Evidence map›Paper›PMID 41716912›Full record

ArticleFrontiers in neuroscience2025

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

Richard M Giadone, Kristina M Holton, Xiaoyu Hu, Ted Natoli, Sabrina Ghosh, Stanley P Gill, Nicholas Lyons, Aravind Subramanian, Lee L Rubin

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Richard M Giadone *Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States.
Kristina M Holton *Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States.
Xiaoyu Hu *Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States.
Ted Natoli *Broad Institute of MIT and Harvard, Cambridge, MA, United States.
Sabrina GhoshDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States.
Stanley P GillDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States.
Nicholas LyonsBroad Institute of MIT and Harvard, Cambridge, MA, United States.
Aravind SubramanianBroad Institute of MIT and Harvard, Cambridge, MA, United States.
Lee L RubinDepartment of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Spinal muscular atrophy (SMA) is a genetic disease characterized by degeneration of spinal cord motor neurons and neuromuscular junctions. Despite recent developments in therapies for SMA, treatment efficacy largely relies on the 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. Methods: 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 CMAP Results: 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. Discussion: Taken together, CMAP

Indexed as

chemical genetic screeningconnectivity mapiPSCsL1000spinal muscular atrophy

Identifiers

PMID41716912
PMCPMC12913379

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.