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Cited by 515

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Lung regeneration: mechanisms, applications and emerging stem cell populations

Open access
Kotton, Darrell N, Morrisey, Edward E·2014·Nature Medicine

Abstract

Recent studies have shown that the respiratory system has an extensive ability to respond to injury and regenerate lost or damaged cells. The unperturbed adult lung is remarkably quiescent, but after insult or injury progenitor populations can be activated or remaining cells can re-enter the cell cycle. Techniques including cell-lineage tracing and transcriptome analysis have provided novel and exciting insights into how the lungs and trachea regenerate in response to injury and have allowed the identification of pathways important in lung development and regeneration. These studies are now informing approaches for modulating the pathways that may promote endogenous regeneration as well as the generation of exogenous lung cell lineages from pluripotent stem cells. The emerging advances, highlighted in this Review, are providing new techniques and assays for basic mechanistic studies as well as generating new model systems for human disease and strategies for cell replacement.

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Crossref · 10.1038/nm.3642

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Metadata

Authors
Kotton, D. N., & Morrisey, E. E.
Venue
Nature Medicine
Published
2014-08
Volume
20
Issue
8
Pages
822-832
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W2057813347
Cited by
515
References
3
FWCI
32.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Lung regeneration: mechanisms, applications and emerging stem cell populations. https://app.cochat.ai/papers/10.1038/nm.3642
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Kotton, D. N., & Morrisey, E. E. (2014). Lung regeneration: mechanisms, applications and emerging stem cell populations. Nature Medicine. https://doi.org/10.1038/nm.3642

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.