The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Fibroblast heterogeneity: implications for human disease
Open accessAbstract
Fibroblasts synthesize the extracellular matrix of connective tissue and play an essential role in maintaining the structural integrity of most tissues. Researchers have long suspected that fibroblasts exhibit functional specialization according to their organ of origin, body site, and spatial location. In recent years, a number of approaches have revealed the existence of fibroblast subtypes in mice. Here, we discuss fibroblast heterogeneity with a focus on the mammalian dermis, which has proven an accessible and tractable system for the dissection of these relationships. We begin by considering differences in fibroblast identity according to anatomical site of origin. Subsequently, we discuss new results relating to the existence of multiple fibroblast subtypes within the mouse dermis. We consider the developmental origin of fibroblasts and how this influences heterogeneity and lineage restriction. We discuss the mechanisms by which fibroblast heterogeneity arises, including intrinsic specification by transcriptional regulatory networks and epigenetic factors in combination with extrinsic effects of the spatial context within tissue. Finally, we discuss how fibroblast heterogeneity may provide insights into pathological states including wound healing, fibrotic diseases, and aging. Our evolving understanding suggests that ex vivo expansion or in vivo inhibition of specific fibroblast subtypes may have important therapeutic applications.
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Cites
Gurtner, G. C., Werner, S., Barrandon, Y., & Longaker, M. T. (2008) · Nature · doi:10.1038/nature07039 · Cited by 6,542
Kalluri, R., & Zeisberg, M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1877 · Cited by 4,538
Myofibroblasts and mechano-regulation of connective tissue remodelling
Tomasek, J. J., Gabbiani, G., Hinz, B., Chaponnier, C., & Brown, R. A. (2002) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm809 · Cited by 4,290
A perivascular origin for mesenchymal stem cells in multiple human organs
Crisan, M., Yap, S., Casteilla, L., Chen, C.-W., Corselli, M., Park, T. S., Andriolo, G., Sun, B., Zheng, B., Zhang, L., et al. (2008) · Cell Stem Cell · doi:10.1016/j.stem.2008.07.003 · Cited by 3,991 · cited 5×
“This population of fibroblasts have the capacity to differentiate into multiple lineages (23) and have been termed mesenchymal stem or stromal cells (MSCs).”
ResultInfluentialIncreased Wnt signaling during aging alters muscle stem cell fate and increases fibrosis
Brack, A. S., Conboy, M. J., Roy, S., Lee, M., Kuo, C. J., Keller, C., & Rando, T. A. (2007) · Science · doi:10.1126/science.1144090 · Cited by 1,564
Presence of modified fibroblasts in granulation tissue and their possible role in wound contraction
Gabbiani, G., Ryan, G. B., & Majno, G. (1971) · Experientia · doi:10.1007/bf02147594 · Cited by 1,485
Calvo, F., Ege, N., Grande-Garcia, A., Hooper, S., Jenkins, R. P., Chaudhry, S. I., Harrington, K., Williamson, P., Moeendarbary, E., Charras, G., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2756 · Cited by 1,478
Distinct fibroblast lineages determine dermal architecture in skin development and repair
Driskell, R. R., Lichtenberger, B. M., Hoste, E., Kretzschmar, K., Simons, B. D., Charalambous, M., Ferron, S. R., Herault, Y., Pavlovic, G., Ferguson-Smith, A. C., et al. (2013) · Nature · doi:10.1038/nature12783 · Cited by 1,291
Self-citationGene Regulatory Networks and the Evolution of Animal Body Plans
Davidson, E. H., & Erwin, D. H. (2006) · Science · doi:10.1126/science.1113832 · Cited by 1,207 · cited 1×
“Intrinsic mechanisms specifying fibroblast cellular identity Cellular identity is determined both by intrinsic mechanisms, including transcriptional regulatory networks (86) and epigenetic processes, and by extrinsic factors, including cell-cell signaling, soluble signaling mediators, or ECM elements.”
BackgroundActivation of canonical Wnt signalling is required for TGF-β-mediated fibrosis
Akhmetshina, A., Palumbo, K., Dees, C., Bergmann, C., Venalis, P., Zerr, P., Horn, A., Kireva, T., Beyer, C., Zwerina, J., et al. (2012) · Nature Communications · doi:10.1038/ncomms1734 · Cited by 843
Cited by
Diversity and biology of cancer-associated fibroblasts
Biffi, G., & Tuveson, D. A. (2021) · Physiological Reviews · doi:10.1152/physrev.00048.2019 · Cited by 1,265
Extracellular matrix and its therapeutic potential for cancer treatment
Huang, J., Zhang, L., Wan, D., Zhou, L., Zheng, S., Lin, S., & Qiao, Y. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00544-0 · Cited by 962
Pancreatic cancer stroma: an update on therapeutic targeting strategies
Hosein, A. N., Brekken, R. A., & Maitra, A. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-0300-1 · Cited by 950
Cancer-associated fibroblasts: an emerging target of anti-cancer immunotherapy
Liu, T., Han, C., Wang, S., Fang, P., Ma, Z., Xu, L., & Yin, R. (2019) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0770-1 · Cited by 860
Muhl, L., Genové, G., Leptidis, S., Liu, J., He, L., Mocci, G., Sun, Y., Gustafsson, S., Buyandelger, B., Chivukula, I. V., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17740-1 · Cited by 665
Metadata
- Authors
- Lynch, M. D., & Watt, F. M.
- Venue
- Journal of Clinical Investigation
- Published
- 2018-01-02
- Volume
- 128
- Issue
- 1
- Pages
- 26-35
- ISSN
- 0021-9738 (ISSN-L)
- 1558-8238
- OpenAlex
- W2781548451
- Cited by
- 480
- References
- 20
- FWCI
- 29.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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