ArticleJournal of thoracic disease2026
Integrative single-cell and bulk transcriptomic analyses identify
Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
8 authors.
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Abstract
Background: In idiopathic pulmonary fibrosis (IPF), damage to alveolar type II (AT2) cells and their aberrant reprogramming are regarded as key events in disease progression. Apart from anesthetic exposure, the peri-anesthetic period is also characterized by additional stressors, such as mechanical ventilation-induced stretch. Here, peri-anesthetic stress-related genes (PSRGs) were treated as a literature-derived, biologically relevant prior gene framework to prioritize candidate genes associated with AT2 state remodeling in IPF. Methods: Single-cell and bulk transcriptomic datasets from IPF and control lungs were analyzed. PSRGs were intersected with concordant differentially expressed genes to identify candidate hub genes, which were further prioritized using an integrated machine-learning framework. Results: Two AT2 states, mature and injury/transitional, were identified. Conclusions:
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