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Samakovlis, C.* ; Firsova, A.B.* ; Salas, S.M.* ; Kuemmerle, L. ; Abalo, X.M.* ; Larsson, L.* ; Mahbubani, K.T.* ; Sountoulidis, A.* ; Theelke, J.* ; Andrusivova, Z.* ; Galicia, L.A.* ; Liontos, A.* ; Balassa, T.* ; Kovács, F.* ; Horvath, P. ; Chen, Y.* ; Schniering, J. ; Stoleriu, M.-G. ; Behr, J.* ; Meyer, K.* ; Timens, W.* ; Schiller, H. ; Luecken, M. ; Theis, F.J. ; Lundeberg, J.* ; Nilsson, M.* ; Nawijn, M.C.*

Topographic atlas of cell states identifies regional gene expression in the adult human lung.

Research Square, DOI: 10.21203/rs.3.rs-5046381/v1 (2024)
Verlagsversion DOI
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
Integration of single cell mRNA sequencing data from millions of cells revealed a high diversity of cell types in the healthy and diseased human lung. In a large and complex organ, which is also constantly exposed to external agents, it is crucial to understand the inuence of lung tissue topography or external factors on gene expression variability within each cell type. Here, we applied three spatial transcriptomics approaches, to: (i) localize the majority of lung cell types, including rare epithelial cells within the tissue topography, (ii) describe consistent anatomical and regional variability in gene expression within and across cell types, and (iii) reveal distinct cellular neighborhoods for specic anatomical regions and examine gene expression variations in them. We thus provide a spatially resolving tissue reference atlas including cell type composition and gene expression variations in three representative regions of the healthy human lung. We further demonstrate its utility by dening previously unknown imbalances of epithelial cell type compositions in diseased tissue from patients with stage II COPD. Our topographic atlas enables a precise description of characteristic regional cellular responses upon experimental perturbations or during disease progression.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Zeitschrift Research Square
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
Institute of AI for Health (AIH)
Institute of Lung Health and Immunity (LHI)