriana
AU - Taga, Arens
AU - Rust, Khalil
AU - Luciani, Evelyn
AU - Marshall, Katherine
AU - Montgomery, Elliot
AU - Mansinghka, Anuradha
AU - Singh, Richa
AU - Zhao, Yang
AU - O’Keefe, Christine
AU - Wang, Tza-Huei
AU - Venkatesan, Arun
AU - Habela, Christa Whelan
AU - Maragakis, Nicholas John
TI - Development of a human iPSC-derived corticospinal tract-on-a-chip
T2 - Cell reports methods
J2 - Cell Rep Methods
PY - 2026
DA - 2026/05/19
VL - 6
IS - 7
SP - 101457
SN - 2667-2375
PB - Elsevier
DO - 10.1016/j.crmeth.2026.101457
UR - https://doi.org/10.1016/j.crmeth.2026.101457
LA - en
ER -

CSL-JSON

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