Background: Knowledge about lung development or lung disease is mainly derived from data extrapolated from mouse models. This has obvious drawbacks in developmental diseases, particularly due to species differences. Our objective is to describe the development of complementary analysis methods that will allow a better understanding of the molecular mechanisms involved in the pathogenesis of rare congenital diseases.

Methods: Paraffin-embedded human pediatric and fetal lung samples were laser microdissected to enrich different lung regions, namely, bronchioli or alveoli. These samples were analyzed by data-independent acquisition-based quantitative proteomics, and the lung structures were subsequently compared. To confirm the proteomic data, we employed an optimized Sequential ImmunoPeroxidase Labeling and Erasing (SIMPLE) staining for specific proteins of interest.

Results: By quantitative proteomics, we identified typical pulmonary proteins from being differentially expressed in different regions. While the receptor for advanced glycation end products (RAGE) and the surfactant protein C (SFTPC) were downregulated, tubulin beta 4B (TUBB4B) was upregulated in bronchioli, compared to alveoli. In fetal tissues, CD31 was downregulated in fetal bronchioli compared to canaliculi. Moreover, we confirmed their presence using SIMPLE staining. Some expected proteins did not show up in the proteomic data, such as SOX-9, which was only detected by means of immunohistochemistry in the SIMPLE analysis.

Conclusion: Our data underline the robustness and applicability of this type of experimental approach, especially for rare paraffin-embedded tissue samples. It also strengthens the importance of these methods for future studies, particularly when considering developmental lung diseases, such as congenital lung anomalies.