ReviewCold Spring Harbor perspectives in biology2020
A Synthesis Concerning Conservation and Divergence of Cell Types across Epithelia.
Review in Cold Spring Harbor perspectives in biology, 2020. 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
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
9 citing papers in PubMed.
- Understanding Nasal Polyposis: The Roles of Ion Channels, Inflammation, Ionocytes, and Prostaglandin E2-The IJournal of clinical medicine · 2026Article
- Next Decade Research in Asthma: Broad Omics-Based Exploration Versus Targeted Airway Epithelium Studies.Journal of clinical medicine · 2025Review
- Single cell transcriptional analysis of human adenoids identifies molecular features of airway microfold cells.Mucosal immunology · 2025Article
- Review
- Well-controlled mucosal exudation of plasma proteins in airways with intact and regenerating epithelium.Physiological reports · 2024Review
- Quantification of basal stem cell elongation and stress fiber accumulation in the pseudostratified airway epithelium during the unjamming transition.Biology open · 2023Article
- The origin of human epithelial tissue.Histology and histopathology · 2023Review
- Possible connection between intestinal tuft cells, ILC2s and obesity.Frontiers in immunology · 2023Review
- A Single-Cell Atlas of Large and Small Airways at Birth in a Porcine Model of Cystic Fibrosis.American journal of respiratory cell and molecular biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in single-cell RNA-seq (scRNA-seq) and computational analysis have enabled the systematic interrogation of the cellular composition of tissues. Combined with tools from developmental biology, cell biology, and genetics, these approaches are revealing fundamental aspects of tissue geometry and physiology, including the distribution, origins, and inferred functions of specialized cell types, and the dynamics of cellular turnover and differentiation. By comparing different tissues, such studies can delineate shared and specialized features of cell types and their lineage. Here, we compare two developmentally related murine epithelia, the airway and the small intestinal epithelia, which are both derived from the embryonic endodermal gut tube. We examine how airway and intestine generate and functionalize common archetypal cell types to fulfill similar shared physiologic functionalities. We point to cases in which similar cell types are repurposed to accommodate each tissue's unique physiologic role, and highlight tissue-specific cells whose specializations contribute to the distinct functional roles of each organ. We discuss how archetypal and unique cell types are incorporated within a cellular lineage, and how the regulation of the proportions of these cell types enables tissue-level organization to meet functional demands and maintain homeostasis.
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.