ArticleCell2024
Automated profiling of gene function during embryonic development.
Article in Cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- Quantifying Embryonic Lethality Rate in Caenorhabditis elegans.Journal of visualized experiments : JoVE · 2026Article
- Review
- Cell atlases and the developmental foundations of the phenotype.PLoS computational biology · 2026Article
- Identification of eIF4ET binding partners inmicroPublication biology · 2026Article
- Multiscale characterization ofiScience · 2025Article
- Temporal Analysis of Embryonic Epidermal Morphogenesis inInternational journal of molecular sciences · 2025Article
- Hybrid incompatibility emerges at the one-cell stage in interspecies Caenorhabditis embryos.Current biology : CB · 2025Article
- Hybrid incompatibility emerges at the one-cell stage in interspeciesbioRxiv : the preprint server for biology · 2025Article
- A role for BYN-1/bystin in cellular uptake and clearance of residual bodies in the Caenorhabditis elegans germline.Development (Cambridge, England) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Systematic functional profiling of the gene set that directs embryonic development is an important challenge. To tackle this challenge, we used 4D imaging of C. elegans embryogenesis to capture the effects of 500 gene knockdowns and developed an automated approach to compare developmental phenotypes. The automated approach quantifies features-including germ layer cell numbers, tissue position, and tissue shape-to generate temporal curves whose parameterization yields numerical phenotypic signatures. In conjunction with a new similarity metric that operates across phenotypic space, these signatures enabled the generation of ranked lists of genes predicted to have similar functions, accessible in the PhenoBank web portal, for ∼25% of essential development genes. The approach identified new gene and pathway relationships in cell fate specification and morphogenesis and highlighted the utilization of specialized energy generation pathways during embryogenesis. Collectively, the effort establishes the foundation for comprehensive analysis of the gene set that builds a multicellular organism.
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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.