Evidence map›Paper›PMID 40634302›Full record

ArticleNature communications2025

Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion.

Matthew Tegtmeyer, Dhara Liyanage, Yu Han, Kathryn B Hebert, Ruifan Pei, Gregory P Way, Pearl V Ryder, Derek Hawes, Callum Tromans-Coia, Beth A Cimini and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  6. Review
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  10. Cell villages and Dirichlet modeling map human cell fitness genetics.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Matthew TegtmeyerDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA. mttegtme@purdue.edu.ORCID http://orcid.org/0000-0002-9032-8207
Dhara LiyanageStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Yu HanImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-5507-9228
Kathryn B HebertStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3709-0535
Ruifan PeiImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Gregory P WayDepartment of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA.ORCID http://orcid.org/0000-0002-0503-9348
Pearl V RyderImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Derek HawesStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Callum Tromans-CoiaImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Beth A CiminiImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9640-9318
Anne E CarpenterImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-1555-8261
Shantanu SinghImaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA. shantanu@broadinstitute.org.ORCID http://orcid.org/0000-0003-3150-3025
Ralda NehmeStanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA. rnehme@broadinstitute.org.ORCID http://orcid.org/0000-0001-7215-3311

Funding

Extracting rich information from biological imagesR35GM122547 · NIGMS · BROAD INSTITUTE, INC. · PI Anne E. Carpenter · 2017 to 2026
$6.2M
Unraveling the Genetic Programs Engaged in ASD Neurons Through Coupled Transcriptomic and Phenotypic ReadoutsR01MH128366 · NIMH · BROAD INSTITUTE, INC. · PI Samouil Farhi, Ralda Nehme · 2022 to 2026
$3.7M
NIGMS NIH HHS R35 GM122547NIMH NIH HHS R01 MH128366Simons Foundation 890477U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM122547U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH128366
6 · The paper itself

Abstract

Neuropsychiatric disorders remain difficult to treat due to complex and poorly understood mechanisms. NeuroPainting is a high-content morphological profiling assay based on Cell Painting and optimized for human stem cell-derived neural cell types, including neurons, progenitors, and astrocytes. The assay quantifies over 4000 features of cell structure and organelle organization, generating a dataset suitable for phenotypic screening in neural models. Here, we show that, in studies of the 22q11.2 deletion-a strong genetic risk factor for schizophrenia-we observe cell-type-specific effects, particularly in astrocytes, including mitochondrial disruption, altered endoplasmic reticulum organization, and cytoskeletal changes. Transcriptomic analysis shows reduced expression of cell adhesion genes in deletion astrocytes, consistent with post-mortem brain data. Integration of RNA and morphology data suggests a link between adhesion gene dysregulation and mitochondrial abnormalities. These results illustrate how combining image-based profiling with gene expression analysis can reveal cellular mechanisms associated with genetic risk in neuropsychiatric disease.

Indexed as

Chromosome DeletionChromosomes, Human, Pair 22DiGeorge SyndromeSchizophreniaTranscriptomeAstrocytesBrainCell AdhesionGene Expression ProfilingHumansMitochondriaNeural Stem CellsNeuronsPhenotype

Identifiers

PMID40634302
PMCPMC12241582

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.