Single-cell transcriptomic analysis of human pleura reveals stromal heterogeneity and informs in vitro models of mesothelioma.
Single-cell transcriptomic analysis of human pleura reveals stromal heterogeneity and informs in vitro models of mesothelioma.
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DOI:
10.1183/13993003.00143-2023
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发表时间:
2024-01
影响因子:
24.3
通讯作者:
Marciniak, Stefan J.
中科院分区:
文献类型:
--
作者:
Obacz, Joanna;Valer, Jose Antonio;Nibhani, Reshma;Adams, Taylor S.;Schupp, Jonas C.;Veale, Niki;Lewis-Wade, Amanah;Flint, Jasper;Hogan, John;Aresu, Giuseppe;Coonar, Aman S.;Peryt, Adam;Biffi, Giulia;Kaminski, Naftali;Francies, Hayley;Rassl, Doris M.;Garnett, Mathew J.;Rintoul, Robert C.;Marciniak, Stefan J.
The pleural lining of the thorax regulates local immunity, inflammation and repair. A variety of conditions, both benign and malignant, including pleural mesothelioma, can affect this tissue. A lack of knowledge concerning the mesothelial and stromal cells comprising the pleura has hampered the development of targeted therapies. Here, we present the first comprehensive single-cell transcriptomic atlas of the human parietal pleura and demonstrate its utility in elucidating pleural biology. We confirm the presence of known universal fibroblasts and describe novel, potentially pleural-specific, fibroblast subtypes. We also present transcriptomic characterisation of multiple in vitro models of benign and malignant mesothelial cells, and characterise these through comparison with in vivo transcriptomic data. While bulk pleural transcriptomes have been reported previously, this is the first study to provide resolution at the single-cell level. We expect our pleural cell atlas will prove invaluable to those studying pleural biology and disease. It has already enabled us to shed light on the transdifferentiation of mesothelial cells, allowing us to develop a simple method for prolonging mesothelial cell differentiation in vitro. The first single-cell RNA-seq atlas of human parietal pleura is now accessible via a free web-based data-mining tool, MesothelialCellAtlas.com, and illuminates aspects of benign and malignant pleural biology https://bit.ly/3u3eDu8
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
5.3
作者:
Lansley SM;Searles RG;Hoi A;Thomas C;Moneta H;Herrick SE;Thompson PJ;Newman M;Sterrett GF;Prêle CM;Mutsaers SE
通讯作者:
Mutsaers SE
影响因子:
46.9
作者:
Moon, Kevin R.;van Dijk, David;Krishnaswamy, Smita
通讯作者:
Krishnaswamy, Smita
影响因子:
48
作者:
Browaeys, Robin;Saelens, Wouter;Saeys, Yvan
通讯作者:
Saeys, Yvan
影响因子:
28.2
作者:
Elyada, Ela;Bolisetty, Mohan;Tuveson, David A.
通讯作者:
Tuveson, David A.