Integrating multi-omics and machine learning to reveal IL1R2-driven macrophage-fibroblast spatial interactions in polycyclic aromatic hydrocarbon-induced pulmonary fibrosis
- DOI
- 10.3389/fimmu.2026.1968775
- Published
- 2026-10-21
- Container
- Frontiers in Immunology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fimmu.2026.1968775,
title = {Integrating multi-omics and machine learning to reveal IL1R2-driven macrophage-fibroblast spatial interactions in polycyclic aromatic hydrocarbon-induced pulmonary fibrosis},
author = {Xin Tang and Peiyi Bai and Qinyang Du and Wulin Yang and Gaopeng Li},
year = {2026},
journal = {Frontiers in Immunology},
doi = {10.3389/fimmu.2026.1968775},
url = {https://doi.org/10.3389/fimmu.2026.1968775}
}RIS
TY - JOUR TI - Integrating multi-omics and machine learning to reveal IL1R2-driven macrophage-fibroblast spatial interactions in polycyclic aromatic hydrocarbon-induced pulmonary fibrosis AU - Xin Tang AU - Peiyi Bai AU - Qinyang Du AU - Wulin Yang AU - Gaopeng Li PY - 2026 JO - Frontiers in Immunology DO - 10.3389/fimmu.2026.1968775 UR - https://doi.org/10.3389/fimmu.2026.1968775 ER -
APA
Tang, X., Bai, P., Du, Q., Yang, W., & Li, G. (2026). Integrating multi-omics and machine learning to reveal IL1R2-driven macrophage-fibroblast spatial interactions in polycyclic aromatic hydrocarbon-induced pulmonary fibrosis. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2026.1968775
Source records
- crossref · retrieved 2026-11-09T10:46:20.570Z