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

Author

Listed:
  • Matthew Tegtmeyer

    (Indiana University School of Medicine
    Broad Institute of MIT and Harvard
    Purdue University)

  • Dhara Liyanage

    (Broad Institute of MIT and Harvard
    Harvard University)

  • Yu Han

    (Broad Institute of MIT and Harvard)

  • Kathryn B. Hebert

    (Broad Institute of MIT and Harvard
    Harvard University)

  • Ruifan Pei

    (Broad Institute of MIT and Harvard)

  • Gregory P. Way

    (University of Colorado School of Medicine)

  • Pearl V. Ryder

    (Broad Institute of MIT and Harvard)

  • Derek Hawes

    (Broad Institute of MIT and Harvard)

  • Callum Tromans-Coia

    (Broad Institute of MIT and Harvard)

  • Beth A. Cimini

    (Broad Institute of MIT and Harvard)

  • Anne E. Carpenter

    (Broad Institute of MIT and Harvard)

  • Shantanu Singh

    (Broad Institute of MIT and Harvard)

  • Ralda Nehme

    (Broad Institute of MIT and Harvard
    Harvard University)

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.

Suggested Citation

  • 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 & Anne E. Carpenter & Shantanu Singh, 2025. "Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61547-x
    DOI: 10.1038/s41467-025-61547-x
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