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ORIGINAL RESEARCH article

Front. Neurosci.

Sec. Neurodegeneration

This article is part of the Research TopicAdvances in Neurodevelopmental and Neurodegenerative Disease Research: Focus on Innovative Human-Relevant Brain ResearchView all 10 articles

An induced pluripotent stem cell-based chemical genetic approach for studying spinal muscular atrophy

Provisionally accepted
Richard  GiadoneRichard Giadone1,2,3,4Kristina  HoltonKristina Holton1,2,3,4Xiaoyu  HuXiaoyu Hu1,4Ted  NatoliTed Natoli2,3Sabrina  GhoshSabrina Ghosh1,4Stanley  GillStanley Gill2,4,5Aravind  SubramanianAravind Subramanian2,3Lee  L RubinLee L Rubin1,2,3,4*
  • 1Department of Stem Cell and Regenerative Biology, Faculty of Arts and Sciences, Harvard University, Cambridge, United States
  • 2Broad Institute, Cambridge, United States
  • 3Broad Institute Stanley Center for Psychiatric Research, Cambridge, United States
  • 4Harvard Stem Cell Institute, Cambridge, United States
  • 5Harvard University Department of Stem Cell and Regenerative Biology, Cambridge, United States

The final, formatted version of the article will be published soon.

Spinal muscular atrophy (SMA) is a genetic disease characterized by degeneration of spinal cord motor neurons and neuromuscular junctions. Despite recent development in therapies for SMA, treatment efficacy largely relies on administration of drugs early in disease progression and is impacted by underlying patient genetics. Drug discovery for other diseases of the central nervous system (CNS) has also been hindered by heterogeneity in patient genetics and clinical presentations, as well as the need for early intervention. To address these hurdles, we utilized a chemical genetic-based screening approach to adapt the Connectivity Map (CMAP)/L1000 platform to study SMA. To do this, we differentiated moderate and severe SMA patient-specific induced pluripotent stem cells into neuronal cells utilizing a forward programming differentiation protocol, exposed each to 360 neuroactive or CNS disease-related compounds, and interrogated resulting changes in expression of >400 neural genes in a platform we term CMAPneuro. In doing so, we generated 4,559 transcriptional profiles identifying stimuli that modulate gene expression differences across SMA neurons. Finally, we make these data queryable, allowing the research community to 1.) identify CNS disease-related perturbagens that mimic or reverse differentially expressed genes, or 2.) explore the transcriptional response of a given perturbation in diverse SMA neuronal cells. Taken together, CMAPneuro represents a novel tool to identify candidate stimuli for follow-up investigation into the biology of SMA and related disorders.

Keywords: spinal muscular atrophy (SMA), Connectivity Map (CMap), L1000, iPSCs, chemicalgenetic screening

Received: 29 Aug 2025; Accepted: 18 Nov 2025.

Copyright: © 2025 Giadone, Holton, Hu, Natoli, Ghosh, Gill, Subramanian and Rubin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Lee L Rubin, lee_rubin@harvard.edu

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