Transcriptional characterisation of human lung cells identifies novel mesenchymal lineage markers.
Transcriptional characterisation of human lung cells identifies novel mesenchymal lineage markers.
复制标题
DOI:
10.1183/13993003.00746-2019
复制
发表时间:
2020-01
期刊:
影响因子:
--
通讯作者:
Al Alam D
中科院分区:
文献类型:
--
作者:
Danopoulos S;Bhattacharya S;Mariani TJ;Al Alam D
The lung mesenchyme gives rise to multiple distinct lineages of cells in the mature respiratory system, including smooth muscle cells (SMCs) of the airway and vasculature. However, a thorough understanding of the specification and mesenchymal cell diversity in the human lung is lacking. We completed single cell RNA sequencing analysis of fetal human lung tissues. Canonical correlation analysis, clustering, cluster marker gene identification and tSNE representation was performed in Seurat. Cell populations were annotated using Toppfun. Immunohistochemistry and in situ hybridization were used to validate spatio-temporal gene expression patterns for key marker genes. We identified molecularly distinct populations representing “committed” fetal human lung endothelial cells, pericytes, and smooth muscle cells (SMCs). Early endothelial lineages expressed “classic” endothelial cell markers (PECAM, CLND5) while pericytes expressed PDGFRβ, THY1 and basement membrane molecules (COL4, laminin, proteoglycans). We observed a large population of “nonspecific” human lung mesenchymal progenitor cells characterized by expression of COL1 and multiple elastin fiber genes (ELN, MFAP2, FBN1). We closely characterized diversity of mesenchymal lineages defined by ACTA2 expression. Two cell populations, with the highest levels of ACTA2 transcriptional activity, expressed unique sets of markers associated with airway- or vascular- SMCs. Spatio-temporal analysis of these marker genes confirmed early and persistent spatial specification of airway (HHIP, MYLK, IGF1) and vascular (NTRK3, MEF2C) SMCs in the developing human lung. Our data suggest that specification of distinct airway and vascular SMC phenotypes are established early in development and can be identified using the markers we provide.
登录
查看更多内容
影响因子:
11.8
作者:
Volckaert T;Yuan T;Chao CM;Bell H;Sitaula A;Szimmtenings L;El Agha E;Chanda D;Majka S;Bellusci S;Thannickal VJ;Fässler R;De Langhe SP
通讯作者:
De Langhe SP
影响因子:
16.6
作者:
Jain, Rajan;Barkauskas, Christina E.;Takeda, Norifumi;Bowie, Emily J.;Aghajanian, Haig;Wang, Qiaohong;Padmanabhan, Arun;Manderfield, Lauren J.;Gupta, Mudit;Li, Deqiang;Li, Li;Trivedi, Chinmay M.;Hogan, Brigid L. M.;Epstein, Jonathan A.
通讯作者:
Epstein, Jonathan A.
DOI:
10.1002/path.5188
发表时间:
2019-03
期刊:
The Journal of pathology
影响因子:
--
作者:
Danopoulos S;Thornton ME;Grubbs BH;Frey MR;Warburton D;Bellusci S;Al Alam D
通讯作者:
Al Alam D
影响因子:
5.5
作者:
Lange, Alexander W.;Sridharan, Anusha;Whitsett, Jeffrey A.
通讯作者:
Whitsett, Jeffrey A.
影响因子:
64.8
作者:
Montoro DT;Haber AL;Biton M;Vinarsky V;Lin B;Birket SE;Yuan F;Chen S;Leung HM;Villoria J;Rogel N;Burgin G;Tsankov AM;Waghray A;Slyper M;Waldman J;Nguyen L;Dionne D;Rozenblatt-Rosen O;Tata PR;Mou H;Shivaraju M;Bihler H;Mense M;Tearney GJ;Rowe SM;Engelhardt JF;Regev A;Rajagopal J
通讯作者:
Rajagopal J