ArticleNature communications2023
CAJAL enables analysis and integration of single-cell morphological data using metric geometry.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
Who cites it
21 citing papers in PubMed, 23 citations in OpenAlex.
- The contactin rig-6 transiently promotes GABA neuron remodeling with a sustained impact on male mating behavior in C. elegans.Genetics · 2026Article
- KSTITCH links cellular morphology and gene expression in spatial transcriptomics.bioRxiv : the preprint server for biology · 2026Article
- Exploring the structural lexicon of the Proteome via Metric Geometry.PLoS computational biology · 2026Article
- Morphology-robust quantification of subcellular organization in complex cells.bioRxiv : the preprint server for biology · 2026Article
- Fast and interpretable quantification of biological shape heterogeneity via stratified Wasserstein kernel.PLoS computational biology · 2026Article
- Integration and harmonization of cell shape images for generative modeling.bioRxiv : the preprint server for biology · 2026Article
- Article
- High-content phenotyping reveals Golgi dynamics and their role in cell cycle regulation.The Journal of cell biology · 2026Article
- Quantifying the Single-Cell Morphological Landscape of Cellular Transdifferentiation through Force Field Reconstruction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Norbornene Homopolymerization Limits Cell Spreading in Thiol-Ene Photoclick Hydrogels.Advanced healthcare materials · 2025Article
- Exploring the Structural Lexicon of the Proteome via Metric Geometry.bioRxiv : the preprint server for biology · 2025Article
- Multiple autism genes influence GABA neuron remodeling via distinct developmental trajectories.Genetics · 2025Article
- Article
- Multiple autism genes influence GABA neuron remodeling via distinct developmental trajectories.bioRxiv : the preprint server for biology · 2025Article
- Article
- Single-cell genomics and spatial transcriptomics in islet transplantation for diabetes treatment: advancing towards personalized therapies.Frontiers in immunology · 2025Review
- Novel microglial transcriptional signatures promote social and cognitive deficits following repeated social defeat.Communications biology · 2024Article
- Large-volume fully automated cell reconstruction generates a cell atlas of plant tissues.The Plant cell · 2024Article
- Learning meaningful representation of single-neuron morphology via large-scale pre-training.Bioinformatics (Oxford, England) · 2024Article
- Spatial multi-omics: novel tools to study the complexity of cardiovascular diseases.Genome medicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
High-resolution imaging has revolutionized the study of single cells in their spatial context. However, summarizing the great diversity of complex cell shapes found in tissues and inferring associations with other single-cell data remains a challenge. Here, we present CAJAL, a general computational framework for the analysis and integration of single-cell morphological data. By building upon metric geometry, CAJAL infers cell morphology latent spaces where distances between points indicate the amount of physical deformation required to change the morphology of one cell into that of another. We show that cell morphology spaces facilitate the integration of single-cell morphological data across technologies and the inference of relations with other data, such as single-cell transcriptomic data. We demonstrate the utility of CAJAL with several morphological datasets of neurons and glia and identify genes associated with neuronal plasticity in C. elegans. Our approach provides an effective strategy for integrating cell morphology data into single-cell omics analyses.
Indexed as
Identifiers
What OpenQuestion holds
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.