Spatially resolved deconvolution of the fibrotic niche in lung fibrosis.

Spatially resolved deconvolution of the fibrotic niche in lung fibrosis.
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DOI:
10.1016/j.celrep.2022.111230
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发表时间:
2022-08-16
期刊:
影响因子:
8.8
通讯作者:
Jones, Mark G.
Jones, Mark G.
中科院分区:
生物学1区
文献类型:
--
作者:
Eyres, Michael;Bell, Joseph A.;Davies, Elizabeth R.;Fabre, Aurelie;Alzetani, Aiman;Jogai, Sanjay;Marshall, Ben G.;Johnston, David A.;Xu, Zijian;Fletcher, Sophie, V;Wang, Yihua;Marshall, Gayle;Davies, Donna E.;Offer, Emil;Jones, Mark G.

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A defining pathological feature of human lung fibrosis is localized tissue heterogeneity, which challenges the interpretation of transcriptomic studies that typically lose spatial information. Here we investigate spatial gene expression in diagnostic tissue using digital profiling technology. We identify distinct, region-specific gene expression signatures as well as shared gene signatures. By integration with single-cell data, we spatially map the cellular composition within and distant from the fibrotic niche, demonstrating discrete changes in homeostatic and pathologic cell populations even in morphologically preserved lung, while through ligand-receptor analysis, we investigate cellular cross-talk within the fibrotic niche. We confirm findings through bioinformatic, tissue, and in vitro analyses, identifying that loss of NFKB inhibitor zeta in alveolar epithelial cells dysregulates the TGFβ/IL-6 signaling axis, which may impair homeostatic responses to environmental stress. Thus, spatially resolved deconvolution advances understanding of cell composition and microenvironment in human lung fibrogenesis. Spatial gene expression profiles for human lung fibrogenesis Changes in homeostatic and pathologic cell populations in the fibrotic niche Identification of a bone morphogenesis signature within fibroblastic foci Loss of alveolar epithelial NFKBIZ/IκBζ expression dysregulates the IL-6 axis Eyres et al. generate a spatial transcriptomic map of human lung tissue and show how this is perturbed in pulmonary fibrosis. They identify gain and loss of cell populations with evidence of complex cellular cross-talk within the fibrotic microenvironment.
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