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

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 astrocy...

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التفاصيل البيبلوغرافية
الحاوية / القاعدة:Nature Communications
المؤلفون الرئيسيون: 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, Ralda Nehme
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Nature Portfolio 2025-07-01
الوصول للمادة أونلاين:https://doi.org/10.1038/s41467-025-61547-x
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author 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
Ralda Nehme
author_facet 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
Ralda Nehme
author_sort Matthew Tegtmeyer
collection DOAJ
container_title Nature Communications
description 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.
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spelling doaj-art-8b398b44ea33437f8aeee7abd7041e752025-08-20T04:03:06ZengNature PortfolioNature Communications2041-17232025-07-0116111410.1038/s41467-025-61547-xCombining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletionMatthew Tegtmeyer0Dhara Liyanage1Yu Han2Kathryn B. Hebert3Ruifan Pei4Gregory P. Way5Pearl V. Ryder6Derek Hawes7Callum Tromans-Coia8Beth A. Cimini9Anne E. Carpenter10Shantanu Singh11Ralda Nehme12Department of Psychiatry, Indiana University School of MedicineStanley Center for Psychiatric Research, Broad Institute of MIT and HarvardImaging Platform, Broad Institute of MIT and HarvardStanley Center for Psychiatric Research, Broad Institute of MIT and HarvardImaging Platform, Broad Institute of MIT and HarvardDepartment of Biomedical Informatics, University of Colorado School of MedicineImaging Platform, Broad Institute of MIT and HarvardStanley Center for Psychiatric Research, Broad Institute of MIT and HarvardImaging Platform, Broad Institute of MIT and HarvardImaging Platform, Broad Institute of MIT and HarvardImaging Platform, Broad Institute of MIT and HarvardImaging Platform, Broad Institute of MIT and HarvardStanley Center for Psychiatric Research, Broad Institute of MIT and HarvardAbstract 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.https://doi.org/10.1038/s41467-025-61547-x
spellingShingle 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
Ralda Nehme
Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion
title Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion
title_full Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion
title_fullStr Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion
title_full_unstemmed Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion
title_short Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion
title_sort combining phenomics with transcriptomics reveals cell type specific morphological and molecular signatures of the 22q11 2 deletion
url https://doi.org/10.1038/s41467-025-61547-x
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