Evidence map›Paper›PMID 40067829›Full record

ArticleCell reports2025

ALS molecular subtypes are a combination of cellular and pathological features learned by deep multiomics classifiers.

Kathryn O'Neill, Regina Shaw, Isobel Bolger, NYGC ALS Consortium, Oliver H Tam, Hemali Phatnani, Molly Gale Hammell

Abstract read
In one paragraph

Article in Cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

25 citing papers in PubMed.

  1. Review
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  9. TDP-43: [GU]-ardian of the transcriptome.Molecular neurodegeneration · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Article
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  16. Article
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  18. Frontiers in aging neuroscience · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kathryn O'NeillCold Spring Harbor Laboratory School of Biological Sciences, Cold Spring Harbor, NY 11724, USA.
Regina ShawInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA; Department of Neuroscience & Neuroscience Institute, NYU Langone Health, New York, NY 10016, USA.
Isobel BolgerInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA; Department of Neuroscience & Neuroscience Institute, NYU Langone Health, New York, NY 10016, USA.
NYGC ALS Consortium
Oliver H TamInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA; Department of Neuroscience & Neuroscience Institute, NYU Langone Health, New York, NY 10016, USA. Electronic address: oliver.tam@nyulangone.org.
Hemali PhatnaniNew York Genome Center, New York, NY 10013, USA; Department of Neurology, Columbia University, New York, NY 10032, USA. Electronic address: hphatnani@nygenome.org.
Molly Gale HammellInstitute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA; Department of Neuroscience & Neuroscience Institute, NYU Langone Health, New York, NY 10016, USA. Electronic address: molly.galehammell@nyulangone.org.

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
CSHL Watson School of Biological SciencesT32GM065094 · NIGMS · COLD SPRING HARBOR LABORATORY · PI GANN, ALEXANDER · 2002 to 2021
$4.8M
Integrating Spatial Multi-omics and Clinical Covariates to Identify Mechanisms of Disease in ALS-FTDR01NS118183 · NINDS · NEW YORK GENOME CENTER · PI Hemali Phatnani · 2020 to 2026
$4.7M
Connecting TDP-43 Pathology to the Molecular Profiles of NeurodegenerationRF1NS118570 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GALE HAMMELL, MOLLY, PHATNANI, HEMALI · 2020 to 2020
$3.7M
Spatially Resolved Dynamics of Molecular Pathology and Intercellular Interactions in Amytrophic Lateral SclerosisR01NS116350 · NINDS · NEW YORK GENOME CENTER · PI Hemali Phatnani · 2020 to 2026
$3.6M
Connecting TDP-43 Pathology to the Molecular Profiles of NeurodegenerationR01NS118570 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GALE HAMMELL, MOLLY, PHATNANI, HEMALI · 2024 to 2024
$880k
NCI NIH HHS P30 CA045508NIGMS NIH HHS T32 GM065094NINDS NIH HHS R01 NS116350NINDS NIH HHS R01 NS118183NINDS NIH HHS R01 NS118570NINDS NIH HHS RF1 NS118570
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a complex syndrome with multiple genetic causes and wide variation in disease presentation. Despite this heterogeneity, large-scale genomics studies revealed that ALS postmortem samples can be grouped into a small number of subtypes, defined by transcriptomic signatures of mitochondrial dysfunction and oxidative stress (ALS-Ox), microglial activation and neuroinflammation (ALS-Glia), or TDP-43 pathology and associated transposable elements (ALS-TE). In this study, we present a deep ALS neural net classifier (DANCer) for ALS molecular subtypes. Applying DANCer to an expanded cohort from the NYGC ALS Consortium highlights two subtypes that strongly correlate with disease duration: ALS-TE in cortex and ALS-Glia in spinal cord. Finally, single-nucleus transcriptomes demonstrate that ALS subtypes are recapitulated in neurons and glia, with both ALS-wide and subtype-specific alterations in all cell types. In summary, ALS molecular subtypes represent a combination of cellular and pathological features that correlate with clinical features of ALS.

Indexed as

Amyotrophic Lateral SclerosisGenomicsFemaleHumansMaleMicrogliaMultiomicsNeurogliaNeuronsSpinal CordTranscriptomeALSALS molecular subtypesCP: GenomicsCP: Neuroscienceglial biologymachine learningneurodegenerative diseasesingle-cell genomicsTDP-43 splicingtransposable elements

Identifiers

PMID40067829
PMCPMC12011103

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Registered trials

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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 OpenQuestion graph.