ArticleCell reports2023
Emergence of division of labor in tissues through cell interactions and spatial cues.
Article in Cell reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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Who cites it
30 citing papers in PubMed, 51 citations in OpenAlex.
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- Role of Scar-Associated Macrophages in Organ Fibrosis Diseases.Journal of immunology research · 2026Review
- Linking tissue morphology and tissue healing in a cell-fate model.Frontiers in cell and developmental biology · 2026Article
- The adaptive tasks and trade-offs that drive the human value system.Communications psychology · 2025Article
- A deep generative model for deciphering cellular dynamics and in silico drug discovery in complex diseases.Nature biomedical engineering · 2025Article
- Comparative transcriptomics reveals shifts in cortical architecture at the metatherian/eutherian transition.bioRxiv : the preprint server for biology · 2025Article
- Establishing a continuum of cell types in the visual cortex.bioRxiv : the preprint server for biology · 2025Article
- Integrated 'omics analysis reveals human milk oligosaccharide biosynthesis programs in human lactocytes.iScience · 2025Article
- Spatially bound functional heterogeneity drives modular organization in β-cell networks.Biophysical journal · 2025Article
- The flux of energy in critical illness and the obesity paradox.Physiological reviews · 2025Review
- MIDAA: deep archetypal analysis for interpretable multi-omic data integration based on biological principles.Genome biology · 2025Article
- Spatial profiling of the interplay between cell type- and vision-dependent transcriptomic programs in the visual cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Metabolic Objectives and Trade-Offs: Inference and Applications.Metabolites · 2025Review
- Diffusion Smart-seq3 of breast cancer spheroids to explore spatial tumor biology and test evolutionary principles of tumor heterogeneity.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
Abstract
Most cell types in multicellular organisms can perform multiple functions. However, not all functions can be optimally performed simultaneously by the same cells. Functions incompatible at the level of individual cells can be performed at the cell population level, where cells divide labor and specialize in different functions. Division of labor can arise due to instruction by tissue environment or through self-organization. Here, we develop a computational framework to investigate the contribution of these mechanisms to division of labor within a cell-type population. By optimizing collective cellular task performance under trade-offs, we find that distinguishable expression patterns can emerge from cell-cell interactions versus instructive signals. We propose a method to construct ligand-receptor networks between specialist cells and use it to infer division-of-labor mechanisms from single-cell RNA sequencing (RNA-seq) and spatial transcriptomics data of stromal, epithelial, and immune cells. Our framework can be used to characterize the complexity of cell interactions within tissues.
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What Socratic 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 Socratic graph.