Unknown

Dataset Information

0

A spatially resolved atlas of the human lung characterizes a gland-associated immune niche.


ABSTRACT: Single-cell transcriptomics has allowed unprecedented resolution of cell types/states in the human lung, but their spatial context is less well defined. To (re)define tissue architecture of lung and airways, we profiled five proximal-to-distal locations of healthy human lungs in depth using multi-omic single cell/nuclei and spatial transcriptomics (queryable at lungcellatlas.org ). Using computational data integration and analysis, we extend beyond the suspension cell paradigm and discover macro and micro-anatomical tissue compartments including previously unannotated cell types in the epithelial, vascular, stromal and nerve bundle micro-environments. We identify and implicate peribronchial fibroblasts in lung disease. Importantly, we discover and validate a survival niche for IgA plasma cells in the airway submucosal glands (SMG). We show that gland epithelial cells recruit B cells and IgA plasma cells, and promote longevity and antibody secretion locally through expression of CCL28, APRIL and IL-6. This new 'gland-associated immune niche' has implications for respiratory health.

SUBMITTER: Madissoon E 

PROVIDER: S-EPMC9839452 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

A spatially resolved atlas of the human lung characterizes a gland-associated immune niche.

Madissoon Elo E   Oliver Amanda J AJ   Kleshchevnikov Vitalii V   Wilbrey-Clark Anna A   Polanski Krzysztof K   Richoz Nathan N   Ribeiro Orsi Ana A   Mamanova Lira L   Bolt Liam L   Elmentaite Rasa R   Pett J Patrick JP   Huang Ni N   Xu Chuan C   He Peng P   Dabrowska Monika M   Pritchard Sophie S   Tuck Liz L   Prigmore Elena E   Perera Shani S   Knights Andrew A   Oszlanczi Agnes A   Hunter Adam A   Vieira Sara F SF   Patel Minal M   Lindeboom Rik G H RGH   Campos Lia S LS   Matsuo Kazuhiko K   Nakayama Takashi T   Yoshida Masahiro M   Worlock Kaylee B KB   Nikolić Marko Z MZ   Georgakopoulos Nikitas N   Mahbubani Krishnaa T KT   Saeb-Parsy Kourosh K   Bayraktar Omer Ali OA   Clatworthy Menna R MR   Stegle Oliver O   Kumasaka Natsuhiko N   Teichmann Sarah A SA   Meyer Kerstin B KB  

Nature genetics 20221221 1


Single-cell transcriptomics has allowed unprecedented resolution of cell types/states in the human lung, but their spatial context is less well defined. To (re)define tissue architecture of lung and airways, we profiled five proximal-to-distal locations of healthy human lungs in depth using multi-omic single cell/nuclei and spatial transcriptomics (queryable at lungcellatlas.org ). Using computational data integration and analysis, we extend beyond the suspension cell paradigm and discover macro  ...[more]

Similar Datasets

| S-EPMC10073410 | biostudies-literature
| S-EPMC11337771 | biostudies-literature
| S-EPMC9044823 | biostudies-literature
2021-08-23 | E-MTAB-9388 | biostudies-arrayexpress
| S-EPMC11443819 | biostudies-literature
| S-EPMC7645789 | biostudies-literature
| S-SUBS17 | biostudies-other
| S-EPMC11244997 | biostudies-literature
| S-EPMC8494645 | biostudies-literature