ArticleNature communications2024
High-dimensional phenotyping to define the genetic basis of cellular morphology.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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Who cites it
28 citing papers in PubMed, 51 citations in OpenAlex.
- Integrative Principal Component-QTL Mapping Identifies Genetic Modifiers of Tumor and Metabolic Traits inInternational journal of molecular sciences · 2026Article
- Cellular Morphometric Analysis (CellMorph)-a comprehensive imaging-based tool for quantifying cellular phenotype heterogeneity and dynamics across biological processes.The FEBS journal · 2026Article
- Single-cell morphodynamical trajectories enable prediction of gene expression accompanying cell state change.Cell systems · 2026Article
- Diversity-in-a-dish: A practical framework for hiPSC model development.Stem cell reports · 2026Review
- Simultaneous spatial transcriptomics and morphology profiling as tools to explore how microglia change with age.Nature aging · 2026Article
- Stem Cell-Derived Organoids for Cancer Therapy: Precision Medicine and Drug Selection.International journal of molecular sciences · 2026Review
- The polygenic, omnigenic and stratagenic models of complex disease risk.Nature genetics · 2026Review
- Bridging the variant-to-function gap in type 2 diabetes: advances and challenges.Diabetologia · 2026Review
- A phenotypic brain organoid atlas and biobank for neurodevelopmental disorders.Cell stem cell · 2025Article
- Automated segmentation of soft X-ray tomography: Native cellular structure with submicron resolution at high-throughput for whole-cell quantitative imaging in yeast.Molecular biology of the cell · 2025Article
- Deriving the A/B Cells Policy as a Robust Multi-Object Cell Pipeline for Time-Lapse Microscopy.International journal of molecular sciences · 2025Article
- Combining phenomics with transcriptomics reveals cell-type-specific morphological and molecular signatures of the 22q11.2 deletion.Nature communications · 2025Article
- Evaluating feature extraction in ovarian cancer cell line co-cultures using deep neural networks.Communications biology · 2025Article
- Cell Painting: a decade of discovery and innovation in cellular imaging.Nature methods · 2025Review
- Article
- A highly efficient, scalable pipeline for fixed feature extraction from large-scale high-content imaging screens.iScience · 2024Article
- Systematic data analysis pipeline for quantitative morphological cell phenotyping.Computational and structural biotechnology journal · 2024Review
- Insights into the Identification of iPSC- and Monocyte-Derived Macrophage-Polarizing Compounds by AI-Fueled Cell Painting Analysis Tools.International journal of molecular sciences · 2024Article
- Capturing cell heterogeneity in representations of cell populations for image-based profiling using contrastive learning.PLoS computational biology · 2024Article
- Making the most of bioimaging data through interdisciplinary interactions.Journal of cell science · 2024Review
Corrections and comments
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Authors and funding
19 authors at 2 institutions in 2 countries.
Funding
Abstract
The morphology of cells is dynamic and mediated by genetic and environmental factors. Characterizing how genetic variation impacts cell morphology can provide an important link between disease association and cellular function. Here, we combine genomic sequencing and high-content imaging approaches on iPSCs from 297 unique donors to investigate the relationship between genetic variants and cellular morphology to map what we term cell morphological quantitative trait loci (cmQTLs). We identify novel associations between rare protein altering variants in WASF2, TSPAN15, and PRLR with several morphological traits related to cell shape, nucleic granularity, and mitochondrial distribution. Knockdown of these genes by CRISPRi confirms their role in cell morphology. Analysis of common variants yields one significant association and nominate over 300 variants with suggestive evidence (P < 10
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Registered trials
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.