ArticleNature biotechnology2026
Tissue and cellular spatiotemporal dynamics in colon aging.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- Distinct cellular phenotypes of language and executive decline in amyotrophic lateral sclerosis.Cell · 2026Article
- Building and regenerating intestines by manipulating intestinal stem cells.Nature reviews. Gastroenterology & hepatology · 2026Review
- PRISM: Prior-enhanced Inference for Spatial Transcriptomic Cell Type Mapping.Bioinformatics (Oxford, England) · 2026Article
- Tissue and cellular spatiotemporal dynamics in colon aging.Nature biotechnology · 2026Article
- FGFR signaling establishes spatial gradients of secretory cell identities along the airway proximal-distal axis.Nature communications · 2026Article
- Differential immunoreactivity of alpha-smooth muscle actin in the mouse colon.Anatomical science international · 2026Article
- Colonic Aging and Colorectal Cancer: An Unignorable Interplay and Its Translational Implications.Biology · 2025Review
- Short histological kaleidoscope - recent findings in histology. Part VI. Kupffer cells, hepatic stellate cells, enteroendocrine cells, and telocytes.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologieReview
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16 authors.
Funding
Abstract
Tissue structure and molecular circuitry in the colon can be profoundly impacted by systemic age-related effects but many of the underlying molecular cues remain unclear. Here, we build a cellular and spatial atlas of the colon across three anatomical regions and 11 age groups, encompassing ~1,500 mouse gut tissues profiled by spatial transcriptomics and ~400,000 single nucleus RNA-sequencing profiles. We develop a computational framework, cSplotch, which learns a hierarchical Bayesian model of spatially resolved cellular expression associated with age, tissue region and sex by leveraging histological features to share information across tissue samples and data modalities. Using this model, we identify cellular and molecular gradients along the adult colonic tract and across the main crypt axis and multicellular programs associated with aging in the large intestine. Our multimodal framework for the investigation of cell and tissue organization can aid in the understanding of cellular roles in tissue-level pathology.
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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.